From 64776b28f3b75a7bf13453849a7a8a77c8a5d94b Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Thu, 17 Aug 2023 11:21:12 -0700 Subject: [PATCH 001/182] Version bump --- docs/source/conf.py | 2 +- prompttools/version.py | 4 ++-- pyproject.toml | 2 +- version.txt | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index c9dcd871..b8704159 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -11,7 +11,7 @@ project = "prompttools" copyright = "2023, Hegel AI" author = "Hegel AI" -release = "0.0.32" +release = "0.0.33" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/prompttools/version.py b/prompttools/version.py index b7109ae7..f1b7fd0a 100644 --- a/prompttools/version.py +++ b/prompttools/version.py @@ -1,2 +1,2 @@ -__version__ = '0.0.32a0+15ff884' -git_version = '15ff88450ebb366d35b792ecaea212631a716ac9' +__version__ = '0.0.33a0+c405e4a' +git_version = 'c405e4ac0b8076f9bfb12cb1812ff953ff09b90e' diff --git a/pyproject.toml b/pyproject.toml index 969654a9..436e5817 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "prompttools" -version = "0.0.32" +version = "0.0.33" authors = [ { name="Hegel AI", email="team@hegel-ai.com" }, ] diff --git a/version.txt b/version.txt index 4955c4d2..129b9a8b 100644 --- a/version.txt +++ b/version.txt @@ -1 +1 @@ -0.0.32a0 +0.0.33a0 From 2011685fc58d72a83f54dd7e904521f1836f6686 Mon Sep 17 00:00:00 2001 From: Hashem Alsaket Date: Sun, 20 Aug 2023 02:46:26 -0500 Subject: [PATCH 002/182] Stable diffusion (#80) * starter code * Stable Diffusion Experiment * guarding, linting * return image in mock stable diffusion * image rendering * extra examples * guarding to __init__ --- .../image_experiments/StableDiffusion.ipynb | 223 ++++++++++++++++++ ... panda writing code in the Swiss Alps3.png | Bin 0 -> 409770 bytes .../A_fruit_basket_on_the_moon.png | Bin 0 -> 366355 bytes .../An_apple_orchard.png | Bin 0 -> 591602 bytes .../Just_a_fruit_basket.png | Bin 0 -> 460296 bytes prompttools/experiment/__init__.py | 2 + .../experiment/experiments/experiment.py | 31 ++- .../experiments/stablediffusion_experiment.py | 163 +++++++++++++ prompttools/mock/mock.py | 14 ++ .../mock_data/images/Just_a_fruit_basket.png | Bin 0 -> 498246 bytes prompttools/utils/similarity.py | 41 +++- 11 files changed, 471 insertions(+), 3 deletions(-) create mode 100644 examples/notebooks/image_experiments/StableDiffusion.ipynb create mode 100644 examples/notebooks/image_experiments/compare_images_folder/A panda writing code in the Swiss Alps3.png create mode 100644 examples/notebooks/image_experiments/compare_images_folder/A_fruit_basket_on_the_moon.png create mode 100644 examples/notebooks/image_experiments/stablediffusion_images/An_apple_orchard.png create mode 100644 examples/notebooks/image_experiments/stablediffusion_images/Just_a_fruit_basket.png create mode 100644 prompttools/experiment/experiments/stablediffusion_experiment.py create mode 100644 prompttools/mock/mock_data/images/Just_a_fruit_basket.png diff --git a/examples/notebooks/image_experiments/StableDiffusion.ipynb b/examples/notebooks/image_experiments/StableDiffusion.ipynb new file mode 100644 index 00000000..3ddb49a1 --- /dev/null +++ b/examples/notebooks/image_experiments/StableDiffusion.ipynb @@ -0,0 +1,223 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "34993521", + "metadata": {}, + "source": [ + "# Stable Diffusion Experiment" + ] + }, + { + "cell_type": "markdown", + "id": "5113e50e", + "metadata": {}, + "source": [ + "##### If you do not have an NVIDIA GPU [or AMD], make sure to login to hugging face using `huggingface-cli login` in your terminal." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "f122f5ee", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-08-19 20:56:52.443483: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", + "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "2023-08-19 20:56:53.009288: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n" + ] + } + ], + "source": [ + "from prompttools.experiment import StableDiffusionExperiment\n", + "from prompttools.utils.similarity import ssim" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "6c9117f1", + "metadata": {}, + "outputs": [], + "source": [ + "compare_images_paths = [\n", + " \"examples/notebooks/image_experiments/compare_images_folder/A panda writing code in the Swiss Alps3.png\",\n", + " \"examples/notebooks/image_experiments/compare_images_folder/A_fruit_basket_on_the_moon.png\",\n", + "]\n", + "\n", + "experiment = StableDiffusionExperiment(\n", + " hf_model_path=[\"CompVis/stable-diffusion-v1-4\"],\n", + " prompt=[\"Just a fruit basket\", \"An apple orchard\"],\n", + " compare_images_folder=\"examples/notebooks/image_experiments/compare_images_folder/\",\n", + " use_auth_token=True,\n", + " **{\"image_folder\": [\"stablediffusion_images/\"]}\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "b619df81", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ec20250ea5734628bff995b596c878ce", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Loading pipeline components...: 0%| | 0/7 [00:00\n", + " \n", + " \n", + " \n", + " prompt\n", + " client\n", + " response\n", + " latency\n", + " ssim_score\n", + " \n", + " \n", + " \n", + " \n", + " 0\n", + " Just a fruit basket\n", + " StableDiffusionPipeline {\\n \"_class_name\": \"StableDiffusionPipeline\",\\n \"_diffusers_version\": \"0.19.3\",\\n \"_name_or_path\": \"CompVis/stable-diffusion-v1-4\",\\n \"feature_extractor\": [\\n \"transformers\",\\n \"CLIPImageProcessor\"\\n ],\\n \"requires_safety_checker\": true,\\n \"safety_checker\": [\\n \"stable_diffusion\",\\n \"StableDiffusionSafetyChecker\"\\n ],\\n \"scheduler\": [\\n \"diffusers\",\\n \"PNDMScheduler\"\\n ],\\n \"text_encoder\": [\\n \"transformers\",\\n \"CLIPTextModel\"\\n ],\\n \"tokenizer\": [\\n \"transformers\",\\n \"CLIPTokenizer\"\\n ],\\n \"unet\": [\\n \"diffusers\",\\n \"UNet2DConditionModel\"\\n ],\\n \"vae\": [\\n \"diffusers\",\\n \"AutoencoderKL\"\\n ]\\n}\\n\n", + " \n", + " 391.952533\n", + " 0.173880\n", + " \n", + " \n", + " 1\n", + " An apple orchard\n", + " StableDiffusionPipeline {\\n \"_class_name\": \"StableDiffusionPipeline\",\\n \"_diffusers_version\": \"0.19.3\",\\n \"_name_or_path\": \"CompVis/stable-diffusion-v1-4\",\\n \"feature_extractor\": [\\n \"transformers\",\\n \"CLIPImageProcessor\"\\n ],\\n \"requires_safety_checker\": true,\\n \"safety_checker\": [\\n \"stable_diffusion\",\\n \"StableDiffusionSafetyChecker\"\\n ],\\n \"scheduler\": [\\n \"diffusers\",\\n \"PNDMScheduler\"\\n ],\\n \"text_encoder\": [\\n \"transformers\",\\n \"CLIPTextModel\"\\n ],\\n \"tokenizer\": [\\n \"transformers\",\\n \"CLIPTokenizer\"\\n ],\\n \"unet\": [\\n \"diffusers\",\\n \"UNet2DConditionModel\"\\n ],\\n \"vae\": [\\n \"diffusers\",\\n \"AutoencoderKL\"\\n ]\\n}\\n\n", + " \n", + " 549.473610\n", + " 0.105426\n", + " \n", + " \n", + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "experiment.run()\n", + "\n", + "experiment.evaluate(\n", + " \"ssim_score\",\n", + " ssim,\n", + " expected=compare_images_paths,\n", + " image_experiment=True\n", + ")\n", + "\n", + "experiment.visualize()" + ] + } + ], + 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display_image_html(self, base64_string): + return f'' + + def evaluate(self, metric_name: str, eval_fn: Callable, static_eval_fn_kwargs: dict = {}, image_experiment: bool = False, **eval_fn_kwargs) -> None: """ Using the given evaluation function that accepts a row of data, compute a new column with the evaluation result. Each row of data generally contain inputs, model response, and other previously computed metrics. @@ -294,6 +320,7 @@ def evaluate(self, metric_name: str, eval_fn: Callable, static_eval_fn_kwargs: d >>> experiment.evaluate("is_json", validate_json_response, >>> static_eval_fn_kwargs={"response_column_name": "response"}) """ + self.image_experiment = image_experiment if metric_name in self.score_df.columns: logging.warning(metric_name + " is already present, skipping.") return diff --git a/prompttools/experiment/experiments/stablediffusion_experiment.py b/prompttools/experiment/experiments/stablediffusion_experiment.py new file mode 100644 index 00000000..2741f340 --- /dev/null +++ b/prompttools/experiment/experiments/stablediffusion_experiment.py @@ -0,0 +1,163 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + +import os +from typing import Any, Dict, List +import itertools + +from time import perf_counter +import logging + +try: + import cv2 +except ImportError: + cv2 = None + +try: + from diffusers import DiffusionPipeline, StableDiffusionPipeline +except ImportError: + DiffusionPipeline = None +try: + import torch +except ImportError: + torch = None + +from prompttools.mock.mock import mock_stable_diffusion + +from .experiment import Experiment +from .error import PromptExperimentException + + +class StableDiffusionExperiment(Experiment): + r""" + Experiment for testing Stable Diffusion. + + Args: + ---- + hf_model_path (str): path to model on hugging face + use_auth_token (bool): boolean to determine if hf login is necessary [needed without GPU] + kwargs (dict): keyword arguments to call the model with + """ + + MODEL_PARAMETERS = ["hf_model_path", "prompt"] + + CALL_PARAMETERS: List[str] = ["prompt"] + + def __init__( + self, + hf_model_path: List[str], + prompt: List[str], + compare_images_folder: str, + use_auth_token: bool = False, + **kwargs: Dict[str, object], + ): + if DiffusionPipeline is None: + raise ModuleNotFoundError( + "Package `diffusers` is required to be installed to use this experiment." + "Please use `pip install diffusers` and \ + `pip install invisible_watermark transformers accelerate safetensors` to install the package" + ) + if torch is None: + raise ModuleNotFoundError( + "Package `torch` is required to be installed to use this experiment." + "Please use `pip install torch torchvision torchaudio` to install the package" + ) + if cv2 is None: + raise ModuleNotFoundError( + "Package `cv2` is required to be installed to use this experiment." + "Please use `pip opencv-python` to install the package" + ) + self.use_auth_token = use_auth_token + self.completion_fn = self.sd_completion_fn + self.compare_images_folder = compare_images_folder + if os.getenv("DEBUG", default=False): + self.completion_fn = mock_stable_diffusion + self.model_params = dict(hf_model_path=hf_model_path) + + self.call_params = dict(prompt=prompt) + for k, v in kwargs.items(): + self.CALL_PARAMETERS.append(k) + self.call_params[k] = v + + self.all_args = self.model_params | self.call_params + super().__init__() + + def prepare(self) -> None: + r""" + Combo builder. + """ + self.model_argument_combos = [ + dict(zip(self.model_params, val, strict=False)) for val in itertools.product(*self.model_params.values()) + ] + self.call_argument_combos = [ + dict(zip(self.call_params, val, strict=False)) for val in itertools.product(*self.call_params.values()) + ] + + def sd_completion_fn( + self, + **params: Dict[str, Any], + ): + r""" + Local model helper function to make request. + """ + client = params["client"] + image_folder = params["image_folder"] + if not os.path.exists(image_folder): + os.makedirs(image_folder) + response = client(params["prompt"]) + img = response["images"][0] + img_path = params["image_folder"] + "_".join(params["prompt"].split(" ")) + ".png" + img.save(img_path) + main_img = cv2.imread(img_path) + logging.info("Resizing comparison images to match Stable Diffusion response image size for comparison.") + for fil in os.listdir(self.compare_images_folder): + compare_img = cv2.imread(self.compare_images_folder+fil) + compare_img = cv2.resize(compare_img, (main_img.shape[1], main_img.shape[0])) + cv2.imwrite(self.compare_images_folder+fil, compare_img) + return main_img + + def run( + self, + runs: int = 1, + ) -> None: + r""" + Create tuples of input and output for every possible combination of arguments. + For each combination, it will execute `runs` times, default to 1. + # TODO This can be done with an async queue. + """ + if not self.argument_combos: + logging.info("Preparing first...") + self.prepare() + results = [] + latencies = [] + for model_combo in self.model_argument_combos: + for call_combo in self.call_argument_combos: + if self.use_auth_token: + client = StableDiffusionPipeline.from_pretrained( + model_combo["hf_model_path"], + use_auth_token=self.use_auth_token + ) + else: + client = DiffusionPipeline.from_pretrained( + model_combo["hf_model_path"], + {k: call_combo[k] for k in call_combo if k != "prompt"} + ) + client.to("cuda") + for _ in range(runs): + call_combo["client"] = client + start = perf_counter() + res = self.completion_fn(**call_combo) + latencies.append(perf_counter() - start) + results.append(res) + self.argument_combos.append(model_combo | call_combo) + if len(results) == 0: + logging.error("No results. Something went wrong.") + raise PromptExperimentException + self._construct_result_dfs(self.argument_combos, results, latencies, extract_response_equal_full_result=True) + + @staticmethod + def _extract_responses(output: object) -> object: + return cv2.cvtColor(output, cv2.COLOR_BGR2GRAY) diff --git a/prompttools/mock/mock.py b/prompttools/mock/mock.py index ff83b590..e7ad4685 100644 --- a/prompttools/mock/mock.py +++ b/prompttools/mock/mock.py @@ -8,6 +8,11 @@ These mock functions exist for testing and demo purposes. """ import json +import warnings +try: + import cv2 +except ImportError: + cv2 = None def mock_openai_chat_completion_fn(**kwargs): @@ -125,3 +130,12 @@ def mock_mindsdb_completion_fn(**kwargs): def mock_lc_completion_fn(**kwargs): return "The first president of the United States was George Washington." + + +def mock_stable_diffusion(**kwargs): + if cv2 is None: + raise ModuleNotFoundError( + "Package `cv2` is required to be installed to use this experiment." + "Please use `pip install opencv-python` to install the package" + ) + return cv2.imread("/mock_data/images/Just_a_fruit_basket.png") diff --git a/prompttools/mock/mock_data/images/Just_a_fruit_basket.png b/prompttools/mock/mock_data/images/Just_a_fruit_basket.png new file mode 100644 index 0000000000000000000000000000000000000000..aa0f903dda6e34a1fdda3ed947c8dd8b9ab85ced GIT binary patch literal 498246 zcmWh!dmt0~`^KTe(m967q|#gtBbiyOE84`OHa5&Hxvbin#gdRhsTpBH+o)J*W}9-q 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logging -EMBEDDING_MODEL = [] # +try: + import cv2 +except ImportError: + cv2 = None +try: + from skimage.metrics import structural_similarity +except ImportError: + structural_similarity = None + + +EMBEDDING_MODEL = [] CHROMA_CLIENT = [] @@ -81,6 +91,35 @@ def evaluate(prompt: str, response: str, metadata: Dict, expected: str) -> float return compute(expected, response) +def ssim(row: pandas.core.series.Series, expected: str, response_column_name: str = "response") -> float: + r""" + Structural similarity index measure (SSIM) between two images. + + Args: + ---- + row (pandas.core.series.Series): A row of data from the full DataFrame (including input, model response, other + metrics, etc). + expected (str): the path to the expected image responses for each row in the column + response_column_name (str): name of the column that contains the model's response, defaults to ``"response"`` + """ + if cv2 is None: + raise ModuleNotFoundError( + "Package `cv2` is required to be installed to use this experiment." + "Please use `pip install opencv-python` to install the package" + ) + if structural_similarity is None: + raise ModuleNotFoundError( + "Package `skimage` is required to be installed to use this experiment." + "Please use `pip install scikit-image` to install the package" + ) + if len(expected) == 1: + logging.warn("Expected should be a list of strings." + "You may have passed in a single string") + expected_img = cv2.imread(expected) + expected_img = cv2.cvtColor(expected_img, cv2.COLOR_BGR2GRAY) + (score, _) = structural_similarity(row[response_column_name], expected_img, full=True) + return score + + def semantic_similarity(row: pandas.core.series.Series, expected: str, response_column_name: str = "response") -> float: r""" A simple test that checks semantic similarity between the expected response (provided by the user) From 321fdc339cee3b56c7eb6eaaf09f55a76a8e4a79 Mon Sep 17 00:00:00 2001 From: "Steven Krawczyk (Hegel AI)" Date: Mon, 21 Aug 2023 13:50:29 -0700 Subject: [PATCH 003/182] Fix badge --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c214f0ce..6b1ee2e8 100644 --- a/README.md +++ b/README.md @@ -13,7 +13,7 @@

- Total Downloads + Total Downloads From 4a58e8501b20610cfb698d9da4360640b3dce8c0 Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 17 Aug 2023 15:17:58 -0700 Subject: [PATCH 004/182] Adding optional response extractor argument to the result construction method --- .../experiment/experiments/experiment.py | 17 ++++++++++++++--- 1 file changed, 14 insertions(+), 3 deletions(-) diff --git a/prompttools/experiment/experiments/experiment.py b/prompttools/experiment/experiments/experiment.py index 924624a8..4a906ee2 100644 --- a/prompttools/experiment/experiments/experiment.py +++ b/prompttools/experiment/experiments/experiment.py @@ -197,6 +197,7 @@ def _construct_result_dfs( results: list[dict[str, object]], latencies: list[float], extract_response_equal_full_result: bool = False, + response_extractors: Optional[dict[str, Callable]] = None, ): r""" Takes in the input, results, and other metrics from the experiment's run, and construct a few DataFrames that @@ -212,11 +213,15 @@ def _construct_result_dfs( Args: input_args (list[dict[str, object]]): list of dictionaries, where each of them is a set of - input argument that was passed into the model + input argument that was passed into the model results (list[dict[str, object]]): list of responses from the model latencies (list[float]): list of latency measurements extract_response_equal_full_result (bool): if ``True``, ``result_df`` will only contain - the extracted response, lead to a simpler (but incomplete) columns of results. + the extracted response, lead to a simpler (but incomplete) columns of results. + response_extractors (Optional[dict[str, Callable]]): Optional dictionary of response extractors, + defaults to ``None``, which will use the ``_extract_responses`` defined by the class. + The key of the dictionary will be the name of the resulting column, the value of the dictionary + will be an extractor function that accepts the response from the model and returns a value. """ # `input_arg_df` contains all all input args input_arg_df = pd.DataFrame(input_args) @@ -224,7 +229,13 @@ def _construct_result_dfs( dynamic_input_arg_df = _get_dynamic_columns(input_arg_df) # `response_df` contains the extracted response (often being the text response) - response_df = pd.DataFrame({"response": [self._extract_responses(result) for result in results]}) + if response_extractors is None: + response_df = pd.DataFrame({"response": [self._extract_responses(result) for result in results]}) + else: + res_dict = {} + for col_name, extractor in response_extractors.items(): + res_dict[col_name] = [extractor(result) for result in results] + response_df = pd.DataFrame(res_dict) # `result_df` contains everything returned by the completion function if extract_response_equal_full_result: result_df = response_df From e22a0f3eb2e87a6bae82479613239603551ecdec Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 21 Aug 2023 22:23:34 -0700 Subject: [PATCH 005/182] Initial replicate experiment --- prompttools/experiment/__init__.py | 2 + .../experiments/replicate_experiment.py | 78 +++++++++++++++++++ prompttools/mock/mock.py | 18 ++++- 3 files changed, 97 insertions(+), 1 deletion(-) create mode 100644 prompttools/experiment/experiments/replicate_experiment.py diff --git a/prompttools/experiment/__init__.py b/prompttools/experiment/__init__.py index 76605c41..ba423813 100644 --- a/prompttools/experiment/__init__.py +++ b/prompttools/experiment/__init__.py @@ -18,6 +18,7 @@ from .experiments.mindsdb_experiment import MindsDBExperiment from .experiments.langchain_experiment import SequentialChainExperiment, RouterChainExperiment from .experiments.stablediffusion_experiment import StableDiffusionExperiment +from .experiments.replicate_experiment import ReplicateExperiment __all__ = [ "AnthropicCompletionExperiment", @@ -30,6 +31,7 @@ "MindsDBExperiment", "OpenAIChatExperiment", "OpenAICompletionExperiment", + "ReplicateExperiment", "RouterChainExperiment", "SequentialChainExperiment", "StableDiffusionExperiment", diff --git a/prompttools/experiment/experiments/replicate_experiment.py b/prompttools/experiment/experiments/replicate_experiment.py new file mode 100644 index 00000000..316b7a05 --- /dev/null +++ b/prompttools/experiment/experiments/replicate_experiment.py @@ -0,0 +1,78 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. +import itertools + +from prompttools.mock.mock import mock_replicate_stable_diffusion_completion_fn + +import os + + +try: + import replicate + +except ImportError: + replicate = None + +from .experiment import Experiment + + +class ReplicateExperiment(Experiment): + r""" + Perform an experiment with the Replicate API to test different embedding functions or retrieval arguments. + You can query from an existing table, or create a new one (and insert documents into it) during + the experiment. + + Note: + Set your API token to ``os.environ["REPLICATE_API_TOKEN"]``. + + Args: + models (list[str]): "stability-ai/stable-diffusion:27b93a2413e" + input_kwargs (dict[str, list]): keyword arguments that can be used across all models + + model_specific_kwargs (dict[str, dict[str, list]]): model-specific keyword arguments that will only be used + by a specific model (e.g. ``stability-ai/stable-diffusion:27b93a2413`` + """ + + def __init__( + self, models: list[str], input_kwargs: dict[str, list], model_specific_kwargs: dict[str, dict[str, list]] = {} + ): + if replicate is None: + raise ModuleNotFoundError( + "Package `replicate` is required to be installed to use this experiment." + "Please use `pip install replicate` to install the package" + ) + try: + os.environ["REPLICATE_API_TOKEN"] + except KeyError: + raise RuntimeError('`os.environ["REPLICATE_API_TOKEN]` needs to be set.') + self.models = models + self.input_kwargs = input_kwargs + self.model_specific_kwargs = model_specific_kwargs + if os.getenv("DEBUG", default=False): + self.completion_fn = mock_replicate_stable_diffusion_completion_fn + else: + self.completion_fn = self.replicate_completion_fn + super().__init__() + + def prepare(self): + for model in self.models: + for base_combo in itertools.product(*self.input_kwargs.values()): + arg_dict = dict(zip(self.input_kwargs.keys(), base_combo)) + # arg_dict['model_version'] = model + for model_combo in itertools.product(*self.model_specific_kwargs[model].values()): + model_arg_dict = dict(zip(self.model_specific_kwargs[model].keys(), model_combo)) + for k, v in model_arg_dict.items(): + arg_dict[k] = v + self.argument_combos.append({"model_version": model, "input": arg_dict}) + + @staticmethod + def replicate_completion_fn(model_version: str, **kwargs): + return replicate.run(model_version, input=kwargs) + + @staticmethod + def _extract_responses(output: dict) -> list[str]: + # TODO: May need to extract image from the URI, perhaps with `cv2.imread` + return output["data"] diff --git a/prompttools/mock/mock.py b/prompttools/mock/mock.py index e7ad4685..db7f8c82 100644 --- a/prompttools/mock/mock.py +++ b/prompttools/mock/mock.py @@ -123,7 +123,8 @@ def mock_palm_completion_fn(**kwargs): def mock_mindsdb_completion_fn(**kwargs): return [ ( - "The first president of the United States was George Washington. However, if you're referring to a different country, please specify so I can provide the correct information.", + "The first president of the United States was George Washington. However, " + "if you're referring to a different country, please specify so I can provide the correct information.", ) ] @@ -139,3 +140,18 @@ def mock_stable_diffusion(**kwargs): "Please use `pip install opencv-python` to install the package" ) return cv2.imread("/mock_data/images/Just_a_fruit_basket.png") + + +# TODO: Consider return URI pointing to local images instead +def mock_replicate_stable_diffusion_completion_fn(model_version: str, **kwargs): + json_string = r""" + { + "title": "Output", + "data": [ + "https://mock.com/1.jpeg", + "https://mock.com/2.jpeg", + "https://mock.com/3.jpeg" + ] + } + """ + return json.loads(json_string) From ed88143dadb861b2bcf6d311aa87ac7061b11c5a Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 21 Aug 2023 22:23:40 -0700 Subject: [PATCH 006/182] Initial replicate experiment example --- examples/notebooks/ReplicateExperiment.ipynb | 242 +++++++++++++++++++ 1 file changed, 242 insertions(+) create mode 100644 examples/notebooks/ReplicateExperiment.ipynb diff --git a/examples/notebooks/ReplicateExperiment.ipynb b/examples/notebooks/ReplicateExperiment.ipynb new file mode 100644 index 00000000..a500a4c0 --- /dev/null +++ b/examples/notebooks/ReplicateExperiment.ipynb @@ -0,0 +1,242 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0a13ddc8", + "metadata": {}, + "source": [ + "# Replicate Experiment Example" + ] + }, + { + "cell_type": "markdown", + "id": "623f0cfe", + "metadata": {}, + "source": [ + "## Installations" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "885dabeb", + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install --quiet --force-reinstall prompttools" + ] + }, + { + "cell_type": "markdown", + "id": "2eac35f8", + "metadata": {}, + "source": [ + "## Setup imports and API keys" + ] + }, + { + "cell_type": "markdown", + "id": "5edba05a", + "metadata": {}, + "source": [ + "First, we'll need to set our API keys." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "ed4e635e", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "os.environ[\"DEBUG\"] = \"1\" # Set this to \"\" to call Replicate's API, otherwise a mock function is used\n", + "os.environ[\"REPLICATE_API_TOKEN\"] = \"\"" + ] + }, + { + "cell_type": "markdown", + "id": "842f1e47", + "metadata": {}, + "source": [ + "Then we'll import the relevant `prompttools` modules to setup our experiment." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "beaa70a1", + "metadata": {}, + "outputs": [], + "source": [ + "from prompttools.experiment import ReplicateExperiment" + ] + }, + { + "cell_type": "markdown", + "id": "622dea9a", + "metadata": {}, + "source": [ + "## Run an experiment" + ] + }, + { + "cell_type": "markdown", + "id": "3babfe5a", + "metadata": {}, + "source": [ + "Next, we create our test inputs. We can iterate over models, inputs, and configurations like temperature." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "347590cf", + "metadata": {}, + "outputs": [], + "source": [ + "sd1 = \"stability-ai/stable-diffusion:27b93a2413e7f36cd83da926f3656280b2931564ff050bf9575f1fdf9bcd7478\"\n", + "models = [sd1] # You can specify multiple models here\n", + "input_kwargs = {\"prompt\": [\"a 19th century portrait of a wombat gentleman\", \"a 22nd century portrait of a wombat gentleman\"]}\n", + "model_specific_kwargs = {sd1: {}}\n", + "\n", + "experiment = ReplicateExperiment(models, input_kwargs, model_specific_kwargs)" + ] + }, + { + "cell_type": "markdown", + "id": "f3fa5450", + "metadata": {}, + "source": [ + "We can then run the experiment to get results." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "1a261583", + "metadata": {}, + "outputs": [], + "source": [ + "experiment.run()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "fc4c4fd2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

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0{'prompt': 'a 19th century portrait of a wombat gentleman'}[https://mock.com/1.jpeg, https://mock.com/2.jpeg, https://mock.com/3.jpeg]0.000008
1{'prompt': 'a 22nd century portrait of a wombat gentleman'}[https://mock.com/1.jpeg, https://mock.com/2.jpeg, https://mock.com/3.jpeg]0.000003
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" + ], + "text/plain": [ + " input \\\n", + "0 {'prompt': 'a 19th century portrait of a wombat gentleman'} \n", + "1 {'prompt': 'a 22nd century portrait of a wombat gentleman'} \n", + "\n", + " response \\\n", + "0 [https://mock.com/1.jpeg, https://mock.com/2.jpeg, https://mock.com/3.jpeg] \n", + "1 [https://mock.com/1.jpeg, https://mock.com/2.jpeg, https://mock.com/3.jpeg] \n", + "\n", + " latency \n", + "0 0.000008 \n", + "1 0.000003 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "experiment.visualize()" + ] + }, + { + "cell_type": "markdown", + "id": "266c13eb", + "metadata": {}, + "source": [ + "## Evaluate the model response" + ] + }, + { + "cell_type": "markdown", + "id": "bebb8023", + "metadata": {}, + "source": [ + "This will be updated once we add image evaluation functions. Please don't hesitate to open an issue if you have any suggestions. Stay tuned." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "78c0c9f6", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From ce6734e39647045d6a89a43f7e575783aaf11f6e Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 21 Aug 2023 22:37:04 -0700 Subject: [PATCH 007/182] Touch StableDiffusion experiment and structural similarity, and add to documentation --- docs/source/experiment.rst | 5 +++++ docs/source/utils.rst | 2 ++ .../image_experiments/StableDiffusion.ipynb | 6 +++--- .../experiments/stablediffusion_experiment.py | 13 +++++------- prompttools/utils/similarity.py | 21 ++++++++++--------- 5 files changed, 26 insertions(+), 21 deletions(-) diff --git a/docs/source/experiment.rst b/docs/source/experiment.rst index 64ae6200..a4662120 100644 --- a/docs/source/experiment.rst +++ b/docs/source/experiment.rst @@ -58,3 +58,8 @@ Vector DBs .. autoclass:: WeaviateExperiment .. autoclass:: LanceDBExperiment + +Computer Vision ++++++++++++++++++++++++++++++++++++++++++ + +.. autoclass:: StableDiffusionExperiment diff --git a/docs/source/utils.rst b/docs/source/utils.rst index 0201015b..0a5c7bf6 100644 --- a/docs/source/utils.rst +++ b/docs/source/utils.rst @@ -22,4 +22,6 @@ They can also be used with ``prompttest`` for be part of your CI/CD system. .. autofunction:: prompttools.utils.semantic_similarity +.. autofunction:: prompttools.utils.structural_similarity + .. autofunction:: prompttools.utils.similarity.compute diff --git a/examples/notebooks/image_experiments/StableDiffusion.ipynb b/examples/notebooks/image_experiments/StableDiffusion.ipynb index 3ddb49a1..9dde5fb0 100644 --- a/examples/notebooks/image_experiments/StableDiffusion.ipynb +++ b/examples/notebooks/image_experiments/StableDiffusion.ipynb @@ -34,7 +34,7 @@ ], "source": [ "from prompttools.experiment import StableDiffusionExperiment\n", - "from prompttools.utils.similarity import ssim" + "from prompttools.utils.similarity import structural_similarity" ] }, { @@ -185,7 +185,7 @@ "\n", "experiment.evaluate(\n", " \"ssim_score\",\n", - " ssim,\n", + " structural_similarity,\n", " expected=compare_images_paths,\n", " image_experiment=True\n", ")\n", @@ -210,7 +210,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.11.4" }, "vscode": { "interpreter": { diff --git a/prompttools/experiment/experiments/stablediffusion_experiment.py b/prompttools/experiment/experiments/stablediffusion_experiment.py index 2741f340..a5fcbea0 100644 --- a/prompttools/experiment/experiments/stablediffusion_experiment.py +++ b/prompttools/experiment/experiments/stablediffusion_experiment.py @@ -33,10 +33,9 @@ class StableDiffusionExperiment(Experiment): r""" - Experiment for testing Stable Diffusion. + Experiment for experiment with the Stable Diffusion model. Args: - ---- hf_model_path (str): path to model on hugging face use_auth_token (bool): boolean to determine if hf login is necessary [needed without GPU] kwargs (dict): keyword arguments to call the model with @@ -114,9 +113,9 @@ def sd_completion_fn( main_img = cv2.imread(img_path) logging.info("Resizing comparison images to match Stable Diffusion response image size for comparison.") for fil in os.listdir(self.compare_images_folder): - compare_img = cv2.imread(self.compare_images_folder+fil) + compare_img = cv2.imread(self.compare_images_folder + fil) compare_img = cv2.resize(compare_img, (main_img.shape[1], main_img.shape[0])) - cv2.imwrite(self.compare_images_folder+fil, compare_img) + cv2.imwrite(self.compare_images_folder + fil, compare_img) return main_img def run( @@ -137,13 +136,11 @@ def run( for call_combo in self.call_argument_combos: if self.use_auth_token: client = StableDiffusionPipeline.from_pretrained( - model_combo["hf_model_path"], - use_auth_token=self.use_auth_token + model_combo["hf_model_path"], use_auth_token=self.use_auth_token ) else: client = DiffusionPipeline.from_pretrained( - model_combo["hf_model_path"], - {k: call_combo[k] for k in call_combo if k != "prompt"} + model_combo["hf_model_path"], {k: call_combo[k] for k in call_combo if k != "prompt"} ) client.to("cuda") for _ in range(runs): diff --git a/prompttools/utils/similarity.py b/prompttools/utils/similarity.py index 42042569..368ed099 100644 --- a/prompttools/utils/similarity.py +++ b/prompttools/utils/similarity.py @@ -17,9 +17,9 @@ except ImportError: cv2 = None try: - from skimage.metrics import structural_similarity + from skimage.metrics import structural_similarity as skimage_structural_similarity except ImportError: - structural_similarity = None + skimage_structural_similarity = None EMBEDDING_MODEL = [] @@ -91,32 +91,33 @@ def evaluate(prompt: str, response: str, metadata: Dict, expected: str) -> float return compute(expected, response) -def ssim(row: pandas.core.series.Series, expected: str, response_column_name: str = "response") -> float: +def structural_similarity( + row: pandas.core.series.Series, expected: str, response_column_name: str = "response" +) -> float: r""" - Structural similarity index measure (SSIM) between two images. + Compute the structural similarity index measure (SSIM) between two images. Args: - ---- row (pandas.core.series.Series): A row of data from the full DataFrame (including input, model response, other metrics, etc). - expected (str): the path to the expected image responses for each row in the column - response_column_name (str): name of the column that contains the model's response, defaults to ``"response"`` + expected (str): the column name of the expected image responses in each row + response_column_name (str): the column name that contains the model's response, defaults to ``"response"`` """ if cv2 is None: raise ModuleNotFoundError( "Package `cv2` is required to be installed to use this experiment." "Please use `pip install opencv-python` to install the package" ) - if structural_similarity is None: + if skimage_structural_similarity is None: raise ModuleNotFoundError( "Package `skimage` is required to be installed to use this experiment." "Please use `pip install scikit-image` to install the package" ) if len(expected) == 1: - logging.warn("Expected should be a list of strings." + "You may have passed in a single string") + logging.warning("Expected should be a list of strings. You may have passed in a single string.") expected_img = cv2.imread(expected) expected_img = cv2.cvtColor(expected_img, cv2.COLOR_BGR2GRAY) - (score, _) = structural_similarity(row[response_column_name], expected_img, full=True) + score, _ = skimage_structural_similarity(row[response_column_name], expected_img, full=True) return score From 1ccaf4233df1871326fb446c8ca8cf2907170b8a Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 21 Aug 2023 22:43:59 -0700 Subject: [PATCH 008/182] Updating README examples --- examples/notebooks/README.md | 4 ++++ examples/notebooks/ReplicateExperiment.ipynb | 2 +- 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/examples/notebooks/README.md b/examples/notebooks/README.md index 60e21549..d57169a4 100644 --- a/examples/notebooks/README.md +++ b/examples/notebooks/README.md @@ -48,3 +48,7 @@ have something to share. - [LangChain Sequential Chain Experiment](LangChainSequentialChainExperiment.ipynb) - [LangChain Router Chain Experiment](LangChainRouterChainExperiment.ipynb) - [MindsDB Experiment](MindsDBExperiment.ipynb) + +### Computer Vision +- [Stable Diffusion](image_experiments/StableDiffusion.ipynb) +- [Replicate's hosted Stable Diffusion](ReplicateExperiment.ipynb) diff --git a/examples/notebooks/ReplicateExperiment.ipynb b/examples/notebooks/ReplicateExperiment.ipynb index a500a4c0..22e776b6 100644 --- a/examples/notebooks/ReplicateExperiment.ipynb +++ b/examples/notebooks/ReplicateExperiment.ipynb @@ -206,7 +206,7 @@ "id": "bebb8023", "metadata": {}, "source": [ - "This will be updated once we add image evaluation functions. Please don't hesitate to open an issue if you have any suggestions. Stay tuned." + "This will be updated with structural similarity evaluation. Please don't hesitate to open an issue if you have any suggestions. Stay tuned." ] }, { From 31d3440b7d050a44661d62374170da4aa7092322 Mon Sep 17 00:00:00 2001 From: Kevin Tse Date: Tue, 22 Aug 2023 09:12:38 -0700 Subject: [PATCH 009/182] Remove torch reference (#85) --- .../experiment/experiments/stablediffusion_experiment.py | 9 --------- 1 file changed, 9 deletions(-) diff --git a/prompttools/experiment/experiments/stablediffusion_experiment.py b/prompttools/experiment/experiments/stablediffusion_experiment.py index a5fcbea0..696a27fa 100644 --- a/prompttools/experiment/experiments/stablediffusion_experiment.py +++ b/prompttools/experiment/experiments/stablediffusion_experiment.py @@ -20,10 +20,6 @@ from diffusers import DiffusionPipeline, StableDiffusionPipeline except ImportError: DiffusionPipeline = None -try: - import torch -except ImportError: - torch = None from prompttools.mock.mock import mock_stable_diffusion @@ -59,11 +55,6 @@ def __init__( "Please use `pip install diffusers` and \ `pip install invisible_watermark transformers accelerate safetensors` to install the package" ) - if torch is None: - raise ModuleNotFoundError( - "Package `torch` is required to be installed to use this experiment." - "Please use `pip install torch torchvision torchaudio` to install the package" - ) if cv2 is None: raise ModuleNotFoundError( "Package `cv2` is required to be installed to use this experiment." From e1f55a32d0a38bb22eed9bf9291d8842668da98a Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 22 Aug 2023 09:15:59 -0700 Subject: [PATCH 010/182] Passing kwargs to StableDiffusion experiment --- .../experiment/experiments/stablediffusion_experiment.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/prompttools/experiment/experiments/stablediffusion_experiment.py b/prompttools/experiment/experiments/stablediffusion_experiment.py index 696a27fa..7b4b0e1e 100644 --- a/prompttools/experiment/experiments/stablediffusion_experiment.py +++ b/prompttools/experiment/experiments/stablediffusion_experiment.py @@ -131,7 +131,7 @@ def run( ) else: client = DiffusionPipeline.from_pretrained( - model_combo["hf_model_path"], {k: call_combo[k] for k in call_combo if k != "prompt"} + model_combo["hf_model_path"], **{k: call_combo[k] for k in call_combo if k != "prompt"} ) client.to("cuda") for _ in range(runs): From 184455635aff4d23c3bad65c88aeacdbeda5d4b5 Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 23 Aug 2023 23:55:54 -0700 Subject: [PATCH 011/182] Adding Azure OpenAI Config to OpenAI Completion Experiment --- .../openai_completion_experiment.py | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/prompttools/experiment/experiments/openai_completion_experiment.py b/prompttools/experiment/experiments/openai_completion_experiment.py index 8619c745..bccc2b84 100644 --- a/prompttools/experiment/experiments/openai_completion_experiment.py +++ b/prompttools/experiment/experiments/openai_completion_experiment.py @@ -27,6 +27,7 @@ class OpenAICompletionExperiment(Experiment): Args: model (list[str]): list of ID(s) of the model(s) to use + If you are using Azure OpenAI service, put the models' deployment names here prompt (list[str]): the prompt(s) to generate completions for, encoded as a string, array of strings, array of tokens, or array of token arrays. @@ -77,9 +78,15 @@ class OpenAICompletionExperiment(Experiment): probability per token). Results cannot be streamed. logit_bias (list[dict]): - Defaults to [None]. Modify the likelihood of specified tokens appearing in the completion. Accepts a + Defaults to ``[None]``. Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. + + azure_openai_service_configs (Optional[dict]): + Defaults to ``None``. If it is set, the experiment will use Azure OpenAI Service. The input dict should + contain these 3 keys (but with values based on your use case and configuration): + ``{"AZURE_OPENAI_ENDPOINT": "https://YOUR_RESOURCE_NAME.openai.azure.com/", + "API_TYPE": "azure", "API_VERSION": "2023-05-15"`` """ def __init__( @@ -99,6 +106,7 @@ def __init__( frequency_penalty: Optional[List[float]] = [0], best_of: Optional[List[int]] = [1], logit_bias: Optional[Dict] = [None], + azure_openai_service_configs: Optional[dict] = None, ): self.completion_fn = openai.Completion.create if os.getenv("DEBUG", default=False): @@ -132,6 +140,14 @@ def __init__( best_of=best_of, logit_bias=logit_bias, ) + if azure_openai_service_configs: + openai.api_key = os.environ["AZURE_OPENAI_KEY"] + openai.api_base = azure_openai_service_configs["AZURE_OPENAI_ENDPOINT"] + openai.api_type = azure_openai_service_configs["API_TYPE"] + openai.api_version = azure_openai_service_configs["API_VERSION"] + del self.all_args["model"] + self.all_args["engine"] = model + super().__init__() @staticmethod From 6cc7d5b993a7210d5f6e90472f87e0049e460e12 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Kacper=20=C5=81ukawski?= Date: Thu, 24 Aug 2023 10:01:58 +0200 Subject: [PATCH 012/182] Implement QdrantExperiment (#54) * Add initial implementation of the QdrantExperiment * Add mock and use _construct_result_dfs * Create QdrantExperiment.ipynb --- examples/notebooks/QdrantExperiment.ipynb | 419 ++++++++++++++++++ examples/prompttests/test_qdrant.py | 52 +++ .../experiments/qdrant_experiment.py | 190 ++++++++ prompttools/mock/mock.py | 14 + 4 files changed, 675 insertions(+) create mode 100644 examples/notebooks/QdrantExperiment.ipynb create mode 100644 examples/prompttests/test_qdrant.py create mode 100644 prompttools/experiment/experiments/qdrant_experiment.py diff --git a/examples/notebooks/QdrantExperiment.ipynb b/examples/notebooks/QdrantExperiment.ipynb new file mode 100644 index 00000000..c3ead11d --- /dev/null +++ b/examples/notebooks/QdrantExperiment.ipynb @@ -0,0 +1,419 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "21672bc8", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true + } + }, + "source": [ + "# Qdrant Experiment Example" + ] + }, + { + "cell_type": "markdown", + "id": "996489f1", + "metadata": {}, + "source": [ + "## Installations" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "311dbd94", + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-22T09:30:56.338732Z", + "start_time": "2023-08-22T09:30:56.335000Z" + } + }, + "outputs": [], + "source": [ + "# !pip install --quiet --force-reinstall prompttools\n", + "# !pip install qdrant-client" + ] + }, + { + "cell_type": "markdown", + "id": "fa75a78f", + "metadata": {}, + "source": [ + "Qdrant offers three deployment modes: in-memory/on-disk built-in into Python client, on-premise with Docker containers and Qdrant Cloud. For the purposes of the demo it's easiest to spin up a Docker container with the following command:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "4c26e3dc", + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-22T09:30:56.414005Z", + "start_time": "2023-08-22T09:30:56.341387Z" + } + }, + "outputs": [], + "source": [ + "# !docker run -p \"6333:6333\" -p \"6334:6334\" qdrant/qdrant:v1.4.0" + ] + }, + { + "cell_type": "markdown", + "id": "22d3f9c0", + "metadata": {}, + "source": [ + "## Run an experiment\n", + "\n", + "Collection configuration plays a crucial role in balancing speed vs accuracy. HNSW parameters might be tuned to control how exact the search operations will be, but on the other hand that may result in increased latency. There are also some other parameters, such as embeddings or distance function you may want to test before starting a project." + ] + }, + { + "cell_type": "markdown", + "id": "dcba0c8d", + "metadata": {}, + "source": [ + "Embedding function is a key component for semantic search. For the purposes of that experiment we are going to use `all-MiniLM-L6-v2` from SentenceTransformers." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "b66c4fde", + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-22T09:30:59.383420Z", + "start_time": "2023-08-22T09:30:56.417456Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/kacper/.virtualenvs/prompttools/lib/python3.10/site-packages/torch/cuda/__init__.py:107: UserWarning: CUDA initialization: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 804: forward compatibility was attempted on non supported HW (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:109.)\n", + " return torch._C._cuda_getDeviceCount() > 0\n" + ] + } + ], + "source": [ + "from sentence_transformers import SentenceTransformer\n", + "\n", + "\n", + "model = SentenceTransformer(\"sentence-transformers/all-MiniLM-L6-v2\")\n", + "\n", + "\n", + "def embedding_function(text: str):\n", + " return model.encode(text).tolist()" + ] + }, + { + "cell_type": "markdown", + "id": "b27d68a4", + "metadata": {}, + "source": [ + "Some of the parameters are going to be fixed during the whole experiment. We are not going to change the Qdrant client, embedding function, vector size, document and queries. We can define them as a first dictionary." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "ed0f6571", + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-22T09:30:59.855859Z", + "start_time": "2023-08-22T09:30:59.386197Z" + } + }, + "outputs": [], + "source": [ + "from qdrant_client import QdrantClient\n", + "\n", + "\n", + "frozen_parameters = {\n", + " \"client\": QdrantClient(\"http://localhost:6333\"),\n", + " \"collection_name\": \"test_collection\",\n", + " \"embedding_fn\": embedding_function,\n", + " \"vector_size\": 384, # We need to know the dimensionality of the embedding\n", + " \"documents\": [\"test document 1\", \"test document 2\"],\n", + " \"queries\": [\"test query 1\", \"test query 2\"],\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "ce48bd74", + "metadata": {}, + "source": [ + "Our experiment will check how the system behaves under different configurations. We can define both collection and query parameters:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "e8598eb0", + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-22T09:30:59.862158Z", + "start_time": "2023-08-22T09:30:59.857916Z" + } + }, + "outputs": [], + "source": [ + "test_parameters = {\n", + " \"collection_params\": {\n", + " \"vectors_config__distance\": [\"Cosine\", \"Euclid\", \"Dot\"],\n", + " \"hnsw_config__m\": [16, 32, 64, 128],\n", + " },\n", + " \"query_params\": {\n", + " \"search_params__hnsw_ef\": [1, 16, 32, 64, 128],\n", + " \"search_params__exact\": [True, False],\n", + " },\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "ae9b2c0a", + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-22T09:23:58.301767Z", + "start_time": "2023-08-22T09:23:58.285588Z" + } + }, + "source": [ + "Finally, we are able to launch the experiment." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "d220cbcf", + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-22T09:34:00.733821Z", + "start_time": "2023-08-22T09:34:00.470074Z" + } + }, + "outputs": [], + "source": [ + "from prompttools.experiment.experiments.qdrant_experiment import QdrantExperiment\n", + "\n", + "\n", + "experiment = QdrantExperiment.initialize(test_parameters=test_parameters, frozen_parameters=frozen_parameters)\n", + "experiment.run()" + ] + }, + { + "cell_type": "markdown", + "id": "5dcc381e", + "metadata": {}, + "source": [ + "The results of the experiment might be used further to calculate some metrics and determine the best configuration of the engine in a particular scenario." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "c723b796", + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-22T09:31:00.497373Z", + "start_time": "2023-08-22T09:31:00.497351Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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0{'hnsw_ef': 1, 'exact': True}[0.024773715063929558, 0.04144531488418579, 0.01278286799788475, 0.09144901484251022, -0.08428235352039337, 0.026642095297574997, 0.14001256227493286, 0.037845369428396225, -0.036010514944791794, -0.035383205860853195, 0.07331386208534241, -0.09981919080018997, 0.07208795100450516, -0.08177464455366135, -0.03372645005583763, -0.026198092848062515, 0.007823744788765907, -0.05943206325173378, -0.045515742152929306, 0.01116162072867155, -0.036530762910842896, -0.04401981085538864, -0.0475635901093483, 0.070327989757061, 0.019287584349513054, -0.018562251701951027, 0.021239709109067917, 0.014735235832631588, 0.03941147401928902, -0.057817116379737854, -0.019634393975138664, 0.043356701731681824, -0.03757508099079132, 0.06539657711982727, 0.10788384079933167, -0.09214196354150772, 0.0677819475531578, -0.0006760165560990572, -0.01706380769610405, 5.571492147282697e-05, -0.005168926436454058, -0.11285313218832016, 0.06314507126808167, -0.04196688160300255, -0.014073682017624378, 0.047889478504657745, -0.02251909300684929, 0.13618265092372894, -0.040116459131240845, -0.04491341859102249, -0.11577481031417847, -0.017022281885147095, -0.09723599255084991, -0.02146202139556408, -0.021104147657752037, -0.0209374837577343, -0.08296425640583038, 0.007878098636865616, -0.0194426067173481, 0.04828505963087082, -0.009565607644617558, -0.0198497474193573, 0.08935166150331497, 0.027390005066990852, 0.05083496868610382, -0.08648493140935898, 0.02043042704463005, -0.05061521753668785, 0.0643402561545372, -0.0330120213329792, -0.04423206299543381, 0.001910282182507217, -0.03994475677609444, 0.045240066945552826, -0.006637560669332743, 0.01001442689448595, -0.05905541777610779, -0.05051897466182709, 0.04575075954198837, -0.05852947756648064, -0.04943345859646797, -0.07612475752830505, -0.070700503885746, 0.016476262360811234, 0.022484982386231422, 0.05507957190275192, 0.11701894551515579, -0.0023378280457109213, -0.03449930250644684, -0.044528309255838394, 0.0598871186375618, 0.05605398491024971, -0.04443911090493202, 0.042640648782253265, 0.02585383877158165, 0.017724832519888878, 0.03406650945544243, -0.023438140749931335, 0.0613379031419754, 0.11572054773569107, ...][test document 1, test document 2]0.028570
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4{'hnsw_ef': 16, 'exact': True}[0.024773715063929558, 0.04144531488418579, 0.01278286799788475, 0.09144901484251022, -0.08428235352039337, 0.026642095297574997, 0.14001256227493286, 0.037845369428396225, -0.036010514944791794, -0.035383205860853195, 0.07331386208534241, -0.09981919080018997, 0.07208795100450516, -0.08177464455366135, -0.03372645005583763, -0.026198092848062515, 0.007823744788765907, -0.05943206325173378, -0.045515742152929306, 0.01116162072867155, -0.036530762910842896, -0.04401981085538864, -0.0475635901093483, 0.070327989757061, 0.019287584349513054, -0.018562251701951027, 0.021239709109067917, 0.014735235832631588, 0.03941147401928902, -0.057817116379737854, -0.019634393975138664, 0.043356701731681824, -0.03757508099079132, 0.06539657711982727, 0.10788384079933167, -0.09214196354150772, 0.0677819475531578, -0.0006760165560990572, -0.01706380769610405, 5.571492147282697e-05, -0.005168926436454058, -0.11285313218832016, 0.06314507126808167, -0.04196688160300255, -0.014073682017624378, 0.047889478504657745, -0.02251909300684929, 0.13618265092372894, -0.040116459131240845, -0.04491341859102249, -0.11577481031417847, -0.017022281885147095, -0.09723599255084991, -0.02146202139556408, -0.021104147657752037, -0.0209374837577343, -0.08296425640583038, 0.007878098636865616, -0.0194426067173481, 0.04828505963087082, -0.009565607644617558, -0.0198497474193573, 0.08935166150331497, 0.027390005066990852, 0.05083496868610382, -0.08648493140935898, 0.02043042704463005, -0.05061521753668785, 0.0643402561545372, -0.0330120213329792, -0.04423206299543381, 0.001910282182507217, -0.03994475677609444, 0.045240066945552826, -0.006637560669332743, 0.01001442689448595, -0.05905541777610779, -0.05051897466182709, 0.04575075954198837, -0.05852947756648064, -0.04943345859646797, -0.07612475752830505, -0.070700503885746, 0.016476262360811234, 0.022484982386231422, 0.05507957190275192, 0.11701894551515579, -0.0023378280457109213, -0.03449930250644684, -0.044528309255838394, 0.0598871186375618, 0.05605398491024971, -0.04443911090493202, 0.042640648782253265, 0.02585383877158165, 0.017724832519888878, 0.03406650945544243, -0.023438140749931335, 0.0613379031419754, 0.11572054773569107, ...][test document 1, test document 2]0.003591
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1555NaNNaN[test document 2, test document 1]0.004494
1556NaNNaN[test document 1, test document 2]0.002611
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1558NaNNaN[test document 1, test document 2]0.004089
1559NaNNaN[test document 2, test document 1]0.002871
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1560 rows × 4 columns

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\n", + "1557 [test document 2, test document 1] 0.002219 \n", + "1558 [test document 1, test document 2] 0.004089 \n", + "1559 [test document 2, test document 1] 0.002871 \n", + "\n", + "[1560 rows x 4 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "experiment.visualize()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2c72a759-f020-4b7f-ab92-effb1e71928a", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/prompttests/test_qdrant.py b/examples/prompttests/test_qdrant.py new file mode 100644 index 00000000..87b220c3 --- /dev/null +++ b/examples/prompttests/test_qdrant.py @@ -0,0 +1,52 @@ +import hashlib +from typing import List + +from qdrant_client import QdrantClient + +from prompttools.experiment.experiments.qdrant_experiment import QdrantExperiment + + +def embedding_function(text: str) -> List[float]: + r""" + Create vector embedding from text. This is a dummy function for testing purposes + and returns a vector of 16 floats. + + Args: + text (str): Text to be vectorized + Returns: + List[float]: Vector embedding of the text + """ + import numpy as np + import struct + + vectorized_text = np.abs( + np.array(struct.unpack(">ffffffffffffffff", hashlib.sha512(text.encode("utf-8")).digest())) + ) + normalized_vector = vectorized_text / np.linalg.norm(vectorized_text) + return normalized_vector.tolist() + + +test_parameters = { + "collection_params": { + "vectors_config__distance": ["Cosine", "Euclid", "Dot"], + "hnsw_config__m": [16, 32, 64, 128], + }, + "query_params": { + "search_params__hnsw_ef": [1, 16, 32, 64, 128], + "search_params__exact": [True, False], + }, +} +frozen_parameters = { + # Run Qdrant server locally with: + # docker run -p "6333:6333" -p "6334:6334" qdrant/qdrant:v1.4.0 + "client": QdrantClient("http://localhost:6333"), + "collection_name": "test_collection", + "embedding_fn": embedding_function, + "vector_size": 16, + "documents": ["test document 1", "test document 2"], + "queries": ["test query 1", "test query 2"], +} +experiment = QdrantExperiment.initialize(test_parameters=test_parameters, frozen_parameters=frozen_parameters) +experiment.run() + +print(experiment.get_table(True)) diff --git a/prompttools/experiment/experiments/qdrant_experiment.py b/prompttools/experiment/experiments/qdrant_experiment.py new file mode 100644 index 00000000..6f968f7e --- /dev/null +++ b/prompttools/experiment/experiments/qdrant_experiment.py @@ -0,0 +1,190 @@ +import itertools +import json +import logging +import os +import time +import warnings +from collections import defaultdict +from typing import Callable, List, Iterable, Optional, Dict, Any + +from prompttools.experiment.experiments.error import PromptExperimentException +from prompttools.mock.mock import mock_qdrant_fn + +try: + import qdrant_client +except ImportError: + qdrant_client = None + +from prompttools.experiment import Experiment + +VALID_TASKS = [""] + + +Embedding = List[float] +EmbeddingFn = Callable[[str], Embedding] + + +class QdrantExperiment(Experiment): + DEFAULT_DISTANCE = "Cosine" + + def __init__( + self, + client: "qdrant_client.QdrantClient", + collection_name: str, + embedding_fn: EmbeddingFn, + vector_size: int, + documents: Iterable[str], + queries: Iterable[str], + collection_params: Optional[Dict[str, List[Any]]] = None, + query_params: Optional[Dict[str, List[Any]]] = None, + ): + if qdrant_client is None: + raise ModuleNotFoundError( + "Package `qdrant-client` is required to be installed to use this " + "experiment. Please use `pip install qdrant-client` to install the " + "package" + ) + self.client = client + self.collection_name = collection_name + self.embedding_fn = embedding_fn + self.documents = documents + self.queries = queries + self.collection_params = collection_params or {} + + if "vectors_config__size" in collection_params: + warnings.warn( + "The parameter 'vectors_config__size' is not allowed in " + "QdrantExperiment. The vector size is determined by the embedding " + "function. It will be overwritten by {}".format(vector_size) + ) + # The vector size is a required parameter for Qdrant and has to be overwritten + self.collection_params["vectors_config__size"] = [vector_size] + + # The distance is set only if not provided by the user + if "vectors_config__distance" not in collection_params: + self.collection_params["vectors_config__distance"] = [self.DEFAULT_DISTANCE] + + self.query_params = query_params or {} + self.completion_fn = self.qdrant_completion_fn + if os.getenv("DEBUG", default=False): + self.completion_fn = mock_qdrant_fn + self.collection_args_combo: List[dict] = [] + self.query_argument_combos: List[dict] = [] + self.vectorized_documents: List["qdrant_client.models.Record"] = [] + super().__init__() + + @classmethod + def initialize(cls, test_parameters: dict[str, dict[str, list]], frozen_parameters: dict): + required_frozen_params = ( + "client", + "collection_name", + "embedding_fn", + "vector_size", + "documents", + ) + for arg_name in required_frozen_params: + if arg_name not in frozen_parameters or arg_name in test_parameters: + raise RuntimeError(f"'{arg_name}' must be a frozen parameter in QdrantExperiment.") + return cls(**test_parameters, **frozen_parameters) + + def qdrant_completion_fn(self, **kwargs) -> List["qdrant_client.qdrant_client.types.ScoredPoint"]: + query_result = self.client.search(self.collection_name, with_vectors=True, with_payload=True, **kwargs) + return query_result + + def prepare(self) -> None: + from qdrant_client import models + + # Vectorize the documents and queries + self.vectorized_documents = [ + models.Record( + id=i, + vector=self.embedding_fn(document), + payload={"document": document}, + ) + for i, document in enumerate(self.documents) + ] + self.query_params["query_vector"] = [self.embedding_fn(query) for query in self.queries] + + self.collection_args_combo: list[dict] = [] + for combo in itertools.product(*self.collection_params.values()): + self.collection_args_combo.append(dict(zip(self.collection_params.keys(), combo))) + + self.query_argument_combos: list[dict] = [] + for combo in itertools.product(*self.query_params.values()): + self.query_argument_combos.append(dict(zip(self.query_params.keys(), combo))) + + def run(self, runs: int = 1) -> None: + from qdrant_client import models + + input_args, results, latencies = [], [], [] + if not self.query_argument_combos: + logging.info("Preparing first...") + self.prepare() + for collection_args in self.collection_args_combo: + collection_args = self._create_nested_object(collection_args) + + try: + # Create the collection + self.client.create_collection(self.collection_name, **collection_args) + + # Upload and index the documents + self.client.upload_records(self.collection_name, self.vectorized_documents) + + # Wait for the collection to be indexed + while True: + collection_info = self.client.get_collection(self.collection_name) + if collection_info.status == models.CollectionStatus.GREEN: + logging.info("Collection is indexed") + break + logging.info("Waiting for collection to be indexed...") + time.sleep(1) + + # Run the queries + for query_args in self.query_argument_combos: + query_args = self._create_nested_object(query_args) + for _ in range(runs): + input_args.append(query_args) + self.queue.enqueue(self.completion_fn, query_args) + + results.extend(self.queue.get_results()) + latencies.extend(self.queue.get_latencies()) + finally: + self.client.delete_collection(self.collection_name) + + self._construct_result_dfs(input_args, results, latencies) + + @staticmethod + def _extract_responses(output: List["qdrant_client.qdrant_client.types.ScoredPoint"]) -> list[str]: + return [response.payload["document"] for response in output] + + def _create_nested_object(self, args: Dict[str, Any]) -> Dict[str, Any]: + r""" + Create a nested object using a flat argument dictionary. If a dict key contains + a double underscore, it is considered a nested object. For example, if the + argument dictionary contains the key `a__b__c`, this function will return + a nested object of the form `{"a": {"b": {"c": }}}`. + + If there are multiple keys with the same prefix, the returned object will + contain a list of nested objects. For example, if the argument dictionary + contains the keys `a__b__c` and `a__b__d`, this function will return + a nested object of the form `{"a": {"b": [{"c": }, {"d": }]}}`. + + Args: + args: A flat argument dictionary + + Returns: + dict: A nested object + """ + tree = lambda: defaultdict(tree) + + nested_object = tree() + for key, value in args.items(): + key_parts = key.split("__") + current = nested_object + for key_part in key_parts[:-1]: + current = current[key_part] + current[key_parts[-1]] = value + + # Convert defaultdict to dict + nested_object = json.loads(json.dumps(nested_object)) + return nested_object diff --git a/prompttools/mock/mock.py b/prompttools/mock/mock.py index db7f8c82..bd52595d 100644 --- a/prompttools/mock/mock.py +++ b/prompttools/mock/mock.py @@ -155,3 +155,17 @@ def mock_replicate_stable_diffusion_completion_fn(model_version: str, **kwargs): } """ return json.loads(json_string) + + +def mock_qdrant_fn(**kwargs): + from qdrant_client.conversions.common_types import ScoredPoint + + return [ + ScoredPoint( + id="cf515c6f-1d95-4a21-9052-1a2ecdab34b3", + version=13, + score=0.7435235231239, + payload={"document": "The first president of the United States was George Washington."}, + vector=[0.1, 0.2, 0.3], + ) + ] From 7d0b68fb16dec297db2f23f7d4ebca272ecae85c Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 24 Aug 2023 23:45:34 -0700 Subject: [PATCH 013/182] Adding Qdrant to import path and documentation --- docs/source/experiment.rst | 2 ++ examples/notebooks/QdrantExperiment.ipynb | 2 +- examples/notebooks/README.md | 1 + examples/prompttests/test_qdrant.py | 2 +- prompttools/experiment/__init__.py | 2 ++ 5 files changed, 7 insertions(+), 2 deletions(-) diff --git a/docs/source/experiment.rst b/docs/source/experiment.rst index a4662120..8718d39d 100644 --- a/docs/source/experiment.rst +++ b/docs/source/experiment.rst @@ -59,6 +59,8 @@ Vector DBs .. autoclass:: LanceDBExperiment +.. autoclass:: QdrantExperiment + Computer Vision +++++++++++++++++++++++++++++++++++++++++ diff --git a/examples/notebooks/QdrantExperiment.ipynb b/examples/notebooks/QdrantExperiment.ipynb index c3ead11d..4da56499 100644 --- a/examples/notebooks/QdrantExperiment.ipynb +++ b/examples/notebooks/QdrantExperiment.ipynb @@ -199,7 +199,7 @@ }, "outputs": [], "source": [ - "from prompttools.experiment.experiments.qdrant_experiment import QdrantExperiment\n", + "from prompttools.experiment import QdrantExperiment\n", "\n", "\n", "experiment = QdrantExperiment.initialize(test_parameters=test_parameters, frozen_parameters=frozen_parameters)\n", diff --git a/examples/notebooks/README.md b/examples/notebooks/README.md index d57169a4..979a4216 100644 --- a/examples/notebooks/README.md +++ b/examples/notebooks/README.md @@ -42,6 +42,7 @@ have something to share. - [Weaviate Experiment](WeaviateExperiment.ipynb) shows how you can easily try different vectorizers, configuration, and query functions, and compare the final results. - [LanceDB Experiment](LanceDBExperiment.ipynb) allows you to try different embedding functions, and query methods. +- [Qdrant Experiment](QdrantExperiment.ipynb) explores different ways to query Qdrant, including with vectors. ### Frameworks diff --git a/examples/prompttests/test_qdrant.py b/examples/prompttests/test_qdrant.py index 87b220c3..ae27cd30 100644 --- a/examples/prompttests/test_qdrant.py +++ b/examples/prompttests/test_qdrant.py @@ -3,7 +3,7 @@ from qdrant_client import QdrantClient -from prompttools.experiment.experiments.qdrant_experiment import QdrantExperiment +from prompttools.experiment import QdrantExperiment def embedding_function(text: str) -> List[float]: diff --git a/prompttools/experiment/__init__.py b/prompttools/experiment/__init__.py index ba423813..4ada9be5 100644 --- a/prompttools/experiment/__init__.py +++ b/prompttools/experiment/__init__.py @@ -19,6 +19,7 @@ from .experiments.langchain_experiment import SequentialChainExperiment, RouterChainExperiment from .experiments.stablediffusion_experiment import StableDiffusionExperiment from .experiments.replicate_experiment import ReplicateExperiment +from .experiments.qdrant_experiment import QdrantExperiment __all__ = [ "AnthropicCompletionExperiment", @@ -31,6 +32,7 @@ "MindsDBExperiment", "OpenAIChatExperiment", "OpenAICompletionExperiment", + "QdrantExperiment", "ReplicateExperiment", "RouterChainExperiment", "SequentialChainExperiment", From 2a4f47ce5e036c28f102c74d4bc545768c769dbd Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 25 Aug 2023 10:13:37 -0700 Subject: [PATCH 014/182] Adding Azure OpenAI Completion Example --- .../AzureOpenAICompletionExperiment.ipynb | 273 ++++++++++++++++++ .../openai_completion_experiment.py | 10 + 2 files changed, 283 insertions(+) create mode 100644 examples/notebooks/AzureOpenAICompletionExperiment.ipynb diff --git a/examples/notebooks/AzureOpenAICompletionExperiment.ipynb b/examples/notebooks/AzureOpenAICompletionExperiment.ipynb new file mode 100644 index 00000000..cea7ef3a --- /dev/null +++ b/examples/notebooks/AzureOpenAICompletionExperiment.ipynb @@ -0,0 +1,273 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0a13ddc8", + "metadata": {}, + "source": [ + "# Azure OpenAI Completion Experiment Example" + ] + }, + { + "cell_type": "markdown", + "id": "a6ce89a6", + "metadata": {}, + "source": [ + "The purpose of this example is to show how you can use Azure OpenAI Service in addition to OpenAI's API. If you are interested to learn more about what you can do with experiments and evaluation. Please have a look at other notebooks." + ] + }, + { + "cell_type": "markdown", + "id": "623f0cfe", + "metadata": {}, + "source": [ + "## Installations" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "885dabeb", + "metadata": { + "ExecuteTime": { + "end_time": "2023-08-23T20:15:59.891935Z", + "start_time": "2023-08-23T20:15:59.888576Z" + } + }, + "outputs": [], + "source": [ + "# !pip install --quiet --force-reinstall prompttools" + ] + }, + { + "cell_type": "markdown", + "id": "2eac35f8", + "metadata": {}, + "source": [ + "## Setup imports and API keys" + ] + }, + { + "cell_type": "markdown", + "id": "5edba05a", + "metadata": {}, + "source": [ + "First, we'll need to set our Azure API key." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "ed4e635e", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "os.environ[\"AZURE_OPENAI_KEY\"] = \"\" # Insert your Azure OpenAI key here" + ] + }, + { + "cell_type": "markdown", + "id": "842f1e47", + "metadata": {}, + "source": [ + "Then we'll import the relevant `prompttools` modules to setup our experiment." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "beaa70a1", + "metadata": {}, + "outputs": [], + "source": [ + "from prompttools.experiment import OpenAICompletionExperiment" + ] + }, + { + "cell_type": "markdown", + "id": "622dea9a", + "metadata": {}, + "source": [ + "## Run an experiment" + ] + }, + { + "cell_type": "markdown", + "id": "3babfe5a", + "metadata": {}, + "source": [ + "To use the Azure OpenAI Serivce instead of OpenAI's API, you can use the same experiment with some minor changes:\n", + "- Pass the names of your deployed models into the `models` parameter\n", + "- Create a dictionary to specify your Azure OpenAI configs, which include 1) link to your end point, 2) API Type (\"azure\"), and 3) API version\n", + "\n", + "Everything else should be the same and you can test over different prompts and parameters as usual." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9114cfbf", + "metadata": {}, + "outputs": [], + "source": [ + "# You can test multiple deployed models here, use their deployment names on Azure\n", + "models = [\"REPLACE_WITH_YOUR_DEPLOYMENT_NAME\", \"DEPLOYMENT2\"]\n", + "prompts = [\n", + " \"Write a tagline for an ice cream shop.\",\n", + " \"Tell me a joke.\"\n", + "]\n", + "\n", + "azure_openai_service_configs = {\"AZURE_OPENAI_ENDPOINT\": \"https://YOURENDPOINTNAME.openai.azure.com/\",\n", + " \"API_TYPE\": \"azure\",\n", + " \"API_VERSION\": \"2023-05-15\"} # Specify which API version to use\n", + "temperatures = [0.0, 1.0]\n", + "# You can add more parameters that you'd like to test here.\n", + "\n", + "experiment = OpenAICompletionExperiment(models, prompts, temperature=temperatures,\n", + " azure_openai_service_configs=azure_openai_service_configs)" + ] + }, + { + "cell_type": "markdown", + "id": "f3fa5450", + "metadata": {}, + "source": [ + "We can then run the experiment to get results." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "779d3d26", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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For evaluation examples, please examine the other notebook examples." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/prompttools/experiment/experiments/openai_completion_experiment.py b/prompttools/experiment/experiments/openai_completion_experiment.py index bccc2b84..3337917b 100644 --- a/prompttools/experiment/experiments/openai_completion_experiment.py +++ b/prompttools/experiment/experiments/openai_completion_experiment.py @@ -140,6 +140,16 @@ def __init__( best_of=best_of, logit_bias=logit_bias, ) + + # These parameters aren't supported by `gpt-35-turbo`, we can remove them if they are equal to defaults + # This has no impact on the default case + if self.all_args["echo"] == [False]: + del self.all_args["echo"] + if self.all_args["logit_bias"] == [None]: + del self.all_args["logit_bias"] + if self.all_args["best_of"] == [1]: + del self.all_args["best_of"] + if azure_openai_service_configs: openai.api_key = os.environ["AZURE_OPENAI_KEY"] openai.api_base = azure_openai_service_configs["AZURE_OPENAI_ENDPOINT"] From 460594fbba965ae27ff423ea5cb3e289b4d0e4bc Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 25 Aug 2023 10:23:29 -0700 Subject: [PATCH 015/182] Update README for list of supported models --- README.md | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 6b1ee2e8..78b34496 100644 --- a/README.md +++ b/README.md @@ -97,22 +97,27 @@ LLMs - HuggingFace (Hub API, Inference Endpoints) - **Supported** - Anthropic - **Supported** - Google PaLM - **Supported** -- Replicate - Exploratory +- Azure OpenAI Service - **Supported** +- Replicate - _In Progress_ - Ollama - _In Progress_ -Frameworks -- LangChain - **Supported** -- MindsDB - **Supported** - Vector Databases and Data Utility - Chroma - **Supported** - Weaviate - **Supported** -- Qdrant - _In Progress_ +- Qdrant - **Supported** - LanceDB - **Supported** - Milvus - Exploratory - Pinecone - Exploratory + +Frameworks +- LangChain - **Supported** +- MindsDB - **Supported** - LlamaIndex - Exploratory +Computer Vision +- Stable Diffusion - **Supported** +- Replicate's hosted Stable Diffusion - _In Progress_ + If you have any API that you'd like to see being supported soon, please open an issue or a PR to add it. Feel free to discuss in our Discord channel as well. From ba913ce20ddea2c43291bb49fa75d045c993881a Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 25 Aug 2023 15:57:24 -0700 Subject: [PATCH 016/182] Specifying that you can use an OpenAI fine-tuned model --- README.md | 2 +- examples/notebooks/OpenAIChatExperiment.ipynb | 368 +++++++++++++++--- .../OpenAIChatFunctionExperiment.ipynb | 2 +- .../experiments/openai_chat_experiment.py | 2 +- .../openai_completion_experiment.py | 2 +- 5 files changed, 324 insertions(+), 52 deletions(-) diff --git a/README.md b/README.md index 78b34496..3a81db42 100644 --- a/README.md +++ b/README.md @@ -92,7 +92,7 @@ and more description of individual components. Check it out! Here is a list of APIs that we support with our experiments: LLMs -- OpenAI (Completion, ChatCompletion) - **Supported** +- OpenAI (Completion, ChatCompletion, Fine-tuned models) - **Supported** - LLaMA.Cpp (LLaMA 1, LLaMA 2) - **Supported** - HuggingFace (Hub API, Inference Endpoints) - **Supported** - Anthropic - **Supported** diff --git a/examples/notebooks/OpenAIChatExperiment.ipynb b/examples/notebooks/OpenAIChatExperiment.ipynb index a7443644..cf6ab6b5 100644 --- a/examples/notebooks/OpenAIChatExperiment.ipynb +++ b/examples/notebooks/OpenAIChatExperiment.ipynb @@ -23,8 +23,7 @@ "metadata": {}, "outputs": [], "source": [ - "# !pip install --quiet --force-reinstall prompttools\n", - "# !pip install --quiet matplotlib" + "# !pip install --quiet --force-reinstall prompttools" ] }, { @@ -98,7 +97,7 @@ "metadata": {}, "outputs": [], "source": [ - "models = [\"gpt-3.5-turbo\", \"gpt-3.5-turbo-0613\"]\n", + "models = [\"gpt-3.5-turbo\", \"gpt-3.5-turbo-0613\"] # You can also use a fine-tuned model here, e.g. [\"ft:gpt-3.5-turbo:org_id\"]\n", "messages = [\n", " [\n", " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", @@ -129,6 +128,281 @@ "experiment.run()" ] }, + { + "cell_type": "code", + "execution_count": 6, + "id": "7598332b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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modeltemperaturemessagesresponselatencysimilar_to_expected
0gpt-3.5-turbo0.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]George Washington2.917135e-061.0
1gpt-3.5-turbo1.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]George Washington1.291977e-061.0
2gpt-3.5-turbo-06130.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]George Washington8.328352e-071.0
3gpt-3.5-turbo-06131.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]George Washington7.499475e-071.0
\n", + "
" + ], + "text/plain": [ + " model temperature \\\n", + "0 gpt-3.5-turbo 0.0 \n", + "1 gpt-3.5-turbo 1.0 \n", + "2 gpt-3.5-turbo-0613 0.0 \n", + "3 gpt-3.5-turbo-0613 1.0 \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "\n", + " response latency similar_to_expected \n", + "0 George Washington 2.917135e-06 1.0 \n", + "1 George Washington 1.291977e-06 1.0 \n", + "2 George Washington 8.328352e-07 1.0 \n", + "3 George Washington 7.499475e-07 1.0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "experiment.visualize_table()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "a508b623", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "experiment.aggregate_by_row(metric_name=\"latency\", column_name=\"model\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bde10f4b", + "metadata": {}, + "outputs": [], + "source": [ + "experiment.aggregate(metric_name=\"latency\", column_name=\"model\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ae154478", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "40f611d4", + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "id": "266c13eb", @@ -147,37 +421,24 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 13, "id": "8ddbb951", "metadata": {}, "outputs": [], "source": [ - "from prompttools.utils import semantic_similarity" + "from prompttools.utils import similarity" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 14, "id": "e80dfeec", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/torch/utils/tensorboard/__init__.py:4: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", - " if not hasattr(tensorboard, \"__version__\") or LooseVersion(\n", - "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/torch/utils/tensorboard/__init__.py:6: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", - " ) < LooseVersion(\"1.15\"):\n", - "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/tensorflow/python/debug/cli/debugger_cli_common.py:19: DeprecationWarning: module 'sre_constants' is deprecated\n", - " import sre_constants\n" - ] - } - ], + "outputs": [], "source": [ - "experiment.evaluate(\"similar_to_expected\", semantic_similarity, expected=[\"George Washington\"] * 4)" + "experiment.evaluate(\"similar_to_expected\", similarity.evaluate, expected=[\"George Washington\"] * 4)" ] }, { @@ -190,7 +451,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 15, "id": "4d09c18e", "metadata": { "scrolled": true @@ -217,44 +478,49 @@ " \n", " \n", " \n", - " model\n", - " temperature\n", + " messages\n", " response\n", " latency\n", " similar_to_expected\n", + " model\n", + " temperature\n", " \n", " \n", " \n", " \n", " 0\n", - " gpt-3.5-turbo\n", - " 0.0\n", + " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " George Washington\n", - " 3.125053e-06\n", + " 0.000007\n", " 1.0\n", + " gpt-3.5-turbo\n", + " 0.0\n", " \n", " \n", " 1\n", - " gpt-3.5-turbo\n", - " 1.0\n", + " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " George Washington\n", - " 9.580981e-07\n", + " 0.000004\n", + " 1.0\n", + " gpt-3.5-turbo\n", " 1.0\n", " \n", " \n", " 2\n", - " gpt-3.5-turbo-0613\n", - " 0.0\n", + " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " George Washington\n", - " 6.670598e-07\n", + " 0.000003\n", " 1.0\n", + " gpt-3.5-turbo-0613\n", + " 0.0\n", " \n", " \n", " 3\n", - " gpt-3.5-turbo-0613\n", - " 1.0\n", + " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " George Washington\n", - " 5.410984e-07\n", + " 0.000002\n", + " 1.0\n", + " gpt-3.5-turbo-0613\n", " 1.0\n", " \n", " \n", @@ -262,17 +528,23 @@ "" ], "text/plain": [ - " model temperature response latency \\\n", - "0 gpt-3.5-turbo 0.0 George Washington 3.125053e-06 \n", - "1 gpt-3.5-turbo 1.0 George Washington 9.580981e-07 \n", - "2 gpt-3.5-turbo-0613 0.0 George Washington 6.670598e-07 \n", - "3 gpt-3.5-turbo-0613 1.0 George Washington 5.410984e-07 \n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "\n", + " response latency similar_to_expected model \\\n", + "0 George Washington 0.000007 1.0 gpt-3.5-turbo \n", + "1 George Washington 0.000004 1.0 gpt-3.5-turbo \n", + "2 George Washington 0.000003 1.0 gpt-3.5-turbo-0613 \n", + "3 George Washington 0.000002 1.0 gpt-3.5-turbo-0613 \n", "\n", - " similar_to_expected \n", - "0 1.0 \n", - "1 1.0 \n", - "2 1.0 \n", - "3 1.0 " + " temperature \n", + "0 0.0 \n", + "1 1.0 \n", + "2 0.0 \n", + "3 1.0 " ] }, "metadata": {}, @@ -285,13 +557,13 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "id": "d0007a1f", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" ] diff --git a/examples/notebooks/OpenAIChatFunctionExperiment.ipynb b/examples/notebooks/OpenAIChatFunctionExperiment.ipynb index 13c5922b..f983c0b3 100644 --- a/examples/notebooks/OpenAIChatFunctionExperiment.ipynb +++ b/examples/notebooks/OpenAIChatFunctionExperiment.ipynb @@ -98,7 +98,7 @@ "metadata": {}, "outputs": [], "source": [ - "models = [\"gpt-3.5-turbo\", \"gpt-3.5-turbo-0613\"]\n", + "models = [\"gpt-3.5-turbo\", \"gpt-3.5-turbo-0613\"] # You can also use a fine-tuned model here, e.g. [\"ft:gpt-3.5-turbo:org_id\"]\n", "messages = [\n", " [\n", " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index 28ca9c30..f77593e1 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -27,7 +27,7 @@ class OpenAIChatExperiment(Experiment): - For detailed description of the input arguments, please reference at OpenAI's chat completion API. Args: - model (list[str]): list of ID(s) of the model(s) to use + model (list[str]): list of ID(s) of the model(s) to use, e.g. ``["gpt-3.5-turbo", "ft:gpt-3.5-turbo:org_id"]`` messages (list[dict]): A list of messages comprising the conversation so far. Each message is represented as a dictionary with the following keys: ``role: str``, ``content: str``. diff --git a/prompttools/experiment/experiments/openai_completion_experiment.py b/prompttools/experiment/experiments/openai_completion_experiment.py index 3337917b..f04a2e1f 100644 --- a/prompttools/experiment/experiments/openai_completion_experiment.py +++ b/prompttools/experiment/experiments/openai_completion_experiment.py @@ -26,7 +26,7 @@ class OpenAICompletionExperiment(Experiment): - For detailed description of the input arguments, please reference at OpenAI's completion API. Args: - model (list[str]): list of ID(s) of the model(s) to use + model (list[str]): list of ID(s) of the model(s) to use, e.g. ``["gpt-3.5-turbo", "ft:gpt-3.5-turbo:org_id"]`` If you are using Azure OpenAI service, put the models' deployment names here prompt (list[str]): the prompt(s) to generate completions for, encoded as a string, array of strings, From bba353ed93b96004301ed3eddc111445969b7361 Mon Sep 17 00:00:00 2001 From: Kevin Date: Sat, 26 Aug 2023 23:49:52 -0700 Subject: [PATCH 017/182] Updating OpenAI Chat experiment to work with Azure --- .../experiments/openai_chat_experiment.py | 23 +++++++++++++++++++ 1 file changed, 23 insertions(+) diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index f77593e1..21828beb 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -28,6 +28,8 @@ class OpenAIChatExperiment(Experiment): Args: model (list[str]): list of ID(s) of the model(s) to use, e.g. ``["gpt-3.5-turbo", "ft:gpt-3.5-turbo:org_id"]`` + If you are using Azure OpenAI service, put the models' deployment names here + messages (list[dict]): A list of messages comprising the conversation so far. Each message is represented as a dictionary with the following keys: ``role: str``, ``content: str``. @@ -75,6 +77,12 @@ class OpenAIChatExperiment(Experiment): function_call (list[dict]): Defaults to [None]. A dictionary containing the name and arguments of a function that should be called, s generated by the model. + + azure_openai_service_configs (Optional[dict]): + Defaults to ``None``. If it is set, the experiment will use Azure OpenAI Service. The input dict should + contain these 3 keys (but with values based on your use case and configuration): + ``{"AZURE_OPENAI_ENDPOINT": "https://YOUR_RESOURCE_NAME.openai.azure.com/", + "API_TYPE": "azure", "API_VERSION": "2023-05-15"`` """ def __init__( @@ -92,6 +100,7 @@ def __init__( logit_bias: Optional[Dict] = [None], functions: Optional[List[Dict]] = [None], function_call: Optional[List[Dict[str, str]]] = [None], + azure_openai_service_configs: Optional[dict] = None, ): self.completion_fn = openai.ChatCompletion.create if os.getenv("DEBUG", default=False): @@ -126,6 +135,20 @@ def __init__( frequency_penalty=frequency_penalty, logit_bias=logit_bias, ) + + # These parameters aren't supported by `gpt-35-turbo`, we can remove them if they are equal to defaults + # This has no impact on the default case + if self.all_args["logit_bias"] == [None]: + del self.all_args["logit_bias"] + + if azure_openai_service_configs: + openai.api_key = os.environ["AZURE_OPENAI_KEY"] + openai.api_base = azure_openai_service_configs["AZURE_OPENAI_ENDPOINT"] + openai.api_type = azure_openai_service_configs["API_TYPE"] + openai.api_version = azure_openai_service_configs["API_VERSION"] + del self.all_args["model"] + self.all_args["engine"] = model + super().__init__() @staticmethod From d3e8c2a9e7ef474ef70d2aea3f87675b84b5f687 Mon Sep 17 00:00:00 2001 From: Kevin Date: Sat, 26 Aug 2023 23:50:15 -0700 Subject: [PATCH 018/182] Updating Azure experiment example to include Chat completion use case --- ...ynb => AzureOpenAIServiceExperiment.ipynb} | 159 +++++++++++++++++- 1 file changed, 154 insertions(+), 5 deletions(-) rename examples/notebooks/{AzureOpenAICompletionExperiment.ipynb => AzureOpenAIServiceExperiment.ipynb} (54%) diff --git a/examples/notebooks/AzureOpenAICompletionExperiment.ipynb b/examples/notebooks/AzureOpenAIServiceExperiment.ipynb similarity index 54% rename from examples/notebooks/AzureOpenAICompletionExperiment.ipynb rename to examples/notebooks/AzureOpenAIServiceExperiment.ipynb index cea7ef3a..8bd47786 100644 --- a/examples/notebooks/AzureOpenAICompletionExperiment.ipynb +++ b/examples/notebooks/AzureOpenAIServiceExperiment.ipynb @@ -5,7 +5,7 @@ "id": "0a13ddc8", "metadata": {}, "source": [ - "# Azure OpenAI Completion Experiment Example" + "# Azure OpenAI Experiment Example" ] }, { @@ -57,7 +57,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "id": "ed4e635e", "metadata": {}, "outputs": [], @@ -77,12 +77,12 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "beaa70a1", "metadata": {}, "outputs": [], "source": [ - "from prompttools.experiment import OpenAICompletionExperiment" + "from prompttools.experiment import OpenAICompletionExperiment, OpenAIChatExperiment" ] }, { @@ -102,7 +102,17 @@ "- Pass the names of your deployed models into the `models` parameter\n", "- Create a dictionary to specify your Azure OpenAI configs, which include 1) link to your end point, 2) API Type (\"azure\"), and 3) API version\n", "\n", - "Everything else should be the same and you can test over different prompts and parameters as usual." + "Everything else should be the same and you can test over different prompts and parameters as usual.\n", + "\n", + "Note: If you do not have an Azure OpenAI Endpoint and deployment set up, you should first follow Azure's official instruction to do so." + ] + }, + { + "cell_type": "markdown", + "id": "f2e51d6c", + "metadata": {}, + "source": [ + "#### In the first example, we will show you how to use Azure with `OpenAICompletionExperiment`. This is for text completion." ] }, { @@ -232,6 +242,145 @@ "experiment.visualize()" ] }, + { + "cell_type": "markdown", + "id": "9384ab39", + "metadata": {}, + "source": [ + "#### In the second example, we will show you how to use Azure with `OpenAIChatExperiment`. This is for chat completion." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "4cf5897b", + "metadata": {}, + "outputs": [], + "source": [ + "# You can test multiple deployed models here, use their deployment names on Azure\n", + "models = [\"REPLACE_WITH_YOUR_DEPLOYMENT_NAME\", \"DEPLOYMENT2\"]\n", + "messages = [\n", + " [\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", + " {\"role\": \"user\", \"content\": \"Who was the first president?\"},\n", + " ],\n", + " [\n", + " {\"role\": \"system\", \"content\": \"You are a creative copywriter.\"},\n", + " {\"role\": \"user\", \"content\": \"Write a tagline for an ice cream shop.\"},\n", + " ],\n", + "]\n", + "\n", + "azure_openai_service_configs = {\"AZURE_OPENAI_ENDPOINT\": \"https://YOURENDPOINTNAME.openai.azure.com/\",\n", + " \"API_TYPE\": \"azure\",\n", + " \"API_VERSION\": \"2023-05-15\"} # Specify which API version to use\n", + "temperatures = [0.0, 1.0]\n", + "# You can add more parameters that you'd like to test here.\n", + "\n", + "experiment = OpenAIChatExperiment(models, messages, temperature=temperatures,\n", + " azure_openai_service_configs=azure_openai_service_configs)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "6eab3877", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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temperaturemessagesresponselatency
00.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington.0.903520
11.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797.0.815370
20.0[{'role': 'system', 'content': 'You are a creative copywriter.'}, {'role': 'user', 'content': 'Write a tagline for an ice cream shop.'}]\"Scoops of happiness in every cone!\"0.517402
31.0[{'role': 'system', 'content': 'You are a creative copywriter.'}, {'role': 'user', 'content': 'Write a tagline for an ice cream shop.'}]\"Scoops of happiness in every cone.\"0.508131
\n", + "
" + ], + "text/plain": [ + " temperature \\\n", + "0 0.0 \n", + "1 1.0 \n", + "2 0.0 \n", + "3 1.0 \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a creative copywriter.'}, {'role': 'user', 'content': 'Write a tagline for an ice cream shop.'}] \n", + "3 [{'role': 'system', 'content': 'You are a creative copywriter.'}, {'role': 'user', 'content': 'Write a tagline for an ice cream shop.'}] \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. \n", + "1 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "2 \"Scoops of happiness in every cone!\" \n", + "3 \"Scoops of happiness in every cone.\" \n", + "\n", + " latency \n", + "0 0.903520 \n", + "1 0.815370 \n", + "2 0.517402 \n", + "3 0.508131 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "experiment.run()\n", + "experiment.visualize()" + ] + }, { "cell_type": "markdown", "id": "266c13eb", From c4ee218f883fc912b86f87880168a61b19ca7e90 Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 28 Aug 2023 23:59:46 -0700 Subject: [PATCH 019/182] Add image visualization to Replicate experiment --- .../experiment/experiments/replicate_experiment.py | 14 ++++++++++++-- 1 file changed, 12 insertions(+), 2 deletions(-) diff --git a/prompttools/experiment/experiments/replicate_experiment.py b/prompttools/experiment/experiments/replicate_experiment.py index 316b7a05..bd6fe073 100644 --- a/prompttools/experiment/experiments/replicate_experiment.py +++ b/prompttools/experiment/experiments/replicate_experiment.py @@ -74,5 +74,15 @@ def replicate_completion_fn(model_version: str, **kwargs): @staticmethod def _extract_responses(output: dict) -> list[str]: - # TODO: May need to extract image from the URI, perhaps with `cv2.imread` - return output["data"] + return output[0] + + @staticmethod + def _image_tag(url): + return f'' + + def visualize(self, get_all_cols: bool = False, pivot: bool = False, pivot_columns: list = []) -> None: + images = self.full_df["response"].apply(self._image_tag) + self.full_df["images"] = images + self.partial_df["images"] = images + self.partial_df = self.partial_df.drop("response", axis=1) + super().visualize(get_all_cols, pivot, pivot_columns) From 0d639a55d44649985885ab2c163d2b7ebb65ede5 Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 29 Aug 2023 01:37:49 -0700 Subject: [PATCH 020/182] Update mock and visualization functions for Replicate --- .../experiments/replicate_experiment.py | 24 ++++++++++++++---- prompttools/mock/mock.py | 15 ++--------- .../images/19th_century_wombat_gentleman.png | Bin 0 -> 613978 bytes 3 files changed, 21 insertions(+), 18 deletions(-) create mode 100644 prompttools/mock/mock_data/images/19th_century_wombat_gentleman.png diff --git a/prompttools/experiment/experiments/replicate_experiment.py b/prompttools/experiment/experiments/replicate_experiment.py index bd6fe073..636e879e 100644 --- a/prompttools/experiment/experiments/replicate_experiment.py +++ b/prompttools/experiment/experiments/replicate_experiment.py @@ -3,9 +3,15 @@ # # This source code's license can be found in the # LICENSE file in the root directory of this source tree. + +import logging import itertools from prompttools.mock.mock import mock_replicate_stable_diffusion_completion_fn +from IPython.display import display, HTML +from tabulate import tabulate +from ..widgets.utility import is_interactive + import os @@ -81,8 +87,16 @@ def _image_tag(url): return f'' def visualize(self, get_all_cols: bool = False, pivot: bool = False, pivot_columns: list = []) -> None: - images = self.full_df["response"].apply(self._image_tag) - self.full_df["images"] = images - self.partial_df["images"] = images - self.partial_df = self.partial_df.drop("response", axis=1) - super().visualize(get_all_cols, pivot, pivot_columns) + if pivot: + table = self.pivot_table(pivot_columns, get_all_cols=get_all_cols) + else: + table = self.get_table(get_all_cols) + + images = table["response"].apply(self._image_tag) + table["images"] = images + + if is_interactive(): + display(HTML(table.to_html(escape=False, columns=[col for col in table.columns if col != "response"]))) + else: + logging.getLogger().setLevel(logging.INFO) + logging.info(tabulate(table, headers="keys", tablefmt="psql")) diff --git a/prompttools/mock/mock.py b/prompttools/mock/mock.py index bd52595d..d574f234 100644 --- a/prompttools/mock/mock.py +++ b/prompttools/mock/mock.py @@ -8,7 +8,7 @@ These mock functions exist for testing and demo purposes. """ import json -import warnings + try: import cv2 except ImportError: @@ -142,19 +142,8 @@ def mock_stable_diffusion(**kwargs): return cv2.imread("/mock_data/images/Just_a_fruit_basket.png") -# TODO: Consider return URI pointing to local images instead def mock_replicate_stable_diffusion_completion_fn(model_version: str, **kwargs): - json_string = r""" - { - "title": "Output", - "data": [ - "https://mock.com/1.jpeg", - "https://mock.com/2.jpeg", - "https://mock.com/3.jpeg" - ] - } - """ - return json.loads(json_string) + return ["/mock_data/images/19th_century_wombat_gentleman.png"] def mock_qdrant_fn(**kwargs): diff --git a/prompttools/mock/mock_data/images/19th_century_wombat_gentleman.png b/prompttools/mock/mock_data/images/19th_century_wombat_gentleman.png new file mode 100644 index 0000000000000000000000000000000000000000..1d134d8fcd8137d88dd0c51c2094d4e8d94e5547 GIT binary patch literal 613978 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zu@JuFx$lz=Bm&iz=KqES=mocLdm`K_@RIk%Gm@F_2S@<=D)BA9|Cju1UM0dL2_z9+ zVSBCL4maZyX&~Cp;ptq7MgIT&uY36E`E~rAMBp!9uHdiFmhjgvui%F-7VyI-v-tf- z^LTN05?}3)5A3)I^0j$?*B0a=sIHK=HHuf@ehR6-c#CB5 zT}JP3G5Y8Iqm(@(bou?OG@w>K=|#-UhXAd403r%117w_%_|Gv05>YUpfYb8+PqX&F zoKt7a2uO8*83DP@I75Eq`>zau2!JnBravM8j{Bcd{wf2QU9g0XykFH35X_S;Fh4(; zD>av6Fd4-nBmFB!J2v+B!nSJtjOw?X$$(1vza|4y`jg>OjDpJ-=g|?rTIw&7B3kIkiSgZMa=`y6v2xG|8dIz zXd0}h3bss+n7g3Lx{Br-hBek*;yy<3+}CmquO_f78&IDdG|OKJ_RjZd=$xj`Doels zv8T_he_ILu>S(J<^m6ZX4cPUv_T}ru%bZVG;M7ytkO07*qoM6N<$f>ho#!T Date: Tue, 29 Aug 2023 01:38:00 -0700 Subject: [PATCH 021/182] Update with working Replicate example --- examples/notebooks/ReplicateExperiment.ipynb | 90 ++++++-------------- 1 file changed, 24 insertions(+), 66 deletions(-) diff --git a/examples/notebooks/ReplicateExperiment.ipynb b/examples/notebooks/ReplicateExperiment.ipynb index 22e776b6..472b5c5b 100644 --- a/examples/notebooks/ReplicateExperiment.ipynb +++ b/examples/notebooks/ReplicateExperiment.ipynb @@ -51,8 +51,8 @@ "source": [ "import os\n", "\n", - "os.environ[\"DEBUG\"] = \"1\" # Set this to \"\" to call Replicate's API, otherwise a mock function is used\n", - "os.environ[\"REPLICATE_API_TOKEN\"] = \"\"" + "os.environ[\"DEBUG\"] = \"\" # Set this to \"\" to call Replicate's API, otherwise a mock function is used\n", + "os.environ[\"REPLICATE_API_TOKEN\"] = \"r8_AlGz9ofN7OAwmiIcCqhxa6b4Duqgk4T3IyaaI\"" ] }, { @@ -91,98 +91,55 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "id": "347590cf", "metadata": {}, "outputs": [], "source": [ "sd1 = \"stability-ai/stable-diffusion:27b93a2413e7f36cd83da926f3656280b2931564ff050bf9575f1fdf9bcd7478\"\n", "models = [sd1] # You can specify multiple models here\n", - "input_kwargs = {\"prompt\": [\"a 19th century portrait of a wombat gentleman\", \"a 22nd century portrait of a wombat gentleman\"]}\n", + "input_kwargs = {\"prompt\": [\"a 19th century portrait of a wombat gentleman\", \"a 22nd century portrait of a robotic dog\"]}\n", "model_specific_kwargs = {sd1: {}}\n", "\n", "experiment = ReplicateExperiment(models, input_kwargs, model_specific_kwargs)" ] }, - { - "cell_type": "markdown", - "id": "f3fa5450", - "metadata": {}, - "source": [ - "We can then run the experiment to get results." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "1a261583", - "metadata": {}, - "outputs": [], - "source": [ - "experiment.run()" - ] - }, { "cell_type": "code", - "execution_count": 6, - "id": "fc4c4fd2", + "execution_count": 7, + "id": "ca01ff10", "metadata": {}, "outputs": [ { "data": { "text/html": [ - "

\n", - "\n", "\n", " \n", " \n", " \n", " \n", - " \n", " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", - "
inputresponselatencyimages
0{'prompt': 'a 19th century portrait of a wombat gentleman'}[https://mock.com/1.jpeg, https://mock.com/2.jpeg, https://mock.com/3.jpeg]0.0000085.001268
1{'prompt': 'a 22nd century portrait of a wombat gentleman'}[https://mock.com/1.jpeg, https://mock.com/2.jpeg, https://mock.com/3.jpeg]0.000003{'prompt': 'a 22nd century portrait of a robotic dog'}5.024777
\n", - "
" + "" ], "text/plain": [ - " input \\\n", - "0 {'prompt': 'a 19th century portrait of a wombat gentleman'} \n", - "1 {'prompt': 'a 22nd century portrait of a wombat gentleman'} \n", - "\n", - " response \\\n", - "0 [https://mock.com/1.jpeg, https://mock.com/2.jpeg, https://mock.com/3.jpeg] \n", - "1 [https://mock.com/1.jpeg, https://mock.com/2.jpeg, https://mock.com/3.jpeg] \n", - "\n", - " latency \n", - "0 0.000008 \n", - "1 0.000003 " + "" ] }, "metadata": {}, @@ -190,32 +147,33 @@ } ], "source": [ + "experiment.run()\n", "experiment.visualize()" ] }, { "cell_type": "markdown", - "id": "266c13eb", + "id": "f3fa5450", "metadata": {}, "source": [ - "## Evaluate the model response" + "We can then run the experiment to get results." ] }, { "cell_type": "markdown", - "id": "bebb8023", + "id": "266c13eb", "metadata": {}, "source": [ - "This will be updated with structural similarity evaluation. Please don't hesitate to open an issue if you have any suggestions. Stay tuned." + "## Evaluate the model response" ] }, { - "cell_type": "code", - "execution_count": null, - "id": "78c0c9f6", + "cell_type": "markdown", + "id": "bebb8023", "metadata": {}, - "outputs": [], - "source": [] + "source": [ + "This will be updated with structural similarity evaluation. For now, you can reference the example in the Stable Diffusion notebook example. Please don't hesitate to open an issue if you have any suggestions. Stay tuned." + ] } ], "metadata": { From 4b2e0f229fcc03fcb77e0ed6da52d0f304eeb7c2 Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 29 Aug 2023 01:55:11 -0700 Subject: [PATCH 022/182] Fix Replicate kwargs and example --- examples/notebooks/ReplicateExperiment.ipynb | 44 ++++++++++--------- .../experiments/replicate_experiment.py | 13 +++--- 2 files changed, 31 insertions(+), 26 deletions(-) diff --git a/examples/notebooks/ReplicateExperiment.ipynb b/examples/notebooks/ReplicateExperiment.ipynb index 472b5c5b..bd2cad94 100644 --- a/examples/notebooks/ReplicateExperiment.ipynb +++ b/examples/notebooks/ReplicateExperiment.ipynb @@ -51,8 +51,8 @@ "source": [ "import os\n", "\n", - "os.environ[\"DEBUG\"] = \"\" # Set this to \"\" to call Replicate's API, otherwise a mock function is used\n", - "os.environ[\"REPLICATE_API_TOKEN\"] = \"r8_AlGz9ofN7OAwmiIcCqhxa6b4Duqgk4T3IyaaI\"" + "os.environ[\"DEBUG\"] = \"\" # Set this to \"\" to call Replicate's API, \"1\" to call the mock function\n", + "os.environ[\"REPLICATE_API_TOKEN\"] = \"\" # Set your API token here" ] }, { @@ -86,29 +86,39 @@ "id": "3babfe5a", "metadata": {}, "source": [ - "Next, we create our test inputs. We can iterate over models, inputs, and configurations like temperature." + "Next, we create our test inputs. We can iterate over models, inputs, and configurations." ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "id": "347590cf", "metadata": {}, "outputs": [], "source": [ - "sd1 = \"stability-ai/stable-diffusion:27b93a2413e7f36cd83da926f3656280b2931564ff050bf9575f1fdf9bcd7478\"\n", + "sd1 = \"stability-ai/stable-diffusion:ac732df83cea7fff18b8472768c88ad041fa750ff7682a21affe81863cbe77e4\"\n", "models = [sd1] # You can specify multiple models here\n", - "input_kwargs = {\"prompt\": [\"a 19th century portrait of a wombat gentleman\", \"a 22nd century portrait of a robotic dog\"]}\n", + "input_kwargs = {\"prompt\": [\"a 19th century portrait of a wombat gentleman\", \"a 22nd century portrait of a wombat gentleman\"]}\n", "model_specific_kwargs = {sd1: {}}\n", "\n", "experiment = ReplicateExperiment(models, input_kwargs, model_specific_kwargs)" ] }, + { + "cell_type": "markdown", + "id": "e3bbccfa", + "metadata": {}, + "source": [ + "We can then run the experiment to get results." + ] + }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "id": "ca01ff10", - "metadata": {}, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { @@ -126,14 +136,14 @@ " \n", " 0\n", " {'prompt': 'a 19th century portrait of a wombat gentleman'}\n", - " 5.001268\n", - " \n", + " 4.154633\n", + " \n", " \n", " \n", " 1\n", - " {'prompt': 'a 22nd century portrait of a robotic dog'}\n", - " 5.024777\n", - " \n", + " {'prompt': 'a 22nd century portrait of a wombat gentleman'}\n", + " 6.877061\n", + " \n", " \n", " \n", "" @@ -151,14 +161,6 @@ "experiment.visualize()" ] }, - { - "cell_type": "markdown", - "id": "f3fa5450", - "metadata": {}, - "source": [ - "We can then run the experiment to get results." - ] - }, { "cell_type": "markdown", "id": "266c13eb", diff --git a/prompttools/experiment/experiments/replicate_experiment.py b/prompttools/experiment/experiments/replicate_experiment.py index 636e879e..b486d2e5 100644 --- a/prompttools/experiment/experiments/replicate_experiment.py +++ b/prompttools/experiment/experiments/replicate_experiment.py @@ -6,6 +6,7 @@ import logging import itertools +from functools import partial from prompttools.mock.mock import mock_replicate_stable_diffusion_completion_fn from IPython.display import display, HTML @@ -76,23 +77,25 @@ def prepare(self): @staticmethod def replicate_completion_fn(model_version: str, **kwargs): - return replicate.run(model_version, input=kwargs) + return replicate.run(model_version, **kwargs) @staticmethod def _extract_responses(output: dict) -> list[str]: return output[0] @staticmethod - def _image_tag(url): - return f'' + def _image_tag(url, image_width): + return f'' - def visualize(self, get_all_cols: bool = False, pivot: bool = False, pivot_columns: list = []) -> None: + def visualize( + self, get_all_cols: bool = False, pivot: bool = False, pivot_columns: list = [], image_width=300 + ) -> None: if pivot: table = self.pivot_table(pivot_columns, get_all_cols=get_all_cols) else: table = self.get_table(get_all_cols) - images = table["response"].apply(self._image_tag) + images = table["response"].apply(partial(self._image_tag, image_width=image_width)) table["images"] = images if is_interactive(): From 9930fba57dde3d5e3bd61a5548095c7a1e1f8ca1 Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Tue, 29 Aug 2023 10:51:09 -0700 Subject: [PATCH 023/182] 0.34 version --- docs/source/conf.py | 2 +- prompttools/version.py | 4 ++-- pyproject.toml | 2 +- version.txt | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index b8704159..357b0cb1 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -11,7 +11,7 @@ project = "prompttools" copyright = "2023, Hegel AI" author = "Hegel AI" -release = "0.0.33" +release = "0.0.34" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/prompttools/version.py b/prompttools/version.py index f1b7fd0a..ae5e6f47 100644 --- a/prompttools/version.py +++ b/prompttools/version.py @@ -1,2 +1,2 @@ -__version__ = '0.0.33a0+c405e4a' -git_version = 'c405e4ac0b8076f9bfb12cb1812ff953ff09b90e' +__version__ = '0.0.34a0+4b2e0f2' +git_version = '4b2e0f229fcc03fcb77e0ed6da52d0f304eeb7c2' diff --git a/pyproject.toml b/pyproject.toml index 436e5817..8cf278c8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "prompttools" -version = "0.0.33" +version = "0.0.34" authors = [ { name="Hegel AI", email="team@hegel-ai.com" }, ] diff --git a/version.txt b/version.txt index 129b9a8b..a87addd5 100644 --- a/version.txt +++ b/version.txt @@ -1 +1 @@ -0.0.33a0 +0.0.34a0 From 0c68eb15eab9688bb0a25ab5b97f73e8e122796b Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 29 Aug 2023 11:58:53 -0700 Subject: [PATCH 024/182] Renaming and moving Replicate example --- docs/source/experiment.rst | 2 ++ examples/notebooks/README.md | 2 +- .../ReplicateStableDiffusion.ipynb} | 0 3 files changed, 3 insertions(+), 1 deletion(-) rename examples/notebooks/{ReplicateExperiment.ipynb => image_experiments/ReplicateStableDiffusion.ipynb} (100%) diff --git a/docs/source/experiment.rst b/docs/source/experiment.rst index 8718d39d..c18a0806 100644 --- a/docs/source/experiment.rst +++ b/docs/source/experiment.rst @@ -65,3 +65,5 @@ Computer Vision +++++++++++++++++++++++++++++++++++++++++ .. autoclass:: StableDiffusionExperiment + +.. autoclass:: ReplicateExperiment diff --git a/examples/notebooks/README.md b/examples/notebooks/README.md index 979a4216..90ab43e1 100644 --- a/examples/notebooks/README.md +++ b/examples/notebooks/README.md @@ -52,4 +52,4 @@ have something to share. ### Computer Vision - [Stable Diffusion](image_experiments/StableDiffusion.ipynb) -- [Replicate's hosted Stable Diffusion](ReplicateExperiment.ipynb) +- [Replicate's hosted Stable Diffusion](image_experiments/ReplicateStableDiffusion.ipynb) diff --git a/examples/notebooks/ReplicateExperiment.ipynb b/examples/notebooks/image_experiments/ReplicateStableDiffusion.ipynb similarity index 100% rename from examples/notebooks/ReplicateExperiment.ipynb rename to examples/notebooks/image_experiments/ReplicateStableDiffusion.ipynb From 5eda82905720947e0d6a1205b58e39a27752818c Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 30 Aug 2023 23:56:59 -0700 Subject: [PATCH 025/182] Adding Replicate Llama2 Example --- examples/notebooks/ReplicateLlama2.ipynb | 240 +++++++++++++++++++++++ 1 file changed, 240 insertions(+) create mode 100644 examples/notebooks/ReplicateLlama2.ipynb diff --git a/examples/notebooks/ReplicateLlama2.ipynb b/examples/notebooks/ReplicateLlama2.ipynb new file mode 100644 index 00000000..9ef897d9 --- /dev/null +++ b/examples/notebooks/ReplicateLlama2.ipynb @@ -0,0 +1,240 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0a13ddc8", + "metadata": {}, + "source": [ + "# Replicate Llama 2 Example" + ] + }, + { + "cell_type": "markdown", + "id": "623f0cfe", + "metadata": {}, + "source": [ + "## Installations" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "885dabeb", + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install --quiet --force-reinstall prompttools" + ] + }, + { + "cell_type": "markdown", + "id": "2eac35f8", + "metadata": {}, + "source": [ + "## Setup imports and API keys" + ] + }, + { + "cell_type": "markdown", + "id": "5edba05a", + "metadata": {}, + "source": [ + "First, we'll need to set our API keys." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "ed4e635e", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "os.environ[\"REPLICATE_API_TOKEN\"] = \"\" # Set your API token here" + ] + }, + { + "cell_type": "markdown", + "id": "842f1e47", + "metadata": {}, + "source": [ + "Then we'll import the relevant `prompttools` modules to setup our experiment." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "beaa70a1", + "metadata": {}, + "outputs": [], + "source": [ + "from prompttools.experiment import ReplicateExperiment" + ] + }, + { + "cell_type": "markdown", + "id": "622dea9a", + "metadata": {}, + "source": [ + "## Run an experiment" + ] + }, + { + "cell_type": "markdown", + "id": "3babfe5a", + "metadata": {}, + "source": [ + "Next, we create our test inputs. We can iterate over models, inputs, and configurations." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "347590cf", + "metadata": {}, + "outputs": [], + "source": [ + "sd1 = \"replicate/llama-2-70b-chat:2796ee9483c3fd7aa2e171d38f4ca12251a30609463dcfd4cd76703f22e96cdf\"\n", + "models = [sd1] # You can specify multiple models here\n", + "input_kwargs = {\"prompt\": [\"Tell me a story about a 19th century wombat gentleman\",\n", + " \"Tell me a story about a 22nd century wombat gentleman\"]}\n", + "model_specific_kwargs = {sd1: {}}`w\n", + "\n", + "experiment = ReplicateExperiment(models, input_kwargs, model_specific_kwargs)" + ] + }, + { + "cell_type": "markdown", + "id": "e3bbccfa", + "metadata": {}, + "source": [ + "We can then run the experiment to get results." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7f6eac1e", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ca01ff10", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "experiment.run()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "772d0006", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " input \\\n", + "0 {'prompt': 'Tell me a story about a 19th century wombat gentleman'} \n", + "1 {'prompt': 'Tell me a story about a 22nd century wombat gentleman'} \n", + "\n", + " response latency \n", + "0 0.384344 \n", + "1 0.295275 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "experiment.visualize()" + ] + }, + { + "cell_type": "markdown", + "id": "266c13eb", + "metadata": {}, + "source": [ + "## Evaluate the model response" + ] + }, + { + "cell_type": "markdown", + "id": "bebb8023", + "metadata": {}, + "source": [ + "This notebook is meant to showcase how you can use Replicate's API for Llama2. Please reference other notebook for evaluating the model's response." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From f2ea6638e573122ef8fc2f30a64ac8121b18454e Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 31 Aug 2023 23:47:27 -0700 Subject: [PATCH 026/182] Refactor ReplicateExperiment to support both image (StableDiffusion) and text (Llama 2) models --- examples/notebooks/ReplicateLlama2.ipynb | 65 +++++++------------ .../ReplicateStableDiffusion.ipynb | 7 +- .../experiments/replicate_experiment.py | 57 ++++++++++------ 3 files changed, 65 insertions(+), 64 deletions(-) diff --git a/examples/notebooks/ReplicateLlama2.ipynb b/examples/notebooks/ReplicateLlama2.ipynb index 9ef897d9..17eda34d 100644 --- a/examples/notebooks/ReplicateLlama2.ipynb +++ b/examples/notebooks/ReplicateLlama2.ipynb @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "id": "ed4e635e", "metadata": {}, "outputs": [], @@ -64,7 +64,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "beaa70a1", "metadata": {}, "outputs": [], @@ -90,16 +90,16 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "id": "347590cf", "metadata": {}, "outputs": [], "source": [ "sd1 = \"replicate/llama-2-70b-chat:2796ee9483c3fd7aa2e171d38f4ca12251a30609463dcfd4cd76703f22e96cdf\"\n", "models = [sd1] # You can specify multiple models here\n", - "input_kwargs = {\"prompt\": [\"Tell me a story about a 19th century wombat gentleman\",\n", - " \"Tell me a story about a 22nd century wombat gentleman\"]}\n", - "model_specific_kwargs = {sd1: {}}`w\n", + "input_kwargs = {\"prompt\": [\"Tell me a story about a 19th century wombat gentleman. Keep it short.\",\n", + " \"Tell me a story about a 22nd century wombat gentleman. Keep it short.\"]}\n", + "model_specific_kwargs = {sd1: {}}\n", "\n", "experiment = ReplicateExperiment(models, input_kwargs, model_specific_kwargs)" ] @@ -112,30 +112,10 @@ "We can then run the experiment to get results." ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "7f6eac1e", - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "code", "execution_count": 5, - "id": "ca01ff10", - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "experiment.run()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "772d0006", + "id": "53b89b7f", "metadata": {}, "outputs": [ { @@ -167,28 +147,32 @@ " \n", " \n", " 0\n", - " {'prompt': 'Tell me a story about a 19th century wombat gentleman'}\n", - " <generator object Prediction.output_iterator at 0x1583c3f10>\n", - " 0.384344\n", + " {'prompt': 'Tell me a story about a 19th century wombat gentleman. Keep it short.'}\n", + " Once upon a time, in the late 19th century, there was a wombat named Winston who lived in the rolling hills of the English countryside. Winston was a gentleman of refined taste and manners, known for his impeccable dress sense and love of fine tea. Every afternoon, he would don his finest top hat and tails and venture into the nearby village for a spot of tea and a chat with the locals. Despite his somewhat unconventional appearance, Winston was well-liked by all who knew him, and his wit\n", + " 0.978888\n", " \n", " \n", " 1\n", - " {'prompt': 'Tell me a story about a 22nd century wombat gentleman'}\n", - " <generator object Prediction.output_iterator at 0x158488220>\n", - " 0.295275\n", + " {'prompt': 'Tell me a story about a 22nd century wombat gentleman. Keep it short.'}\n", + " Certainly! Here's a short tale about a 22nd century wombat gentleman:\\n\\nIn the year 2105, a wombat named Winston lived in a sprawling underground burrow complex beneath the city of New Sydney. Winston was a gentleman of leisure, spending his days lounging on plush cushions and sipping tea served by his loyal butler-bot. He was known throughout the city for his impeccable taste in fine hats and his ability to recite Shakespearean sonnets with ease.\n", + " 0.355229\n", " \n", " \n", "\n", "" ], "text/plain": [ - " input \\\n", - "0 {'prompt': 'Tell me a story about a 19th century wombat gentleman'} \n", - "1 {'prompt': 'Tell me a story about a 22nd century wombat gentleman'} \n", + " input \\\n", + "0 {'prompt': 'Tell me a story about a 19th century wombat gentleman. Keep it short.'} \n", + "1 {'prompt': 'Tell me a story about a 22nd century wombat gentleman. Keep it short.'} \n", + "\n", + " response \\\n", + "0 Once upon a time, in the late 19th century, there was a wombat named Winston who lived in the rolling hills of the English countryside. Winston was a gentleman of refined taste and manners, known for his impeccable dress sense and love of fine tea. Every afternoon, he would don his finest top hat and tails and venture into the nearby village for a spot of tea and a chat with the locals. Despite his somewhat unconventional appearance, Winston was well-liked by all who knew him, and his wit \n", + "1 Certainly! Here's a short tale about a 22nd century wombat gentleman:\\n\\nIn the year 2105, a wombat named Winston lived in a sprawling underground burrow complex beneath the city of New Sydney. Winston was a gentleman of leisure, spending his days lounging on plush cushions and sipping tea served by his loyal butler-bot. He was known throughout the city for his impeccable taste in fine hats and his ability to recite Shakespearean sonnets with ease. \n", "\n", - " response latency \n", - "0 0.384344 \n", - "1 0.295275 " + " latency \n", + "0 0.978888 \n", + "1 0.355229 " ] }, "metadata": {}, @@ -196,6 +180,7 @@ } ], "source": [ + "experiment.run()\n", "experiment.visualize()" ] }, @@ -212,7 +197,7 @@ "id": "bebb8023", "metadata": {}, "source": [ - "This notebook is meant to showcase how you can use Replicate's API for Llama2. Please reference other notebook for evaluating the model's response." + "This notebook is meant to showcase how you can use Replicate's API for Llama2. Please reference other notebook for evaluating the model's response. The examples from the notebook examples of OpenAI and Anthropic provide good references on how to evaluate LLM responses." ] } ], diff --git a/examples/notebooks/image_experiments/ReplicateStableDiffusion.ipynb b/examples/notebooks/image_experiments/ReplicateStableDiffusion.ipynb index bd2cad94..668035c9 100644 --- a/examples/notebooks/image_experiments/ReplicateStableDiffusion.ipynb +++ b/examples/notebooks/image_experiments/ReplicateStableDiffusion.ipynb @@ -5,7 +5,7 @@ "id": "0a13ddc8", "metadata": {}, "source": [ - "# Replicate Experiment Example" + "# Replicate Stable Diffusion Example" ] }, { @@ -98,10 +98,11 @@ "source": [ "sd1 = \"stability-ai/stable-diffusion:ac732df83cea7fff18b8472768c88ad041fa750ff7682a21affe81863cbe77e4\"\n", "models = [sd1] # You can specify multiple models here\n", - "input_kwargs = {\"prompt\": [\"a 19th century portrait of a wombat gentleman\", \"a 22nd century portrait of a wombat gentleman\"]}\n", + "input_kwargs = {\"prompt\": [\"a 19th century portrait of a wombat gentleman\",\n", + " \"a 22nd century portrait of a wombat gentleman\"]}\n", "model_specific_kwargs = {sd1: {}}\n", "\n", - "experiment = ReplicateExperiment(models, input_kwargs, model_specific_kwargs)" + "experiment = ReplicateExperiment(models, input_kwargs, model_specific_kwargs, use_image_model=True)" ] }, { diff --git a/prompttools/experiment/experiments/replicate_experiment.py b/prompttools/experiment/experiments/replicate_experiment.py index b486d2e5..5ac3a124 100644 --- a/prompttools/experiment/experiments/replicate_experiment.py +++ b/prompttools/experiment/experiments/replicate_experiment.py @@ -28,23 +28,26 @@ class ReplicateExperiment(Experiment): r""" - Perform an experiment with the Replicate API to test different embedding functions or retrieval arguments. - You can query from an existing table, or create a new one (and insert documents into it) during - the experiment. + Perform an experiment with the Replicate API for both image models and LLMs. Note: Set your API token to ``os.environ["REPLICATE_API_TOKEN"]``. + If you are using an image model, set ``use_image_model=True`` as input argument. Args: models (list[str]): "stability-ai/stable-diffusion:27b93a2413e" input_kwargs (dict[str, list]): keyword arguments that can be used across all models - model_specific_kwargs (dict[str, dict[str, list]]): model-specific keyword arguments that will only be used by a specific model (e.g. ``stability-ai/stable-diffusion:27b93a2413`` + use_image_model (bool): Defaults to ``False``, must set to ``True`` to render output from image models. """ def __init__( - self, models: list[str], input_kwargs: dict[str, list], model_specific_kwargs: dict[str, dict[str, list]] = {} + self, + models: list[str], + input_kwargs: dict[str, list], + model_specific_kwargs: dict[str, dict[str, list]] = {}, + use_image_model: bool = False, ): if replicate is None: raise ModuleNotFoundError( @@ -62,6 +65,7 @@ def __init__( self.completion_fn = mock_replicate_stable_diffusion_completion_fn else: self.completion_fn = self.replicate_completion_fn + self.image_experiment = use_image_model super().__init__() def prepare(self): @@ -79,27 +83,38 @@ def prepare(self): def replicate_completion_fn(model_version: str, **kwargs): return replicate.run(model_version, **kwargs) - @staticmethod - def _extract_responses(output: dict) -> list[str]: - return output[0] + def _extract_responses(self, output) -> str: + if self.image_experiment: + return output[0] # Output should be a list of URIs + else: # Assume `output` is a generator of text + res = "" + for item in output: + res += item + return res @staticmethod def _image_tag(url, image_width): + r""" + Create the HTML code to render the image. + """ return f'' def visualize( - self, get_all_cols: bool = False, pivot: bool = False, pivot_columns: list = [], image_width=300 + self, get_all_cols: bool = False, pivot: bool = False, pivot_columns: list = [], image_width: int = 300 ) -> None: - if pivot: - table = self.pivot_table(pivot_columns, get_all_cols=get_all_cols) - else: - table = self.get_table(get_all_cols) - - images = table["response"].apply(partial(self._image_tag, image_width=image_width)) - table["images"] = images - - if is_interactive(): - display(HTML(table.to_html(escape=False, columns=[col for col in table.columns if col != "response"]))) + if not self.image_experiment: + super().visualize(get_all_cols, pivot, pivot_columns) else: - logging.getLogger().setLevel(logging.INFO) - logging.info(tabulate(table, headers="keys", tablefmt="psql")) + if pivot: + table = self.pivot_table(pivot_columns, get_all_cols=get_all_cols) + else: + table = self.get_table(get_all_cols) + + images = table["response"].apply(partial(self._image_tag, image_width=image_width)) + table["images"] = images + + if is_interactive(): + display(HTML(table.to_html(escape=False, columns=[col for col in table.columns if col != "response"]))) + else: + logging.getLogger().setLevel(logging.INFO) + logging.info(tabulate(table, headers="keys", tablefmt="psql")) From 2f13c8f4efe8b386e0a05afe4b9f14fcf0bbb7d2 Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 4 Sep 2023 11:34:33 -0700 Subject: [PATCH 027/182] Expand ReplicateExperiment arguments in table and fix visualization of image experiments --- prompttools/experiment/experiments/replicate_experiment.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/prompttools/experiment/experiments/replicate_experiment.py b/prompttools/experiment/experiments/replicate_experiment.py index 5ac3a124..f99a5ec0 100644 --- a/prompttools/experiment/experiments/replicate_experiment.py +++ b/prompttools/experiment/experiments/replicate_experiment.py @@ -65,8 +65,8 @@ def __init__( self.completion_fn = mock_replicate_stable_diffusion_completion_fn else: self.completion_fn = self.replicate_completion_fn - self.image_experiment = use_image_model super().__init__() + self.image_experiment = use_image_model def prepare(self): for model in self.models: @@ -77,11 +77,12 @@ def prepare(self): model_arg_dict = dict(zip(self.model_specific_kwargs[model].keys(), model_combo)) for k, v in model_arg_dict.items(): arg_dict[k] = v - self.argument_combos.append({"model_version": model, "input": arg_dict}) + arg_dict["model_version"] = model + self.argument_combos.append(arg_dict) @staticmethod def replicate_completion_fn(model_version: str, **kwargs): - return replicate.run(model_version, **kwargs) + return replicate.run(model_version, input=kwargs) def _extract_responses(self, output) -> str: if self.image_experiment: From 1cb0618b4278f4d44bb2d81a608935233906929e Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 4 Sep 2023 11:34:57 -0700 Subject: [PATCH 028/182] Expand ReplicateLlama2 example with temperature and evaluation --- examples/notebooks/ReplicateLlama2.ipynb | 179 ++++++++++++++++++++--- 1 file changed, 160 insertions(+), 19 deletions(-) diff --git a/examples/notebooks/ReplicateLlama2.ipynb b/examples/notebooks/ReplicateLlama2.ipynb index 17eda34d..a8591e46 100644 --- a/examples/notebooks/ReplicateLlama2.ipynb +++ b/examples/notebooks/ReplicateLlama2.ipynb @@ -98,8 +98,9 @@ "sd1 = \"replicate/llama-2-70b-chat:2796ee9483c3fd7aa2e171d38f4ca12251a30609463dcfd4cd76703f22e96cdf\"\n", "models = [sd1] # You can specify multiple models here\n", "input_kwargs = {\"prompt\": [\"Tell me a story about a 19th century wombat gentleman. Keep it short.\",\n", - " \"Tell me a story about a 22nd century wombat gentleman. Keep it short.\"]}\n", - "model_specific_kwargs = {sd1: {}}\n", + " \"Tell me a story about a 22nd century wombat gentleman. Keep it short.\"],\n", + " \"temperature\": [0.1, 1.5]}\n", + "model_specific_kwargs = {sd1: {}} # Optional, if you have any argument specifc to a model, you can pass it in there.\n", "\n", "experiment = ReplicateExperiment(models, input_kwargs, model_specific_kwargs)" ] @@ -114,7 +115,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "id": "53b89b7f", "metadata": {}, "outputs": [ @@ -139,7 +140,8 @@ " \n", " \n", " \n", - " input\n", + " prompt\n", + " temperature\n", " response\n", " latency\n", " \n", @@ -147,32 +149,60 @@ " \n", " \n", " 0\n", - " {'prompt': 'Tell me a story about a 19th century wombat gentleman. Keep it short.'}\n", - " Once upon a time, in the late 19th century, there was a wombat named Winston who lived in the rolling hills of the English countryside. Winston was a gentleman of refined taste and manners, known for his impeccable dress sense and love of fine tea. Every afternoon, he would don his finest top hat and tails and venture into the nearby village for a spot of tea and a chat with the locals. Despite his somewhat unconventional appearance, Winston was well-liked by all who knew him, and his wit\n", - " 0.978888\n", + " Tell me a story about a 19th century wombat gentleman. Keep it short.\n", + " 0.1\n", + " Once upon a time, in the late 19th century, there was a wombat named Winston who lived in the rolling hills of the English countryside. Winston was a gentleman of refined taste and culture, known for his impeccable manners and love of fine tea. Every afternoon, he would don his finest top hat and take a stroll through the village, exchanging pleasantries with the locals and offering them scones and jam from his personal collection. Despite his dignified demeanor, Winston had a mischievous streak\n", + " 0.538249\n", " \n", " \n", " 1\n", - " {'prompt': 'Tell me a story about a 22nd century wombat gentleman. Keep it short.'}\n", - " Certainly! Here's a short tale about a 22nd century wombat gentleman:\\n\\nIn the year 2105, a wombat named Winston lived in a sprawling underground burrow complex beneath the city of New Sydney. Winston was a gentleman of leisure, spending his days lounging on plush cushions and sipping tea served by his loyal butler-bot. He was known throughout the city for his impeccable taste in fine hats and his ability to recite Shakespearean sonnets with ease.\n", - " 0.355229\n", + " Tell me a story about a 19th century wombat gentleman. Keep it short.\n", + " 1.5\n", + " Once upon a time, in the late 19th century, there was a wombat named Mr. Whiskers who lived in the rolling hills of the English countryside. Mr. Whiskers was a gentleman of great distinction and refinement, known for his impeccable manners and love of fine tea. He spent his days lounging in the sun, enjoying picnics with his friends, and engaging in spirited debates about the finer points of Victorian literature. Despite his leisurely lifestyle, Mr. Whiskers was a\n", + " 0.267989\n", + " \n", + " \n", + " 2\n", + " Tell me a story about a 22nd century wombat gentleman. Keep it short.\n", + " 0.1\n", + " Certainly! Here's a short tale about a 22nd century wombat gentleman:\\n\\nIn the year 2105, a wombat named Winston lived in a sprawling underground burrow complex beneath the city of New Sydney. Winston was a gentleman of leisure, spending his days lounging on plush cushions and sipping tea served by his loyal butler-bot. He was known throughout the city for his impeccable taste in fine hats and his extensive collection of rare, vintage cigars.\\n\n", + " 0.279196\n", + " \n", + " \n", + " 3\n", + " Tell me a story about a 22nd century wombat gentleman. Keep it short.\n", + " 1.5\n", + " Certainly! Here's a short tale about a 22nd century wombat gentleman:\\n\\nIn the year 2105, a wombat named Winston lived in a futuristic underground burrow. He was a gentleman of leisure, spending his days lounging on expensive virtual reality furniture and sipping champagne.\\n\\nOne day, Winston received an invitation to a high-society gathering hosted by a wealthy group of aliens. Eager to make a good impression, he donned his finest tux\n", + " 0.270601\n", " \n", " \n", "\n", "" ], "text/plain": [ - " input \\\n", - "0 {'prompt': 'Tell me a story about a 19th century wombat gentleman. Keep it short.'} \n", - "1 {'prompt': 'Tell me a story about a 22nd century wombat gentleman. Keep it short.'} \n", + " prompt \\\n", + "0 Tell me a story about a 19th century wombat gentleman. Keep it short. \n", + "1 Tell me a story about a 19th century wombat gentleman. Keep it short. \n", + "2 Tell me a story about a 22nd century wombat gentleman. Keep it short. \n", + "3 Tell me a story about a 22nd century wombat gentleman. Keep it short. \n", + "\n", + " temperature \\\n", + "0 0.1 \n", + "1 1.5 \n", + "2 0.1 \n", + "3 1.5 \n", "\n", - " response \\\n", - "0 Once upon a time, in the late 19th century, there was a wombat named Winston who lived in the rolling hills of the English countryside. Winston was a gentleman of refined taste and manners, known for his impeccable dress sense and love of fine tea. Every afternoon, he would don his finest top hat and tails and venture into the nearby village for a spot of tea and a chat with the locals. Despite his somewhat unconventional appearance, Winston was well-liked by all who knew him, and his wit \n", - "1 Certainly! Here's a short tale about a 22nd century wombat gentleman:\\n\\nIn the year 2105, a wombat named Winston lived in a sprawling underground burrow complex beneath the city of New Sydney. Winston was a gentleman of leisure, spending his days lounging on plush cushions and sipping tea served by his loyal butler-bot. He was known throughout the city for his impeccable taste in fine hats and his ability to recite Shakespearean sonnets with ease. \n", + " response \\\n", + "0 Once upon a time, in the late 19th century, there was a wombat named Winston who lived in the rolling hills of the English countryside. Winston was a gentleman of refined taste and culture, known for his impeccable manners and love of fine tea. Every afternoon, he would don his finest top hat and take a stroll through the village, exchanging pleasantries with the locals and offering them scones and jam from his personal collection. Despite his dignified demeanor, Winston had a mischievous streak \n", + "1 Once upon a time, in the late 19th century, there was a wombat named Mr. Whiskers who lived in the rolling hills of the English countryside. Mr. Whiskers was a gentleman of great distinction and refinement, known for his impeccable manners and love of fine tea. He spent his days lounging in the sun, enjoying picnics with his friends, and engaging in spirited debates about the finer points of Victorian literature. Despite his leisurely lifestyle, Mr. Whiskers was a \n", + "2 Certainly! Here's a short tale about a 22nd century wombat gentleman:\\n\\nIn the year 2105, a wombat named Winston lived in a sprawling underground burrow complex beneath the city of New Sydney. Winston was a gentleman of leisure, spending his days lounging on plush cushions and sipping tea served by his loyal butler-bot. He was known throughout the city for his impeccable taste in fine hats and his extensive collection of rare, vintage cigars.\\n \n", + "3 Certainly! Here's a short tale about a 22nd century wombat gentleman:\\n\\nIn the year 2105, a wombat named Winston lived in a futuristic underground burrow. He was a gentleman of leisure, spending his days lounging on expensive virtual reality furniture and sipping champagne.\\n\\nOne day, Winston received an invitation to a high-society gathering hosted by a wealthy group of aliens. Eager to make a good impression, he donned his finest tux \n", "\n", " latency \n", - "0 0.978888 \n", - "1 0.355229 " + "0 0.538249 \n", + "1 0.267989 \n", + "2 0.279196 \n", + "3 0.270601 " ] }, "metadata": {}, @@ -197,7 +227,118 @@ "id": "bebb8023", "metadata": {}, "source": [ - "This notebook is meant to showcase how you can use Replicate's API for Llama2. Please reference other notebook for evaluating the model's response. The examples from the notebook examples of OpenAI and Anthropic provide good references on how to evaluate LLM responses." + "This notebook is meant to showcase how you can use Replicate's API for Llama2. In this case, we will use a simple evalution - compute semantic distance to check if the model's response is similar to our expected output.\n", + "\n", + "Please reference other notebooks for various methods to evaluate a model's response. The examples include structual evaluation (e.g. for Python, JSON) and auto-evaluations (using another LLM)." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "bdc76ecc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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prompttemperatureresponselatencysimilar_to_expected
0Tell me a story about a 19th century wombat gentleman. Keep it short.0.1Once upon a time, in the late 19th century, there was a wombat named Winston who lived in the rolling hills of the English countryside. Winston was a gentleman of refined taste and culture, known for his impeccable manners and love of fine tea. Every afternoon, he would don his finest top hat and take a stroll through the village, exchanging pleasantries with the locals and offering them scones and jam from his personal collection. Despite his dignified demeanor, Winston had a mischievous streak0.5382490.566713
1Tell me a story about a 19th century wombat gentleman. Keep it short.1.5Once upon a time, in the late 19th century, there was a wombat named Mr. Whiskers who lived in the rolling hills of the English countryside. Mr. Whiskers was a gentleman of great distinction and refinement, known for his impeccable manners and love of fine tea. He spent his days lounging in the sun, enjoying picnics with his friends, and engaging in spirited debates about the finer points of Victorian literature. Despite his leisurely lifestyle, Mr. Whiskers was a0.2679890.601912
2Tell me a story about a 22nd century wombat gentleman. Keep it short.0.1Certainly! Here's a short tale about a 22nd century wombat gentleman:\\n\\nIn the year 2105, a wombat named Winston lived in a sprawling underground burrow complex beneath the city of New Sydney. Winston was a gentleman of leisure, spending his days lounging on plush cushions and sipping tea served by his loyal butler-bot. He was known throughout the city for his impeccable taste in fine hats and his extensive collection of rare, vintage cigars.\\n0.2791960.688690
3Tell me a story about a 22nd century wombat gentleman. Keep it short.1.5Certainly! Here's a short tale about a 22nd century wombat gentleman:\\n\\nIn the year 2105, a wombat named Winston lived in a futuristic underground burrow. He was a gentleman of leisure, spending his days lounging on expensive virtual reality furniture and sipping champagne.\\n\\nOne day, Winston received an invitation to a high-society gathering hosted by a wealthy group of aliens. Eager to make a good impression, he donned his finest tux0.2706010.639222
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" + ], + "text/plain": [ + " prompt \\\n", + "0 Tell me a story about a 19th century wombat gentleman. Keep it short. \n", + "1 Tell me a story about a 19th century wombat gentleman. Keep it short. \n", + "2 Tell me a story about a 22nd century wombat gentleman. Keep it short. \n", + "3 Tell me a story about a 22nd century wombat gentleman. Keep it short. \n", + "\n", + " temperature \\\n", + "0 0.1 \n", + "1 1.5 \n", + "2 0.1 \n", + "3 1.5 \n", + "\n", + " response \\\n", + "0 Once upon a time, in the late 19th century, there was a wombat named Winston who lived in the rolling hills of the English countryside. Winston was a gentleman of refined taste and culture, known for his impeccable manners and love of fine tea. Every afternoon, he would don his finest top hat and take a stroll through the village, exchanging pleasantries with the locals and offering them scones and jam from his personal collection. Despite his dignified demeanor, Winston had a mischievous streak \n", + "1 Once upon a time, in the late 19th century, there was a wombat named Mr. Whiskers who lived in the rolling hills of the English countryside. Mr. Whiskers was a gentleman of great distinction and refinement, known for his impeccable manners and love of fine tea. He spent his days lounging in the sun, enjoying picnics with his friends, and engaging in spirited debates about the finer points of Victorian literature. Despite his leisurely lifestyle, Mr. Whiskers was a \n", + "2 Certainly! Here's a short tale about a 22nd century wombat gentleman:\\n\\nIn the year 2105, a wombat named Winston lived in a sprawling underground burrow complex beneath the city of New Sydney. Winston was a gentleman of leisure, spending his days lounging on plush cushions and sipping tea served by his loyal butler-bot. He was known throughout the city for his impeccable taste in fine hats and his extensive collection of rare, vintage cigars.\\n \n", + "3 Certainly! Here's a short tale about a 22nd century wombat gentleman:\\n\\nIn the year 2105, a wombat named Winston lived in a futuristic underground burrow. He was a gentleman of leisure, spending his days lounging on expensive virtual reality furniture and sipping champagne.\\n\\nOne day, Winston received an invitation to a high-society gathering hosted by a wealthy group of aliens. Eager to make a good impression, he donned his finest tux \n", + "\n", + " latency similar_to_expected \n", + "0 0.538249 0.566713 \n", + "1 0.267989 0.601912 \n", + "2 0.279196 0.688690 \n", + "3 0.270601 0.639222 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from prompttools.utils import semantic_similarity\n", + "\n", + "expected_responses = [\"wombat gentleman in 19th century\"] * 2 + [\"wombat gentleman in 22nd century\"] * 2\n", + "experiment.evaluate(\"similar_to_expected\", semantic_similarity, expected=expected_responses)\n", + "experiment.visualize()" ] } ], From 46ce1abd43477bbfc6b612060181ad33730d6b41 Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 4 Sep 2023 11:35:28 -0700 Subject: [PATCH 029/182] Expand ReplicateStableDiffusion example with denoising step --- .../ReplicateStableDiffusion.ipynb | 46 +++++++++++++------ 1 file changed, 33 insertions(+), 13 deletions(-) diff --git a/examples/notebooks/image_experiments/ReplicateStableDiffusion.ipynb b/examples/notebooks/image_experiments/ReplicateStableDiffusion.ipynb index 668035c9..fb58450b 100644 --- a/examples/notebooks/image_experiments/ReplicateStableDiffusion.ipynb +++ b/examples/notebooks/image_experiments/ReplicateStableDiffusion.ipynb @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "id": "ed4e635e", "metadata": {}, "outputs": [], @@ -65,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "beaa70a1", "metadata": {}, "outputs": [], @@ -91,7 +91,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "id": "347590cf", "metadata": {}, "outputs": [], @@ -99,7 +99,8 @@ "sd1 = \"stability-ai/stable-diffusion:ac732df83cea7fff18b8472768c88ad041fa750ff7682a21affe81863cbe77e4\"\n", "models = [sd1] # You can specify multiple models here\n", "input_kwargs = {\"prompt\": [\"a 19th century portrait of a wombat gentleman\",\n", - " \"a 22nd century portrait of a wombat gentleman\"]}\n", + " \"a 22nd century portrait of a wombat gentleman\"],\n", + " \"num_inference_steps\": [10, 60]}\n", "model_specific_kwargs = {sd1: {}}\n", "\n", "experiment = ReplicateExperiment(models, input_kwargs, model_specific_kwargs, use_image_model=True)" @@ -115,7 +116,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "id": "ca01ff10", "metadata": { "scrolled": true @@ -128,7 +129,8 @@ " \n", " \n", " \n", - " input\n", + " prompt\n", + " num_inference_steps\n", " latency\n", " images\n", " \n", @@ -136,15 +138,31 @@ " \n", " \n", " 0\n", - " {'prompt': 'a 19th century portrait of a wombat gentleman'}\n", - " 4.154633\n", - " \n", + " a 19th century portrait of a wombat gentleman\n", + " 10\n", + " 3.172597\n", + " \n", " \n", " \n", " 1\n", - " {'prompt': 'a 22nd century portrait of a wombat gentleman'}\n", - " 6.877061\n", - " \n", + " a 19th century portrait of a wombat gentleman\n", + " 60\n", + " 5.102608\n", + " \n", + " \n", + " \n", + " 2\n", + " a 22nd century portrait of a wombat gentleman\n", + " 10\n", + " 4.341799\n", + " \n", + " \n", + " \n", + " 3\n", + " a 22nd century portrait of a wombat gentleman\n", + " 60\n", + " 4.258093\n", + " \n", " \n", " \n", "" @@ -175,7 +193,9 @@ "id": "bebb8023", "metadata": {}, "source": [ - "This will be updated with structural similarity evaluation. For now, you can reference the example in the Stable Diffusion notebook example. Please don't hesitate to open an issue if you have any suggestions. Stay tuned." + "The Stable Diffusion notebook example povides an example of structural similarity evaluation. Please reference that example if you are interested automated evaluation of images.\n", + "\n", + "Please don't hesitate to open an issue or PR if you have any other suggestions evaluation of image models!" ] } ], From 34c3df9f9bcf5abf96801483c0cdb3acc252d606 Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 4 Sep 2023 11:55:31 -0700 Subject: [PATCH 030/182] Moving VectorDB and Framework examples into subdirectories --- README.md | 2 +- examples/notebooks/README.md | 14 +++++++------- .../LangChainRouterChainExperiment.ipynb | 0 .../LangChainSequentialChainExperiment.ipynb | 0 .../{ => frameworks}/MindsDBExperiment.ipynb | 0 .../ChromaDBExperiment.ipynb | 0 .../LanceDBExperiment.ipynb | 0 .../QdrantExperiment.ipynb | 0 .../WeaviateExperiment.ipynb | 0 9 files changed, 8 insertions(+), 8 deletions(-) rename examples/notebooks/{ => frameworks}/LangChainRouterChainExperiment.ipynb (100%) rename examples/notebooks/{ => frameworks}/LangChainSequentialChainExperiment.ipynb (100%) rename examples/notebooks/{ => frameworks}/MindsDBExperiment.ipynb (100%) rename examples/notebooks/{ => vectordb_experiments}/ChromaDBExperiment.ipynb (100%) rename examples/notebooks/{ => vectordb_experiments}/LanceDBExperiment.ipynb (100%) rename examples/notebooks/{ => vectordb_experiments}/QdrantExperiment.ipynb (100%) rename examples/notebooks/{ => vectordb_experiments}/WeaviateExperiment.ipynb (100%) diff --git a/README.md b/README.md index 3a81db42..ce41c2ec 100644 --- a/README.md +++ b/README.md @@ -98,7 +98,7 @@ LLMs - Anthropic - **Supported** - Google PaLM - **Supported** - Azure OpenAI Service - **Supported** -- Replicate - _In Progress_ +- Replicate - **Supported** - Ollama - _In Progress_ Vector Databases and Data Utility diff --git a/examples/notebooks/README.md b/examples/notebooks/README.md index 90ab43e1..b7033ea9 100644 --- a/examples/notebooks/README.md +++ b/examples/notebooks/README.md @@ -36,19 +36,19 @@ have something to share. ### Vector Databases -- [ChromaDB Experiment](ChromaDBExperiment.ipynb) demonstrates how to experiment with different +- [ChromaDB Experiment](vectordb_experiments/ChromaDBExperiment.ipynb) demonstrates how to experiment with different embedding functions and query parameters of `Chroma`. The example evaluates the results by computing the ranking correlation against an expected output. -- [Weaviate Experiment](WeaviateExperiment.ipynb) shows how you can easily try different vectorizers, configuration, +- [Weaviate Experiment](vectordb_experiments/WeaviateExperiment.ipynb) shows how you can easily try different vectorizers, configuration, and query functions, and compare the final results. -- [LanceDB Experiment](LanceDBExperiment.ipynb) allows you to try different embedding functions, and query methods. -- [Qdrant Experiment](QdrantExperiment.ipynb) explores different ways to query Qdrant, including with vectors. +- [LanceDB Experiment](vectordb_experiments/LanceDBExperiment.ipynb) allows you to try different embedding functions, and query methods. +- [Qdrant Experiment](vectordb_experiments/QdrantExperiment.ipynb) explores different ways to query Qdrant, including with vectors. ### Frameworks -- [LangChain Sequential Chain Experiment](LangChainSequentialChainExperiment.ipynb) -- [LangChain Router Chain Experiment](LangChainRouterChainExperiment.ipynb) -- [MindsDB Experiment](MindsDBExperiment.ipynb) +- [LangChain Sequential Chain Experiment](frameworks/LangChainSequentialChainExperiment.ipynb) +- [LangChain Router Chain Experiment](frameworks/LangChainRouterChainExperiment.ipynb) +- [MindsDB Experiment](frameworks/MindsDBExperiment.ipynb) ### Computer Vision - [Stable Diffusion](image_experiments/StableDiffusion.ipynb) diff --git a/examples/notebooks/LangChainRouterChainExperiment.ipynb b/examples/notebooks/frameworks/LangChainRouterChainExperiment.ipynb similarity index 100% rename from examples/notebooks/LangChainRouterChainExperiment.ipynb rename to examples/notebooks/frameworks/LangChainRouterChainExperiment.ipynb diff --git a/examples/notebooks/LangChainSequentialChainExperiment.ipynb b/examples/notebooks/frameworks/LangChainSequentialChainExperiment.ipynb similarity index 100% rename from examples/notebooks/LangChainSequentialChainExperiment.ipynb rename to examples/notebooks/frameworks/LangChainSequentialChainExperiment.ipynb diff --git a/examples/notebooks/MindsDBExperiment.ipynb b/examples/notebooks/frameworks/MindsDBExperiment.ipynb similarity index 100% rename from examples/notebooks/MindsDBExperiment.ipynb rename to examples/notebooks/frameworks/MindsDBExperiment.ipynb diff --git a/examples/notebooks/ChromaDBExperiment.ipynb b/examples/notebooks/vectordb_experiments/ChromaDBExperiment.ipynb similarity index 100% rename from examples/notebooks/ChromaDBExperiment.ipynb rename to examples/notebooks/vectordb_experiments/ChromaDBExperiment.ipynb diff --git a/examples/notebooks/LanceDBExperiment.ipynb b/examples/notebooks/vectordb_experiments/LanceDBExperiment.ipynb similarity index 100% rename from examples/notebooks/LanceDBExperiment.ipynb rename to examples/notebooks/vectordb_experiments/LanceDBExperiment.ipynb diff --git a/examples/notebooks/QdrantExperiment.ipynb b/examples/notebooks/vectordb_experiments/QdrantExperiment.ipynb similarity index 100% rename from examples/notebooks/QdrantExperiment.ipynb rename to examples/notebooks/vectordb_experiments/QdrantExperiment.ipynb diff --git a/examples/notebooks/WeaviateExperiment.ipynb b/examples/notebooks/vectordb_experiments/WeaviateExperiment.ipynb similarity index 100% rename from examples/notebooks/WeaviateExperiment.ipynb rename to examples/notebooks/vectordb_experiments/WeaviateExperiment.ipynb From 92d3f2af1a40fa25310b99a4c48898d93627e8bf Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 5 Sep 2023 23:55:56 -0700 Subject: [PATCH 031/182] Clean up WeaviateExample notebook --- .../WeaviateExperiment.ipynb | 235 ++++++++++-------- 1 file changed, 128 insertions(+), 107 deletions(-) diff --git a/examples/notebooks/vectordb_experiments/WeaviateExperiment.ipynb b/examples/notebooks/vectordb_experiments/WeaviateExperiment.ipynb index 69edd25e..33bc0c8c 100644 --- a/examples/notebooks/vectordb_experiments/WeaviateExperiment.ipynb +++ b/examples/notebooks/vectordb_experiments/WeaviateExperiment.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "0a13ddc8", + "id": "2d3afcb7", "metadata": {}, "source": [ "# Weaviate Experiment Example" @@ -66,30 +66,41 @@ { "cell_type": "code", "execution_count": 3, + "id": "ded9af28", + "metadata": {}, + "outputs": [], + "source": [ + "# Optional helper function to have us clear data in this example\n", + "def _clear_existing_class(class_name: str):\n", + " # Clearing existing object and class\n", + " try:\n", + " client.batch.delete_objects(class_name=class_name, where={})\n", + " except Exception:\n", + " pass\n", + " client.schema.delete_class(class_name)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, "id": "4ef6a4a9", "metadata": {}, "outputs": [], "source": [ "# Can skip if you already have data in Weaviate\n", - "\n", "# Create class object\n", "class_name = \"Question\"\n", "\n", - "# Clearing existing\n", - "try:\n", - " client.batch.delete_objects(class_name=class_name, where={})\n", - "except Exception:\n", - " pass\n", - "\n", - "try:\n", - " client.schema.delete_class(class_name)\n", - "except Exception:\n", - " pass\n", + "_clear_existing_class(class_name)\n", "\n", "class_obj = {\n", " \"class\": class_name,\n", " \"vectorizer\": \"text2vec-contextionary\",\n", - " \"moduleConfig\": {\"text2vec-contextionary\": {\"vectorizeClassName\": \"false\"}},\n", + " \"moduleConfig\": {\n", + " \"text2vec-contextionary\": {\n", + " \"vectorizeClassName\": \"false\"\n", + " }\n", + " },\n", "}\n", "\n", "client.schema.create_class(class_obj)" @@ -105,7 +116,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "id": "b93c260e", "metadata": {}, "outputs": [ @@ -126,31 +137,35 @@ ], "source": [ "# Can skip if you already have data in Weaviate\n", - "data = [\n", - " {\"Category\": \"science\", \"Question\": \"How many hydrogens are in H2O?\", \"Answer\": \"2\"},\n", - " {\"Category\": \"math\", \"Question\": \"2+2\", \"Answer\": \"4\"},\n", - " {\"Category\": \"math\", \"Question\": \"Is 13 a prime number?\", \"Answer\": \"Yes\"},\n", - " {\"Category\": \"geography\", \"Question\": \"Which continent is India in?\", \"Answer\": \"Asia\"},\n", - " {\"Category\": \"geography\", \"Question\": \"Which continent is China in?\", \"Answer\": \"Asia\"},\n", - " {\"Category\": \"geography\", \"Question\": \"Which continent is USA in?\", \"Answer\": \"North America\"},\n", - " {\"Category\": \"geography\", \"Question\": \"Which is the largest state in the USA?\", \"Answer\": \"Alaska\"},\n", - " {\"Category\": \"geography\", \"Question\": \"Which is the most populous state in the USA?\", \"Answer\": \"California\"},\n", - "]\n", + "data = [{'Category': 'science', 'Question': 'How many hydrogens are in H2O?', 'Answer': '2'},\n", + " {'Category': 'math', 'Question': '2+2', 'Answer': '4'},\n", + " {'Category': 'math', 'Question': 'Is 13 a prime number?', 'Answer': 'Yes'},\n", + " {'Category': 'geography', 'Question': 'Which continent is India in?', 'Answer': 'Asia'},\n", + " {'Category': 'geography', 'Question': 'Which continent is China in?', 'Answer': 'Asia'},\n", + " {'Category': 'geography', 'Question': 'Which continent is USA in?', 'Answer': 'North America'},\n", + " {'Category': 'geography', 'Question': 'Which is the largest state in the USA?', 'Answer': 'Alaska'},\n", + " {'Category': 'geography', 'Question': 'Which is the most populous state in the USA?', 'Answer': 'California'},]\n", "\n", - "with client.batch(batch_size=100) as batch:\n", - " for i, d in enumerate(data):\n", - " print(f\"importing question: {i+1}\")\n", "\n", - " properties = {\n", - " \"answer\": d[\"Answer\"],\n", - " \"question\": d[\"Question\"],\n", - " \"category\": d[\"Category\"],\n", - " }\n", + "def _insert_data(data, client):\n", + " with client.batch(\n", + " batch_size=100\n", + " ) as batch:\n", + " for i, d in enumerate(data):\n", + " print(f\"importing question: {i+1}\")\n", "\n", - " client.batch.add_data_object(\n", - " properties,\n", - " \"Question\",\n", - " )" + " properties = {\n", + " \"answer\": d[\"Answer\"],\n", + " \"question\": d[\"Question\"],\n", + " \"category\": d[\"Category\"],\n", + " }\n", + "\n", + " client.batch.add_data_object(\n", + " properties,\n", + " \"Question\",\n", + " )\n", + "\n", + "_insert_data(data, client)" ] }, { @@ -169,7 +184,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "id": "cde49886", "metadata": {}, "outputs": [], @@ -191,13 +206,15 @@ " text_query: str,\n", "):\n", " near_text_search_operator = {\n", - " \"concepts\": [text_query],\n", - " \"distance\": 0.6,\n", - " \"moveAwayFrom\": {\"concepts\": [\"where geography \"], \"force\": 0.45},\n", + " \"concepts\": [text_query],\n", + " \"distance\": 0.6,\n", + " \"moveAwayFrom\": {\n", + " \"concepts\": [\"where geography \"],\n", + " \"force\": 0.45\n", + " },\n", " }\n", " return client.query.get(class_name, property_names).with_near_text(near_text_search_operator).with_limit(limit=3)\n", "\n", - "\n", "# A dictionary of the name of query builder and the corresponding callable function.\n", "query_builders = {\"default\": default_query_builder, \"custom\": custom_query_builder}" ] @@ -212,7 +229,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "id": "9db6b381", "metadata": {}, "outputs": [ @@ -232,19 +249,16 @@ "source": [ "from prompttools.experiment import WeaviateExperiment\n", "\n", - "use_existing_data = True\n", "property_names = [\"category\", \"question\", \"answer\"] # Specify what property you would like to query\n", "text_queries = [\"Hydrogen\", \"USA\"] # Your text queries that will be passed in to query builder to create query\n", "\n", "\n", - "experiment = WeaviateExperiment(\n", - " client=client,\n", - " class_name=class_name,\n", - " use_existing_data=use_existing_data,\n", - " property_names=property_names,\n", - " text_queries=text_queries,\n", - " query_builders=query_builders,\n", - ")\n", + "experiment = WeaviateExperiment(client=client,\n", + " class_name=class_name,\n", + " use_existing_data=True,\n", + " property_names=property_names,\n", + " text_queries=text_queries,\n", + " query_builders=query_builders)\n", "experiment.run()" ] }, @@ -258,7 +272,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "id": "b1f4acde", "metadata": {}, "outputs": [ @@ -286,6 +300,7 @@ " text_query\n", " query_builder_name\n", " top objs\n", + " latency\n", " \n", " \n", " \n", @@ -294,24 +309,28 @@ " Hydrogen\n", " default\n", " [{'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'category': 'geography', 'question': 'Which continent is India in?'}]\n", + " 0.008386\n", " \n", " \n", " 1\n", " USA\n", " default\n", " [{'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}]\n", + " 0.004517\n", " \n", " \n", " 2\n", " Hydrogen\n", " custom\n", " [{'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}]\n", + " 0.007075\n", " \n", " \n", " 3\n", " USA\n", " custom\n", " [{'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}]\n", + " 0.005827\n", " \n", " \n", "\n", @@ -324,11 +343,17 @@ "2 Hydrogen custom \n", "3 USA custom \n", "\n", - " top objs \n", - "0 [{'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'category': 'geography', 'question': 'Which continent is India in?'}] \n", - "1 [{'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}] \n", - "2 [{'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}] \n", - "3 [{'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}] " + " top objs \\\n", + "0 [{'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'category': 'geography', 'question': 'Which continent is India in?'}] \n", + "1 [{'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}] \n", + "2 [{'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}] \n", + "3 [{'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}] \n", + "\n", + " latency \n", + "0 0.008386 \n", + "1 0.004517 \n", + "2 0.007075 \n", + "3 0.005827 " ] }, "metadata": {}, @@ -355,18 +380,17 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "id": "6b39dbf4", "metadata": {}, "outputs": [], "source": [ "vectorizers_and_moduleConfigs = [\n", - " (\n", - " \"text2vec-contextionary\",\n", - " { # This runs on CPU, but you can swap to `huggingface` or `openai` as well\n", - " \"text2vec-contextionary\": {\"vectorizeClassName\": \"false\"}\n", - " },\n", - " ),\n", + " (\"text2vec-contextionary\", { # This runs on CPU, but you can swap to `huggingface` or `openai` as well\n", + " \"text2vec-contextionary\": {\n", + " \"vectorizeClassName\": \"false\"\n", + " }\n", + " }),\n", "]" ] }, @@ -380,25 +404,25 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "id": "8d44c491", "metadata": {}, "outputs": [], "source": [ "property_definitions = [\n", - " {\n", - " \"name\": \"category\",\n", - " \"dataType\": [\"text\"],\n", - " },\n", - " {\n", - " \"name\": \"question\",\n", - " \"dataType\": [\"text\"],\n", - " },\n", - " {\n", - " \"name\": \"answer\",\n", - " \"dataType\": [\"text\"],\n", - " },\n", - "]" + " {\n", + " 'name': 'category',\n", + " 'dataType': ['text'],\n", + " },\n", + " {\n", + " 'name': 'question',\n", + " 'dataType': ['text'],\n", + " },\n", + " {\n", + " 'name': 'answer',\n", + " 'dataType': ['text'],\n", + " },\n", + " ]\n" ] }, { @@ -411,7 +435,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "id": "45af37d1", "metadata": {}, "outputs": [], @@ -421,7 +445,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "id": "145b2683", "metadata": {}, "outputs": [], @@ -429,46 +453,36 @@ "class_name = \"Question\"\n", "\n", "# Clearing existing class object\n", - "try:\n", - " client.batch.delete_objects(class_name=class_name, where={})\n", - "except Exception:\n", - " pass\n", - "\n", - "try:\n", - " client.schema.delete_class(class_name)\n", - "except Exception:\n", - " pass" + "_clear_existing_class(class_name)" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "id": "242334a8", "metadata": {}, "outputs": [], "source": [ - "use_existing_data = False\n", "property_names = [\"question\", \"answer\"] # Specify what property you would like to query\n", "text_queries = [\"continent Asia\"] # Your text queries that will be passed in to query builder to create query\n", "\n", "\n", - "experiment = WeaviateExperiment(\n", - " client=client,\n", - " class_name=class_name,\n", - " use_existing_data=use_existing_data,\n", - " property_names=property_names,\n", - " text_queries=text_queries,\n", - " vectorizers_and_moduleConfigs=vectorizers_and_moduleConfigs,\n", - " property_definitions=property_definitions,\n", - " data_objects=data,\n", - " distance_metrics=distance_metrics,\n", - ")\n", + "experiment = WeaviateExperiment(client=client,\n", + " class_name=class_name,\n", + " use_existing_data=False,\n", + " property_names=property_names,\n", + " text_queries=text_queries,\n", + " vectorizers_and_moduleConfigs=vectorizers_and_moduleConfigs,\n", + " property_definitions=property_definitions,\n", + " data_objects = data,\n", + " distance_metrics = distance_metrics,\n", + " )\n", "experiment.run()" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "id": "dc262c66", "metadata": {}, "outputs": [ @@ -495,6 +509,7 @@ " \n", " vectorIndexConfig\n", " top objs\n", + " latency\n", " \n", " \n", " \n", @@ -502,11 +517,13 @@ " 0\n", " {'vectorIndexConfig': {'distance': 'cosine'}}\n", " [{'answer': 'Asia', 'question': 'Which continent is China in?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}, {'answer': 'North America', 'question': 'Which continent is USA in?'}]\n", + " 0.002753\n", " \n", " \n", " 1\n", " {'vectorIndexConfig': {'distance': 'l2-squared'}}\n", " [{'answer': 'Asia', 'question': 'Which continent is China in?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}, {'answer': 'North America', 'question': 'Which continent is USA in?'}]\n", + " 0.002279\n", " \n", " \n", "\n", @@ -517,9 +534,13 @@ "0 {'vectorIndexConfig': {'distance': 'cosine'}} \n", "1 {'vectorIndexConfig': {'distance': 'l2-squared'}} \n", "\n", - " top objs \n", - "0 [{'answer': 'Asia', 'question': 'Which continent is China in?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}, {'answer': 'North America', 'question': 'Which continent is USA in?'}] \n", - "1 [{'answer': 'Asia', 'question': 'Which continent is China in?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}, {'answer': 'North America', 'question': 'Which continent is USA in?'}] " + " top objs \\\n", + "0 [{'answer': 'Asia', 'question': 'Which continent is China in?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}, {'answer': 'North America', 'question': 'Which continent is USA in?'}] \n", + "1 [{'answer': 'Asia', 'question': 'Which continent is China in?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}, {'answer': 'North America', 'question': 'Which continent is USA in?'}] \n", + "\n", + " latency \n", + "0 0.002753 \n", + "1 0.002279 " ] }, "metadata": {}, @@ -540,7 +561,7 @@ }, { "cell_type": "markdown", - "id": "21f03398", + "id": "974d6065", "metadata": {}, "source": [ "For now, please refer to the ChromaDB example for possible evaluation methods (i.e. ranking correlation). Other examples show case how you can evaluate with LLMs." From 47bbd2fb2f20dbfce3630c36411369c30a2a2430 Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 6 Sep 2023 00:23:58 -0700 Subject: [PATCH 032/182] Add length 1 case to built-in ranking correlation --- prompttools/utils/ranking_correlation.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/prompttools/utils/ranking_correlation.py b/prompttools/utils/ranking_correlation.py index cd6b5bd2..92b92715 100644 --- a/prompttools/utils/ranking_correlation.py +++ b/prompttools/utils/ranking_correlation.py @@ -32,5 +32,8 @@ def ranking_correlation( >>> ] >>> experiment.evaluate("ranking_correlation", ranking_correlation, expected_ranking=EXPECTED_RANKING_LIST) """ - correlation, _ = stats.spearmanr(row[ranking_column_name], expected_ranking) + actual_ranking = row[ranking_column_name] + if len(expected_ranking) == 1 and len(actual_ranking) == 1: + return 1.0 if expected_ranking == actual_ranking else -1.0 + correlation, _ = stats.spearmanr(actual_ranking, expected_ranking) return correlation From 5bf96e25f4cadcac9f479d4d5fe0d4aed1221e55 Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 6 Sep 2023 00:24:20 -0700 Subject: [PATCH 033/182] Adding evaluation to Weaviate Experiment example --- .../WeaviateExperiment.ipynb | 453 ++++++++++++++++-- 1 file changed, 415 insertions(+), 38 deletions(-) diff --git a/examples/notebooks/vectordb_experiments/WeaviateExperiment.ipynb b/examples/notebooks/vectordb_experiments/WeaviateExperiment.ipynb index 33bc0c8c..9e2e4f8a 100644 --- a/examples/notebooks/vectordb_experiments/WeaviateExperiment.ipynb +++ b/examples/notebooks/vectordb_experiments/WeaviateExperiment.ipynb @@ -66,7 +66,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "ded9af28", + "id": "33e7765a", "metadata": {}, "outputs": [], "source": [ @@ -124,37 +124,31 @@ "name": "stdout", "output_type": "stream", "text": [ - "importing question: 1\n", - "importing question: 2\n", - "importing question: 3\n", - "importing question: 4\n", - "importing question: 5\n", - "importing question: 6\n", - "importing question: 7\n", - "importing question: 8\n" + "Inserting data into Weaviate before the experiment...\n" ] } ], "source": [ "# Can skip if you already have data in Weaviate\n", - "data = [{'Category': 'science', 'Question': 'How many hydrogens are in H2O?', 'Answer': '2'},\n", - " {'Category': 'math', 'Question': '2+2', 'Answer': '4'},\n", - " {'Category': 'math', 'Question': 'Is 13 a prime number?', 'Answer': 'Yes'},\n", - " {'Category': 'geography', 'Question': 'Which continent is India in?', 'Answer': 'Asia'},\n", - " {'Category': 'geography', 'Question': 'Which continent is China in?', 'Answer': 'Asia'},\n", - " {'Category': 'geography', 'Question': 'Which continent is USA in?', 'Answer': 'North America'},\n", - " {'Category': 'geography', 'Question': 'Which is the largest state in the USA?', 'Answer': 'Alaska'},\n", - " {'Category': 'geography', 'Question': 'Which is the most populous state in the USA?', 'Answer': 'California'},]\n", + "data = [{'doc_id': 1, 'Category': 'science', 'Question': 'How many hydrogens are in H2O?', 'Answer': '2'},\n", + " {'doc_id': 2, 'Category': 'math', 'Question': '2+2', 'Answer': '4'},\n", + " {'doc_id': 3, 'Category': 'math', 'Question': 'Is 13 a prime number?', 'Answer': 'Yes'},\n", + " {'doc_id': 4, 'Category': 'geography', 'Question': 'Which continent is India in?', 'Answer': 'Asia'},\n", + " {'doc_id': 5, 'Category': 'geography', 'Question': 'Which continent is China in?', 'Answer': 'Asia'},\n", + " {'doc_id': 6, 'Category': 'geography', 'Question': 'Which continent is USA in?', 'Answer': 'North America'},\n", + " {'doc_id': 7, 'Category': 'geography', 'Question': 'Which is the largest state in the USA?', 'Answer': 'Alaska'},\n", + " {'doc_id': 8, 'Category': 'geography', 'Question': 'Which is the most populous state in the USA?', 'Answer': 'California'},]\n", "\n", "\n", "def _insert_data(data, client):\n", + " print(f\"Inserting data into Weaviate before the experiment...\")\n", " with client.batch(\n", " batch_size=100\n", " ) as batch:\n", " for i, d in enumerate(data):\n", - " print(f\"importing question: {i+1}\")\n", "\n", " properties = {\n", + " \"doc_id\": d[\"doc_id\"],\n", " \"answer\": d[\"Answer\"],\n", " \"question\": d[\"Question\"],\n", " \"category\": d[\"Category\"],\n", @@ -309,28 +303,28 @@ " Hydrogen\n", " default\n", " [{'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'category': 'geography', 'question': 'Which continent is India in?'}]\n", - " 0.008386\n", + " 0.004510\n", " \n", " \n", " 1\n", " USA\n", " default\n", " [{'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}]\n", - " 0.004517\n", + " 0.003896\n", " \n", " \n", " 2\n", " Hydrogen\n", " custom\n", " [{'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}]\n", - " 0.007075\n", + " 0.013911\n", " \n", " \n", " 3\n", " USA\n", " custom\n", " [{'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}]\n", - " 0.005827\n", + " 0.004591\n", " \n", " \n", "\n", @@ -350,10 +344,10 @@ "3 [{'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}] \n", "\n", " latency \n", - "0 0.008386 \n", - "1 0.004517 \n", - "2 0.007075 \n", - "3 0.005827 " + "0 0.004510 \n", + "1 0.003896 \n", + "2 0.013911 \n", + "3 0.004591 " ] }, "metadata": {}, @@ -464,7 +458,7 @@ "outputs": [], "source": [ "property_names = [\"question\", \"answer\"] # Specify what property you would like to query\n", - "text_queries = [\"continent Asia\"] # Your text queries that will be passed in to query builder to create query\n", + "text_queries = [\"continent Asia\", \"hydrogen\"] # Your text queries that will be passed in to query builder to create query\n", "\n", "\n", "experiment = WeaviateExperiment(client=client,\n", @@ -480,6 +474,14 @@ "experiment.run()" ] }, + { + "cell_type": "markdown", + "id": "c07c7c7b", + "metadata": {}, + "source": [ + "In this particular case, the results between using different distance function is the same. However, cosine method is marginally faster than L2-squared in terms of latency." + ] + }, { "cell_type": "code", "execution_count": 14, @@ -507,6 +509,7 @@ " \n", " \n", " \n", + " text_query\n", " vectorIndexConfig\n", " top objs\n", " latency\n", @@ -515,32 +518,54 @@ " \n", " \n", " 0\n", + " continent Asia\n", " {'vectorIndexConfig': {'distance': 'cosine'}}\n", " [{'answer': 'Asia', 'question': 'Which continent is China in?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}, {'answer': 'North America', 'question': 'Which continent is USA in?'}]\n", - " 0.002753\n", + " 0.002494\n", " \n", " \n", " 1\n", + " hydrogen\n", + " {'vectorIndexConfig': {'distance': 'cosine'}}\n", + " [{'answer': '2', 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}]\n", + " 0.003155\n", + " \n", + " \n", + " 2\n", + " continent Asia\n", " {'vectorIndexConfig': {'distance': 'l2-squared'}}\n", " [{'answer': 'Asia', 'question': 'Which continent is China in?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}, {'answer': 'North America', 'question': 'Which continent is USA in?'}]\n", - " 0.002279\n", + " 0.002548\n", + " \n", + " \n", + " 3\n", + " hydrogen\n", + " {'vectorIndexConfig': {'distance': 'l2-squared'}}\n", + " [{'answer': '2', 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}]\n", + " 0.002556\n", " \n", " \n", "\n", "" ], "text/plain": [ - " vectorIndexConfig \\\n", - "0 {'vectorIndexConfig': {'distance': 'cosine'}} \n", - "1 {'vectorIndexConfig': {'distance': 'l2-squared'}} \n", + " text_query vectorIndexConfig \\\n", + "0 continent Asia {'vectorIndexConfig': {'distance': 'cosine'}} \n", + "1 hydrogen {'vectorIndexConfig': {'distance': 'cosine'}} \n", + "2 continent Asia {'vectorIndexConfig': {'distance': 'l2-squared'}} \n", + "3 hydrogen {'vectorIndexConfig': {'distance': 'l2-squared'}} \n", "\n", - " top objs \\\n", - "0 [{'answer': 'Asia', 'question': 'Which continent is China in?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}, {'answer': 'North America', 'question': 'Which continent is USA in?'}] \n", - "1 [{'answer': 'Asia', 'question': 'Which continent is China in?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}, {'answer': 'North America', 'question': 'Which continent is USA in?'}] \n", + " top objs \\\n", + "0 [{'answer': 'Asia', 'question': 'Which continent is China in?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}, {'answer': 'North America', 'question': 'Which continent is USA in?'}] \n", + "1 [{'answer': '2', 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}] \n", + "2 [{'answer': 'Asia', 'question': 'Which continent is China in?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}, {'answer': 'North America', 'question': 'Which continent is USA in?'}] \n", + "3 [{'answer': '2', 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}] \n", "\n", " latency \n", - "0 0.002753 \n", - "1 0.002279 " + "0 0.002494 \n", + "1 0.003155 \n", + "2 0.002548 \n", + "3 0.002556 " ] }, "metadata": {}, @@ -564,7 +589,359 @@ "id": "974d6065", "metadata": {}, "source": [ - "For now, please refer to the ChromaDB example for possible evaluation methods (i.e. ranking correlation). Other examples show case how you can evaluate with LLMs." + "We will circle back to the first example to demonstrate how we can evaluate the outputs from Weaviate.\n", + "\n", + "We will compute the \"ranking correlation\" between the expected ranking and actual ranking returned from the queries.\n", + "\n", + "Note that this is not the only way to evaluate a vector database, there are other examples show case how you can evaluate with LLMs." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "841b451a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Inserting data into Weaviate before the experiment...\n" + ] + }, + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " text_query query_builder_name \\\n", + "0 Hydrogen default \n", + "1 USA default \n", + "2 Hydrogen custom \n", + "3 USA custom \n", + "\n", + " top objs \\\n", + "0 [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'category': 'geography', 'doc_id': 4, 'question': 'Which continent is India in?'}] \n", + "1 [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}] \n", + "2 [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}] \n", + "3 [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}] \n", + "\n", + " latency \n", + "0 0.002769 \n", + "1 0.002926 \n", + "2 0.003282 \n", + "3 0.003573 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "_clear_existing_class(class_name)\n", + "_insert_data(data, client)\n", + "\n", + "property_names = [\"doc_id\", \"category\", \"question\", \"answer\"] # Specify what property you would like to query\n", + "text_queries = [\"Hydrogen\", \"USA\"] # Your text queries that will be passed in to query builder to create query\n", + "\n", + "\n", + "experiment = WeaviateExperiment(client=client,\n", + " class_name=class_name,\n", + " use_existing_data=True,\n", + " property_names=property_names,\n", + " text_queries=text_queries,\n", + " query_builders=query_builders)\n", + "experiment.run()\n", + "experiment.visualize()" + ] + }, + { + "cell_type": "markdown", + "id": "a6e0e7c4", + "metadata": {}, + "source": [ + "We can use write a custom function to extract the top document IDs as an independent column." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "38f416b7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " text_query query_builder_name \\\n", + "0 Hydrogen default \n", + "1 USA default \n", + "2 Hydrogen custom \n", + "3 USA custom \n", + "\n", + " top objs \\\n", + "0 [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'category': 'geography', 'doc_id': 4, 'question': 'Which continent is India in?'}] \n", + "1 [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}] \n", + "2 [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}] \n", + "3 [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}] \n", + "\n", + " latency top doc ids \n", + "0 0.002769 [1, 7, 4] \n", + "1 0.002926 [7, 8, 6] \n", + "2 0.003282 [1] \n", + "3 0.003573 [7, 8, 6] " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def get_top_doc_ids(row):\n", + " return [d[\"doc_id\"] for d in row[\"top objs\"]]\n", + "\n", + "experiment.evaluate(\"top doc ids\", get_top_doc_ids)\n", + "experiment.visualize()" + ] + }, + { + "cell_type": "markdown", + "id": "d763a724", + "metadata": {}, + "source": [ + "Then, we can compute the ranking correlation." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "074c6629", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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text_queryquery_builder_nametop objslatencytop doc idsranking_correlation
0Hydrogendefault[{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'category': 'geography', 'doc_id': 4, 'question': 'Which continent is India in?'}]0.002769[1, 7, 4]-0.866025
1USAdefault[{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}]0.002926[7, 8, 6]1.000000
2Hydrogencustom[{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}]0.003282[1]1.000000
3USAcustom[{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}]0.003573[7, 8, 6]1.000000
\n", + "
" + ], + "text/plain": [ + " text_query query_builder_name \\\n", + "0 Hydrogen default \n", + "1 USA default \n", + "2 Hydrogen custom \n", + "3 USA custom \n", + "\n", + " top objs \\\n", + "0 [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'category': 'geography', 'doc_id': 4, 'question': 'Which continent is India in?'}] \n", + "1 [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}] \n", + "2 [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}] \n", + "3 [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}] \n", + "\n", + " latency top doc ids ranking_correlation \n", + "0 0.002769 [1, 7, 4] -0.866025 \n", + "1 0.002926 [7, 8, 6] 1.000000 \n", + "2 0.003282 [1] 1.000000 \n", + "3 0.003573 [7, 8, 6] 1.000000 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from prompttools.utils import ranking_correlation\n", + "\n", + "EXPECTED_RANKING_LIST = [\n", + " [1, 0, 0], # Padded\n", + " [7, 8, 6],\n", + " [1],\n", + " [7, 8, 6],\n", + "]\n", + "\n", + "experiment.evaluate(\"ranking_correlation\", ranking_correlation, expected_ranking=EXPECTED_RANKING_LIST)\n", + "experiment.visualize()" ] } ], From 2680dbf2b7ba28fec40cf89de5a2347838a1dad4 Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 6 Sep 2023 00:33:06 -0700 Subject: [PATCH 034/182] Update README models supported --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index ce41c2ec..52741803 100644 --- a/README.md +++ b/README.md @@ -108,6 +108,7 @@ Vector Databases and Data Utility - LanceDB - **Supported** - Milvus - Exploratory - Pinecone - Exploratory +- Epsilla - _In Progress_ Frameworks - LangChain - **Supported** @@ -116,7 +117,7 @@ Frameworks Computer Vision - Stable Diffusion - **Supported** -- Replicate's hosted Stable Diffusion - _In Progress_ +- Replicate's hosted Stable Diffusion - **Supported** If you have any API that you'd like to see being supported soon, please open an issue or a PR to add it. Feel free to discuss in our Discord channel as well. From c3b96d3f886828348ad78050d487070e6df8ed9a Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 6 Sep 2023 17:33:53 -0700 Subject: [PATCH 035/182] Adding hybrid search to Weaviate --- .../WeaviateExperiment.ipynb | 327 ++++++++++++------ 1 file changed, 216 insertions(+), 111 deletions(-) diff --git a/examples/notebooks/vectordb_experiments/WeaviateExperiment.ipynb b/examples/notebooks/vectordb_experiments/WeaviateExperiment.ipynb index 9e2e4f8a..ec56916c 100644 --- a/examples/notebooks/vectordb_experiments/WeaviateExperiment.ipynb +++ b/examples/notebooks/vectordb_experiments/WeaviateExperiment.ipynb @@ -130,14 +130,14 @@ ], "source": [ "# Can skip if you already have data in Weaviate\n", - "data = [{'doc_id': 1, 'Category': 'science', 'Question': 'How many hydrogens are in H2O?', 'Answer': '2'},\n", - " {'doc_id': 2, 'Category': 'math', 'Question': '2+2', 'Answer': '4'},\n", - " {'doc_id': 3, 'Category': 'math', 'Question': 'Is 13 a prime number?', 'Answer': 'Yes'},\n", - " {'doc_id': 4, 'Category': 'geography', 'Question': 'Which continent is India in?', 'Answer': 'Asia'},\n", - " {'doc_id': 5, 'Category': 'geography', 'Question': 'Which continent is China in?', 'Answer': 'Asia'},\n", - " {'doc_id': 6, 'Category': 'geography', 'Question': 'Which continent is USA in?', 'Answer': 'North America'},\n", - " {'doc_id': 7, 'Category': 'geography', 'Question': 'Which is the largest state in the USA?', 'Answer': 'Alaska'},\n", - " {'doc_id': 8, 'Category': 'geography', 'Question': 'Which is the most populous state in the USA?', 'Answer': 'California'},]\n", + "data = [{'doc_id': \"1\", 'Category': 'science', 'Question': 'How many hydrogens are in H2O?', 'Answer': '2'},\n", + " {'doc_id': \"2\", 'Category': 'math', 'Question': '2+2', 'Answer': '4'},\n", + " {'doc_id': \"3\", 'Category': 'math', 'Question': 'Is 13 a prime number?', 'Answer': 'Yes'},\n", + " {'doc_id': \"4\", 'Category': 'geography', 'Question': 'Which continent is India in?', 'Answer': 'Asia'},\n", + " {'doc_id': \"5\", 'Category': 'geography', 'Question': 'Which continent is China in?', 'Answer': 'Asia'},\n", + " {'doc_id': \"6\", 'Category': 'geography', 'Question': 'Which continent is USA in?', 'Answer': 'North America'},\n", + " {'doc_id': \"7\", 'Category': 'geography', 'Question': 'Which is the largest state in the USA?', 'Answer': 'Alaska'},\n", + " {'doc_id': \"8\", 'Category': 'geography', 'Question': 'Which is the most populous state in the USA?', 'Answer': 'California'},]\n", "\n", "\n", "def _insert_data(data, client):\n", @@ -173,7 +173,14 @@ "\n", "Given that there are many options on how a near text search operator and filters can be constructed. We ask that you define query functions and pass that into the experiment in the form of a dictionary `{name: callable_function}`, as shown below.\n", "\n", - "Note: there is a default query function if you aren't interested in testing different querying methods." + "We have three examples of query functions:\n", + "1. Default query - performs a near text search based on your text query and properties\n", + "2. A custom query - similar to the default, but wants the result to be away from the \"geography\" topic\n", + "3. Hybrid search - combines `bm25` search and vector (near text) search\n", + "\n", + "You can create your own custom query function, such as one that perform generative search.\n", + "\n", + "Note: the default query function is available and used by experiment by default if you aren't interested in testing different querying methods." ] }, { @@ -190,10 +197,10 @@ " text_query: str,\n", "):\n", " near_text_search_operator = {\"concepts\": [text_query]}\n", - " return client.query.get(class_name, property_names).with_near_text(near_text_search_operator).with_limit(limit=3)\n", + " return client.query.get(class_name, property_names).with_additional([\"id\"]).with_near_text(near_text_search_operator).with_limit(limit=3)\n", "\n", "\n", - "def custom_query_builder(\n", + "def away_query_builder(\n", " client: weaviate.Client,\n", " class_name: str,\n", " property_names: list[str],\n", @@ -207,10 +214,20 @@ " \"force\": 0.45\n", " },\n", " }\n", - " return client.query.get(class_name, property_names).with_near_text(near_text_search_operator).with_limit(limit=3)\n", + " return client.query.get(class_name, property_names).with_additional([\"id\"]).with_near_text(near_text_search_operator).with_limit(limit=3)\n", + "\n", + "def hybird_query_builder(\n", + " client: weaviate.Client,\n", + " class_name: str,\n", + " property_names: list[str],\n", + " text_query: str,\n", + "):\n", + " hybrid_kwargs = {\"query\": text_query, \"properties\": property_names, \"vector\": None}\n", + " return client.query.get(class_name, property_names).with_additional([\"id\"]).with_hybrid(**hybrid_kwargs).with_limit(limit=3)\n", + " \n", "\n", "# A dictionary of the name of query builder and the corresponding callable function.\n", - "query_builders = {\"default\": default_query_builder, \"custom\": custom_query_builder}" + "query_builders = {\"default\": default_query_builder, \"away\": away_query_builder, \"hybrid\": hybird_query_builder}" ] }, { @@ -261,7 +278,7 @@ "id": "609edea5", "metadata": {}, "source": [ - "As you can see from the results, the \"custom\" queries try to stay away from geography topics in its responses (unless it is highly relevant), whereas the first one is agnostic." + "As you can see from the results, the \"away\" queries try to stay away from geography topics in its responses (unless it is highly relevant), whereas the first one is agnostic." ] }, { @@ -302,29 +319,43 @@ " 0\n", " Hydrogen\n", " default\n", - " [{'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'category': 'geography', 'question': 'Which continent is India in?'}]\n", - " 0.004510\n", + " [{'_additional': {'id': '5a12d2bb-4eea-408d-b80c-bc730ea6f518'}, 'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}, {'_additional': {'id': 'de282efa-f441-4dcb-a2bb-df8233664dc1'}, 'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '5a691b7a-9d9f-401b-a2c9-208a84faed17'}, 'answer': 'Asia', 'category': 'geography', 'question': 'Which continent is India in?'}]\n", + " 0.004654\n", " \n", " \n", " 1\n", " USA\n", " default\n", - " [{'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}]\n", - " 0.003896\n", + " [{'_additional': {'id': 'de282efa-f441-4dcb-a2bb-df8233664dc1'}, 'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '1f21ccab-185a-417e-806f-2044077b22a7'}, 'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '020c271d-ba75-4c27-a0ba-263df7e3d0d9'}, 'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}]\n", + " 0.003442\n", " \n", " \n", " 2\n", " Hydrogen\n", - " custom\n", - " [{'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}]\n", - " 0.013911\n", + " away\n", + " [{'_additional': {'id': '5a12d2bb-4eea-408d-b80c-bc730ea6f518'}, 'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}]\n", + " 0.003543\n", " \n", " \n", " 3\n", " USA\n", - " custom\n", - " [{'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}]\n", - " 0.004591\n", + " away\n", + " [{'_additional': {'id': 'de282efa-f441-4dcb-a2bb-df8233664dc1'}, 'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '1f21ccab-185a-417e-806f-2044077b22a7'}, 'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '020c271d-ba75-4c27-a0ba-263df7e3d0d9'}, 'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}]\n", + " 0.003603\n", + " \n", + " \n", + " 4\n", + " Hydrogen\n", + " hybrid\n", + " [{'_additional': {'id': '5a12d2bb-4eea-408d-b80c-bc730ea6f518'}, 'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}, {'_additional': {'id': 'de282efa-f441-4dcb-a2bb-df8233664dc1'}, 'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '5a691b7a-9d9f-401b-a2c9-208a84faed17'}, 'answer': 'Asia', 'category': 'geography', 'question': 'Which continent is India in?'}]\n", + " 0.003401\n", + " \n", + " \n", + " 5\n", + " USA\n", + " hybrid\n", + " [{'_additional': {'id': 'de282efa-f441-4dcb-a2bb-df8233664dc1'}, 'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '1f21ccab-185a-417e-806f-2044077b22a7'}, 'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '020c271d-ba75-4c27-a0ba-263df7e3d0d9'}, 'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}]\n", + " 0.004394\n", " \n", " \n", "\n", @@ -334,20 +365,26 @@ " text_query query_builder_name \\\n", "0 Hydrogen default \n", "1 USA default \n", - "2 Hydrogen custom \n", - "3 USA custom \n", + "2 Hydrogen away \n", + "3 USA away \n", + "4 Hydrogen hybrid \n", + "5 USA hybrid \n", "\n", - " top objs \\\n", - "0 [{'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'category': 'geography', 'question': 'Which continent is India in?'}] \n", - "1 [{'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}] \n", - "2 [{'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}] \n", - "3 [{'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}] \n", + " top objs \\\n", + "0 [{'_additional': {'id': '5a12d2bb-4eea-408d-b80c-bc730ea6f518'}, 'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}, {'_additional': {'id': 'de282efa-f441-4dcb-a2bb-df8233664dc1'}, 'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '5a691b7a-9d9f-401b-a2c9-208a84faed17'}, 'answer': 'Asia', 'category': 'geography', 'question': 'Which continent is India in?'}] \n", + "1 [{'_additional': {'id': 'de282efa-f441-4dcb-a2bb-df8233664dc1'}, 'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '1f21ccab-185a-417e-806f-2044077b22a7'}, 'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '020c271d-ba75-4c27-a0ba-263df7e3d0d9'}, 'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}] \n", + "2 [{'_additional': {'id': '5a12d2bb-4eea-408d-b80c-bc730ea6f518'}, 'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}] \n", + "3 [{'_additional': {'id': 'de282efa-f441-4dcb-a2bb-df8233664dc1'}, 'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '1f21ccab-185a-417e-806f-2044077b22a7'}, 'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '020c271d-ba75-4c27-a0ba-263df7e3d0d9'}, 'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}] \n", + "4 [{'_additional': {'id': '5a12d2bb-4eea-408d-b80c-bc730ea6f518'}, 'answer': '2', 'category': 'science', 'question': 'How many hydrogens are in H2O?'}, {'_additional': {'id': 'de282efa-f441-4dcb-a2bb-df8233664dc1'}, 'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '5a691b7a-9d9f-401b-a2c9-208a84faed17'}, 'answer': 'Asia', 'category': 'geography', 'question': 'Which continent is India in?'}] \n", + "5 [{'_additional': {'id': 'de282efa-f441-4dcb-a2bb-df8233664dc1'}, 'answer': 'Alaska', 'category': 'geography', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '1f21ccab-185a-417e-806f-2044077b22a7'}, 'answer': 'California', 'category': 'geography', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '020c271d-ba75-4c27-a0ba-263df7e3d0d9'}, 'answer': 'North America', 'category': 'geography', 'question': 'Which continent is USA in?'}] \n", "\n", " latency \n", - "0 0.004510 \n", - "1 0.003896 \n", - "2 0.013911 \n", - "3 0.004591 " + "0 0.004654 \n", + "1 0.003442 \n", + "2 0.003543 \n", + "3 0.003603 \n", + "4 0.003401 \n", + "5 0.004394 " ] }, "metadata": {}, @@ -521,28 +558,28 @@ " continent Asia\n", " {'vectorIndexConfig': {'distance': 'cosine'}}\n", " [{'answer': 'Asia', 'question': 'Which continent is China in?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}, {'answer': 'North America', 'question': 'Which continent is USA in?'}]\n", - " 0.002494\n", + " 0.004236\n", " \n", " \n", " 1\n", " hydrogen\n", " {'vectorIndexConfig': {'distance': 'cosine'}}\n", " [{'answer': '2', 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}]\n", - " 0.003155\n", + " 0.004716\n", " \n", " \n", " 2\n", " continent Asia\n", " {'vectorIndexConfig': {'distance': 'l2-squared'}}\n", " [{'answer': 'Asia', 'question': 'Which continent is China in?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}, {'answer': 'North America', 'question': 'Which continent is USA in?'}]\n", - " 0.002548\n", + " 0.002707\n", " \n", " \n", " 3\n", " hydrogen\n", " {'vectorIndexConfig': {'distance': 'l2-squared'}}\n", " [{'answer': '2', 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}]\n", - " 0.002556\n", + " 0.002025\n", " \n", " \n", "\n", @@ -562,10 +599,10 @@ "3 [{'answer': '2', 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'question': 'Which continent is India in?'}] \n", "\n", " latency \n", - "0 0.002494 \n", - "1 0.003155 \n", - "2 0.002548 \n", - "3 0.002556 " + "0 0.004236 \n", + "1 0.004716 \n", + "2 0.002707 \n", + "3 0.002025 " ] }, "metadata": {}, @@ -641,29 +678,43 @@ " 0\n", " Hydrogen\n", " default\n", - " [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'category': 'geography', 'doc_id': 4, 'question': 'Which continent is India in?'}]\n", - " 0.002769\n", + " [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}, {'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '919798e4-7f06-4f2e-830b-8c39c0e3cc93'}, 'answer': 'Asia', 'category': 'geography', 'doc_id': '4', 'question': 'Which continent is India in?'}]\n", + " 0.002544\n", " \n", " \n", " 1\n", " USA\n", " default\n", - " [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}]\n", - " 0.002926\n", + " [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}]\n", + " 0.002263\n", " \n", " \n", " 2\n", " Hydrogen\n", - " custom\n", - " [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}]\n", - " 0.003282\n", + " away\n", + " [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}]\n", + " 0.003149\n", " \n", " \n", " 3\n", " USA\n", - " custom\n", - " [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}]\n", - " 0.003573\n", + " away\n", + " [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}]\n", + " 0.002926\n", + " \n", + " \n", + " 4\n", + " Hydrogen\n", + " hybrid\n", + " [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}, {'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '919798e4-7f06-4f2e-830b-8c39c0e3cc93'}, 'answer': 'Asia', 'category': 'geography', 'doc_id': '4', 'question': 'Which continent is India in?'}]\n", + " 0.002252\n", + " \n", + " \n", + " 5\n", + " USA\n", + " hybrid\n", + " [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}]\n", + " 0.002231\n", " \n", " \n", "\n", @@ -673,20 +724,26 @@ " text_query query_builder_name \\\n", "0 Hydrogen default \n", "1 USA default \n", - "2 Hydrogen custom \n", - "3 USA custom \n", + "2 Hydrogen away \n", + "3 USA away \n", + "4 Hydrogen hybrid \n", + "5 USA hybrid \n", "\n", - " top objs \\\n", - "0 [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'category': 'geography', 'doc_id': 4, 'question': 'Which continent is India in?'}] \n", - "1 [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}] \n", - "2 [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}] \n", - "3 [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}] \n", + " top objs \\\n", + "0 [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}, {'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '919798e4-7f06-4f2e-830b-8c39c0e3cc93'}, 'answer': 'Asia', 'category': 'geography', 'doc_id': '4', 'question': 'Which continent is India in?'}] \n", + "1 [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}] \n", + "2 [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}] \n", + "3 [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}] \n", + "4 [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}, {'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '919798e4-7f06-4f2e-830b-8c39c0e3cc93'}, 'answer': 'Asia', 'category': 'geography', 'doc_id': '4', 'question': 'Which continent is India in?'}] \n", + "5 [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}] \n", "\n", " latency \n", - "0 0.002769 \n", - "1 0.002926 \n", - "2 0.003282 \n", - "3 0.003573 " + "0 0.002544 \n", + "1 0.002263 \n", + "2 0.003149 \n", + "3 0.002926 \n", + "4 0.002252 \n", + "5 0.002231 " ] }, "metadata": {}, @@ -758,32 +815,48 @@ " 0\n", " Hydrogen\n", " default\n", - " [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'category': 'geography', 'doc_id': 4, 'question': 'Which continent is India in?'}]\n", - " 0.002769\n", + " [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}, {'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '919798e4-7f06-4f2e-830b-8c39c0e3cc93'}, 'answer': 'Asia', 'category': 'geography', 'doc_id': '4', 'question': 'Which continent is India in?'}]\n", + " 0.002544\n", " [1, 7, 4]\n", " \n", " \n", " 1\n", " USA\n", " default\n", - " [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}]\n", - " 0.002926\n", + " [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}]\n", + " 0.002263\n", " [7, 8, 6]\n", " \n", " \n", " 2\n", " Hydrogen\n", - " custom\n", - " [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}]\n", - " 0.003282\n", + " away\n", + " [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}]\n", + " 0.003149\n", " [1]\n", " \n", " \n", " 3\n", " USA\n", - " custom\n", - " [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}]\n", - " 0.003573\n", + " away\n", + " [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}]\n", + " 0.002926\n", + " [7, 8, 6]\n", + " \n", + " \n", + " 4\n", + " Hydrogen\n", + " hybrid\n", + " [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}, {'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '919798e4-7f06-4f2e-830b-8c39c0e3cc93'}, 'answer': 'Asia', 'category': 'geography', 'doc_id': '4', 'question': 'Which continent is India in?'}]\n", + " 0.002252\n", + " [1, 7, 4]\n", + " \n", + " \n", + " 5\n", + " USA\n", + " hybrid\n", + " [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}]\n", + " 0.002231\n", " [7, 8, 6]\n", " \n", " \n", @@ -794,20 +867,26 @@ " text_query query_builder_name \\\n", "0 Hydrogen default \n", "1 USA default \n", - "2 Hydrogen custom \n", - "3 USA custom \n", + "2 Hydrogen away \n", + "3 USA away \n", + "4 Hydrogen hybrid \n", + "5 USA hybrid \n", "\n", - " top objs \\\n", - "0 [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'category': 'geography', 'doc_id': 4, 'question': 'Which continent is India in?'}] \n", - "1 [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}] \n", - "2 [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}] \n", - "3 [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}] \n", + " top objs \\\n", + "0 [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}, {'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '919798e4-7f06-4f2e-830b-8c39c0e3cc93'}, 'answer': 'Asia', 'category': 'geography', 'doc_id': '4', 'question': 'Which continent is India in?'}] \n", + "1 [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}] \n", + "2 [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}] \n", + "3 [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}] \n", + "4 [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}, {'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '919798e4-7f06-4f2e-830b-8c39c0e3cc93'}, 'answer': 'Asia', 'category': 'geography', 'doc_id': '4', 'question': 'Which continent is India in?'}] \n", + "5 [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}] \n", "\n", " latency top doc ids \n", - "0 0.002769 [1, 7, 4] \n", - "1 0.002926 [7, 8, 6] \n", - "2 0.003282 [1] \n", - "3 0.003573 [7, 8, 6] " + "0 0.002544 [1, 7, 4] \n", + "1 0.002263 [7, 8, 6] \n", + "2 0.003149 [1] \n", + "3 0.002926 [7, 8, 6] \n", + "4 0.002252 [1, 7, 4] \n", + "5 0.002231 [7, 8, 6] " ] }, "metadata": {}, @@ -827,7 +906,7 @@ "id": "d763a724", "metadata": {}, "source": [ - "Then, we can compute the ranking correlation." + "Then, we can compute the ranking correlation. A positive correlation means it is matching the expected ranking, when a negative means the match is worse." ] }, { @@ -870,8 +949,8 @@ " 0\n", " Hydrogen\n", " default\n", - " [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'category': 'geography', 'doc_id': 4, 'question': 'Which continent is India in?'}]\n", - " 0.002769\n", + " [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}, {'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '919798e4-7f06-4f2e-830b-8c39c0e3cc93'}, 'answer': 'Asia', 'category': 'geography', 'doc_id': '4', 'question': 'Which continent is India in?'}]\n", + " 0.002544\n", " [1, 7, 4]\n", " -0.866025\n", " \n", @@ -879,26 +958,44 @@ " 1\n", " USA\n", " default\n", - " [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}]\n", - " 0.002926\n", + " [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}]\n", + " 0.002263\n", " [7, 8, 6]\n", " 1.000000\n", " \n", " \n", " 2\n", " Hydrogen\n", - " custom\n", - " [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}]\n", - " 0.003282\n", + " away\n", + " [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}]\n", + " 0.003149\n", " [1]\n", " 1.000000\n", " \n", " \n", " 3\n", " USA\n", - " custom\n", - " [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}]\n", - " 0.003573\n", + " away\n", + " [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}]\n", + " 0.002926\n", + " [7, 8, 6]\n", + " 1.000000\n", + " \n", + " \n", + " 4\n", + " Hydrogen\n", + " hybrid\n", + " [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}, {'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '919798e4-7f06-4f2e-830b-8c39c0e3cc93'}, 'answer': 'Asia', 'category': 'geography', 'doc_id': '4', 'question': 'Which continent is India in?'}]\n", + " 0.002252\n", + " [1, 7, 4]\n", + " -0.866025\n", + " \n", + " \n", + " 5\n", + " USA\n", + " hybrid\n", + " [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}]\n", + " 0.002231\n", " [7, 8, 6]\n", " 1.000000\n", " \n", @@ -910,20 +1007,26 @@ " text_query query_builder_name \\\n", "0 Hydrogen default \n", "1 USA default \n", - "2 Hydrogen custom \n", - "3 USA custom \n", + "2 Hydrogen away \n", + "3 USA away \n", + "4 Hydrogen hybrid \n", + "5 USA hybrid \n", "\n", - " top objs \\\n", - "0 [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}, {'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'Asia', 'category': 'geography', 'doc_id': 4, 'question': 'Which continent is India in?'}] \n", - "1 [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}] \n", - "2 [{'answer': '2', 'category': 'science', 'doc_id': 1, 'question': 'How many hydrogens are in H2O?'}] \n", - "3 [{'answer': 'Alaska', 'category': 'geography', 'doc_id': 7, 'question': 'Which is the largest state in the USA?'}, {'answer': 'California', 'category': 'geography', 'doc_id': 8, 'question': 'Which is the most populous state in the USA?'}, {'answer': 'North America', 'category': 'geography', 'doc_id': 6, 'question': 'Which continent is USA in?'}] \n", + " top objs \\\n", + "0 [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}, {'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '919798e4-7f06-4f2e-830b-8c39c0e3cc93'}, 'answer': 'Asia', 'category': 'geography', 'doc_id': '4', 'question': 'Which continent is India in?'}] \n", + "1 [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}] \n", + "2 [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}] \n", + "3 [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}] \n", + "4 [{'_additional': {'id': 'd64dc836-3793-47d9-b5cd-157576e9efe8'}, 'answer': '2', 'category': 'science', 'doc_id': '1', 'question': 'How many hydrogens are in H2O?'}, {'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '919798e4-7f06-4f2e-830b-8c39c0e3cc93'}, 'answer': 'Asia', 'category': 'geography', 'doc_id': '4', 'question': 'Which continent is India in?'}] \n", + "5 [{'_additional': {'id': '1f9bfa43-0b3a-47c0-85f5-12ee6e859617'}, 'answer': 'Alaska', 'category': 'geography', 'doc_id': '7', 'question': 'Which is the largest state in the USA?'}, {'_additional': {'id': '9b6af54e-6d62-4674-8c08-22a5bb8e5904'}, 'answer': 'California', 'category': 'geography', 'doc_id': '8', 'question': 'Which is the most populous state in the USA?'}, {'_additional': {'id': '4a417618-cedd-422f-bdeb-fe0aadc8855d'}, 'answer': 'North America', 'category': 'geography', 'doc_id': '6', 'question': 'Which continent is USA in?'}] \n", "\n", " latency top doc ids ranking_correlation \n", - "0 0.002769 [1, 7, 4] -0.866025 \n", - "1 0.002926 [7, 8, 6] 1.000000 \n", - "2 0.003282 [1] 1.000000 \n", - "3 0.003573 [7, 8, 6] 1.000000 " + "0 0.002544 [1, 7, 4] -0.866025 \n", + "1 0.002263 [7, 8, 6] 1.000000 \n", + "2 0.003149 [1] 1.000000 \n", + "3 0.002926 [7, 8, 6] 1.000000 \n", + "4 0.002252 [1, 7, 4] -0.866025 \n", + "5 0.002231 [7, 8, 6] 1.000000 " ] }, "metadata": {}, @@ -934,10 +1037,12 @@ "from prompttools.utils import ranking_correlation\n", "\n", "EXPECTED_RANKING_LIST = [\n", - " [1, 0, 0], # Padded\n", - " [7, 8, 6],\n", - " [1],\n", - " [7, 8, 6],\n", + " [\"1\", \"0\", \"0\"], # Padded\n", + " [\"7\", \"8\", \"6\"],\n", + " [\"1\"],\n", + " [\"7\", \"8\", \"6\"],\n", + " [\"1\", \"0\", \"0\"],\n", + " [\"7\", \"8\", \"6\"],\n", "]\n", "\n", "experiment.evaluate(\"ranking_correlation\", ranking_correlation, expected_ranking=EXPECTED_RANKING_LIST)\n", From 4245545741d0c32f26653f42d96bb8b4b8862081 Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 12 Sep 2023 09:02:08 -0700 Subject: [PATCH 036/182] Initial RetrievalAugmentedGeneration Harness --- prompttools/harness/__init__.py | 2 + prompttools/harness/rag_harness.py | 103 +++++++++++++++++++++++++++++ 2 files changed, 105 insertions(+) create mode 100644 prompttools/harness/rag_harness.py diff --git a/prompttools/harness/__init__.py b/prompttools/harness/__init__.py index bb1610e4..e904403f 100644 --- a/prompttools/harness/__init__.py +++ b/prompttools/harness/__init__.py @@ -10,6 +10,7 @@ from .chat_model_comparison_harness import ChatModelComparisonHarness from .multi_experiment_harness import MultiExperimentHarness from .prompt_template_harness import PromptTemplateExperimentationHarness +from .rag_harness import RetrievalAugmentedGenerationExperimentationHarness from .system_prompt_harness import SystemPromptExperimentationHarness @@ -19,5 +20,6 @@ "ExperimentationHarness", "MultiExperimentHarness", "PromptTemplateExperimentationHarness", + "RetrievalAugmentedGenerationExperimentationHarness", "SystemPromptExperimentationHarness", ] diff --git a/prompttools/harness/rag_harness.py b/prompttools/harness/rag_harness.py new file mode 100644 index 00000000..5919b167 --- /dev/null +++ b/prompttools/harness/rag_harness.py @@ -0,0 +1,103 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + +from typing import Optional, Type, Callable +import jinja2 +from .harness import ExperimentationHarness, Experiment +import copy + + +DOC_PROMPT_TEMPLATE = r""" +Given these documents:{{documents}} + +{{prompt}} +""" + + +def _doc_list_to_str(documents: list[str]) -> str: + res = "" + for d in documents: + res += "\n" + res += d + return res + + +def generate_doc_prompt(documents: list[str], prompt: str): + environment = jinja2.Environment() + template = environment.from_string(DOC_PROMPT_TEMPLATE) + doc_str = _doc_list_to_str(documents) + + doc_prompt = template.render( + { + "documents": doc_str, + "prompt": prompt, + } + ) + return doc_prompt + + +class RetrievalAugmentedGenerationExperimentationHarness(ExperimentationHarness): + r""" + An experimentation harness used to test the Retrieval-Augmented Generation Process, which + involves a vector DB and a LLM at the same time. + + Args: + vector_db_experiment (Experiment): An initialized vector DB experiment. + llm_experiment (Type[Experiment]): The experiment constructor that you would like to execute within the harness + (e.g. ``prompttools.experiment.OpenAICompletionExperiment``) + llm_arguments (dict[str, list]): Dictionary of arguments for the LLM. + extract_document_fn (Callable): A function, when given a row of results from the vector DB experiment, + extract the relevant documents (``list[str]``) that will be inserted into the template. + prompt_template (str): A ``jinja``-styled templates, where documents and prompt will be inserted. + """ + + PIVOT_COLUMNS = ["prompt_template", "user_input"] + + def __init__( + self, + vector_db_experiment: Experiment, + llm_experiment: Type[Experiment], + llm_arguments: dict, + extract_document_fn: Callable, + prompt_template: str = DOC_PROMPT_TEMPLATE, + ): + self.vector_db_experiment = vector_db_experiment + self.llm_experiment_cls: Type[Experiment] = llm_experiment + self.llm_experiment: Optional[Experiment] = None + self.llm_arguments = copy.copy(llm_arguments) + self.extract_document_fn = extract_document_fn # Given a row, return a list of documents from the row + self.prompt_templates = prompt_template + + def run(self) -> None: + self.vector_db_experiment.run() + document_lists: list[list[str]] = [] + # latencies = [] # TODO: Include latency results + # Extract documents from the result of + for i, row in self.vector_db_experiment.full_df.iterrows(): + document_lists.append(self.extract_document_fn(row)) + # latencies.append(row["latencies"]) + # Put documents into prompt template + augmented_prompts = [] + for doc in document_lists: + for prompt in self.llm_arguments["prompt"]: # TODO: Make this work for chat + augmented_prompts.append(generate_doc_prompt(doc, prompt)) + + # Pass documents into LLM + self.llm_arguments["prompt"]: list[str] = augmented_prompts + self.llm_experiment = self.llm_experiment_cls(**self.llm_arguments) + + # Run the LLM experiment + self.llm_experiment.run() + # TODO: Need to clean up results, ideally display these columns ("top doc ids", "prompt") + # Right now it is displaying the fully augmented prompt for every row, which take up too much space + # Permutation ordering (doc_list1, prompt, then other arguments) + self.partial_df = self.llm_experiment.partial_df + self.full_df = self.llm_experiment.full_df + + def visualize(self) -> None: + if self.llm_experiment is None: + self.run() + self.llm_experiment.visualize() From 89c201dcbee62002a7d751473cde5ee582010862 Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 12 Sep 2023 10:12:18 -0700 Subject: [PATCH 037/182] Improving Retrieval Augmented Generation harness --- prompttools/harness/rag_harness.py | 34 ++++++++++++++---------------- 1 file changed, 16 insertions(+), 18 deletions(-) diff --git a/prompttools/harness/rag_harness.py b/prompttools/harness/rag_harness.py index 5919b167..ee0f8c11 100644 --- a/prompttools/harness/rag_harness.py +++ b/prompttools/harness/rag_harness.py @@ -25,7 +25,7 @@ def _doc_list_to_str(documents: list[str]) -> str: return res -def generate_doc_prompt(documents: list[str], prompt: str): +def _generate_doc_prompt(documents: list[str], prompt: str): environment = jinja2.Environment() template = environment.from_string(DOC_PROMPT_TEMPLATE) doc_str = _doc_list_to_str(documents) @@ -41,34 +41,32 @@ def generate_doc_prompt(documents: list[str], prompt: str): class RetrievalAugmentedGenerationExperimentationHarness(ExperimentationHarness): r""" - An experimentation harness used to test the Retrieval-Augmented Generation Process, which + An experimentation harness used to test the Retrieval-Augmented Generation process, which involves a vector DB and a LLM at the same time. Args: vector_db_experiment (Experiment): An initialized vector DB experiment. - llm_experiment (Type[Experiment]): The experiment constructor that you would like to execute within the harness - (e.g. ``prompttools.experiment.OpenAICompletionExperiment``) + llm_experiment_cls (Type[Experiment]): The experiment constructor that you would like to execute + within the harness (e.g. ``prompttools.experiment.OpenAICompletionExperiment``) llm_arguments (dict[str, list]): Dictionary of arguments for the LLM. extract_document_fn (Callable): A function, when given a row of results from the vector DB experiment, extract the relevant documents (``list[str]``) that will be inserted into the template. prompt_template (str): A ``jinja``-styled templates, where documents and prompt will be inserted. """ - PIVOT_COLUMNS = ["prompt_template", "user_input"] - def __init__( self, vector_db_experiment: Experiment, - llm_experiment: Type[Experiment], + llm_experiment_cls: Type[Experiment], llm_arguments: dict, extract_document_fn: Callable, prompt_template: str = DOC_PROMPT_TEMPLATE, ): self.vector_db_experiment = vector_db_experiment - self.llm_experiment_cls: Type[Experiment] = llm_experiment - self.llm_experiment: Optional[Experiment] = None + self.llm_experiment_cls: Type[Experiment] = llm_experiment_cls + self.experiment: Optional[Experiment] = None self.llm_arguments = copy.copy(llm_arguments) - self.extract_document_fn = extract_document_fn # Given a row, return a list of documents from the row + self.extract_document_fn = extract_document_fn self.prompt_templates = prompt_template def run(self) -> None: @@ -82,22 +80,22 @@ def run(self) -> None: # Put documents into prompt template augmented_prompts = [] for doc in document_lists: - for prompt in self.llm_arguments["prompt"]: # TODO: Make this work for chat - augmented_prompts.append(generate_doc_prompt(doc, prompt)) + for prompt in self.llm_arguments["prompt"]: # TODO: Make this work for chat, check `experiment._is_chat()` + augmented_prompts.append(_generate_doc_prompt(doc, prompt)) # Pass documents into LLM self.llm_arguments["prompt"]: list[str] = augmented_prompts - self.llm_experiment = self.llm_experiment_cls(**self.llm_arguments) + self.experiment = self.llm_experiment_cls(**self.llm_arguments) # Run the LLM experiment - self.llm_experiment.run() + self.experiment.run() # TODO: Need to clean up results, ideally display these columns ("top doc ids", "prompt") # Right now it is displaying the fully augmented prompt for every row, which take up too much space # Permutation ordering (doc_list1, prompt, then other arguments) - self.partial_df = self.llm_experiment.partial_df - self.full_df = self.llm_experiment.full_df + self.partial_df = self.experiment.partial_df + self.full_df = self.experiment.full_df def visualize(self) -> None: - if self.llm_experiment is None: + if self.experiment is None: self.run() - self.llm_experiment.visualize() + self.experiment.visualize() From 70abe29f24350ad6ac1ad7c95b668eaef136f28c Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 12 Sep 2023 10:14:00 -0700 Subject: [PATCH 038/182] Add an initial Retrieval Augmented Generation harness notebook example --- examples/notebooks/README.md | 2 + .../RetrievalAugmentedGeneration.ipynb | 508 ++++++++++++++++++ 2 files changed, 510 insertions(+) create mode 100644 examples/notebooks/vectordb_experiments/RetrievalAugmentedGeneration.ipynb diff --git a/examples/notebooks/README.md b/examples/notebooks/README.md index b7033ea9..e3551f32 100644 --- a/examples/notebooks/README.md +++ b/examples/notebooks/README.md @@ -36,6 +36,8 @@ have something to share. ### Vector Databases +- [Retrieval Augmented Generation](vectordb_experiments/RetrievalAugmentedGeneration.ipynb) combines a vector database + experiment with LLM to evaluate the whole RAG process. - [ChromaDB Experiment](vectordb_experiments/ChromaDBExperiment.ipynb) demonstrates how to experiment with different embedding functions and query parameters of `Chroma`. The example evaluates the results by computing the ranking correlation against an expected output. diff --git a/examples/notebooks/vectordb_experiments/RetrievalAugmentedGeneration.ipynb b/examples/notebooks/vectordb_experiments/RetrievalAugmentedGeneration.ipynb new file mode 100644 index 00000000..28957d57 --- /dev/null +++ b/examples/notebooks/vectordb_experiments/RetrievalAugmentedGeneration.ipynb @@ -0,0 +1,508 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Retrieval Augmented Generation Experiment Example" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Installations" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install --quiet --force-reinstall prompttools" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup imports and API keys" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We'll import the relevant `prompttools` modules to setup our experiment." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from prompttools.experiment import ChromaDBExperiment, OpenAICompletionExperiment\n", + "from prompttools.harness import RetrievalAugmentedGenerationExperimentationHarness" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We will be using OpenAI's LLM in this example. You can set up your API key here." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "os.environ[\"OPENAI_API_KEY\"] = \"\" # Put your key here" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Setup data for ChromaDB Experiment" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are two main steps in Retrieval Augmented Generation. We will start with the retrieval step.\n", + "\n", + "First, we will setup a vector database experiment. We will insert documents the DB with different embedding functions (vectorizer), and query the results.\n", + "\n", + "For this example, we will use ChromaDB, but you use other vector databases as well.\n", + "\n", + "For detailed explanation about each step, have a look at the ChromaDB example notebook." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/torch/utils/tensorboard/__init__.py:4: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", + " if not hasattr(tensorboard, \"__version__\") or LooseVersion(\n", + "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/torch/utils/tensorboard/__init__.py:6: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", + " ) < LooseVersion(\"1.15\"):\n", + "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/tensorflow/python/debug/cli/debugger_cli_common.py:19: DeprecationWarning: module 'sre_constants' is deprecated\n", + " import sre_constants\n" + ] + } + ], + "source": [ + "import chromadb\n", + "from chromadb.utils import embedding_functions\n", + "\n", + "\n", + "emb_fns = [\n", + " embedding_functions.SentenceTransformerEmbeddingFunction(model_name=\"paraphrase-MiniLM-L3-v2\"),\n", + " embedding_functions.DefaultEmbeddingFunction(),\n", + "] # default is \"all-MiniLM-L6-v2\"\n", + "emb_fns_names = [\"paraphrase-MiniLM-L3-v2\", \"default\"]\n", + "\n", + "chroma_client = chromadb.Client()\n", + "# You can also create and use `chromadb.PersistentClient` or `chromadb.HttpClient`\n", + "TEST_COLLECTION_NAME = \"TEMPORARY_COLLECTION\"\n", + "try:\n", + " chroma_client.delete_collection(TEST_COLLECTION_NAME)\n", + "except Exception:\n", + " pass\n", + "collection_name = TEST_COLLECTION_NAME\n", + "\n", + "use_existing_collection = False # Specify that we want to create a collection during the experiment\n", + "\n", + "# Documents that will be added into the database\n", + "add_to_collection_params = {\n", + " \"documents\": [\"This is a document\", \"This is another document\", \"This is the document.\"],\n", + " \"metadatas\": [{\"source\": \"my_source\"}, {\"source\": \"my_source\"}, {\"source\": \"my_source\"}],\n", + " \"ids\": [\"id1\", \"id2\", \"id3\"],\n", + "}\n", + "\n", + "# Our test queries\n", + "query_collection_params = {\"query_texts\": [\"This is a another query document\"]} #[\"This is a query document\", \"This is a another query document\"]}\n", + "\n", + "\n", + "# Set up the experiment\n", + "vdb_experiment = ChromaDBExperiment(\n", + " chroma_client,\n", + " collection_name,\n", + " use_existing_collection,\n", + " query_collection_params,\n", + " emb_fns,\n", + " emb_fns_names,\n", + " add_to_collection_params,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can visualize the results and see what documents have been fetched." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:chromadb.segment.impl.vector.local_hnsw:Number of requested results 10 is greater than number of elements in index 3, updating n_results = 3\n", + "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/chromadb/utils/read_write_lock.py:29: DeprecationWarning: notifyAll() is deprecated, use notify_all() instead\n", + " self._read_ready.notifyAll()\n", + "WARNING:chromadb.segment.impl.vector.local_hnsw:Number of requested results 10 is greater than number of elements in index 3, updating n_results = 3\n" + ] + }, + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " embed_fn top doc ids \\\n", + "0 paraphrase-MiniLM-L3-v2 [id2, id3, id1] \n", + "1 default [id2, id1, id3] \n", + "\n", + " distances \\\n", + "0 [13.375584602355957, 16.815608978271484, 16.913410186767578] \n", + "1 [0.7673601508140564, 0.8709302544593811, 0.9072309732437134] \n", + "\n", + " documents \\\n", + "0 [This is another document, This is the document., This is a document] \n", + "1 [This is another document, This is a document, This is the document.] \n", + "\n", + " latency \n", + "0 0.00923 \n", + "1 0.02145 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "vdb_experiment.visualize()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Setup up Retrieval Augmented Generation Experiment" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After setting up your vector database experiment, we can set up the LLM experiment that will consume the documents retrieved from the vector DB. We need:\n", + "\n", + "1. LLM experiment (we will use `OpenAICompletionExperiment` here, but you can use something else as well)\n", + "2. LLM arguments (this will be passed into the LLM experiment)\n", + "3. A function to extract documents from the resuls of the vector DB experiment" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "These are the arguments we will use for our LLM experiment `OpenAICompletionExperiment`." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "models = [\"babbage-002\"]\n", + "prompts = [\"What happened on 01/01/2025?\", \"Who is the 50th president?\"]\n", + "temperatures = [0.0, 1.0]\n", + "# You can add more parameters that you'd like to test here.\n", + "\n", + "llm_arguments = {\"model\": models, \"prompt\": prompts, \"temperature\": temperatures}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This function extracts the list of documents from each row of the vector DB experiment result." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def _extract_doc_from_row(row: 'pandas.core.series.Series'):\n", + " return row['documents']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We pass in everything into the RAG experiment" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "rag_experiment = RetrievalAugmentedGenerationExperimentationHarness(\n", + " vector_db_experiment = vdb_experiment,\n", + " llm_experiment_cls = OpenAICompletionExperiment,\n", + " llm_arguments = llm_arguments,\n", + " extract_document_fn = _extract_doc_from_row,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:chromadb.segment.impl.vector.local_hnsw:Number of requested results 10 is greater than number of elements in index 3, updating n_results = 3\n", + "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/chromadb/utils/read_write_lock.py:29: DeprecationWarning: notifyAll() is deprecated, use notify_all() instead\n", + " self._read_ready.notifyAll()\n", + "WARNING:chromadb.segment.impl.vector.local_hnsw:Number of requested results 10 is greater than number of elements in index 3, updating n_results = 3\n" + ] + }, + { + "data": { + "text/html": [ + "
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John F. \n", + "7 Is he black, white or something else?\\n\\nFormat answer using the standard Scien \n", + "\n", + " latency \n", + "0 0.619368 \n", + "1 0.243747 \n", + "2 0.498184 \n", + "3 0.228347 \n", + "4 0.590188 \n", + "5 1.993902 \n", + "6 1.901117 \n", + "7 0.612549 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "rag_experiment.run()\n", + "rag_experiment.visualize()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} From 44d997c4957659f92d5213000020953e7112ad6c Mon Sep 17 00:00:00 2001 From: "Steven Krawczyk (Hegel AI)" Date: Tue, 12 Sep 2023 13:27:38 -0700 Subject: [PATCH 039/182] Add fine tuning experiment (#88) * Add fine tuning experiment * Finish example * Address comments --- examples/notebooks/FineTuningExperiment.ipynb | 873 ++++++++++++++++++ prompttools/experiment/experiments/_utils.py | 7 +- prompttools/utils/autoeval_from_expected.py | 4 +- 3 files changed, 882 insertions(+), 2 deletions(-) create mode 100644 examples/notebooks/FineTuningExperiment.ipynb diff --git a/examples/notebooks/FineTuningExperiment.ipynb b/examples/notebooks/FineTuningExperiment.ipynb new file mode 100644 index 00000000..66b75fef --- /dev/null +++ b/examples/notebooks/FineTuningExperiment.ipynb @@ -0,0 +1,873 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cf18498b", + "metadata": {}, + "source": [ + "# Fine Tuning Experiment: OpenAI's GPT-3.5 vs Llama 2 on Replicate" + ] + }, + { + "cell_type": "markdown", + "id": "888171a9", + "metadata": {}, + "source": [ + "## Introduction\n", + "\n", + "This notebook shows how to compare different fine tuned versions of the same model on OpenAI and Replicate. For this example, we'll compare GPT-3.5 to Llama 2 70b, fine tuned to generate SQL queries from natural language questions." + ] + }, + { + "cell_type": "markdown", + "id": "623f0cfe", + "metadata": {}, + "source": [ + "## Installations" + ] + }, + { + "cell_type": "markdown", + "id": "abbc7d2a", + "metadata": {}, + "source": [ + "You may need to install `prompttools`, `replicate`, and HuggingFace's `datasets` to complete this example." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "885dabeb", + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install --quiet --force-reinstall prompttools datasets replicate" + ] + }, + { + "cell_type": "markdown", + "id": "2eac35f8", + "metadata": {}, + "source": [ + "## Setup imports and API keys" + ] + }, + { + "cell_type": "markdown", + "id": "5edba05a", + "metadata": {}, + "source": [ + "First, we'll need to set our API keys. If we are in DEBUG mode, we don't need to use a real OpenAI key, so for now we'll set them to empty strings." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ed4e635e", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "os.environ[\"DEBUG\"] = \"\" # Set this to \"\" to call OpenAI's API\n", + "os.environ[\"OPENAI_API_KEY\"] = \"\" # Insert your key here" + ] + }, + { + "cell_type": "markdown", + "id": "842f1e47", + "metadata": {}, + "source": [ + "Then we'll import the relevant `prompttools` modules to setup our experiment." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "beaa70a1", + "metadata": {}, + "outputs": [], + "source": [ + "from typing import Dict, List\n", + "from datasets import load_dataset\n", + "from prompttools.experiment import OpenAIChatExperiment" + ] + }, + { + "cell_type": "markdown", + "id": "62413948", + "metadata": {}, + "source": [ + "## Preprocess Data\n", + "\n", + "For this experiment, we'll use the `wikisql` dataset from HuggingFace. We can remove some of the metadata from the inputs to create fine tuning data for gpt-3.5 and Llama 2." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "9e94cbd6", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Found cached dataset wikisql (/Users/stevenkrawczyk/.cache/huggingface/datasets/wikisql/default/0.1.0/7037bfe6a42b1ca2b6ac3ccacba5253b1825d31379e9cc626fc79a620977252d)\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c5ff2f14b48b44848f2fa1ae4ab3690c", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/3 [00:00\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a text-to-SQL helper. Given the following table, produce valid SQL to answer the user question:{'header': ['Player', 'No.', 'Nationality', 'Position', 'Years in Toronto', 'School/Club Team'], 'page_title': 'Toronto Raptors all-time roster', 'page_id': '', 'types': ['text', 'text', 'text', 'text', 'text', 'text'], 'id': '1-10015132-16', 'section_title': 'R', 'caption': 'R', 'rows': [['Aleksandar Radojević', '25', 'Serbia', 'Center', '1999-2000', 'Barton CC (KS)'], ['Shawn Respert', '31', 'United States', 'Guard', '1997-98', 'Michigan State'], ['Quentin Richardson', 'N/A', 'United States', 'Forward', '2013-present', 'DePaul'], ['Alvin Robertson', '7, 21', 'United States', 'Guard', '1995-96', 'Arkansas'], ['Carlos Rogers', '33, 34', 'United States', 'Forward-Center', '1995-98', 'Tennessee State'], ['Roy Rogers', '9', 'United States', 'Forward', '1998', 'Alabama'], ['Jalen Rose', '5', 'United States', 'Guard-Forward', '2003-06', 'Michigan'], ['Terrence Ross', '31', 'United States', 'Guard', '2012-present', 'Washington']], 'name': 'table_10015132_16'}'}, {'role': 'user', 'content': 'What is terrence ross' nationality'}]SELECT Nationality\\nFROM table_10015132_16\\nWHERE Player = 'Terrence Ross'1.120881
1ft:gpt-3.5-turbo-0613:hegel-ai::7ximyJEn[{'role': 'system', 'content': 'You are a text-to-SQL helper. Given the following table, produce valid SQL to answer the user question:{'header': ['Player', 'No.', 'Nationality', 'Position', 'Years in Toronto', 'School/Club Team'], 'page_title': 'Toronto Raptors all-time roster', 'page_id': '', 'types': ['text', 'text', 'text', 'text', 'text', 'text'], 'id': '1-10015132-16', 'section_title': 'R', 'caption': 'R', 'rows': [['Aleksandar Radojević', '25', 'Serbia', 'Center', '1999-2000', 'Barton CC (KS)'], ['Shawn Respert', '31', 'United States', 'Guard', '1997-98', 'Michigan State'], ['Quentin Richardson', 'N/A', 'United States', 'Forward', '2013-present', 'DePaul'], ['Alvin Robertson', '7, 21', 'United States', 'Guard', '1995-96', 'Arkansas'], ['Carlos Rogers', '33, 34', 'United States', 'Forward-Center', '1995-98', 'Tennessee State'], ['Roy Rogers', '9', 'United States', 'Forward', '1998', 'Alabama'], ['Jalen Rose', '5', 'United States', 'Guard-Forward', '2003-06', 'Michigan'], ['Terrence Ross', '31', 'United States', 'Guard', '2012-present', 'Washington']], 'name': 'table_10015132_16'}'}, {'role': 'user', 'content': 'What is terrence ross' nationality'}]SELECT Nationality FROM table_10015132_16 WHERE Player = Terrence Ross1.149571
\n", + "" + ], + "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 ft:gpt-3.5-turbo-0613:hegel-ai::7ximyJEn \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a text-to-SQL helper. Given the following table, produce valid SQL to answer the user question:{'header': ['Player', 'No.', 'Nationality', 'Position', 'Years in Toronto', 'School/Club Team'], 'page_title': 'Toronto Raptors all-time roster', 'page_id': '', 'types': ['text', 'text', 'text', 'text', 'text', 'text'], 'id': '1-10015132-16', 'section_title': 'R', 'caption': 'R', 'rows': [['Aleksandar Radojević', '25', 'Serbia', 'Center', '1999-2000', 'Barton CC (KS)'], ['Shawn Respert', '31', 'United States', 'Guard', '1997-98', 'Michigan State'], ['Quentin Richardson', 'N/A', 'United States', 'Forward', '2013-present', 'DePaul'], ['Alvin Robertson', '7, 21', 'United States', 'Guard', '1995-96', 'Arkansas'], ['Carlos Rogers', '33, 34', 'United States', 'Forward-Center', '1995-98', 'Tennessee State'], ['Roy Rogers', '9', 'United States', 'Forward', '1998', 'Alabama'], ['Jalen Rose', '5', 'United States', 'Guard-Forward', '2003-06', 'Michigan'], ['Terrence Ross', '31', 'United States', 'Guard', '2012-present', 'Washington']], 'name': 'table_10015132_16'}'}, {'role': 'user', 'content': 'What is terrence ross' nationality'}] \n", + "1 [{'role': 'system', 'content': 'You are a text-to-SQL helper. Given the following table, produce valid SQL to answer the user question:{'header': ['Player', 'No.', 'Nationality', 'Position', 'Years in Toronto', 'School/Club Team'], 'page_title': 'Toronto Raptors all-time roster', 'page_id': '', 'types': ['text', 'text', 'text', 'text', 'text', 'text'], 'id': '1-10015132-16', 'section_title': 'R', 'caption': 'R', 'rows': [['Aleksandar Radojević', '25', 'Serbia', 'Center', '1999-2000', 'Barton CC (KS)'], ['Shawn Respert', '31', 'United States', 'Guard', '1997-98', 'Michigan State'], ['Quentin Richardson', 'N/A', 'United States', 'Forward', '2013-present', 'DePaul'], ['Alvin Robertson', '7, 21', 'United States', 'Guard', '1995-96', 'Arkansas'], ['Carlos Rogers', '33, 34', 'United States', 'Forward-Center', '1995-98', 'Tennessee State'], ['Roy Rogers', '9', 'United States', 'Forward', '1998', 'Alabama'], ['Jalen Rose', '5', 'United States', 'Guard-Forward', '2003-06', 'Michigan'], ['Terrence Ross', '31', 'United States', 'Guard', '2012-present', 'Washington']], 'name': 'table_10015132_16'}'}, {'role': 'user', 'content': 'What is terrence ross' nationality'}] \n", + "\n", + " response \\\n", + "0 SELECT Nationality\\nFROM table_10015132_16\\nWHERE Player = 'Terrence Ross' \n", + "1 SELECT Nationality FROM table_10015132_16 WHERE Player = Terrence Ross \n", + "\n", + " latency \n", + "0 1.120881 \n", + "1 1.149571 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "experiment.visualize()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "f8f9d237", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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modelmessagesresponselatencycorrectness
0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a text-to-SQL helper. Given the following table, produce valid SQL to answer the user question:{'header': ['Player', 'No.', 'Nationality', 'Position', 'Years in Toronto', 'School/Club Team'], 'page_title': 'Toronto Raptors all-time roster', 'page_id': '', 'types': ['text', 'text', 'text', 'text', 'text', 'text'], 'id': '1-10015132-16', 'section_title': 'R', 'caption': 'R', 'rows': [['Aleksandar Radojević', '25', 'Serbia', 'Center', '1999-2000', 'Barton CC (KS)'], ['Shawn Respert', '31', 'United States', 'Guard', '1997-98', 'Michigan State'], ['Quentin Richardson', 'N/A', 'United States', 'Forward', '2013-present', 'DePaul'], ['Alvin Robertson', '7, 21', 'United States', 'Guard', '1995-96', 'Arkansas'], ['Carlos Rogers', '33, 34', 'United States', 'Forward-Center', '1995-98', 'Tennessee State'], ['Roy Rogers', '9', 'United States', 'Forward', '1998', 'Alabama'], ['Jalen Rose', '5', 'United States', 'Guard-Forward', '2003-06', 'Michigan'], ['Terrence Ross', '31', 'United States', 'Guard', '2012-present', 'Washington']], 'name': 'table_10015132_16'}'}, {'role': 'user', 'content': 'What is terrence ross' nationality'}]SELECT Nationality\\nFROM table_10015132_16\\nWHERE Player = 'Terrence Ross'1.1208810.953111
1ft:gpt-3.5-turbo-0613:hegel-ai::7ximyJEn[{'role': 'system', 'content': 'You are a text-to-SQL helper. Given the following table, produce valid SQL to answer the user question:{'header': ['Player', 'No.', 'Nationality', 'Position', 'Years in Toronto', 'School/Club Team'], 'page_title': 'Toronto Raptors all-time roster', 'page_id': '', 'types': ['text', 'text', 'text', 'text', 'text', 'text'], 'id': '1-10015132-16', 'section_title': 'R', 'caption': 'R', 'rows': [['Aleksandar Radojević', '25', 'Serbia', 'Center', '1999-2000', 'Barton CC (KS)'], ['Shawn Respert', '31', 'United States', 'Guard', '1997-98', 'Michigan State'], ['Quentin Richardson', 'N/A', 'United States', 'Forward', '2013-present', 'DePaul'], ['Alvin Robertson', '7, 21', 'United States', 'Guard', '1995-96', 'Arkansas'], ['Carlos Rogers', '33, 34', 'United States', 'Forward-Center', '1995-98', 'Tennessee State'], ['Roy Rogers', '9', 'United States', 'Forward', '1998', 'Alabama'], ['Jalen Rose', '5', 'United States', 'Guard-Forward', '2003-06', 'Michigan'], ['Terrence Ross', '31', 'United States', 'Guard', '2012-present', 'Washington']], 'name': 'table_10015132_16'}'}, {'role': 'user', 'content': 'What is terrence ross' nationality'}]SELECT Nationality FROM table_10015132_16 WHERE Player = Terrence Ross1.1495710.952774
\n", + "
" + ], + "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 ft:gpt-3.5-turbo-0613:hegel-ai::7ximyJEn \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a text-to-SQL helper. Given the following table, produce valid SQL to answer the user question:{'header': ['Player', 'No.', 'Nationality', 'Position', 'Years in Toronto', 'School/Club Team'], 'page_title': 'Toronto Raptors all-time roster', 'page_id': '', 'types': ['text', 'text', 'text', 'text', 'text', 'text'], 'id': '1-10015132-16', 'section_title': 'R', 'caption': 'R', 'rows': [['Aleksandar Radojević', '25', 'Serbia', 'Center', '1999-2000', 'Barton CC (KS)'], ['Shawn Respert', '31', 'United States', 'Guard', '1997-98', 'Michigan State'], ['Quentin Richardson', 'N/A', 'United States', 'Forward', '2013-present', 'DePaul'], ['Alvin Robertson', '7, 21', 'United States', 'Guard', '1995-96', 'Arkansas'], ['Carlos Rogers', '33, 34', 'United States', 'Forward-Center', '1995-98', 'Tennessee State'], ['Roy Rogers', '9', 'United States', 'Forward', '1998', 'Alabama'], ['Jalen Rose', '5', 'United States', 'Guard-Forward', '2003-06', 'Michigan'], ['Terrence Ross', '31', 'United States', 'Guard', '2012-present', 'Washington']], 'name': 'table_10015132_16'}'}, {'role': 'user', 'content': 'What is terrence ross' nationality'}] \n", + "1 [{'role': 'system', 'content': 'You are a text-to-SQL helper. Given the following table, produce valid SQL to answer the user question:{'header': ['Player', 'No.', 'Nationality', 'Position', 'Years in Toronto', 'School/Club Team'], 'page_title': 'Toronto Raptors all-time roster', 'page_id': '', 'types': ['text', 'text', 'text', 'text', 'text', 'text'], 'id': '1-10015132-16', 'section_title': 'R', 'caption': 'R', 'rows': [['Aleksandar Radojević', '25', 'Serbia', 'Center', '1999-2000', 'Barton CC (KS)'], ['Shawn Respert', '31', 'United States', 'Guard', '1997-98', 'Michigan State'], ['Quentin Richardson', 'N/A', 'United States', 'Forward', '2013-present', 'DePaul'], ['Alvin Robertson', '7, 21', 'United States', 'Guard', '1995-96', 'Arkansas'], ['Carlos Rogers', '33, 34', 'United States', 'Forward-Center', '1995-98', 'Tennessee State'], ['Roy Rogers', '9', 'United States', 'Forward', '1998', 'Alabama'], ['Jalen Rose', '5', 'United States', 'Guard-Forward', '2003-06', 'Michigan'], ['Terrence Ross', '31', 'United States', 'Guard', '2012-present', 'Washington']], 'name': 'table_10015132_16'}'}, {'role': 'user', 'content': 'What is terrence ross' nationality'}] \n", + "\n", + " response \\\n", + "0 SELECT Nationality\\nFROM table_10015132_16\\nWHERE Player = 'Terrence Ross' \n", + "1 SELECT Nationality FROM table_10015132_16 WHERE Player = Terrence Ross \n", + "\n", + " latency correctness \n", + "0 1.120881 0.953111 \n", + "1 1.149571 0.952774 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from prompttools.utils import similarity\n", + "experiment.evaluate(\"correctness\", similarity.semantic_similarity, expected=[filtered_test_set[0]['sql']['human_readable']] * 2)\n", + "experiment.visualize()" + ] + }, + { + "cell_type": "markdown", + "id": "8661eb8d", + "metadata": {}, + "source": [ + "For our example, both the base model and fine tuned model do a good job at returning only SQL, but the tuned model is marginally closer to the correct answer and has better syntax." + ] + }, + { + "cell_type": "markdown", + "id": "50edd181", + "metadata": {}, + "source": [ + "# Replicate: Llama 2 70 B\n", + "\n", + "Since Llama 2 has a smaller context window, will restict the size of the rows we use for fine-tuning from the original set." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ce96473c", + "metadata": {}, + "outputs": [], + "source": [ + "filtered_tuning_set = [entry for entry in tuning_set if len(str(entry['table'])) < 2000]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4eadc98f", + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "\n", + "replicate_fine_tuning_rows = []\n", + "for entry in filtered_tuning_set:\n", + " current_row = {'prompt': entry['question'] + \\\n", + " \"\\nGiven the following table, produce \" + \\\n", + " \"valid SQL to answer the question:\" + \\\n", + " str(entry['table']) ,\n", + " 'completion': entry['sql']}\n", + " replicate_fine_tuning_rows.append(current_row)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "99be8ebb", + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "for row in replicate_fine_tuning_rows:\n", + " with open('replicate_fine_tuning_rows.jsonl', 'a') as f:\n", + " f.write(json.dumps(row) + '\\n')" + ] + }, + { + "cell_type": "markdown", + "id": "7425c7fd", + "metadata": {}, + "source": [ + "## Run fine tuning\n", + "\n", + "For replicate, you will need to upload your fine-tuning rows to an accessible URL. For our example, we uploaded the file to an S3 bucket and used a signed URL to provide access.\n", + "\n", + "The fine tuning may take a few hours." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "89554c1e", + "metadata": {}, + "outputs": [], + "source": [ + "import replicate\n", + "\n", + "os.environ[\"REPLICATE_API_TOKEN\"] = \"\"\n", + "\n", + "base_model = \"meta/llama-2-70b-chat:35042c9a33ac8fd5e29e27fb3197f33aa483f72c2ce3b0b9d201155c7fd2a287\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "eb1a3e49", + "metadata": {}, + "outputs": [], + "source": [ + "training = replicate.trainings.create(\n", + " version=base_model,\n", + " input={\n", + " \"train_data\": \"S3-URL-HERE\",\n", + " },\n", + " destination=\"YOUR-REPLICATE-ID/prompttools-example\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "42af9b1b", + "metadata": {}, + "source": [ + "Wait for the fine tuning job to finish, then test that the model works." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e7ef8b97", + "metadata": {}, + "outputs": [], + "source": [ + "training.reload()\n", + "if training.status == \"succeeded\":\n", + " print(training.output)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d983af5b", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "output = replicate.run(\n", + " training.output[\"version\"],\n", + " input={\"prompt\": filtered_tuning_set[0]['question'] + \\\n", + " \"\\nGiven the following table, produce \" + \\\n", + " \"valid SQL to answer the question:\" + \\\n", + " str(filtered_tuning_set[0]['table'])}\n", + ")\n", + "for s in output:\n", + " print(s, end=\"\", flush=True)" + ] + }, + { + "cell_type": "markdown", + "id": "a9a1da83", + "metadata": {}, + "source": [ + "## Compared tuned Llama model to base model\n", + "\n", + "Now, we can set up a replicate experiment between the fine tuned and base Llama models." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "9dbe7781", + "metadata": {}, + "outputs": [], + "source": [ + "from prompttools.experiment import ReplicateExperiment\n", + "llama = \"YOUR-REPLICATE-ID/prompttools-example:VERSION\"\n", + "models = [llama, base_model]\n", + "input_kwargs = {\"prompt\": [filtered_test_set[0]['question'] + \\\n", + " \"\\nGiven the following table, produce \" + \\\n", + " \"valid SQL to answer the question:\" + \\\n", + " str(filtered_test_set[0]['table'])]}\n", + "model_specific_kwargs = {llama: {}, base_model: {}}\n", + "\n", + "replicate_experiment = ReplicateExperiment(models, input_kwargs, model_specific_kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "d3d1ec3f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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model_versionpromptresponselatency
0hegelai/llama-test-large:bb9b696ca41ac10be77c786fdad0f7c17ed80a67dc14879ca66ec02f4d5e8cafWhat is terrence ross' nationality\\nGiven the following table, produce valid SQL to answer the question:{'header': ['Player', 'No.', 'Nationality', 'Position', 'Years in Toronto', 'School/Club Team'], 'page_title': 'Toronto Raptors all-time roster', 'page_id': '', 'types': ['text', 'text', 'text', 'text', 'text', 'text'], 'id': '1-10015132-16', 'section_title': 'R', 'caption': 'R', 'rows': [['Aleksandar Radojević', '25', 'Serbia', 'Center', '1999-2000', 'Barton CC (KS)'], ['Shawn Respert', '31', 'United States', 'Guard', '1997-98', 'Michigan State'], ['Quentin Richardson', 'N/A', 'United States', 'Forward', '2013-present', 'DePaul'], ['Alvin Robertson', '7, 21', 'United States', 'Guard', '1995-96', 'Arkansas'], ['Carlos Rogers', '33, 34', 'United States', 'Forward-Center', '1995-98', 'Tennessee State'], ['Roy Rogers', '9', 'United States', 'Forward', '1998', 'Alabama'], ['Jalen Rose', '5', 'United States', 'Guard-Forward', '2003-06', 'Michigan'], ['Terrence Ross', '31', 'United States', 'Guard', '2012-present', 'Washington']], 'name': 'table_10015132_16'}SELECT Nationality FROM table_ SELECT Nationality FROM table_1001513 SELECT Nationality FROM table_10015132_16 WHERE Player = Nationality FROM table_10015132_16 WHERE Player = 'Terrence Ross'; Nationality FROM table_10015132_16 WHERE Player = 'Terrence Ross';0.291232
1meta/llama-2-70b-chat:35042c9a33ac8fd5e29e27fb3197f33aa483f72c2ce3b0b9d201155c7fd2a287What is terrence ross' nationality\\nGiven the following table, produce valid SQL to answer the question:{'header': ['Player', 'No.', 'Nationality', 'Position', 'Years in Toronto', 'School/Club Team'], 'page_title': 'Toronto Raptors all-time roster', 'page_id': '', 'types': ['text', 'text', 'text', 'text', 'text', 'text'], 'id': '1-10015132-16', 'section_title': 'R', 'caption': 'R', 'rows': [['Aleksandar Radojević', '25', 'Serbia', 'Center', '1999-2000', 'Barton CC (KS)'], ['Shawn Respert', '31', 'United States', 'Guard', '1997-98', 'Michigan State'], ['Quentin Richardson', 'N/A', 'United States', 'Forward', '2013-present', 'DePaul'], ['Alvin Robertson', '7, 21', 'United States', 'Guard', '1995-96', 'Arkansas'], ['Carlos Rogers', '33, 34', 'United States', 'Forward-Center', '1995-98', 'Tennessee State'], ['Roy Rogers', '9', 'United States', 'Forward', '1998', 'Alabama'], ['Jalen Rose', '5', 'United States', 'Guard-Forward', '2003-06', 'Michigan'], ['Terrence Ross', '31', 'United States', 'Guard', '2012-present', 'Washington']], 'name': 'table_10015132_16'}The nationality of Terrence Ross is United States.0.302811
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" + ], + "text/plain": [ + " model_version \\\n", + "0 hegelai/llama-test-large:bb9b696ca41ac10be77c786fdad0f7c17ed80a67dc14879ca66ec02f4d5e8caf \n", + "1 meta/llama-2-70b-chat:35042c9a33ac8fd5e29e27fb3197f33aa483f72c2ce3b0b9d201155c7fd2a287 \n", + "\n", + " prompt \\\n", + "0 What is terrence ross' nationality\\nGiven the following table, produce valid SQL to answer the question:{'header': ['Player', 'No.', 'Nationality', 'Position', 'Years in Toronto', 'School/Club Team'], 'page_title': 'Toronto Raptors all-time roster', 'page_id': '', 'types': ['text', 'text', 'text', 'text', 'text', 'text'], 'id': '1-10015132-16', 'section_title': 'R', 'caption': 'R', 'rows': [['Aleksandar Radojević', '25', 'Serbia', 'Center', '1999-2000', 'Barton CC (KS)'], ['Shawn Respert', '31', 'United States', 'Guard', '1997-98', 'Michigan State'], ['Quentin Richardson', 'N/A', 'United States', 'Forward', '2013-present', 'DePaul'], ['Alvin Robertson', '7, 21', 'United States', 'Guard', '1995-96', 'Arkansas'], ['Carlos Rogers', '33, 34', 'United States', 'Forward-Center', '1995-98', 'Tennessee State'], ['Roy Rogers', '9', 'United States', 'Forward', '1998', 'Alabama'], ['Jalen Rose', '5', 'United States', 'Guard-Forward', '2003-06', 'Michigan'], ['Terrence Ross', '31', 'United States', 'Guard', '2012-present', 'Washington']], 'name': 'table_10015132_16'} \n", + "1 What is terrence ross' nationality\\nGiven the following table, produce valid SQL to answer the question:{'header': ['Player', 'No.', 'Nationality', 'Position', 'Years in Toronto', 'School/Club Team'], 'page_title': 'Toronto Raptors all-time roster', 'page_id': '', 'types': ['text', 'text', 'text', 'text', 'text', 'text'], 'id': '1-10015132-16', 'section_title': 'R', 'caption': 'R', 'rows': [['Aleksandar Radojević', '25', 'Serbia', 'Center', '1999-2000', 'Barton CC (KS)'], ['Shawn Respert', '31', 'United States', 'Guard', '1997-98', 'Michigan State'], ['Quentin Richardson', 'N/A', 'United States', 'Forward', '2013-present', 'DePaul'], ['Alvin Robertson', '7, 21', 'United States', 'Guard', '1995-96', 'Arkansas'], ['Carlos Rogers', '33, 34', 'United States', 'Forward-Center', '1995-98', 'Tennessee State'], ['Roy Rogers', '9', 'United States', 'Forward', '1998', 'Alabama'], ['Jalen Rose', '5', 'United States', 'Guard-Forward', '2003-06', 'Michigan'], ['Terrence Ross', '31', 'United States', 'Guard', '2012-present', 'Washington']], 'name': 'table_10015132_16'} \n", + "\n", + " response \\\n", + "0 SELECT Nationality FROM table_ SELECT Nationality FROM table_1001513 SELECT Nationality FROM table_10015132_16 WHERE Player = Nationality FROM table_10015132_16 WHERE Player = 'Terrence Ross'; Nationality FROM table_10015132_16 WHERE Player = 'Terrence Ross'; \n", + "1 The nationality of Terrence Ross is United States. \n", + "\n", + " latency \n", + "0 0.291232 \n", + "1 0.302811 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "replicate_experiment.run()\n", + "replicate_experiment.visualize()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "85b46291", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
model_versionpromptresponselatencycorrectness
0hegelai/llama-test-large:bb9b696ca41ac10be77c786fdad0f7c17ed80a67dc14879ca66ec02f4d5e8cafWhat is terrence ross' nationality\\nGiven the following table, produce valid SQL to answer the question:{'header': ['Player', 'No.', 'Nationality', 'Position', 'Years in Toronto', 'School/Club Team'], 'page_title': 'Toronto Raptors all-time roster', 'page_id': '', 'types': ['text', 'text', 'text', 'text', 'text', 'text'], 'id': '1-10015132-16', 'section_title': 'R', 'caption': 'R', 'rows': [['Aleksandar Radojević', '25', 'Serbia', 'Center', '1999-2000', 'Barton CC (KS)'], ['Shawn Respert', '31', 'United States', 'Guard', '1997-98', 'Michigan State'], ['Quentin Richardson', 'N/A', 'United States', 'Forward', '2013-present', 'DePaul'], ['Alvin Robertson', '7, 21', 'United States', 'Guard', '1995-96', 'Arkansas'], ['Carlos Rogers', '33, 34', 'United States', 'Forward-Center', '1995-98', 'Tennessee State'], ['Roy Rogers', '9', 'United States', 'Forward', '1998', 'Alabama'], ['Jalen Rose', '5', 'United States', 'Guard-Forward', '2003-06', 'Michigan'], ['Terrence Ross', '31', 'United States', 'Guard', '2012-present', 'Washington']], 'name': 'table_10015132_16'}SELECT Nationality FROM table_ SELECT Nationality FROM table_1001513 SELECT Nationality FROM table_10015132_16 WHERE Player = Nationality FROM table_10015132_16 WHERE Player = 'Terrence Ross'; Nationality FROM table_10015132_16 WHERE Player = 'Terrence Ross';0.2912320.818023
1meta/llama-2-70b-chat:35042c9a33ac8fd5e29e27fb3197f33aa483f72c2ce3b0b9d201155c7fd2a287What is terrence ross' nationality\\nGiven the following table, produce valid SQL to answer the question:{'header': ['Player', 'No.', 'Nationality', 'Position', 'Years in Toronto', 'School/Club Team'], 'page_title': 'Toronto Raptors all-time roster', 'page_id': '', 'types': ['text', 'text', 'text', 'text', 'text', 'text'], 'id': '1-10015132-16', 'section_title': 'R', 'caption': 'R', 'rows': [['Aleksandar Radojević', '25', 'Serbia', 'Center', '1999-2000', 'Barton CC (KS)'], ['Shawn Respert', '31', 'United States', 'Guard', '1997-98', 'Michigan State'], ['Quentin Richardson', 'N/A', 'United States', 'Forward', '2013-present', 'DePaul'], ['Alvin Robertson', '7, 21', 'United States', 'Guard', '1995-96', 'Arkansas'], ['Carlos Rogers', '33, 34', 'United States', 'Forward-Center', '1995-98', 'Tennessee State'], ['Roy Rogers', '9', 'United States', 'Forward', '1998', 'Alabama'], ['Jalen Rose', '5', 'United States', 'Guard-Forward', '2003-06', 'Michigan'], ['Terrence Ross', '31', 'United States', 'Guard', '2012-present', 'Washington']], 'name': 'table_10015132_16'}The nationality of Terrence Ross is United States.0.3028110.562899
\n", + "
" + ], + "text/plain": [ + " model_version \\\n", + "0 hegelai/llama-test-large:bb9b696ca41ac10be77c786fdad0f7c17ed80a67dc14879ca66ec02f4d5e8caf \n", + "1 meta/llama-2-70b-chat:35042c9a33ac8fd5e29e27fb3197f33aa483f72c2ce3b0b9d201155c7fd2a287 \n", + "\n", + " prompt \\\n", + "0 What is terrence ross' nationality\\nGiven the following table, produce valid SQL to answer the question:{'header': ['Player', 'No.', 'Nationality', 'Position', 'Years in Toronto', 'School/Club Team'], 'page_title': 'Toronto Raptors all-time roster', 'page_id': '', 'types': ['text', 'text', 'text', 'text', 'text', 'text'], 'id': '1-10015132-16', 'section_title': 'R', 'caption': 'R', 'rows': [['Aleksandar Radojević', '25', 'Serbia', 'Center', '1999-2000', 'Barton CC (KS)'], ['Shawn Respert', '31', 'United States', 'Guard', '1997-98', 'Michigan State'], ['Quentin Richardson', 'N/A', 'United States', 'Forward', '2013-present', 'DePaul'], ['Alvin Robertson', '7, 21', 'United States', 'Guard', '1995-96', 'Arkansas'], ['Carlos Rogers', '33, 34', 'United States', 'Forward-Center', '1995-98', 'Tennessee State'], ['Roy Rogers', '9', 'United States', 'Forward', '1998', 'Alabama'], ['Jalen Rose', '5', 'United States', 'Guard-Forward', '2003-06', 'Michigan'], ['Terrence Ross', '31', 'United States', 'Guard', '2012-present', 'Washington']], 'name': 'table_10015132_16'} \n", + "1 What is terrence ross' nationality\\nGiven the following table, produce valid SQL to answer the question:{'header': ['Player', 'No.', 'Nationality', 'Position', 'Years in Toronto', 'School/Club Team'], 'page_title': 'Toronto Raptors all-time roster', 'page_id': '', 'types': ['text', 'text', 'text', 'text', 'text', 'text'], 'id': '1-10015132-16', 'section_title': 'R', 'caption': 'R', 'rows': [['Aleksandar Radojević', '25', 'Serbia', 'Center', '1999-2000', 'Barton CC (KS)'], ['Shawn Respert', '31', 'United States', 'Guard', '1997-98', 'Michigan State'], ['Quentin Richardson', 'N/A', 'United States', 'Forward', '2013-present', 'DePaul'], ['Alvin Robertson', '7, 21', 'United States', 'Guard', '1995-96', 'Arkansas'], ['Carlos Rogers', '33, 34', 'United States', 'Forward-Center', '1995-98', 'Tennessee State'], ['Roy Rogers', '9', 'United States', 'Forward', '1998', 'Alabama'], ['Jalen Rose', '5', 'United States', 'Guard-Forward', '2003-06', 'Michigan'], ['Terrence Ross', '31', 'United States', 'Guard', '2012-present', 'Washington']], 'name': 'table_10015132_16'} \n", + "\n", + " response \\\n", + "0 SELECT Nationality FROM table_ SELECT Nationality FROM table_1001513 SELECT Nationality FROM table_10015132_16 WHERE Player = Nationality FROM table_10015132_16 WHERE Player = 'Terrence Ross'; Nationality FROM table_10015132_16 WHERE Player = 'Terrence Ross'; \n", + "1 The nationality of Terrence Ross is United States. \n", + "\n", + " latency correctness \n", + "0 0.291232 0.818023 \n", + "1 0.302811 0.562899 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "replicate_experiment.evaluate(\"correctness\", similarity.semantic_similarity, expected=[filtered_test_set[0]['sql']['human_readable']] * 2)\n", + "replicate_experiment.visualize()" + ] + }, + { + "cell_type": "markdown", + "id": "3ccb76a7", + "metadata": {}, + "source": [ + "Our fine tuned model did significantly better than the base model at producing SQL in response to the prompt, but neither is as good as gpt-3.5 base or fine tuned." + ] + }, + { + "cell_type": "markdown", + "id": "a0a3b461", + "metadata": {}, + "source": [ + "# Conclusion\n", + "\n", + "GPT-3.5 does better at producing SQL, especially when fine tuned. One advantage is the larger context window, which allows us to tune on larger SQL tables and provide more context at query time. Another advantage is the power of the underlying model, which is already quite good at the task." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "587efa63", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/prompttools/experiment/experiments/_utils.py b/prompttools/experiment/experiments/_utils.py index f9a7e329..5bbff953 100644 --- a/prompttools/experiment/experiments/_utils.py +++ b/prompttools/experiment/experiments/_utils.py @@ -41,4 +41,9 @@ def _get_dynamic_columns(df: pd.DataFrame) -> pd.DataFrame: unique_counts = df[hashable_columns].nunique() columns_with_multiple_unique_values = unique_counts[unique_counts > 1].index - return pd.concat([df[columns_with_multiple_unique_values], df[unhashable_columns]], axis=1) + dfs_to_concat = [df[columns_with_multiple_unique_values], df[unhashable_columns]] + if 'prompt' in df and 'prompt' not in dfs_to_concat: + dfs_to_concat.append(df['prompt']) + elif 'messages' in df and 'messages' not in dfs_to_concat: + dfs_to_concat.append(df['messages']) + return pd.concat(dfs_to_concat, axis=1) diff --git a/prompttools/utils/autoeval_from_expected.py b/prompttools/utils/autoeval_from_expected.py index db686afd..88618e0f 100644 --- a/prompttools/utils/autoeval_from_expected.py +++ b/prompttools/utils/autoeval_from_expected.py @@ -14,7 +14,10 @@ EVALUATION_SYSTEM_PROMPT = """ You are a grader evaluating responses to math questions. Given the PROMPT and EXPECTED, evaluate the ACTUAL answer. +The ACTUAL answer should be the same as the EXPECTED. You should grade the response as either RIGHT or WRONG. +If the ACTUAL answer is the same as the EXPECTED, mark it RIGHT. +Otherwise, mark it WRONG. """ EVALUATION_USER_TEMPLATE = """ @@ -35,7 +38,6 @@ def _get_messages(prompt: str, expected: str, response: str): ] -# TODO: Should this be removed since no one is using it? def compute(prompt: str, expected: str, response: str, model: str = "gpt-4") -> float: r""" Uses a high quality chat model, like GPT-4, to automatically evaluate a given From c463a724e200cac7bd99a526b1c96fc76ae1d018 Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 13 Sep 2023 23:49:29 -0700 Subject: [PATCH 040/182] Change experiment `_is_chat` to static methods --- prompttools/experiment/experiments/experiment.py | 16 ++++++++++++---- .../experiments/openai_chat_experiment.py | 3 ++- 2 files changed, 14 insertions(+), 5 deletions(-) diff --git a/prompttools/experiment/experiments/experiment.py b/prompttools/experiment/experiments/experiment.py index 4a906ee2..3763805d 100644 --- a/prompttools/experiment/experiments/experiment.py +++ b/prompttools/experiment/experiments/experiment.py @@ -96,7 +96,8 @@ def initialize(cls, test_parameters: dict[str, list], frozen_parameters: dict): frozen_parameters = {k: [v] for k, v in frozen_parameters.items()} return cls(**test_parameters, **frozen_parameters) - def _is_chat(self): + @staticmethod + def _is_chat(): return False # def _get_human_eval_listener(self, i: int) -> Callable: @@ -305,13 +306,20 @@ def cv2_image_to_base64(self, image): "Package `cv2` is required to be installed to use this experiment." "Please use `pip opencv-python` to install the package" ) - _, buffer = cv2.imencode('.png', image) - return base64.b64encode(buffer).decode('utf-8') + _, buffer = cv2.imencode(".png", image) + return base64.b64encode(buffer).decode("utf-8") def display_image_html(self, base64_string): return f'' - def evaluate(self, metric_name: str, eval_fn: Callable, static_eval_fn_kwargs: dict = {}, image_experiment: bool = False, **eval_fn_kwargs) -> None: + def evaluate( + self, + metric_name: str, + eval_fn: Callable, + static_eval_fn_kwargs: dict = {}, + image_experiment: bool = False, + **eval_fn_kwargs, + ) -> None: """ Using the given evaluation function that accepts a row of data, compute a new column with the evaluation result. Each row of data generally contain inputs, model response, and other previously computed metrics. diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index 21828beb..f8a7226c 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -159,7 +159,8 @@ def _extract_responses(output: Dict[str, object]) -> str: else: return message["content"] - def _is_chat(self): + @staticmethod + def _is_chat(): return True def _get_model_names(self): From c2f8239496d8fb3b482af67e12d773c520f2f887 Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 14 Sep 2023 16:10:35 -0700 Subject: [PATCH 041/182] Fix `ValueError: The truth value of a DataFrame is ambiguous` when checking for duplicate column names --- prompttools/experiment/experiments/_utils.py | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) diff --git a/prompttools/experiment/experiments/_utils.py b/prompttools/experiment/experiments/_utils.py index 5bbff953..6db7f2f0 100644 --- a/prompttools/experiment/experiments/_utils.py +++ b/prompttools/experiment/experiments/_utils.py @@ -42,8 +42,16 @@ def _get_dynamic_columns(df: pd.DataFrame) -> pd.DataFrame: unique_counts = df[hashable_columns].nunique() columns_with_multiple_unique_values = unique_counts[unique_counts > 1].index dfs_to_concat = [df[columns_with_multiple_unique_values], df[unhashable_columns]] - if 'prompt' in df and 'prompt' not in dfs_to_concat: - dfs_to_concat.append(df['prompt']) - elif 'messages' in df and 'messages' not in dfs_to_concat: - dfs_to_concat.append(df['messages']) + if ( + "prompt" in df + and "prompt" not in df[columns_with_multiple_unique_values] + and "prompt" not in df[unhashable_columns] + ): + dfs_to_concat.append(df["prompt"]) + elif ( + "messages" in df + and "messages" not in df[columns_with_multiple_unique_values] + and "messages" not in df[unhashable_columns] + ): + dfs_to_concat.append(df["messages"]) return pd.concat(dfs_to_concat, axis=1) From 6cd6061b2b2ecf86140fa16c7b207bc175f71a22 Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 14 Sep 2023 16:30:50 -0700 Subject: [PATCH 042/182] Update RAG harness to work with chat models as well --- prompttools/harness/rag_harness.py | 31 ++++++++++++++++++++---------- 1 file changed, 21 insertions(+), 10 deletions(-) diff --git a/prompttools/harness/rag_harness.py b/prompttools/harness/rag_harness.py index ee0f8c11..98eea5da 100644 --- a/prompttools/harness/rag_harness.py +++ b/prompttools/harness/rag_harness.py @@ -4,14 +4,13 @@ # This source code's license can be found in the # LICENSE file in the root directory of this source tree. -from typing import Optional, Type, Callable +from typing import Optional, Type, Callable, Union import jinja2 from .harness import ExperimentationHarness, Experiment import copy -DOC_PROMPT_TEMPLATE = r""" -Given these documents:{{documents}} +DOC_PROMPT_TEMPLATE = r"""Given these documents:{{documents}} {{prompt}} """ @@ -25,7 +24,11 @@ def _doc_list_to_str(documents: list[str]) -> str: return res -def _generate_doc_prompt(documents: list[str], prompt: str): +def _generate_doc_prompt(documents: list[str], prompt_or_msg: Union[str, list[dict[str, str]]], is_chat: bool): + if not is_chat: + prompt = prompt_or_msg + else: # You have a chat message object + prompt = prompt_or_msg[-1]["content"] environment = jinja2.Environment() template = environment.from_string(DOC_PROMPT_TEMPLATE) doc_str = _doc_list_to_str(documents) @@ -36,7 +39,12 @@ def _generate_doc_prompt(documents: list[str], prompt: str): "prompt": prompt, } ) - return doc_prompt + if not is_chat: + return doc_prompt + else: + new_msg = copy.copy(prompt_or_msg) + new_msg[-1]["content"] = doc_prompt + return new_msg class RetrievalAugmentedGenerationExperimentationHarness(ExperimentationHarness): @@ -77,21 +85,24 @@ def run(self) -> None: for i, row in self.vector_db_experiment.full_df.iterrows(): document_lists.append(self.extract_document_fn(row)) # latencies.append(row["latencies"]) + # Put documents into prompt template augmented_prompts = [] + is_chat = self.llm_experiment_cls._is_chat() + input_arg_name = "messages" if is_chat else "prompt" for doc in document_lists: - for prompt in self.llm_arguments["prompt"]: # TODO: Make this work for chat, check `experiment._is_chat()` - augmented_prompts.append(_generate_doc_prompt(doc, prompt)) + for prompt_or_msg in self.llm_arguments[input_arg_name]: + augmented_prompts.append(_generate_doc_prompt(doc, prompt_or_msg, is_chat)) # Pass documents into LLM - self.llm_arguments["prompt"]: list[str] = augmented_prompts + self.llm_arguments[input_arg_name]: list[str] = augmented_prompts self.experiment = self.llm_experiment_cls(**self.llm_arguments) # Run the LLM experiment self.experiment.run() - # TODO: Need to clean up results, ideally display these columns ("top doc ids", "prompt") + # TODO: We can clean up results for visualization, ideally show these columns ("top doc ids", "prompt") # Right now it is displaying the fully augmented prompt for every row, which take up too much space - # Permutation ordering (doc_list1, prompt, then other arguments) + # Note: Permutation ordering (doc_list1, prompt, then other arguments) self.partial_df = self.experiment.partial_df self.full_df = self.experiment.full_df From ecd7425e42331ac6315104c4dfb71a0a9fbc0609 Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 14 Sep 2023 16:31:09 -0700 Subject: [PATCH 043/182] Update RAG notebook example --- .../RetrievalAugmentedGeneration.ipynb | 477 +++++++++++++++--- 1 file changed, 414 insertions(+), 63 deletions(-) diff --git a/examples/notebooks/vectordb_experiments/RetrievalAugmentedGeneration.ipynb b/examples/notebooks/vectordb_experiments/RetrievalAugmentedGeneration.ipynb index 28957d57..4122bd87 100644 --- a/examples/notebooks/vectordb_experiments/RetrievalAugmentedGeneration.ipynb +++ b/examples/notebooks/vectordb_experiments/RetrievalAugmentedGeneration.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -39,11 +39,11 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ - "from prompttools.experiment import ChromaDBExperiment, OpenAICompletionExperiment\n", + "from prompttools.experiment import ChromaDBExperiment, OpenAICompletionExperiment, OpenAIChatExperiment\n", "from prompttools.harness import RetrievalAugmentedGenerationExperimentationHarness" ] }, @@ -56,7 +56,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -87,7 +87,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -157,7 +157,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -205,7 +205,7 @@ " [id2, id3, id1]\n", " [13.375584602355957, 16.815608978271484, 16.913410186767578]\n", " [This is another document, This is the document., This is a document]\n", - " 0.00923\n", + " 0.008317\n", " \n", " \n", " 1\n", @@ -213,7 +213,7 @@ " [id2, id1, id3]\n", " [0.7673601508140564, 0.8709302544593811, 0.9072309732437134]\n", " [This is another document, This is a document, This is the document.]\n", - " 0.02145\n", + " 0.022273\n", " \n", " \n", "\n", @@ -232,9 +232,9 @@ "0 [This is another document, This is the document., This is a document] \n", "1 [This is another document, This is a document, This is the document.] \n", "\n", - " latency \n", - "0 0.00923 \n", - "1 0.02145 " + " latency \n", + "0 0.008317 \n", + "1 0.022273 " ] }, "metadata": {}, @@ -267,16 +267,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "These are the arguments we will use for our LLM experiment `OpenAICompletionExperiment`." + "These are the arguments we will use for our LLM experiment `OpenAICompletionExperiment`. For an example with `OpenAIChatExperiment` (that uses `gpt-3.5-turbo`, scroll further below)." ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ - "models = [\"babbage-002\"]\n", + "models = [\"babbage-002\"] # If you want to use \"gpt-3,5-turbo\", look further below for an example\n", "prompts = [\"What happened on 01/01/2025?\", \"Who is the 50th president?\"]\n", "temperatures = [0.0, 1.0]\n", "# You can add more parameters that you'd like to test here.\n", @@ -293,7 +293,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -367,74 +367,74 @@ " \n", " \n", " 0\n", - " \\nGiven these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWhat happened on 01/01/2025?\n", + " Given these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWhat happened on 01/01/2025?\n", " 0.0\n", " \\nThis is a document\\nThis is a document\\nThis is a document\\n\n", - " 0.619368\n", + " 0.319791\n", " \n", " \n", " 1\n", - " \\nGiven these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWhat happened on 01/01/2025?\n", + " Given these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWhat happened on 01/01/2025?\n", " 1.0\n", - " (What everybody in the world thought about the year 2019 in theis\n", - " 0.243747\n", + " \\n\\nReferences in the Notes on this topic contain only a text, not the entire\n", + " 0.195658\n", " \n", " \n", " 2\n", - " \\nGiven these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWho is the 50th president?\n", + " Given these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWho is the 50th president?\n", " 0.0\n", " \\nA. George Washington\\nB. Abraham Lincoln\\nC. John F.\n", - " 0.498184\n", + " 0.204074\n", " \n", " \n", " 3\n", - " \\nGiven these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWho is the 50th president?\n", + " Given these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWho is the 50th president?\n", " 1.0\n", - " And how do you know? You don't. The problem doesn't lie in\n", - " 0.228347\n", + " There are 31 documents.\\n 25\\nSimon is a 67-year-old\n", + " 0.193998\n", " \n", " \n", " 4\n", - " \\nGiven these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWhat happened on 01/01/2025?\n", + " Given these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWhat happened on 01/01/2025?\n", " 0.0\n", - " \\nThis is the document\\nThis is another document\\nThis is a document\\n\n", - " 0.590188\n", + " The first document is the same as the second document, but the second document is\n", + " 0.216036\n", " \n", " \n", " 5\n", - " \\nGiven these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWhat happened on 01/01/2025?\n", + " Given these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWhat happened on 01/01/2025?\n", " 1.0\n", - " There are N similar days. You can use the cloud function to calculate the date\n", - " 1.993902\n", + " Let's STO(1) see.\\n```\\nAssetWare::STO\n", + " 0.201545\n", " \n", " \n", " 6\n", - " \\nGiven these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWho is the 50th president?\n", + " Given these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWho is the 50th president?\n", " 0.0\n", - " \\nA. George Washington\\nB. Abraham Lincoln\\nC. John F.\n", - " 1.901117\n", + " (A) The 50th president is the 50th president is the\n", + " 0.202507\n", " \n", " \n", " 7\n", - " \\nGiven these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWho is the 50th president?\n", + " Given these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWho is the 50th president?\n", " 1.0\n", - " Is he black, white or something else?\\n\\nFormat answer using the standard Scien\n", - " 0.612549\n", + " The documents say 50th is President George, the document that George Bush\n", + " 0.196210\n", " \n", " \n", "\n", "" ], "text/plain": [ - " prompt \\\n", - "0 \\nGiven these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWhat happened on 01/01/2025? \n", - "1 \\nGiven these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWhat happened on 01/01/2025? \n", - "2 \\nGiven these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWho is the 50th president? \n", - "3 \\nGiven these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWho is the 50th president? \n", - "4 \\nGiven these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWhat happened on 01/01/2025? \n", - "5 \\nGiven these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWhat happened on 01/01/2025? \n", - "6 \\nGiven these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWho is the 50th president? \n", - "7 \\nGiven these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWho is the 50th president? \n", + " prompt \\\n", + "0 Given these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWhat happened on 01/01/2025? \n", + "1 Given these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWhat happened on 01/01/2025? \n", + "2 Given these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWho is the 50th president? \n", + "3 Given these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWho is the 50th president? \n", + "4 Given these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWhat happened on 01/01/2025? \n", + "5 Given these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWhat happened on 01/01/2025? \n", + "6 Given these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWho is the 50th president? \n", + "7 Given these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWho is the 50th president? \n", "\n", " temperature \\\n", "0 0.0 \n", @@ -446,25 +446,25 @@ "6 0.0 \n", "7 1.0 \n", "\n", - " response \\\n", - "0 \\nThis is a document\\nThis is a document\\nThis is a document\\n \n", - "1 (What everybody in the world thought about the year 2019 in theis \n", - "2 \\nA. George Washington\\nB. Abraham Lincoln\\nC. John F. \n", - "3 And how do you know? You don't. The problem doesn't lie in \n", - "4 \\nThis is the document\\nThis is another document\\nThis is a document\\n \n", - "5 There are N similar days. You can use the cloud function to calculate the date \n", - "6 \\nA. George Washington\\nB. Abraham Lincoln\\nC. John F. \n", - "7 Is he black, white or something else?\\n\\nFormat answer using the standard Scien \n", + " response \\\n", + "0 \\nThis is a document\\nThis is a document\\nThis is a document\\n \n", + "1 \\n\\nReferences in the Notes on this topic contain only a text, not the entire \n", + "2 \\nA. George Washington\\nB. Abraham Lincoln\\nC. John F. \n", + "3 There are 31 documents.\\n 25\\nSimon is a 67-year-old \n", + "4 The first document is the same as the second document, but the second document is \n", + "5 Let's STO(1) see.\\n```\\nAssetWare::STO \n", + "6 (A) The 50th president is the 50th president is the \n", + "7 The documents say 50th is President George, the document that George Bush \n", "\n", " latency \n", - "0 0.619368 \n", - "1 0.243747 \n", - "2 0.498184 \n", - "3 0.228347 \n", - "4 0.590188 \n", - "5 1.993902 \n", - "6 1.901117 \n", - "7 0.612549 " + "0 0.319791 \n", + "1 0.195658 \n", + "2 0.204074 \n", + "3 0.193998 \n", + "4 0.216036 \n", + "5 0.201545 \n", + "6 0.202507 \n", + "7 0.196210 " ] }, "metadata": {}, @@ -476,6 +476,357 @@ "rag_experiment.visualize()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can also do the same thing with a LLM chat model, such as GPT-3.5-turbo." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "chat_models = [\"gpt-3.5-turbo\"]\n", + "messages = [\n", + " [\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", + " {\"role\": \"user\", \"content\": \"Who was the 50th president?\"},\n", + " ],\n", + " [\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", + " {\"role\": \"user\", \"content\": \"What happened on 01/01/2025?\"},\n", + " ]\n", + "]\n", + "temperatures = [0.0, 1.0]\n", + "# You can add more parameters that you'd like to test here.\n", + "\n", + "llm_chat_arguments = {\"model\": chat_models, \"messages\": messages, \"temperature\": temperatures}" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:chromadb.segment.impl.vector.local_hnsw:Number of requested results 10 is greater than number of elements in index 3, updating n_results = 3\n", + "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/chromadb/utils/read_write_lock.py:29: DeprecationWarning: notifyAll() is deprecated, use notify_all() instead\n", + " self._read_ready.notifyAll()\n", + "WARNING:chromadb.segment.impl.vector.local_hnsw:Number of requested results 10 is greater than number of elements in index 3, updating n_results = 3\n" + ] + }, + { + "data": { + "text/html": [ + "
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temperaturemessagesresponselatency
00.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "This is another document\n", + "This is a document\n", + "This is the document.\n", + "\n", + "Given these documents:\n", + "This is another document\n", + "This is the document.\n", + "This is a document\n", + "\n", + "Who was the 50th president?'}]As of my knowledge, there have been 46 presidents of the United States. Therefore, there is no 50th president.1.649850
11.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "This is another document\n", + "This is a document\n", + "This is the document.\n", + "\n", + "Given these documents:\n", + "This is another document\n", + "This is the document.\n", + "This is a document\n", + "\n", + "Who was the 50th president?'}]As of my knowledge, there have only been 46 presidents of the United States, with the current president being Joe Biden. Therefore, there has not been a 50th president yet.1.842281
20.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "This is another document\n", + "This is a document\n", + "This is the document.\n", + "\n", + "Given these documents:\n", + "This is another document\n", + "This is the document.\n", + "This is a document\n", + "\n", + "What happened on 01/01/2025?'}]Based on the given information, there is no mention of any events or activities that occurred on 01/01/2025.1.428515
31.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "This is another document\n", + "This is a document\n", + "This is the document.\n", + "\n", + "Given these documents:\n", + "This is another document\n", + "This is the document.\n", + "This is a document\n", + "\n", + "What happened on 01/01/2025?'}]Based on the given information, we do not have any specific information about what happened on 01/01/2025. It is not mentioned in the provided documents.1.734258
40.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "This is another document\n", + "This is a document\n", + "This is the document.\n", + "\n", + "Given these documents:\n", + "This is another document\n", + "This is the document.\n", + "This is a document\n", + "\n", + "Who was the 50th president?'}]As of my knowledge, there have been 46 presidents of the United States. Therefore, there is no 50th president.1.443996
51.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "This is another document\n", + "This is a document\n", + "This is the document.\n", + "\n", + "Given these documents:\n", + "This is another document\n", + "This is the document.\n", + "This is a document\n", + "\n", + "Who was the 50th president?'}]There is currently no 50th president as there have only been 46 presidents in the United States as of October 2021.1.351932
60.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "This is another document\n", + "This is a document\n", + "This is the document.\n", + "\n", + "Given these documents:\n", + "This is another document\n", + "This is the document.\n", + "This is a document\n", + "\n", + "What happened on 01/01/2025?'}]Based on the given documents, there is no information about what happened on 01/01/2025.1.207891
71.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "This is another document\n", + "This is a document\n", + "This is the document.\n", + "\n", + "Given these documents:\n", + "This is another document\n", + "This is the document.\n", + "This is a document\n", + "\n", + "What happened on 01/01/2025?'}]Based on the given information, there is no mention of any events or activities that occurred on January 1, 2025.1.534629
\n", + "
" + ], + "text/plain": [ + " temperature \\\n", + "0 0.0 \n", + "1 1.0 \n", + "2 0.0 \n", + "3 1.0 \n", + "4 0.0 \n", + "5 1.0 \n", + "6 0.0 \n", + "7 1.0 \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "This is another document\n", + "This is a document\n", + "This is the document.\n", + "\n", + "Given these documents:\n", + "This is another document\n", + "This is the document.\n", + "This is a document\n", + "\n", + "Who was the 50th president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "This is another document\n", + "This is a document\n", + "This is the document.\n", + "\n", + "Given these documents:\n", + "This is another document\n", + "This is the document.\n", + "This is a document\n", + "\n", + "Who was the 50th president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "This is another document\n", + "This is a document\n", + "This is the document.\n", + "\n", + "Given these documents:\n", + "This is another document\n", + "This is the document.\n", + "This is a document\n", + "\n", + "What happened on 01/01/2025?'}] \n", + "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "This is another document\n", + "This is a document\n", + "This is the document.\n", + "\n", + "Given these documents:\n", + "This is another document\n", + "This is the document.\n", + "This is a document\n", + "\n", + "What happened on 01/01/2025?'}] \n", + "4 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "This is another document\n", + "This is a document\n", + "This is the document.\n", + "\n", + "Given these documents:\n", + "This is another document\n", + "This is the document.\n", + "This is a document\n", + "\n", + "Who was the 50th president?'}] \n", + "5 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "This is another document\n", + "This is a document\n", + "This is the document.\n", + "\n", + "Given these documents:\n", + "This is another document\n", + "This is the document.\n", + "This is a document\n", + "\n", + "Who was the 50th president?'}] \n", + "6 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "This is another document\n", + "This is a document\n", + "This is the document.\n", + "\n", + "Given these documents:\n", + "This is another document\n", + "This is the document.\n", + "This is a document\n", + "\n", + "What happened on 01/01/2025?'}] \n", + "7 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "This is another document\n", + "This is a document\n", + "This is the document.\n", + "\n", + "Given these documents:\n", + "This is another document\n", + "This is the document.\n", + "This is a document\n", + "\n", + "What happened on 01/01/2025?'}] \n", + "\n", + " response \\\n", + "0 As of my knowledge, there have been 46 presidents of the United States. Therefore, there is no 50th president. \n", + "1 As of my knowledge, there have only been 46 presidents of the United States, with the current president being Joe Biden. Therefore, there has not been a 50th president yet. \n", + "2 Based on the given information, there is no mention of any events or activities that occurred on 01/01/2025. \n", + "3 Based on the given information, we do not have any specific information about what happened on 01/01/2025. It is not mentioned in the provided documents. \n", + "4 As of my knowledge, there have been 46 presidents of the United States. Therefore, there is no 50th president. \n", + "5 There is currently no 50th president as there have only been 46 presidents in the United States as of October 2021. \n", + "6 Based on the given documents, there is no information about what happened on 01/01/2025. \n", + "7 Based on the given information, there is no mention of any events or activities that occurred on January 1, 2025. \n", + "\n", + " latency \n", + "0 1.649850 \n", + "1 1.842281 \n", + "2 1.428515 \n", + "3 1.734258 \n", + "4 1.443996 \n", + "5 1.351932 \n", + "6 1.207891 \n", + "7 1.534629 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "rag_experiment_2 = RetrievalAugmentedGenerationExperimentationHarness(\n", + " vector_db_experiment = vdb_experiment,\n", + " llm_experiment_cls = OpenAIChatExperiment,\n", + " llm_arguments = llm_chat_arguments,\n", + " extract_document_fn = _extract_doc_from_row,\n", + ")\n", + "\n", + "rag_experiment_2.run()\n", + "rag_experiment_2.visualize()" + ] + }, { "cell_type": "code", "execution_count": null, From 809ddd549f98d266374c8b7ecddceed0ede1e5e2 Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 15 Sep 2023 01:08:17 -0700 Subject: [PATCH 044/182] Minor touch ups vector DB experiment codes --- prompttools/experiment/experiments/chromadb_experiment.py | 7 +++---- prompttools/experiment/experiments/weaviate_experiment.py | 1 - 2 files changed, 3 insertions(+), 5 deletions(-) diff --git a/prompttools/experiment/experiments/chromadb_experiment.py b/prompttools/experiment/experiments/chromadb_experiment.py index f0777a7e..be0d62bb 100644 --- a/prompttools/experiment/experiments/chromadb_experiment.py +++ b/prompttools/experiment/experiments/chromadb_experiment.py @@ -143,7 +143,6 @@ def run(self, runs: int = 1): self.chroma_client.delete_collection(self.collection_name) self._construct_result_dfs(input_args, results, latencies) - # TODO: Collect and add latency def _construct_result_dfs( self, input_args: list[dict[str, object]], @@ -185,15 +184,15 @@ def _construct_result_dfs( @staticmethod def _extract_top_doc_ids(output: Dict[str, object]) -> list[tuple[str, float]]: - r"""Helper function to get distances between documents from ChromaDB.""" + r"""Helper function to get the top document IDs from ChromaDB.""" return output["ids"][0] @staticmethod def _extract_chromadb_dists(output: Dict[str, object]) -> list[tuple[str, float]]: - r"""Helper function to get distances between documents from ChromaDB.""" + r"""Helper function to get distances between the prompt and documents from ChromaDB.""" return output["distances"][0] @staticmethod def _extract_chromadb_docs(output: Dict[str, object]) -> list[tuple[str, float]]: - r"""Helper function to get distances between documents from ChromaDB.""" + r"""Helper function to get the top documents from ChromaDB.""" return output["documents"][0] diff --git a/prompttools/experiment/experiments/weaviate_experiment.py b/prompttools/experiment/experiments/weaviate_experiment.py index a4e4c383..cfe1a962 100644 --- a/prompttools/experiment/experiments/weaviate_experiment.py +++ b/prompttools/experiment/experiments/weaviate_experiment.py @@ -220,7 +220,6 @@ def run(self, runs: int = 1): self.client.schema.delete_class(self.class_name) self._construct_result_dfs([c for c in self.argument_combos for _ in range(runs)], results, latencies) - # TODO: Collect and add latency def _construct_result_dfs( self, input_args: list[dict[str, object]], From 70919a387f8052f208624b466c339a56388eadf6 Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 15 Sep 2023 01:08:42 -0700 Subject: [PATCH 045/182] Adding support for Pinecone --- .../experiments/pinecone_experiment.py | 182 ++++++++++++++++++ 1 file changed, 182 insertions(+) create mode 100644 prompttools/experiment/experiments/pinecone_experiment.py diff --git a/prompttools/experiment/experiments/pinecone_experiment.py b/prompttools/experiment/experiments/pinecone_experiment.py new file mode 100644 index 00000000..f529b8a0 --- /dev/null +++ b/prompttools/experiment/experiments/pinecone_experiment.py @@ -0,0 +1,182 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + +import os +import pandas as pd +from typing import Any, Dict, Optional + +try: + import pinecone +except ImportError: + pinecone = None + +import itertools +import logging + +# from prompttools.mock.mock import mock_chromadb_fn +from time import perf_counter +from .experiment import Experiment +from ._utils import _get_dynamic_columns + +VALID_TASKS = [""] + + +class PineconeExperiment(Experiment): + r""" + Perform an experiment with ``Pinecone`` to test different embedding functions or retrieval arguments. + You can query from an existing collection, or create a new one (and insert documents into it) during + the experiment. If you choose to create a new collection, it will be automatically cleaned up + as the experiment ends. + + Args: + index_name (str): the index that you will use or create + use_existing_index (bool): determines whether to create a new collection or use + an existing one + query_index_params (dict[str, list]): parameters used to query the collection + Each value is expected to be a list to create all possible combinations + create_index_params (Optional[dict]): documents or embeddings that will be added to + the newly created collection + """ + + PARAMETER_NAMES = ["chroma_client"] + + def __init__( + self, + index_name: str, + use_existing_index: bool, + query_index_params: dict, + create_index_params: Optional[dict] = None, + ): + if pinecone is None: + raise ModuleNotFoundError( + "Package `pinecone` is required to be installed to use this experiment." + "Please use `pip install pinecone-client` to install the package" + ) + pinecone.init(api_key=os.environ["PINECONE_API_KEY"], environment=os.environ["PINECONE_ENVIRONMENT"]) + self.index_name = index_name + self.completion_fn = self.pinecone_completion_fn + # if os.getenv("DEBUG", default=False): + # self.completion_fn = mock_chromadb_fn + self.use_existing_index = use_existing_index + self.create_index_params = create_index_params if create_index_params else {} + self.query_index_params = query_index_params + if use_existing_index and create_index_params: + raise RuntimeError("You can either use an existing collection or create a new one during the experiment.") + if not use_existing_index and create_index_params is None: + raise RuntimeError("If you choose to create a new collection, you must also add to it.") + super().__init__() + + # @classmethod + # def initialize(cls, test_parameters: dict[str, list], frozen_parameters: dict): + # required_frozen_params = ( + # "chroma_client", + # "collection_name", + # "use_existing_collection", + # "query_collection_params", + # ) + # for arg_name in required_frozen_params: + # if arg_name not in frozen_parameters or arg_name in test_parameters: + # raise RuntimeError(f"'{arg_name}' must be a frozen parameter in ChromaDBExperiment.") + # frozen_parameters = {k: [v] for k, v in frozen_parameters.items()} + # return cls(**test_parameters, **frozen_parameters) + + def pinecone_completion_fn( + self, + index: "pinecone.Index", + **query_params: Dict[str, Any], + ): + r""" + Pinecone helper function to make request + """ + results = index.query(**query_params) + return results + + def prepare(self) -> None: + r""" + Creates argument combinations by taking the cartesian product of all inputs. + """ + # TODO: Add support for the case where `create_index_params` are a list, add logic to expand + for combo in itertools.product(*self.query_index_params.values()): + self.argument_combos.append(dict(zip(self.query_index_params.keys(), combo))) + + def run(self, runs: int = 1): + input_args = [] # This will be used to construct DataFrame table + results = [] + latencies = [] + if not self.argument_combos: + logging.info("Preparing first...") + self.prepare() + if not self.use_existing_index: + # TODO: Add support for the case where params are a list , add logic to `prepare` + pinecone.create_index(self.index_name, **self.create_index_params) + + index = pinecone.Index(self.index_name) + + for query_arg_dict in self.argument_combos: + arg_combo = query_arg_dict.copy() + for _ in range(runs): + input_args.append(arg_combo) + start = perf_counter() + results.append(self.pinecone_completion_fn(index, **query_arg_dict)) + latencies.append(perf_counter() - start) + # Clean up + if not self.use_existing_index: + pinecone.delete_index(self.index_name) + self._construct_result_dfs(input_args, results, latencies) + + def _construct_result_dfs( + self, + input_args: list[dict[str, object]], + results: list[dict[str, object]], + latencies: list[float], + ): + r""" + Construct a few DataFrames that contain all relevant data (i.e. input arguments, results, evaluation metrics). + + This version only extract the most relevant objects returned by Pinecone. + + Args: + input_args (list[dict[str, object]]): list of dictionaries, where each of them is a set of + input argument that was passed into the model + results (list[dict[str, object]]): list of responses from the model + latencies (list[float]): list of latency measurements + """ + # `input_arg_df` contains all all input args + input_arg_df = pd.DataFrame(input_args) + # `dynamic_input_arg_df` contains input args that has more than one unique values + dynamic_input_arg_df = _get_dynamic_columns(input_arg_df) + + # `response_df` contains the extracted response (often being the text response) + response_dict = dict() + response_dict["top doc ids"] = [self._extract_top_doc_ids(result) for result in results] + response_dict["scores"] = [self._extract_pinecone_scores(result) for result in results] + response_dict["documents"] = [self._extract_pinecone_docs(result) for result in results] + response_df = pd.DataFrame(response_dict) + # `result_df` contains everything returned by the completion function + result_df = response_df # pd.concat([self.response_df, pd.DataFrame(results)], axis=1) + + # `score_df` contains computed metrics (e.g. latency, evaluation metrics) + self.score_df = pd.DataFrame({"latency": latencies}) + + # `partial_df` contains some input arguments, extracted responses, and score + self.partial_df = pd.concat([dynamic_input_arg_df, response_df, self.score_df], axis=1) + # `full_df` contains all input arguments, responses, and score + self.full_df = pd.concat([input_arg_df, result_df, self.score_df], axis=1) + + @staticmethod + def _extract_top_doc_ids(output: "pinecone.QueryResponse") -> list[tuple[str, float]]: + r"""Helper function to get top document IDs from Pinecone.""" + return [match["id"] for match in output["matches"]] + + @staticmethod + def _extract_pinecone_scores(output: "pinecone.QueryResponse") -> list[tuple[str, float]]: + r"""Helper function to get the scores of documents from Pinecone.""" + return [match["score"] for match in output["matches"]] + + @staticmethod + def _extract_pinecone_docs(output: "pinecone.QueryResponse") -> list[tuple[str, float]]: + r"""Helper function to get top documents from Pinecone.""" + return [match["values"] for match in output["matches"]] From bebdc9ba72ba9a0a2772ea603e7a7637d32f2d36 Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 15 Sep 2023 19:40:35 -0700 Subject: [PATCH 046/182] Adding Pinecone notebook example --- .../PineconeExperiment.ipynb | 581 ++++++++++++++++++ prompttools/experiment/__init__.py | 2 + .../experiments/pinecone_experiment.py | 49 +- 3 files changed, 624 insertions(+), 8 deletions(-) create mode 100644 examples/notebooks/vectordb_experiments/PineconeExperiment.ipynb diff --git a/examples/notebooks/vectordb_experiments/PineconeExperiment.ipynb b/examples/notebooks/vectordb_experiments/PineconeExperiment.ipynb new file mode 100644 index 00000000..ba00a680 --- /dev/null +++ b/examples/notebooks/vectordb_experiments/PineconeExperiment.ipynb @@ -0,0 +1,581 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0a13ddc8", + "metadata": {}, + "source": [ + "# Pinecone Experiment Example" + ] + }, + { + "cell_type": "markdown", + "id": "623f0cfe", + "metadata": {}, + "source": [ + "## Installations" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "885dabeb", + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install --quiet --force-reinstall prompttools" + ] + }, + { + "cell_type": "markdown", + "id": "2eac35f8", + "metadata": {}, + "source": [ + "## Setup imports and API keys" + ] + }, + { + "cell_type": "markdown", + "id": "0957a5dd", + "metadata": {}, + "source": [ + "First, we will set the API key and Pinecone environment name." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "97acda7e", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "# os.environ[\"DEBUG\"] = \"1\" # Set this to \"\" to call the API\n", + "os.environ[\"PINECONE_API_KEY\"] = \"\" # Insert your key here\n", + "os.environ[\"PINECONE_ENVIRONMENT\"] = \"\" # Insert the environment name here" + ] + }, + { + "cell_type": "markdown", + "id": "842f1e47", + "metadata": {}, + "source": [ + "We'll import the relevant `prompttools` modules to setup our experiment." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "beaa70a1", + "metadata": { + "ExecuteTime": { + "end_time": "2023-07-20T07:13:56.823039Z", + "start_time": "2023-07-20T07:13:55.927616Z" + } + }, + "outputs": [], + "source": [ + "from prompttools.experiment import PineconeExperiment\n", + "import pinecone" + ] + }, + { + "cell_type": "markdown", + "id": "eacc4c79", + "metadata": {}, + "source": [ + "## Inserting data in advance" + ] + }, + { + "cell_type": "markdown", + "id": "c604708a", + "metadata": {}, + "source": [ + "In general, we recommend inserting your data prior to the experiment before Pinecone is **eventually consistent**, such that there will be a **delay** before you can successfully query your data that you just inserted.\n", + "\n", + "Here is an example of how you can insert your data:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "dfd37f5d", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/pinecone/core/client/rest.py:45: DeprecationWarning: HTTPResponse.getheader() is deprecated and will be removed in urllib3 v2.1.0. Instead use HTTPResponse.headers.get(name, default).\n", + " return self.urllib3_response.getheader(name, default)\n" + ] + } + ], + "source": [ + "index_name = \"test\"\n", + "data = [\n", + " (\"A\", [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1]),\n", + " (\"B\", [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2]),\n", + " (\"C\", [0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3]),\n", + " (\"D\", [0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4]),\n", + " (\"E\", [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5])\n", + "]\n", + "\n", + "pinecone.init(api_key=os.environ[\"PINECONE_API_KEY\"], environment=os.environ[\"PINECONE_ENVIRONMENT\"])\n", + "try:\n", + " pinecone.delete_index(index_name) # Optional, delete your index if it already exists\n", + "except Exception:\n", + " pass\n", + "create_index_params = {\"dimension\": 8, \"metric\": \"euclidean\"}\n", + "pinecone.create_index(index_name, **create_index_params)\n", + "index = pinecone.Index(index_name)\n", + "index.upsert(data)" + ] + }, + { + "cell_type": "markdown", + "id": "0c33fe9f", + "metadata": {}, + "source": [ + "You can have a look at your index's status:" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "1bd3c368", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "IndexDescription(name='test', metric='euclidean', replicas=1, dimension=8.0, shards=1, pods=1, pod_type='starter', status={'ready': True, 'state': 'Ready'}, metadata_config=None, source_collection='')" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pinecone.describe_index(index_name)" + ] + }, + { + "cell_type": "markdown", + "id": "99087fbe", + "metadata": {}, + "source": [ + "Make sure the vector count matches what you expect before trying to query. There is generally a delay after insertion because Pinecone is eventually consistent. You can check by:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7ffc3f47", + "metadata": {}, + "outputs": [], + "source": [ + "index.describe_index_stats()" + ] + }, + { + "cell_type": "markdown", + "id": "622dea9a", + "metadata": {}, + "source": [ + "## Run an experiment" + ] + }, + { + "cell_type": "markdown", + "id": "3babfe5a", + "metadata": {}, + "source": [ + "You can also insert your data during the experiment, but there will be delay during the experiment to wait for the data to show up in Pinecone.\n", + "\n", + "If you choose to do this, a new Pinecone index will be temporarily created. The data will be added into it. Then, we will query from it and examine the results. The experiment will automatically clean up the index afterwards." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "9114cfbf", + "metadata": { + "ExecuteTime": { + "end_time": "2023-07-20T07:13:56.829960Z", + "start_time": "2023-07-20T07:13:56.825481Z" + } + }, + "outputs": [], + "source": [ + "index_name = \"test\"\n", + "\n", + "# Index configuration\n", + "create_index_params = {\"dimension\": 8, \"metric\": \"euclidean\"}\n", + "\n", + "# Documents that will be added into the database\n", + "data = [\n", + " (\"A\", [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1]),\n", + " (\"B\", [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2]),\n", + " (\"C\", [0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3]),\n", + " (\"D\", [0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4]),\n", + " (\"E\", [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5])\n", + "]\n", + "\n", + "# Our test queries\n", + "test_queries = [\n", + " [0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3],\n", + " [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2],\n", + " [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1],\n", + "]\n", + "\n", + "query_index_params = {\n", + " \"vector\": test_queries,\n", + " \"top_k\": [3],\n", + " \"include_values\": [True],\n", + "}\n", + "\n", + "\n", + "# Set up the experiment\n", + "experiment = PineconeExperiment(\n", + " index_name,\n", + " use_existing_index = False, # Switch to `True` if you # Optional. if you inserted data in advnace\n", + " query_index_params = query_index_params,\n", + " create_index_params = create_index_params, # Optional. if you inserted data in advnace\n", + " data = data, # Optional. if you inserted data in advnace\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "f3fa5450", + "metadata": {}, + "source": [ + "We can then run the experiment to get results." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "83b33130", + "metadata": { + "ExecuteTime": { + "end_time": "2023-07-20T07:16:21.469371Z", + "start_time": "2023-07-20T07:16:21.462342Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/pinecone/core/client/rest.py:45: DeprecationWarning: HTTPResponse.getheader() is deprecated and will be removed in urllib3 v2.1.0. Instead use HTTPResponse.headers.get(name, default).\n", + " return self.urllib3_response.getheader(name, default)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Waiting for Pinecone's eventual consistency after inserting data.\n", + "Waiting for Pinecone's eventual consistency after inserting data.\n", + "Waiting for Pinecone's eventual consistency after inserting data.\n", + "Waiting for Pinecone's eventual consistency after inserting data.\n" + ] + } + ], + "source": [ + "experiment.run()" + ] + }, + { + "cell_type": "markdown", + "id": "1b013dca", + "metadata": {}, + "source": [ + "You can see the top 3 doc IDs of each of your queries." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "01c7e682", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " vector top doc ids \\\n", + "0 [0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3] [C, D, B] \n", + "1 [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2] [B, A, C] \n", + "2 [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1] [A, B, C] \n", + "\n", + " scores \\\n", + "0 [0.0, 0.0799999237, 0.0800000429] \n", + "1 [0.0, 0.0800000131, 0.0800000429] \n", + "2 [0.0, 0.0800000131, 0.32] \n", + "\n", + " documents \\\n", + "0 [[0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3], [0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4], [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2]] \n", + "1 [[0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2], [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1], [0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3]] \n", + "2 [[0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1], [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2], [0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3]] \n", + "\n", + " latency ranking_correlation \n", + "0 0.390167 1.0 \n", + "1 0.102859 -1.0 \n", + "2 0.112139 0.5 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "experiment.visualize()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/prompttools/experiment/__init__.py b/prompttools/experiment/__init__.py index 4ada9be5..1541e26d 100644 --- a/prompttools/experiment/__init__.py +++ b/prompttools/experiment/__init__.py @@ -20,6 +20,7 @@ from .experiments.stablediffusion_experiment import StableDiffusionExperiment from .experiments.replicate_experiment import ReplicateExperiment from .experiments.qdrant_experiment import QdrantExperiment +from .experiments.pinecone_experiment import PineconeExperiment __all__ = [ "AnthropicCompletionExperiment", @@ -32,6 +33,7 @@ "MindsDBExperiment", "OpenAIChatExperiment", "OpenAICompletionExperiment", + "PineconeExperiment", "QdrantExperiment", "ReplicateExperiment", "RouterChainExperiment", diff --git a/prompttools/experiment/experiments/pinecone_experiment.py b/prompttools/experiment/experiments/pinecone_experiment.py index f529b8a0..f12bd085 100644 --- a/prompttools/experiment/experiments/pinecone_experiment.py +++ b/prompttools/experiment/experiments/pinecone_experiment.py @@ -5,8 +5,10 @@ # LICENSE file in the root directory of this source tree. import os +import time + import pandas as pd -from typing import Any, Dict, Optional +from typing import Any, Dict, Optional, Iterable try: import pinecone @@ -37,18 +39,19 @@ class PineconeExperiment(Experiment): an existing one query_index_params (dict[str, list]): parameters used to query the collection Each value is expected to be a list to create all possible combinations - create_index_params (Optional[dict]): documents or embeddings that will be added to + create_index_params (Optional[dict]): configuration of the new index (e.g. number of dimensions, + distance function) + data (Optional[list]): documents or embeddings that will be added to the newly created collection """ - PARAMETER_NAMES = ["chroma_client"] - def __init__( self, index_name: str, use_existing_index: bool, query_index_params: dict, create_index_params: Optional[dict] = None, + data: Optional[list] = None, ): if pinecone is None: raise ModuleNotFoundError( @@ -62,10 +65,11 @@ def __init__( # self.completion_fn = mock_chromadb_fn self.use_existing_index = use_existing_index self.create_index_params = create_index_params if create_index_params else {} + self.data = data self.query_index_params = query_index_params if use_existing_index and create_index_params: raise RuntimeError("You can either use an existing collection or create a new one during the experiment.") - if not use_existing_index and create_index_params is None: + if not use_existing_index and data is None: raise RuntimeError("If you choose to create a new collection, you must also add to it.") super().__init__() @@ -91,8 +95,8 @@ def pinecone_completion_fn( r""" Pinecone helper function to make request """ - results = index.query(**query_params) - return results + result = index.query(**query_params) + return result def prepare(self) -> None: r""" @@ -102,6 +106,26 @@ def prepare(self) -> None: for combo in itertools.product(*self.query_index_params.values()): self.argument_combos.append(dict(zip(self.query_index_params.keys(), combo))) + @staticmethod + def _batch_upsert(pinecone_index: "pinecone.Index", data: Iterable) -> None: + batch = [] + for d in data: + batch.append(d) + if len(batch) == 100: + pinecone_index.upsert(batch) + batch = [] + pinecone_index.upsert(batch) + + @staticmethod + def _wait_for_eventual_consistency(pinecone_index: "pinecone.Index", n_sample: int) -> None: + i = 0 + while pinecone_index.describe_index_stats()["total_vector_count"] < n_sample: + i += 1 + print("Waiting for Pinecone's eventual consistency after inserting data.") + time.sleep(3) + if i == 20: + raise TimeoutError("Pinecone has not insert data due to eventual consistency after 1 minute.") + def run(self, runs: int = 1): input_args = [] # This will be used to construct DataFrame table results = [] @@ -109,12 +133,20 @@ def run(self, runs: int = 1): if not self.argument_combos: logging.info("Preparing first...") self.prepare() + + # Insert data if not self.use_existing_index: # TODO: Add support for the case where params are a list , add logic to `prepare` pinecone.create_index(self.index_name, **self.create_index_params) + index = pinecone.Index(self.index_name) + self._batch_upsert(index, self.data) + else: + index = pinecone.Index(self.index_name) - index = pinecone.Index(self.index_name) + if not self.use_existing_index: + self._wait_for_eventual_consistency(index, len(self.data)) + # Query for query_arg_dict in self.argument_combos: arg_combo = query_arg_dict.copy() for _ in range(runs): @@ -122,6 +154,7 @@ def run(self, runs: int = 1): start = perf_counter() results.append(self.pinecone_completion_fn(index, **query_arg_dict)) latencies.append(perf_counter() - start) + # Clean up if not self.use_existing_index: pinecone.delete_index(self.index_name) From 4ba10cbcac2771f91c6da7804cfb4015662184c4 Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 15 Sep 2023 19:40:47 -0700 Subject: [PATCH 047/182] Adding Pinecone to README and documentation --- README.md | 2 +- docs/source/experiment.rst | 4 ++++ examples/notebooks/README.md | 1 + 3 files changed, 6 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 52741803..08e24ff1 100644 --- a/README.md +++ b/README.md @@ -107,7 +107,7 @@ Vector Databases and Data Utility - Qdrant - **Supported** - LanceDB - **Supported** - Milvus - Exploratory -- Pinecone - Exploratory +- Pinecone - **Supported** - Epsilla - _In Progress_ Frameworks diff --git a/docs/source/experiment.rst b/docs/source/experiment.rst index c18a0806..e7387610 100644 --- a/docs/source/experiment.rst +++ b/docs/source/experiment.rst @@ -41,6 +41,8 @@ LLMs .. autoclass:: LlamaCppExperiment +.. autoclass:: ReplicateExperiment + Frameworks +++++++++++++++++++++++++++++++++++++++++ @@ -61,6 +63,8 @@ Vector DBs .. autoclass:: QdrantExperiment +.. autoclass:: PineconeExperiment + Computer Vision +++++++++++++++++++++++++++++++++++++++++ diff --git a/examples/notebooks/README.md b/examples/notebooks/README.md index e3551f32..6645bfc6 100644 --- a/examples/notebooks/README.md +++ b/examples/notebooks/README.md @@ -45,6 +45,7 @@ have something to share. and query functions, and compare the final results. - [LanceDB Experiment](vectordb_experiments/LanceDBExperiment.ipynb) allows you to try different embedding functions, and query methods. - [Qdrant Experiment](vectordb_experiments/QdrantExperiment.ipynb) explores different ways to query Qdrant, including with vectors. +- [Pinecone Experiment](vectordb_experiments/PineconeExperiment.ipynb) looks into different ways to add data into and query from Pinecone. ### Frameworks From 325ceaf3a79b6d49b4bb70d8005309748122e081 Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 15 Sep 2023 19:42:31 -0700 Subject: [PATCH 048/182] Fix typing --- prompttools/experiment/experiments/pinecone_experiment.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/prompttools/experiment/experiments/pinecone_experiment.py b/prompttools/experiment/experiments/pinecone_experiment.py index f12bd085..720f7fc2 100644 --- a/prompttools/experiment/experiments/pinecone_experiment.py +++ b/prompttools/experiment/experiments/pinecone_experiment.py @@ -64,8 +64,8 @@ def __init__( # if os.getenv("DEBUG", default=False): # self.completion_fn = mock_chromadb_fn self.use_existing_index = use_existing_index - self.create_index_params = create_index_params if create_index_params else {} - self.data = data + self.create_index_params: dict = create_index_params if create_index_params else {} + self.data: list = data if data is not None else [] self.query_index_params = query_index_params if use_existing_index and create_index_params: raise RuntimeError("You can either use an existing collection or create a new one during the experiment.") From 87692686c8678be430cdf74c76e7e9577e2dee94 Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Mon, 18 Sep 2023 11:23:19 -0700 Subject: [PATCH 049/182] remove print statements --- prompttools/playground/data_loader.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/prompttools/playground/data_loader.py b/prompttools/playground/data_loader.py index 2a5d7d8a..241f895c 100644 --- a/prompttools/playground/data_loader.py +++ b/prompttools/playground/data_loader.py @@ -14,15 +14,12 @@ def render_prompts(templates, vars): - print(templates) - print(vars) prompts = [] for template in templates: for var_set in vars: environment = jinja2.Environment() jinja_template = environment.from_string(template) prompts.append(jinja_template.render(**var_set)) - print(prompts) return prompts From 3fa26d1985405f1be49285327c83c18404834c0d Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 20 Sep 2023 23:59:31 -0700 Subject: [PATCH 050/182] Adding Google Vertex Chat experiment --- .../google_vertex_chat_experiment.py | 119 ++++++++++++++++++ 1 file changed, 119 insertions(+) create mode 100644 prompttools/experiment/experiments/google_vertex_chat_experiment.py diff --git a/prompttools/experiment/experiments/google_vertex_chat_experiment.py b/prompttools/experiment/experiments/google_vertex_chat_experiment.py new file mode 100644 index 00000000..743a51d2 --- /dev/null +++ b/prompttools/experiment/experiments/google_vertex_chat_experiment.py @@ -0,0 +1,119 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + +try: + from vertexai.preview.language_models import ChatModel +except ImportError: + ChatModel = None + +from prompttools.selector.prompt_selector import PromptSelector +from prompttools.mock.mock import mock_palm_completion_fn +from .experiment import Experiment +from typing import Optional, Union, Iterable +import os +import copy + + +class GoogleVertexChatCompletionExperiment(Experiment): + r""" + This class defines an experiment for Google PaLM's generate text API. It accepts lists for each argument + passed into PaLM's API, then creates a cartesian product of those arguments, and gets results for each. + + Note: + - All arguments here should be a ``list``, even if you want to keep the argument frozen + (i.e. ``temperature=[1.0]``), because the experiment will try all possible combination + of the input arguments. + - You should set ``os.environ["GOOGLE_PALM_API_KEY"] = YOUR_KEY`` in order to connect with PaLM's API. + + Args: + model (list[str]): Which model to call, as a string or a ``types.Model`` (e.g. ``'models/text-bison-001'``). + + prompt (list[str]): Free-form input text given to the model. Given a prompt, the model will + generate text that completes the input text. + + temperature (list[float]): Controls the randomness of the output. Must be positive. + Typical values are in the range: ``[0.0, 1.0]``. Higher values produce a + more random and varied response. A temperature of zero will be deterministic. + + candidate_count (list[int]): The **maximum** number of generated response messages to return. + This value must be between ``[1, 8]``, inclusive. If unset, this will default to ``1``. + + max_output_tokens (list[int]): Maximum number of tokens to include in a candidate. Must be greater + than zero. If unset, will default to ``64``. + + top_k (list[float]): The API uses combined nucleus and top-k sampling. + ``top_k`` sets the maximum number of tokens to sample from on each step. + + top_p (list[float]): The API uses combined nucleus and top-k sampling. ``top_p`` configures the nucleus + sampling. It sets the maximum cumulative probability of tokens to sample from. + + safety_settings (list[Iterable[palm.types.SafetySettingDict]]): A list of unique ``types.SafetySetting`` + instances for blocking unsafe content. + + stop_sequences (list[Union[str, Iterable[str]]]): A set of up to 5 character sequences that will stop output + generation. If specified, the API will stop at the first appearance of a stop sequence. + """ + + def __init__( + self, + model: list[str], + prompt: list[str], + temperature: list[Optional[float]] = [None], + candidate_count: list[Optional[int]] = [None], + max_output_tokens: list[Optional[int]] = [None], + top_p: list[Optional[float]] = [None], + top_k: list[Optional[float]] = [None], + safety_settings: list[Optional[Iterable["palm.types.SafetySettingDict"]]] = [None], + stop_sequences: list[Union[str, Iterable[str]]] = [None], + ): + if ChatModel is None: + raise ModuleNotFoundError( + "Package `vertexai` is required to be installed to use Google Vertex API in this experiment." + "Please use `pip install google-cloud-aiplatform` to install the package" + ) + # if os.getenv("DEBUG", default=False): + # self.completion_fn = mock_palm_completion_fn() + # else: + # self.completion_fn = self.palm_completion_fn + # palm.configure(api_key=os.environ["GOOGLE_PALM_API_KEY"]) + + # If we are using a prompt selector, we need to + # render the prompts from the selector + if isinstance(prompt[0], PromptSelector): + prompt = [selector.for_palm() for selector in prompt] + else: + prompt = prompt + + self.all_args = dict( + model=model, + prompt=prompt, + temperature=temperature, + candidate_count=candidate_count, + max_output_tokens=max_output_tokens, + top_p=top_p, + top_k=top_k, + safety_settings=safety_settings, + stop_sequences=stop_sequences, + ) + super().__init__() + + def palm_completion_fn(self, **input_args): + chat_model = ChatModel.from_pretrained(input_args["model"]) + chat = chat_model.start_chat(input_args["context"], input_args["examples"]) + params = copy.copy(input_args) + del params["model"], params["context"], params["examples"] + return chat.send_message(input_args["messages"], **input_args) + + @staticmethod + def _extract_responses(completion_response) -> list[str]: + # `# completion_response.result` will return the top response + return [candidate["output"] for candidate in completion_response.candidates][0] + + # def _get_model_names(self): + # return [combo["model"] for combo in self.argument_combos] + # + # def _get_prompts(self): + # return [combo["prompt"] for combo in self.argument_combos] From 1f04003ce2047041e3d6abb7a1aa48d748a88be1 Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 21 Sep 2023 01:58:18 -0700 Subject: [PATCH 051/182] Adding Google Vertex Chat notebook example --- .../GoogleVertexChatExperiment.ipynb | 172 ++++++++++++++++++ .../google_vertex_chat_experiment.py | 92 +++++----- 2 files changed, 213 insertions(+), 51 deletions(-) create mode 100644 examples/notebooks/GoogleVertexChatExperiment.ipynb diff --git a/examples/notebooks/GoogleVertexChatExperiment.ipynb b/examples/notebooks/GoogleVertexChatExperiment.ipynb new file mode 100644 index 00000000..caaa7b7b --- /dev/null +++ b/examples/notebooks/GoogleVertexChatExperiment.ipynb @@ -0,0 +1,172 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Google Vertex Chat Experiment Example" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Installations" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install --quiet --force-reinstall prompttools" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup imports and API keys" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In order for the Google Vertex AI API to work, you must set up your Google aiplatform credentials (one example in the following cell) or execute this experiment on https://console.cloud.google.com/vertex-ai/." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# from google.cloud import aiplatform\n", + "\n", + "# aiplatform.init(\n", + "# project=project,\n", + "# location=location,\n", + "# experiment=experiment,\n", + "# staging_bucket=staging_bucket,\n", + "# credentials=credentials,\n", + "# encryption_spec_key_name=encryption_spec_key_name,\n", + "# service_account=service_account,\n", + "# )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Once you succeed in setting up your credential, you should be able to execute the following cell without error." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from vertexai.preview.language_models import ChatModel, InputOutputTextPair\n", + "\n", + "chat_model = ChatModel.from_pretrained(\"chat-bison\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Then we'll import the relevant `prompttools` modules to setup our experiment." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2023-07-28T21:15:15.360723Z", + "start_time": "2023-07-28T21:15:15.230441Z" + }, + "collapsed": true + }, + "source": [ + "## Run an experiment" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, we create our test inputs. We can iterate over models (`\"chat-bison\"` in this case), context (equivalent of system message), message (equivalent of prompt). You can also experiment with configurations like temperature.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "from prompttools.experiment import GoogleVertexChatCompletionExperiment\n", + "\n", + "\n", + "model = [\"chat-bison\"]\n", + "\n", + "context = [\"You are a helpful assistant.\",\n", + " \"Answer the following question only if you know the answer or can make a well-informed guess; otherwise tell me you don't know it. In addition, explain your reasoning of your final answer.\"]\n", + "\n", + "message = [\n", + " \"Is 97 a prime number?\",\n", + " \"Is 17077 a prime number?\",\n", + "]\n", + "\n", + "experiment = GoogleVertexChatCompletionExperiment(model=model, message=message, context=context)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "experiment.run()\n", + "experiment.visualize()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Evaluate the model response" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Please reference other notebooks (such as Google PaLM 2, Anthropic) for detailed evaluation of the model's response." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/prompttools/experiment/experiments/google_vertex_chat_experiment.py b/prompttools/experiment/experiments/google_vertex_chat_experiment.py index 743a51d2..792af09a 100644 --- a/prompttools/experiment/experiments/google_vertex_chat_experiment.py +++ b/prompttools/experiment/experiments/google_vertex_chat_experiment.py @@ -5,42 +5,44 @@ # LICENSE file in the root directory of this source tree. try: - from vertexai.preview.language_models import ChatModel + from vertexai.preview.language_models import ChatModel, InputOutputTextPair except ImportError: ChatModel = None + InputOutputTextPair = None -from prompttools.selector.prompt_selector import PromptSelector -from prompttools.mock.mock import mock_palm_completion_fn from .experiment import Experiment -from typing import Optional, Union, Iterable -import os +from typing import Optional import copy class GoogleVertexChatCompletionExperiment(Experiment): r""" - This class defines an experiment for Google PaLM's generate text API. It accepts lists for each argument - passed into PaLM's API, then creates a cartesian product of those arguments, and gets results for each. + This class defines an experiment for Google Vertex AI's chat API. It accepts lists for each argument + passed into Vertex AI's API, then creates a cartesian product of those arguments, and gets results for each. Note: - All arguments here should be a ``list``, even if you want to keep the argument frozen (i.e. ``temperature=[1.0]``), because the experiment will try all possible combination of the input arguments. - - You should set ``os.environ["GOOGLE_PALM_API_KEY"] = YOUR_KEY`` in order to connect with PaLM's API. + - You need to set up your Google Vertex AI credentials properly before executing this experiment. One option + is to execute on Google Cloud's Colab. Args: model (list[str]): Which model to call, as a string or a ``types.Model`` (e.g. ``'models/text-bison-001'``). - prompt (list[str]): Free-form input text given to the model. Given a prompt, the model will - generate text that completes the input text. + message (list[str]): Message for the chat model to respond. + + context (list[str]): Context shapes how the model responds throughout the conversation. For example, + you can use context to specify words the model can or cannot use, + topics to focus on or avoid, or the response format or style. + + examples (list[list['InputOutputTextPair']]): Examples for the model to learn how to + respond to the conversation. temperature (list[float]): Controls the randomness of the output. Must be positive. Typical values are in the range: ``[0.0, 1.0]``. Higher values produce a more random and varied response. A temperature of zero will be deterministic. - candidate_count (list[int]): The **maximum** number of generated response messages to return. - This value must be between ``[1, 8]``, inclusive. If unset, this will default to ``1``. - max_output_tokens (list[int]): Maximum number of tokens to include in a candidate. Must be greater than zero. If unset, will default to ``64``. @@ -50,9 +52,6 @@ class GoogleVertexChatCompletionExperiment(Experiment): top_p (list[float]): The API uses combined nucleus and top-k sampling. ``top_p`` configures the nucleus sampling. It sets the maximum cumulative probability of tokens to sample from. - safety_settings (list[Iterable[palm.types.SafetySettingDict]]): A list of unique ``types.SafetySetting`` - instances for blocking unsafe content. - stop_sequences (list[Union[str, Iterable[str]]]): A set of up to 5 character sequences that will stop output generation. If specified, the API will stop at the first appearance of a stop sequence. """ @@ -60,60 +59,51 @@ class GoogleVertexChatCompletionExperiment(Experiment): def __init__( self, model: list[str], - prompt: list[str], + message: list[str], + context: list[Optional[str]] = [None], + examples: list[Optional[list[InputOutputTextPair]]] = [None], temperature: list[Optional[float]] = [None], - candidate_count: list[Optional[int]] = [None], max_output_tokens: list[Optional[int]] = [None], top_p: list[Optional[float]] = [None], - top_k: list[Optional[float]] = [None], - safety_settings: list[Optional[Iterable["palm.types.SafetySettingDict"]]] = [None], - stop_sequences: list[Union[str, Iterable[str]]] = [None], + top_k: list[Optional[int]] = [None], + stop_sequences: list[list[str]] = [None], ): if ChatModel is None: raise ModuleNotFoundError( "Package `vertexai` is required to be installed to use Google Vertex API in this experiment." "Please use `pip install google-cloud-aiplatform` to install the package" ) - # if os.getenv("DEBUG", default=False): - # self.completion_fn = mock_palm_completion_fn() - # else: - # self.completion_fn = self.palm_completion_fn - # palm.configure(api_key=os.environ["GOOGLE_PALM_API_KEY"]) - - # If we are using a prompt selector, we need to - # render the prompts from the selector - if isinstance(prompt[0], PromptSelector): - prompt = [selector.for_palm() for selector in prompt] - else: - prompt = prompt + + self.completion_fn = self.vertex_chat_completion_fn self.all_args = dict( model=model, - prompt=prompt, + message=message, + context=context, + examples=examples, temperature=temperature, - candidate_count=candidate_count, max_output_tokens=max_output_tokens, top_p=top_p, top_k=top_k, - safety_settings=safety_settings, stop_sequences=stop_sequences, ) super().__init__() - def palm_completion_fn(self, **input_args): - chat_model = ChatModel.from_pretrained(input_args["model"]) - chat = chat_model.start_chat(input_args["context"], input_args["examples"]) - params = copy.copy(input_args) - del params["model"], params["context"], params["examples"] - return chat.send_message(input_args["messages"], **input_args) + def vertex_chat_completion_fn(self, **input_args): + chat_model = ChatModel.from_pretrained(model_name=input_args["model"]) + message = input_args["message"] + params = copy.deepcopy(input_args) + del params["model"], params["message"] + chat = chat_model.start_chat(**params) + return chat.send_message(message) @staticmethod - def _extract_responses(completion_response) -> list[str]: - # `# completion_response.result` will return the top response - return [candidate["output"] for candidate in completion_response.candidates][0] - - # def _get_model_names(self): - # return [combo["model"] for combo in self.argument_combos] - # - # def _get_prompts(self): - # return [combo["prompt"] for combo in self.argument_combos] + def _extract_responses(response) -> list[str]: + # `response.text` will return the top response + return response.text + + def _get_model_names(self): + return [combo["model"] for combo in self.argument_combos] + + def _get_prompts(self): + return [combo["message"] for combo in self.argument_combos] From 922b532830332d2362cd4f298257e682af0d4a9b Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 21 Sep 2023 01:58:32 -0700 Subject: [PATCH 052/182] Adding Google Vertex Chat to README and doc --- README.md | 1 + docs/source/experiment.rst | 2 ++ examples/notebooks/README.md | 2 ++ prompttools/experiment/__init__.py | 2 ++ 4 files changed, 7 insertions(+) diff --git a/README.md b/README.md index 08e24ff1..acbfbddd 100644 --- a/README.md +++ b/README.md @@ -97,6 +97,7 @@ LLMs - HuggingFace (Hub API, Inference Endpoints) - **Supported** - Anthropic - **Supported** - Google PaLM - **Supported** +- Google Vertex AI - **Supported** - Azure OpenAI Service - **Supported** - Replicate - **Supported** - Ollama - _In Progress_ diff --git a/docs/source/experiment.rst b/docs/source/experiment.rst index e7387610..a2983270 100644 --- a/docs/source/experiment.rst +++ b/docs/source/experiment.rst @@ -39,6 +39,8 @@ LLMs .. autoclass:: GooglePaLMCompletionExperiment +.. autoclass:: GoogleVertexChatCompletionExperiment + .. autoclass:: LlamaCppExperiment .. autoclass:: ReplicateExperiment diff --git a/examples/notebooks/README.md b/examples/notebooks/README.md index 6645bfc6..50587d77 100644 --- a/examples/notebooks/README.md +++ b/examples/notebooks/README.md @@ -16,6 +16,8 @@ have something to share. - [OpenAI Chat Experiment](OpenAIChatExperiment.ipynb) shows how you can experiment with OpenAI with different models and parameters. - [OpenAI Chat Function Experiment](OpenAIChatFunctionExperiment.ipynb) shows how you can experiment with OpenAI's function calling API. - [Anthropic Experiment](AnthropicExperiment.ipynb) shows how you can experiment with Anthropic Claude with different models and parameters. +- [Google PaLM 2 Text Completion](PaLM2Experiment.ipynb) + and [Google Vertex AI Chat Completion](GoogleVertexChatExperiment.ipynb) utilizes Google's LLM models. - [LLaMA Cpp Experiment](LlamaCppExperiment.ipynb) executes LLaMA locally with various parameters and see how it does. - [LLaMA Cpp Experiment](LlamaCppExperiment.ipynb) executes LLaMA locally with various parameters and see how it does. - [HuggingFace Hub](HuggingFaceHub.ipynb) compares different OSS models hosted on HuggingFace. diff --git a/prompttools/experiment/__init__.py b/prompttools/experiment/__init__.py index 1541e26d..70d8ca5d 100644 --- a/prompttools/experiment/__init__.py +++ b/prompttools/experiment/__init__.py @@ -11,6 +11,7 @@ from .experiments.anthropic_completion_experiment import AnthropicCompletionExperiment from .experiments.huggingface_hub_experiment import HuggingFaceHubExperiment from .experiments.google_palm_experiment import GooglePaLMCompletionExperiment +from .experiments.google_vertex_chat_experiment import GoogleVertexChatCompletionExperiment from .experiments.llama_cpp_experiment import LlamaCppExperiment from .experiments.chromadb_experiment import ChromaDBExperiment from .experiments.weaviate_experiment import WeaviateExperiment @@ -27,6 +28,7 @@ "ChromaDBExperiment", "Experiment", "GooglePaLMCompletionExperiment", + "GoogleVertexChatCompletionExperiment", "LanceDBExperiment", "LlamaCppExperiment", "HuggingFaceHubExperiment", From 3845245941ed173c82de8f5d4c82ccae2f0c7a35 Mon Sep 17 00:00:00 2001 From: Bryan Weber's alter ego <141435510+bweber-rebellion@users.noreply.github.com> Date: Mon, 25 Sep 2023 11:55:23 -0400 Subject: [PATCH 053/182] Fix a typo in experiment.rst (#91) * Fix a typo in experiment.rst * Escape the trailing space --- docs/source/experiment.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/source/experiment.rst b/docs/source/experiment.rst index a2983270..5229e777 100644 --- a/docs/source/experiment.rst +++ b/docs/source/experiment.rst @@ -6,14 +6,14 @@ Experiment There are two main abstractions used in the ``prompttools`` library: Experiments and Harnesses. Occasionally, you may want to use a harness, because it abstracts away more details. -An experiment is a low level abstraction that takes the cartesian product of possible inputs to +An experiment is a low level abstraction that takes the Cartesian product of possible inputs to an LLM API. For example, the ``OpenAIChatExperiment`` accepts lists of inputs for each parameter of the OpenAI Chat Completion API. Then, it constructs and asynchronously executes requests using those potential inputs. An example of using experiment is `here `_. There are two ways to initialize an experiment: - 1. Wrap your parameters in ``list``s and pass them into the ``__init__`` method. See each class's + 1. Wrap your parameters in ``list``\ s and pass them into the ``__init__`` method. See each class's method signature in the "Integrated Experiment APIs" section for details. 2. Define which parameters should be tested and which ones should be frozen in two dictionaries. Pass the dictionaries to the ``initialize`` method. See the ``classmethod initialize`` below for details. From 62377de9c2cb0c73e96563f214267ad92bd3658a Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 2 Oct 2023 17:46:12 -0700 Subject: [PATCH 054/182] Adding a new autoeval function that score the response based on the provided documents --- prompttools/utils/__init__.py | 2 + prompttools/utils/autoeval_with_docs.py | 72 +++++++++++++++++++++++++ 2 files changed, 74 insertions(+) create mode 100644 prompttools/utils/autoeval_with_docs.py diff --git a/prompttools/utils/__init__.py b/prompttools/utils/__init__.py index 5a130b32..3f79503d 100644 --- a/prompttools/utils/__init__.py +++ b/prompttools/utils/__init__.py @@ -9,6 +9,7 @@ from .autoeval import autoeval_binary_scoring from .autoeval_from_expected import autoeval_from_expected_response from .autoeval_scoring import autoeval_scoring +from .autoeval_with_docs import autoeval_with_documents from .expected import compute_similarity_against_model from .ranking_correlation import ranking_correlation from .similarity import semantic_similarity @@ -20,6 +21,7 @@ "autoeval_binary_scoring", "autoeval_from_expected_response", "autoeval_scoring", + "autoeval_with_documents", "compute_similarity_against_model", "expected", "validate_json", diff --git a/prompttools/utils/autoeval_with_docs.py b/prompttools/utils/autoeval_with_docs.py new file mode 100644 index 00000000..f92d11db --- /dev/null +++ b/prompttools/utils/autoeval_with_docs.py @@ -0,0 +1,72 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + + +import os +import openai +import pandas.core.series +import jinja2 +from .error import PromptToolsUtilityError + + +EVALUATION_SYSTEM_PROMPT = """ +Using the provided documents, determine whether or not the response is accurate. +Your answer should be an integer rating from 0 to 10, with 0 being extremely inaccurate +and 10 being perfectly accurate. Only an integer should be returned in the response. +""" + +EVALUATION_USER_TEMPLATE = """ +DOCUMENTS: +{{documents}} + +RESPONSE: {{response}} +ANSWER: +""" + + +def _get_messages(documents: list[str], response: str): + environment = jinja2.Environment() + template = environment.from_string(EVALUATION_USER_TEMPLATE) + user_message = template.render({"documents": "\n".join(documents), "response": response}) + return [ + {"role": "system", "content": EVALUATION_SYSTEM_PROMPT}, + {"role": "user", "content": user_message}, + ] + + +def compute(documents: list[str], response: str, model: str = "gpt-4") -> float: + r""" + Uses a high quality chat model, like GPT-4, to automatically evaluate a given + prompt/response pair. Outputs can be 0 or 1. + + Args: + documents (list[str]): documents to provide relevant context for the model to judge + model (str): The OpenAI chat model to use for generating an expected response. + Defaults to GPT-4. + """ + if not os.environ["OPENAI_API_KEY"]: + raise PromptToolsUtilityError + evaluation = openai.ChatCompletion.create(model=model, messages=_get_messages(documents, response)) + score_text = evaluation["choices"][0]["message"]["content"] + return int(score_text) + + +def autoeval_with_documents( + row: pandas.core.series.Series, + documents: list[str], + response_column_name: str = "response", +) -> float: + r""" + Given a list of documents, score whether the model response is accurate with "gpt-4" as the judge, + returning an integer score from 0 to 10. + + Args: + row (pandas.core.series.Series): A row of data from the full DataFrame (including input, model response, other + metrics, etc). + documents (list[str]): documents to provide relevant context for the model to judge + response_column_name (str): name of the column that contains the model's response, defaults to ``"response"`` + """ + return compute(documents, row[response_column_name]) From 078c27695d0ce17bb2962aa106af2375bc640e03 Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 2 Oct 2023 17:46:56 -0700 Subject: [PATCH 055/182] Adding the new evaluation to documentation --- docs/source/utils.rst | 2 ++ 1 file changed, 2 insertions(+) diff --git a/docs/source/utils.rst b/docs/source/utils.rst index 0a5c7bf6..05ca2a26 100644 --- a/docs/source/utils.rst +++ b/docs/source/utils.rst @@ -10,6 +10,8 @@ They can also be used with ``prompttest`` for be part of your CI/CD system. .. autofunction:: prompttools.utils.autoeval_scoring +.. autofunction:: prompttools.utils.autoeval_with_documents + .. autofunction:: prompttools.utils.compute_similarity_against_model .. autofunction:: prompttools.utils.ranking_correlation From 0206e8cc85e9f4bcc9fada5538601144828fd4f9 Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 2 Oct 2023 17:47:21 -0700 Subject: [PATCH 056/182] Improving RAG harness to display relevant metadata in the final table --- prompttools/harness/rag_harness.py | 21 +++++++++++++++++---- 1 file changed, 17 insertions(+), 4 deletions(-) diff --git a/prompttools/harness/rag_harness.py b/prompttools/harness/rag_harness.py index 98eea5da..c955c748 100644 --- a/prompttools/harness/rag_harness.py +++ b/prompttools/harness/rag_harness.py @@ -42,7 +42,7 @@ def _generate_doc_prompt(documents: list[str], prompt_or_msg: Union[str, list[di if not is_chat: return doc_prompt else: - new_msg = copy.copy(prompt_or_msg) + new_msg = copy.deepcopy(prompt_or_msg) new_msg[-1]["content"] = doc_prompt return new_msg @@ -59,6 +59,9 @@ class RetrievalAugmentedGenerationExperimentationHarness(ExperimentationHarness) llm_arguments (dict[str, list]): Dictionary of arguments for the LLM. extract_document_fn (Callable): A function, when given a row of results from the vector DB experiment, extract the relevant documents (``list[str]``) that will be inserted into the template. + extract_query_metadata_fn (Callable): A function, when given a row of results from the vector DB experiment, + extract the relevant metadata and return a ``str`` that will be shown for visualization in the final + result table prompt_template (str): A ``jinja``-styled templates, where documents and prompt will be inserted. """ @@ -68,6 +71,7 @@ def __init__( llm_experiment_cls: Type[Experiment], llm_arguments: dict, extract_document_fn: Callable, + extract_query_metadata_fn: Callable, prompt_template: str = DOC_PROMPT_TEMPLATE, ): self.vector_db_experiment = vector_db_experiment @@ -75,6 +79,7 @@ def __init__( self.experiment: Optional[Experiment] = None self.llm_arguments = copy.copy(llm_arguments) self.extract_document_fn = extract_document_fn + self.extract_query_metadata_fn = extract_query_metadata_fn self.prompt_templates = prompt_template def run(self) -> None: @@ -100,12 +105,20 @@ def run(self) -> None: # Run the LLM experiment self.experiment.run() - # TODO: We can clean up results for visualization, ideally show these columns ("top doc ids", "prompt") - # Right now it is displaying the fully augmented prompt for every row, which take up too much space - # Note: Permutation ordering (doc_list1, prompt, then other arguments) self.partial_df = self.experiment.partial_df self.full_df = self.experiment.full_df + # Add "query text" (i.e. the prompt used to retrieve documents from the vector DB) + # to the final results table here + retrieval_n_rows = len(self.vector_db_experiment.full_df) + query_metadata = [ + self.extract_query_metadata_fn(row) for _, row in self.vector_db_experiment.full_df.iterrows() + ] + final_n_row = len(self.full_df) + + self.partial_df["retrieval_metadata"] = [query_metadata[i % retrieval_n_rows] for i in range(final_n_row)] + self.full_df["retrieval_metadata"] = self.partial_df["retrieval_metadata"] + def visualize(self) -> None: if self.experiment is None: self.run() From 7b6b82bb91bdc49c8cedbd6e25cf3c15dbafec89 Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 2 Oct 2023 17:47:40 -0700 Subject: [PATCH 057/182] Significantly improving the RAG example --- .../RetrievalAugmentedGeneration.ipynb | 825 +++++++++++------- 1 file changed, 493 insertions(+), 332 deletions(-) diff --git a/examples/notebooks/vectordb_experiments/RetrievalAugmentedGeneration.ipynb b/examples/notebooks/vectordb_experiments/RetrievalAugmentedGeneration.ipynb index 4122bd87..afbf6b0f 100644 --- a/examples/notebooks/vectordb_experiments/RetrievalAugmentedGeneration.ipynb +++ b/examples/notebooks/vectordb_experiments/RetrievalAugmentedGeneration.ipynb @@ -7,6 +7,15 @@ "# Retrieval Augmented Generation Experiment Example" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Retrieval-augmented generation (RAG) is a technique that improves the quality of large language model (LLM) outputs by grounding the model on external sources of knowledge. RAG works by first retrieving a set of relevant documents from a knowledge base, such as documents stored in a vector database, in response to a given prompt. The retrieved documents are then concatenated with the original prompt and fed to the LLM, which uses them to generate a more informed and accurate response.\n", + "\n", + "As seen from other notebook examples, PromptTools enables you test various LLMs and vector databases independently. For [example](https://github.com/hegelai/prompttools/blob/main/examples/notebooks/vectordb_experiments/ChromaDBExperiment.ipynb), you can provide a prompt to `ChromaDB` to see if the list of returned documents are sufficiently relevant. In this example, we combine the evaluation of vector databases and LLMs and evaluate the final outputs of the whole process." + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -16,8 +25,10 @@ }, { "cell_type": "code", - "execution_count": 1, - "metadata": {}, + "execution_count": null, + "metadata": { + "is_executing": true + }, "outputs": [], "source": [ "# !pip install --quiet --force-reinstall prompttools" @@ -39,7 +50,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -56,7 +67,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -69,25 +80,25 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Setup data for ChromaDB Experiment" + "### Set up data for retrieval with a VectorDB Experiment" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "There are two main steps in Retrieval Augmented Generation. We will start with the retrieval step.\n", + "There are two main steps in Retrieval Augmented Generation. We will start with the first step - retrieval.\n", "\n", - "First, we will setup a vector database experiment. We will insert documents the DB with different embedding functions (vectorizer), and query the results.\n", + "We will set up a vector database experiment. We will insert documents the DB with different embedding functions (vectorizer), and query the results.\n", "\n", - "For this example, we will use ChromaDB, but you use other vector databases as well.\n", + "For this example, we will use ChromaDB, but you use other vector databases (e.g. Weaviate, LanceDB, Qdrant) as well.\n", "\n", "For detailed explanation about each step, have a look at the ChromaDB example notebook." ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -97,9 +108,7 @@ "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/torch/utils/tensorboard/__init__.py:4: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", " if not hasattr(tensorboard, \"__version__\") or LooseVersion(\n", "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/torch/utils/tensorboard/__init__.py:6: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", - " ) < LooseVersion(\"1.15\"):\n", - "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/tensorflow/python/debug/cli/debugger_cli_common.py:19: DeprecationWarning: module 'sre_constants' is deprecated\n", - " import sre_constants\n" + " ) < LooseVersion(\"1.15\"):\n" ] } ], @@ -127,13 +136,17 @@ "\n", "# Documents that will be added into the database\n", "add_to_collection_params = {\n", - " \"documents\": [\"This is a document\", \"This is another document\", \"This is the document.\"],\n", + " \"documents\": [\"Mickey Mouse is the 50th president.\",\n", + " \"The 51st president is Snoopy.\",\n", + " \"Batman became the 52th president briefly after.\"],\n", " \"metadatas\": [{\"source\": \"my_source\"}, {\"source\": \"my_source\"}, {\"source\": \"my_source\"}],\n", " \"ids\": [\"id1\", \"id2\", \"id3\"],\n", "}\n", "\n", "# Our test queries\n", - "query_collection_params = {\"query_texts\": [\"This is a another query document\"]} #[\"This is a query document\", \"This is a another query document\"]}\n", + "query_collection_params = {\"query_texts\": [\"Who was the 50th president?\", \"Who was the 51st president?\"],\n", + " \"n_results\": [1], # You can have the model returns more results if you'd like\n", + " }\n", "\n", "\n", "# Set up the experiment\n", @@ -157,17 +170,15 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "WARNING:chromadb.segment.impl.vector.local_hnsw:Number of requested results 10 is greater than number of elements in index 3, updating n_results = 3\n", "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/chromadb/utils/read_write_lock.py:29: DeprecationWarning: notifyAll() is deprecated, use notify_all() instead\n", - " self._read_ready.notifyAll()\n", - "WARNING:chromadb.segment.impl.vector.local_hnsw:Number of requested results 10 is greater than number of elements in index 3, updating n_results = 3\n" + " self._read_ready.notifyAll()\n" ] }, { @@ -191,6 +202,7 @@ " \n", " \n", " \n", + " query_texts\n", " embed_fn\n", " top doc ids\n", " distances\n", @@ -201,40 +213,56 @@ " \n", " \n", " 0\n", + " Who was the 50th president?\n", " paraphrase-MiniLM-L3-v2\n", - " [id2, id3, id1]\n", - " [13.375584602355957, 16.815608978271484, 16.913410186767578]\n", - " [This is another document, This is the document., This is a document]\n", - " 0.008317\n", + " [id2]\n", + " [21.199106216430664]\n", + " [The 51st president is Snoopy.]\n", + " 0.007107\n", " \n", " \n", " 1\n", + " Who was the 51st president?\n", + " paraphrase-MiniLM-L3-v2\n", + " [id2]\n", + " [13.693190574645996]\n", + " [The 51st president is Snoopy.]\n", + " 0.005465\n", + " \n", + " \n", + " 2\n", + " Who was the 50th president?\n", + " default\n", + " [id1]\n", + " [0.617713212966919]\n", + " [Mickey Mouse is the 50th president.]\n", + " 0.019721\n", + " \n", + " \n", + " 3\n", + " Who was the 51st president?\n", " default\n", - " [id2, id1, id3]\n", - " [0.7673601508140564, 0.8709302544593811, 0.9072309732437134]\n", - " [This is another document, This is a document, This is the document.]\n", - " 0.022273\n", + " [id2]\n", + " [0.6116843819618225]\n", + " [The 51st president is Snoopy.]\n", + " 0.019985\n", " \n", " \n", "\n", "" ], "text/plain": [ - " embed_fn top doc ids \\\n", - "0 paraphrase-MiniLM-L3-v2 [id2, id3, id1] \n", - "1 default [id2, id1, id3] \n", - "\n", - " distances \\\n", - "0 [13.375584602355957, 16.815608978271484, 16.913410186767578] \n", - "1 [0.7673601508140564, 0.8709302544593811, 0.9072309732437134] \n", - "\n", - " documents \\\n", - "0 [This is another document, This is the document., This is a document] \n", - "1 [This is another document, This is a document, This is the document.] \n", - "\n", - " latency \n", - "0 0.008317 \n", - "1 0.022273 " + " query_texts embed_fn top doc ids \\\n", + "0 Who was the 50th president? paraphrase-MiniLM-L3-v2 [id2] \n", + "1 Who was the 51st president? paraphrase-MiniLM-L3-v2 [id2] \n", + "2 Who was the 50th president? default [id1] \n", + "3 Who was the 51st president? default [id2] \n", + "\n", + " distances documents latency \n", + "0 [21.199106216430664] [The 51st president is Snoopy.] 0.007107 \n", + "1 [13.693190574645996] [The 51st president is Snoopy.] 0.005465 \n", + "2 [0.617713212966919] [Mickey Mouse is the 50th president.] 0.019721 \n", + "3 [0.6116843819618225] [The 51st president is Snoopy.] 0.019985 " ] }, "metadata": {}, @@ -245,6 +273,17 @@ "vdb_experiment.visualize()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Notice how the first embedding function returns \"The 51st president is Snoopy\" for both queries. This inaccuracy is going to cause problem as we pass the documents into the LLM, because it will not have the right context to answer questions.\n", + "\n", + "At this point, you have results from the retrieval step. If you wish to evaluate how relevant the retrieved documents are, you can. The [ChromaDB notebook example](https://github.com/hegelai/prompttools/blob/main/examples/notebooks/vectordb_experiments/ChromaDBExperiment.ipynb) shows you how you may do that. We will skip that here for brevity.\n", + "\n", + "It is often worthwhile to independently evaluate the retrieval step." + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -267,18 +306,18 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "These are the arguments we will use for our LLM experiment `OpenAICompletionExperiment`. For an example with `OpenAIChatExperiment` (that uses `gpt-3.5-turbo`, scroll further below)." + "These are the arguments we will use for our LLM experiment `OpenAICompletionExperiment`. For an example with `OpenAIChatExperiment` (that uses `gpt-3.5-turbo`, scroll further below).\n" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "models = [\"babbage-002\"] # If you want to use \"gpt-3,5-turbo\", look further below for an example\n", - "prompts = [\"What happened on 01/01/2025?\", \"Who is the 50th president?\"]\n", - "temperatures = [0.0, 1.0]\n", + "prompts = [\"Who is the 50th president?\", \"Who is the 51st president?\"]\n", + "temperatures = [1.0] # You can test multiple temperate or other parameters as wel\n", "# You can add more parameters that you'd like to test here.\n", "\n", "llm_arguments = {\"model\": models, \"prompt\": prompts, \"temperature\": temperatures}" @@ -288,17 +327,23 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "This function extracts the list of documents from each row of the vector DB experiment result." + "We define two functions:\n", + "1. Extracts the list of documents from each row of the vector DB experiment result. These lists will be passed to the LLM during the generation process.\n", + "2. Generate a string of relevant metadata based on the row. This will be used later for visualization." ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "def _extract_doc_from_row(row: 'pandas.core.series.Series'):\n", - " return row['documents']" + " return row['documents']\n", + "\n", + "\n", + "def _extract_query_metadata_from_row(row: 'pandas.core.series.Series'):\n", + " return f\"emb_fn: {row['embed_fn']}, prompt: {row['query_texts']}\"" ] }, { @@ -310,7 +355,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -319,22 +364,21 @@ " llm_experiment_cls = OpenAICompletionExperiment,\n", " llm_arguments = llm_arguments,\n", " extract_document_fn = _extract_doc_from_row,\n", + " extract_query_metadata_fn = _extract_query_metadata_from_row,\n", ")" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "WARNING:chromadb.segment.impl.vector.local_hnsw:Number of requested results 10 is greater than number of elements in index 3, updating n_results = 3\n", "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/chromadb/utils/read_write_lock.py:29: DeprecationWarning: notifyAll() is deprecated, use notify_all() instead\n", - " self._read_ready.notifyAll()\n", - "WARNING:chromadb.segment.impl.vector.local_hnsw:Number of requested results 10 is greater than number of elements in index 3, updating n_results = 3\n" + " self._read_ready.notifyAll()\n" ] }, { @@ -359,112 +403,112 @@ " \n", " \n", " prompt\n", - " temperature\n", " response\n", " latency\n", + " retrieval_metadata\n", " \n", " \n", " \n", " \n", " 0\n", - " Given these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWhat happened on 01/01/2025?\n", - " 0.0\n", - " \\nThis is a document\\nThis is a document\\nThis is a document\\n\n", - " 0.319791\n", + " Given these documents:\\nThe 51st president is Snoopy.\\n\\nWho is the 50th president?\n", + " 1 Like her bear.\\nview more\\n\\nLucas Cook is asking for help\n", + " 0.316887\n", + " emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 50th president?\n", " \n", " \n", " 1\n", - " Given these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWhat happened on 01/01/2025?\n", - " 1.0\n", - " \\n\\nReferences in the Notes on this topic contain only a text, not the entire\n", - " 0.195658\n", + " Given these documents:\\nThe 51st president is Snoopy.\\n\\nWho is the 51st president?\n", + " What is the photo tag?\\n\\nSnoopy's aversion to being called a\n", + " 0.200568\n", + " emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 51st president?\n", " \n", " \n", " 2\n", - " Given these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWho is the 50th president?\n", - " 0.0\n", - " \\nA. George Washington\\nB. Abraham Lincoln\\nC. John F.\n", - " 0.204074\n", + " Given these documents:\\nThe 51st president is Snoopy.\\n\\nWho is the 50th president?\n", + " [The 49th and 50th presidents] are Bobo.\\n\\nWho\n", + " 0.187423\n", + " emb_fn: default, prompt: Who was the 50th president?\n", " \n", " \n", " 3\n", - " Given these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWho is the 50th president?\n", - " 1.0\n", - " There are 31 documents.\\n 25\\nSimon is a 67-year-old\n", - " 0.193998\n", + " Given these documents:\\nThe 51st president is Snoopy.\\n\\nWho is the 51st president?\n", + " Tricky — and if you stick to the facts, you might figure it out\n", + " 0.186136\n", + " emb_fn: default, prompt: Who was the 51st president?\n", " \n", " \n", " 4\n", - " Given these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWhat happened on 01/01/2025?\n", - " 0.0\n", - " The first document is the same as the second document, but the second document is\n", - " 0.216036\n", + " Given these documents:\\nMickey Mouse is the 50th president.\\n\\nWho is the 50th president?\n", + " [/color]\\n\\nOkay. So that pretty much answers that.'\\n\\nNow, we just\n", + " 0.217461\n", + " emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 50th president?\n", " \n", " \n", " 5\n", - " Given these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWhat happened on 01/01/2025?\n", - " 1.0\n", - " Let's STO(1) see.\\n```\\nAssetWare::STO\n", - " 0.201545\n", + " Given these documents:\\nMickey Mouse is the 50th president.\\n\\nWho is the 51st president?\n", + " To get answers to these questions and others like it, Disney has produced a historical\n", + " 0.192069\n", + " emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 51st president?\n", " \n", " \n", " 6\n", - " Given these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWho is the 50th president?\n", - " 0.0\n", - " (A) The 50th president is the 50th president is the\n", - " 0.202507\n", + " Given these documents:\\nThe 51st president is Snoopy.\\n\\nWho is the 50th president?\n", + " See the answer with this poem.\\nCorrect answer is Ronald Reagan \\n\\nWhich 200\n", + " 0.182476\n", + " emb_fn: default, prompt: Who was the 50th president?\n", " \n", " \n", " 7\n", - " Given these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWho is the 50th president?\n", - " 1.0\n", - " The documents say 50th is President George, the document that George Bush\n", - " 0.196210\n", + " Given these documents:\\nThe 51st president is Snoopy.\\n\\nWho is the 51st president?\n", + " \\nThe 51st president thereby ceased to be president when he wrote the document\n", + " 0.193127\n", + " emb_fn: default, prompt: Who was the 51st president?\n", " \n", " \n", "\n", "" ], "text/plain": [ - " prompt \\\n", - "0 Given these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWhat happened on 01/01/2025? \n", - "1 Given these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWhat happened on 01/01/2025? \n", - "2 Given these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWho is the 50th president? \n", - "3 Given these documents:\\nThis is another document\\nThis is the document.\\nThis is a document\\n\\nWho is the 50th president? \n", - "4 Given these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWhat happened on 01/01/2025? \n", - "5 Given these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWhat happened on 01/01/2025? \n", - "6 Given these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWho is the 50th president? \n", - "7 Given these documents:\\nThis is another document\\nThis is a document\\nThis is the document.\\n\\nWho is the 50th president? \n", - "\n", - " temperature \\\n", - "0 0.0 \n", - "1 1.0 \n", - "2 0.0 \n", - "3 1.0 \n", - "4 0.0 \n", - "5 1.0 \n", - "6 0.0 \n", - "7 1.0 \n", - "\n", - " response \\\n", - "0 \\nThis is a document\\nThis is a document\\nThis is a document\\n \n", - "1 \\n\\nReferences in the Notes on this topic contain only a text, not the entire \n", - "2 \\nA. George Washington\\nB. Abraham Lincoln\\nC. John F. \n", - "3 There are 31 documents.\\n 25\\nSimon is a 67-year-old \n", - "4 The first document is the same as the second document, but the second document is \n", - "5 Let's STO(1) see.\\n```\\nAssetWare::STO \n", - "6 (A) The 50th president is the 50th president is the \n", - "7 The documents say 50th is President George, the document that George Bush \n", - "\n", - " latency \n", - "0 0.319791 \n", - "1 0.195658 \n", - "2 0.204074 \n", - "3 0.193998 \n", - "4 0.216036 \n", - "5 0.201545 \n", - "6 0.202507 \n", - "7 0.196210 " + " prompt \\\n", + "0 Given these documents:\\nThe 51st president is Snoopy.\\n\\nWho is the 50th president? \n", + "1 Given these documents:\\nThe 51st president is Snoopy.\\n\\nWho is the 51st president? \n", + "2 Given these documents:\\nThe 51st president is Snoopy.\\n\\nWho is the 50th president? \n", + "3 Given these documents:\\nThe 51st president is Snoopy.\\n\\nWho is the 51st president? \n", + "4 Given these documents:\\nMickey Mouse is the 50th president.\\n\\nWho is the 50th president? \n", + "5 Given these documents:\\nMickey Mouse is the 50th president.\\n\\nWho is the 51st president? \n", + "6 Given these documents:\\nThe 51st president is Snoopy.\\n\\nWho is the 50th president? \n", + "7 Given these documents:\\nThe 51st president is Snoopy.\\n\\nWho is the 51st president? \n", + "\n", + " response \\\n", + "0 1 Like her bear.\\nview more\\n\\nLucas Cook is asking for help \n", + "1 What is the photo tag?\\n\\nSnoopy's aversion to being called a \n", + "2 [The 49th and 50th presidents] are Bobo.\\n\\nWho \n", + "3 Tricky — and if you stick to the facts, you might figure it out \n", + "4 [/color]\\n\\nOkay. So that pretty much answers that.'\\n\\nNow, we just \n", + "5 To get answers to these questions and others like it, Disney has produced a historical \n", + "6 See the answer with this poem.\\nCorrect answer is Ronald Reagan \\n\\nWhich 200 \n", + "7  \\nThe 51st president thereby ceased to be president when he wrote the document \n", + "\n", + " latency \\\n", + "0 0.316887 \n", + "1 0.200568 \n", + "2 0.187423 \n", + "3 0.186136 \n", + "4 0.217461 \n", + "5 0.192069 \n", + "6 0.182476 \n", + "7 0.193127 \n", + "\n", + " retrieval_metadata \n", + "0 emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 50th president? \n", + "1 emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 51st president? \n", + "2 emb_fn: default, prompt: Who was the 50th president? \n", + "3 emb_fn: default, prompt: Who was the 51st president? \n", + "4 emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 50th president? \n", + "5 emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 51st president? \n", + "6 emb_fn: default, prompt: Who was the 50th president? \n", + "7 emb_fn: default, prompt: Who was the 51st president? " ] }, "metadata": {}, @@ -480,12 +524,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "You can also do the same thing with a LLM chat model, such as GPT-3.5-turbo." + "As you can see, the `\"babbage-002\"` is not very good despite having the right documents/context. We will use GPT-3.5 next." ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -497,10 +541,10 @@ " ],\n", " [\n", " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", - " {\"role\": \"user\", \"content\": \"What happened on 01/01/2025?\"},\n", + " {\"role\": \"user\", \"content\": \"Who was the 51st president?\"},\n", " ]\n", "]\n", - "temperatures = [0.0, 1.0]\n", + "temperatures = [1.0] # You can test multiple temperate or other parameters as wel\n", "# You can add more parameters that you'd like to test here.\n", "\n", "llm_chat_arguments = {\"model\": chat_models, \"messages\": messages, \"temperature\": temperatures}" @@ -508,17 +552,15 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "WARNING:chromadb.segment.impl.vector.local_hnsw:Number of requested results 10 is greater than number of elements in index 3, updating n_results = 3\n", "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/chromadb/utils/read_write_lock.py:29: DeprecationWarning: notifyAll() is deprecated, use notify_all() instead\n", - " self._read_ready.notifyAll()\n", - "WARNING:chromadb.segment.impl.vector.local_hnsw:Number of requested results 10 is greater than number of elements in index 3, updating n_results = 3\n" + " self._read_ready.notifyAll()\n" ] }, { @@ -542,273 +584,161 @@ " \n", " \n", " \n", - " temperature\n", " messages\n", " response\n", " latency\n", + " retrieval_metadata\n", " \n", " \n", " \n", " \n", " 0\n", - " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", - "This is another document\n", - "This is a document\n", - "This is the document.\n", - "\n", - "Given these documents:\n", - "This is another document\n", - "This is the document.\n", - "This is a document\n", + "The 51st president is Snoopy.\n", "\n", "Who was the 50th president?'}]\n", - " As of my knowledge, there have been 46 presidents of the United States. Therefore, there is no 50th president.\n", - " 1.649850\n", + " Based on the given document that states \"The 51st president is Snoopy,\" we can infer that the 50th president remains unknown or unspecified.\n", + " 0.869082\n", + " emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 50th president?\n", " \n", " \n", " 1\n", - " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", - "This is another document\n", - "This is a document\n", - "This is the document.\n", - "\n", - "Given these documents:\n", - "This is another document\n", - "This is the document.\n", - "This is a document\n", + "The 51st president is Snoopy.\n", "\n", - "Who was the 50th president?'}]\n", - " As of my knowledge, there have only been 46 presidents of the United States, with the current president being Joe Biden. Therefore, there has not been a 50th president yet.\n", - " 1.842281\n", + "Who was the 51st president?'}]\n", + " According to the given document, the 51st president was Snoopy.\n", + " 0.572129\n", + " emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 51st president?\n", " \n", " \n", " 2\n", - " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", - "This is another document\n", - "This is a document\n", - "This is the document.\n", - "\n", - "Given these documents:\n", - "This is another document\n", - "This is the document.\n", - "This is a document\n", + "The 51st president is Snoopy.\n", "\n", - "What happened on 01/01/2025?'}]\n", - " Based on the given information, there is no mention of any events or activities that occurred on 01/01/2025.\n", - " 1.428515\n", + "Who was the 50th president?'}]\n", + " Based on the information provided, it is not explicitly stated who the 50th president was.\n", + " 0.464698\n", + " emb_fn: default, prompt: Who was the 50th president?\n", " \n", " \n", " 3\n", - " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", - "This is another document\n", - "This is a document\n", - "This is the document.\n", + "The 51st president is Snoopy.\n", "\n", - "Given these documents:\n", - "This is another document\n", - "This is the document.\n", - "This is a document\n", - "\n", - "What happened on 01/01/2025?'}]\n", - " Based on the given information, we do not have any specific information about what happened on 01/01/2025. It is not mentioned in the provided documents.\n", - " 1.734258\n", + "Who was the 51st president?'}]\n", + " According to the information provided, the 51st president is Snoopy.\n", + " 0.439752\n", + " emb_fn: default, prompt: Who was the 51st president?\n", " \n", " \n", " 4\n", - " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", - "This is another document\n", - "This is a document\n", - "This is the document.\n", - "\n", - "Given these documents:\n", - "This is another document\n", - "This is the document.\n", - "This is a document\n", + "Mickey Mouse is the 50th president.\n", "\n", "Who was the 50th president?'}]\n", - " As of my knowledge, there have been 46 presidents of the United States. Therefore, there is no 50th president.\n", - " 1.443996\n", + " Based on the given document, Mickey Mouse is stated as the 50th president. However, I should note that Mickey Mouse is a fictional character and not an actual president in real life.\n", + " 0.995162\n", + " emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 50th president?\n", " \n", " \n", " 5\n", - " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", - "This is another document\n", - "This is a document\n", - "This is the document.\n", - "\n", - "Given these documents:\n", - "This is another document\n", - "This is the document.\n", - "This is a document\n", + "Mickey Mouse is the 50th president.\n", "\n", - "Who was the 50th president?'}]\n", - " There is currently no 50th president as there have only been 46 presidents in the United States as of October 2021.\n", - " 1.351932\n", + "Who was the 51st president?'}]\n", + " Based on the information given, I cannot determine who the 51st president was.\n", + " 0.383972\n", + " emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 51st president?\n", " \n", " \n", " 6\n", - " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", - "This is another document\n", - "This is a document\n", - "This is the document.\n", - "\n", - "Given these documents:\n", - "This is another document\n", - "This is the document.\n", - "This is a document\n", + "The 51st president is Snoopy.\n", "\n", - "What happened on 01/01/2025?'}]\n", - " Based on the given documents, there is no information about what happened on 01/01/2025.\n", - " 1.207891\n", + "Who was the 50th president?'}]\n", + " Based on the given information, the 50th president is not mentioned in the documents provided.\n", + " 0.540173\n", + " emb_fn: default, prompt: Who was the 50th president?\n", " \n", " \n", " 7\n", - " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", - "This is another document\n", - "This is a document\n", - "This is the document.\n", + "The 51st president is Snoopy.\n", "\n", - 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"This is a document\n", + "The 51st president is Snoopy.\n", "\n", - "Who was the 50th president?'}] \n", + "Who was the 50th president?'}] \n", "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", - "This is another document\n", - "This is a document\n", - "This is the document.\n", - "\n", - "Given these documents:\n", - "This is another document\n", - "This is the document.\n", - "This is a document\n", + "The 51st president is Snoopy.\n", "\n", - "Who was the 50th president?'}] \n", + "Who was the 51st president?'}] \n", "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", - "This is another document\n", - "This is a document\n", - "This is the document.\n", + "The 51st president is Snoopy.\n", "\n", - "Given these documents:\n", - "This is another document\n", - "This is the document.\n", - "This is a document\n", - "\n", - "What happened on 01/01/2025?'}] \n", + "Who was the 50th president?'}] \n", "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", - "This is another document\n", - "This is a document\n", - "This is the document.\n", - "\n", - "Given these documents:\n", - "This is another document\n", - "This is the document.\n", - "This is a document\n", + "The 51st president is Snoopy.\n", "\n", - "What happened on 01/01/2025?'}] \n", + "Who was the 51st president?'}] \n", "4 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", - "This is another document\n", - "This is a document\n", - "This is the document.\n", - "\n", - "Given these documents:\n", - "This is another document\n", - "This is the document.\n", - "This is a document\n", + "Mickey Mouse is the 50th president.\n", "\n", - "Who was the 50th president?'}] \n", + "Who was the 50th president?'}] \n", "5 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", - "This is another document\n", - "This is a document\n", - "This is the document.\n", + "Mickey Mouse is the 50th president.\n", "\n", - "Given these documents:\n", - "This is another document\n", - "This is the document.\n", - "This is a document\n", - "\n", - "Who was the 50th president?'}] \n", + "Who was the 51st president?'}] \n", "6 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", - "This is another document\n", - "This is a document\n", - "This is the document.\n", - "\n", - "Given these documents:\n", - "This is another document\n", - "This is the document.\n", - "This is a document\n", + "The 51st president is Snoopy.\n", "\n", - "What happened on 01/01/2025?'}] \n", + "Who was the 50th president?'}] \n", "7 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", - "This is another document\n", - "This is a document\n", - "This is the document.\n", - "\n", - "Given these documents:\n", - "This is another document\n", - "This is the document.\n", - "This is a document\n", - "\n", - "What happened on 01/01/2025?'}] \n", - "\n", - " response \\\n", - "0 As of my knowledge, there have been 46 presidents of the United States. Therefore, there is no 50th president. \n", - "1 As of my knowledge, there have only been 46 presidents of the United States, with the current president being Joe Biden. Therefore, there has not been a 50th president yet. \n", - "2 Based on the given information, there is no mention of any events or activities that occurred on 01/01/2025. \n", - "3 Based on the given information, we do not have any specific information about what happened on 01/01/2025. It is not mentioned in the provided documents. \n", - "4 As of my knowledge, there have been 46 presidents of the United States. Therefore, there is no 50th president. \n", - "5 There is currently no 50th president as there have only been 46 presidents in the United States as of October 2021. \n", - "6 Based on the given documents, there is no information about what happened on 01/01/2025. \n", - "7 Based on the given information, there is no mention of any events or activities that occurred on January 1, 2025. \n", - "\n", - " latency \n", - "0 1.649850 \n", - "1 1.842281 \n", - "2 1.428515 \n", - "3 1.734258 \n", - "4 1.443996 \n", - "5 1.351932 \n", - "6 1.207891 \n", - "7 1.534629 " + "The 51st president is Snoopy.\n", + "\n", + "Who was the 51st president?'}] \n", + "\n", + " response \\\n", + "0 Based on the given document that states \"The 51st president is Snoopy,\" we can infer that the 50th president remains unknown or unspecified. \n", + "1 According to the given document, the 51st president was Snoopy. \n", + "2 Based on the information provided, it is not explicitly stated who the 50th president was. \n", + "3 According to the information provided, the 51st president is Snoopy. \n", + "4 Based on the given document, Mickey Mouse is stated as the 50th president. However, I should note that Mickey Mouse is a fictional character and not an actual president in real life. \n", + "5 Based on the information given, I cannot determine who the 51st president was. \n", + "6 Based on the given information, the 50th president is not mentioned in the documents provided. \n", + "7 According to the given document, the 51st president is Snoopy. \n", + "\n", + " latency \\\n", + "0 0.869082 \n", + "1 0.572129 \n", + "2 0.464698 \n", + "3 0.439752 \n", + "4 0.995162 \n", + "5 0.383972 \n", + "6 0.540173 \n", + "7 0.716542 \n", + "\n", + " retrieval_metadata \n", + "0 emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 50th president? \n", + "1 emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 51st president? \n", + "2 emb_fn: default, prompt: Who was the 50th president? \n", + "3 emb_fn: default, prompt: Who was the 51st president? \n", + "4 emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 50th president? \n", + "5 emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 51st president? \n", + "6 emb_fn: default, prompt: Who was the 50th president? \n", + "7 emb_fn: default, prompt: Who was the 51st president? " ] }, "metadata": {}, @@ -821,12 +751,243 @@ " llm_experiment_cls = OpenAIChatExperiment,\n", " llm_arguments = llm_chat_arguments,\n", " extract_document_fn = _extract_doc_from_row,\n", + " extract_query_metadata_fn = _extract_query_metadata_from_row,\n", ")\n", "\n", "rag_experiment_2.run()\n", "rag_experiment_2.visualize()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The results from GPT-3.5 looks much better, but some answers are wrong/missing because the retrieval step didn't get the right document. Let's automatically evaluate all the final responses." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Evaluate the model response" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To evaluate the results, you can either define your own evaluation function or use a built-in one provided by our library.\n", + "\n", + "In this case, we will use the built-in `autoeval_with_documents`. Given a list of documents, it will score whether the model response is accurate with \"gpt-4\" as the judge, returning an integer score from 0 to 10.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "The 51st president is Snoopy.\n", + "\n", + "Who was the 50th president?'}]Based on the given document that states \"The 51st president is Snoopy,\" we can infer that the 50th president remains unknown or unspecified.0.869082emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 50th president?0
1[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "The 51st president is Snoopy.\n", + "\n", + "Who was the 51st president?'}]According to the given document, the 51st president was Snoopy.0.572129emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 51st president?10
2[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "The 51st president is Snoopy.\n", + "\n", + "Who was the 50th president?'}]Based on the information provided, it is not explicitly stated who the 50th president was.0.464698emb_fn: default, prompt: Who was the 50th president?0
3[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "The 51st president is Snoopy.\n", + "\n", + "Who was the 51st president?'}]According to the information provided, the 51st president is Snoopy.0.439752emb_fn: default, prompt: Who was the 51st president?10
4[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "Mickey Mouse is the 50th president.\n", + "\n", + "Who was the 50th president?'}]Based on the given document, Mickey Mouse is stated as the 50th president. However, I should note that Mickey Mouse is a fictional character and not an actual president in real life.0.995162emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 50th president?10
5[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "Mickey Mouse is the 50th president.\n", + "\n", + "Who was the 51st president?'}]Based on the information given, I cannot determine who the 51st president was.0.383972emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 51st president?0
6[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "The 51st president is Snoopy.\n", + "\n", + "Who was the 50th president?'}]Based on the given information, the 50th president is not mentioned in the documents provided.0.540173emb_fn: default, prompt: Who was the 50th president?0
7[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "The 51st president is Snoopy.\n", + "\n", + "Who was the 51st president?'}]According to the given document, the 51st president is Snoopy.0.716542emb_fn: default, prompt: Who was the 51st president?10
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" + ], + "text/plain": [ + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "The 51st president is Snoopy.\n", + "\n", + "Who was the 50th president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "The 51st president is Snoopy.\n", + "\n", + "Who was the 51st president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "The 51st president is Snoopy.\n", + "\n", + "Who was the 50th president?'}] \n", + "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "The 51st president is Snoopy.\n", + "\n", + "Who was the 51st president?'}] \n", + "4 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "Mickey Mouse is the 50th president.\n", + "\n", + "Who was the 50th president?'}] \n", + "5 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "Mickey Mouse is the 50th president.\n", + "\n", + "Who was the 51st president?'}] \n", + "6 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "The 51st president is Snoopy.\n", + "\n", + "Who was the 50th president?'}] \n", + "7 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Given these documents:\n", + "The 51st president is Snoopy.\n", + "\n", + "Who was the 51st president?'}] \n", + "\n", + " response \\\n", + "0 Based on the given document that states \"The 51st president is Snoopy,\" we can infer that the 50th president remains unknown or unspecified. \n", + "1 According to the given document, the 51st president was Snoopy. \n", + "2 Based on the information provided, it is not explicitly stated who the 50th president was. \n", + "3 According to the information provided, the 51st president is Snoopy. \n", + "4 Based on the given document, Mickey Mouse is stated as the 50th president. However, I should note that Mickey Mouse is a fictional character and not an actual president in real life. \n", + "5 Based on the information given, I cannot determine who the 51st president was. \n", + "6 Based on the given information, the 50th president is not mentioned in the documents provided. \n", + "7 According to the given document, the 51st president is Snoopy. \n", + "\n", + " latency \\\n", + "0 0.869082 \n", + "1 0.572129 \n", + "2 0.464698 \n", + "3 0.439752 \n", + "4 0.995162 \n", + "5 0.383972 \n", + "6 0.540173 \n", + "7 0.716542 \n", + "\n", + " retrieval_metadata Score \n", + "0 emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 50th president? 0 \n", + "1 emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 51st president? 10 \n", + "2 emb_fn: default, prompt: Who was the 50th president? 0 \n", + "3 emb_fn: default, prompt: Who was the 51st president? 10 \n", + "4 emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 50th president? 10 \n", + "5 emb_fn: paraphrase-MiniLM-L3-v2, prompt: Who was the 51st president? 0 \n", + "6 emb_fn: default, prompt: Who was the 50th president? 0 \n", + "7 emb_fn: default, prompt: Who was the 51st president? 10 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from prompttools.utils import autoeval_with_documents\n", + "\n", + "documents = [\"Mickey Mouse is the 50th president.\",\n", + " \"The 51st president is Snoopy.\",\n", + " \"Batman became the 52th president briefly after.\"]\n", + "\n", + "rag_experiment_2.evaluate(\"Score\", autoeval_with_documents, documents=[documents] * 8)\n", + "rag_experiment_2.visualize()" + ] + }, { "cell_type": "code", "execution_count": null, From a79bcb73b218804b6921a1f512a5cfc0d07e1a9f Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 2 Oct 2023 18:46:45 -0700 Subject: [PATCH 058/182] Guard pylint due to epylint deprecation and removal --- prompttools/utils/validate_python.py | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/prompttools/utils/validate_python.py b/prompttools/utils/validate_python.py index f7728694..9b3790dd 100644 --- a/prompttools/utils/validate_python.py +++ b/prompttools/utils/validate_python.py @@ -9,7 +9,11 @@ from typing import Dict import pandas.core.series from .error import PromptToolsUtilityError -from pylint import epylint as lint + +try: + from pylint import epylint as lint +except ImportError: + lint = None PROMPTTOOLS_TMP = "prompttools_tmp.py" @@ -21,6 +25,11 @@ def validate(text: str): Args: text (str): The generated text, which should be valid python. """ + if lint is None: + raise RuntimeError( + "Our built-in `validate_python` function requires pylint<3.0. Please use a custom eval function." + "Feel free to open a GitHub issue or PR." + ) if os.path.isfile(PROMPTTOOLS_TMP): raise PromptToolsUtilityError with open(PROMPTTOOLS_TMP, "w") as f: From 206ca7bfbf6d6a2ac7f80ea5784e029b0d7b2f84 Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 3 Oct 2023 16:30:52 -0400 Subject: [PATCH 059/182] Adding chunk_text utility function --- docs/source/utils.rst | 2 ++ prompttools/utils/__init__.py | 2 ++ prompttools/utils/chunk_text.py | 34 +++++++++++++++++++++++++++++++++ 3 files changed, 38 insertions(+) create mode 100644 prompttools/utils/chunk_text.py diff --git a/docs/source/utils.rst b/docs/source/utils.rst index 05ca2a26..9754cd67 100644 --- a/docs/source/utils.rst +++ b/docs/source/utils.rst @@ -12,6 +12,8 @@ They can also be used with ``prompttest`` for be part of your CI/CD system. .. autofunction:: prompttools.utils.autoeval_with_documents +.. autofunction:: prompttools.utils.chunk_text + .. autofunction:: prompttools.utils.compute_similarity_against_model .. autofunction:: prompttools.utils.ranking_correlation diff --git a/prompttools/utils/__init__.py b/prompttools/utils/__init__.py index 3f79503d..543c2b2b 100644 --- a/prompttools/utils/__init__.py +++ b/prompttools/utils/__init__.py @@ -10,6 +10,7 @@ from .autoeval_from_expected import autoeval_from_expected_response from .autoeval_scoring import autoeval_scoring from .autoeval_with_docs import autoeval_with_documents +from .chunk_text import chunk_text from .expected import compute_similarity_against_model from .ranking_correlation import ranking_correlation from .similarity import semantic_similarity @@ -22,6 +23,7 @@ "autoeval_from_expected_response", "autoeval_scoring", "autoeval_with_documents", + "chunk_text", "compute_similarity_against_model", "expected", "validate_json", diff --git a/prompttools/utils/chunk_text.py b/prompttools/utils/chunk_text.py new file mode 100644 index 00000000..63782c35 --- /dev/null +++ b/prompttools/utils/chunk_text.py @@ -0,0 +1,34 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + + +def chunk_text(text: str, max_chunk_length: int) -> list[str]: + r""" + Given a long string paragraph of text and a chunk max length, returns chunks of texts where each chunk's + length is smaller than the max length, without breaking up individual words (separated by space). + + Args: + text (str): source text to be chunked + max_chunk_length (int): maximum length of a chunk + """ + + words = text.split() + chunks = [] + current_chunk = "" + + for word in words: + if len(current_chunk) + len(word) + 1 <= max_chunk_length: + if current_chunk: + current_chunk += " " + current_chunk += word + else: + chunks.append(current_chunk) + current_chunk = word + + if current_chunk: + chunks.append(current_chunk) + + return chunks From ae1f16eb1d14466d2e462f36b4a4b8f42368833f Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 3 Oct 2023 16:31:04 -0400 Subject: [PATCH 060/182] Updating Chroma example with chunking step --- .../ChromaDBExperiment.ipynb | 79 ++++++++++++++++++- 1 file changed, 75 insertions(+), 4 deletions(-) diff --git a/examples/notebooks/vectordb_experiments/ChromaDBExperiment.ipynb b/examples/notebooks/vectordb_experiments/ChromaDBExperiment.ipynb index b261ffdb..2f1da0dd 100644 --- a/examples/notebooks/vectordb_experiments/ChromaDBExperiment.ipynb +++ b/examples/notebooks/vectordb_experiments/ChromaDBExperiment.ipynb @@ -113,7 +113,9 @@ "source": [ "Next, we create our test inputs. In this case, we would like to create a new ChromaDB collection.\n", "\n", - "During the experiment, for each embedding function, a new ChromaDB collection will be temporarily created. The documents will be added into it. Then, we will query from it and examine the results." + "During the experiment, for each embedding function, a new ChromaDB collection will be temporarily created. The documents will be added into it. Then, we will query from it and examine the results.\n", + "\n", + "You can test different chunking and pre-processing strategies by changing the input to the `\"documents\"` key of the dictionary. We will show a more complete example further below." ] }, { @@ -140,12 +142,21 @@ "use_existing_collection = False # Specify that we want to create a collection during the experiment\n", "\n", "# Documents that will be added into the database\n", + "# Based on your chunking and pre-processing steps, the `documents` will be different\n", "add_to_collection_params = {\n", " \"documents\": [\"This is a document\", \"This is another document\", \"This is the document.\"],\n", " \"metadatas\": [{\"source\": \"my_source\"}, {\"source\": \"my_source\"}, {\"source\": \"my_source\"}],\n", " \"ids\": [\"id1\", \"id2\", \"id3\"],\n", - "}\n", - "\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "61551c2d", + "metadata": {}, + "outputs": [], + "source": [ "# Our test queries\n", "query_collection_params = {\"query_texts\": [\"This is a query document\", \"This is a another query document\"]}\n", "\n", @@ -652,7 +663,67 @@ "id": "aaf4a45b", "metadata": {}, "source": [ - "You can also use auto evaluation. We will add an example of this in the near future." + "You can also use auto evaluation, which is shown in the RAG notebook example." + ] + }, + { + "cell_type": "markdown", + "id": "6df2f997", + "metadata": {}, + "source": [ + "## Chunking and Pre-Processing" + ] + }, + { + "cell_type": "markdown", + "id": "77a0e841", + "metadata": {}, + "source": [ + "You may want to test various chunking and pre-processsing strategies prior to storing your documents into your vector database. One example of doing that is below.\n", + "\n", + "We have a built-in `chunk_text` function that allows you to chunk a source documents into chunks of varying maximum length.\n", + "\n", + "After we generate the desired documents, we can set up the rest of the experiments in the same way as above. We will then run, evalaute, aggregate, and save the results.\n", + "\n", + "We want to compute an aggregate score for each chunking strategy, this will allow us to compared different chunking/pre-processing strategies and choose the best one." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e5f45654", + "metadata": {}, + "outputs": [], + "source": [ + "from prompttools.utils import chunk_text\n", + "\n", + "source_document = \"The United States of America (U.S.A. or USA), commonly known as the United States (U.S. or US) or simply America, is a country primarily located in North America and consisting of 50 states, a federal district, five major unincorporated territories, and nine Minor Outlying Islands.[i] It includes 326 Indian reservations. It is the world's third-largest country by both land and total area.[c] It shares land borders with Canada to its north and with Mexico to its south and has maritime borders with the Bahamas, Cuba, Russia, and other nations.[j] With a population of over 333 million,[k] it is the most populous country in the Americas and the third-most populous in the world. The national capital of the United States is Washington, D.C., and its most populous city and principal financial center is New York City.\"\n", + "\n", + "for max_chunk_len in [20, 30, 40]: # Test different chunking strategy\n", + " # Create documents for each strategy\n", + " doc_chunks = chunk_text(source_document, max_chunk_len)\n", + " n_doc = len(doc_chunks)\n", + " metadatas = [{\"source\": \"my_source\"}] * n_doc\n", + " ids = [\"id\" + str(i) for i in range(n_doc)]\n", + " # Build the relevant parameters to write into ChromaDB\n", + " add_to_collection_params = {\n", + " \"documents\": doc_chunks,\n", + " \"metadatas\": metadatas,\n", + " \"ids\": ids,\n", + " }\n", + " # Next steps: as shown in the previous code and other notebook examples\n", + " # 1. Set up the rest of your experiment\n", + " # 2. Run Experiment\n", + " # 3. Evaluate the results from this chunking strate\n", + " # 4. Aggregate and save the results" + ] + }, + { + "cell_type": "markdown", + "id": "1b781911", + "metadata": {}, + "source": [ + "You can further integrate this vector DB experiment with the RetrievalAugmentedGeneration (RAG) experiment. Please see the Retrieval Augmented Generation notebook example." ] } ], From 11a940ecfe36bf8dba8e384f08a9aecddb413d40 Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 3 Oct 2023 16:31:24 -0400 Subject: [PATCH 061/182] Updating RAG example to mention chunking and reference ChromaDb example --- .../vectordb_experiments/ChromaDBExperiment.ipynb | 8 ++++---- .../RetrievalAugmentedGeneration.ipynb | 4 ++-- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/examples/notebooks/vectordb_experiments/ChromaDBExperiment.ipynb b/examples/notebooks/vectordb_experiments/ChromaDBExperiment.ipynb index 2f1da0dd..00ad9774 100644 --- a/examples/notebooks/vectordb_experiments/ChromaDBExperiment.ipynb +++ b/examples/notebooks/vectordb_experiments/ChromaDBExperiment.ipynb @@ -668,7 +668,7 @@ }, { "cell_type": "markdown", - "id": "6df2f997", + "id": "7e05aa49", "metadata": {}, "source": [ "## Chunking and Pre-Processing" @@ -676,7 +676,7 @@ }, { "cell_type": "markdown", - "id": "77a0e841", + "id": "4c182d44", "metadata": {}, "source": [ "You may want to test various chunking and pre-processsing strategies prior to storing your documents into your vector database. One example of doing that is below.\n", @@ -691,7 +691,7 @@ { "cell_type": "code", "execution_count": null, - "id": "e5f45654", + "id": "feb8311c", "metadata": {}, "outputs": [], "source": [ @@ -720,7 +720,7 @@ }, { "cell_type": "markdown", - "id": "1b781911", + "id": "b6cc4d14", "metadata": {}, "source": [ "You can further integrate this vector DB experiment with the RetrievalAugmentedGeneration (RAG) experiment. Please see the Retrieval Augmented Generation notebook example." diff --git a/examples/notebooks/vectordb_experiments/RetrievalAugmentedGeneration.ipynb b/examples/notebooks/vectordb_experiments/RetrievalAugmentedGeneration.ipynb index afbf6b0f..53aa390c 100644 --- a/examples/notebooks/vectordb_experiments/RetrievalAugmentedGeneration.ipynb +++ b/examples/notebooks/vectordb_experiments/RetrievalAugmentedGeneration.ipynb @@ -91,9 +91,9 @@ "\n", "We will set up a vector database experiment. We will insert documents the DB with different embedding functions (vectorizer), and query the results.\n", "\n", - "For this example, we will use ChromaDB, but you use other vector databases (e.g. Weaviate, LanceDB, Qdrant) as well.\n", + "For this example, we will use ChromaDB, but you use other vector databases (e.g. Weaviate, LanceDB, Qdrant) as well. You can also experiment over different distance function and query methods if desired.\n", "\n", - "For detailed explanation about each step, have a look at the ChromaDB example notebook." + "For detailed explanation about each step, have a look at the [ChromaDB example notebook](https://github.com/hegelai/prompttools/blob/main/examples/notebooks/vectordb_experiments/ChromaDBExperiment.ipynb). It also discusses how you can try different chunk and pre-processing strategies as you insert documents into the database." ] }, { From 32f0da3ded6497519b306bdbb61f98fd55fb0c00 Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Tue, 3 Oct 2023 14:45:07 -0700 Subject: [PATCH 062/182] Update to version 0.0.35 --- docs/source/conf.py | 2 +- prompttools/version.py | 4 ++-- pyproject.toml | 2 +- version.txt | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 357b0cb1..416ea35c 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -11,7 +11,7 @@ project = "prompttools" copyright = "2023, Hegel AI" author = "Hegel AI" -release = "0.0.34" +release = "0.0.35" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/prompttools/version.py b/prompttools/version.py index ae5e6f47..925d5f0f 100644 --- a/prompttools/version.py +++ b/prompttools/version.py @@ -1,2 +1,2 @@ -__version__ = '0.0.34a0+4b2e0f2' -git_version = '4b2e0f229fcc03fcb77e0ed6da52d0f304eeb7c2' +__version__ = '0.0.35a0+11a940e' +git_version = '11a940ecfe36bf8dba8e384f08a9aecddb413d40' diff --git a/pyproject.toml b/pyproject.toml index 8cf278c8..b052a0e5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "prompttools" -version = "0.0.34" +version = "0.0.35" authors = [ { name="Hegel AI", email="team@hegel-ai.com" }, ] diff --git a/version.txt b/version.txt index a87addd5..b79eb54d 100644 --- a/version.txt +++ b/version.txt @@ -1 +1 @@ -0.0.34a0 +0.0.35a0 From 007efc81fd47669e70b5ace1fab0abaeb77ec102 Mon Sep 17 00:00:00 2001 From: "Steven Krawczyk (Hegel AI)" Date: Wed, 4 Oct 2023 09:56:26 -0700 Subject: [PATCH 063/182] Add playground support for replicate (#92) --- .../experiments/google_palm_experiment.py | 2 -- .../experiments/openai_function_experiment.py | 7 ------ .../experiments/replicate_experiment.py | 8 +++++++ prompttools/playground/constants.py | 4 ++++ prompttools/playground/data_loader.py | 22 +++++++++++++++++-- prompttools/playground/playground.py | 21 +++++++++++++----- 6 files changed, 47 insertions(+), 17 deletions(-) delete mode 100644 prompttools/experiment/experiments/openai_function_experiment.py diff --git a/prompttools/experiment/experiments/google_palm_experiment.py b/prompttools/experiment/experiments/google_palm_experiment.py index bac292cb..4ea7fa5c 100644 --- a/prompttools/experiment/experiments/google_palm_experiment.py +++ b/prompttools/experiment/experiments/google_palm_experiment.py @@ -83,8 +83,6 @@ def __init__( # render the prompts from the selector if isinstance(prompt[0], PromptSelector): prompt = [selector.for_palm() for selector in prompt] - else: - prompt = prompt self.all_args = dict( model=model, diff --git a/prompttools/experiment/experiments/openai_function_experiment.py b/prompttools/experiment/experiments/openai_function_experiment.py deleted file mode 100644 index 95973343..00000000 --- a/prompttools/experiment/experiments/openai_function_experiment.py +++ /dev/null @@ -1,7 +0,0 @@ -# Copyright (c) Hegel AI, Inc. -# All rights reserved. -# -# This source code's license can be found in the -# LICENSE file in the root directory of this source tree. - -# TODO: Coming soon diff --git a/prompttools/experiment/experiments/replicate_experiment.py b/prompttools/experiment/experiments/replicate_experiment.py index f99a5ec0..b180a604 100644 --- a/prompttools/experiment/experiments/replicate_experiment.py +++ b/prompttools/experiment/experiments/replicate_experiment.py @@ -11,6 +11,8 @@ from prompttools.mock.mock import mock_replicate_stable_diffusion_completion_fn from IPython.display import display, HTML from tabulate import tabulate + +from prompttools.selector.prompt_selector import PromptSelector from ..widgets.utility import is_interactive @@ -58,6 +60,12 @@ def __init__( os.environ["REPLICATE_API_TOKEN"] except KeyError: raise RuntimeError('`os.environ["REPLICATE_API_TOKEN]` needs to be set.') + + # If we are using a prompt selector, we need to + # render the prompts from the selector + if isinstance(input_kwargs['prompt'][0], PromptSelector): + input_kwargs['prompt'] = [selector.for_llama() for selector in input_kwargs['prompt']] + self.models = models self.input_kwargs = input_kwargs self.model_specific_kwargs = model_specific_kwargs diff --git a/prompttools/playground/constants.py b/prompttools/playground/constants.py index 2d2ac3f3..73b0ac4c 100644 --- a/prompttools/playground/constants.py +++ b/prompttools/playground/constants.py @@ -11,8 +11,10 @@ from prompttools.experiment import AnthropicCompletionExperiment from prompttools.experiment import GooglePaLMCompletionExperiment from prompttools.experiment import HuggingFaceHubExperiment +from prompttools.experiment import ReplicateExperiment ENVIRONMENT_VARIABLE = { + "Replicate": "REPLICATE_API_TOKEN", "OpenAI Chat": "OPENAI_API_KEY", "OpenAI Completion": "OPENAI_API_KEY", "Anthropic": "ANTHROPIC_API_KEY", @@ -27,6 +29,7 @@ "Anthropic": AnthropicCompletionExperiment, "Google PaLM": GooglePaLMCompletionExperiment, "HuggingFace Hub": HuggingFaceHubExperiment, + "Replicate": ReplicateExperiment, } MODES = ("Instruction", "Prompt Template", "Model Comparison") @@ -39,6 +42,7 @@ "LlamaCpp Chat", "LlamaCpp Completion", "HuggingFace Hub", + "Replicate", ) OPENAI_CHAT_MODELS = ( diff --git a/prompttools/playground/data_loader.py b/prompttools/playground/data_loader.py index 241f895c..d5aee79e 100644 --- a/prompttools/playground/data_loader.py +++ b/prompttools/playground/data_loader.py @@ -60,6 +60,11 @@ def load_data( experiment = EXPERIMENTS[model_type]([model], selectors, temperature=[temperature]) elif model_type == "Google PaLM": experiment = EXPERIMENTS[model_type]([model], selectors, temperature=[temperature]) + elif model_type == "Replicate": + input_kwargs = {"prompt": selectors, + "temperature": [temperature]} + model_specific_kwargs = {model: {}} + experiment = EXPERIMENTS[model_type]([model], input_kwargs, model_specific_kwargs) return experiment.to_pandas_df() @@ -74,6 +79,7 @@ def run_multiple( anthropic_api_key=None, google_api_key=None, hf_api_key=None, + replicate_api_key=None, ): import os @@ -85,14 +91,26 @@ def run_multiple( os.environ["GOOGLE_PALM_API_KEY"] = google_api_key if hf_api_key: os.environ["HUGGINGFACEHUB_API_TOKEN"] = hf_api_key + if replicate_api_key: + os.environ["REPLICATE_API_TOKEN"] = replicate_api_key dfs = [] for i in range(len(models)): # TODO Support temperature and other parameters selectors = [] if i + 1 in instructions: selectors = [PromptSelector(instructions[i + 1], prompt) for prompt in prompts] - experiment = EXPERIMENTS[model_types[i]]([models[i]], selectors) + if model_types[i] == "Replicate": + input_kwargs = {"prompt": selectors} + model_specific_kwargs = {models[i]: {}} + experiment = EXPERIMENTS[model_types[i]]([models[i]], input_kwargs, model_specific_kwargs) + else: + experiment = EXPERIMENTS[model_types[i]]([models[i]], selectors) else: - experiment = EXPERIMENTS[model_types[i]]([models[i]], prompts) + if model_types[i] == "Replicate": + input_kwargs = {"prompt": prompts} + model_specific_kwargs = {models[i]: {}} + experiment = EXPERIMENTS[model_types[i]]([models[i]], input_kwargs, model_specific_kwargs) + else: + experiment = EXPERIMENTS[model_types[i]]([models[i]], prompts) dfs.append(experiment.to_pandas_df()) return dfs diff --git a/prompttools/playground/playground.py b/prompttools/playground/playground.py index d4db5017..fc443fac 100644 --- a/prompttools/playground/playground.py +++ b/prompttools/playground/playground.py @@ -62,6 +62,9 @@ elif model_type == "OpenAI Completion": model = st.selectbox("Model", OPENAI_COMPLETION_MODELS, key="model") api_key = st.text_input("OpenAI API Key", type="password") + elif model_type == "Replicate": + model = st.text_input("Model", key="model") + api_key = st.text_input("Replicate API Key", type="password") variable_count = 0 if mode == "Prompt Template": @@ -93,7 +96,7 @@ key=f"varname_{i}", ) ) - temperature = st.slider("Temperature", min_value=0.0, max_value=1.0, value=0.0, step=0.01, key="temperature") + temperature = st.slider("Temperature", min_value=0.01 if model_type == "Replicate" else 0.0, max_value=1.0, value=0.01 if model_type == "Replicate" else 0.0, step=0.01, key="temperature") top_p = None max_tokens = None presence_penalty = None @@ -114,11 +117,12 @@ anthropic_api_key = st.text_input("Anthropic Key", type="password") google_api_key = st.text_input("Google PaLM Key", type="password") hf_api_key = st.text_input("HuggingFace Hub Key", type="password") + replicate_api_key = st.text_input("Replicate API Key", type="password") if mode == "Instruction": - placeholders = [[st.empty() for _ in range(instruction_count + 1)] for _ in range(prompt_count)] - # placeholders = [] + # placeholders = [[st.empty() for _ in range(instruction_count + 1)] for _ in range(prompt_count)] + placeholders = [] cols = st.columns(instruction_count + 1) @@ -168,7 +172,8 @@ link = "https://prompttools.streamlit.app?" link += "mode=" + urllib.parse.quote(mode) link += "&model_type=" + urllib.parse.quote(model_type) - link += "&model=" + urllib.parse.quote(model) + if model: + link += "&model=" + urllib.parse.quote(model) link += "&instruction=" + urllib.parse.quote(instructions[0]) link += "&prompt=" + urllib.parse.quote(prompts[0]) @@ -188,12 +193,12 @@ st.session_state.df = df for i in range(len(prompts)): for j in range(len(instructions)): - placeholders[i][j + 1].markdown(df["response"][i + len(prompts) * j]) + placeholders[i][j].markdown(df["response"][i + len(prompts) * j]) elif "df" in st.session_state and not clear: df = st.session_state.df for i in range(len(prompts)): for j in range(len(instructions)): - placeholders[i][j + 1].markdown(df["response"][i + len(prompts) * j]) + placeholders[i][j].markdown(df["response"][i + len(prompts) * j]) elif mode == "Prompt Template": instruction = None if model_type == "LlamaCpp Chat": @@ -300,6 +305,7 @@ "LlamaCpp Chat", "LlamaCpp Completion", "HuggingFace Hub", + "Replicate", ), key=f"type_{j}", ) @@ -314,6 +320,9 @@ models.append(st.text_input("Repo ID", key=f"model_id_{j}")) elif model_types[j - 1] == "Google PaLM": models.append(st.text_input("Model", key=f"palm_model_{j}")) + elif model_types[j - 1] == "Replicate": + models.append(st.text_input("Model", key=f"replicate_model_{j}")) + instructions[j] = st.text_area("Instruction", key=f"instruction_{j}") elif model_types[j - 1] == "Anthropic": models.append(st.selectbox("Model", ("claude-2", "claude-instant-1"), key=f"anthropic_{j}")) elif model_types[j - 1] == "OpenAI Chat": From a29909108d9d08a9fd19462f866f74c6cd40e4e9 Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Wed, 4 Oct 2023 10:28:26 -0700 Subject: [PATCH 064/182] Add packages.txt to streamlit app --- prompttools/playground/packages.txt | 1 + 1 file changed, 1 insertion(+) create mode 100644 prompttools/playground/packages.txt diff --git a/prompttools/playground/packages.txt b/prompttools/playground/packages.txt new file mode 100644 index 00000000..61520f90 --- /dev/null +++ b/prompttools/playground/packages.txt @@ -0,0 +1 @@ +pkg-config \ No newline at end of file From b87346b7db47f062ff439ef096c19f23a4f60c31 Mon Sep 17 00:00:00 2001 From: Tony Kipkemboi Date: Thu, 5 Oct 2023 16:23:36 -0400 Subject: [PATCH 065/182] fixed sentence in readme (#93) --- examples/notebooks/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/notebooks/README.md b/examples/notebooks/README.md index 50587d77..23b48d5c 100644 --- a/examples/notebooks/README.md +++ b/examples/notebooks/README.md @@ -1,6 +1,6 @@ ## Notebook Examples -In this folder, you will find various examples of how you can `prompttools` for +In this folder, you will find various examples of how you can use `prompttools` for various experimentation and testing. Often, you can simply change a few parameters and put in your own test data to make `prompttools` suitable for your use case. From 3cab7b32115a6ce20380ec8e8de42a4b851e74da Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Thu, 5 Oct 2023 14:27:02 -0700 Subject: [PATCH 066/182] Update to version 0.0.36 --- docs/source/conf.py | 2 +- prompttools/version.py | 4 ++-- pyproject.toml | 2 +- version.txt | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 416ea35c..a93cbc56 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -11,7 +11,7 @@ project = "prompttools" copyright = "2023, Hegel AI" author = "Hegel AI" -release = "0.0.35" +release = "0.0.36" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/prompttools/version.py b/prompttools/version.py index 925d5f0f..a13926e1 100644 --- a/prompttools/version.py +++ b/prompttools/version.py @@ -1,2 +1,2 @@ -__version__ = '0.0.35a0+11a940e' -git_version = '11a940ecfe36bf8dba8e384f08a9aecddb413d40' +__version__ = '0.0.36a0+b87346b' +git_version = 'b87346b7db47f062ff439ef096c19f23a4f60c31' diff --git a/pyproject.toml b/pyproject.toml index b052a0e5..337f2e91 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "prompttools" -version = "0.0.35" +version = "0.0.36" authors = [ { name="Hegel AI", email="team@hegel-ai.com" }, ] diff --git a/version.txt b/version.txt index b79eb54d..b2da20ac 100644 --- a/version.txt +++ b/version.txt @@ -1 +1 @@ -0.0.35a0 +0.0.36a0 From 558011d9f11154e683c1c785ab2ecd845b70ee03 Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Thu, 5 Oct 2023 16:11:54 -0700 Subject: [PATCH 067/182] Add replicate to requirements for playground --- prompttools/playground/requirements.txt | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/prompttools/playground/requirements.txt b/prompttools/playground/requirements.txt index ffbcaf82..e2053a61 100644 --- a/prompttools/playground/requirements.txt +++ b/prompttools/playground/requirements.txt @@ -4,4 +4,5 @@ huggingface_hub llama-cpp-python anthropic pyperclip -google-generativeai \ No newline at end of file +google-generativeai +replicate \ No newline at end of file From 4d70f6d226bf913289139af2aef1549d4e2c42cc Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Thu, 5 Oct 2023 16:50:37 -0700 Subject: [PATCH 068/182] Pass replicate key --- prompttools/playground/playground.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/prompttools/playground/playground.py b/prompttools/playground/playground.py index fc443fac..178ec86d 100644 --- a/prompttools/playground/playground.py +++ b/prompttools/playground/playground.py @@ -372,7 +372,7 @@ if run: dfs = run_multiple( - model_types, models, instructions, prompts, openai_api_key, anthropic_api_key, google_api_key, hf_api_key + model_types, models, instructions, prompts, openai_api_key, anthropic_api_key, google_api_key, hf_api_key, replicate_api_key ) st.session_state.dfs = dfs for i in range(len(prompts)): From ca02ceb49f89e67240a3413ca02bce33c089f895 Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 9 Oct 2023 10:29:24 -0400 Subject: [PATCH 069/182] Handling duplicate column name in Experiment DataFrame --- prompttools/experiment/experiments/experiment.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/prompttools/experiment/experiments/experiment.py b/prompttools/experiment/experiments/experiment.py index 3763805d..d9e0c545 100644 --- a/prompttools/experiment/experiments/experiment.py +++ b/prompttools/experiment/experiments/experiment.py @@ -241,7 +241,11 @@ def _construct_result_dfs( if extract_response_equal_full_result: result_df = response_df else: - result_df = pd.concat([response_df, pd.DataFrame(results)], axis=1) + # Handle the case where `input_arg_df` has the same column names as `result_df` + result_df = pd.DataFrame(results) + common_columns = set(input_arg_df.columns) & set(result_df.columns) + result_df = result_df.add_prefix("response_") if common_columns else result_df + result_df = pd.concat([response_df, result_df], axis=1) # `score_df` contains computed metrics (e.g. latency, evaluation metrics) self.score_df = pd.DataFrame({"latency": latencies}) From bffcfc55bf0e6b86b47516717b1b24b784612fcb Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 9 Oct 2023 10:29:33 -0400 Subject: [PATCH 070/182] Example --- examples/notebooks/test_app.ipynb | 1131 +++++++++++++++++ .../experiments/openai_chat_experiment.py | 60 + 2 files changed, 1191 insertions(+) create mode 100644 examples/notebooks/test_app.ipynb diff --git a/examples/notebooks/test_app.ipynb b/examples/notebooks/test_app.ipynb new file mode 100644 index 00000000..ac620587 --- /dev/null +++ b/examples/notebooks/test_app.ipynb @@ -0,0 +1,1131 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Save Experiment to Server Example" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from prompttools.experiment import OpenAIChatExperiment\n", + "\n", + "import os\n", + "\n", + "os.environ[\"OPENAI_API_KEY\"] = \"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "models = [\"gpt-3.5-turbo\"]\n", + "messages = [\n", + " [\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", + " {\"role\": \"user\", \"content\": \"Who was the first president?\"},\n", + " ]\n", + "]\n", + "temperatures = [0.0, 1.0]\n", + "# You can add more parameters that you'd like to test here.\n", + "\n", + "experiment = OpenAIChatExperiment(models, messages, temperature=temperatures)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " temperature \\\n", + "0 0.0 \n", + "1 1.0 \n", + "2 0.0 \n", + "3 1.0 \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "2 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "3 The first president of the United States was George Washington. He served as the nation's first president from 1789 to 1797. \n", + "\n", + " latency \n", + "0 1.683780 \n", + "1 0.991504 \n", + "2 1.111189 \n", + "3 0.960242 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "experiment_from_load.run()\n", + "experiment_from_load.visualize()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Run Experiment on Server Example" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Response:\n", + "200\n" + ] + } + ], + "source": [ + "import requests\n", + "import json\n", + "\n", + "url = \"http://127.0.0.1:5000/experiment/run\"\n", + "\n", + "model = [\"gpt-3.5-turbo\"]\n", + "messages = [\n", + " [\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", + " {\"role\": \"user\", \"content\": \"Who was the first president?\"},\n", + " ]\n", + "]\n", + "temperature = [0.0, 1.0]\n", + "\n", + "\n", + "input_parameters = {\n", + " 'experiment_name': 'RUNNING_ON_SERVER_SIDE_TEST',\n", + " 'model': models,\n", + " 'messages': messages,\n", + " 'temperature': temperature,\n", + "}\n", + "\n", + "headers = {\n", + " \"OPENAI_API_KEY\": os.environ[\"OPENAI_API_KEY\"],\n", + " \"Content-Type\": \"application/json\"\n", + "}\n", + "\n", + "\n", + "response = requests.post(url, headers=headers, data=json.dumps(input_parameters))\n", + "\n", + "# Print the response\n", + "print(\"Response:\")\n", + "print(response.status_code)\n", + "# print(response.json())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "Checking results..." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sending HTTP GET request...\n", + "Loaded experiment.\n" + ] + }, + { + "data": { + "text/html": [ + "
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modelmessagestemperaturetop_pnstreampresence_penaltyfrequency_penaltyresponseresponse_idresponse_objectresponse_createdresponse_modelresponse_choicesresponse_usagelatency
0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]0.01.01False0.00.0The first president of the United States was George Washington. He served as president from 1789 to 1797.chatcmpl-87elWGXAZOUy5u9cZpt9wK81fb8Tichat.completion1696835690gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47}1.008068
1gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]1.01.01False0.00.0The first president of the United States was George Washington.chatcmpl-87elYz68OyUCwP8ZBoW9KGszgKuq5chat.completion1696835692gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}0.957149
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" + ], + "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "\n", + " temperature top_p n stream presence_penalty frequency_penalty \\\n", + "0 0.0 1.0 1 False 0.0 0.0 \n", + "1 1.0 1.0 1 False 0.0 0.0 \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. \n", + "\n", + " response_id response_object response_created \\\n", + "0 chatcmpl-87elWGXAZOUy5u9cZpt9wK81fb8Ti chat.completion 1696835690 \n", + "1 chatcmpl-87elYz68OyUCwP8ZBoW9KGszgKuq5 chat.completion 1696835692 \n", + "\n", + " response_model \\\n", + "0 gpt-3.5-turbo-0613 \n", + "1 gpt-3.5-turbo-0613 \n", + "\n", + " response_choices \\\n", + "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", + "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}] \n", + "\n", + " response_usage \\\n", + "0 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", + "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", + "\n", + " latency \n", + "0 1.008068 \n", + "1 0.957149 " + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "experiment_from_load = OpenAIChatExperiment.load_experiment(\"9697a0dd-d603-4443-beec-bd6fd0b9126f\")\n", + "experiment_from_load.full_df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Feedback" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Received data: Field updated or inserted successfully.\n" + ] + } + ], + "source": [ + "import requests\n", + "import json\n", + "\n", + "api_url = \"http://127.0.0.1:5000/experiment/add_feedback/\"\n", + "\n", + "# Specify the data for the POST request\n", + "data = {\n", + " \"log_id\": \"65239810e9aee9e6d2cbc482\",\n", + " \"metric_name\": \"CUSTOM_METRIC\",\n", + " \"value\": 123,\n", + "}\n", + "\n", + "# Make the POST request\n", + "response = requests.post(api_url, json=data)\n", + "\n", + "# Check the response\n", + "if response.status_code == 200:\n", + " # Deserialize the response if it contains JSON data\n", + " data = response.json()\n", + " print(\"Received data:\", data)\n", + "else:\n", + " print(f\"Error: {response.status_code}, {response.text}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sending HTTP GET request...\n", + "Loaded experiment.\n" + ] + }, + { + "data": { + "text/html": [ + "
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modelmessagestemperaturetop_pnstreampresence_penaltyfrequency_penaltyresponseresponse_idresponse_objectresponse_createdresponse_modelresponse_choicesresponse_usagelatencyCUSTOM_METRIC
0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]0.01.01False0.00.0The first president of the United States was George Washington. He served as president from 1789 to 1797.chatcmpl-87dUDKRQCO6Bq1PdPJLfF3vsXeluEchat.completion1696830773gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47}0.859089123.0
1gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]1.01.01False0.00.0The first president of the United States was George Washington.chatcmpl-87dUEABSL6dfbEQqDw6Mc61cKh42schat.completion1696830774gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}1.121416NaN
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" + ], + "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "\n", + " temperature top_p n stream presence_penalty frequency_penalty \\\n", + "0 0.0 1.0 1 False 0.0 0.0 \n", + "1 1.0 1.0 1 False 0.0 0.0 \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. \n", + "\n", + " response_id response_object response_created \\\n", + "0 chatcmpl-87dUDKRQCO6Bq1PdPJLfF3vsXeluE chat.completion 1696830773 \n", + "1 chatcmpl-87dUEABSL6dfbEQqDw6Mc61cKh42s chat.completion 1696830774 \n", + "\n", + " response_model \\\n", + "0 gpt-3.5-turbo-0613 \n", + "1 gpt-3.5-turbo-0613 \n", + "\n", + " response_choices \\\n", + "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", + "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}] \n", + "\n", + " response_usage \\\n", + "0 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", + "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", + "\n", + " latency CUSTOM_METRIC \n", + "0 0.859089 123.0 \n", + "1 1.121416 NaN " + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "experiment_from_load = OpenAIChatExperiment.load_experiment('c5f7e53f-7c69-474e-aa4a-b9df17efca45')\n", + "experiment_from_load.full_df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index f8a7226c..2d1d1481 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -6,12 +6,15 @@ import os import json +import pickle from typing import Dict, List, Optional, Union import openai +import requests from prompttools.selector.prompt_selector import PromptSelector from prompttools.mock.mock import mock_openai_chat_completion_fn, mock_openai_chat_function_completion_fn from .experiment import Experiment +import pandas as pd class OpenAIChatExperiment(Experiment): @@ -168,3 +171,60 @@ def _get_model_names(self): def _get_prompts(self): return [self.prompt_keys[str(combo["messages"][-1]["content"])] for combo in self.argument_combos] + + def _get_state(self, name: str): + state_params = { + "prompt_keys": self.prompt_keys, + "all_args": self.all_args, + } + partial_col_names = self.partial_df.columns.tolist() + score_col_names = self.score_df.columns.tolist() + state = ( + name, + state_params, + self.full_df, + partial_col_names, + score_col_names, + ) + print("Creating serialized state of experiment...") + serialized_state = pickle.dumps(state) + return serialized_state + + def save_experiment(self, name: str): + state = self._get_state(name) + url = "http://127.0.0.1:5000/experiment/save" + headers = {"Content-Type": "application/octet-stream"} # Use a binary content type for pickled data + print("Sending HTTP POST request...") + response = requests.post(url, data=state, headers=headers) + return response + + @classmethod + def load_experiment(cls, uuid: str): + url = f"http://127.0.0.1:5000/experiment/load/{uuid}" + headers = {"Content-Type": "application/octet-stream"} # Use a binary content type for pickled data + print("Sending HTTP GET request...") + response = requests.get(url, headers=headers) + if response.status_code == 200: + state = pickle.loads(response.content) # Note that state should not have `name` included + return cls._load_state(state) + else: + print(f"Error: {response.status_code}, {response.text}") + + @classmethod + def _load_state(cls, state): + ( + state_params, + full_df, + partial_col_names, + score_col_names, + ) = state + + all_args, prompt_keys = state_params["all_args"], state_params["prompt_keys"] + experiment = cls(all_args["model"], all_args["messages"]) + experiment.prompt_keys = prompt_keys + experiment.all_args = all_args + experiment.full_df = pd.DataFrame(full_df) + experiment.partial_df = experiment.full_df[partial_col_names].copy() + experiment.score_df = experiment.full_df[score_col_names].copy() + print("Loaded experiment.") + return experiment From 2ce8262ab69fbb8b0e3469282641d797e41a6ba6 Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Tue, 10 Oct 2023 08:34:52 -0700 Subject: [PATCH 071/182] Update autoeval --- examples/notebooks/AutoEval.ipynb | 116 ++++++++++++++---------------- 1 file changed, 55 insertions(+), 61 deletions(-) diff --git a/examples/notebooks/AutoEval.ipynb b/examples/notebooks/AutoEval.ipynb index c0b8e47f..0de3661b 100644 --- a/examples/notebooks/AutoEval.ipynb +++ b/examples/notebooks/AutoEval.ipynb @@ -59,7 +59,7 @@ "source": [ "import os\n", "\n", - "os.environ[\"DEBUG\"] = \"1\" # Set to \"1\" if you want to use debug mode.\n", + "os.environ[\"DEBUG\"] = \"\" # Set to \"1\" if you want to use debug mode.\n", "os.environ[\"OPENAI_API_KEY\"] = \"\"" ] }, @@ -117,7 +117,7 @@ "\"\"\",\n", "]\n", "\n", - "inputs = [{\"input\": \"is 17077 a prime number\"}, {\"input\": \"Is 17077 prime?\"}]\n", + "inputs = [\"is 17077 a prime number\", \"Is 17077 prime?\"]\n", "\n", "selectors = [PromptSelector(instructions[i], inputs[j]) for i in range(len(instructions)) for j in range(len(inputs))]" ] @@ -176,57 +176,51 @@ " \n", " \n", " prompt\n", - " response(s)\n", + " response\n", " latency\n", " \n", " \n", " \n", " \n", " 0\n", - " \\nAnswer the following question. \\nIf it is not prime, give its decomposition.\n", - " \\n\\n93\\nIt is not a prime number, its decomposition is 3\n", - " 1.993576\n", + " INSTRUCTION:\\n\\nAnswer the following question. \\nIf it is not prime, give its decomposition.\\n\\nPROMPT:\\nis 17077 a prime number\\nRESPONSE:\\n\n", + " No, 17077 is not a prime number. Its decomposition is 13\n", + " 0.970505\n", " \n", " \n", " 1\n", - " \\nAnswer the following question. \\nIf it is not prime, give its decomposition.\n", - " \\n\\n45\\n\\n45 = 3 x 3 x 5\n", - " 0.908900\n", + " INSTRUCTION:\\n\\nAnswer the following question. \\nIf it is not prime, give its decomposition.\\n\\nPROMPT:\\nIs 17077 prime?\\nRESPONSE:\\n\n", + " No, 17077 is not prime. Its decomposition is 79 x 215\n", + " 0.895672\n", " \n", " \n", " 2\n", - " \\nAnswer the following question.\n", - " \\n\\nWhat is the meaning of the phrase \"catching some z's\"?\\n\n", - " 0.922788\n", + " INSTRUCTION:\\n\\nAnswer the following question.\\n\\nPROMPT:\\nis 17077 a prime number\\nRESPONSE:\\n\n", + " No, 17077 is not a prime number. It is divisible by\n", + " 1.149236\n", " \n", " \n", " 3\n", - " \\nAnswer the following question.\n", - " \\n\\nIn what ways might information literacy skills help students succeed in their studies?\n", - " 1.075018\n", + " INSTRUCTION:\\n\\nAnswer the following question.\\n\\nPROMPT:\\nIs 17077 prime?\\nRESPONSE:\\n\n", + " No, 17077 is not a prime number. 17077 is div\n", + " 0.921796\n", " \n", " \n", "\n", "" ], "text/plain": [ - " prompt \\\n", - "0 \\nAnswer the following question. \\nIf it is not prime, give its decomposition. \n", - "1 \\nAnswer the following question. \\nIf it is not prime, give its decomposition. \n", - "2 \\nAnswer the following question. \n", - "3 \\nAnswer the following question. \n", + " prompt \\\n", + "0 INSTRUCTION:\\n\\nAnswer the following question. \\nIf it is not prime, give its decomposition.\\n\\nPROMPT:\\nis 17077 a prime number\\nRESPONSE:\\n \n", + "1 INSTRUCTION:\\n\\nAnswer the following question. \\nIf it is not prime, give its decomposition.\\n\\nPROMPT:\\nIs 17077 prime?\\nRESPONSE:\\n \n", + "2 INSTRUCTION:\\n\\nAnswer the following question.\\n\\nPROMPT:\\nis 17077 a prime number\\nRESPONSE:\\n \n", + "3 INSTRUCTION:\\n\\nAnswer the following question.\\n\\nPROMPT:\\nIs 17077 prime?\\nRESPONSE:\\n \n", "\n", - " response(s) \\\n", - "0 \\n\\n93\\nIt is not a prime number, its decomposition is 3 \n", - "1 \\n\\n45\\n\\n45 = 3 x 3 x 5 \n", - "2 \\n\\nWhat is the meaning of the phrase \"catching some z's\"?\\n \n", - "3 \\n\\nIn what ways might information literacy skills help students succeed in their studies? \n", - "\n", - " latency \n", - "0 1.993576 \n", - "1 0.908900 \n", - "2 0.922788 \n", - "3 1.075018 " + " response latency \n", + "0 No, 17077 is not a prime number. Its decomposition is 13 0.970505 \n", + "1 No, 17077 is not prime. Its decomposition is 79 x 215 0.895672 \n", + "2 No, 17077 is not a prime number. It is divisible by 1.149236 \n", + "3 No, 17077 is not a prime number. 17077 is div 0.921796 " ] }, "metadata": {}, @@ -300,7 +294,7 @@ " \n", " \n", " prompt\n", - " response(s)\n", + " response\n", " latency\n", " followed_directions\n", " \n", @@ -308,54 +302,54 @@ " \n", " \n", " 0\n", - " \\nAnswer the following question. \\nIf it is not prime, give its decomposition.\n", - " \\n\\n93\\nIt is not a prime number, its decomposition is 3\n", - " 1.993576\n", + " INSTRUCTION:\\n\\nAnswer the following question. \\nIf it is not prime, give its decomposition.\\n\\nPROMPT:\\nis 17077 a prime number\\nRESPONSE:\\n\n", + " No, 17077 is not a prime number. Its decomposition is 13\n", + " 0.970505\n", " 0.0\n", " \n", " \n", " 1\n", - " \\nAnswer the following question. \\nIf it is not prime, give its decomposition.\n", - " \\n\\n45\\n\\n45 = 3 x 3 x 5\n", - " 0.908900\n", + " INSTRUCTION:\\n\\nAnswer the following question. \\nIf it is not prime, give its decomposition.\\n\\nPROMPT:\\nIs 17077 prime?\\nRESPONSE:\\n\n", + " No, 17077 is not prime. Its decomposition is 79 x 215\n", + " 0.895672\n", " 1.0\n", " \n", " \n", " 2\n", - " \\nAnswer the following question.\n", - " \\n\\nWhat is the meaning of the phrase \"catching some z's\"?\\n\n", - " 0.922788\n", - " 0.0\n", + " INSTRUCTION:\\n\\nAnswer the following question.\\n\\nPROMPT:\\nis 17077 a prime number\\nRESPONSE:\\n\n", + " No, 17077 is not a prime number. It is divisible by\n", + " 1.149236\n", + " 1.0\n", " \n", " \n", " 3\n", - " \\nAnswer the following question.\n", - " \\n\\nIn what ways might information literacy skills help students succeed in their studies?\n", - " 1.075018\n", - " 0.0\n", + " INSTRUCTION:\\n\\nAnswer the following question.\\n\\nPROMPT:\\nIs 17077 prime?\\nRESPONSE:\\n\n", + " No, 17077 is not a prime number. 17077 is div\n", + " 0.921796\n", + " 1.0\n", " \n", " \n", "\n", "" ], "text/plain": [ - " prompt \\\n", - "0 \\nAnswer the following question. \\nIf it is not prime, give its decomposition. \n", - "1 \\nAnswer the following question. \\nIf it is not prime, give its decomposition. \n", - "2 \\nAnswer the following question. \n", - "3 \\nAnswer the following question. \n", + " prompt \\\n", + "0 INSTRUCTION:\\n\\nAnswer the following question. \\nIf it is not prime, give its decomposition.\\n\\nPROMPT:\\nis 17077 a prime number\\nRESPONSE:\\n \n", + "1 INSTRUCTION:\\n\\nAnswer the following question. \\nIf it is not prime, give its decomposition.\\n\\nPROMPT:\\nIs 17077 prime?\\nRESPONSE:\\n \n", + "2 INSTRUCTION:\\n\\nAnswer the following question.\\n\\nPROMPT:\\nis 17077 a prime number\\nRESPONSE:\\n \n", + "3 INSTRUCTION:\\n\\nAnswer the following question.\\n\\nPROMPT:\\nIs 17077 prime?\\nRESPONSE:\\n \n", "\n", - " response(s) \\\n", - "0 \\n\\n93\\nIt is not a prime number, its decomposition is 3 \n", - "1 \\n\\n45\\n\\n45 = 3 x 3 x 5 \n", - "2 \\n\\nWhat is the meaning of the phrase \"catching some z's\"?\\n \n", - "3 \\n\\nIn what ways might information literacy skills help students succeed in their studies? \n", + " response latency \\\n", + "0 No, 17077 is not a prime number. Its decomposition is 13 0.970505 \n", + "1 No, 17077 is not prime. Its decomposition is 79 x 215 0.895672 \n", + "2 No, 17077 is not a prime number. It is divisible by 1.149236 \n", + "3 No, 17077 is not a prime number. 17077 is div 0.921796 \n", "\n", - " latency followed_directions \n", - "0 1.993576 0.0 \n", - "1 0.908900 1.0 \n", - "2 0.922788 0.0 \n", - "3 1.075018 0.0 " + " followed_directions \n", + "0 0.0 \n", + "1 1.0 \n", + "2 1.0 \n", + "3 1.0 " ] }, "metadata": {}, From e582a3dc6e5d203727c6537d8f6a3dde1d72556a Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 9 Oct 2023 10:29:24 -0400 Subject: [PATCH 072/182] Handling duplicate column name in Experiment DataFrame --- prompttools/experiment/experiments/experiment.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/prompttools/experiment/experiments/experiment.py b/prompttools/experiment/experiments/experiment.py index 3763805d..d9e0c545 100644 --- a/prompttools/experiment/experiments/experiment.py +++ b/prompttools/experiment/experiments/experiment.py @@ -241,7 +241,11 @@ def _construct_result_dfs( if extract_response_equal_full_result: result_df = response_df else: - result_df = pd.concat([response_df, pd.DataFrame(results)], axis=1) + # Handle the case where `input_arg_df` has the same column names as `result_df` + result_df = pd.DataFrame(results) + common_columns = set(input_arg_df.columns) & set(result_df.columns) + result_df = result_df.add_prefix("response_") if common_columns else result_df + result_df = pd.concat([response_df, result_df], axis=1) # `score_df` contains computed metrics (e.g. latency, evaluation metrics) self.score_df = pd.DataFrame({"latency": latencies}) From 45de2400980cf4d1fb8ef9780bfcf5b64a556702 Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 9 Oct 2023 10:29:33 -0400 Subject: [PATCH 073/182] Example --- examples/notebooks/test_app.ipynb | 1131 +++++++++++++++++ .../experiments/openai_chat_experiment.py | 60 + 2 files changed, 1191 insertions(+) create mode 100644 examples/notebooks/test_app.ipynb diff --git a/examples/notebooks/test_app.ipynb b/examples/notebooks/test_app.ipynb new file mode 100644 index 00000000..ac620587 --- /dev/null +++ b/examples/notebooks/test_app.ipynb @@ -0,0 +1,1131 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Save Experiment to Server Example" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from prompttools.experiment import OpenAIChatExperiment\n", + "\n", + "import os\n", + "\n", + "os.environ[\"OPENAI_API_KEY\"] = \"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "models = [\"gpt-3.5-turbo\"]\n", + "messages = [\n", + " [\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", + " {\"role\": \"user\", \"content\": \"Who was the first president?\"},\n", + " ]\n", + "]\n", + "temperatures = [0.0, 1.0]\n", + "# You can add more parameters that you'd like to test here.\n", + "\n", + "experiment = OpenAIChatExperiment(models, messages, temperature=temperatures)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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temperaturemessagesresponselatency
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modelmessagestemperaturetop_pnstreampresence_penaltyfrequency_penaltyresponseresponse_idresponse_objectresponse_createdresponse_modelresponse_choicesresponse_usagelatency
0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]0.01.01False0.00.0The first president of the United States was George Washington. He served as president from 1789 to 1797.chatcmpl-87dUDKRQCO6Bq1PdPJLfF3vsXeluEchat.completion1696830773gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47}0.859089
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modelmessagestemperaturetop_pnstreampresence_penaltyfrequency_penaltyresponseresponse_idresponse_objectresponse_createdresponse_modelresponse_choicesresponse_usagelatency
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1gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]1.01.01False0.00.0The first president of the United States was George Washington.chatcmpl-87dUEABSL6dfbEQqDw6Mc61cKh42schat.completion1696830774gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}1.121416
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temperaturemessagesresponselatencydumb_evaldumb_eval_metric
00.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797.0.859089EVAL'ED The firstEVAL'ED The first
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" + ], + "text/plain": [ + " temperature \\\n", + "0 0.0 \n", + "1 1.0 \n", + "2 0.0 \n", + "3 1.0 \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "2 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "3 The first president of the United States was George Washington. He served as the nation's first president from 1789 to 1797. \n", + "\n", + " latency \n", + "0 1.683780 \n", + "1 0.991504 \n", + "2 1.111189 \n", + "3 0.960242 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "experiment_from_load.run()\n", + "experiment_from_load.visualize()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Run Experiment on Server Example" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Response:\n", + "200\n" + ] + } + ], + "source": [ + "import requests\n", + "import json\n", + "\n", + "url = \"http://127.0.0.1:5000/experiment/run\"\n", + "\n", + "model = [\"gpt-3.5-turbo\"]\n", + "messages = [\n", + " [\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", + " {\"role\": \"user\", \"content\": \"Who was the first president?\"},\n", + " ]\n", + "]\n", + "temperature = [0.0, 1.0]\n", + "\n", + "\n", + "input_parameters = {\n", + " 'experiment_name': 'RUNNING_ON_SERVER_SIDE_TEST',\n", + " 'model': models,\n", + " 'messages': messages,\n", + " 'temperature': temperature,\n", + "}\n", + "\n", + "headers = {\n", + " \"OPENAI_API_KEY\": os.environ[\"OPENAI_API_KEY\"],\n", + " \"Content-Type\": \"application/json\"\n", + "}\n", + "\n", + "\n", + "response = requests.post(url, headers=headers, data=json.dumps(input_parameters))\n", + "\n", + "# Print the response\n", + "print(\"Response:\")\n", + "print(response.status_code)\n", + "# print(response.json())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "Checking results..." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sending HTTP GET request...\n", + "Loaded experiment.\n" + ] + }, + { + "data": { + "text/html": [ + "
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1gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]1.01.01False0.00.0The first president of the United States was George Washington.chatcmpl-87elYz68OyUCwP8ZBoW9KGszgKuq5chat.completion1696835692gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}0.957149
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" + ], + "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "\n", + " temperature top_p n stream presence_penalty frequency_penalty \\\n", + "0 0.0 1.0 1 False 0.0 0.0 \n", + "1 1.0 1.0 1 False 0.0 0.0 \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. \n", + "\n", + " response_id response_object response_created \\\n", + "0 chatcmpl-87elWGXAZOUy5u9cZpt9wK81fb8Ti chat.completion 1696835690 \n", + "1 chatcmpl-87elYz68OyUCwP8ZBoW9KGszgKuq5 chat.completion 1696835692 \n", + "\n", + " response_model \\\n", + "0 gpt-3.5-turbo-0613 \n", + "1 gpt-3.5-turbo-0613 \n", + "\n", + " response_choices \\\n", + "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", + "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}] \n", + "\n", + " response_usage \\\n", + "0 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", + "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", + "\n", + " latency \n", + "0 1.008068 \n", + "1 0.957149 " + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "experiment_from_load = OpenAIChatExperiment.load_experiment(\"9697a0dd-d603-4443-beec-bd6fd0b9126f\")\n", + "experiment_from_load.full_df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Feedback" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Received data: Field updated or inserted successfully.\n" + ] + } + ], + "source": [ + "import requests\n", + "import json\n", + "\n", + "api_url = \"http://127.0.0.1:5000/experiment/add_feedback/\"\n", + "\n", + "# Specify the data for the POST request\n", + "data = {\n", + " \"log_id\": \"65239810e9aee9e6d2cbc482\",\n", + " \"metric_name\": \"CUSTOM_METRIC\",\n", + " \"value\": 123,\n", + "}\n", + "\n", + "# Make the POST request\n", + "response = requests.post(api_url, json=data)\n", + "\n", + "# Check the response\n", + "if response.status_code == 200:\n", + " # Deserialize the response if it contains JSON data\n", + " data = response.json()\n", + " print(\"Received data:\", data)\n", + "else:\n", + " print(f\"Error: {response.status_code}, {response.text}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sending HTTP GET request...\n", + "Loaded experiment.\n" + ] + }, + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "\n", + " temperature top_p n stream presence_penalty frequency_penalty \\\n", + "0 0.0 1.0 1 False 0.0 0.0 \n", + "1 1.0 1.0 1 False 0.0 0.0 \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. \n", + "\n", + " response_id response_object response_created \\\n", + "0 chatcmpl-87dUDKRQCO6Bq1PdPJLfF3vsXeluE chat.completion 1696830773 \n", + "1 chatcmpl-87dUEABSL6dfbEQqDw6Mc61cKh42s chat.completion 1696830774 \n", + "\n", + " response_model \\\n", + "0 gpt-3.5-turbo-0613 \n", + "1 gpt-3.5-turbo-0613 \n", + "\n", + " response_choices \\\n", + "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", + "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}] \n", + "\n", + " response_usage \\\n", + "0 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", + "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", + "\n", + " latency CUSTOM_METRIC \n", + "0 0.859089 123.0 \n", + "1 1.121416 NaN " + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "experiment_from_load = OpenAIChatExperiment.load_experiment('c5f7e53f-7c69-474e-aa4a-b9df17efca45')\n", + "experiment_from_load.full_df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index f8a7226c..2d1d1481 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -6,12 +6,15 @@ import os import json +import pickle from typing import Dict, List, Optional, Union import openai +import requests from prompttools.selector.prompt_selector import PromptSelector from prompttools.mock.mock import mock_openai_chat_completion_fn, mock_openai_chat_function_completion_fn from .experiment import Experiment +import pandas as pd class OpenAIChatExperiment(Experiment): @@ -168,3 +171,60 @@ def _get_model_names(self): def _get_prompts(self): return [self.prompt_keys[str(combo["messages"][-1]["content"])] for combo in self.argument_combos] + + def _get_state(self, name: str): + state_params = { + "prompt_keys": self.prompt_keys, + "all_args": self.all_args, + } + partial_col_names = self.partial_df.columns.tolist() + score_col_names = self.score_df.columns.tolist() + state = ( + name, + state_params, + self.full_df, + partial_col_names, + score_col_names, + ) + print("Creating serialized state of experiment...") + serialized_state = pickle.dumps(state) + return serialized_state + + def save_experiment(self, name: str): + state = self._get_state(name) + url = "http://127.0.0.1:5000/experiment/save" + headers = {"Content-Type": "application/octet-stream"} # Use a binary content type for pickled data + print("Sending HTTP POST request...") + response = requests.post(url, data=state, headers=headers) + return response + + @classmethod + def load_experiment(cls, uuid: str): + url = f"http://127.0.0.1:5000/experiment/load/{uuid}" + headers = {"Content-Type": "application/octet-stream"} # Use a binary content type for pickled data + print("Sending HTTP GET request...") + response = requests.get(url, headers=headers) + if response.status_code == 200: + state = pickle.loads(response.content) # Note that state should not have `name` included + return cls._load_state(state) + else: + print(f"Error: {response.status_code}, {response.text}") + + @classmethod + def _load_state(cls, state): + ( + state_params, + full_df, + partial_col_names, + score_col_names, + ) = state + + all_args, prompt_keys = state_params["all_args"], state_params["prompt_keys"] + experiment = cls(all_args["model"], all_args["messages"]) + experiment.prompt_keys = prompt_keys + experiment.all_args = all_args + experiment.full_df = pd.DataFrame(full_df) + experiment.partial_df = experiment.full_df[partial_col_names].copy() + experiment.score_df = experiment.full_df[score_col_names].copy() + print("Loaded experiment.") + return experiment From 4df0c70a50d59fe83949ef1497e521164dea3465 Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 10 Oct 2023 16:20:25 -0400 Subject: [PATCH 074/182] uuid edit --- examples/notebooks/test_app.ipynb | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/examples/notebooks/test_app.ipynb b/examples/notebooks/test_app.ipynb index ac620587..9558187d 100644 --- a/examples/notebooks/test_app.ipynb +++ b/examples/notebooks/test_app.ipynb @@ -276,7 +276,9 @@ } ], "source": [ - "experiment.save_experiment(\"TEST_SAVE_NAME\")" + "experiment.save_experiment(\"TEST_SAVE_NAME\")\n", + "\n", + "# experiment.uuid = ...." ] }, { From dd196ebf97afc9092749442d7f73bef1ae435186 Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 11 Oct 2023 02:29:07 -0400 Subject: [PATCH 075/182] Setting previous uuid --- prompttools/experiment/experiments/experiment.py | 1 + .../experiment/experiments/openai_chat_experiment.py | 7 +++++-- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/prompttools/experiment/experiments/experiment.py b/prompttools/experiment/experiments/experiment.py index d9e0c545..4131c837 100644 --- a/prompttools/experiment/experiments/experiment.py +++ b/prompttools/experiment/experiments/experiment.py @@ -52,6 +52,7 @@ def __init__(self): self.partial_df = None self.score_df = None self.image_experiment = False + self._experiment_uuid = None try: if "SENTRY_OPT_OUT" not in os.environ: sentry_sdk.capture_message(f"Initializing {self.__class__.__name__}", "info") diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index 2d1d1481..096252e0 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -181,6 +181,7 @@ def _get_state(self, name: str): score_col_names = self.score_df.columns.tolist() state = ( name, + self._experiment_uuid, state_params, self.full_df, partial_col_names, @@ -196,6 +197,7 @@ def save_experiment(self, name: str): headers = {"Content-Type": "application/octet-stream"} # Use a binary content type for pickled data print("Sending HTTP POST request...") response = requests.post(url, data=state, headers=headers) + self._experiment_uuid = response.json().get("experiment_uuid") return response @classmethod @@ -206,12 +208,12 @@ def load_experiment(cls, uuid: str): response = requests.get(url, headers=headers) if response.status_code == 200: state = pickle.loads(response.content) # Note that state should not have `name` included - return cls._load_state(state) + return cls._load_state(state, uuid) else: print(f"Error: {response.status_code}, {response.text}") @classmethod - def _load_state(cls, state): + def _load_state(cls, state, uuid: str): ( state_params, full_df, @@ -226,5 +228,6 @@ def _load_state(cls, state): experiment.full_df = pd.DataFrame(full_df) experiment.partial_df = experiment.full_df[partial_col_names].copy() experiment.score_df = experiment.full_df[score_col_names].copy() + experiment._experiment_uuid = uuid print("Loaded experiment.") return experiment From 33075705a9a4a8ec32cce2029d8c8586c1531050 Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 11 Oct 2023 19:11:33 -0400 Subject: [PATCH 076/182] Adding API key and fixing experiment ID --- examples/notebooks/test_app.ipynb | 246 ++++++------------ .../experiment/experiments/experiment.py | 2 +- .../experiments/openai_chat_experiment.py | 29 ++- 3 files changed, 101 insertions(+), 176 deletions(-) diff --git a/examples/notebooks/test_app.ipynb b/examples/notebooks/test_app.ipynb index 9558187d..e8dbbe77 100644 --- a/examples/notebooks/test_app.ipynb +++ b/examples/notebooks/test_app.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -17,12 +17,13 @@ "\n", "import os\n", "\n", - "os.environ[\"OPENAI_API_KEY\"] = \"\"" + "os.environ[\"OPENAI_API_KEY\"] = \"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\"\n", + "os.environ[\"HEGELAI_API_KEY\"] = \"\"" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -41,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -77,14 +78,14 @@ " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " 0.859089\n", + " 1.934486\n", " \n", " \n", " 1\n", " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " The first president of the United States was George Washington.\n", - " 1.121416\n", + " 0.709772\n", " \n", " \n", "\n", @@ -104,8 +105,8 @@ "1 The first president of the United States was George Washington. \n", "\n", " latency \n", - "0 0.859089 \n", - "1 1.121416 " + "0 1.934486 \n", + "1 0.709772 " ] }, "metadata": {}, @@ -119,7 +120,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -173,13 +174,13 @@ " 0.0\n", " 0.0\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " chatcmpl-87dUDKRQCO6Bq1PdPJLfF3vsXeluE\n", + " chatcmpl-88ccstwsKs3yan1ESPBTb5RgP40NF\n", " chat.completion\n", - " 1696830773\n", + " 1697065794\n", " gpt-3.5-turbo-0613\n", " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}]\n", " {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47}\n", - " 0.859089\n", + " 1.934486\n", " \n", " \n", " 1\n", @@ -192,13 +193,13 @@ " 0.0\n", " 0.0\n", " The first president of the United States was George Washington.\n", - " chatcmpl-87dUEABSL6dfbEQqDw6Mc61cKh42s\n", + " chatcmpl-88cct1W9crL65HnRz5uBkVa4Nk4L3\n", " chat.completion\n", - " 1696830774\n", + " 1697065795\n", " gpt-3.5-turbo-0613\n", " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}]\n", " {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}\n", - " 1.121416\n", + " 0.709772\n", " \n", " \n", "\n", @@ -222,8 +223,8 @@ "1 The first president of the United States was George Washington. \n", "\n", " response_id response_object response_created \\\n", - "0 chatcmpl-87dUDKRQCO6Bq1PdPJLfF3vsXeluE chat.completion 1696830773 \n", - "1 chatcmpl-87dUEABSL6dfbEQqDw6Mc61cKh42s chat.completion 1696830774 \n", + "0 chatcmpl-88ccstwsKs3yan1ESPBTb5RgP40NF chat.completion 1697065794 \n", + "1 chatcmpl-88cct1W9crL65HnRz5uBkVa4Nk4L3 chat.completion 1697065795 \n", "\n", " response_model \\\n", "0 gpt-3.5-turbo-0613 \n", @@ -238,11 +239,11 @@ "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", "\n", " latency \n", - "0 0.859089 \n", - "1 1.121416 " + "0 1.934486 \n", + "1 0.709772 " ] }, - "execution_count": 4, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -253,7 +254,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -261,24 +262,36 @@ "output_type": "stream", "text": [ "Creating serialized state of experiment...\n", - "Sending HTTP POST...\n" + "Sending HTTP POST request...\n", + "\n" ] - }, + } + ], + "source": [ + "res = experiment.save_experiment(\"TEST_SAVE_NAME\")\n", + "\n", + "print(res)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ { "data": { "text/plain": [ - "" + "'e3882118-08e5-43c2-8d2d-2db118fbc60b'" ] }, - "execution_count": 7, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "experiment.save_experiment(\"TEST_SAVE_NAME\")\n", - "\n", - "# experiment.uuid = ...." + "experiment._experiment_id" ] }, { @@ -315,7 +328,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -323,144 +336,22 @@ "output_type": "stream", "text": [ "Sending HTTP GET request...\n", - "Loaded experiment.\n" + "Error: 500, {\n", + " \"error\": \"\\\"['_id', 'user_id', 'experiment_id', 'experiment_name', 'timestamp'] not found in axis\\\"\"\n", + "}\n", + "\n" ] } ], "source": [ - "experiment_from_load = OpenAIChatExperiment.load_experiment('c5f7e53f-7c69-474e-aa4a-b9df17efca45')" + "experiment_from_load = OpenAIChatExperiment.load_experiment(\"e3882118-08e5-43c2-8d2d-2db118fbc60b\")" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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modelmessagestemperaturetop_pnstreampresence_penaltyfrequency_penaltyresponseresponse_idresponse_objectresponse_createdresponse_modelresponse_choicesresponse_usagelatency
0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]0.01.01False0.00.0The first president of the United States was George Washington. He served as president from 1789 to 1797.chatcmpl-87dUDKRQCO6Bq1PdPJLfF3vsXeluEchat.completion1696830773gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47}0.859089
1gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]1.01.01False0.00.0The first president of the United States was George Washington.chatcmpl-87dUEABSL6dfbEQqDw6Mc61cKh42schat.completion1696830774gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}1.121416
\n", - "
" - ], - "text/plain": [ - " model \\\n", - "0 gpt-3.5-turbo \n", - "1 gpt-3.5-turbo \n", - "\n", - " messages \\\n", - "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "\n", - " temperature top_p n stream presence_penalty frequency_penalty \\\n", - "0 0.0 1.0 1 False 0.0 0.0 \n", - "1 1.0 1.0 1 False 0.0 0.0 \n", - "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. \n", - "\n", - " response_id response_object response_created \\\n", - "0 chatcmpl-87dUDKRQCO6Bq1PdPJLfF3vsXeluE chat.completion 1696830773 \n", - "1 chatcmpl-87dUEABSL6dfbEQqDw6Mc61cKh42s chat.completion 1696830774 \n", - "\n", - " response_model \\\n", - "0 gpt-3.5-turbo-0613 \n", - "1 gpt-3.5-turbo-0613 \n", - "\n", - " response_choices \\\n", - "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", - "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}] \n", - "\n", - " response_usage \\\n", - "0 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", - "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", - "\n", - " latency \n", - "0 0.859089 \n", - "1 1.121416 " - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "experiment_from_load.full_df" ] @@ -1091,15 +982,38 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", + "execution_count": 7, "metadata": {}, - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from pymongo import MongoClient\n", + "\n", + "MONGO_ADDRESS = 'mongodb://localhost:27017/'\n", + "DATABASE_NAME = 'playground'\n", + "EXPERIMENTS = 'experiments'\n", + "EXPERIMENT_LOGS_COLLECTION_NAME = 'experiment_logs'\n", + "\n", + "# Connect to MongoDB\n", + "client = MongoClient(MONGO_ADDRESS)\n", + "db = client[DATABASE_NAME]\n", + "experiments_collection = db[EXPERIMENTS]\n", + "logs_collection = db[EXPERIMENT_LOGS_COLLECTION_NAME]\n", + "\n", + "\n", + "# experiments_collection.delete_many({})\n", + "# logs_collection.delete_many({})" + ] }, { "cell_type": "code", diff --git a/prompttools/experiment/experiments/experiment.py b/prompttools/experiment/experiments/experiment.py index 4131c837..4f027fc2 100644 --- a/prompttools/experiment/experiments/experiment.py +++ b/prompttools/experiment/experiments/experiment.py @@ -52,7 +52,7 @@ def __init__(self): self.partial_df = None self.score_df = None self.image_experiment = False - self._experiment_uuid = None + self._experiment_id = None try: if "SENTRY_OPT_OUT" not in os.environ: sentry_sdk.capture_message(f"Initializing {self.__class__.__name__}", "info") diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index 096252e0..ad003835 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -181,7 +181,7 @@ def _get_state(self, name: str): score_col_names = self.score_df.columns.tolist() state = ( name, - self._experiment_uuid, + self._experiment_id, state_params, self.full_df, partial_col_names, @@ -192,28 +192,39 @@ def _get_state(self, name: str): return serialized_state def save_experiment(self, name: str): + if os.environ["HEGELAI_API_KEY"] is None: + raise PermissionError("Please set HEGELAI_API_KEY (e.g. os.environ['HEGELAI_API_KEY']).") state = self._get_state(name) url = "http://127.0.0.1:5000/experiment/save" - headers = {"Content-Type": "application/octet-stream"} # Use a binary content type for pickled data + headers = { + "Content-Type": "application/octet-stream", # Use a binary content type for pickled data + "Authorization": os.environ["HEGELAI_API_KEY"], + } print("Sending HTTP POST request...") response = requests.post(url, data=state, headers=headers) - self._experiment_uuid = response.json().get("experiment_uuid") + self._experiment_id = response.json().get("experiment_id") return response @classmethod - def load_experiment(cls, uuid: str): - url = f"http://127.0.0.1:5000/experiment/load/{uuid}" - headers = {"Content-Type": "application/octet-stream"} # Use a binary content type for pickled data + def load_experiment(cls, experiment_id: str): + if os.environ["HEGELAI_API_KEY"] is None: + raise PermissionError("Please set HEGELAI_API_KEY (e.g. os.environ['HEGELAI_API_KEY']).") + + url = f"http://127.0.0.1:5000/experiment/load/{experiment_id}" + headers = { + "Content-Type": "application/octet-stream", # Use a binary content type for pickled data + "Authorization": os.environ["HEGELAI_API_KEY"], + } print("Sending HTTP GET request...") response = requests.get(url, headers=headers) if response.status_code == 200: state = pickle.loads(response.content) # Note that state should not have `name` included - return cls._load_state(state, uuid) + return cls._load_state(state, experiment_id) else: print(f"Error: {response.status_code}, {response.text}") @classmethod - def _load_state(cls, state, uuid: str): + def _load_state(cls, state, experiment_id: str): ( state_params, full_df, @@ -228,6 +239,6 @@ def _load_state(cls, state, uuid: str): experiment.full_df = pd.DataFrame(full_df) experiment.partial_df = experiment.full_df[partial_col_names].copy() experiment.score_df = experiment.full_df[score_col_names].copy() - experiment._experiment_uuid = uuid + experiment._experiment_id = experiment_id print("Loaded experiment.") return experiment From 0cdee6a3483999bb08c6ce50ee3edffaab170adb Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 11 Oct 2023 19:46:42 -0400 Subject: [PATCH 077/182] Adding API key and fixing experiment ID --- examples/notebooks/test_app.ipynb | 203 ++++++++++++++++++++++++++---- 1 file changed, 180 insertions(+), 23 deletions(-) diff --git a/examples/notebooks/test_app.ipynb b/examples/notebooks/test_app.ipynb index e8dbbe77..53eb5684 100644 --- a/examples/notebooks/test_app.ipynb +++ b/examples/notebooks/test_app.ipynb @@ -17,7 +17,7 @@ "\n", "import os\n", "\n", - "os.environ[\"OPENAI_API_KEY\"] = \"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\"\n", + "os.environ[\"OPENAI_API_KEY\"] = \"\"\n", "os.environ[\"HEGELAI_API_KEY\"] = \"\"" ] }, @@ -276,16 +276,16 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'e3882118-08e5-43c2-8d2d-2db118fbc60b'" + "'ed500f64-9589-4acb-b479-f201abfe6865'" ] }, - "execution_count": 6, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -328,7 +328,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -336,29 +336,189 @@ "output_type": "stream", "text": [ "Sending HTTP GET request...\n", - "Error: 500, {\n", - " \"error\": \"\\\"['_id', 'user_id', 'experiment_id', 'experiment_name', 'timestamp'] not found in axis\\\"\"\n", - "}\n", - "\n" + "experiment.full_df = model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "\n", + " temperature top_p n stream presence_penalty frequency_penalty \\\n", + "0 0.0 1.0 1 False 0.0 0.0 \n", + "1 1.0 1.0 1 False 0.0 0.0 \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. \n", + "\n", + " response_id response_object response_created \\\n", + "0 chatcmpl-88ccstwsKs3yan1ESPBTb5RgP40NF chat.completion 1697065794 \n", + "1 chatcmpl-88cct1W9crL65HnRz5uBkVa4Nk4L3 chat.completion 1697065795 \n", + "\n", + " response_model \\\n", + "0 gpt-3.5-turbo-0613 \n", + "1 gpt-3.5-turbo-0613 \n", + "\n", + " response_choices \\\n", + "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", + "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}] \n", + "\n", + " response_usage \\\n", + "0 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", + "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", + "\n", + " latency revision_id \n", + "0 1.934486 86bf8267-b648-45ff-b4bc-c82ef112f6ab \n", + "1 0.709772 86bf8267-b648-45ff-b4bc-c82ef112f6ab \n", + "Loaded experiment.\n" ] } ], "source": [ - "experiment_from_load = OpenAIChatExperiment.load_experiment(\"e3882118-08e5-43c2-8d2d-2db118fbc60b\")" + "experiment_from_load = OpenAIChatExperiment.load_experiment('ed500f64-9589-4acb-b479-f201abfe6865')" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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modelmessagestemperaturetop_pnstreampresence_penaltyfrequency_penaltyresponseresponse_idresponse_objectresponse_createdresponse_modelresponse_choicesresponse_usagelatencyrevision_id
0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]0.01.01False0.00.0The first president of the United States was George Washington. He served as president from 1789 to 1797.chatcmpl-88ccstwsKs3yan1ESPBTb5RgP40NFchat.completion1697065794gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47}1.93448686bf8267-b648-45ff-b4bc-c82ef112f6ab
1gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]1.01.01False0.00.0The first president of the United States was George Washington.chatcmpl-88cct1W9crL65HnRz5uBkVa4Nk4L3chat.completion1697065795gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}0.70977286bf8267-b648-45ff-b4bc-c82ef112f6ab
\n", + "
" + ], + "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "\n", + " temperature top_p n stream presence_penalty frequency_penalty \\\n", + "0 0.0 1.0 1 False 0.0 0.0 \n", + "1 1.0 1.0 1 False 0.0 0.0 \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. \n", + "\n", + " response_id response_object response_created \\\n", + "0 chatcmpl-88ccstwsKs3yan1ESPBTb5RgP40NF chat.completion 1697065794 \n", + "1 chatcmpl-88cct1W9crL65HnRz5uBkVa4Nk4L3 chat.completion 1697065795 \n", + "\n", + " response_model \\\n", + "0 gpt-3.5-turbo-0613 \n", + "1 gpt-3.5-turbo-0613 \n", + "\n", + " response_choices \\\n", + "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", + "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}] \n", + "\n", + " response_usage \\\n", + "0 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", + "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", + "\n", + " latency revision_id \n", + "0 1.934486 86bf8267-b648-45ff-b4bc-c82ef112f6ab \n", + "1 0.709772 86bf8267-b648-45ff-b4bc-c82ef112f6ab " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "experiment_from_load.full_df" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -386,7 +546,6 @@ " messages\n", " response\n", " latency\n", - " dumb_eval\n", " dumb_eval_metric\n", " \n", " \n", @@ -396,8 +555,7 @@ " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " 0.859089\n", - " EVAL'ED The first\n", + " 1.934486\n", " EVAL'ED The first\n", " \n", " \n", @@ -405,8 +563,7 @@ " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " The first president of the United States was George Washington.\n", - " 1.121416\n", - " EVAL'ED The first\n", + " 0.709772\n", " EVAL'ED The first\n", " \n", " \n", @@ -426,9 +583,9 @@ "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", "1 The first president of the United States was George Washington. \n", "\n", - " latency dumb_eval dumb_eval_metric \n", - "0 0.859089 EVAL'ED The first EVAL'ED The first \n", - "1 1.121416 EVAL'ED The first EVAL'ED The first " + " latency dumb_eval_metric \n", + "0 1.934486 EVAL'ED The first \n", + "1 0.709772 EVAL'ED The first " ] }, "metadata": {}, @@ -560,7 +717,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -568,7 +725,7 @@ "output_type": "stream", "text": [ "Response:\n", - "200\n" + "401\n" ] } ], From d3a64423c95b46b49354953c50ac6284e0b3e398 Mon Sep 17 00:00:00 2001 From: Kevin Tse Date: Fri, 13 Oct 2023 21:46:54 -0400 Subject: [PATCH 078/182] Update README code example (#97) --- README.md | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index acbfbddd..8bb0dda8 100644 --- a/README.md +++ b/README.md @@ -27,10 +27,16 @@ In just a few lines of codes, you can test your prompts and parameters across di OpenAI, Anthropic, or LLaMA models). You can even evaluate the retrieval accuracy of vector databases. ```python -prompts = ["Tell me a joke.", "Is 17077 a prime number?"] +from prompttools.experiment import OpenAIChatExperiment + +messages = [ + [{"role": "user", "content": "Tell me a joke."},], + [{"role": "user", "content": "Is 17077 a prime number?"},], +] + models = ["gpt-3.5-turbo", "gpt-4"] temperatures = [0.0] -openai_experiment = OpenAIChatExperiment(models, prompts, temperature=temperatures) +openai_experiment = OpenAIChatExperiment(models, messages, temperature=temperatures) openai_experiment.run() openai_experiment.visualize() ``` From 44b57ab21e0592165dfeca4ddc77ce7f5718c698 Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 16 Oct 2023 11:51:44 -0400 Subject: [PATCH 079/182] Add option to clear previous results within `.run` --- prompttools/experiment/experiments/experiment.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/prompttools/experiment/experiments/experiment.py b/prompttools/experiment/experiments/experiment.py index 4f027fc2..9afa8c40 100644 --- a/prompttools/experiment/experiments/experiment.py +++ b/prompttools/experiment/experiments/experiment.py @@ -164,6 +164,7 @@ def prepare(self) -> None: def run( self, runs: int = 1, + clear_previous_results: bool = False, ) -> None: r""" Create tuples of input and output for every possible combination of arguments. @@ -175,10 +176,13 @@ def run( Args: runs (int): number of times to execute each possible combination of arguments, defaults to 1. + clear_previous_results (bool): clear previous results before running """ if not self.argument_combos: logging.info("Preparing first...") self.prepare() + if clear_previous_results: + self.queue = RequestQueue() for combo in self.argument_combos: for _ in range(runs): self.queue.enqueue( From 4ba2fdd7baf765d80f6b98ca8056401f78ead511 Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 16 Oct 2023 11:53:09 -0400 Subject: [PATCH 080/182] Run partial and insert into DataFrame --- .../experiment/experiments/experiment.py | 18 +-- .../experiments/openai_chat_experiment.py | 113 +++++++++++++++++- 2 files changed, 121 insertions(+), 10 deletions(-) diff --git a/prompttools/experiment/experiments/experiment.py b/prompttools/experiment/experiments/experiment.py index 9afa8c40..21e1fdf1 100644 --- a/prompttools/experiment/experiments/experiment.py +++ b/prompttools/experiment/experiments/experiment.py @@ -230,35 +230,35 @@ def _construct_result_dfs( will be an extractor function that accepts the response from the model and returns a value. """ # `input_arg_df` contains all all input args - input_arg_df = pd.DataFrame(input_args) + self.input_arg_df = pd.DataFrame(input_args) # `dynamic_input_arg_df` contains input args that has more than one unique values - dynamic_input_arg_df = _get_dynamic_columns(input_arg_df) + dynamic_input_arg_df = _get_dynamic_columns(self.input_arg_df) # `response_df` contains the extracted response (often being the text response) if response_extractors is None: - response_df = pd.DataFrame({"response": [self._extract_responses(result) for result in results]}) + self.response_df = pd.DataFrame({"response": [self._extract_responses(result) for result in results]}) else: res_dict = {} for col_name, extractor in response_extractors.items(): res_dict[col_name] = [extractor(result) for result in results] - response_df = pd.DataFrame(res_dict) + self.response_df = pd.DataFrame(res_dict) # `result_df` contains everything returned by the completion function if extract_response_equal_full_result: - result_df = response_df + self.result_df = self.response_df else: # Handle the case where `input_arg_df` has the same column names as `result_df` result_df = pd.DataFrame(results) - common_columns = set(input_arg_df.columns) & set(result_df.columns) + common_columns = set(self.input_arg_df.columns) & set(result_df.columns) result_df = result_df.add_prefix("response_") if common_columns else result_df - result_df = pd.concat([response_df, result_df], axis=1) + self.result_df = pd.concat([self.response_df, result_df], axis=1) # `score_df` contains computed metrics (e.g. latency, evaluation metrics) self.score_df = pd.DataFrame({"latency": latencies}) # `partial_df` contains some input arguments, extracted responses, and score - self.partial_df = pd.concat([dynamic_input_arg_df, response_df, self.score_df], axis=1) + self.partial_df = pd.concat([dynamic_input_arg_df, self.response_df, self.score_df], axis=1) # `full_df` contains all input arguments, responses, and score - self.full_df = pd.concat([input_arg_df, result_df, self.score_df], axis=1) + self.full_df = pd.concat([self.input_arg_df, self.result_df, self.score_df], axis=1) def get_table(self, get_all_cols: bool = False) -> pd.DataFrame: r""" diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index ad003835..fb01f557 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -3,17 +3,21 @@ # # This source code's license can be found in the # LICENSE file in the root directory of this source tree. - +import copy import os import json import pickle from typing import Dict, List, Optional, Union import openai import requests +import itertools +import logging from prompttools.selector.prompt_selector import PromptSelector from prompttools.mock.mock import mock_openai_chat_completion_fn, mock_openai_chat_function_completion_fn from .experiment import Experiment +from .error import PromptExperimentException +from ._utils import _get_dynamic_columns import pandas as pd @@ -242,3 +246,110 @@ def _load_state(cls, state, experiment_id: str): experiment._experiment_id = experiment_id print("Loaded experiment.") return experiment + + def _validate_arg_key(self, arg_name: str) -> None: + import inspect + + signature = inspect.signature(self.__init__) + name_exceptions = {"azure_openai_service_configs"} + + if arg_name in [param.name for param in signature.parameters.values()] and arg_name not in name_exceptions: + return + else: + raise RuntimeError("Provided argument name does not match known argument names.") + + def run_partial(self, **kwargs): + r""" + Run experiment with against one parameter, which can be existing or new. The new result will + be appended to any existing DataFrames. + + If the argument value did not exist before, it will be added to the list of argument combinations + that will be executed in the next run. + + e.g. `experiement.run_partial({model: 'gpt-4'})` + """ + print("Running partial experiment...") + if len(kwargs) > 1: + raise RuntimeError("Not supported.") + arg_name, arg_value = list(kwargs.items())[0] + + partial_all_args = copy.deepcopy(self.all_args) + partial_all_args[arg_name] = [arg_value] + + partial_argument_combos = [ + dict(zip(partial_all_args, val)) for val in itertools.product(*partial_all_args.values()) + ] + original_n_results = len(self.queue.get_results()) + + # Execute partial experiment + for combo in partial_argument_combos: + self.queue.enqueue( + self.completion_fn, + # We need to filter out defaults that are invalid JSON from the request + {k: v for k, v in combo.items() if (v is not None) and (v != float("inf"))}, + ) + + # Verify new results are added + n_new_elements = len(partial_argument_combos) + if original_n_results - len(self.queue.get_results()) == 0: + logging.error("No results. Something went wrong.") + raise PromptExperimentException + + # results = self.queue.get_results() + # input_args = self.queue.get_input_args() + # latencies = self.queue.get_latencies() + # + # self._construct_result_dfs(self.queue.get_input_args(), self.queue.get_results(), self.queue.get_latencies()) + + # Extract partial result + results = self.queue.get_results()[-n_new_elements:] + input_args = self.queue.get_input_args()[-n_new_elements:] + latencies = self.queue.get_latencies()[-n_new_elements:] + + if self.full_df is None: # The experiment has never been executed before + self._construct_result_dfs(input_args, results, latencies) + else: + # Currently, it always append new rows to the results. + # In the future, we may want to replace existing rows instead. + self._insert_new_values_to_dataframe(input_args, results, latencies) + + # If `arg_value` didn't exist before, add to `argument_combos`, which will be used in the next `.run()` + if arg_value not in self.all_args[arg_name]: + self.all_args[arg_name].append(arg_value) + self.argument_combos.append(partial_argument_combos) + + def _insert_new_values_to_dataframe( + self, input_args: list[dict[str, object]], results: list[dict[str, object]], latencies: list[float] + ): + new_input_arg_df = pd.DataFrame(input_args) + self.input_arg_df = pd.concat([self.input_arg_df, new_input_arg_df], ignore_index=True) + dynamic_input_arg_df = _get_dynamic_columns(self.input_arg_df) + + new_response_df = pd.DataFrame({"response": [self._extract_responses(result) for result in results]}) + self.response_df = pd.concat([self.response_df, new_response_df], axis=0, ignore_index=True) + + self.score_df = pd.concat([self.score_df, pd.DataFrame({"latency": latencies})], ignore_index=True) + + # Result DF + new_result_df = pd.DataFrame(results) + common_columns = set(new_input_arg_df.columns) & set(new_result_df.columns) + new_result_df = new_result_df.add_prefix("response_") if common_columns else new_result_df + new_result_df = pd.concat([new_response_df, new_result_df], axis=1) + self.result_df = pd.concat([self.result_df, new_result_df], axis=0, ignore_index=True) + + self.partial_df = pd.concat([dynamic_input_arg_df, self.response_df, self.score_df], axis=1) + self.full_df = pd.concat([self.input_arg_df, self.result_df, self.score_df], axis=1) + + # def _update_values_in_dataframe(self): + # r""" + # If, in the future, we wish to update existing values rather than appending to the end of the row. + # + # # Consider doing a merge left here + # # 1. Identify what input_args columns exist + # # 2. Use those columns names for pandas to do a merge left + # # 3. If a value (from evals mostly) doesn't exist in the new one, put as NaN or empty + # # 4. If 1 has the key combo but 2 doesn't, mkae sure to keep the one from 1 + # # 5. Make sure `scores_df` is correct + # # Alternatively, find the index and overwrite those DataFrame rows, where each row is a `pd.Series`. + # """ + # pass From d4ec4f5a36c2530c1ef5fab409d5253fde630c69 Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 16 Oct 2023 12:03:33 -0400 Subject: [PATCH 081/182] Greatly simplify API for partial --- examples/notebooks/test_app.ipynb | 286 +++++++++++++++--- .../experiment/experiments/experiment.py | 18 +- .../experiments/openai_chat_experiment.py | 46 +-- 3 files changed, 263 insertions(+), 87 deletions(-) diff --git a/examples/notebooks/test_app.ipynb b/examples/notebooks/test_app.ipynb index 53eb5684..1eb90ed7 100644 --- a/examples/notebooks/test_app.ipynb +++ b/examples/notebooks/test_app.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -23,7 +23,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -42,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -78,14 +78,14 @@ " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " 1.934486\n", + " 1.299724\n", " \n", " \n", " 1\n", " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington.\n", - " 0.709772\n", + " The first president of the United States was George Washington. He served as the president from 1789 to 1797.\n", + " 1.126565\n", " \n", " \n", "\n", @@ -100,13 +100,13 @@ "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. \n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. He served as the president from 1789 to 1797. \n", "\n", " latency \n", - "0 1.934486 \n", - "1 0.709772 " + "0 1.299724 \n", + "1 1.126565 " ] }, "metadata": {}, @@ -120,9 +120,16 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 8, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running partial experiment...\n" + ] + }, { "data": { "text/html": [ @@ -174,13 +181,13 @@ " 0.0\n", " 0.0\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " chatcmpl-88ccstwsKs3yan1ESPBTb5RgP40NF\n", + " chatcmpl-8AKL3KrtNF0ZjhTOL0eHu2QcZlcTx\n", " chat.completion\n", - " 1697065794\n", + " 1697472153\n", " gpt-3.5-turbo-0613\n", " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}]\n", " {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47}\n", - " 1.934486\n", + " 1.299724\n", " \n", " \n", " 1\n", @@ -192,14 +199,33 @@ " False\n", " 0.0\n", " 0.0\n", + " The first president of the United States was George Washington. He served as the president from 1789 to 1797.\n", + " chatcmpl-8AKL4ttPKitT0lKPfsuBmALizYx2d\n", + " chat.completion\n", + " 1697472154\n", + " gpt-3.5-turbo-0613\n", + " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as the president from 1789 to 1797.'}, 'finish_reason': 'stop'}]\n", + " {'prompt_tokens': 23, 'completion_tokens': 25, 'total_tokens': 48}\n", + " 1.126565\n", + " \n", + " \n", + " 2\n", + " gpt-3.5-turbo\n", + " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", + " 0.5\n", + " 1.0\n", + " 1\n", + " False\n", + " 0.0\n", + " 0.0\n", " The first president of the United States was George Washington.\n", - " chatcmpl-88cct1W9crL65HnRz5uBkVa4Nk4L3\n", + " chatcmpl-8AKL5aYehALEOgDqkV4tooE0pjZq4\n", " chat.completion\n", - " 1697065795\n", + " 1697472155\n", " gpt-3.5-turbo-0613\n", " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}]\n", " {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}\n", - " 0.709772\n", + " 0.793576\n", " \n", " \n", "\n", @@ -209,46 +235,56 @@ " model \\\n", "0 gpt-3.5-turbo \n", "1 gpt-3.5-turbo \n", + "2 gpt-3.5-turbo \n", "\n", " messages \\\n", "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "\n", " temperature top_p n stream presence_penalty frequency_penalty \\\n", "0 0.0 1.0 1 False 0.0 0.0 \n", "1 1.0 1.0 1 False 0.0 0.0 \n", + "2 0.5 1.0 1 False 0.0 0.0 \n", "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. \n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. He served as the president from 1789 to 1797. \n", + "2 The first president of the United States was George Washington. \n", "\n", " response_id response_object response_created \\\n", - "0 chatcmpl-88ccstwsKs3yan1ESPBTb5RgP40NF chat.completion 1697065794 \n", - "1 chatcmpl-88cct1W9crL65HnRz5uBkVa4Nk4L3 chat.completion 1697065795 \n", + "0 chatcmpl-8AKL3KrtNF0ZjhTOL0eHu2QcZlcTx chat.completion 1697472153 \n", + "1 chatcmpl-8AKL4ttPKitT0lKPfsuBmALizYx2d chat.completion 1697472154 \n", + "2 chatcmpl-8AKL5aYehALEOgDqkV4tooE0pjZq4 chat.completion 1697472155 \n", "\n", " response_model \\\n", "0 gpt-3.5-turbo-0613 \n", "1 gpt-3.5-turbo-0613 \n", + "2 gpt-3.5-turbo-0613 \n", "\n", - " response_choices \\\n", - "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", - "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}] \n", + " response_choices \\\n", + "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", + "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as the president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", + "2 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}] \n", "\n", " response_usage \\\n", "0 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", - "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", + "1 {'prompt_tokens': 23, 'completion_tokens': 25, 'total_tokens': 48} \n", + "2 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", "\n", " latency \n", - "0 1.934486 \n", - "1 0.709772 " + "0 1.299724 \n", + "1 1.126565 \n", + "2 0.793576 " ] }, - "execution_count": 11, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "experiment.run_partial(temperature=0.5)\n", "experiment.full_df" ] }, @@ -717,7 +753,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -725,7 +761,8 @@ "output_type": "stream", "text": [ "Response:\n", - "401\n" + "200\n", + "[{'model': 'gpt-3.5-turbo', 'messages': [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}], 'temperature': 0.0, 'top_p': 1.0, 'n': 1, 'stream': False, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'response': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.', 'response_id': 'chatcmpl-88dS1ylV1T7BwNiuD53qHp3uylC05', 'response_object': 'chat.completion', 'response_created': 1697068965, 'response_model': 'gpt-3.5-turbo-0613', 'response_choices': [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}], 'response_usage': {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47}, 'latency': 1.445512291, 'user_id': 0, 'experiment_id': 'd38f3ce0-ff4b-48a1-a7eb-e87f160f2344', 'experiment_name': 'RUNNING_ON_SERVER_SIDE_TEST', 'revision_id': 'f6e99087-75dc-46cd-87e5-59f827825afd', 'timestamp': 1697054566670, 'log_id': '652737a6675c713faa41274b'}, {'model': 'gpt-3.5-turbo', 'messages': [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}], 'temperature': 1.0, 'top_p': 1.0, 'n': 1, 'stream': False, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'response': 'The first president of the United States was George Washington, serving from 1789 to 1797.', 'response_id': 'chatcmpl-88dS2l1gWveHxAOuyvqkjoOJV0ZIZ', 'response_object': 'chat.completion', 'response_created': 1697068966, 'response_model': 'gpt-3.5-turbo-0613', 'response_choices': [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington, serving from 1789 to 1797.'}, 'finish_reason': 'stop'}], 'response_usage': {'prompt_tokens': 23, 'completion_tokens': 21, 'total_tokens': 44}, 'latency': 0.6030918751, 'user_id': 0, 'experiment_id': 'd38f3ce0-ff4b-48a1-a7eb-e87f160f2344', 'experiment_name': 'RUNNING_ON_SERVER_SIDE_TEST', 'revision_id': 'f6e99087-75dc-46cd-87e5-59f827825afd', 'timestamp': 1697054566670, 'log_id': '652737a6675c713faa41274c'}]\n" ] } ], @@ -763,7 +800,7 @@ "# Print the response\n", "print(\"Response:\")\n", "print(response.status_code)\n", - "# print(response.json())" + "print(response.json())" ] }, { @@ -1139,16 +1176,16 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 7, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -1172,6 +1209,183 @@ "# logs_collection.delete_many({})" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Testing auth" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "f316761ef60ba804c4ae9963656204f14f8b7a85b982e2738aee02e31626fab9295aa760b67dc71300473484f5881744\n", + "\n", + "\n", + "401 Unauthorized\n", + "

Unauthorized

\n", + "

The server could not verify that you are authorized to access the URL requested. You either supplied the wrong credentials (e.g. a bad password), or your browser doesn't understand how to supply the credentials required.

\n", + "\n" + ] + } + ], + "source": [ + "import requests\n", + "\n", + "def get_experiments(access_token):\n", + " # URL for the API endpoint\n", + " api_url = \"http://127.0.0.1:5000/experiment/test_auth\"\n", + "\n", + " # Set up headers with the Bearer token\n", + " headers = {\n", + "# 'Authorization': f'Bearer {access_token}'\n", + " 'Authorization': access_token\n", + " }\n", + "\n", + " # Make the GET request with headers\n", + " response = requests.post(api_url, headers=headers)\n", + "\n", + " # Return the response object\n", + " return response\n", + "\n", + "print(os.environ['HEGELAI_API_KEY'])\n", + "response = get_experiments(os.environ['HEGELAI_API_KEY'])\n", + "print(response.text)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Response:\n", + "401\n" + ] + } + ], + "source": [ + "import requests\n", + "import json\n", + "\n", + "\n", + "\n", + "url = \"http://127.0.0.1:5000/experiment\"\n", + "# url = \"http://127.0.0.1:5000/experiment/logs\"\n", + "\n", + "model = [\"gpt-3.5-turbo\"]\n", + "messages = [\n", + " [\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", + " {\"role\": \"user\", \"content\": \"Who was the first president?\"},\n", + " ]\n", + "]\n", + "temperature = [0.0, 1.0]\n", + "\n", + "\n", + "input_parameters = {\n", + " 'experiment_name': 'RUNNING_ON_SERVER_SIDE_TEST',\n", + " 'model': models,\n", + " 'messages': messages,\n", + " 'temperature': temperature,\n", + "}\n", + "\n", + "headers = {\n", + " \"Authorization\": f\"Bearer {os.environ['HEGELAI_API_KEY']}\",\n", + " \"Content-Type\": \"application/json\"\n", + "}\n", + "\n", + "\n", + "response = requests.get(url, headers=headers, data=json.dumps(input_parameters))\n", + "\n", + "# Print the response\n", + "print(\"Response:\")\n", + "print(response.status_code)" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'OPENAI_API_KEY': '', 'Authorization': 'Bearer f0c41ced96e754cc1bf8fdf87725d8f0', 'Content-Type': 'application/json'}\n" + ] + } + ], + "source": [ + "print(headers)" + ] + }, + { + "cell_type": "code", + "execution_count": 150, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Response:\n", + "200\n" + ] + } + ], + "source": [ + "import requests\n", + "import json\n", + "\n", + "\n", + "\n", + "url = \"http://127.0.0.1:5001/\"\n", + "\n", + "headers = {\n", + " \"Authorization\": \"5f577514c87777524f02afa7c1f96fd8abda7a7828725e5eaf00146c7eb6ab1ac11273f1f7bbb8f9b13c5ad9464407db\",\n", + "# \"Authorization\": \"f316761ef60ba804c4ae9963656204f14f8b7a85b982e2738aee02e31626fab9295aa760b67dc71300473484f5881744\",\n", + " \"Content-Type\": \"application/json\"\n", + "}\n", + "\n", + "\n", + "response = requests.get(url, headers=headers, data=json.dumps(input_parameters))\n", + "\n", + "# Print the response\n", + "print(\"Response:\")\n", + "print(response.status_code)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null, diff --git a/prompttools/experiment/experiments/experiment.py b/prompttools/experiment/experiments/experiment.py index 21e1fdf1..9afa8c40 100644 --- a/prompttools/experiment/experiments/experiment.py +++ b/prompttools/experiment/experiments/experiment.py @@ -230,35 +230,35 @@ def _construct_result_dfs( will be an extractor function that accepts the response from the model and returns a value. """ # `input_arg_df` contains all all input args - self.input_arg_df = pd.DataFrame(input_args) + input_arg_df = pd.DataFrame(input_args) # `dynamic_input_arg_df` contains input args that has more than one unique values - dynamic_input_arg_df = _get_dynamic_columns(self.input_arg_df) + dynamic_input_arg_df = _get_dynamic_columns(input_arg_df) # `response_df` contains the extracted response (often being the text response) if response_extractors is None: - self.response_df = pd.DataFrame({"response": [self._extract_responses(result) for result in results]}) + response_df = pd.DataFrame({"response": [self._extract_responses(result) for result in results]}) else: res_dict = {} for col_name, extractor in response_extractors.items(): res_dict[col_name] = [extractor(result) for result in results] - self.response_df = pd.DataFrame(res_dict) + response_df = pd.DataFrame(res_dict) # `result_df` contains everything returned by the completion function if extract_response_equal_full_result: - self.result_df = self.response_df + result_df = response_df else: # Handle the case where `input_arg_df` has the same column names as `result_df` result_df = pd.DataFrame(results) - common_columns = set(self.input_arg_df.columns) & set(result_df.columns) + common_columns = set(input_arg_df.columns) & set(result_df.columns) result_df = result_df.add_prefix("response_") if common_columns else result_df - self.result_df = pd.concat([self.response_df, result_df], axis=1) + result_df = pd.concat([response_df, result_df], axis=1) # `score_df` contains computed metrics (e.g. latency, evaluation metrics) self.score_df = pd.DataFrame({"latency": latencies}) # `partial_df` contains some input arguments, extracted responses, and score - self.partial_df = pd.concat([dynamic_input_arg_df, self.response_df, self.score_df], axis=1) + self.partial_df = pd.concat([dynamic_input_arg_df, response_df, self.score_df], axis=1) # `full_df` contains all input arguments, responses, and score - self.full_df = pd.concat([self.input_arg_df, self.result_df, self.score_df], axis=1) + self.full_df = pd.concat([input_arg_df, result_df, self.score_df], axis=1) def get_table(self, get_all_cols: bool = False) -> pd.DataFrame: r""" diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index fb01f557..99cd971a 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -17,7 +17,6 @@ from prompttools.mock.mock import mock_openai_chat_completion_fn, mock_openai_chat_function_completion_fn from .experiment import Experiment from .error import PromptExperimentException -from ._utils import _get_dynamic_columns import pandas as pd @@ -290,55 +289,18 @@ def run_partial(self, **kwargs): ) # Verify new results are added - n_new_elements = len(partial_argument_combos) if original_n_results - len(self.queue.get_results()) == 0: logging.error("No results. Something went wrong.") raise PromptExperimentException - # results = self.queue.get_results() - # input_args = self.queue.get_input_args() - # latencies = self.queue.get_latencies() - # - # self._construct_result_dfs(self.queue.get_input_args(), self.queue.get_results(), self.queue.get_latencies()) - - # Extract partial result - results = self.queue.get_results()[-n_new_elements:] - input_args = self.queue.get_input_args()[-n_new_elements:] - latencies = self.queue.get_latencies()[-n_new_elements:] - - if self.full_df is None: # The experiment has never been executed before - self._construct_result_dfs(input_args, results, latencies) - else: - # Currently, it always append new rows to the results. - # In the future, we may want to replace existing rows instead. - self._insert_new_values_to_dataframe(input_args, results, latencies) + # Currently, it always append new rows to the results. + # In the future, we may want to replace existing rows instead. + self._construct_result_dfs(self.queue.get_input_args(), self.queue.get_results(), self.queue.get_latencies()) # If `arg_value` didn't exist before, add to `argument_combos`, which will be used in the next `.run()` if arg_value not in self.all_args[arg_name]: self.all_args[arg_name].append(arg_value) - self.argument_combos.append(partial_argument_combos) - - def _insert_new_values_to_dataframe( - self, input_args: list[dict[str, object]], results: list[dict[str, object]], latencies: list[float] - ): - new_input_arg_df = pd.DataFrame(input_args) - self.input_arg_df = pd.concat([self.input_arg_df, new_input_arg_df], ignore_index=True) - dynamic_input_arg_df = _get_dynamic_columns(self.input_arg_df) - - new_response_df = pd.DataFrame({"response": [self._extract_responses(result) for result in results]}) - self.response_df = pd.concat([self.response_df, new_response_df], axis=0, ignore_index=True) - - self.score_df = pd.concat([self.score_df, pd.DataFrame({"latency": latencies})], ignore_index=True) - - # Result DF - new_result_df = pd.DataFrame(results) - common_columns = set(new_input_arg_df.columns) & set(new_result_df.columns) - new_result_df = new_result_df.add_prefix("response_") if common_columns else new_result_df - new_result_df = pd.concat([new_response_df, new_result_df], axis=1) - self.result_df = pd.concat([self.result_df, new_result_df], axis=0, ignore_index=True) - - self.partial_df = pd.concat([dynamic_input_arg_df, self.response_df, self.score_df], axis=1) - self.full_df = pd.concat([self.input_arg_df, self.result_df, self.score_df], axis=1) + self.prepare() # def _update_values_in_dataframe(self): # r""" From 9a07952336623a56b477d9d962b91b9da61cc91a Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 17 Oct 2023 10:50:34 -0400 Subject: [PATCH 082/182] Fix OpenAIChat Experiment signature --- prompttools/experiment/experiments/openai_chat_experiment.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index 99cd971a..dd9a9061 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -103,7 +103,7 @@ def __init__( max_tokens: Optional[List[int]] = [float("inf")], presence_penalty: Optional[List[float]] = [0.0], frequency_penalty: Optional[List[float]] = [0.0], - logit_bias: Optional[Dict] = [None], + logit_bias: Optional[List[Dict]] = [None], functions: Optional[List[Dict]] = [None], function_call: Optional[List[Dict[str, str]]] = [None], azure_openai_service_configs: Optional[dict] = None, From 5bc9f8668a67f8ac6e996c6b7c4925897aad4111 Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 17 Oct 2023 10:59:33 -0400 Subject: [PATCH 083/182] Adding `run_one` method to OpenAI Chat --- .../experiments/openai_chat_experiment.py | 55 ++++++++++++++++++- 1 file changed, 53 insertions(+), 2 deletions(-) diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index dd9a9061..7c02fd02 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -278,7 +278,7 @@ def run_partial(self, **kwargs): partial_argument_combos = [ dict(zip(partial_all_args, val)) for val in itertools.product(*partial_all_args.values()) ] - original_n_results = len(self.queue.get_results()) + original_n_results = len(self.queue.get_results()) if self.queue else 0 # Execute partial experiment for combo in partial_argument_combos: @@ -289,7 +289,7 @@ def run_partial(self, **kwargs): ) # Verify new results are added - if original_n_results - len(self.queue.get_results()) == 0: + if len(self.queue.get_results()) - original_n_results == 0: logging.error("No results. Something went wrong.") raise PromptExperimentException @@ -302,6 +302,57 @@ def run_partial(self, **kwargs): self.all_args[arg_name].append(arg_value) self.prepare() + def run_one( + self, + model: str, + messages: Union[List[Dict[str, str]], PromptSelector], + temperature: Optional[float] = 1.0, + top_p: Optional[float] = 1.0, + n: Optional[int] = 1, + stream: Optional[bool] = False, + stop: Optional[List[str]] = None, + max_tokens: Optional[int] = float("inf"), + presence_penalty: Optional[float] = 0.0, + frequency_penalty: Optional[float] = 0.0, + logit_bias: Optional[Dict] = None, + functions: Optional[Dict] = None, + function_call: Optional[Dict[str, str]] = None, + ): + r""" + Execute one particular configuration of the experiment and add that to the result DataFrame. + + Unlike `run_partial`, this doesn't change the argument combination of the experiment. + """ + kwargs = { + "model": model, + "messages": messages, + "temperature": temperature, + "top_p": top_p, + "n": n, + "stream": stream, + "stop": stop, + "max_tokens": max_tokens, + "presence_penalty": presence_penalty, + "frequency_penalty": frequency_penalty, + "logit_bias": logit_bias, + "functions": functions, + "function_call": function_call, + } + kwargs = {k: v for k, v in kwargs.items() if (v is not None) and (v != float("inf"))} + + original_n_results = len(self.queue.get_results()) if self.queue else 0 + self.queue.enqueue( + self.completion_fn, + kwargs, + ) + if len(self.queue.get_results()) - original_n_results != 1: + print(original_n_results) + print(len(self.queue.get_results())) + logging.error("No results. Something went wrong.") + raise PromptExperimentException + + self._construct_result_dfs(self.queue.get_input_args(), self.queue.get_results(), self.queue.get_latencies()) + # def _update_values_in_dataframe(self): # r""" # If, in the future, we wish to update existing values rather than appending to the end of the row. From 356d8c4961e678835e60d691fe73855a7e451c0e Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 17 Oct 2023 11:33:15 -0400 Subject: [PATCH 084/182] Adding `load_revision` API --- .../experiments/openai_chat_experiment.py | 23 +++++++++++++++++-- 1 file changed, 21 insertions(+), 2 deletions(-) diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index 7c02fd02..1bfc9e9f 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -198,7 +198,7 @@ def save_experiment(self, name: str): if os.environ["HEGELAI_API_KEY"] is None: raise PermissionError("Please set HEGELAI_API_KEY (e.g. os.environ['HEGELAI_API_KEY']).") state = self._get_state(name) - url = "http://127.0.0.1:5000/experiment/save" + url = "http://127.0.0.1:5000/sdk/save" headers = { "Content-Type": "application/octet-stream", # Use a binary content type for pickled data "Authorization": os.environ["HEGELAI_API_KEY"], @@ -213,7 +213,7 @@ def load_experiment(cls, experiment_id: str): if os.environ["HEGELAI_API_KEY"] is None: raise PermissionError("Please set HEGELAI_API_KEY (e.g. os.environ['HEGELAI_API_KEY']).") - url = f"http://127.0.0.1:5000/experiment/load/{experiment_id}" + url = f"http://127.0.0.1:5000/sdk/get/experiment/{experiment_id}" headers = { "Content-Type": "application/octet-stream", # Use a binary content type for pickled data "Authorization": os.environ["HEGELAI_API_KEY"], @@ -226,6 +226,25 @@ def load_experiment(cls, experiment_id: str): else: print(f"Error: {response.status_code}, {response.text}") + @classmethod + def load_revision(cls, revision_id: str): + if os.environ["HEGELAI_API_KEY"] is None: + raise PermissionError("Please set HEGELAI_API_KEY (e.g. os.environ['HEGELAI_API_KEY']).") + + url = f"http://127.0.0.1:5000/sdk/get/revision/{revision_id}" + headers = { + "Content-Type": "application/octet-stream", # Use a binary content type for pickled data + "Authorization": os.environ["HEGELAI_API_KEY"], + } + print("Sending HTTP GET request...") + response = requests.get(url, headers=headers) + if response.status_code == 200: + # Note: This is different from `load_experiment` + experiment_id, state = pickle.loads(response.content) + return cls._load_state(state, experiment_id) + else: + print(f"Error: {response.status_code}, {response.text}") + @classmethod def _load_state(cls, state, experiment_id: str): ( From 5f39531bd35d83e70b28348271f8ff97ff0691bd Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 20 Oct 2023 17:11:58 -0400 Subject: [PATCH 085/182] Saving notebook updates --- examples/notebooks/test_app.ipynb | 477 ++++++++++++++++++++++++++---- 1 file changed, 418 insertions(+), 59 deletions(-) diff --git a/examples/notebooks/test_app.ipynb b/examples/notebooks/test_app.ipynb index 1eb90ed7..d1bf3514 100644 --- a/examples/notebooks/test_app.ipynb +++ b/examples/notebooks/test_app.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -23,7 +23,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -42,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -78,14 +78,14 @@ " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " 1.299724\n", + " 1.064314\n", " \n", " \n", " 1\n", " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington. He served as the president from 1789 to 1797.\n", - " 1.126565\n", + " The first president of the United States was George Washington.\n", + " 0.607052\n", " \n", " \n", "\n", @@ -100,13 +100,13 @@ "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. He served as the president from 1789 to 1797. \n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. \n", "\n", " latency \n", - "0 1.299724 \n", - "1 1.126565 " + "0 1.064314 \n", + "1 0.607052 " ] }, "metadata": {}, @@ -120,7 +120,99 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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temperaturemessagesresponselatency
00.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797.1.337838
11.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington, serving from 1789 to 1797.1.224729
21.0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}]The second president of the United States was John Adams.3.326496
\n", + "
" + ], + "text/plain": [ + " temperature \\\n", + "0 0.0 \n", + "1 1.0 \n", + "2 1.0 \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}] \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington, serving from 1789 to 1797. \n", + "2 The second president of the United States was John Adams. \n", + "\n", + " latency \n", + "0 1.337838 \n", + "1 1.224729 \n", + "2 3.326496 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "experiment.run_one(\"gpt-3.5-turbo\", [\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", + " {\"role\": \"user\", \"content\": \"Who was the second president?\"},\n", + " ])\n", + "experiment.visualize()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -181,13 +273,13 @@ " 0.0\n", " 0.0\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " chatcmpl-8AKL3KrtNF0ZjhTOL0eHu2QcZlcTx\n", + " chatcmpl-8Afogt6JppN4gZhIDHLlj4dVDdBox\n", " chat.completion\n", - " 1697472153\n", + " 1697554714\n", " gpt-3.5-turbo-0613\n", " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}]\n", " {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47}\n", - " 1.299724\n", + " 1.337838\n", " \n", " \n", " 1\n", @@ -199,18 +291,37 @@ " False\n", " 0.0\n", " 0.0\n", - " The first president of the United States was George Washington. He served as the president from 1789 to 1797.\n", - " chatcmpl-8AKL4ttPKitT0lKPfsuBmALizYx2d\n", + " The first president of the United States was George Washington, serving from 1789 to 1797.\n", + " chatcmpl-8AfohOODBjWwdX27uNEnRQ2RSTU9c\n", " chat.completion\n", - " 1697472154\n", + " 1697554715\n", " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as the president from 1789 to 1797.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 23, 'completion_tokens': 25, 'total_tokens': 48}\n", - " 1.126565\n", + " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington, serving from 1789 to 1797.'}, 'finish_reason': 'stop'}]\n", + " {'prompt_tokens': 23, 'completion_tokens': 21, 'total_tokens': 44}\n", + " 1.224729\n", " \n", " \n", " 2\n", " gpt-3.5-turbo\n", + " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}]\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " False\n", + " 0.0\n", + " 0.0\n", + " The second president of the United States was John Adams.\n", + " chatcmpl-8AfoltjNBsasogjnwHm1OcefEZxd2\n", + " chat.completion\n", + " 1697554719\n", + " gpt-3.5-turbo-0613\n", + " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second president of the United States was John Adams.'}, 'finish_reason': 'stop'}]\n", + " {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}\n", + " 3.326496\n", + " \n", + " \n", + " 3\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " 0.5\n", " 1.0\n", @@ -218,14 +329,14 @@ " False\n", " 0.0\n", " 0.0\n", - " The first president of the United States was George Washington.\n", - " chatcmpl-8AKL5aYehALEOgDqkV4tooE0pjZq4\n", + " The first president of the United States was George Washington. He served from 1789 to 1797.\n", + " chatcmpl-8Afp6Wd6CcF26ThPBjNFhCLhN6VGa\n", " chat.completion\n", - " 1697472155\n", + " 1697554740\n", " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}\n", - " 0.793576\n", + " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served from 1789 to 1797.'}, 'finish_reason': 'stop'}]\n", + " {'prompt_tokens': 23, 'completion_tokens': 22, 'total_tokens': 45}\n", + " 1.061821\n", " \n", " \n", "\n", @@ -236,49 +347,58 @@ "0 gpt-3.5-turbo \n", "1 gpt-3.5-turbo \n", "2 gpt-3.5-turbo \n", + "3 gpt-3.5-turbo \n", "\n", - " messages \\\n", - "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}] \n", + "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "\n", " temperature top_p n stream presence_penalty frequency_penalty \\\n", "0 0.0 1.0 1 False 0.0 0.0 \n", "1 1.0 1.0 1 False 0.0 0.0 \n", - "2 0.5 1.0 1 False 0.0 0.0 \n", + "2 1.0 1.0 1 False 0.0 0.0 \n", + "3 0.5 1.0 1 False 0.0 0.0 \n", "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. He served as the president from 1789 to 1797. \n", - "2 The first president of the United States was George Washington. \n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington, serving from 1789 to 1797. \n", + "2 The second president of the United States was John Adams. \n", + "3 The first president of the United States was George Washington. He served from 1789 to 1797. \n", "\n", " response_id response_object response_created \\\n", - "0 chatcmpl-8AKL3KrtNF0ZjhTOL0eHu2QcZlcTx chat.completion 1697472153 \n", - "1 chatcmpl-8AKL4ttPKitT0lKPfsuBmALizYx2d chat.completion 1697472154 \n", - "2 chatcmpl-8AKL5aYehALEOgDqkV4tooE0pjZq4 chat.completion 1697472155 \n", + "0 chatcmpl-8Afogt6JppN4gZhIDHLlj4dVDdBox chat.completion 1697554714 \n", + "1 chatcmpl-8AfohOODBjWwdX27uNEnRQ2RSTU9c chat.completion 1697554715 \n", + "2 chatcmpl-8AfoltjNBsasogjnwHm1OcefEZxd2 chat.completion 1697554719 \n", + "3 chatcmpl-8Afp6Wd6CcF26ThPBjNFhCLhN6VGa chat.completion 1697554740 \n", "\n", " response_model \\\n", "0 gpt-3.5-turbo-0613 \n", "1 gpt-3.5-turbo-0613 \n", "2 gpt-3.5-turbo-0613 \n", + "3 gpt-3.5-turbo-0613 \n", "\n", - " response_choices \\\n", - "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", - "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as the president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", - "2 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}] \n", + " response_choices \\\n", + "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", + "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington, serving from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", + "2 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second president of the United States was John Adams.'}, 'finish_reason': 'stop'}] \n", + "3 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", "\n", " response_usage \\\n", "0 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", - "1 {'prompt_tokens': 23, 'completion_tokens': 25, 'total_tokens': 48} \n", + "1 {'prompt_tokens': 23, 'completion_tokens': 21, 'total_tokens': 44} \n", "2 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", + "3 {'prompt_tokens': 23, 'completion_tokens': 22, 'total_tokens': 45} \n", "\n", " latency \n", - "0 1.299724 \n", - "1 1.126565 \n", - "2 0.793576 " + "0 1.337838 \n", + "1 1.224729 \n", + "2 3.326496 \n", + "3 1.061821 " ] }, - "execution_count": 8, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -290,7 +410,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -1176,16 +1296,16 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 31, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1197,16 +1317,19 @@ "DATABASE_NAME = 'playground'\n", "EXPERIMENTS = 'experiments'\n", "EXPERIMENT_LOGS_COLLECTION_NAME = 'experiment_logs'\n", + "USER_PERMISSION_COLLECTION_NAME = \"user_permission\"\n", "\n", "# Connect to MongoDB\n", "client = MongoClient(MONGO_ADDRESS)\n", "db = client[DATABASE_NAME]\n", "experiments_collection = db[EXPERIMENTS]\n", "logs_collection = db[EXPERIMENT_LOGS_COLLECTION_NAME]\n", + "user_permission_collection = db[USER_PERMISSION_COLLECTION_NAME]\n", "\n", "\n", "# experiments_collection.delete_many({})\n", - "# logs_collection.delete_many({})" + "# logs_collection.delete_many({})\n", + "# user_permission_collection.delete_many({})" ] }, { @@ -1314,7 +1437,7 @@ "}\n", "\n", "headers = {\n", - " \"Authorization\": f\"Bearer {os.environ['HEGELAI_API_KEY']}\",\n", + " \"Authorization\": os.environ[\"HEGELAI_API_KEY\"],\n", " \"Content-Type\": \"application/json\"\n", "}\n", "\n", @@ -1345,7 +1468,7 @@ }, { "cell_type": "code", - "execution_count": 150, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -1363,16 +1486,90 @@ "\n", "\n", "\n", - "url = \"http://127.0.0.1:5001/\"\n", + "url = \"http://127.0.0.1:5000/permission/get_experiment_members\"\n", "\n", "headers = {\n", - " \"Authorization\": \"5f577514c87777524f02afa7c1f96fd8abda7a7828725e5eaf00146c7eb6ab1ac11273f1f7bbb8f9b13c5ad9464407db\",\n", - "# \"Authorization\": \"f316761ef60ba804c4ae9963656204f14f8b7a85b982e2738aee02e31626fab9295aa760b67dc71300473484f5881744\",\n", + " \"Authorization\": os.environ[\"HEGELAI_API_KEY\"],\n", " \"Content-Type\": \"application/json\"\n", "}\n", "\n", "\n", - "response = requests.get(url, headers=headers, data=json.dumps(input_parameters))\n", + "response = requests.get(url, headers=headers)\n", + "\n", + "# Print the response\n", + "print(\"Response:\")\n", + "print(response.status_code)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Response:\n", + "200\n" + ] + } + ], + "source": [ + "import requests\n", + "import json\n", + "\n", + "\n", + "\n", + "url = \"http://127.0.0.1:5000/web/get/experiments2\"\n", + "\n", + "headers = {\n", + " \"Authorization\": os.environ[\"HEGELAI_API_KEY\"],\n", + " \"Content-Type\": \"application/json\"\n", + "}\n", + "\n", + "\n", + "response = requests.get(url, headers=headers)\n", + "\n", + "# Print the response\n", + "print(\"Response:\")\n", + "print(response.status_code)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Response:\n", + "200\n" + ] + } + ], + "source": [ + "import requests\n", + "import json\n", + "\n", + "\n", + "\n", + "url = \"http://127.0.0.1:5000/permission/get_experiment_members\"\n", + "\n", + "headers = {\n", + " \"Authorization\": os.environ[\"HEGELAI_API_KEY\"],\n", + " \"Content-Type\": \"application/json\"\n", + "}\n", + "\n", + "\n", + "\n", + "parameters = {\n", + " 'experiment_id': 'da044226-bd4b-4fb5-b358-2c781e031dad',\n", + "}\n", + "\n", + "response = requests.get(url, headers=headers, data=json.dumps(parameters))\n", "\n", "# Print the response\n", "print(\"Response:\")\n", @@ -1386,6 +1583,168 @@ "outputs": [], "source": [] }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Response:\n", + "200\n" + ] + } + ], + "source": [ + "import requests\n", + "import json\n", + "\n", + "\n", + "\n", + "url = \"http://127.0.0.1:5000/web/evaluate/auto_eval\"\n", + "\n", + "headers = {\n", + " \"Authorization\": os.environ[\"HEGELAI_API_KEY\"],\n", + " \"OPENAI_API_KEY\": os.environ[\"OPENAI_API_KEY\"],\n", + " \"Content-Type\": \"application/json\"\n", + "}\n", + "\n", + "\n", + "parameters = {\n", + " 'log_id': '652ebc5342a9d6e77881c32e',\n", + " 'metric_name': 'score',\n", + "}\n", + "\n", + "response = requests.post(url, headers=headers, data=json.dumps(parameters))\n", + "\n", + "# Print the response\n", + "print(\"Response:\")\n", + "print(response.status_code)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Response:\n", + "200\n", + "{'652ebc5342a9d6e77881c32e': '10', '652ebc5342a9d6e77881c32f': '10'}\n" + ] + } + ], + "source": [ + "import requests\n", + "import json\n", + "\n", + "\n", + "\n", + "url = \"http://127.0.0.1:5000/web/evaluate/auto_eval_many\"\n", + "\n", + "headers = {\n", + " \"Authorization\": os.environ[\"HEGELAI_API_KEY\"],\n", + " \"OPENAI_API_KEY\": os.environ[\"OPENAI_API_KEY\"],\n", + " \"Content-Type\": \"application/json\"\n", + "}\n", + "\n", + "\n", + "parameters = {\n", + " 'log_ids': ['652ebc5342a9d6e77881c32e', '652ebc5342a9d6e77881c32f'],\n", + " 'metric_name': 'score',\n", + "}\n", + "\n", + "response = requests.post(url, headers=headers, data=json.dumps(parameters))\n", + "\n", + "# Print the response\n", + "print(\"Response:\")\n", + "print(response.status_code)\n", + "print(response.json())" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Response:\n", + "200\n" + ] + } + ], + "source": [ + "import requests\n", + "import json\n", + "\n", + "\n", + "\n", + "url = \"http://127.0.0.1:5000/web/get/logs\"\n", + "\n", + "headers = {\n", + " \"Authorization\": os.environ[\"HEGELAI_API_KEY\"],\n", + " \"Content-Type\": \"application/json\"\n", + "}\n", + "\n", + "\n", + "# parameters = {\n", + "# 'experiment_id': 'da044226-bd4b-4fb5-b358-2c781e031dad',\n", + "# }\n", + "\n", + "response = requests.get(url, headers=headers) # , data=json.dumps(parameters))\n", + "\n", + "# Print the response\n", + "print(\"Response:\")\n", + "print(response.status_code)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Response:\n", + "404\n" + ] + } + ], + "source": [ + "import requests\n", + "import json\n", + "\n", + "\n", + "\n", + "url = \"http://127.0.0.1:5000/web/something\"\n", + "\n", + "headers = {\n", + " \"Authorization\": os.environ[\"HEGELAI_API_KEY\"],\n", + " \"Content-Type\": \"application/json\"\n", + "}\n", + "\n", + "\n", + "# parameters = {\n", + "# 'experiment_id': 'da044226-bd4b-4fb5-b358-2c781e031dad',\n", + "# }\n", + "\n", + "response = requests.get(url, headers=headers) # , data=json.dumps(parameters))\n", + "\n", + "# Print the response\n", + "print(\"Response:\")\n", + "print(response.status_code)" + ] + }, { "cell_type": "code", "execution_count": null, From cc45f93f7133d87d85583232331e59ccf96d35ab Mon Sep 17 00:00:00 2001 From: Kevin Tse Date: Fri, 20 Oct 2023 18:05:51 -0400 Subject: [PATCH 086/182] Adding option to clear previous experiment results in `.run()` (#99) --- prompttools/experiment/experiments/experiment.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/prompttools/experiment/experiments/experiment.py b/prompttools/experiment/experiments/experiment.py index 3763805d..31f7dd44 100644 --- a/prompttools/experiment/experiments/experiment.py +++ b/prompttools/experiment/experiments/experiment.py @@ -163,6 +163,7 @@ def prepare(self) -> None: def run( self, runs: int = 1, + clear_previous_results: bool = False, ) -> None: r""" Create tuples of input and output for every possible combination of arguments. @@ -174,10 +175,13 @@ def run( Args: runs (int): number of times to execute each possible combination of arguments, defaults to 1. + clear_previous_results (bool): clear previous results before running """ if not self.argument_combos: logging.info("Preparing first...") self.prepare() + if clear_previous_results: + self.queue = RequestQueue() for combo in self.argument_combos: for _ in range(runs): self.queue.enqueue( From 590cfc6959d9ab3cad6892f6d3646f5100cd95f1 Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 20 Oct 2023 18:13:34 -0400 Subject: [PATCH 087/182] Refactor backend URL --- .../experiment/experiments/openai_chat_experiment.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index 1bfc9e9f..eb67ecda 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -20,6 +20,9 @@ import pandas as pd +HEGEL_BACKEND_URL = """http://127.0.0.1:5000""" + + class OpenAIChatExperiment(Experiment): r""" This class defines an experiment for OpenAI's chat completion API. @@ -198,7 +201,7 @@ def save_experiment(self, name: str): if os.environ["HEGELAI_API_KEY"] is None: raise PermissionError("Please set HEGELAI_API_KEY (e.g. os.environ['HEGELAI_API_KEY']).") state = self._get_state(name) - url = "http://127.0.0.1:5000/sdk/save" + url = f"{HEGEL_BACKEND_URL}/sdk/save" headers = { "Content-Type": "application/octet-stream", # Use a binary content type for pickled data "Authorization": os.environ["HEGELAI_API_KEY"], @@ -213,7 +216,7 @@ def load_experiment(cls, experiment_id: str): if os.environ["HEGELAI_API_KEY"] is None: raise PermissionError("Please set HEGELAI_API_KEY (e.g. os.environ['HEGELAI_API_KEY']).") - url = f"http://127.0.0.1:5000/sdk/get/experiment/{experiment_id}" + url = f"{HEGEL_BACKEND_URL}/sdk/get/experiment/{experiment_id}" headers = { "Content-Type": "application/octet-stream", # Use a binary content type for pickled data "Authorization": os.environ["HEGELAI_API_KEY"], @@ -231,7 +234,7 @@ def load_revision(cls, revision_id: str): if os.environ["HEGELAI_API_KEY"] is None: raise PermissionError("Please set HEGELAI_API_KEY (e.g. os.environ['HEGELAI_API_KEY']).") - url = f"http://127.0.0.1:5000/sdk/get/revision/{revision_id}" + url = f"{HEGEL_BACKEND_URL}/sdk/get/revision/{revision_id}" headers = { "Content-Type": "application/octet-stream", # Use a binary content type for pickled data "Authorization": os.environ["HEGELAI_API_KEY"], From 7e373349b328b3d1308fc4e864fbc48676a28a6f Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Sat, 21 Oct 2023 00:48:19 -0700 Subject: [PATCH 088/182] Version bump, remove transformers req --- docs/source/conf.py | 2 +- prompttools/version.py | 4 ++-- pyproject.toml | 2 +- requirements.txt | 1 - version.txt | 2 +- 5 files changed, 5 insertions(+), 6 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index a93cbc56..d473a899 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -11,7 +11,7 @@ project = "prompttools" copyright = "2023, Hegel AI" author = "Hegel AI" -release = "0.0.36" +release = "0.0.37" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/prompttools/version.py b/prompttools/version.py index a13926e1..53b666cd 100644 --- a/prompttools/version.py +++ b/prompttools/version.py @@ -1,2 +1,2 @@ -__version__ = '0.0.36a0+b87346b' -git_version = 'b87346b7db47f062ff439ef096c19f23a4f60c31' +__version__ = '0.0.37a0+cc45f93' +git_version = 'cc45f93f7133d87d85583232331e59ccf96d35ab' diff --git a/pyproject.toml b/pyproject.toml index 337f2e91..303b6424 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "prompttools" -version = "0.0.36" +version = "0.0.37" authors = [ { name="Hegel AI", email="team@hegel-ai.com" }, ] diff --git a/requirements.txt b/requirements.txt index 2cd24563..64d96f3e 100644 --- a/requirements.txt +++ b/requirements.txt @@ -5,6 +5,5 @@ pandas jinja2 jupyterlab ipywidgets -sentence-transformers pylint sentry-sdk>=1.23.0 diff --git a/version.txt b/version.txt index b2da20ac..9bc67b00 100644 --- a/version.txt +++ b/version.txt @@ -1 +1 @@ -0.0.36a0 +0.0.37a0 From 4c5c5037966c51da6db03f88e73696e5748996ea Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 24 Oct 2023 12:02:17 -0400 Subject: [PATCH 089/182] Update state variables for `run_partial` --- .../experiment/experiments/openai_chat_experiment.py | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index eb67ecda..c0c9401e 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -294,6 +294,10 @@ def run_partial(self, **kwargs): raise RuntimeError("Not supported.") arg_name, arg_value = list(kwargs.items())[0] + orginal_arg_value = arg_value + if arg_name == "messages" and isinstance(arg_value, PromptSelector): + arg_value = arg_value.for_openai_chat() + partial_all_args = copy.deepcopy(self.all_args) partial_all_args[arg_name] = [arg_value] @@ -321,6 +325,13 @@ def run_partial(self, **kwargs): # If `arg_value` didn't exist before, add to `argument_combos`, which will be used in the next `.run()` if arg_value not in self.all_args[arg_name]: + if arg_name == "messages": + if isinstance(orginal_arg_value, PromptSelector): + self.prompt_keys[ + str(orginal_arg_value.for_openai_chat()[-1]["content"]) + ] = orginal_arg_value.for_llama() + else: + self.prompt_keys.append(arg_value) self.all_args[arg_name].append(arg_value) self.prepare() From 06a096caaed5951a573eb280836b1066fa0ab111 Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 24 Oct 2023 12:22:50 -0400 Subject: [PATCH 090/182] Adding experiment type --- .../experiment/experiments/openai_chat_experiment.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index c0c9401e..1bc5e3d0 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -188,6 +188,7 @@ def _get_state(self, name: str): state = ( name, self._experiment_id, + "OpenAIChat", # Experiment Type state_params, self.full_df, partial_col_names, @@ -255,7 +256,13 @@ def _load_state(cls, state, experiment_id: str): full_df, partial_col_names, score_col_names, + experiment_type_str, ) = state + if experiment_type_str != "OpenAIChat": + raise RuntimeError( + f"The Experiment Type you are trying to load is {experiment_type_str}," + "which does not match the current class." + ) all_args, prompt_keys = state_params["all_args"], state_params["prompt_keys"] experiment = cls(all_args["model"], all_args["messages"]) From 9eaf7f863ae24b37d3b6159df99c86ed8ba4e8e3 Mon Sep 17 00:00:00 2001 From: Kevin Tse Date: Wed, 25 Oct 2023 01:41:23 -0400 Subject: [PATCH 091/182] Handling duplicate column name from response (#100) --- prompttools/experiment/experiments/experiment.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/prompttools/experiment/experiments/experiment.py b/prompttools/experiment/experiments/experiment.py index 31f7dd44..451fb63f 100644 --- a/prompttools/experiment/experiments/experiment.py +++ b/prompttools/experiment/experiments/experiment.py @@ -245,7 +245,11 @@ def _construct_result_dfs( if extract_response_equal_full_result: result_df = response_df else: - result_df = pd.concat([response_df, pd.DataFrame(results)], axis=1) + # Handle the case where `input_arg_df` has the same column names as `result_df` + result_df = pd.DataFrame(results) + common_columns = set(input_arg_df.columns) & set(result_df.columns) + result_df = result_df.add_prefix("response_") if common_columns else result_df + result_df = pd.concat([response_df, result_df], axis=1) # `score_df` contains computed metrics (e.g. latency, evaluation metrics) self.score_df = pd.DataFrame({"latency": latencies}) From c5bb20e58e9f2915b9064a2cd0f9338e77b7e836 Mon Sep 17 00:00:00 2001 From: Kevin Tse Date: Thu, 26 Oct 2023 14:11:02 -0400 Subject: [PATCH 092/182] Fix optional module issue with CI (#102) * Adding SciPy to requirements * Adding sentence_transformers to requirements * Fix optional module issue * Fix optional module issue * Fix optional module issue --- .github/workflows/ci.yml | 1 + prompttools/utils/ranking_correlation.py | 10 +++++++++- prompttools/utils/similarity.py | 4 ++-- test/requirements.txt | 1 + 4 files changed, 13 insertions(+), 3 deletions(-) create mode 100644 test/requirements.txt diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index e4e585ab..9f11b32e 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -27,6 +27,7 @@ jobs: python -m pip install --upgrade pip python -m pip install flake8 pytest if [ -f requirements.txt ]; then pip install -r requirements.txt; fi + if [ -f test/requirements.txt ]; then pip install -r test/requirements.txt; fi - name: Lint with flake8 run: | # exit-zero treats all errors as warnings. The GitHub editor is 120 chars wide diff --git a/prompttools/utils/ranking_correlation.py b/prompttools/utils/ranking_correlation.py index 92b92715..3abb6c84 100644 --- a/prompttools/utils/ranking_correlation.py +++ b/prompttools/utils/ranking_correlation.py @@ -5,7 +5,10 @@ # LICENSE file in the root directory of this source tree. -import scipy.stats as stats +try: + import scipy.stats as stats +except ImportError: + stats = None import pandas @@ -32,6 +35,11 @@ def ranking_correlation( >>> ] >>> experiment.evaluate("ranking_correlation", ranking_correlation, expected_ranking=EXPECTED_RANKING_LIST) """ + if stats is None: + raise ModuleNotFoundError( + "Package `SciPy` is required to be installed to use this evaluation method." + "Please use `pip install scipy` to install the package" + ) actual_ranking = row[ranking_column_name] if len(expected_ranking) == 1 and len(actual_ranking) == 1: return 1.0 if expected_ranking == actual_ranking else -1.0 diff --git a/prompttools/utils/similarity.py b/prompttools/utils/similarity.py index 368ed099..33a74eaa 100644 --- a/prompttools/utils/similarity.py +++ b/prompttools/utils/similarity.py @@ -105,12 +105,12 @@ def structural_similarity( """ if cv2 is None: raise ModuleNotFoundError( - "Package `cv2` is required to be installed to use this experiment." + "Package `cv2` is required to be installed to use this evaluation method." "Please use `pip install opencv-python` to install the package" ) if skimage_structural_similarity is None: raise ModuleNotFoundError( - "Package `skimage` is required to be installed to use this experiment." + "Package `skimage` is required to be installed to use this evaluation method." "Please use `pip install scikit-image` to install the package" ) if len(expected) == 1: diff --git a/test/requirements.txt b/test/requirements.txt new file mode 100644 index 00000000..470db3cc --- /dev/null +++ b/test/requirements.txt @@ -0,0 +1 @@ +sentence_transformers From fc1d83edea9163a1a50b9b76f4498c9564ce7a00 Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Thu, 26 Oct 2023 13:39:21 -0700 Subject: [PATCH 093/182] Fix behavior for 0 messages --- .../experiment/experiments/openai_chat_experiment.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index f8a7226c..6b35b502 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -87,8 +87,8 @@ class OpenAIChatExperiment(Experiment): def __init__( self, - model: List[str], - messages: Union[List[List[Dict[str, str]]], List[PromptSelector]], + model: List[str] = ['gpt-3.5-turbo'], + messages: Union[List[List[Dict[str, str]]], List[PromptSelector]] = [], temperature: Optional[List[float]] = [1.0], top_p: Optional[List[float]] = [1.0], n: Optional[List[int]] = [1], @@ -112,7 +112,7 @@ def __init__( # If we are using a prompt selector, we need to render # messages, as well as create prompt_keys to map the messages # to corresponding prompts in other models. - if isinstance(messages[0], PromptSelector): + if len(messages) > 0 and isinstance(messages[0], PromptSelector): self.prompt_keys = { str(selector.for_openai_chat()[-1]["content"]): selector.for_llama() for selector in messages } From 2d664931b45022e08606e12febeb2ed3f98f0796 Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Thu, 26 Oct 2023 13:41:14 -0700 Subject: [PATCH 094/182] Version bump --- docs/source/conf.py | 2 +- prompttools/version.py | 4 ++-- pyproject.toml | 2 +- version.txt | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index d473a899..5cc11738 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -11,7 +11,7 @@ project = "prompttools" copyright = "2023, Hegel AI" author = "Hegel AI" -release = "0.0.37" +release = "0.0.38" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/prompttools/version.py b/prompttools/version.py index 53b666cd..464b6921 100644 --- a/prompttools/version.py +++ b/prompttools/version.py @@ -1,2 +1,2 @@ -__version__ = '0.0.37a0+cc45f93' -git_version = 'cc45f93f7133d87d85583232331e59ccf96d35ab' +__version__ = '0.0.38a0+fc1d83e' +git_version = 'fc1d83edea9163a1a50b9b76f4498c9564ce7a00' diff --git a/pyproject.toml b/pyproject.toml index 303b6424..5817bc81 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "prompttools" -version = "0.0.37" +version = "0.0.38" authors = [ { name="Hegel AI", email="team@hegel-ai.com" }, ] diff --git a/version.txt b/version.txt index 9bc67b00..71d96866 100644 --- a/version.txt +++ b/version.txt @@ -1 +1 @@ -0.0.37a0 +0.0.38a0 From ad1e408033eaa8893a6483854abae6bdddb198de Mon Sep 17 00:00:00 2001 From: Kevin Date: Sun, 29 Oct 2023 16:48:22 -0400 Subject: [PATCH 095/182] Refactor and adding new harnesses --- .../remote/Test_Remote_Harness.ipynb | 1923 +++++++++++++++++ .../Test_Remote_OpenAIChat.ipynb} | 540 +++-- prompttools/common.py | 1 + .../experiment/experiments/experiment.py | 28 +- .../experiments/openai_chat_experiment.py | 59 +- prompttools/harness/__init__.py | 4 + .../harness/chat_prompt_template_harness.py | 137 ++ prompttools/harness/harness.py | 91 +- .../harness/model_comparison_harness.py | 183 ++ prompttools/harness/system_prompt_harness.py | 49 +- prompttools/harness/utility.py | 15 + 11 files changed, 2785 insertions(+), 245 deletions(-) create mode 100644 examples/notebooks/remote/Test_Remote_Harness.ipynb rename examples/notebooks/{test_app.ipynb => remote/Test_Remote_OpenAIChat.ipynb} (85%) create mode 100644 prompttools/common.py create mode 100644 prompttools/harness/chat_prompt_template_harness.py create mode 100644 prompttools/harness/model_comparison_harness.py create mode 100644 prompttools/harness/utility.py diff --git a/examples/notebooks/remote/Test_Remote_Harness.ipynb b/examples/notebooks/remote/Test_Remote_Harness.ipynb new file mode 100644 index 00000000..0d8a6498 --- /dev/null +++ b/examples/notebooks/remote/Test_Remote_Harness.ipynb @@ -0,0 +1,1923 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "0921cecc", + "metadata": {}, + "outputs": [], + "source": [ + "from prompttools.experiment import OpenAIChatExperiment\n", + "from prompttools.harness import SystemPromptExperimentationHarness, ChatPromptTemplateExperimentationHarness, ModelComparisonHarness\n", + "\n", + "import os\n", + "\n", + "os.environ[\"OPENAI_API_KEY\"] = \"\"\n", + "os.environ[\"HEGELAI_API_KEY\"] = \"\"" + ] + }, + { + "cell_type": "markdown", + "id": "38786a7d", + "metadata": {}, + "source": [ + "## Prompt Template" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "0dfa645c", + "metadata": {}, + "outputs": [], + "source": [ + "message_templates = [\n", + " [\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", + " {\"role\": \"user\", \"content\": \"Who was the {{input}} president?\"},\n", + " ],\n", + " [\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", + " {\"role\": \"user\", \"content\": \"Who was the {{input}} vice president?\"},\n", + " ]\n", + "]\n", + "\n", + "user_inputs = [{\"input\": \"first\"}, {\"input\": \"second\"}]\n", + "\n", + "\n", + "harness = ChatPromptTemplateExperimentationHarness(OpenAIChatExperiment,\n", + " \"gpt-3.5-turbo\",\n", + " message_templates,\n", + " user_inputs,\n", + " model_arguments=None)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e6b84646", + "metadata": {}, + "outputs": [], + "source": [ + "harness.prepare()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "cc6cc3ea", + "metadata": {}, + "outputs": [], + "source": [ + "harness.run()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "6f5d85de", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " user_inputs \\\n", + "0 {'input': 'first'} \n", + "1 {'input': 'second'} \n", + "2 {'input': 'first'} \n", + "3 {'input': 'second'} \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", + "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}] \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The second president of the United States was John Adams. \n", + "2 The first Vice President of the United States was John Adams, serving under President George Washington from 1789 to 1797. \n", + "3 The second Vice President of the United States was Thomas Jefferson, serving under President John Adams from 1797 to 1801. \n", + "\n", + " latency \n", + "0 1.197017 \n", + "1 0.479534 \n", + "2 0.806056 \n", + "3 1.065417 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "harness.visualize()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "dca05d0e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating state of experiment...\n", + "Creating state of experiment...\n", + "Sending HTTP POST request...\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "harness.save_experiment(\"HARNESS\")" + ] + }, + { + "cell_type": "markdown", + "id": "7b3d27fa", + "metadata": {}, + "source": [ + "### Load from Remote" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "da6b96a2", + "metadata": {}, + "outputs": [], + "source": [ + "harness_from_load = ChatPromptTemplateExperimentationHarness.load_experiment(harness._experiment_id)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "243ff097", + "metadata": {}, + "outputs": [], + "source": [ + "harness_from_load.visualize()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "eac45d4d", + "metadata": {}, + "outputs": [], + "source": [ + "harness_from_load.run()\n", + "harness_from_load.visualize()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "eaa30c25", + "metadata": {}, + "outputs": [], + "source": [ + "harness_from_load.experiment.run()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "feb04ffb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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modelmessagestemperaturetop_pnstreampresence_penaltyfrequency_penaltyresponseresponse_idresponse_objectresponse_createdresponse_modelresponse_choicesresponse_usagelatency
0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]1.01.01False0.00.0The first president of the United States was George Washington.chatcmpl-8F4wN02YkqM8t17K8Jz8UliEEYY7Fchat.completion1698604603gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}0.829433
1gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}]1.01.01False0.00.0The second president of the United States was John Adams.chatcmpl-8F4wOBz1Fnv0snkIIjsgWDYCJbCFNchat.completion1698604604gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The second president of the United States was John Adams.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}0.712007
2gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]1.01.01False0.00.0The first vice president of the United States was John Adams. He served under President George Washington from 1789 to 1797.chatcmpl-8F4wOTBLjCC9dnI29Jyi8ol3UPw7Rchat.completion1698604604gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first vice president of the United States was John Adams. He served under President George Washington from 1789 to 1797.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 24, 'completion_tokens': 27, 'total_tokens': 51}1.023236
3gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}]1.01.01False0.00.0The second Vice President of the United States was Thomas Jefferson. He served as Vice President under President John Adams from 1797 to 1801.chatcmpl-8F4wQoEXOUtRbwj4B5xgr7HrlWfoOchat.completion1698604606gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The second Vice President of the United States was Thomas Jefferson. He served as Vice President under President John Adams from 1797 to 1801.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 24, 'completion_tokens': 30, 'total_tokens': 54}1.333316
0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]1.01.01False0.00.0The first president of the United States was George Washington. He served from 1789-1797.chatcmpl-8F4wa7MquDquowetG3AIQomJqJlgGchat.completion1698604616gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served from 1789-1797.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 21, 'total_tokens': 44}0.853307
1gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}]1.01.01False0.00.0The second president of the United States was John Adams.chatcmpl-8F4wbktfasTPH3OmSnzK0ElmbNW19chat.completion1698604617gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The second president of the United States was John Adams.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}0.717581
2gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]1.01.01False0.00.0The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797.chatcmpl-8F4wb39Imx8WTTcrP6GPLDfzJ1fN5chat.completion1698604617gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 24, 'completion_tokens': 30, 'total_tokens': 54}1.124732
3gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}]1.01.01False0.00.0The second Vice President of the United States was Thomas Jefferson, serving from 1797 to 1801 under President John Adams.chatcmpl-8F4wc5lSprgny70aSqHQLP58gMWCRchat.completion1698604618gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The second Vice President of the United States was Thomas Jefferson, serving from 1797 to 1801 under President John Adams.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 24, 'completion_tokens': 26, 'total_tokens': 50}0.715227
0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]1.01.01False0.00.0The first president of the United States was George Washington. He served as president from 1789 to 1797.chatcmpl-8F4xSEJkYZ8YqC9K9CJ9IfUHj4k3Cchat.completion1698604670gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47}0.946845
1gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}]1.01.01False0.00.0The second president of the United States was John Adams.chatcmpl-8F4xTjgZqWNoYUvvEduczKmSBhEgmchat.completion1698604671gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The second president of the United States was John Adams.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}0.716422
2gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]1.01.01False0.00.0The first Vice President of the United States was John Adams. He served from 1789 to 1797 under President George Washington.chatcmpl-8F4xUdAiuVAZ5c7M40KdAQM88GAqNchat.completion1698604672gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first Vice President of the United States was John Adams. He served from 1789 to 1797 under President George Washington.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 24, 'completion_tokens': 27, 'total_tokens': 51}1.031161
3gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}]1.01.01False0.00.0The second vice president of the United States was Thomas Jefferson.chatcmpl-8F4xVmrsfR17Tn4NbNJiYvsrQ12T7chat.completion1698604673gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The second vice president of the United States was Thomas Jefferson.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 24, 'completion_tokens': 12, 'total_tokens': 36}0.712583
0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]1.01.01False0.00.0The first president of the United States was George Washington. He served as the country's president from 1789 to 1797.chatcmpl-8F4xZXe1bYYMs6Fvdzshgy71j5AuTchat.completion1698604677gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as the country's president from 1789 to 1797.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 27, 'total_tokens': 50}1.026579
1gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}]1.01.01False0.00.0The second president of the United States was John Adams, serving from 1797 to 1801.chatcmpl-8F4xa3vbyy0Tmo9sRapQ0AW8dyeApchat.completion1698604678gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The second president of the United States was John Adams, serving from 1797 to 1801.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 21, 'total_tokens': 44}0.922105
2gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]1.01.01False0.00.0The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797.chatcmpl-8F4xbKCF97VHxoeuzuno4YUoQuovlchat.completion1698604679gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 24, 'completion_tokens': 30, 'total_tokens': 54}0.921220
3gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}]1.01.01False0.00.0The second Vice President of the United States was Thomas Jefferson. He served under President John Adams from 1797 to 1801.chatcmpl-8F4xbdIvxnae3r0jiYPQGcpKe7hmWchat.completion1698604679gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The second Vice President of the United States was Thomas Jefferson. He served under President John Adams from 1797 to 1801.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 24, 'completion_tokens': 27, 'total_tokens': 51}0.925952
\n", + "
" + ], + "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "2 gpt-3.5-turbo \n", + "3 gpt-3.5-turbo \n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "2 gpt-3.5-turbo \n", + "3 gpt-3.5-turbo \n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "2 gpt-3.5-turbo \n", + "3 gpt-3.5-turbo \n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "2 gpt-3.5-turbo \n", + "3 gpt-3.5-turbo \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", + "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}] \n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", + "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}] \n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", + "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}] \n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", + "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}] \n", + "\n", + " temperature top_p n stream presence_penalty frequency_penalty \\\n", + "0 1.0 1.0 1 False 0.0 0.0 \n", + "1 1.0 1.0 1 False 0.0 0.0 \n", + "2 1.0 1.0 1 False 0.0 0.0 \n", + "3 1.0 1.0 1 False 0.0 0.0 \n", + "0 1.0 1.0 1 False 0.0 0.0 \n", + "1 1.0 1.0 1 False 0.0 0.0 \n", + "2 1.0 1.0 1 False 0.0 0.0 \n", + "3 1.0 1.0 1 False 0.0 0.0 \n", + "0 1.0 1.0 1 False 0.0 0.0 \n", + "1 1.0 1.0 1 False 0.0 0.0 \n", + "2 1.0 1.0 1 False 0.0 0.0 \n", + "3 1.0 1.0 1 False 0.0 0.0 \n", + "0 1.0 1.0 1 False 0.0 0.0 \n", + "1 1.0 1.0 1 False 0.0 0.0 \n", + "2 1.0 1.0 1 False 0.0 0.0 \n", + "3 1.0 1.0 1 False 0.0 0.0 \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. \n", + "1 The second president of the United States was John Adams. \n", + "2 The first vice president of the United States was John Adams. He served under President George Washington from 1789 to 1797. \n", + "3 The second Vice President of the United States was Thomas Jefferson. He served as Vice President under President John Adams from 1797 to 1801. \n", + "0 The first president of the United States was George Washington. He served from 1789-1797. \n", + "1 The second president of the United States was John Adams. \n", + "2 The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797. \n", + "3 The second Vice President of the United States was Thomas Jefferson, serving from 1797 to 1801 under President John Adams. \n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The second president of the United States was John Adams. \n", + "2 The first Vice President of the United States was John Adams. He served from 1789 to 1797 under President George Washington. \n", + "3 The second vice president of the United States was Thomas Jefferson. \n", + "0 The first president of the United States was George Washington. He served as the country's president from 1789 to 1797. \n", + "1 The second president of the United States was John Adams, serving from 1797 to 1801. \n", + "2 The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797. \n", + "3 The second Vice President of the United States was Thomas Jefferson. He served under President John Adams from 1797 to 1801. \n", + "\n", + " response_id response_object response_created \\\n", + "0 chatcmpl-8F4wN02YkqM8t17K8Jz8UliEEYY7F chat.completion 1698604603 \n", + "1 chatcmpl-8F4wOBz1Fnv0snkIIjsgWDYCJbCFN chat.completion 1698604604 \n", + "2 chatcmpl-8F4wOTBLjCC9dnI29Jyi8ol3UPw7R chat.completion 1698604604 \n", + "3 chatcmpl-8F4wQoEXOUtRbwj4B5xgr7HrlWfoO chat.completion 1698604606 \n", + "0 chatcmpl-8F4wa7MquDquowetG3AIQomJqJlgG chat.completion 1698604616 \n", + "1 chatcmpl-8F4wbktfasTPH3OmSnzK0ElmbNW19 chat.completion 1698604617 \n", + "2 chatcmpl-8F4wb39Imx8WTTcrP6GPLDfzJ1fN5 chat.completion 1698604617 \n", + "3 chatcmpl-8F4wc5lSprgny70aSqHQLP58gMWCR chat.completion 1698604618 \n", + "0 chatcmpl-8F4xSEJkYZ8YqC9K9CJ9IfUHj4k3C chat.completion 1698604670 \n", + "1 chatcmpl-8F4xTjgZqWNoYUvvEduczKmSBhEgm chat.completion 1698604671 \n", + "2 chatcmpl-8F4xUdAiuVAZ5c7M40KdAQM88GAqN chat.completion 1698604672 \n", + "3 chatcmpl-8F4xVmrsfR17Tn4NbNJiYvsrQ12T7 chat.completion 1698604673 \n", + "0 chatcmpl-8F4xZXe1bYYMs6Fvdzshgy71j5AuT chat.completion 1698604677 \n", + "1 chatcmpl-8F4xa3vbyy0Tmo9sRapQ0AW8dyeAp chat.completion 1698604678 \n", + "2 chatcmpl-8F4xbKCF97VHxoeuzuno4YUoQuovl chat.completion 1698604679 \n", + "3 chatcmpl-8F4xbdIvxnae3r0jiYPQGcpKe7hmW chat.completion 1698604679 \n", + "\n", + " response_model \\\n", + "0 gpt-3.5-turbo-0613 \n", + "1 gpt-3.5-turbo-0613 \n", + "2 gpt-3.5-turbo-0613 \n", + "3 gpt-3.5-turbo-0613 \n", + "0 gpt-3.5-turbo-0613 \n", + "1 gpt-3.5-turbo-0613 \n", + "2 gpt-3.5-turbo-0613 \n", + "3 gpt-3.5-turbo-0613 \n", + "0 gpt-3.5-turbo-0613 \n", + "1 gpt-3.5-turbo-0613 \n", + "2 gpt-3.5-turbo-0613 \n", + "3 gpt-3.5-turbo-0613 \n", + "0 gpt-3.5-turbo-0613 \n", + "1 gpt-3.5-turbo-0613 \n", + "2 gpt-3.5-turbo-0613 \n", + "3 gpt-3.5-turbo-0613 \n", + "\n", + " response_choices \\\n", + "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}] \n", + "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second president of the United States was John Adams.'}, 'finish_reason': 'stop'}] \n", + "2 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first vice president of the United States was John Adams. He served under President George Washington from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", + "3 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second Vice President of the United States was Thomas Jefferson. He served as Vice President under President John Adams from 1797 to 1801.'}, 'finish_reason': 'stop'}] \n", + "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served from 1789-1797.'}, 'finish_reason': 'stop'}] \n", + "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second president of the United States was John Adams.'}, 'finish_reason': 'stop'}] \n", + "2 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", + "3 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second Vice President of the United States was Thomas Jefferson, serving from 1797 to 1801 under President John Adams.'}, 'finish_reason': 'stop'}] \n", + "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", + "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second president of the United States was John Adams.'}, 'finish_reason': 'stop'}] \n", + "2 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first Vice President of the United States was John Adams. He served from 1789 to 1797 under President George Washington.'}, 'finish_reason': 'stop'}] \n", + "3 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second vice president of the United States was Thomas Jefferson.'}, 'finish_reason': 'stop'}] \n", + "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as the country's president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", + "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second president of the United States was John Adams, serving from 1797 to 1801.'}, 'finish_reason': 'stop'}] \n", + "2 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", + "3 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second Vice President of the United States was Thomas Jefferson. He served under President John Adams from 1797 to 1801.'}, 'finish_reason': 'stop'}] \n", + "\n", + " response_usage \\\n", + "0 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", + "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", + "2 {'prompt_tokens': 24, 'completion_tokens': 27, 'total_tokens': 51} \n", + "3 {'prompt_tokens': 24, 'completion_tokens': 30, 'total_tokens': 54} \n", + "0 {'prompt_tokens': 23, 'completion_tokens': 21, 'total_tokens': 44} \n", + "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", + "2 {'prompt_tokens': 24, 'completion_tokens': 30, 'total_tokens': 54} \n", + "3 {'prompt_tokens': 24, 'completion_tokens': 26, 'total_tokens': 50} \n", + "0 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", + "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", + "2 {'prompt_tokens': 24, 'completion_tokens': 27, 'total_tokens': 51} \n", + "3 {'prompt_tokens': 24, 'completion_tokens': 12, 'total_tokens': 36} \n", + "0 {'prompt_tokens': 23, 'completion_tokens': 27, 'total_tokens': 50} \n", + "1 {'prompt_tokens': 23, 'completion_tokens': 21, 'total_tokens': 44} \n", + "2 {'prompt_tokens': 24, 'completion_tokens': 30, 'total_tokens': 54} \n", + "3 {'prompt_tokens': 24, 'completion_tokens': 27, 'total_tokens': 51} \n", + "\n", + " latency \n", + "0 0.829433 \n", + "1 0.712007 \n", + "2 1.023236 \n", + "3 1.333316 \n", + "0 0.853307 \n", + "1 0.717581 \n", + "2 1.124732 \n", + "3 0.715227 \n", + "0 0.946845 \n", + "1 0.716422 \n", + "2 1.031161 \n", + "3 0.712583 \n", + "0 1.026579 \n", + "1 0.922105 \n", + "2 0.921220 \n", + "3 0.925952 " + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "harness_from_load.experiment.full_df" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "f72c4024", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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user_inputsmessagesresponselatency
0{'input': 'first'}[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797.1.023014
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2{'input': 'first'}[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]The first vice president of the United States was John Adams. He served as vice president under President George Washington from 1789 to 1797.1.023490
3{'input': 'second'}[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}]The second Vice President of the United States was Thomas Jefferson. He served as Vice President under President John Adams from 1797 to 1801.0.923946
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user_inputsmessagesresponselatency
0{'input': 'first'}[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington.0.551219
1{'input': 'second'}[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}]The second president of the United States was John Adams.0.510815
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3{'input': 'second'}[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}]The second Vice President of the United States was Thomas Jefferson. He served as Vice President from 1797 to 1801, under President John Adams.0.921390
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" + ], + "text/plain": [ + " user_inputs \\\n", + "0 {'input': 'first'} \n", + "1 {'input': 'second'} \n", + "2 {'input': 'first'} \n", + "3 {'input': 'second'} \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", + "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}] \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. \n", + "1 The second president of the United States was John Adams. \n", + "2 The first Vice President of the United States was John Adams. Adams served as Vice President from 1789 to 1797, during President George Washington's administration. \n", + "3 The second Vice President of the United States was Thomas Jefferson. He served as Vice President from 1797 to 1801, under President John Adams. \n", + "\n", + " latency \n", + "0 0.551219 \n", + "1 0.510815 \n", + "2 1.535680 \n", + "3 0.921390 " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "harness.experiment.partial_df" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "afc8e067", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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user_inputsmessagesresponselatency
0{'input': 'first'}[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797.1.023014
1{'input': 'second'}[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}]The second president of the United States was John Adams. He served from 1797 to 1801.2.899930
2{'input': 'first'}[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]The first vice president of the United States was John Adams. He served as vice president under President George Washington from 1789 to 1797.1.023490
3{'input': 'second'}[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}]The second Vice President of the United States was Thomas Jefferson. He served as Vice President under President John Adams from 1797 to 1801.0.923946
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" + ], + "text/plain": [ + " user_inputs \\\n", + "0 {'input': 'first'} \n", + "1 {'input': 'second'} \n", + "2 {'input': 'first'} \n", + "3 {'input': 'second'} \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", + "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}] \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The second president of the United States was John Adams. He served from 1797 to 1801. \n", + "2 The first vice president of the United States was John Adams. He served as vice president under President George Washington from 1789 to 1797. \n", + "3 The second Vice President of the United States was Thomas Jefferson. He served as Vice President under President John Adams from 1797 to 1801. \n", + "\n", + " latency \n", + "0 1.023014 \n", + "1 2.899930 \n", + "2 1.023490 \n", + "3 0.923946 " + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "harness_from_load.experiment.partial_df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "19f2f8a3", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "2ebbc052", + "metadata": {}, + "source": [ + "## System Prompt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "ceebff99", + "metadata": {}, + "outputs": [], + "source": [ + "system_prompts = [\"You are a helpful assistant.\", \"You are a 5th grade history teacher.\"]\n", + "human_message = [ \"Who was the first president?\", \"Who was the first vice president?\"]\n", + "\n", + "\n", + "\n", + "harness = SystemPromptExperimentationHarness(OpenAIChatExperiment,\n", + " \"gpt-3.5-turbo\",\n", + " system_prompts,\n", + " human_message,\n", + " model_arguments=None)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "9e977468", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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messagesresponselatency
0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797.0.987327
1[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]The first vice president of the United States was John Adams. He served as vice president under President George Washington from 1789 to 1797.1.222432
2[{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797 and played a crucial role in establishing many of the practices and institutions that still exist in our country today.1.434122
3[{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]The first vice president of the United States was John Adams. He served as the vice president under President George Washington from 1789 to 1797. Adams later became the second president of the United States.1.125934
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" + ], + "text/plain": [ + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "3 [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first vice president of the United States was John Adams. He served as vice president under President George Washington from 1789 to 1797. \n", + "2 The first president of the United States was George Washington. He served as president from 1789 to 1797 and played a crucial role in establishing many of the practices and institutions that still exist in our country today. \n", + "3 The first vice president of the United States was John Adams. He served as the vice president under President George Washington from 1789 to 1797. Adams later became the second president of the United States. \n", + "\n", + " latency \n", + "0 0.987327 \n", + "1 1.222432 \n", + "2 1.434122 \n", + "3 1.125934 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "harness.prepare()\n", + "harness.run()\n", + "harness.visualize()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a19ce65f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating state of experiment...\n", + "Creating state of experiment...\n", + "Sending HTTP POST request...\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "harness.save_experiment(\"SysPrompt HARNESS\")" + ] + }, + { + "cell_type": "markdown", + "id": "f4831e64", + "metadata": {}, + "source": [ + "### Load from Remote" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "c4fea464", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sending HTTP GET request...\n", + "Loaded experiment.\n", + "Loaded harness.\n" + ] + } + ], + "source": [ + "harness_from_load = SystemPromptExperimentationHarness.load_experiment(harness._experiment_id)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "136f25ca", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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messagesresponselatency
0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797.0.987327
1[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]The first vice president of the United States was John Adams. He served as vice president under President George Washington from 1789 to 1797.1.222432
2[{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797 and played a crucial role in establishing many of the practices and institutions that still exist in our country today.1.434122
3[{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]The first vice president of the United States was John Adams. He served as the vice president under President George Washington from 1789 to 1797. Adams later became the second president of the United States.1.125934
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messagesresponselatency
0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797.0.987327
1[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]The first vice president of the United States was John Adams. He served as vice president under President George Washington from 1789 to 1797.1.222432
2[{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797 and played a crucial role in establishing many of the practices and institutions that still exist in our country today.1.434122
3[{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]The first vice president of the United States was John Adams. He served as the vice president under President George Washington from 1789 to 1797. Adams later became the second president of the United States.1.125934
0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797.1.101437
1[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]The first vice president of the United States was John Adams. He served under President George Washington from 1789 to 1797.0.816013
2[{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as the President from 1789 to 1797.0.723490
3[{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]The first vice president of the United States was John Adams. He served as vice president under President George Washington from 1789 to 1797.1.122580
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messagesresponselatency
0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797.1.090410
1[{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He was elected in 1789 and served two terms as the country's leader.1.208399
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messagesresponselatencydumb_eval_metric
0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797.1.090410EVAL'ED The first
1[{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He was elected in 1789 and served two terms as the country's leader.1.208399EVAL'ED The first
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" + ], + "text/plain": [ + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. He was elected in 1789 and served two terms as the country's leader. \n", + "\n", + " latency dumb_eval_metric \n", + "0 1.090410 EVAL'ED The first \n", + "1 1.208399 EVAL'ED The first " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def _dumb_eval(row):\n", + " return \"EVAL'ED \" + row['response'][:10]\n", + "\n", + "\n", + "harness.evaluate(\"dumb_eval_metric\", _dumb_eval)\n", + "harness.visualize()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "625b4da4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating state of experiment...\n", + "Creating state of experiment...\n", + "Creating state of experiment...\n", + "Sending HTTP POST request...\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "harness.save_experiment(\"Comparison HARNESS\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "370caae6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sending HTTP GET request...\n", + "Loaded experiment.\n", + "Loaded experiment.\n", + "Loaded harness.\n" + ] + } + ], + "source": [ + "harness_from_load = ModelComparisonHarness.load_experiment(harness._experiment_id)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "ab9110f9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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messagesresponselatencydumb_eval_metric
0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797.1.090410EVAL'ED The first
1[{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He was elected in 1789 and served two terms as the country's leader.1.208399EVAL'ED The first
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messagesresponselatencydumb_eval_metric
0[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797.1.090410EVAL'ED The first
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2[{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He was elected in 1789 and served two terms as the country's leader.1.208399EVAL'ED The first
3[{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797. George Washington was also a general during the American Revolutionary War and played a crucial role in leading the country to independence.1.557461NaN
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" + ], + "text/plain": [ + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "3 [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. \n", + "2 The first president of the United States was George Washington. He was elected in 1789 and served two terms as the country's leader. \n", + "3 The first president of the United States was George Washington. He served as president from 1789 to 1797. George Washington was also a general during the American Revolutionary War and played a crucial role in leading the country to independence. \n", + "\n", + " latency dumb_eval_metric \n", + "0 1.090410 EVAL'ED The first \n", + "1 0.888243 NaN \n", + "2 1.208399 EVAL'ED The first \n", + "3 1.557461 NaN " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "harness_from_load.visualize()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "64dcc0c9", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/notebooks/test_app.ipynb b/examples/notebooks/remote/Test_Remote_OpenAIChat.ipynb similarity index 85% rename from examples/notebooks/test_app.ipynb rename to examples/notebooks/remote/Test_Remote_OpenAIChat.ipynb index d1bf3514..93de0741 100644 --- a/examples/notebooks/test_app.ipynb +++ b/examples/notebooks/remote/Test_Remote_OpenAIChat.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -78,14 +78,14 @@ " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " 1.064314\n", + " 1.105475\n", " \n", " \n", " 1\n", " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington.\n", - " 0.607052\n", + " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", + " 1.025263\n", " \n", " \n", "\n", @@ -102,11 +102,11 @@ "\n", " response \\\n", "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. \n", + "1 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", "\n", " latency \n", - "0 1.064314 \n", - "1 0.607052 " + "0 1.105475 \n", + "1 1.025263 " ] }, "metadata": {}, @@ -410,7 +410,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -424,30 +424,28 @@ } ], "source": [ - "res = experiment.save_experiment(\"TEST_SAVE_NAME\")\n", + "res = experiment.save_experiment(\"TEST_SAVE_NAME2\")\n", "\n", - "print(res)\n", - "\n" + "print(res)" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 5, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "'ed500f64-9589-4acb-b479-f201abfe6865'" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "afcac088-eaaa-4ffd-abeb-89f4ba416734\n", + "c60795e9-efaa-4de0-9a16-770f22e13efc\n" + ] } ], "source": [ - "experiment._experiment_id" + "print(experiment._experiment_id)\n", + "print(experiment._revision_id)" ] }, { @@ -484,7 +482,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -492,52 +490,17 @@ "output_type": "stream", "text": [ "Sending HTTP GET request...\n", - "experiment.full_df = model \\\n", - "0 gpt-3.5-turbo \n", - "1 gpt-3.5-turbo \n", - "\n", - " messages \\\n", - "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "\n", - " temperature top_p n stream presence_penalty frequency_penalty \\\n", - "0 0.0 1.0 1 False 0.0 0.0 \n", - "1 1.0 1.0 1 False 0.0 0.0 \n", - "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. \n", - "\n", - " response_id response_object response_created \\\n", - "0 chatcmpl-88ccstwsKs3yan1ESPBTb5RgP40NF chat.completion 1697065794 \n", - "1 chatcmpl-88cct1W9crL65HnRz5uBkVa4Nk4L3 chat.completion 1697065795 \n", - "\n", - " response_model \\\n", - "0 gpt-3.5-turbo-0613 \n", - "1 gpt-3.5-turbo-0613 \n", - "\n", - " response_choices \\\n", - "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", - "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}] \n", - "\n", - " response_usage \\\n", - "0 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", - "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", - "\n", - " latency revision_id \n", - "0 1.934486 86bf8267-b648-45ff-b4bc-c82ef112f6ab \n", - "1 0.709772 86bf8267-b648-45ff-b4bc-c82ef112f6ab \n", "Loaded experiment.\n" ] } ], "source": [ - "experiment_from_load = OpenAIChatExperiment.load_experiment('ed500f64-9589-4acb-b479-f201abfe6865')" + "# experiment_from_load = OpenAIChatExperiment.load_experiment(experiment._experiment_id)" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -561,120 +524,61 @@ " \n", " \n", " \n", - " model\n", - " messages\n", " temperature\n", - " top_p\n", - " n\n", - " stream\n", - " presence_penalty\n", - " frequency_penalty\n", + " messages\n", " response\n", - " response_id\n", - " response_object\n", - " response_created\n", - " response_model\n", - " response_choices\n", - " response_usage\n", " latency\n", - " revision_id\n", " \n", " \n", " \n", " \n", " 0\n", - " gpt-3.5-turbo\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " 0.0\n", - " 1.0\n", - " 1\n", - " False\n", - " 0.0\n", " 0.0\n", + " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " chatcmpl-88ccstwsKs3yan1ESPBTb5RgP40NF\n", - " chat.completion\n", - " 1697065794\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47}\n", - " 1.934486\n", - " 86bf8267-b648-45ff-b4bc-c82ef112f6ab\n", + " 1.105475\n", " \n", " \n", " 1\n", - " gpt-3.5-turbo\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " 1.0\n", " 1.0\n", - " 1\n", - " False\n", - " 0.0\n", - " 0.0\n", - " The first president of the United States was George Washington.\n", - " chatcmpl-88cct1W9crL65HnRz5uBkVa4Nk4L3\n", - " chat.completion\n", - " 1697065795\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}\n", - " 0.709772\n", - " 86bf8267-b648-45ff-b4bc-c82ef112f6ab\n", + " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", + " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", + " 1.025263\n", " \n", " \n", "\n", "" ], "text/plain": [ - " model \\\n", - "0 gpt-3.5-turbo \n", - "1 gpt-3.5-turbo \n", + " temperature \\\n", + "0 0.0 \n", + "1 1.0 \n", "\n", " messages \\\n", "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "\n", - " temperature top_p n stream presence_penalty frequency_penalty \\\n", - "0 0.0 1.0 1 False 0.0 0.0 \n", - "1 1.0 1.0 1 False 0.0 0.0 \n", - "\n", " response \\\n", "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. \n", + "1 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", "\n", - " response_id response_object response_created \\\n", - "0 chatcmpl-88ccstwsKs3yan1ESPBTb5RgP40NF chat.completion 1697065794 \n", - "1 chatcmpl-88cct1W9crL65HnRz5uBkVa4Nk4L3 chat.completion 1697065795 \n", - "\n", - " response_model \\\n", - "0 gpt-3.5-turbo-0613 \n", - "1 gpt-3.5-turbo-0613 \n", - "\n", - " response_choices \\\n", - "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", - "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}] \n", - "\n", - " response_usage \\\n", - "0 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", - "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", - "\n", - " latency revision_id \n", - "0 1.934486 86bf8267-b648-45ff-b4bc-c82ef112f6ab \n", - "1 0.709772 86bf8267-b648-45ff-b4bc-c82ef112f6ab " + " latency \n", + "0 1.105475 \n", + "1 1.025263 " ] }, - "execution_count": 16, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "experiment_from_load.full_df" + "experiment_from_load.full_df\n", + "experiment_from_load.visualize()" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -711,15 +615,15 @@ " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " 1.934486\n", + " 1.105475\n", " EVAL'ED The first\n", " \n", " \n", " 1\n", " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington.\n", - " 0.709772\n", + " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", + " 1.025263\n", " EVAL'ED The first\n", " \n", " \n", @@ -737,11 +641,11 @@ "\n", " response \\\n", "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. \n", + "1 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", "\n", " latency dumb_eval_metric \n", - "0 1.934486 EVAL'ED The first \n", - "1 0.709772 EVAL'ED The first " + "0 1.105475 EVAL'ED The first \n", + "1 1.025263 EVAL'ED The first " ] }, "metadata": {}, @@ -759,7 +663,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -787,6 +691,7 @@ " messages\n", " response\n", " latency\n", + " dumb_eval_metric\n", " \n", " \n", " \n", @@ -795,28 +700,32 @@ " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " 1.683780\n", + " 1.105475\n", + " EVAL'ED The first\n", " \n", " \n", " 1\n", " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " 0.991504\n", + " 1.025263\n", + " EVAL'ED The first\n", " \n", " \n", - " 2\n", + " 0\n", " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " 1.111189\n", + " 0.889007\n", + " NaN\n", " \n", " \n", - " 3\n", + " 1\n", " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington. He served as the nation's first president from 1789 to 1797.\n", - " 0.960242\n", + " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", + " 1.286091\n", + " NaN\n", " \n", " \n", "\n", @@ -826,26 +735,26 @@ " temperature \\\n", "0 0.0 \n", "1 1.0 \n", - "2 0.0 \n", - "3 1.0 \n", + "0 0.0 \n", + "1 1.0 \n", "\n", " messages \\\n", "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "2 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "3 The first president of the United States was George Washington. He served as the nation's first president from 1789 to 1797. \n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", "\n", - " latency \n", - "0 1.683780 \n", - "1 0.991504 \n", - "2 1.111189 \n", - "3 0.960242 " + " latency dumb_eval_metric \n", + "0 1.105475 EVAL'ED The first \n", + "1 1.025263 EVAL'ED The first \n", + "0 0.889007 NaN \n", + "1 1.286091 NaN " ] }, "metadata": {}, @@ -859,10 +768,263 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sending HTTP GET request...\n", + "Loaded experiment.\n" + ] + } + ], + "source": [ + "experiment_from_load_revision = OpenAIChatExperiment.load_revision(experiment._revision_id)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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\n", + "
" + ], + "text/plain": [ + " temperature \\\n", + "0 0.0 \n", + "1 1.0 \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "\n", + " latency \n", + "0 1.105475 \n", + "1 1.025263 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "experiment_from_load_revision.visualize()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating serialized state of experiment...\n", + "Sending HTTP POST request...\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "experiment_from_load_revision.save_experiment(\"TEST_SAVE_NAME3\")" + ] }, { "cell_type": "markdown", @@ -1296,16 +1458,16 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 13, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -1327,9 +1489,9 @@ "user_permission_collection = db[USER_PERMISSION_COLLECTION_NAME]\n", "\n", "\n", - "# experiments_collection.delete_many({})\n", - "# logs_collection.delete_many({})\n", - "# user_permission_collection.delete_many({})" + "experiments_collection.delete_many({})\n", + "logs_collection.delete_many({})\n", + "user_permission_collection.delete_many({})" ] }, { @@ -1449,23 +1611,6 @@ "print(response.status_code)" ] }, - { - "cell_type": "code", - "execution_count": 79, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'OPENAI_API_KEY': '', 'Authorization': 'Bearer f0c41ced96e754cc1bf8fdf87725d8f0', 'Content-Type': 'application/json'}\n" - ] - } - ], - "source": [ - "print(headers)" - ] - }, { "cell_type": "code", "execution_count": 24, @@ -1503,18 +1648,11 @@ }, { "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Response:\n", - "200\n" - ] - } - ], + "execution_count": null, + "metadata": { + "is_executing": true + }, + "outputs": [], "source": [ "import requests\n", "import json\n", diff --git a/prompttools/common.py b/prompttools/common.py new file mode 100644 index 00000000..b2f80d22 --- /dev/null +++ b/prompttools/common.py @@ -0,0 +1 @@ +HEGEL_BACKEND_URL = """http://127.0.0.1:5000""" diff --git a/prompttools/experiment/experiments/experiment.py b/prompttools/experiment/experiments/experiment.py index 9afa8c40..0530d627 100644 --- a/prompttools/experiment/experiments/experiment.py +++ b/prompttools/experiment/experiments/experiment.py @@ -48,11 +48,10 @@ class Experiment: def __init__(self): self.queue = RequestQueue() self.argument_combos: list[dict] = [] - self.full_df = None - self.partial_df = None - self.score_df = None + self.full_df, self.partial_df, self.score_df = None, None, None self.image_experiment = False self._experiment_id = None + self._revision_id = None try: if "SENTRY_OPT_OUT" not in os.environ: sentry_sdk.capture_message(f"Initializing {self.__class__.__name__}", "info") @@ -183,6 +182,8 @@ def run( self.prepare() if clear_previous_results: self.queue = RequestQueue() + self.full_df, self.partial_df, self.score_df = None, None, None + original_n_results = len(self.queue.get_results()) if self.queue else 0 for combo in self.argument_combos: for _ in range(runs): self.queue.enqueue( @@ -190,12 +191,14 @@ def run( # We need to filter out defaults that are invalid JSON from the request {k: v for k, v in combo.items() if (v is not None) and (v != float("inf"))}, ) - results = self.queue.get_results() - input_args = self.queue.get_input_args() - if len(results) == 0: + number_of_new_results = len(self.queue.get_results()) - original_n_results + if number_of_new_results == 0: logging.error("No results. Something went wrong.") raise PromptExperimentException - self._construct_result_dfs(input_args, results, self.queue.get_latencies()) + results = self.queue.get_results()[-number_of_new_results:] + input_args = self.queue.get_input_args()[-number_of_new_results:] + latencies = self.queue.get_latencies()[-number_of_new_results:] + self._construct_result_dfs(input_args, results, latencies) def _construct_result_dfs( self, @@ -253,12 +256,16 @@ def _construct_result_dfs( result_df = pd.concat([response_df, result_df], axis=1) # `score_df` contains computed metrics (e.g. latency, evaluation metrics) - self.score_df = pd.DataFrame({"latency": latencies}) + new_score_df = pd.DataFrame({"latency": latencies}) + self.score_df = new_score_df if self.score_df is None else pd.concat([self.score_df, new_score_df]) # `partial_df` contains some input arguments, extracted responses, and score - self.partial_df = pd.concat([dynamic_input_arg_df, response_df, self.score_df], axis=1) + new_partial_df = pd.concat([dynamic_input_arg_df, response_df, new_score_df], axis=1) + self.partial_df = new_partial_df if self.partial_df is None else pd.concat([self.partial_df, new_partial_df]) + # `full_df` contains all input arguments, responses, and score - self.full_df = pd.concat([input_arg_df, result_df, self.score_df], axis=1) + new_full_df = pd.concat([input_arg_df, result_df, new_score_df], axis=1) + self.full_df = new_full_df if self.full_df is None else pd.concat([self.full_df, new_full_df]) def get_table(self, get_all_cols: bool = False) -> pd.DataFrame: r""" @@ -273,6 +280,7 @@ def get_table(self, get_all_cols: bool = False) -> pd.DataFrame: input arguments (including frozen ones), full model response (not just the text response), and scores. """ if self.full_df is None: + print("Running first...") logging.info("Running first...") self.run() if get_all_cols: diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index 1bc5e3d0..245c5953 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -18,9 +18,7 @@ from .experiment import Experiment from .error import PromptExperimentException import pandas as pd - - -HEGEL_BACKEND_URL = """http://127.0.0.1:5000""" +from prompttools.common import HEGEL_BACKEND_URL class OpenAIChatExperiment(Experiment): @@ -94,6 +92,8 @@ class OpenAIChatExperiment(Experiment): "API_TYPE": "azure", "API_VERSION": "2023-05-15"`` """ + _experiment_type = "RawExperiment" + def __init__( self, model: List[str], @@ -178,38 +178,38 @@ def _get_model_names(self): def _get_prompts(self): return [self.prompt_keys[str(combo["messages"][-1]["content"])] for combo in self.argument_combos] - def _get_state(self, name: str): + def _get_state(self): + partial_col_names = self.partial_df.columns.tolist() + score_col_names = self.score_df.columns.tolist() state_params = { "prompt_keys": self.prompt_keys, "all_args": self.all_args, + "partial_col_names": partial_col_names, + "score_col_names": score_col_names, } - partial_col_names = self.partial_df.columns.tolist() - score_col_names = self.score_df.columns.tolist() state = ( - name, - self._experiment_id, - "OpenAIChat", # Experiment Type state_params, self.full_df, - partial_col_names, - score_col_names, ) - print("Creating serialized state of experiment...") - serialized_state = pickle.dumps(state) - return serialized_state + print("Creating state of experiment...") + return state def save_experiment(self, name: str): + if self.full_df is None: + raise RuntimeError("Cannot save empty experiment. Please run it first.") if os.environ["HEGELAI_API_KEY"] is None: raise PermissionError("Please set HEGELAI_API_KEY (e.g. os.environ['HEGELAI_API_KEY']).") - state = self._get_state(name) + state = self._get_state() url = f"{HEGEL_BACKEND_URL}/sdk/save" headers = { "Content-Type": "application/octet-stream", # Use a binary content type for pickled data "Authorization": os.environ["HEGELAI_API_KEY"], } print("Sending HTTP POST request...") - response = requests.post(url, data=state, headers=headers) + data = pickle.dumps((name, self._experiment_id, self._experiment_type, state)) + response = requests.post(url, data=data, headers=headers) self._experiment_id = response.json().get("experiment_id") + self._revision_id = response.json().get("revision_id") return response @classmethod @@ -224,9 +224,11 @@ def load_experiment(cls, experiment_id: str): } print("Sending HTTP GET request...") response = requests.get(url, headers=headers) - if response.status_code == 200: - state = pickle.loads(response.content) # Note that state should not have `name` included - return cls._load_state(state, experiment_id) + if response.status_code == 200: # Note that state should not have `name` included + new_experiment_id, revision_id, experiment_type_str, state = pickle.loads(response.content) + if new_experiment_id != experiment_id: + raise RuntimeError("Experiment ID mismatch between request and response.") + return cls._load_state(state, experiment_id, revision_id, experiment_type_str) else: print(f"Error: {response.status_code}, {response.text}") @@ -243,22 +245,20 @@ def load_revision(cls, revision_id: str): print("Sending HTTP GET request...") response = requests.get(url, headers=headers) if response.status_code == 200: - # Note: This is different from `load_experiment` - experiment_id, state = pickle.loads(response.content) - return cls._load_state(state, experiment_id) + experiment_id, new_revision_id, experiment_type_str, state = pickle.loads(response.content) + if new_revision_id != revision_id: + raise RuntimeError("Revision ID mismatch between request and response.") + return cls._load_state(state, experiment_id, revision_id, experiment_type_str) else: print(f"Error: {response.status_code}, {response.text}") @classmethod - def _load_state(cls, state, experiment_id: str): + def _load_state(cls, state, experiment_id: str, revision_id: str, experiment_type_str: str): ( state_params, full_df, - partial_col_names, - score_col_names, - experiment_type_str, ) = state - if experiment_type_str != "OpenAIChat": + if experiment_type_str != cls._experiment_type: raise RuntimeError( f"The Experiment Type you are trying to load is {experiment_type_str}," "which does not match the current class." @@ -269,9 +269,10 @@ def _load_state(cls, state, experiment_id: str): experiment.prompt_keys = prompt_keys experiment.all_args = all_args experiment.full_df = pd.DataFrame(full_df) - experiment.partial_df = experiment.full_df[partial_col_names].copy() - experiment.score_df = experiment.full_df[score_col_names].copy() + experiment.partial_df = experiment.full_df[state_params["partial_col_names"]].copy() + experiment.score_df = experiment.full_df[state_params["score_col_names"]].copy() experiment._experiment_id = experiment_id + experiment._revision_id = revision_id print("Loaded experiment.") return experiment diff --git a/prompttools/harness/__init__.py b/prompttools/harness/__init__.py index e904403f..f91a2b1e 100644 --- a/prompttools/harness/__init__.py +++ b/prompttools/harness/__init__.py @@ -8,6 +8,8 @@ from .harness import ExperimentationHarness from .chat_history_harness import ChatHistoryExperimentationHarness from .chat_model_comparison_harness import ChatModelComparisonHarness +from .chat_prompt_template_harness import ChatPromptTemplateExperimentationHarness +from .model_comparison_harness import ModelComparisonHarness from .multi_experiment_harness import MultiExperimentHarness from .prompt_template_harness import PromptTemplateExperimentationHarness from .rag_harness import RetrievalAugmentedGenerationExperimentationHarness @@ -17,7 +19,9 @@ __all__ = [ "ChatHistoryExperimentationHarness", "ChatModelComparisonHarness", + "ChatPromptTemplateExperimentationHarness", "ExperimentationHarness", + "ModelComparisonHarness", "MultiExperimentHarness", "PromptTemplateExperimentationHarness", "RetrievalAugmentedGenerationExperimentationHarness", diff --git a/prompttools/harness/chat_prompt_template_harness.py b/prompttools/harness/chat_prompt_template_harness.py new file mode 100644 index 00000000..6abec73c --- /dev/null +++ b/prompttools/harness/chat_prompt_template_harness.py @@ -0,0 +1,137 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + +from typing import Type +import jinja2 +import pandas as pd + +from .harness import ExperimentationHarness, Experiment +from typing import Optional +from copy import deepcopy + + +def _render_messages_openai_chat(message_template: list[dict], user_input: dict, environment): + rendered_message = deepcopy(message_template) + user_msg_template = environment.from_string(rendered_message[-1]["content"]) + rendered_message[-1]["content"] = user_msg_template.render(**user_input) + return rendered_message + + +class ChatPromptTemplateExperimentationHarness(ExperimentationHarness): + r""" + An experimentation harness used to test various prompt templates for chat models. + We use `jinja` templates, e.g. "Answer the following question: {{input}}". + + Args: + experiment (Type[Experiment]): The experiment constructor that you would like to execute within the harness + (e.g. ``prompttools.experiment.OpenAICompletionExperiment``) + model_name (str): The name of the model. + prompt_templates (List[str]): A list of prompt ``jinja``-styled templates. + user_inputs (List[Dict[str, str]]): A list of dictionaries representing user inputs. + model_arguments (Optional[Dict[str, object]], optional): Additional arguments for the model. + Defaults to ``None``. Note that the values are not lists. + """ + + _experiment_type = "Template" + PIVOT_COLUMNS = ["prompt_template", "user_input"] + + def __init__( + self, + experiment: Type[Experiment], + model_name: str, + message_templates: list[list[dict]], + user_inputs: list[dict[str, str]], + model_arguments: Optional[dict[str, object]] = None, + ): + self.environment = jinja2.Environment() + self.experiment_cls_constructor = experiment + self.model_name = model_name + self.message_templates = message_templates + self.user_inputs = user_inputs + self.model_arguments = {} if model_arguments is None else model_arguments + super().__init__() + + def prepare(self) -> None: + r""" + Creates prompts from templates to use for the experiment, and then initializes and prepares the experiment. + """ + # self.input_pairs_dict = {} + rendered_messages = [] + for mt in self.message_templates: + for user_input in self.user_inputs: + rendered_messages.append(_render_messages_openai_chat(mt, user_input, self.environment)) + self.experiment = self.experiment_cls_constructor( + [self.model_name], + rendered_messages, + **self._prepare_arguments(self.model_arguments), + ) + super().prepare() + + def run(self): + if not self.experiment: + self.prepare() + super().run() + + # Add user inputs to DataFrame + if len(self.experiment.full_df) > 0: + repeat = len(self.experiment.full_df) // len(self.user_inputs) + user_inputs = deepcopy(self.user_inputs) + user_inputs_col_name = "user_inputs" + user_input_df = pd.DataFrame({user_inputs_col_name: user_inputs * repeat}) + + if user_inputs_col_name in self.experiment.full_df.columns: + self.experiment.full_df = self.experiment.full_df.drop(user_inputs_col_name, axis=1) + self.experiment.full_df.reset_index(drop=True, inplace=True) + + self.experiment.full_df = pd.concat([user_input_df, self.experiment.full_df], axis=1) + if user_inputs_col_name in self.experiment.partial_df.columns: + self.experiment.partial_df = self.experiment.partial_df.drop(user_inputs_col_name, axis=1) + self.experiment.partial_df.reset_index(drop=True, inplace=True) + self.experiment.partial_df = pd.concat([user_input_df, self.experiment.partial_df], axis=1) + + def _get_state(self): + state_params = { + "experiment_cls_constructor": self.experiment_cls_constructor, + "model_name": self.model_name, + "message_templates": self.message_templates, + "user_inputs": self.user_inputs, + "model_arguments": self.model_arguments, + "child_experiment_state": self.experiment._get_state() if self.experiment else None, + } + state = ( + state_params, + self.experiment.full_df, + ) + print("Creating state of experiment...") + return state + + @classmethod + def _load_state(cls, state, experiment_id: str, revision_id: str, experiment_type_str: str): + ( + state_params, + full_df, + ) = state + if experiment_type_str != cls._experiment_type: + raise RuntimeError( + f"The Experiment Type you are trying to load is {experiment_type_str}," + "which does not match the current class." + ) + + experiment_cls_constructor = state_params["experiment_cls_constructor"] + model_name = state_params["model_name"] + message_templates = state_params["message_templates"] + user_inputs = state_params["user_inputs"] + model_arguments = state_params["model_arguments"] + child_experiment_state = state_params["child_experiment_state"] + + harness = cls(experiment_cls_constructor, model_name, message_templates, user_inputs, model_arguments) + harness.experiment = experiment_cls_constructor._load_state( + child_experiment_state, None, None, experiment_cls_constructor._experiment_type + ) + harness._experiment_id = experiment_id + harness._revision_id = revision_id + print("Loaded harness.") + return harness diff --git a/prompttools/harness/harness.py b/prompttools/harness/harness.py index 6df653b9..425fdfea 100644 --- a/prompttools/harness/harness.py +++ b/prompttools/harness/harness.py @@ -4,10 +4,16 @@ # This source code's license can be found in the # LICENSE file in the root directory of this source tree. -from typing import Callable, Dict, List +from typing import Callable from prompttools.experiment import Experiment +from prompttools.common import HEGEL_BACKEND_URL +import os +import pickle +import requests + + class ExperimentationHarness: r""" Base class for experimentation harnesses. This should not be used directly, please use the subclasses instead. @@ -20,9 +26,11 @@ def __init__(self) -> None: self.input_pairs_dict = None self.experiment = None self.runs = 1 + self._experiment_id = None + self._revision_id = None @staticmethod - def _prepare_arguments(arguments: Dict[str, object]) -> Dict[str, List[object]]: + def _prepare_arguments(arguments: dict[str, object]) -> dict[str, list[object]]: return {name: [arg] for name, arg in arguments.items()} def prepare(self) -> None: @@ -55,9 +63,86 @@ def visualize(self, pivot: bool = False) -> None: else: self.experiment.visualize() - def rank(self, metric_name: str, is_average: bool = False) -> Dict[str, float]: + def rank(self, metric_name: str, is_average: bool = False) -> dict[str, float]: r""" Scores and ranks the experiment inputs using the pivot columns, e.g. prompt templates or system prompts. """ return self.experiment.rank(self.input_pairs_dict, self.PIVOT_COLUMNS, metric_name, is_average) + + @property + def full_df(self): + return self.experiment.full_df + + @property + def partial_df(self): + return self.experiment.partial_df + + @property + def score_df(self): + return self.experiment.score_df + + def _get_state(self): + raise NotImplementedError("Should be implemented by specific harness class.") + + @classmethod + def _load_state(cls, state, experiment_id: str, revision_id: str, experiment_type_str: str): + raise NotImplementedError("Should be implemented by specific harness class.") + + def save_experiment(self, name: str): + if self.full_df is None: + raise RuntimeError("Cannot save empty experiment. Please run it first.") + if os.environ["HEGELAI_API_KEY"] is None: + raise PermissionError("Please set HEGELAI_API_KEY (e.g. os.environ['HEGELAI_API_KEY']).") + state = self._get_state() + url = f"{HEGEL_BACKEND_URL}/sdk/save" + headers = { + "Content-Type": "application/octet-stream", # Use a binary content type for pickled data + "Authorization": os.environ["HEGELAI_API_KEY"], + } + print("Sending HTTP POST request...") + data = pickle.dumps((name, self._experiment_id, self._experiment_type, state)) + response = requests.post(url, data=data, headers=headers) + self._experiment_id = response.json().get("experiment_id") + self._revision_id = response.json().get("revision_id") + return response + + @classmethod + def load_experiment(cls, experiment_id: str): + if os.environ["HEGELAI_API_KEY"] is None: + raise PermissionError("Please set HEGELAI_API_KEY (e.g. os.environ['HEGELAI_API_KEY']).") + + url = f"{HEGEL_BACKEND_URL}/sdk/get/experiment/{experiment_id}" + headers = { + "Content-Type": "application/octet-stream", # Use a binary content type for pickled data + "Authorization": os.environ["HEGELAI_API_KEY"], + } + print("Sending HTTP GET request...") + response = requests.get(url, headers=headers) + if response.status_code == 200: # Note that state should not have `name` included + new_experiment_id, revision_id, experiment_type_str, state = pickle.loads(response.content) + if new_experiment_id != experiment_id: + raise RuntimeError("Experiment ID mismatch between request and response.") + return cls._load_state(state, experiment_id, revision_id, experiment_type_str) + else: + print(f"Error: {response.status_code}, {response.text}") + + @classmethod + def load_revision(cls, revision_id: str): + if os.environ["HEGELAI_API_KEY"] is None: + raise PermissionError("Please set HEGELAI_API_KEY (e.g. os.environ['HEGELAI_API_KEY']).") + + url = f"{HEGEL_BACKEND_URL}/sdk/get/revision/{revision_id}" + headers = { + "Content-Type": "application/octet-stream", # Use a binary content type for pickled data + "Authorization": os.environ["HEGELAI_API_KEY"], + } + print("Sending HTTP GET request...") + response = requests.get(url, headers=headers) + if response.status_code == 200: + experiment_id, new_revision_id, experiment_type_str, state = pickle.loads(response.content) + if new_revision_id != revision_id: + raise RuntimeError("Revision ID mismatch between request and response.") + return cls._load_state(state, experiment_id, revision_id, experiment_type_str) + else: + print(f"Error: {response.status_code}, {response.text}") diff --git a/prompttools/harness/model_comparison_harness.py b/prompttools/harness/model_comparison_harness.py new file mode 100644 index 00000000..577fe9c0 --- /dev/null +++ b/prompttools/harness/model_comparison_harness.py @@ -0,0 +1,183 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + +from typing import Dict, List, Optional, Callable + +import pandas as pd + +from .harness import ExperimentationHarness +from prompttools.experiment import OpenAIChatExperiment +from .utility import is_interactive +from IPython import display +from tabulate import tabulate +import logging + + +class ModelComparisonHarness(ExperimentationHarness): + r""" + An experimentation harness used for comparing models. + + Args: + model_names (List[str]): The names of the models that you would like to compare + system_prompts (List[str]): A list of system messages, one for each model. + model_arguments (List[Optional[Dict]]): A list of model arguments, one for each model. + user_messages (List[str]) User messages that will be tested across models. Defaults to ``[]``. + runs (int): Number of runs to execute. Defaults to ``1``. + """ + + _experiment_type = "Comparison" + PIVOT_COLUMNS = ["model", "messages"] + + def __init__( + self, + model_names: List[str], + system_prompts: List[str], + user_messages: List[str], + model_arguments: List[Optional[dict]] = [], + runs: int = 1, + ): + self.model_names = model_names + self.system_prompts = system_prompts + self.model_arguments = model_arguments + self.user_messages = user_messages + self.runs = runs + self.experiments = [] + + if len(model_names) != len(system_prompts): + raise RuntimeError( + "The number of models must match the number of system messages, because each" + "system prompt correspond to one model." + ) + if model_arguments != [] and len(model_arguments) != len(model_names): + raise RuntimeError( + "The number of models must match the number of model argument dictionaries," + "because each dictionary of arguments correspond to one model." + ) + super().__init__() + + def prepare(self) -> None: + """ + Initializes and prepares the experiment. + """ + self.experiments = [] + for i, model in enumerate(self.model_names): + system_prompt = self.system_prompts[i] + model_args = {} if self.model_arguments == [] else self.model_arguments[i] + messages = [] + for message in self.user_messages: + messages.append( + [ + self._create_system_prompt(system_prompt), + self._create_human_message(message), + ] + ) + + experiment = OpenAIChatExperiment( + [model], + messages, + **self._prepare_arguments(model_args), + ) + self.experiments.append(experiment) + + @staticmethod + def _create_system_prompt(content: str) -> Dict[str, str]: + return {"role": "system", "content": content} + + @staticmethod + def _create_human_message(content: str) -> Dict[str, str]: + return {"role": "user", "content": content} + + @property + def full_df(self): + return self._full_df + + @property + def partial_df(self): + return self._partial_df + + @property + def score_df(self): + return self._score_df + + def run(self): + if not self.experiments: + self.prepare() + for exp in self.experiments: + exp.run() + self._update_dfs() + + def evaluate(self, metric_name: str, eval_fn: Callable, static_eval_fn_kwargs: dict = {}, **eval_fn_kwargs) -> None: + r""" + Uses the given eval_fn to evaluate the results of the underlying experiment. + """ + if not self.experiments: + raise RuntimeError("Cannot evaluate experiment without running first.") + for exp in self.experiments: + exp.evaluate(metric_name, eval_fn, static_eval_fn_kwargs, **eval_fn_kwargs) + self._update_dfs() + + def get_table(self, get_all_cols: bool = False) -> pd.DataFrame: + if get_all_cols: + return self.full_df + else: + return self.partial_df + + def _update_dfs(self): + self._full_df = pd.concat([exp.full_df for exp in self.experiments], axis=0, ignore_index=True) + self._partial_df = pd.concat([exp.partial_df for exp in self.experiments], axis=0, ignore_index=True) + self._score_df = pd.concat([exp.score_df for exp in self.experiments], axis=0, ignore_index=True) + + def visualize(self, get_all_cols: bool = False): + table = self.get_table(get_all_cols) + if is_interactive(): + display.display(table) + else: + logging.getLogger().setLevel(logging.INFO) + logging.info(tabulate(table, headers="keys", tablefmt="psql")) + + def _get_state(self): + state_params = { + "model_names": self.model_names, + "system_prompts": self.system_prompts, + "user_messages": self.user_messages, + "model_arguments": self.model_arguments, + "child_experiment_states": [exp._get_state() for exp in self.experiments] if self.experiments else [], + } + state = ( + state_params, + self.full_df, + ) + print("Creating state of experiment...") + return state + + @classmethod + def _load_state(cls, state, experiment_id: str, revision_id: str, experiment_type_str: str): + ( + state_params, + full_df, + ) = state + if experiment_type_str != cls._experiment_type: + raise RuntimeError( + f"The Experiment Type you are trying to load is {experiment_type_str}," + "which does not match the current class." + ) + + model_names = state_params["model_names"] + system_prompts = state_params["system_prompts"] + user_messages = state_params["user_messages"] + model_arguments = state_params["model_arguments"] + child_experiment_states = state_params["child_experiment_states"] + + harness = cls(model_names, system_prompts, user_messages, model_arguments) + harness.experiments = [ + OpenAIChatExperiment._load_state(state, None, None, OpenAIChatExperiment._experiment_type) + for state in child_experiment_states + ] + harness._update_dfs() + harness._experiment_id = experiment_id + harness._revision_id = revision_id + print("Loaded harness.") + return harness diff --git a/prompttools/harness/system_prompt_harness.py b/prompttools/harness/system_prompt_harness.py index 635b4ed4..1f356880 100644 --- a/prompttools/harness/system_prompt_harness.py +++ b/prompttools/harness/system_prompt_harness.py @@ -19,9 +19,10 @@ class SystemPromptExperimentationHarness(ExperimentationHarness): system_prompts (List[str]): A list of system prompts for the model human_messages (List[str]): A list of human (user) messages to pass into the model model_arguments (Optional[Dict[str, object]], optional): Additional arguments for the model. - Defaults to ``None``. + Defaults to ``None``. Note that the values are not lists. """ + _experiment_type = "Instruction" PIVOT_COLUMNS = ["system_prompt", "user_input"] def __init__( @@ -32,7 +33,7 @@ def __init__( human_messages: List[str], model_arguments: Optional[Dict[str, object]] = None, ): - self.experiment_cls_constructor = (experiment,) + self.experiment_cls_constructor = experiment self.model_name = model_name self.system_prompts = system_prompts self.human_messages = human_messages @@ -72,3 +73,47 @@ def run(self): if not self.experiment: self.prepare() super().run() + + def _get_state(self): + state_params = { + "experiment_cls_constructor": self.experiment_cls_constructor, + "model_name": self.model_name, + "system_prompts": self.system_prompts, + "human_messages": self.human_messages, + "model_arguments": self.model_arguments, + "child_experiment_state": self.experiment._get_state() if self.experiment else None, + } + state = ( + state_params, + self.experiment.full_df, + ) + print("Creating state of experiment...") + return state + + @classmethod + def _load_state(cls, state, experiment_id: str, revision_id: str, experiment_type_str: str): + ( + state_params, + full_df, + ) = state + if experiment_type_str != cls._experiment_type: + raise RuntimeError( + f"The Experiment Type you are trying to load is {experiment_type_str}," + "which does not match the current class." + ) + + experiment_cls_constructor = state_params["experiment_cls_constructor"] + model_name = state_params["model_name"] + system_prompts = state_params["system_prompts"] + human_messages = state_params["human_messages"] + model_arguments = state_params["model_arguments"] + child_experiment_state = state_params["child_experiment_state"] + + harness = cls(experiment_cls_constructor, model_name, system_prompts, human_messages, model_arguments) + harness.experiment = experiment_cls_constructor._load_state( + child_experiment_state, None, None, experiment_cls_constructor._experiment_type + ) + harness._experiment_id = experiment_id + harness._revision_id = revision_id + print("Loaded harness.") + return harness diff --git a/prompttools/harness/utility.py b/prompttools/harness/utility.py new file mode 100644 index 00000000..6d9a95a9 --- /dev/null +++ b/prompttools/harness/utility.py @@ -0,0 +1,15 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + + +def is_interactive() -> bool: + r""" + Used to determine if we are in a jupyter notebook, which + determines how we present the visualizations. + """ + import __main__ as main + + return not hasattr(main, "__file__") From 817725a2c6740c74c775fb222b6cef2c49b35293 Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 30 Oct 2023 13:15:51 -0400 Subject: [PATCH 096/182] Minor remote examples clean up --- ...Loading_ExperimentHarness_to_Remote.ipynb} | 38 +++++++------------ ...ng_and_Loading_Experiment_to_Remote.ipynb} | 0 2 files changed, 14 insertions(+), 24 deletions(-) rename examples/notebooks/remote/{Test_Remote_Harness.ipynb => Saving_and_Loading_ExperimentHarness_to_Remote.ipynb} (99%) rename examples/notebooks/remote/{Test_Remote_OpenAIChat.ipynb => Saving_and_Loading_Experiment_to_Remote.ipynb} (100%) diff --git a/examples/notebooks/remote/Test_Remote_Harness.ipynb b/examples/notebooks/remote/Saving_and_Loading_ExperimentHarness_to_Remote.ipynb similarity index 99% rename from examples/notebooks/remote/Test_Remote_Harness.ipynb rename to examples/notebooks/remote/Saving_and_Loading_ExperimentHarness_to_Remote.ipynb index 0d8a6498..3a18bd09 100644 --- a/examples/notebooks/remote/Test_Remote_Harness.ipynb +++ b/examples/notebooks/remote/Saving_and_Loading_ExperimentHarness_to_Remote.ipynb @@ -21,7 +21,7 @@ "id": "38786a7d", "metadata": {}, "source": [ - "## Prompt Template" + "## Prompt Template Harness" ] }, { @@ -52,26 +52,6 @@ " model_arguments=None)" ] }, - { - "cell_type": "code", - "execution_count": 3, - "id": "e6b84646", - "metadata": {}, - "outputs": [], - "source": [ - "harness.prepare()" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "cc6cc3ea", - "metadata": {}, - "outputs": [], - "source": [ - "harness.run()" - ] - }, { "cell_type": "code", "execution_count": 5, @@ -169,6 +149,8 @@ } ], "source": [ + "harness.prepare()\n", + "harness.run()\n", "harness.visualize()" ] }, @@ -199,7 +181,7 @@ } ], "source": [ - "harness.save_experiment(\"HARNESS\")" + "harness.save_experiment(\"HistoryExam\")" ] }, { @@ -1093,7 +1075,7 @@ "id": "2ebbc052", "metadata": {}, "source": [ - "## System Prompt" + "## System Prompt Harness" ] }, { @@ -1688,7 +1670,15 @@ } ], "source": [ - "harness.save_experiment(\"Comparison HARNESS\")" + "harness.save_experiment(\"HistoryModelComparison\")" + ] + }, + { + "cell_type": "markdown", + "id": "c16ef295", + "metadata": {}, + "source": [ + "### Load from Remote" ] }, { diff --git a/examples/notebooks/remote/Test_Remote_OpenAIChat.ipynb b/examples/notebooks/remote/Saving_and_Loading_Experiment_to_Remote.ipynb similarity index 100% rename from examples/notebooks/remote/Test_Remote_OpenAIChat.ipynb rename to examples/notebooks/remote/Saving_and_Loading_Experiment_to_Remote.ipynb From 9611dae59304894f902e33693cf638c66acc2b48 Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 31 Oct 2023 00:37:36 -0400 Subject: [PATCH 097/182] Point backend URL based on environment variable --- prompttools/common.py | 26 +++++++++++++++++++++++++- prompttools/sentry.py | 7 +++++++ 2 files changed, 32 insertions(+), 1 deletion(-) diff --git a/prompttools/common.py b/prompttools/common.py index b2f80d22..2314c301 100644 --- a/prompttools/common.py +++ b/prompttools/common.py @@ -1 +1,25 @@ -HEGEL_BACKEND_URL = """http://127.0.0.1:5000""" +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + + +import os +from os.path import join, dirname + +try: + from dotenv import load_dotenv +except ImportError: + load_dotenv = None + +if load_dotenv is not None: + dotenv_path = join(dirname(dirname(__file__)), ".env") + load_dotenv(dotenv_path) + + +ENV = os.environ.get("ENV", "prod") +if ENV == "development": + HEGEL_BACKEND_URL = """http://127.0.0.1:5000""" +else: + HEGEL_BACKEND_URL = """https://api.hegel-ai.com""" diff --git a/prompttools/sentry.py b/prompttools/sentry.py index 5b8a9107..18abbd36 100644 --- a/prompttools/sentry.py +++ b/prompttools/sentry.py @@ -1,3 +1,10 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + + # Sentry collects crash reports and performance numbers # It is possible to turn off data collection using an environment variable named "SENTRY_OPT_OUT" import sentry_sdk From c60d32e26e681688ab93332e6dad66a8ca73014e Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 31 Oct 2023 00:37:43 -0400 Subject: [PATCH 098/182] Add .env.example --- .env.example | 4 ++++ 1 file changed, 4 insertions(+) create mode 100644 .env.example diff --git a/.env.example b/.env.example new file mode 100644 index 00000000..b937d0a7 --- /dev/null +++ b/.env.example @@ -0,0 +1,4 @@ +# To access remote service, make a copy of this file and save it as `.env` in the same directory +# Then, paste your Hegel API key below between the quotation marks. +ENV="prod" +HEGELAI_API_KEY="" From 5a102abff7ebc6da5f509d1fa8f93eac89354cf2 Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 31 Oct 2023 00:40:04 -0400 Subject: [PATCH 099/182] Adding _get_state, _load_state to Experiment class --- prompttools/experiment/experiments/experiment.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/prompttools/experiment/experiments/experiment.py b/prompttools/experiment/experiments/experiment.py index 7e7393f6..41ee2d5f 100644 --- a/prompttools/experiment/experiments/experiment.py +++ b/prompttools/experiment/experiments/experiment.py @@ -641,3 +641,10 @@ def _get_model_names(self): def _get_prompts(self): pass + + def _get_state(self): + raise NotImplementedError("Should be implemented by specific harness class.") + + @classmethod + def _load_state(cls, state, experiment_id: str, revision_id: str, experiment_type_str: str): + raise NotImplementedError("Should be implemented by specific harness class.") From 5e8975d54d1f9ce6d19f8190000d17ee75ed418d Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 31 Oct 2023 14:26:59 -0400 Subject: [PATCH 100/182] Fix OpenAIChatExperiment example --- examples/notebooks/OpenAIChatExperiment.ipynb | 277 ++++-------------- 1 file changed, 62 insertions(+), 215 deletions(-) diff --git a/examples/notebooks/OpenAIChatExperiment.ipynb b/examples/notebooks/OpenAIChatExperiment.ipynb index cf6ab6b5..a0be2541 100644 --- a/examples/notebooks/OpenAIChatExperiment.ipynb +++ b/examples/notebooks/OpenAIChatExperiment.ipynb @@ -169,7 +169,7 @@ " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " George Washington\n", - " 2.917135e-06\n", + " 2.625049e-06\n", " \n", " \n", " 1\n", @@ -177,7 +177,7 @@ " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " George Washington\n", - " 1.291977e-06\n", + " 1.000008e-06\n", " \n", " \n", " 2\n", @@ -185,7 +185,7 @@ " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " George Washington\n", - " 8.328352e-07\n", + " 7.500057e-07\n", " \n", " \n", " 3\n", @@ -193,7 +193,7 @@ " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " George Washington\n", - " 7.499475e-07\n", + " 6.670016e-07\n", " \n", " \n", "\n", @@ -213,10 +213,10 @@ "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "\n", " response latency \n", - "0 George Washington 2.917135e-06 \n", - "1 George Washington 1.291977e-06 \n", - "2 George Washington 8.328352e-07 \n", - "3 George Washington 7.499475e-07 " + "0 George Washington 2.625049e-06 \n", + "1 George Washington 1.000008e-06 \n", + "2 George Washington 7.500057e-07 \n", + "3 George Washington 6.670016e-07 " ] }, "metadata": {}, @@ -224,204 +224,40 @@ } ], "source": [ - "experiment.visualize_table()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "4bb6b6d4", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/torch/utils/tensorboard/__init__.py:4: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", - " if not hasattr(tensorboard, \"__version__\") or LooseVersion(\n", - "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/torch/utils/tensorboard/__init__.py:6: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", - " ) < LooseVersion(\"1.15\"):\n", - "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/tensorflow/python/debug/cli/debugger_cli_common.py:19: DeprecationWarning: module 'sre_constants' is deprecated\n", - " import sre_constants\n" - ] - } - ], - "source": [ - "from prompttools.utils import similarity\n", - "\n", - "experiment.evaluate_by_row(\"similar_to_expected\", similarity.semantic_similarity_row, expected=[\"George Washington\"] * 4)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "07d4bd2a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " model temperature \\\n", - "0 gpt-3.5-turbo 0.0 \n", - "1 gpt-3.5-turbo 1.0 \n", - "2 gpt-3.5-turbo-0613 0.0 \n", - "3 gpt-3.5-turbo-0613 1.0 \n", - "\n", - " messages \\\n", - "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "\n", - " response latency similar_to_expected \n", - "0 George Washington 2.917135e-06 1.0 \n", - "1 George Washington 1.291977e-06 1.0 \n", - "2 George Washington 8.328352e-07 1.0 \n", - "3 George Washington 7.499475e-07 1.0 " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "experiment.visualize_table()" + "experiment.visualize()" ] }, { - "cell_type": "code", - "execution_count": 10, - "id": "a508b623", + "cell_type": "markdown", + "id": "266c13eb", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], "source": [ - "experiment.aggregate_by_row(metric_name=\"latency\", column_name=\"model\")" + "## Evaluate the model response" ] }, { - "cell_type": "code", - "execution_count": null, - "id": "bde10f4b", + "cell_type": "markdown", + "id": "bebb8023", "metadata": {}, - "outputs": [], "source": [ - "experiment.aggregate(metric_name=\"latency\", column_name=\"model\")" + "To evaluate the results, we'll define an eval function. We can use semantic distance to check if the model's response is similar to our expected output.\n", + "\n", + "Since we are using semantic similarity, you need to have the library `sentence_transformers` installed." ] }, { "cell_type": "code", "execution_count": null, - "id": "ae154478", + "id": "d861ab10", "metadata": {}, "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "40f611d4", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "266c13eb", - "metadata": {}, - "source": [ - "## Evaluate the model response" - ] - }, - { - "cell_type": "markdown", - "id": "bebb8023", - "metadata": {}, "source": [ - "To evaluate the results, we'll define an eval function. We can use semantic distance to check if the model's response is similar to our expected output." + "# !pip install --quiet sentence_transformers" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 7, "id": "8ddbb951", "metadata": {}, "outputs": [], @@ -431,14 +267,25 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 8, "id": "e80dfeec", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/torch/utils/tensorboard/__init__.py:4: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", + " if not hasattr(tensorboard, \"__version__\") or LooseVersion(\n", + "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/torch/utils/tensorboard/__init__.py:6: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", + " ) < LooseVersion(\"1.15\"):\n" + ] + } + ], "source": [ - "experiment.evaluate(\"similar_to_expected\", similarity.evaluate, expected=[\"George Washington\"] * 4)" + "experiment.evaluate(\"similar_to_expected\", similarity.semantic_similarity, expected=[\"George Washington\"] * 4)" ] }, { @@ -451,7 +298,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 9, "id": "4d09c18e", "metadata": { "scrolled": true @@ -478,49 +325,49 @@ " \n", " \n", " \n", + " model\n", + " temperature\n", " messages\n", " response\n", " latency\n", " similar_to_expected\n", - " model\n", - " temperature\n", " \n", " \n", " \n", " \n", " 0\n", + " gpt-3.5-turbo\n", + " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " George Washington\n", - " 0.000007\n", + " 2.625049e-06\n", " 1.0\n", - " gpt-3.5-turbo\n", - " 0.0\n", " \n", " \n", " 1\n", + " gpt-3.5-turbo\n", + " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " George Washington\n", - " 0.000004\n", - " 1.0\n", - " gpt-3.5-turbo\n", + " 1.000008e-06\n", " 1.0\n", " \n", " \n", " 2\n", + " gpt-3.5-turbo-0613\n", + " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " George Washington\n", - " 0.000003\n", + " 7.500057e-07\n", " 1.0\n", - " gpt-3.5-turbo-0613\n", - " 0.0\n", " \n", " \n", " 3\n", + " gpt-3.5-turbo-0613\n", + " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " George Washington\n", - " 0.000002\n", - " 1.0\n", - " gpt-3.5-turbo-0613\n", + " 6.670016e-07\n", " 1.0\n", " \n", " \n", @@ -528,23 +375,23 @@ "" ], "text/plain": [ + " model temperature \\\n", + "0 gpt-3.5-turbo 0.0 \n", + "1 gpt-3.5-turbo 1.0 \n", + "2 gpt-3.5-turbo-0613 0.0 \n", + "3 gpt-3.5-turbo-0613 1.0 \n", + "\n", " messages \\\n", "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "\n", - " response latency similar_to_expected model \\\n", - "0 George Washington 0.000007 1.0 gpt-3.5-turbo \n", - "1 George Washington 0.000004 1.0 gpt-3.5-turbo \n", - "2 George Washington 0.000003 1.0 gpt-3.5-turbo-0613 \n", - "3 George Washington 0.000002 1.0 gpt-3.5-turbo-0613 \n", - "\n", - " temperature \n", - "0 0.0 \n", - "1 1.0 \n", - "2 0.0 \n", - "3 1.0 " + " response latency similar_to_expected \n", + "0 George Washington 2.625049e-06 1.0 \n", + "1 George Washington 1.000008e-06 1.0 \n", + "2 George Washington 7.500057e-07 1.0 \n", + "3 George Washington 6.670016e-07 1.0 " ] }, "metadata": {}, @@ -557,13 +404,13 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "id": "d0007a1f", "metadata": {}, "outputs": [ { "data": { - "image/png": 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" ] From 6293dc74a93dfa9dc5435a5325e9a43701278bbd Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 31 Oct 2023 14:45:46 -0400 Subject: [PATCH 101/182] Adding remote to OpenAIChat example --- examples/notebooks/OpenAIChatExperiment.ipynb | 52 +++++++++++++++++++ 1 file changed, 52 insertions(+) diff --git a/examples/notebooks/OpenAIChatExperiment.ipynb b/examples/notebooks/OpenAIChatExperiment.ipynb index a0be2541..654a8e59 100644 --- a/examples/notebooks/OpenAIChatExperiment.ipynb +++ b/examples/notebooks/OpenAIChatExperiment.ipynb @@ -402,6 +402,58 @@ "experiment.visualize()" ] }, + { + "cell_type": "markdown", + "id": "b6802b34", + "metadata": {}, + "source": [ + "## Saving to Remote" + ] + }, + { + "cell_type": "markdown", + "id": "fb74a9a2", + "metadata": {}, + "source": [ + "For users interested to manage their experiments in a hosted environment. We provide APIs to securely store your experiments in our backend, from which you can load experiments for re-run or share with your team. \n", + "\n", + "If you are interested in our hosted solution, please reach out to us." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d30cd8ad", + "metadata": {}, + "outputs": [], + "source": [ + "os.environ[\"HEGELAI_API_KEY\"] = \"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c084bb43", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "19269a04", + "metadata": {}, + "source": [ + "## Aggregate Results" + ] + }, + { + "cell_type": "markdown", + "id": "e5626394", + "metadata": {}, + "source": [ + "You can optional " + ] + }, { "cell_type": "code", "execution_count": 10, From 29218170bfa8c157ac1d6c261d6c2ba43b3cbca7 Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 31 Oct 2023 14:45:57 -0400 Subject: [PATCH 102/182] Updating full remote example --- ...ing_and_Loading_Experiment_to_Remote.ipynb | 1567 +---------------- 1 file changed, 77 insertions(+), 1490 deletions(-) diff --git a/examples/notebooks/remote/Saving_and_Loading_Experiment_to_Remote.ipynb b/examples/notebooks/remote/Saving_and_Loading_Experiment_to_Remote.ipynb index 93de0741..1824d2fd 100644 --- a/examples/notebooks/remote/Saving_and_Loading_Experiment_to_Remote.ipynb +++ b/examples/notebooks/remote/Saving_and_Loading_Experiment_to_Remote.ipynb @@ -118,296 +118,6 @@ "experiment.visualize()" ] }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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3gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]0.51.01False0.00.0The first president of the United States was George Washington. He served from 1789 to 1797.chatcmpl-8Afp6Wd6CcF26ThPBjNFhCLhN6VGachat.completion1697554740gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served from 1789 to 1797.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 22, 'total_tokens': 45}1.061821
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He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington, serving from 1789 to 1797. \n", - "2 The second president of the United States was John Adams. \n", - "3 The first president of the United States was George Washington. He served from 1789 to 1797. \n", - "\n", - " response_id response_object response_created \\\n", - "0 chatcmpl-8Afogt6JppN4gZhIDHLlj4dVDdBox chat.completion 1697554714 \n", - "1 chatcmpl-8AfohOODBjWwdX27uNEnRQ2RSTU9c chat.completion 1697554715 \n", - "2 chatcmpl-8AfoltjNBsasogjnwHm1OcefEZxd2 chat.completion 1697554719 \n", - "3 chatcmpl-8Afp6Wd6CcF26ThPBjNFhCLhN6VGa chat.completion 1697554740 \n", - "\n", - " response_model \\\n", - "0 gpt-3.5-turbo-0613 \n", - "1 gpt-3.5-turbo-0613 \n", - "2 gpt-3.5-turbo-0613 \n", - "3 gpt-3.5-turbo-0613 \n", - "\n", - " response_choices \\\n", - "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", - "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington, serving from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", - "2 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second president of the United States was John Adams.'}, 'finish_reason': 'stop'}] \n", - "3 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", - "\n", - " response_usage \\\n", - "0 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", - "1 {'prompt_tokens': 23, 'completion_tokens': 21, 'total_tokens': 44} \n", - "2 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", - "3 {'prompt_tokens': 23, 'completion_tokens': 22, 'total_tokens': 45} \n", - "\n", - " latency \n", - "0 1.337838 \n", - "1 1.224729 \n", - "2 3.326496 \n", - "3 1.061821 " - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "experiment.run_partial(temperature=0.5)\n", - "experiment.full_df" - ] - }, { "cell_type": "code", "execution_count": 4, @@ -429,6 +139,17 @@ "print(res)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can examine the `experiment_id` and `revision_id` after you save. You can use these information to load the experiment back at a later time. You can also see the results in the UI:\n", + "\n", + "https://app.hegel-ai.com/experiments\n", + "\n", + "https://app.hegel-ai.com/logs" + ] + }, { "cell_type": "code", "execution_count": 5, @@ -448,17 +169,6 @@ "print(experiment._revision_id)" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "See results:\n", - "\n", - "http://127.0.0.1:5000/experiment/\n", - "\n", - "http://127.0.0.1:5000/experiment/logs" - ] - }, { "cell_type": "code", "execution_count": null, @@ -477,7 +187,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Grab uuid from http://127.0.0.1:5000/experiment/" + "You can get there `experiment_id` from https://app.hegel-ai.com/experiments\n", + "\n", + "The `.load_experiment` API will load the latest revision." ] }, { @@ -495,7 +207,14 @@ } ], "source": [ - "# experiment_from_load = OpenAIChatExperiment.load_experiment(experiment._experiment_id)" + "experiment_from_load = OpenAIChatExperiment.load_experiment(experiment._experiment_id)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, you can re-run the experiment or evaluate them as you see fit." ] }, { @@ -572,13 +291,37 @@ } ], "source": [ - "experiment_from_load.full_df\n", "experiment_from_load.visualize()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you wish to load from a specific revision (in the history of the experiment), you can use `.load_revision`." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sending HTTP GET request...\n", + "Loaded experiment.\n" + ] + } + ], + "source": [ + "experiment_from_load_revision = OpenAIChatExperiment.load_revision(experiment._revision_id)" + ] + }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -606,7 +349,6 @@ " messages\n", " response\n", " latency\n", - " dumb_eval_metric\n", " \n", " \n", " \n", @@ -616,7 +358,6 @@ " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", " 1.105475\n", - " EVAL'ED The first\n", " \n", " \n", " 1\n", @@ -624,7 +365,6 @@ " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", " 1.025263\n", - " EVAL'ED The first\n", " \n", " \n", "\n", @@ -643,9 +383,9 @@ "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", "1 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", "\n", - " latency dumb_eval_metric \n", - "0 1.105475 EVAL'ED The first \n", - "1 1.025263 EVAL'ED The first " + " latency \n", + "0 1.105475 \n", + "1 1.025263 " ] }, "metadata": {}, @@ -653,793 +393,35 @@ } ], "source": [ - "def _dumb_eval(row):\n", - " return \"EVAL'ED \" + row['response'][:10]\n", - "\n", - "\n", - "experiment_from_load.evaluate(\"dumb_eval_metric\", _dumb_eval)\n", - "experiment_from_load.visualize()" + "experiment_from_load_revision.visualize()" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 14, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating serialized state of experiment...\n", + "Sending HTTP POST request...\n" + ] + }, { "data": { - "text/html": [ - "
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0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]0.01.01False0.00.0The first president of the United States was George Washington. He served as president from 1789 to 1797.chatcmpl-8F4L3c4rdCCxcT38evtH4hHxPSFWJchat.completion1698602289gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47}1.105475c60795e9-efaa-4de0-9a16-770f22e13efc
1gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]1.01.01False0.00.0The first president of the United States was George Washington. He served as president from 1789 to 1797.chatcmpl-8F4L4yc7QqsJepuhdx4IQkFQ79rTychat.completion1698602290gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47}1.025263c60795e9-efaa-4de0-9a16-770f22e13efc
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" - ], - "text/plain": [ - " model \\\n", - "0 gpt-3.5-turbo \n", - "1 gpt-3.5-turbo \n", - "\n", - " messages \\\n", - "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "\n", - " temperature top_p n stream presence_penalty frequency_penalty \\\n", - "0 0.0 1.0 1 False 0.0 0.0 \n", - "1 1.0 1.0 1 False 0.0 0.0 \n", - "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "\n", - " response_id response_object response_created \\\n", - "0 chatcmpl-8F4L3c4rdCCxcT38evtH4hHxPSFWJ chat.completion 1698602289 \n", - "1 chatcmpl-8F4L4yc7QqsJepuhdx4IQkFQ79rTy chat.completion 1698602290 \n", - "\n", - " response_model \\\n", - "0 gpt-3.5-turbo-0613 \n", - "1 gpt-3.5-turbo-0613 \n", - "\n", - " response_choices \\\n", - "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", - "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", - "\n", - " response_usage \\\n", - "0 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", - "1 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", - "\n", - " latency revision_id \n", - "0 1.105475 c60795e9-efaa-4de0-9a16-770f22e13efc \n", - "1 1.025263 c60795e9-efaa-4de0-9a16-770f22e13efc " - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "experiment_from_load_revision.full_df\n" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " temperature \\\n", - "0 0.0 \n", - "1 1.0 \n", - "\n", - " messages \\\n", - "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "\n", - " latency \n", - "0 1.105475 \n", - "1 1.025263 " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "experiment_from_load_revision.visualize()" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Creating serialized state of experiment...\n", - "Sending HTTP POST request...\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "experiment_from_load_revision.save_experiment(\"TEST_SAVE_NAME3\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Run Experiment on Server Example" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Response:\n", - "200\n", - "[{'model': 'gpt-3.5-turbo', 'messages': [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}], 'temperature': 0.0, 'top_p': 1.0, 'n': 1, 'stream': False, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'response': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.', 'response_id': 'chatcmpl-88dS1ylV1T7BwNiuD53qHp3uylC05', 'response_object': 'chat.completion', 'response_created': 1697068965, 'response_model': 'gpt-3.5-turbo-0613', 'response_choices': [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}], 'response_usage': {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47}, 'latency': 1.445512291, 'user_id': 0, 'experiment_id': 'd38f3ce0-ff4b-48a1-a7eb-e87f160f2344', 'experiment_name': 'RUNNING_ON_SERVER_SIDE_TEST', 'revision_id': 'f6e99087-75dc-46cd-87e5-59f827825afd', 'timestamp': 1697054566670, 'log_id': '652737a6675c713faa41274b'}, {'model': 'gpt-3.5-turbo', 'messages': [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}], 'temperature': 1.0, 'top_p': 1.0, 'n': 1, 'stream': False, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'response': 'The first president of the United States was George Washington, serving from 1789 to 1797.', 'response_id': 'chatcmpl-88dS2l1gWveHxAOuyvqkjoOJV0ZIZ', 'response_object': 'chat.completion', 'response_created': 1697068966, 'response_model': 'gpt-3.5-turbo-0613', 'response_choices': [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington, serving from 1789 to 1797.'}, 'finish_reason': 'stop'}], 'response_usage': {'prompt_tokens': 23, 'completion_tokens': 21, 'total_tokens': 44}, 'latency': 0.6030918751, 'user_id': 0, 'experiment_id': 'd38f3ce0-ff4b-48a1-a7eb-e87f160f2344', 'experiment_name': 'RUNNING_ON_SERVER_SIDE_TEST', 'revision_id': 'f6e99087-75dc-46cd-87e5-59f827825afd', 'timestamp': 1697054566670, 'log_id': '652737a6675c713faa41274c'}]\n" - ] - } - ], - "source": [ - "import requests\n", - "import json\n", - "\n", - "url = \"http://127.0.0.1:5000/experiment/run\"\n", - "\n", - "model = [\"gpt-3.5-turbo\"]\n", - "messages = [\n", - " [\n", - " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", - " {\"role\": \"user\", \"content\": \"Who was the first president?\"},\n", - " ]\n", - "]\n", - "temperature = [0.0, 1.0]\n", - "\n", - "\n", - "input_parameters = {\n", - " 'experiment_name': 'RUNNING_ON_SERVER_SIDE_TEST',\n", - " 'model': models,\n", - " 'messages': messages,\n", - " 'temperature': temperature,\n", - "}\n", - "\n", - "headers = {\n", - " \"OPENAI_API_KEY\": os.environ[\"OPENAI_API_KEY\"],\n", - " \"Content-Type\": \"application/json\"\n", - "}\n", - "\n", - "\n", - "response = requests.post(url, headers=headers, data=json.dumps(input_parameters))\n", - "\n", - "# Print the response\n", - "print(\"Response:\")\n", - "print(response.status_code)\n", - "print(response.json())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "Checking results..." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sending HTTP GET request...\n", - "Loaded experiment.\n" - ] - }, - { - "data": { - "text/html": [ - "
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modelmessagestemperaturetop_pnstreampresence_penaltyfrequency_penaltyresponseresponse_idresponse_objectresponse_createdresponse_modelresponse_choicesresponse_usagelatency
0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]0.01.01False0.00.0The first president of the United States was George Washington. He served as president from 1789 to 1797.chatcmpl-87elWGXAZOUy5u9cZpt9wK81fb8Tichat.completion1696835690gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47}1.008068
1gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]1.01.01False0.00.0The first president of the United States was George Washington.chatcmpl-87elYz68OyUCwP8ZBoW9KGszgKuq5chat.completion1696835692gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}0.957149
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" - ], - "text/plain": [ - " model \\\n", - "0 gpt-3.5-turbo \n", - "1 gpt-3.5-turbo \n", - "\n", - " messages \\\n", - "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "\n", - " temperature top_p n stream presence_penalty frequency_penalty \\\n", - "0 0.0 1.0 1 False 0.0 0.0 \n", - "1 1.0 1.0 1 False 0.0 0.0 \n", - "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. \n", - "\n", - " response_id response_object response_created \\\n", - "0 chatcmpl-87elWGXAZOUy5u9cZpt9wK81fb8Ti chat.completion 1696835690 \n", - "1 chatcmpl-87elYz68OyUCwP8ZBoW9KGszgKuq5 chat.completion 1696835692 \n", - "\n", - " response_model \\\n", - "0 gpt-3.5-turbo-0613 \n", - "1 gpt-3.5-turbo-0613 \n", - "\n", - " response_choices \\\n", - "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", - "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}] \n", - "\n", - " response_usage \\\n", - "0 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", - "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", - "\n", - " latency \n", - "0 1.008068 \n", - "1 0.957149 " - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "experiment_from_load = OpenAIChatExperiment.load_experiment(\"9697a0dd-d603-4443-beec-bd6fd0b9126f\")\n", - "experiment_from_load.full_df" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Feedback" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Received data: Field updated or inserted successfully.\n" - ] - } - ], - "source": [ - "import requests\n", - "import json\n", - "\n", - "api_url = \"http://127.0.0.1:5000/experiment/add_feedback/\"\n", - "\n", - "# Specify the data for the POST request\n", - "data = {\n", - " \"log_id\": \"65239810e9aee9e6d2cbc482\",\n", - " \"metric_name\": \"CUSTOM_METRIC\",\n", - " \"value\": 123,\n", - "}\n", - "\n", - "# Make the POST request\n", - "response = requests.post(api_url, json=data)\n", - "\n", - "# Check the response\n", - "if response.status_code == 200:\n", - " # Deserialize the response if it contains JSON data\n", - " data = response.json()\n", - " print(\"Received data:\", data)\n", - "else:\n", - " print(f\"Error: {response.status_code}, {response.text}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sending HTTP GET request...\n", - "Loaded experiment.\n" - ] - }, - { - "data": { - "text/html": [ - "
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modelmessagestemperaturetop_pnstreampresence_penaltyfrequency_penaltyresponseresponse_idresponse_objectresponse_createdresponse_modelresponse_choicesresponse_usagelatencyCUSTOM_METRIC
0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]0.01.01False0.00.0The first president of the United States was George Washington. He served as president from 1789 to 1797.chatcmpl-87dUDKRQCO6Bq1PdPJLfF3vsXeluEchat.completion1696830773gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47}0.859089123.0
1gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]1.01.01False0.00.0The first president of the United States was George Washington.chatcmpl-87dUEABSL6dfbEQqDw6Mc61cKh42schat.completion1696830774gpt-3.5-turbo-0613[{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}]{'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}1.121416NaN
\n", - "
" - ], "text/plain": [ - " model \\\n", - "0 gpt-3.5-turbo \n", - "1 gpt-3.5-turbo \n", - "\n", - " messages \\\n", - "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "\n", - " temperature top_p n stream presence_penalty frequency_penalty \\\n", - "0 0.0 1.0 1 False 0.0 0.0 \n", - "1 1.0 1.0 1 False 0.0 0.0 \n", - "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. \n", - "\n", - " response_id response_object response_created \\\n", - "0 chatcmpl-87dUDKRQCO6Bq1PdPJLfF3vsXeluE chat.completion 1696830773 \n", - "1 chatcmpl-87dUEABSL6dfbEQqDw6Mc61cKh42s chat.completion 1696830774 \n", - "\n", - " response_model \\\n", - "0 gpt-3.5-turbo-0613 \n", - "1 gpt-3.5-turbo-0613 \n", - "\n", - " response_choices \\\n", - "0 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}] \n", - "1 [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}] \n", - "\n", - " response_usage \\\n", - "0 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", - "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", - "\n", - " latency CUSTOM_METRIC \n", - "0 0.859089 123.0 \n", - "1 1.121416 NaN " + "" ] }, - "execution_count": 32, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "experiment_from_load = OpenAIChatExperiment.load_experiment('c5f7e53f-7c69-474e-aa4a-b9df17efca45')\n", - "experiment_from_load.full_df" + "experiment_from_load_revision.save_experiment(\"TEST_SAVE_NAME3\")" ] }, { @@ -1450,62 +432,19 @@ "source": [] }, { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 24, + "cell_type": "markdown", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "from pymongo import MongoClient\n", - "\n", - "MONGO_ADDRESS = 'mongodb://localhost:27017/'\n", - "DATABASE_NAME = 'playground'\n", - "EXPERIMENTS = 'experiments'\n", - "EXPERIMENT_LOGS_COLLECTION_NAME = 'experiment_logs'\n", - "USER_PERMISSION_COLLECTION_NAME = \"user_permission\"\n", - "\n", - "# Connect to MongoDB\n", - "client = MongoClient(MONGO_ADDRESS)\n", - "db = client[DATABASE_NAME]\n", - "experiments_collection = db[EXPERIMENTS]\n", - "logs_collection = db[EXPERIMENT_LOGS_COLLECTION_NAME]\n", - "user_permission_collection = db[USER_PERMISSION_COLLECTION_NAME]\n", - "\n", - "\n", - "experiments_collection.delete_many({})\n", - "logs_collection.delete_many({})\n", - "user_permission_collection.delete_many({})" + "### Partially executing experiments" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Testing auth" + "If you do not wish to re-run the entire experiment and only want to re-run specific components and append the results to the existing ones.\n", + "\n", + "You can use `run_one` or `run_partial`:" ] }, { @@ -1513,205 +452,19 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 111, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "f316761ef60ba804c4ae9963656204f14f8b7a85b982e2738aee02e31626fab9295aa760b67dc71300473484f5881744\n", - "\n", - "\n", - "401 Unauthorized\n", - "

Unauthorized

\n", - "

The server could not verify that you are authorized to access the URL requested. You either supplied the wrong credentials (e.g. a bad password), or your browser doesn't understand how to supply the credentials required.

\n", - "\n" - ] - } - ], - "source": [ - "import requests\n", - "\n", - "def get_experiments(access_token):\n", - " # URL for the API endpoint\n", - " api_url = \"http://127.0.0.1:5000/experiment/test_auth\"\n", - "\n", - " # Set up headers with the Bearer token\n", - " headers = {\n", - "# 'Authorization': f'Bearer {access_token}'\n", - " 'Authorization': access_token\n", - " }\n", - "\n", - " # Make the GET request with headers\n", - " response = requests.post(api_url, headers=headers)\n", - "\n", - " # Return the response object\n", - " return response\n", - "\n", - "print(os.environ['HEGELAI_API_KEY'])\n", - "response = get_experiments(os.environ['HEGELAI_API_KEY'])\n", - "print(response.text)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Response:\n", - "401\n" - ] - } - ], "source": [ - "import requests\n", - "import json\n", - "\n", - "\n", - "\n", - "url = \"http://127.0.0.1:5000/experiment\"\n", - "# url = \"http://127.0.0.1:5000/experiment/logs\"\n", - "\n", - "model = [\"gpt-3.5-turbo\"]\n", - "messages = [\n", - " [\n", + "experiment.run_one(\"gpt-3.5-turbo\", [\n", " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", - " {\"role\": \"user\", \"content\": \"Who was the first president?\"},\n", - " ]\n", - "]\n", - "temperature = [0.0, 1.0]\n", - "\n", - "\n", - "input_parameters = {\n", - " 'experiment_name': 'RUNNING_ON_SERVER_SIDE_TEST',\n", - " 'model': models,\n", - " 'messages': messages,\n", - " 'temperature': temperature,\n", - "}\n", - "\n", - "headers = {\n", - " \"Authorization\": os.environ[\"HEGELAI_API_KEY\"],\n", - " \"Content-Type\": \"application/json\"\n", - "}\n", - "\n", - "\n", - "response = requests.get(url, headers=headers, data=json.dumps(input_parameters))\n", - "\n", - "# Print the response\n", - "print(\"Response:\")\n", - "print(response.status_code)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Response:\n", - "200\n" - ] - } - ], - "source": [ - "import requests\n", - "import json\n", - "\n", - "\n", - "\n", - "url = \"http://127.0.0.1:5000/permission/get_experiment_members\"\n", - "\n", - "headers = {\n", - " \"Authorization\": os.environ[\"HEGELAI_API_KEY\"],\n", - " \"Content-Type\": \"application/json\"\n", - "}\n", - "\n", - "\n", - "response = requests.get(url, headers=headers)\n", - "\n", - "# Print the response\n", - "print(\"Response:\")\n", - "print(response.status_code)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "is_executing": true - }, - "outputs": [], - "source": [ - "import requests\n", - "import json\n", - "\n", - "\n", - "\n", - "url = \"http://127.0.0.1:5000/web/get/experiments2\"\n", - "\n", - "headers = {\n", - " \"Authorization\": os.environ[\"HEGELAI_API_KEY\"],\n", - " \"Content-Type\": \"application/json\"\n", - "}\n", - "\n", - "\n", - "response = requests.get(url, headers=headers)\n", - "\n", - "# Print the response\n", - "print(\"Response:\")\n", - "print(response.status_code)" + " {\"role\": \"user\", \"content\": \"Who was the second president?\"},\n", + " ])\n", + "experiment.visualize()" ] }, { - "cell_type": "code", - "execution_count": 19, + "cell_type": "markdown", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Response:\n", - "200\n" - ] - } - ], "source": [ - "import requests\n", - "import json\n", - "\n", - "\n", - "\n", - "url = \"http://127.0.0.1:5000/permission/get_experiment_members\"\n", - "\n", - "headers = {\n", - " \"Authorization\": os.environ[\"HEGELAI_API_KEY\"],\n", - " \"Content-Type\": \"application/json\"\n", - "}\n", - "\n", - "\n", - "\n", - "parameters = {\n", - " 'experiment_id': 'da044226-bd4b-4fb5-b358-2c781e031dad',\n", - "}\n", - "\n", - "response = requests.get(url, headers=headers, data=json.dumps(parameters))\n", - "\n", - "# Print the response\n", - "print(\"Response:\")\n", - "print(response.status_code)" + "For `run_partial`, if the parameter didn't exist in the experiment before, it will be added to set up. In this case, the next time you call `run`, `temperature=0.5` will be executed along with the existing parameters as well." ] }, { @@ -1719,176 +472,10 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Response:\n", - "200\n" - ] - } - ], - "source": [ - "import requests\n", - "import json\n", - "\n", - "\n", - "\n", - "url = \"http://127.0.0.1:5000/web/evaluate/auto_eval\"\n", - "\n", - "headers = {\n", - " \"Authorization\": os.environ[\"HEGELAI_API_KEY\"],\n", - " \"OPENAI_API_KEY\": os.environ[\"OPENAI_API_KEY\"],\n", - " \"Content-Type\": \"application/json\"\n", - "}\n", - "\n", - "\n", - "parameters = {\n", - " 'log_id': '652ebc5342a9d6e77881c32e',\n", - " 'metric_name': 'score',\n", - "}\n", - "\n", - "response = requests.post(url, headers=headers, data=json.dumps(parameters))\n", - "\n", - "# Print the response\n", - "print(\"Response:\")\n", - "print(response.status_code)" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Response:\n", - "200\n", - "{'652ebc5342a9d6e77881c32e': '10', '652ebc5342a9d6e77881c32f': '10'}\n" - ] - } - ], - "source": [ - "import requests\n", - "import json\n", - "\n", - "\n", - "\n", - "url = \"http://127.0.0.1:5000/web/evaluate/auto_eval_many\"\n", - "\n", - "headers = {\n", - " \"Authorization\": os.environ[\"HEGELAI_API_KEY\"],\n", - " \"OPENAI_API_KEY\": os.environ[\"OPENAI_API_KEY\"],\n", - " \"Content-Type\": \"application/json\"\n", - "}\n", - "\n", - "\n", - "parameters = {\n", - " 'log_ids': ['652ebc5342a9d6e77881c32e', '652ebc5342a9d6e77881c32f'],\n", - " 'metric_name': 'score',\n", - "}\n", - "\n", - "response = requests.post(url, headers=headers, data=json.dumps(parameters))\n", - "\n", - "# Print the response\n", - "print(\"Response:\")\n", - "print(response.status_code)\n", - "print(response.json())" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Response:\n", - "200\n" - ] - } - ], - "source": [ - "import requests\n", - "import json\n", - "\n", - "\n", - "\n", - "url = \"http://127.0.0.1:5000/web/get/logs\"\n", - "\n", - "headers = {\n", - " \"Authorization\": os.environ[\"HEGELAI_API_KEY\"],\n", - " \"Content-Type\": \"application/json\"\n", - "}\n", - "\n", - "\n", - "# parameters = {\n", - "# 'experiment_id': 'da044226-bd4b-4fb5-b358-2c781e031dad',\n", - "# }\n", - "\n", - "response = requests.get(url, headers=headers) # , data=json.dumps(parameters))\n", - "\n", - "# Print the response\n", - "print(\"Response:\")\n", - "print(response.status_code)" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Response:\n", - "404\n" - ] - } - ], "source": [ - "import requests\n", - "import json\n", - "\n", - "\n", - "\n", - "url = \"http://127.0.0.1:5000/web/something\"\n", - "\n", - "headers = {\n", - " \"Authorization\": os.environ[\"HEGELAI_API_KEY\"],\n", - " \"Content-Type\": \"application/json\"\n", - "}\n", - "\n", - "\n", - "# parameters = {\n", - "# 'experiment_id': 'da044226-bd4b-4fb5-b358-2c781e031dad',\n", - "# }\n", - "\n", - "response = requests.get(url, headers=headers) # , data=json.dumps(parameters))\n", - "\n", - "# Print the response\n", - "print(\"Response:\")\n", - "print(response.status_code)" + "experiment.run_partial(temperature=0.5)\n", + "experiment.full_df" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { From ecb5644ed5bae0c4eaeabf12f4e25c7adec2eeed Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 1 Nov 2023 10:58:14 -0400 Subject: [PATCH 103/182] Reduce profile sample rate --- prompttools/sentry.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/prompttools/sentry.py b/prompttools/sentry.py index 18abbd36..f3dff61c 100644 --- a/prompttools/sentry.py +++ b/prompttools/sentry.py @@ -57,12 +57,14 @@ def init_sentry(): sentry_sdk.init( dsn=SENTRY_DSN, release=__version__, - traces_sample_rate=1, + traces_sample_rate=1.0, include_local_variables=False, send_default_pii=False, attach_stacktrace=False, before_send=filter_info, include_source_context=False, + # the rate at which transaction and performance data is sampled for profiling purposes + profiles_sample_rate=0.0, ) try: filename = os.path.join(os.environ.get("HOME", "/tmp"), ".token") From bdd1b11c81dc5e5b7a73311a89fa6d3fe0e032d3 Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 1 Nov 2023 11:20:05 -0400 Subject: [PATCH 104/182] Minor fixes --- prompttools/harness/chat_prompt_template_harness.py | 2 +- prompttools/harness/model_comparison_harness.py | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/prompttools/harness/chat_prompt_template_harness.py b/prompttools/harness/chat_prompt_template_harness.py index 6abec73c..c7b904eb 100644 --- a/prompttools/harness/chat_prompt_template_harness.py +++ b/prompttools/harness/chat_prompt_template_harness.py @@ -29,7 +29,7 @@ class ChatPromptTemplateExperimentationHarness(ExperimentationHarness): experiment (Type[Experiment]): The experiment constructor that you would like to execute within the harness (e.g. ``prompttools.experiment.OpenAICompletionExperiment``) model_name (str): The name of the model. - prompt_templates (List[str]): A list of prompt ``jinja``-styled templates. + message_templates (List[str]): A list of prompt ``jinja``-styled templates. user_inputs (List[Dict[str, str]]): A list of dictionaries representing user inputs. model_arguments (Optional[Dict[str, object]], optional): Additional arguments for the model. Defaults to ``None``. Note that the values are not lists. diff --git a/prompttools/harness/model_comparison_harness.py b/prompttools/harness/model_comparison_harness.py index 577fe9c0..ac4ec310 100644 --- a/prompttools/harness/model_comparison_harness.py +++ b/prompttools/harness/model_comparison_harness.py @@ -14,6 +14,7 @@ from IPython import display from tabulate import tabulate import logging +from copy import deepcopy class ModelComparisonHarness(ExperimentationHarness): @@ -41,7 +42,7 @@ def __init__( ): self.model_names = model_names self.system_prompts = system_prompts - self.model_arguments = model_arguments + self.model_arguments = deepcopy(model_arguments) self.user_messages = user_messages self.runs = runs self.experiments = [] From 6ef30459211197b5858843c3d0c428c17457c5c3 Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Fri, 3 Nov 2023 09:09:08 -0700 Subject: [PATCH 105/182] Version bump --- docs/source/conf.py | 2 +- prompttools/version.py | 4 ++-- pyproject.toml | 2 +- version.txt | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 5cc11738..6b62e06d 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -11,7 +11,7 @@ project = "prompttools" copyright = "2023, Hegel AI" author = "Hegel AI" -release = "0.0.38" +release = "0.0.39" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/prompttools/version.py b/prompttools/version.py index 464b6921..a956d0b5 100644 --- a/prompttools/version.py +++ b/prompttools/version.py @@ -1,2 +1,2 @@ -__version__ = '0.0.38a0+fc1d83e' -git_version = 'fc1d83edea9163a1a50b9b76f4498c9564ce7a00' +__version__ = '0.0.39a0+2d66493' +git_version = '2d664931b45022e08606e12febeb2ed3f98f0796' diff --git a/pyproject.toml b/pyproject.toml index 5817bc81..284b1461 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "prompttools" -version = "0.0.38" +version = "0.0.39" authors = [ { name="Hegel AI", email="team@hegel-ai.com" }, ] diff --git a/version.txt b/version.txt index 71d96866..6195d6ed 100644 --- a/version.txt +++ b/version.txt @@ -1 +1 @@ -0.0.38a0 +0.0.39a0 From 43aac189f2fe90cff918faeba850aa8844eb32e7 Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Fri, 3 Nov 2023 09:10:23 -0700 Subject: [PATCH 106/182] Version bump --- docs/source/conf.py | 2 +- prompttools/version.py | 4 ++-- pyproject.toml | 2 +- version.txt | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 6b62e06d..219b606d 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -11,7 +11,7 @@ project = "prompttools" copyright = "2023, Hegel AI" author = "Hegel AI" -release = "0.0.39" +release = "0.0.40" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/prompttools/version.py b/prompttools/version.py index a956d0b5..63d216f0 100644 --- a/prompttools/version.py +++ b/prompttools/version.py @@ -1,2 +1,2 @@ -__version__ = '0.0.39a0+2d66493' -git_version = '2d664931b45022e08606e12febeb2ed3f98f0796' +__version__ = '0.0.40a0+e60cb9e' +git_version = 'e60cb9e454cdc78e1a790e1cd4e5e8d3f01773c3' diff --git a/pyproject.toml b/pyproject.toml index 284b1461..c1f19cdb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "prompttools" -version = "0.0.39" +version = "0.0.40" authors = [ { name="Hegel AI", email="team@hegel-ai.com" }, ] diff --git a/version.txt b/version.txt index 6195d6ed..123b52be 100644 --- a/version.txt +++ b/version.txt @@ -1 +1 @@ -0.0.39a0 +0.0.40a0 From 6e6ef77d520abd969925039b5ababcd3c52fe679 Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 3 Nov 2023 14:41:24 -0400 Subject: [PATCH 107/182] Render system prompts in template as well --- prompttools/harness/chat_prompt_template_harness.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/prompttools/harness/chat_prompt_template_harness.py b/prompttools/harness/chat_prompt_template_harness.py index c7b904eb..5a48f725 100644 --- a/prompttools/harness/chat_prompt_template_harness.py +++ b/prompttools/harness/chat_prompt_template_harness.py @@ -15,7 +15,9 @@ def _render_messages_openai_chat(message_template: list[dict], user_input: dict, environment): rendered_message = deepcopy(message_template) + sys_msg_template = environment.from_string(rendered_message[0]["content"]) user_msg_template = environment.from_string(rendered_message[-1]["content"]) + rendered_message[0]["content"] = sys_msg_template.render(**user_input) rendered_message[-1]["content"] = user_msg_template.render(**user_input) return rendered_message @@ -29,7 +31,8 @@ class ChatPromptTemplateExperimentationHarness(ExperimentationHarness): experiment (Type[Experiment]): The experiment constructor that you would like to execute within the harness (e.g. ``prompttools.experiment.OpenAICompletionExperiment``) model_name (str): The name of the model. - message_templates (List[str]): A list of prompt ``jinja``-styled templates. + message_templates (List[str]): A list of prompt ``jinja``-styled templates. Each template should have two + messages inside (first system prompt and second a user message). user_inputs (List[Dict[str, str]]): A list of dictionaries representing user inputs. model_arguments (Optional[Dict[str, object]], optional): Additional arguments for the model. Defaults to ``None``. Note that the values are not lists. From 1d2c9c60bb42a49e9bbc0e2917f102d83746d788 Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Fri, 3 Nov 2023 16:41:41 -0700 Subject: [PATCH 108/182] Version bump --- docs/source/conf.py | 2 +- prompttools/version.py | 4 ++-- pyproject.toml | 2 +- version.txt | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 219b606d..2530dcf1 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -11,7 +11,7 @@ project = "prompttools" copyright = "2023, Hegel AI" author = "Hegel AI" -release = "0.0.40" +release = "0.0.41" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/prompttools/version.py b/prompttools/version.py index 63d216f0..b713ca27 100644 --- a/prompttools/version.py +++ b/prompttools/version.py @@ -1,2 +1,2 @@ -__version__ = '0.0.40a0+e60cb9e' -git_version = 'e60cb9e454cdc78e1a790e1cd4e5e8d3f01773c3' +__version__ = '0.0.41a0+6e6ef77' +git_version = '6e6ef77d520abd969925039b5ababcd3c52fe679' diff --git a/pyproject.toml b/pyproject.toml index c1f19cdb..a314ece5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "prompttools" -version = "0.0.40" +version = "0.0.41" authors = [ { name="Hegel AI", email="team@hegel-ai.com" }, ] diff --git a/version.txt b/version.txt index 123b52be..4e731d9c 100644 --- a/version.txt +++ b/version.txt @@ -1 +1 @@ -0.0.40a0 +0.0.41a0 From 354494713a7751bd3ab585e4d67ac4dfeb465fd6 Mon Sep 17 00:00:00 2001 From: Kevin Date: Sun, 5 Nov 2023 23:52:21 -0500 Subject: [PATCH 109/182] Allowing experiment name to be `None` when there is ID --- .../experiments/openai_chat_experiment.py | 22 ++++++++++++++++--- prompttools/harness/harness.py | 16 ++++++++++++-- .../harness/model_comparison_harness.py | 5 +++++ 3 files changed, 38 insertions(+), 5 deletions(-) diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index 2fdb5f95..0b3d1205 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -194,7 +194,13 @@ def _get_state(self): print("Creating state of experiment...") return state - def save_experiment(self, name: str): + def save_experiment(self, name: Optional[str] = None): + r""" + name (str, optional): Name of the experiment. This is optional if you have previously loaded an experiment + into this object. + """ + if name is None and self._experiment_id is None: + raise RuntimeError("Please provide a name for your experiment.") if self.full_df is None: raise RuntimeError("Cannot save empty experiment. Please run it first.") if os.environ["HEGELAI_API_KEY"] is None: @@ -214,6 +220,9 @@ def save_experiment(self, name: str): @classmethod def load_experiment(cls, experiment_id: str): + r""" + experiment_id (str): experiment ID of the experiment that you wish to load. + """ if os.environ["HEGELAI_API_KEY"] is None: raise PermissionError("Please set HEGELAI_API_KEY (e.g. os.environ['HEGELAI_API_KEY']).") @@ -234,6 +243,9 @@ def load_experiment(cls, experiment_id: str): @classmethod def load_revision(cls, revision_id: str): + r""" + revision_id (str): revision ID of the experiment that you wish to load. + """ if os.environ["HEGELAI_API_KEY"] is None: raise PermissionError("Please set HEGELAI_API_KEY (e.g. os.environ['HEGELAI_API_KEY']).") @@ -269,8 +281,12 @@ def _load_state(cls, state, experiment_id: str, revision_id: str, experiment_typ experiment.prompt_keys = prompt_keys experiment.all_args = all_args experiment.full_df = pd.DataFrame(full_df) - experiment.partial_df = experiment.full_df[state_params["partial_col_names"]].copy() - experiment.score_df = experiment.full_df[state_params["score_col_names"]].copy() + experiment.partial_df = ( + experiment.full_df[state_params["partial_col_names"]].copy() if experiment.full_df is not None else None + ) + experiment.score_df = ( + experiment.full_df[state_params["score_col_names"]].copy() if experiment.full_df is not None else None + ) experiment._experiment_id = experiment_id experiment._revision_id = revision_id print("Loaded experiment.") diff --git a/prompttools/harness/harness.py b/prompttools/harness/harness.py index 425fdfea..8f51040d 100644 --- a/prompttools/harness/harness.py +++ b/prompttools/harness/harness.py @@ -4,7 +4,7 @@ # This source code's license can be found in the # LICENSE file in the root directory of this source tree. -from typing import Callable +from typing import Callable, Optional from prompttools.experiment import Experiment @@ -89,7 +89,13 @@ def _get_state(self): def _load_state(cls, state, experiment_id: str, revision_id: str, experiment_type_str: str): raise NotImplementedError("Should be implemented by specific harness class.") - def save_experiment(self, name: str): + def save_experiment(self, name: Optional[str] = None): + r""" + name (str, optional): Name of the experiment. This is optional if you have previously loaded an experiment + into this object. + """ + if name is None and self._experiment_id is None: + raise RuntimeError("Please provide a name for your experiment.") if self.full_df is None: raise RuntimeError("Cannot save empty experiment. Please run it first.") if os.environ["HEGELAI_API_KEY"] is None: @@ -109,6 +115,9 @@ def save_experiment(self, name: str): @classmethod def load_experiment(cls, experiment_id: str): + r""" + experiment_id (str): experiment ID of the experiment that you wish to load. + """ if os.environ["HEGELAI_API_KEY"] is None: raise PermissionError("Please set HEGELAI_API_KEY (e.g. os.environ['HEGELAI_API_KEY']).") @@ -129,6 +138,9 @@ def load_experiment(cls, experiment_id: str): @classmethod def load_revision(cls, revision_id: str): + r""" + revision_id (str): revision ID of the experiment that you wish to load. + """ if os.environ["HEGELAI_API_KEY"] is None: raise PermissionError("Please set HEGELAI_API_KEY (e.g. os.environ['HEGELAI_API_KEY']).") diff --git a/prompttools/harness/model_comparison_harness.py b/prompttools/harness/model_comparison_harness.py index ac4ec310..3ea3ad89 100644 --- a/prompttools/harness/model_comparison_harness.py +++ b/prompttools/harness/model_comparison_harness.py @@ -172,6 +172,11 @@ def _load_state(cls, state, experiment_id: str, revision_id: str, experiment_typ model_arguments = state_params["model_arguments"] child_experiment_states = state_params["child_experiment_states"] + for i, state in enumerate(child_experiment_states): + print(f"{i = }") + print(f"{state[0] = }") + print(f"{state[1] = }") + harness = cls(model_names, system_prompts, user_messages, model_arguments) harness.experiments = [ OpenAIChatExperiment._load_state(state, None, None, OpenAIChatExperiment._experiment_type) From 4c6f804a1170e2445f68e4ab166d5e6ef5d4057c Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 7 Nov 2023 23:59:18 -0500 Subject: [PATCH 110/182] Adding `seed` to OpenAI Chat --- .../experiment/experiments/openai_chat_experiment.py | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index 0b3d1205..066a1db6 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -85,6 +85,12 @@ class OpenAIChatExperiment(Experiment): Defaults to [None]. A dictionary containing the name and arguments of a function that should be called, s generated by the model. + seed (list[Optional[int]]): + This feature is in Beta. If specified, our system will make a best effort to sample deterministically, + such that repeated requests with the same `seed` and parameters should return the same result. + Determinism is not guaranteed, and you should refer to the `system_fingerprint` response parameter to + monitor changes in the backend. + azure_openai_service_configs (Optional[dict]): Defaults to ``None``. If it is set, the experiment will use Azure OpenAI Service. The input dict should contain these 3 keys (but with values based on your use case and configuration): @@ -107,6 +113,7 @@ def __init__( presence_penalty: Optional[List[float]] = [0.0], frequency_penalty: Optional[List[float]] = [0.0], logit_bias: Optional[List[Dict]] = [None], + seed: List[Optional[int]] = [None], functions: Optional[List[Dict]] = [None], function_call: Optional[List[Dict[str, str]]] = [None], azure_openai_service_configs: Optional[dict] = None, @@ -143,6 +150,7 @@ def __init__( presence_penalty=presence_penalty, frequency_penalty=frequency_penalty, logit_bias=logit_bias, + seed=seed, ) # These parameters aren't supported by `gpt-35-turbo`, we can remove them if they are equal to defaults @@ -372,6 +380,7 @@ def run_one( presence_penalty: Optional[float] = 0.0, frequency_penalty: Optional[float] = 0.0, logit_bias: Optional[Dict] = None, + seed: Optional[int] = None, functions: Optional[Dict] = None, function_call: Optional[Dict[str, str]] = None, ): @@ -392,6 +401,7 @@ def run_one( "presence_penalty": presence_penalty, "frequency_penalty": frequency_penalty, "logit_bias": logit_bias, + "seed": seed, "functions": functions, "function_call": function_call, } From d0888fbcb07cc6c18f7cafd00bf017f35d00dce4 Mon Sep 17 00:00:00 2001 From: Kevin Tse Date: Wed, 8 Nov 2023 00:44:10 -0500 Subject: [PATCH 111/182] Updating OpenAI experiments to use the latest APIs (#104) --- examples/prompttests/test_openai_chat.py | 14 +++++++++----- .../experiments/openai_chat_experiment.py | 12 ++++++------ .../experiments/openai_completion_experiment.py | 6 +++--- prompttools/requests/request_queue.py | 2 +- prompttools/requests/retries.py | 12 +++++++----- prompttools/utils/autoeval.py | 7 ++++--- prompttools/utils/autoeval_from_expected.py | 8 +++++--- prompttools/utils/autoeval_with_docs.py | 9 ++++++--- prompttools/utils/expected.py | 9 ++++++--- 9 files changed, 47 insertions(+), 32 deletions(-) diff --git a/examples/prompttests/test_openai_chat.py b/examples/prompttests/test_openai_chat.py index 9d67ac28..c21a73be 100644 --- a/examples/prompttests/test_openai_chat.py +++ b/examples/prompttests/test_openai_chat.py @@ -5,7 +5,7 @@ # LICENSE file in the root directory of this source tree. import os -import openai +from openai import OpenAI import jinja2 from prompttools import prompttest from prompttools.prompttest.threshold_type import ThresholdType @@ -13,6 +13,10 @@ from prompttools.utils import validate_json from prompttools.mock.mock import mock_openai_completion_fn + +client = OpenAI() + + if not (("OPENAI_API_KEY" in os.environ) or ("DEBUG" in os.environ)): print("Error: This example requires you to set either your OPENAI_API_KEY or DEBUG=1") exit(1) @@ -44,8 +48,8 @@ def json_completion_fn(prompt: str): if os.getenv("DEBUG", default=False): response = mock_openai_completion_fn(**{"prompt": prompt}) else: - response = openai.Completion.create(prompt) - return response["choices"][0]["text"] + response = client.completions.create(model="babbage-002", prompt=prompt) + return response.choices[0].text @prompttest.prompttest( @@ -61,8 +65,8 @@ def completion_fn(prompt: str): if os.getenv("DEBUG", default=False): response = mock_openai_completion_fn(**{"prompt": prompt}) else: - response = openai.Completion.create(prompt) - return response["choices"][0]["text"] + response = client.completions.create(prompt) + return response.choices[0].text if __name__ == "__main__": diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index 066a1db6..07a6b5ca 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -118,7 +118,7 @@ def __init__( function_call: Optional[List[Dict[str, str]]] = [None], azure_openai_service_configs: Optional[dict] = None, ): - self.completion_fn = openai.ChatCompletion.create + self.completion_fn = openai.chat.completions.create if os.getenv("DEBUG", default=False): if functions[0] is not None: self.completion_fn = mock_openai_chat_function_completion_fn @@ -169,12 +169,12 @@ def __init__( super().__init__() @staticmethod - def _extract_responses(output: Dict[str, object]) -> str: - message = output["choices"][0]["message"] - if "function_call" in message: - return json.dumps(json.loads(message["function_call"]["arguments"])) + def _extract_responses(output: openai.types.Completion) -> str: + message = output.choices[0].message + if hasattr(message, "function_call"): + return json.dumps(json.loads(message.function_call.arguments)) else: - return message["content"] + return message.content @staticmethod def _is_chat(): diff --git a/prompttools/experiment/experiments/openai_completion_experiment.py b/prompttools/experiment/experiments/openai_completion_experiment.py index f04a2e1f..23546cf8 100644 --- a/prompttools/experiment/experiments/openai_completion_experiment.py +++ b/prompttools/experiment/experiments/openai_completion_experiment.py @@ -108,7 +108,7 @@ def __init__( logit_bias: Optional[Dict] = [None], azure_openai_service_configs: Optional[dict] = None, ): - self.completion_fn = openai.Completion.create + self.completion_fn = openai.completions.create if os.getenv("DEBUG", default=False): self.completion_fn = mock_openai_completion_fn @@ -161,8 +161,8 @@ def __init__( super().__init__() @staticmethod - def _extract_responses(output: Dict[str, object]) -> list[str]: - return [choice["text"] for choice in output["choices"]][0] + def _extract_responses(output: openai.types.Completion) -> list[str]: + return [choice.text for choice in output.choices][0] def _get_model_names(self): return [combo["model"] for combo in self.argument_combos] diff --git a/prompttools/requests/request_queue.py b/prompttools/requests/request_queue.py index 0f29c00a..ced95a6c 100644 --- a/prompttools/requests/request_queue.py +++ b/prompttools/requests/request_queue.py @@ -50,7 +50,7 @@ def _do_task(self, fn: Callable, args: Dict[str, object]) -> None: self.request_results.append(res[0]) self.request_latencies.append(res[1]) # TODO: If we get an unexpected error here, the queue will hang - except openai.error.AuthenticationError: + except openai.AuthenticationError: logging.error("Authentication error. Skipping request.") @retry_decorator diff --git a/prompttools/requests/retries.py b/prompttools/requests/retries.py index 27bf52a3..5745c862 100644 --- a/prompttools/requests/retries.py +++ b/prompttools/requests/retries.py @@ -32,11 +32,13 @@ def generate_retry_decorator(wait_lower_bound: int = 3, wait_upper_bound: int = stop=stop_after_attempt(max_retry_attempts), reraise=True, retry=( # Retry for these specific exceptions - retry_if_exception_type(openai.error.APIConnectionError) - | retry_if_exception_type(openai.error.APIError) - | retry_if_exception_type(openai.error.RateLimitError) - | retry_if_exception_type(openai.error.ServiceUnavailableError) - | retry_if_exception_type(openai.error.Timeout) + retry_if_exception_type(openai.APIConnectionError) + | retry_if_exception_type(openai.APIError) + | retry_if_exception_type(openai.RateLimitError) + | retry_if_exception_type(openai.APIStatusError) + | retry_if_exception_type(openai.APIConnectionError) + | retry_if_exception_type(openai.APIResponseValidationError) + | retry_if_exception_type(openai.APITimeoutError) ), before_sleep=before_sleep_log(logging.getLogger(__name__), logging.WARNING), ) diff --git a/prompttools/utils/autoeval.py b/prompttools/utils/autoeval.py index 58d3fc74..9cd3d956 100644 --- a/prompttools/utils/autoeval.py +++ b/prompttools/utils/autoeval.py @@ -7,7 +7,7 @@ import os from typing import Dict -import openai +from openai import OpenAI import pandas.core.series import jinja2 from .error import PromptToolsUtilityError @@ -23,6 +23,7 @@ RESPONSE: {{response}} ANSWER: """ +client = OpenAI() def _get_messages(prompt: str, response: str): @@ -48,8 +49,8 @@ def compute(prompt: str, response: str, model: str = "gpt-4") -> float: """ if not os.environ["OPENAI_API_KEY"]: raise PromptToolsUtilityError - evaluation = openai.ChatCompletion.create(model=model, messages=_get_messages(prompt, response)) - return 1.0 if "RIGHT" in evaluation["choices"][0]["message"]["content"] else 0.0 + evaluation = client.chat.completions.create(model=model, messages=_get_messages(prompt, response)) + return 1.0 if "RIGHT" in evaluation.choices[0].message.content else 0.0 def evaluate(prompt: str, response: str, _metadata: Dict) -> float: diff --git a/prompttools/utils/autoeval_from_expected.py b/prompttools/utils/autoeval_from_expected.py index 88618e0f..cb16b39c 100644 --- a/prompttools/utils/autoeval_from_expected.py +++ b/prompttools/utils/autoeval_from_expected.py @@ -6,7 +6,7 @@ import os -import openai +from openai import OpenAI import jinja2 import pandas from .error import PromptToolsUtilityError @@ -27,6 +27,8 @@ ANSWER: """ +client = OpenAI() + def _get_messages(prompt: str, expected: str, response: str): environment = jinja2.Environment() @@ -51,8 +53,8 @@ def compute(prompt: str, expected: str, response: str, model: str = "gpt-4") -> """ if not os.environ["OPENAI_API_KEY"]: raise PromptToolsUtilityError("Missing API key for evaluation.") - evaluation = openai.ChatCompletion.create(model=model, messages=_get_messages(prompt, expected, response)) - return 1.0 if "RIGHT" in evaluation["choices"][0]["message"]["content"] else 0.0 + evaluation = client.chat.completions.create(model=model, messages=_get_messages(prompt, expected, response)) + return 1.0 if "RIGHT" in evaluation.choices[0].message.content else 0.0 def evaluate(prompt: str, response: str, metadata: dict, expected: str) -> float: diff --git a/prompttools/utils/autoeval_with_docs.py b/prompttools/utils/autoeval_with_docs.py index f92d11db..0cbd6963 100644 --- a/prompttools/utils/autoeval_with_docs.py +++ b/prompttools/utils/autoeval_with_docs.py @@ -6,7 +6,7 @@ import os -import openai +from openai import OpenAI import pandas.core.series import jinja2 from .error import PromptToolsUtilityError @@ -27,6 +27,9 @@ """ +client = OpenAI() + + def _get_messages(documents: list[str], response: str): environment = jinja2.Environment() template = environment.from_string(EVALUATION_USER_TEMPLATE) @@ -49,8 +52,8 @@ def compute(documents: list[str], response: str, model: str = "gpt-4") -> float: """ if not os.environ["OPENAI_API_KEY"]: raise PromptToolsUtilityError - evaluation = openai.ChatCompletion.create(model=model, messages=_get_messages(documents, response)) - score_text = evaluation["choices"][0]["message"]["content"] + evaluation = client.chat.completions.create(model=model, messages=_get_messages(documents, response)) + score_text = evaluation.choices[0].message.content return int(score_text) diff --git a/prompttools/utils/expected.py b/prompttools/utils/expected.py index 0a527d0f..aa2e07c5 100644 --- a/prompttools/utils/expected.py +++ b/prompttools/utils/expected.py @@ -6,12 +6,15 @@ import os -import openai +from openai import OpenAI import pandas.core.series from .error import PromptToolsUtilityError from . import similarity +client = OpenAI() + + def compute(prompt: str, model: str = "gpt-4") -> str: r""" Computes the expected result of a given prompt by using a high @@ -24,8 +27,8 @@ def compute(prompt: str, model: str = "gpt-4") -> str: """ if not os.environ["OPENAI_API_KEY"]: raise PromptToolsUtilityError - response = openai.ChatCompletion.create(model=model, prompt=prompt) - return response["choices"][0]["message"]["content"] + response = client.chat.completions.create(model=model, prompt=prompt) + return response.choices[0].message.content def evaluate(prompt: str, response: str, model: str = "gpt-4") -> str: From bc5bb98c6a39eb5e3582cda04bfcdaedcc622a15 Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 8 Nov 2023 00:51:36 -0500 Subject: [PATCH 112/182] Adding OpenAI response format argument --- .../experiment/experiments/openai_chat_experiment.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index 07a6b5ca..a8a8ecae 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -85,6 +85,10 @@ class OpenAIChatExperiment(Experiment): Defaults to [None]. A dictionary containing the name and arguments of a function that should be called, s generated by the model. + response_format (list[Optional[dict]]): + Setting to `{ type: "json_object" }` enables JSON mode, which guarantees the message + the model generates is valid JSON. + seed (list[Optional[int]]): This feature is in Beta. If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same `seed` and parameters should return the same result. @@ -113,6 +117,7 @@ def __init__( presence_penalty: Optional[List[float]] = [0.0], frequency_penalty: Optional[List[float]] = [0.0], logit_bias: Optional[List[Dict]] = [None], + response_format: List[Optional[Dict]] = [None], seed: List[Optional[int]] = [None], functions: Optional[List[Dict]] = [None], function_call: Optional[List[Dict[str, str]]] = [None], @@ -151,6 +156,7 @@ def __init__( frequency_penalty=frequency_penalty, logit_bias=logit_bias, seed=seed, + response_format=response_format, ) # These parameters aren't supported by `gpt-35-turbo`, we can remove them if they are equal to defaults @@ -380,6 +386,7 @@ def run_one( presence_penalty: Optional[float] = 0.0, frequency_penalty: Optional[float] = 0.0, logit_bias: Optional[Dict] = None, + response_format: Optional[dict] = None, seed: Optional[int] = None, functions: Optional[Dict] = None, function_call: Optional[Dict[str, str]] = None, @@ -401,6 +408,7 @@ def run_one( "presence_penalty": presence_penalty, "frequency_penalty": frequency_penalty, "logit_bias": logit_bias, + "response_format": response_format, "seed": seed, "functions": functions, "function_call": function_call, From 57ec4d4fcb77ae0edc5bfc0411a4932e5ba4e022 Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 8 Nov 2023 01:27:12 -0500 Subject: [PATCH 113/182] Fix mock functions --- prompttools/mock/mock.py | 142 ++++++++++++++++++++++++--------------- 1 file changed, 89 insertions(+), 53 deletions(-) diff --git a/prompttools/mock/mock.py b/prompttools/mock/mock.py index d574f234..6e4b8867 100644 --- a/prompttools/mock/mock.py +++ b/prompttools/mock/mock.py @@ -15,66 +15,102 @@ cv2 = None +class DotDict(dict): + r""" + Have dot access to dictionary attributes + """ + __setattr__ = dict.__setitem__ + __delattr__ = dict.__delitem__ + + def __getattr__(self, key): + try: + val = self.get(key) + if val is None: # Doesn't support `None` as value + raise KeyError + else: + return val + except KeyError: + raise AttributeError(f"'{self.__class__.__name__}' object has no attribute '{key}'") + + def mock_openai_chat_completion_fn(**kwargs): - return { - "choices": [ - { - "finish_reason": "stop", - "index": 0, - "message": { - "content": "George Washington", - "role": "assistant", - }, - } - ], - "created": 1687839008, - "id": "", - "model": "gpt-3.5-turbo-0301", - "object": "chat.completion", - "usage": {"completion_tokens": 18, "prompt_tokens": 57, "total_tokens": 75}, - } + return DotDict( + { + "choices": [ + DotDict( + { + "finish_reason": "stop", + "index": 0, + "message": DotDict( + { + "content": "George Washington", + "role": "assistant", + } + ), + } + ) + ], + "created": 1687839008, + "id": "", + "model": "gpt-3.5-turbo-0301", + "object": "chat.completion", + "usage": DotDict({"completion_tokens": 18, "prompt_tokens": 57, "total_tokens": 75}), + } + ) def mock_openai_chat_function_completion_fn(**kwargs): - return { - "choices": [ - { - "finish_reason": "stop", - "index": 0, - "message": { - "role": "assistant", - "content": None, - "function_call": { - "name": "get_current_weather", - "arguments": '{\n "location": "Toronto, Canada",\n "format": "celsius"\n}', - }, - }, - } - ], - "created": 1687839008, - "id": "", - "model": "gpt-3.5-turbo-0301", - "object": "chat.completion", - "usage": {"completion_tokens": 18, "prompt_tokens": 57, "total_tokens": 75}, - } + return DotDict( + { + "choices": [ + DotDict( + { + "finish_reason": "stop", + "index": 0, + "message": DotDict( + { + "role": "assistant", + "content": None, + "function_call": DotDict( + { + "name": "get_current_weather", + "arguments": '{\n "location": "Toronto, Canada",\n "format": "celsius"\n}', + } + ), + } + ), + } + ) + ], + "created": 1687839008, + "id": "", + "model": "gpt-3.5-turbo-0301", + "object": "chat.completion", + "usage": DotDict({"completion_tokens": 18, "prompt_tokens": 57, "total_tokens": 75}), + } + ) def mock_openai_completion_fn(**kwargs): - return { - "id": "", - "object": "text_completion", - "created": 1589478378, - "model": "text-davinci-003", - "choices": [ - { - "text": json.dumps({"text": "George Washington"}), - "index": 0, - "logprobs": None, - "finish_reason": "length", - } - ], - "usage": {"prompt_tokens": 5, "completion_tokens": 7, "total_tokens": 12}, - } + return DotDict( + { + "id": "", + "object": "text_completion", + "created": 1589478378, + "model": "text-davinci-003", + "choices": [ + DotDict( + { + "text": json.dumps({"text": "George Washington"}), + "index": 0, + "logprobs": None, + "finish_reason": "length", + } + ) + ], + "usage": DotDict({"prompt_tokens": 5, "completion_tokens": 7, "total_tokens": 12}), + } + ) def mock_hf_completion_fn(**kwargs): From e7655ad9827295356a3c5407aff486a5ac935497 Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 8 Nov 2023 01:32:57 -0500 Subject: [PATCH 114/182] Fix OpenAI client init --- examples/prompttests/test_openai_chat.py | 5 ++--- prompttools/utils/autoeval.py | 2 +- prompttools/utils/autoeval_from_expected.py | 5 +++-- prompttools/utils/autoeval_with_docs.py | 4 +--- prompttools/utils/expected.py | 4 +--- 5 files changed, 8 insertions(+), 12 deletions(-) diff --git a/examples/prompttests/test_openai_chat.py b/examples/prompttests/test_openai_chat.py index c21a73be..47f71aae 100644 --- a/examples/prompttests/test_openai_chat.py +++ b/examples/prompttests/test_openai_chat.py @@ -14,9 +14,6 @@ from prompttools.mock.mock import mock_openai_completion_fn -client = OpenAI() - - if not (("OPENAI_API_KEY" in os.environ) or ("DEBUG" in os.environ)): print("Error: This example requires you to set either your OPENAI_API_KEY or DEBUG=1") exit(1) @@ -48,6 +45,7 @@ def json_completion_fn(prompt: str): if os.getenv("DEBUG", default=False): response = mock_openai_completion_fn(**{"prompt": prompt}) else: + client = OpenAI() response = client.completions.create(model="babbage-002", prompt=prompt) return response.choices[0].text @@ -65,6 +63,7 @@ def completion_fn(prompt: str): if os.getenv("DEBUG", default=False): response = mock_openai_completion_fn(**{"prompt": prompt}) else: + client = OpenAI() response = client.completions.create(prompt) return response.choices[0].text diff --git a/prompttools/utils/autoeval.py b/prompttools/utils/autoeval.py index 9cd3d956..2dc41674 100644 --- a/prompttools/utils/autoeval.py +++ b/prompttools/utils/autoeval.py @@ -23,7 +23,6 @@ RESPONSE: {{response}} ANSWER: """ -client = OpenAI() def _get_messages(prompt: str, response: str): @@ -49,6 +48,7 @@ def compute(prompt: str, response: str, model: str = "gpt-4") -> float: """ if not os.environ["OPENAI_API_KEY"]: raise PromptToolsUtilityError + client = OpenAI() evaluation = client.chat.completions.create(model=model, messages=_get_messages(prompt, response)) return 1.0 if "RIGHT" in evaluation.choices[0].message.content else 0.0 diff --git a/prompttools/utils/autoeval_from_expected.py b/prompttools/utils/autoeval_from_expected.py index cb16b39c..8dcdf616 100644 --- a/prompttools/utils/autoeval_from_expected.py +++ b/prompttools/utils/autoeval_from_expected.py @@ -27,8 +27,6 @@ ANSWER: """ -client = OpenAI() - def _get_messages(prompt: str, expected: str, response: str): environment = jinja2.Environment() @@ -53,6 +51,9 @@ def compute(prompt: str, expected: str, response: str, model: str = "gpt-4") -> """ if not os.environ["OPENAI_API_KEY"]: raise PromptToolsUtilityError("Missing API key for evaluation.") + global client + if client is None: + client = OpenAI() evaluation = client.chat.completions.create(model=model, messages=_get_messages(prompt, expected, response)) return 1.0 if "RIGHT" in evaluation.choices[0].message.content else 0.0 diff --git a/prompttools/utils/autoeval_with_docs.py b/prompttools/utils/autoeval_with_docs.py index 0cbd6963..f7962a91 100644 --- a/prompttools/utils/autoeval_with_docs.py +++ b/prompttools/utils/autoeval_with_docs.py @@ -27,9 +27,6 @@ """ -client = OpenAI() - - def _get_messages(documents: list[str], response: str): environment = jinja2.Environment() template = environment.from_string(EVALUATION_USER_TEMPLATE) @@ -52,6 +49,7 @@ def compute(documents: list[str], response: str, model: str = "gpt-4") -> float: """ if not os.environ["OPENAI_API_KEY"]: raise PromptToolsUtilityError + client = OpenAI() evaluation = client.chat.completions.create(model=model, messages=_get_messages(documents, response)) score_text = evaluation.choices[0].message.content return int(score_text) diff --git a/prompttools/utils/expected.py b/prompttools/utils/expected.py index aa2e07c5..6d8244dc 100644 --- a/prompttools/utils/expected.py +++ b/prompttools/utils/expected.py @@ -12,9 +12,6 @@ from . import similarity -client = OpenAI() - - def compute(prompt: str, model: str = "gpt-4") -> str: r""" Computes the expected result of a given prompt by using a high @@ -27,6 +24,7 @@ def compute(prompt: str, model: str = "gpt-4") -> str: """ if not os.environ["OPENAI_API_KEY"]: raise PromptToolsUtilityError + client = OpenAI() response = client.chat.completions.create(model=model, prompt=prompt) return response.choices[0].message.content From f1fcb37cf2be49d5e62bbea90da083c42b0e95c5 Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 8 Nov 2023 10:12:01 -0500 Subject: [PATCH 115/182] Update doc with new API --- docs/source/testing.rst | 4 ++-- docs/source/usage.rst | 12 ++++++------ 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/source/testing.rst b/docs/source/testing.rst index a53c04e7..cfb83f7d 100644 --- a/docs/source/testing.rst +++ b/docs/source/testing.rst @@ -24,8 +24,8 @@ so you can test prompts over time. For example: if os.getenv("DEBUG", default=False): response = mock_openai_completion_fn(**{"prompt": prompt}) else: - response = openai.Completion.create(prompt) - return response["choices"][0]["text"] + response = openai.completions.create(prompt) + return response.choices[0].text In the file, be sure to call the ``main()`` method of ``prompttest`` like you would for ``unittest``. diff --git a/docs/source/usage.rst b/docs/source/usage.rst index 7e211030..cb978821 100644 --- a/docs/source/usage.rst +++ b/docs/source/usage.rst @@ -27,17 +27,17 @@ evaluation function: pass prompt_templates = [ - "Answer the following question: {{input}}", + "Answer the following question: {{input}}", "Respond the following query: {{input}}" ] user_inputs = [ - {"input": "Who was the first president?"}, + {"input": "Who was the first president?"}, {"input": "Who was the first president of India?"} ] - harness = PromptTemplateExperimentationHarness("text-davinci-003", - prompt_templates, + harness = PromptTemplateExperimentationHarness("text-davinci-003", + prompt_templates, user_inputs) @@ -93,8 +93,8 @@ so you can test prompts over time. For example: if os.getenv("DEBUG", default=False): response = mock_openai_completion_fn(**{"prompt": prompt}) else: - response = openai.Completion.create(prompt) - return response["choices"][0]["text"] + response = openai.completions.create(prompt) + return response.choices[0].text The evaluation functions should accept one of the following as it's parameters: From 702d95863a7bb427e7c7147c1ca1b9a641ba12ef Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 8 Nov 2023 10:28:48 -0500 Subject: [PATCH 116/182] Fix expected eval function --- prompttools/utils/expected.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/prompttools/utils/expected.py b/prompttools/utils/expected.py index 6d8244dc..f9095e00 100644 --- a/prompttools/utils/expected.py +++ b/prompttools/utils/expected.py @@ -25,7 +25,12 @@ def compute(prompt: str, model: str = "gpt-4") -> str: if not os.environ["OPENAI_API_KEY"]: raise PromptToolsUtilityError client = OpenAI() - response = client.chat.completions.create(model=model, prompt=prompt) + response = client.chat.completions.create( + model=model, + messages=[ + {"role": "user", "content": prompt}, + ], + ) return response.choices[0].message.content From 9e5896d5c21ba1cfd9e05023e51d9b0514857833 Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 8 Nov 2023 10:30:19 -0500 Subject: [PATCH 117/182] Use global client for eval --- examples/prompttests/test_openai_chat.py | 10 +++------- prompttools/utils/autoeval.py | 5 ++--- prompttools/utils/autoeval_from_expected.py | 7 ++----- prompttools/utils/autoeval_with_docs.py | 5 ++--- prompttools/utils/expected.py | 5 ++--- 5 files changed, 11 insertions(+), 21 deletions(-) diff --git a/examples/prompttests/test_openai_chat.py b/examples/prompttests/test_openai_chat.py index 47f71aae..9aae33e9 100644 --- a/examples/prompttests/test_openai_chat.py +++ b/examples/prompttests/test_openai_chat.py @@ -5,7 +5,7 @@ # LICENSE file in the root directory of this source tree. import os -from openai import OpenAI +import openai import jinja2 from prompttools import prompttest from prompttools.prompttest.threshold_type import ThresholdType @@ -41,12 +41,10 @@ def create_prompt(): prompts=[create_json_prompt()], ) def json_completion_fn(prompt: str): - response = None if os.getenv("DEBUG", default=False): response = mock_openai_completion_fn(**{"prompt": prompt}) else: - client = OpenAI() - response = client.completions.create(model="babbage-002", prompt=prompt) + response = openai.completions.create(model="babbage-002", prompt=prompt) return response.choices[0].text @@ -59,12 +57,10 @@ def json_completion_fn(prompt: str): threshold_type=ThresholdType.MAXIMUM, ) def completion_fn(prompt: str): - response = None if os.getenv("DEBUG", default=False): response = mock_openai_completion_fn(**{"prompt": prompt}) else: - client = OpenAI() - response = client.completions.create(prompt) + response = openai.completions.create(model="babbage-002", prompt=prompt) return response.choices[0].text diff --git a/prompttools/utils/autoeval.py b/prompttools/utils/autoeval.py index 2dc41674..4eb9b86e 100644 --- a/prompttools/utils/autoeval.py +++ b/prompttools/utils/autoeval.py @@ -7,7 +7,7 @@ import os from typing import Dict -from openai import OpenAI +import openai import pandas.core.series import jinja2 from .error import PromptToolsUtilityError @@ -48,8 +48,7 @@ def compute(prompt: str, response: str, model: str = "gpt-4") -> float: """ if not os.environ["OPENAI_API_KEY"]: raise PromptToolsUtilityError - client = OpenAI() - evaluation = client.chat.completions.create(model=model, messages=_get_messages(prompt, response)) + evaluation = openai.chat.completions.create(model=model, messages=_get_messages(prompt, response)) return 1.0 if "RIGHT" in evaluation.choices[0].message.content else 0.0 diff --git a/prompttools/utils/autoeval_from_expected.py b/prompttools/utils/autoeval_from_expected.py index 8dcdf616..d8c692c0 100644 --- a/prompttools/utils/autoeval_from_expected.py +++ b/prompttools/utils/autoeval_from_expected.py @@ -6,7 +6,7 @@ import os -from openai import OpenAI +import openai import jinja2 import pandas from .error import PromptToolsUtilityError @@ -51,10 +51,7 @@ def compute(prompt: str, expected: str, response: str, model: str = "gpt-4") -> """ if not os.environ["OPENAI_API_KEY"]: raise PromptToolsUtilityError("Missing API key for evaluation.") - global client - if client is None: - client = OpenAI() - evaluation = client.chat.completions.create(model=model, messages=_get_messages(prompt, expected, response)) + evaluation = openai.chat.completions.create(model=model, messages=_get_messages(prompt, expected, response)) return 1.0 if "RIGHT" in evaluation.choices[0].message.content else 0.0 diff --git a/prompttools/utils/autoeval_with_docs.py b/prompttools/utils/autoeval_with_docs.py index f7962a91..7abd4c39 100644 --- a/prompttools/utils/autoeval_with_docs.py +++ b/prompttools/utils/autoeval_with_docs.py @@ -6,7 +6,7 @@ import os -from openai import OpenAI +import openai import pandas.core.series import jinja2 from .error import PromptToolsUtilityError @@ -49,8 +49,7 @@ def compute(documents: list[str], response: str, model: str = "gpt-4") -> float: """ if not os.environ["OPENAI_API_KEY"]: raise PromptToolsUtilityError - client = OpenAI() - evaluation = client.chat.completions.create(model=model, messages=_get_messages(documents, response)) + evaluation = openai.chat.completions.create(model=model, messages=_get_messages(documents, response)) score_text = evaluation.choices[0].message.content return int(score_text) diff --git a/prompttools/utils/expected.py b/prompttools/utils/expected.py index f9095e00..b898c0a9 100644 --- a/prompttools/utils/expected.py +++ b/prompttools/utils/expected.py @@ -6,7 +6,7 @@ import os -from openai import OpenAI +import openai import pandas.core.series from .error import PromptToolsUtilityError from . import similarity @@ -24,8 +24,7 @@ def compute(prompt: str, model: str = "gpt-4") -> str: """ if not os.environ["OPENAI_API_KEY"]: raise PromptToolsUtilityError - client = OpenAI() - response = client.chat.completions.create( + response = openai.chat.completions.create( model=model, messages=[ {"role": "user", "content": prompt}, From f04af3f5ebd7f3f99b4d58770f3a37641f4962dc Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 9 Nov 2023 12:41:54 -0500 Subject: [PATCH 118/182] Fix OpenAI function call extract condition --- prompttools/experiment/experiments/openai_chat_experiment.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index a8a8ecae..e153fa62 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -177,7 +177,7 @@ def __init__( @staticmethod def _extract_responses(output: openai.types.Completion) -> str: message = output.choices[0].message - if hasattr(message, "function_call"): + if hasattr(message, "function_call") and message.function_call is not None: return json.dumps(json.loads(message.function_call.arguments)) else: return message.content From acaff26bdf33d106b3d05d5cc296f2fa4c0cf085 Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 9 Nov 2023 12:42:13 -0500 Subject: [PATCH 119/182] Dump OpenAI results as dict --- prompttools/experiment/experiments/experiment.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/prompttools/experiment/experiments/experiment.py b/prompttools/experiment/experiments/experiment.py index 41ee2d5f..deaf5996 100644 --- a/prompttools/experiment/experiments/experiment.py +++ b/prompttools/experiment/experiments/experiment.py @@ -250,6 +250,10 @@ def _construct_result_dfs( result_df = response_df else: # Handle the case where `input_arg_df` has the same column names as `result_df` + try: + results = [r.model_dump() for r in results] # For turing OpenAI response in to dict + except Exception: + pass result_df = pd.DataFrame(results) common_columns = set(input_arg_df.columns) & set(result_df.columns) result_df = result_df.add_prefix("response_") if common_columns else result_df From 1345ed0a109b81d77420e6d9bf6bd5abe641f9aa Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 9 Nov 2023 14:02:47 -0500 Subject: [PATCH 120/182] Update visualization for harnesses --- .../harness/chat_prompt_template_harness.py | 35 ++++++++++++++++++ .../harness/model_comparison_harness.py | 24 +++++++++---- prompttools/harness/system_prompt_harness.py | 36 +++++++++++++++++++ 3 files changed, 89 insertions(+), 6 deletions(-) diff --git a/prompttools/harness/chat_prompt_template_harness.py b/prompttools/harness/chat_prompt_template_harness.py index 5a48f725..af735462 100644 --- a/prompttools/harness/chat_prompt_template_harness.py +++ b/prompttools/harness/chat_prompt_template_harness.py @@ -11,6 +11,10 @@ from .harness import ExperimentationHarness, Experiment from typing import Optional from copy import deepcopy +from .utility import is_interactive +from IPython import display +from tabulate import tabulate +import logging def _render_messages_openai_chat(message_template: list[dict], user_input: dict, environment): @@ -95,6 +99,37 @@ def run(self): self.experiment.partial_df.reset_index(drop=True, inplace=True) self.experiment.partial_df = pd.concat([user_input_df, self.experiment.partial_df], axis=1) + def get_table(self, get_all_cols: bool = False) -> pd.DataFrame: + columns_to_hide = [ + "stream", + "response_id", + "response_choices", + "response_created", + "response_created", + "response_object", + "response_model", + "response_system_fingerprint", + "revision_id", + "log_id", + ] + + if get_all_cols: + return self.full_df + else: + table = self.full_df + for col in columns_to_hide: + if col in table.columns: + table = table.drop(col, axis=1) + return table + + def visualize(self, get_all_cols: bool = False): + table = self.get_table(get_all_cols) + if is_interactive(): + display.display(table) + else: + logging.getLogger().setLevel(logging.INFO) + logging.info(tabulate(table, headers="keys", tablefmt="psql")) + def _get_state(self): state_params = { "experiment_cls_constructor": self.experiment_cls_constructor, diff --git a/prompttools/harness/model_comparison_harness.py b/prompttools/harness/model_comparison_harness.py index 3ea3ad89..636eae77 100644 --- a/prompttools/harness/model_comparison_harness.py +++ b/prompttools/harness/model_comparison_harness.py @@ -121,10 +121,27 @@ def evaluate(self, metric_name: str, eval_fn: Callable, static_eval_fn_kwargs: d self._update_dfs() def get_table(self, get_all_cols: bool = False) -> pd.DataFrame: + columns_to_hide = [ + "stream", + "response_id", + "response_choices", + "response_created", + "response_created", + "response_object", + "response_model", + "response_system_fingerprint", + "revision_id", + "log_id", + ] + if get_all_cols: return self.full_df else: - return self.partial_df + table = self.full_df + for col in columns_to_hide: + if col in table.columns: + table = table.drop(col, axis=1) + return table def _update_dfs(self): self._full_df = pd.concat([exp.full_df for exp in self.experiments], axis=0, ignore_index=True) @@ -172,11 +189,6 @@ def _load_state(cls, state, experiment_id: str, revision_id: str, experiment_typ model_arguments = state_params["model_arguments"] child_experiment_states = state_params["child_experiment_states"] - for i, state in enumerate(child_experiment_states): - print(f"{i = }") - print(f"{state[0] = }") - print(f"{state[1] = }") - harness = cls(model_names, system_prompts, user_messages, model_arguments) harness.experiments = [ OpenAIChatExperiment._load_state(state, None, None, OpenAIChatExperiment._experiment_type) diff --git a/prompttools/harness/system_prompt_harness.py b/prompttools/harness/system_prompt_harness.py index 1f356880..6e1c4393 100644 --- a/prompttools/harness/system_prompt_harness.py +++ b/prompttools/harness/system_prompt_harness.py @@ -6,6 +6,11 @@ from typing import Dict, List, Optional, Type from .harness import ExperimentationHarness, Experiment +import pandas as pd +from .utility import is_interactive +from IPython import display +from tabulate import tabulate +import logging class SystemPromptExperimentationHarness(ExperimentationHarness): @@ -117,3 +122,34 @@ def _load_state(cls, state, experiment_id: str, revision_id: str, experiment_typ harness._revision_id = revision_id print("Loaded harness.") return harness + + def get_table(self, get_all_cols: bool = False) -> pd.DataFrame: + columns_to_hide = [ + "stream", + "response_id", + "response_choices", + "response_created", + "response_created", + "response_object", + "response_model", + "response_system_fingerprint", + "revision_id", + "log_id", + ] + + if get_all_cols: + return self.full_df + else: + table = self.full_df + for col in columns_to_hide: + if col in table.columns: + table = table.drop(col, axis=1) + return table + + def visualize(self, get_all_cols: bool = False): + table = self.get_table(get_all_cols) + if is_interactive(): + display.display(table) + else: + logging.getLogger().setLevel(logging.INFO) + logging.info(tabulate(table, headers="keys", tablefmt="psql")) From 4cbc223662aaeaf3e0b3bb39a82b166f8a035fc6 Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 9 Nov 2023 14:09:28 -0500 Subject: [PATCH 121/182] Update harness to allow clearing of previous results --- prompttools/harness/chat_prompt_template_harness.py | 4 ++-- prompttools/harness/harness.py | 4 ++-- prompttools/harness/model_comparison_harness.py | 4 ++-- prompttools/harness/system_prompt_harness.py | 4 ++-- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/prompttools/harness/chat_prompt_template_harness.py b/prompttools/harness/chat_prompt_template_harness.py index af735462..566eaa6d 100644 --- a/prompttools/harness/chat_prompt_template_harness.py +++ b/prompttools/harness/chat_prompt_template_harness.py @@ -77,10 +77,10 @@ def prepare(self) -> None: ) super().prepare() - def run(self): + def run(self, clear_previous_results: bool = False): if not self.experiment: self.prepare() - super().run() + super().run(clear_previous_results=clear_previous_results) # Add user inputs to DataFrame if len(self.experiment.full_df) > 0: diff --git a/prompttools/harness/harness.py b/prompttools/harness/harness.py index 8f51040d..4f547de7 100644 --- a/prompttools/harness/harness.py +++ b/prompttools/harness/harness.py @@ -39,11 +39,11 @@ def prepare(self) -> None: """ self.experiment.prepare() - def run(self) -> None: + def run(self, clear_previous_results: bool = False) -> None: r""" Runs the underlying experiment. """ - self.experiment.run(runs=self.runs) + self.experiment.run(runs=self.runs, clear_previous_results=clear_previous_results) def evaluate(self, metric_name: str, eval_fn: Callable, static_eval_fn_kwargs: dict = {}, **eval_fn_kwargs) -> None: r""" diff --git a/prompttools/harness/model_comparison_harness.py b/prompttools/harness/model_comparison_harness.py index 636eae77..69a63998 100644 --- a/prompttools/harness/model_comparison_harness.py +++ b/prompttools/harness/model_comparison_harness.py @@ -103,11 +103,11 @@ def partial_df(self): def score_df(self): return self._score_df - def run(self): + def run(self, clear_previous_results: bool = False): if not self.experiments: self.prepare() for exp in self.experiments: - exp.run() + exp.run(clear_previous_results=clear_previous_results) self._update_dfs() def evaluate(self, metric_name: str, eval_fn: Callable, static_eval_fn_kwargs: dict = {}, **eval_fn_kwargs) -> None: diff --git a/prompttools/harness/system_prompt_harness.py b/prompttools/harness/system_prompt_harness.py index 6e1c4393..58520162 100644 --- a/prompttools/harness/system_prompt_harness.py +++ b/prompttools/harness/system_prompt_harness.py @@ -74,10 +74,10 @@ def prepare(self) -> None: ) super().prepare() - def run(self): + def run(self, clear_previous_results: bool = False): if not self.experiment: self.prepare() - super().run() + super().run(clear_previous_results=clear_previous_results) def _get_state(self): state_params = { From 7eb5b2b8928b5aa33ecc562f69b020fbd6b40f7b Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 9 Nov 2023 14:09:37 -0500 Subject: [PATCH 122/182] Update notebook examples --- ..._Loading_ExperimentHarness_to_Remote.ipynb | 1515 ++++++++--------- 1 file changed, 672 insertions(+), 843 deletions(-) diff --git a/examples/notebooks/remote/Saving_and_Loading_ExperimentHarness_to_Remote.ipynb b/examples/notebooks/remote/Saving_and_Loading_ExperimentHarness_to_Remote.ipynb index 3a18bd09..6d92cc01 100644 --- a/examples/notebooks/remote/Saving_and_Loading_ExperimentHarness_to_Remote.ipynb +++ b/examples/notebooks/remote/Saving_and_Loading_ExperimentHarness_to_Remote.ipynb @@ -4,7 +4,9 @@ "cell_type": "code", "execution_count": 1, "id": "0921cecc", - "metadata": {}, + "metadata": { + "is_executing": true + }, "outputs": [], "source": [ "from prompttools.experiment import OpenAIChatExperiment\n", @@ -54,7 +56,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "id": "6f5d85de", "metadata": {}, "outputs": [ @@ -80,8 +82,15 @@ " \n", " \n", " user_inputs\n", + " model\n", " messages\n", + " temperature\n", + " top_p\n", + " n\n", + " presence_penalty\n", + " frequency_penalty\n", " response\n", + " response_usage\n", " latency\n", " \n", " \n", @@ -89,41 +98,69 @@ " \n", " 0\n", " {'input': 'first'}\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " 1.197017\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first president of the United States was George Washington. He served two terms from 1789 to 1797.\n", + " {'completion_tokens': 24, 'prompt_tokens': 23, 'total_tokens': 47}\n", + " 1.251051\n", " \n", " \n", " 1\n", " {'input': 'second'}\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}]\n", - " The second president of the United States was John Adams.\n", - " 0.479534\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The second president of the United States was John Adams. He served from 1797 to 1801.\n", + " {'completion_tokens': 22, 'prompt_tokens': 23, 'total_tokens': 45}\n", + " 0.949733\n", " \n", " \n", " 2\n", " {'input': 'first'}\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]\n", - " The first Vice President of the United States was John Adams, serving under President George Washington from 1789 to 1797.\n", - " 0.806056\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797.\n", + " {'completion_tokens': 30, 'prompt_tokens': 24, 'total_tokens': 54}\n", + " 0.936664\n", " \n", " \n", " 3\n", " {'input': 'second'}\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}]\n", - " The second Vice President of the United States was Thomas Jefferson, serving under President John Adams from 1797 to 1801.\n", - " 1.065417\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The second vice president of the United States was Thomas Jefferson. He served as vice president from 1797 to 1801 under President John Adams.\n", + " {'completion_tokens': 30, 'prompt_tokens': 24, 'total_tokens': 54}\n", + " 0.971230\n", " \n", " \n", "\n", "" ], "text/plain": [ - " user_inputs \\\n", - "0 {'input': 'first'} \n", - "1 {'input': 'second'} \n", - "2 {'input': 'first'} \n", - "3 {'input': 'second'} \n", + " user_inputs model \\\n", + "0 {'input': 'first'} gpt-3.5-turbo \n", + "1 {'input': 'second'} gpt-3.5-turbo \n", + "2 {'input': 'first'} gpt-3.5-turbo \n", + "3 {'input': 'second'} gpt-3.5-turbo \n", "\n", " messages \\\n", "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", @@ -131,17 +168,29 @@ "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}] \n", "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The second president of the United States was John Adams. \n", - "2 The first Vice President of the United States was John Adams, serving under President George Washington from 1789 to 1797. \n", - "3 The second Vice President of the United States was Thomas Jefferson, serving under President John Adams from 1797 to 1801. \n", + " temperature top_p n presence_penalty frequency_penalty \\\n", + "0 1.0 1.0 1 0.0 0.0 \n", + "1 1.0 1.0 1 0.0 0.0 \n", + "2 1.0 1.0 1 0.0 0.0 \n", + "3 1.0 1.0 1 0.0 0.0 \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served two terms from 1789 to 1797. \n", + "1 The second president of the United States was John Adams. He served from 1797 to 1801. \n", + "2 The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797. \n", + "3 The second vice president of the United States was Thomas Jefferson. He served as vice president from 1797 to 1801 under President John Adams. \n", + "\n", + " response_usage \\\n", + "0 {'completion_tokens': 24, 'prompt_tokens': 23, 'total_tokens': 47} \n", + "1 {'completion_tokens': 22, 'prompt_tokens': 23, 'total_tokens': 45} \n", + "2 {'completion_tokens': 30, 'prompt_tokens': 24, 'total_tokens': 54} \n", + "3 {'completion_tokens': 30, 'prompt_tokens': 24, 'total_tokens': 54} \n", "\n", " latency \n", - "0 1.197017 \n", - "1 0.479534 \n", - "2 0.806056 \n", - "3 1.065417 " + "0 1.251051 \n", + "1 0.949733 \n", + "2 0.936664 \n", + "3 0.971230 " ] }, "metadata": {}, @@ -156,7 +205,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "id": "dca05d0e", "metadata": {}, "outputs": [ @@ -175,7 +224,7 @@ "" ] }, - "execution_count": 6, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -194,50 +243,29 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "id": "da6b96a2", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sending HTTP GET request...\n", + "Loaded experiment.\n", + "Loaded harness.\n" + ] + } + ], "source": [ "harness_from_load = ChatPromptTemplateExperimentationHarness.load_experiment(harness._experiment_id)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "243ff097", "metadata": {}, - "outputs": [], - "source": [ - "harness_from_load.visualize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "eac45d4d", - "metadata": {}, - "outputs": [], - "source": [ - "harness_from_load.run()\n", - "harness_from_load.visualize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "eaa30c25", - "metadata": {}, - "outputs": [], - "source": [ - "harness_from_load.experiment.run()" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "feb04ffb", - "metadata": {}, "outputs": [ { "data": { @@ -260,20 +288,15 @@ " \n", " \n", " \n", + " user_inputs\n", " model\n", " messages\n", " temperature\n", " top_p\n", " n\n", - " stream\n", " presence_penalty\n", " frequency_penalty\n", " response\n", - " response_id\n", - " response_object\n", - " response_created\n", - " response_model\n", - " response_choices\n", " response_usage\n", " latency\n", " \n", @@ -281,575 +304,100 @@ " \n", " \n", " 0\n", + " {'input': 'first'}\n", " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " 1.0\n", " 1.0\n", " 1\n", - " False\n", - " 0.0\n", - " 0.0\n", - " The first president of the United States was George Washington.\n", - " chatcmpl-8F4wN02YkqM8t17K8Jz8UliEEYY7F\n", - " chat.completion\n", - " 1698604603\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}\n", - " 0.829433\n", - " \n", - " \n", - " 1\n", - " gpt-3.5-turbo\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}]\n", - " 1.0\n", - " 1.0\n", - " 1\n", - " False\n", - " 0.0\n", - " 0.0\n", - " The second president of the United States was John Adams.\n", - " chatcmpl-8F4wOBz1Fnv0snkIIjsgWDYCJbCFN\n", - " chat.completion\n", - " 1698604604\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second president of the United States was John Adams.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}\n", - " 0.712007\n", - " \n", - " \n", - " 2\n", - " gpt-3.5-turbo\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]\n", - " 1.0\n", - " 1.0\n", - " 1\n", - " False\n", - " 0.0\n", - " 0.0\n", - " The first vice president of the United States was John Adams. He served under President George Washington from 1789 to 1797.\n", - " chatcmpl-8F4wOTBLjCC9dnI29Jyi8ol3UPw7R\n", - " chat.completion\n", - " 1698604604\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first vice president of the United States was John Adams. He served under President George Washington from 1789 to 1797.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 24, 'completion_tokens': 27, 'total_tokens': 51}\n", - " 1.023236\n", - " \n", - " \n", - " 3\n", - " gpt-3.5-turbo\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}]\n", - " 1.0\n", - " 1.0\n", - " 1\n", - " False\n", - " 0.0\n", - " 0.0\n", - " The second Vice President of the United States was Thomas Jefferson. He served as Vice President under President John Adams from 1797 to 1801.\n", - " chatcmpl-8F4wQoEXOUtRbwj4B5xgr7HrlWfoO\n", - " chat.completion\n", - " 1698604606\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second Vice President of the United States was Thomas Jefferson. He served as Vice President under President John Adams from 1797 to 1801.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 24, 'completion_tokens': 30, 'total_tokens': 54}\n", - " 1.333316\n", - " \n", - " \n", - " 0\n", - " gpt-3.5-turbo\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " 1.0\n", - " 1.0\n", - " 1\n", - " False\n", - " 0.0\n", - " 0.0\n", - " The first president of the United States was George Washington. He served from 1789-1797.\n", - " chatcmpl-8F4wa7MquDquowetG3AIQomJqJlgG\n", - " chat.completion\n", - " 1698604616\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served from 1789-1797.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 23, 'completion_tokens': 21, 'total_tokens': 44}\n", - " 0.853307\n", - " \n", - " \n", - " 1\n", - " gpt-3.5-turbo\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}]\n", - " 1.0\n", - " 1.0\n", - " 1\n", - " False\n", - " 0.0\n", - " 0.0\n", - " The second president of the United States was John Adams.\n", - " chatcmpl-8F4wbktfasTPH3OmSnzK0ElmbNW19\n", - " chat.completion\n", - " 1698604617\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second president of the United States was John Adams.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}\n", - " 0.717581\n", - " \n", - " \n", - " 2\n", - " gpt-3.5-turbo\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]\n", - " 1.0\n", - " 1.0\n", - " 1\n", - " False\n", - " 0.0\n", - " 0.0\n", - " The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797.\n", - " chatcmpl-8F4wb39Imx8WTTcrP6GPLDfzJ1fN5\n", - " chat.completion\n", - " 1698604617\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 24, 'completion_tokens': 30, 'total_tokens': 54}\n", - " 1.124732\n", - " \n", - " \n", - " 3\n", - " gpt-3.5-turbo\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}]\n", - " 1.0\n", - " 1.0\n", - " 1\n", - " False\n", - " 0.0\n", - " 0.0\n", - " The second Vice President of the United States was Thomas Jefferson, serving from 1797 to 1801 under President John Adams.\n", - " chatcmpl-8F4wc5lSprgny70aSqHQLP58gMWCR\n", - " chat.completion\n", - " 1698604618\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second Vice President of the United States was Thomas Jefferson, serving from 1797 to 1801 under President John Adams.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 24, 'completion_tokens': 26, 'total_tokens': 50}\n", - " 0.715227\n", - " \n", - " \n", - " 0\n", - " gpt-3.5-turbo\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " 1.0\n", - " 1.0\n", - " 1\n", - " False\n", - " 0.0\n", - " 0.0\n", - " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " chatcmpl-8F4xSEJkYZ8YqC9K9CJ9IfUHj4k3C\n", - " chat.completion\n", - " 1698604670\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as president from 1789 to 1797.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47}\n", - " 0.946845\n", - " \n", - " \n", - " 1\n", - " gpt-3.5-turbo\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}]\n", - " 1.0\n", - " 1.0\n", - " 1\n", - " False\n", - " 0.0\n", - " 0.0\n", - " The second president of the United States was John Adams.\n", - " chatcmpl-8F4xTjgZqWNoYUvvEduczKmSBhEgm\n", - " chat.completion\n", - " 1698604671\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second president of the United States was John Adams.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34}\n", - " 0.716422\n", - " \n", - " \n", - " 2\n", - " gpt-3.5-turbo\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]\n", - " 1.0\n", - " 1.0\n", - " 1\n", - " False\n", - " 0.0\n", - " 0.0\n", - " The first Vice President of the United States was John Adams. He served from 1789 to 1797 under President George Washington.\n", - " chatcmpl-8F4xUdAiuVAZ5c7M40KdAQM88GAqN\n", - " chat.completion\n", - " 1698604672\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first Vice President of the United States was John Adams. He served from 1789 to 1797 under President George Washington.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 24, 'completion_tokens': 27, 'total_tokens': 51}\n", - " 1.031161\n", - " \n", - " \n", - " 3\n", - " gpt-3.5-turbo\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}]\n", - " 1.0\n", - " 1.0\n", - " 1\n", - " False\n", - " 0.0\n", - " 0.0\n", - " The second vice president of the United States was Thomas Jefferson.\n", - " chatcmpl-8F4xVmrsfR17Tn4NbNJiYvsrQ12T7\n", - " chat.completion\n", - " 1698604673\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second vice president of the United States was Thomas Jefferson.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 24, 'completion_tokens': 12, 'total_tokens': 36}\n", - " 0.712583\n", - " \n", - " \n", - " 0\n", - " gpt-3.5-turbo\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " 1.0\n", - " 1.0\n", - " 1\n", - " False\n", " 0.0\n", " 0.0\n", - " The first president of the United States was George Washington. He served as the country's president from 1789 to 1797.\n", - " chatcmpl-8F4xZXe1bYYMs6Fvdzshgy71j5AuT\n", - " chat.completion\n", - " 1698604677\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first president of the United States was George Washington. He served as the country's president from 1789 to 1797.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 23, 'completion_tokens': 27, 'total_tokens': 50}\n", - " 1.026579\n", + " The first president of the United States was George Washington. He served two terms from 1789 to 1797.\n", + " {'completion_tokens': 24, 'prompt_tokens': 23, 'total_tokens': 47}\n", + " 1.251051\n", " \n", " \n", " 1\n", + " {'input': 'second'}\n", " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}]\n", " 1.0\n", " 1.0\n", " 1\n", - " False\n", " 0.0\n", " 0.0\n", - " The second president of the United States was John Adams, serving from 1797 to 1801.\n", - " chatcmpl-8F4xa3vbyy0Tmo9sRapQ0AW8dyeAp\n", - " chat.completion\n", - " 1698604678\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second president of the United States was John Adams, serving from 1797 to 1801.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 23, 'completion_tokens': 21, 'total_tokens': 44}\n", - " 0.922105\n", + " The second president of the United States was John Adams. He served from 1797 to 1801.\n", + " {'completion_tokens': 22, 'prompt_tokens': 23, 'total_tokens': 45}\n", + " 0.949733\n", " \n", " \n", " 2\n", + " {'input': 'first'}\n", " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]\n", " 1.0\n", " 1.0\n", " 1\n", - " False\n", " 0.0\n", " 0.0\n", " The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797.\n", - " chatcmpl-8F4xbKCF97VHxoeuzuno4YUoQuovl\n", - " chat.completion\n", - " 1698604679\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 24, 'completion_tokens': 30, 'total_tokens': 54}\n", - " 0.921220\n", + " {'completion_tokens': 30, 'prompt_tokens': 24, 'total_tokens': 54}\n", + " 0.936664\n", " \n", " \n", " 3\n", + " {'input': 'second'}\n", " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}]\n", " 1.0\n", " 1.0\n", " 1\n", - " False\n", " 0.0\n", " 0.0\n", - " The second Vice President of the United States was Thomas Jefferson. He served under President John Adams from 1797 to 1801.\n", - " chatcmpl-8F4xbdIvxnae3r0jiYPQGcpKe7hmW\n", - " chat.completion\n", - " 1698604679\n", - " gpt-3.5-turbo-0613\n", - " [{'index': 0, 'message': {'role': 'assistant', 'content': 'The second Vice President of the United States was Thomas Jefferson. He served under President John Adams from 1797 to 1801.'}, 'finish_reason': 'stop'}]\n", - " {'prompt_tokens': 24, 'completion_tokens': 27, 'total_tokens': 51}\n", - " 0.925952\n", + " The second vice president of the United States was Thomas Jefferson. He served as vice president from 1797 to 1801 under President John Adams.\n", + " {'completion_tokens': 30, 'prompt_tokens': 24, 'total_tokens': 54}\n", + " 0.971230\n", " \n", " \n", "\n", "" ], "text/plain": [ - " model \\\n", - "0 gpt-3.5-turbo \n", - "1 gpt-3.5-turbo \n", - "2 gpt-3.5-turbo \n", - "3 gpt-3.5-turbo \n", - "0 gpt-3.5-turbo \n", - "1 gpt-3.5-turbo \n", - "2 gpt-3.5-turbo \n", - "3 gpt-3.5-turbo \n", - "0 gpt-3.5-turbo \n", - "1 gpt-3.5-turbo \n", - "2 gpt-3.5-turbo \n", - "3 gpt-3.5-turbo \n", - "0 gpt-3.5-turbo \n", - "1 gpt-3.5-turbo \n", - "2 gpt-3.5-turbo \n", - "3 gpt-3.5-turbo \n", + " user_inputs model \\\n", + "0 {'input': 'first'} gpt-3.5-turbo \n", + "1 {'input': 'second'} gpt-3.5-turbo \n", + "2 {'input': 'first'} gpt-3.5-turbo \n", + "3 {'input': 'second'} gpt-3.5-turbo \n", "\n", " messages \\\n", "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}] \n", "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}] \n", - "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}] \n", - "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", - "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}] \n", - "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}] \n", - "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", - "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}] \n", - "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}] \n", - "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", - "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}] \n", "\n", - " temperature top_p n stream presence_penalty frequency_penalty \\\n", - "0 1.0 1.0 1 False 0.0 0.0 \n", - "1 1.0 1.0 1 False 0.0 0.0 \n", - "2 1.0 1.0 1 False 0.0 0.0 \n", - "3 1.0 1.0 1 False 0.0 0.0 \n", - "0 1.0 1.0 1 False 0.0 0.0 \n", - "1 1.0 1.0 1 False 0.0 0.0 \n", - "2 1.0 1.0 1 False 0.0 0.0 \n", - "3 1.0 1.0 1 False 0.0 0.0 \n", - "0 1.0 1.0 1 False 0.0 0.0 \n", - "1 1.0 1.0 1 False 0.0 0.0 \n", - "2 1.0 1.0 1 False 0.0 0.0 \n", - "3 1.0 1.0 1 False 0.0 0.0 \n", - "0 1.0 1.0 1 False 0.0 0.0 \n", - "1 1.0 1.0 1 False 0.0 0.0 \n", - "2 1.0 1.0 1 False 0.0 0.0 \n", - "3 1.0 1.0 1 False 0.0 0.0 \n", + " temperature top_p n presence_penalty frequency_penalty \\\n", + "0 1.0 1.0 1 0.0 0.0 \n", + "1 1.0 1.0 1 0.0 0.0 \n", + "2 1.0 1.0 1 0.0 0.0 \n", + "3 1.0 1.0 1 0.0 0.0 \n", "\n", " response \\\n", - "0 The first president of the United States was George Washington. \n", - "1 The second president of the United States was John Adams. \n", - "2 The first vice president of the United States was John Adams. He served under President George Washington from 1789 to 1797. \n", - "3 The second Vice President of the United States was Thomas Jefferson. He served as Vice President under President John Adams from 1797 to 1801. \n", - "0 The first president of the United States was George Washington. He served from 1789-1797. \n", - "1 The second president of the United States was John Adams. \n", - "2 The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797. \n", - "3 The second Vice President of the United States was Thomas Jefferson, serving from 1797 to 1801 under President John Adams. \n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The second president of the United States was John Adams. \n", - "2 The first Vice President of the United States was John Adams. He served from 1789 to 1797 under President George Washington. \n", - "3 The second vice president of the United States was Thomas Jefferson. \n", - "0 The first president of the United States was George Washington. He served as the country's president from 1789 to 1797. \n", - "1 The second president of the United States was John Adams, serving from 1797 to 1801. \n", + "0 The first president of the United States was George Washington. He served two terms from 1789 to 1797. \n", + "1 The second president of the United States was John Adams. He served from 1797 to 1801. \n", "2 The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797. \n", - "3 The second Vice President of the United States was Thomas Jefferson. 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He served as vice president from 1797 to 1801 under President John Adams. \n", "\n", " response_usage \\\n", - "0 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", - "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", - "2 {'prompt_tokens': 24, 'completion_tokens': 27, 'total_tokens': 51} \n", - "3 {'prompt_tokens': 24, 'completion_tokens': 30, 'total_tokens': 54} \n", - "0 {'prompt_tokens': 23, 'completion_tokens': 21, 'total_tokens': 44} \n", - "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", - "2 {'prompt_tokens': 24, 'completion_tokens': 30, 'total_tokens': 54} \n", - "3 {'prompt_tokens': 24, 'completion_tokens': 26, 'total_tokens': 50} \n", - "0 {'prompt_tokens': 23, 'completion_tokens': 24, 'total_tokens': 47} \n", - "1 {'prompt_tokens': 23, 'completion_tokens': 11, 'total_tokens': 34} \n", - "2 {'prompt_tokens': 24, 'completion_tokens': 27, 'total_tokens': 51} \n", - "3 {'prompt_tokens': 24, 'completion_tokens': 12, 'total_tokens': 36} \n", - "0 {'prompt_tokens': 23, 'completion_tokens': 27, 'total_tokens': 50} \n", - "1 {'prompt_tokens': 23, 'completion_tokens': 21, 'total_tokens': 44} \n", - "2 {'prompt_tokens': 24, 'completion_tokens': 30, 'total_tokens': 54} \n", - "3 {'prompt_tokens': 24, 'completion_tokens': 27, 'total_tokens': 51} \n", + "0 {'completion_tokens': 24, 'prompt_tokens': 23, 'total_tokens': 47} \n", + "1 {'completion_tokens': 22, 'prompt_tokens': 23, 'total_tokens': 45} \n", + "2 {'completion_tokens': 30, 'prompt_tokens': 24, 'total_tokens': 54} \n", + "3 {'completion_tokens': 30, 'prompt_tokens': 24, 'total_tokens': 54} \n", "\n", " latency \n", - "0 0.829433 \n", - "1 0.712007 \n", - "2 1.023236 \n", - "3 1.333316 \n", - "0 0.853307 \n", - "1 0.717581 \n", - "2 1.124732 \n", - "3 0.715227 \n", - "0 0.946845 \n", - "1 0.716422 \n", - "2 1.031161 \n", - "3 0.712583 \n", - "0 1.026579 \n", - "1 0.922105 \n", - "2 0.921220 \n", - "3 0.925952 " - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "harness_from_load.experiment.full_df" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "f72c4024", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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0{'input': 'first'}[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797.1.023014
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Adams served as Vice President from 1789 to 1797, during President George Washington's administration. \n", - "3 The second Vice President of the United States was Thomas Jefferson. He served as Vice President from 1797 to 1801, under President John Adams. \n", - "\n", - " latency \n", - "0 0.551219 \n", - "1 0.510815 \n", - "2 1.535680 \n", - "3 0.921390 " - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "harness.experiment.partial_df" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "afc8e067", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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user_inputsmessagesresponselatency
0{'input': 'first'}[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]The first president of the United States was George Washington. He served as president from 1789 to 1797.1.023014
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3{'input': 'second'}[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}]The second Vice President of the United States was Thomas Jefferson. He served as Vice President under President John Adams from 1797 to 1801.0.923946
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He served as vice president under President John Adams from 1797 to 1801. \n", + "\n", + " response_usage \\\n", + "0 {'completion_tokens': 11, 'prompt_tokens': 23, 'total_tokens': 34} \n", + "1 {'completion_tokens': 11, 'prompt_tokens': 23, 'total_tokens': 34} \n", + "2 {'completion_tokens': 26, 'prompt_tokens': 24, 'total_tokens': 50} \n", + "3 {'completion_tokens': 30, 'prompt_tokens': 24, 'total_tokens': 54} \n", "\n", " latency \n", - "0 1.023014 \n", - "1 2.899930 \n", - "2 1.023490 \n", - "3 0.923946 " + "0 0.744072 \n", + "1 0.613869 \n", + "2 1.126319 \n", + "3 1.534311 " ] }, - "execution_count": 17, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "harness_from_load.experiment.partial_df" + "harness_from_load.run(clear_previous_results=True) # You can set to `False` to persist previous results\n", + "harness_from_load.visualize()" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "19f2f8a3", - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "id": "2ebbc052", @@ -1124,58 +610,111 @@ " \n", " \n", " \n", + " model\n", " messages\n", + " temperature\n", + " top_p\n", + " n\n", + " presence_penalty\n", + " frequency_penalty\n", " response\n", + " response_usage\n", " latency\n", " \n", " \n", " \n", " \n", " 0\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington. 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He served under President George Washington from 1789 to 1797.\n", + " {'completion_tokens': 27, 'prompt_tokens': 24, 'total_tokens': 51}\n", + " 1.012878\n", " \n", " \n", " 2\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington. He served as president from 1789 to 1797 and played a crucial role in establishing many of the practices and institutions that still exist in our country today.\n", - " 1.434122\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first president of the United States was George Washington. He was elected in 1788 and served two terms from 1789 to 1797.\n", + " {'completion_tokens': 31, 'prompt_tokens': 27, 'total_tokens': 58}\n", + " 1.540456\n", " \n", " \n", " 3\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]\n", - " The first vice president of the United States was John Adams. He served as the vice president under President George Washington from 1789 to 1797. Adams later became the second president of the United States.\n", - " 1.125934\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first vice president of the United States was John Adams. He served as vice president from 1789 to 1797 under President George Washington. Adams later became the second president of the United States.\n", + " {'completion_tokens': 41, 'prompt_tokens': 28, 'total_tokens': 69}\n", + " 1.117473\n", " \n", " \n", "\n", "" ], "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "2 gpt-3.5-turbo \n", + "3 gpt-3.5-turbo \n", + "\n", " messages \\\n", "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", "2 [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "3 [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first vice president of the United States was John Adams. He served as vice president under President George Washington from 1789 to 1797. \n", - "2 The first president of the United States was George Washington. He served as president from 1789 to 1797 and played a crucial role in establishing many of the practices and institutions that still exist in our country today. \n", - "3 The first vice president of the United States was John Adams. He served as the vice president under President George Washington from 1789 to 1797. Adams later became the second president of the United States. \n", + " temperature top_p n presence_penalty frequency_penalty \\\n", + "0 1.0 1.0 1 0.0 0.0 \n", + "1 1.0 1.0 1 0.0 0.0 \n", + "2 1.0 1.0 1 0.0 0.0 \n", + "3 1.0 1.0 1 0.0 0.0 \n", + "\n", + " response \\\n", + "0 The first president of the United States is George Washington. \n", + "1 The first Vice President of the United States was John Adams. He served under President George Washington from 1789 to 1797. \n", + "2 The first president of the United States was George Washington. He was elected in 1788 and served two terms from 1789 to 1797. \n", + "3 The first vice president of the United States was John Adams. He served as vice president from 1789 to 1797 under President George Washington. Adams later became the second president of the United States. \n", + "\n", + " response_usage \\\n", + "0 {'completion_tokens': 11, 'prompt_tokens': 23, 'total_tokens': 34} \n", + "1 {'completion_tokens': 27, 'prompt_tokens': 24, 'total_tokens': 51} \n", + "2 {'completion_tokens': 31, 'prompt_tokens': 27, 'total_tokens': 58} \n", + "3 {'completion_tokens': 41, 'prompt_tokens': 28, 'total_tokens': 69} \n", "\n", " latency \n", - "0 0.987327 \n", - "1 1.222432 \n", - "2 1.434122 \n", - "3 1.125934 " + "0 0.849522 \n", + "1 1.012878 \n", + "2 1.540456 \n", + "3 1.117473 " ] }, "metadata": {}, @@ -1273,58 +812,111 @@ " \n", " \n", " \n", + " model\n", " messages\n", + " temperature\n", + " top_p\n", + " n\n", + " presence_penalty\n", + " frequency_penalty\n", " response\n", + " response_usage\n", " latency\n", " \n", " \n", " \n", " \n", " 0\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " 0.987327\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first president of the United States is George Washington.\n", + " {'completion_tokens': 11, 'prompt_tokens': 23, 'total_tokens': 34}\n", + " 0.849522\n", " \n", " \n", " 1\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]\n", - " The first vice president of the United States was John Adams. He served as vice president under President George Washington from 1789 to 1797.\n", - " 1.222432\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first Vice President of the United States was John Adams. He served under President George Washington from 1789 to 1797.\n", + " {'completion_tokens': 27, 'prompt_tokens': 24, 'total_tokens': 51}\n", + " 1.012878\n", " \n", " \n", " 2\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington. He served as president from 1789 to 1797 and played a crucial role in establishing many of the practices and institutions that still exist in our country today.\n", - " 1.434122\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first president of the United States was George Washington. He was elected in 1788 and served two terms from 1789 to 1797.\n", + " {'completion_tokens': 31, 'prompt_tokens': 27, 'total_tokens': 58}\n", + " 1.540456\n", " \n", " \n", " 3\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]\n", - " The first vice president of the United States was John Adams. He served as the vice president under President George Washington from 1789 to 1797. Adams later became the second president of the United States.\n", - " 1.125934\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first vice president of the United States was John Adams. He served as vice president from 1789 to 1797 under President George Washington. Adams later became the second president of the United States.\n", + " {'completion_tokens': 41, 'prompt_tokens': 28, 'total_tokens': 69}\n", + " 1.117473\n", " \n", " \n", "\n", "" ], "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "2 gpt-3.5-turbo \n", + "3 gpt-3.5-turbo \n", + "\n", " messages \\\n", "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", "2 [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "3 [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first vice president of the United States was John Adams. He served as vice president under President George Washington from 1789 to 1797. \n", - "2 The first president of the United States was George Washington. He served as president from 1789 to 1797 and played a crucial role in establishing many of the practices and institutions that still exist in our country today. \n", - "3 The first vice president of the United States was John Adams. He served as the vice president under President George Washington from 1789 to 1797. Adams later became the second president of the United States. \n", + " temperature top_p n presence_penalty frequency_penalty \\\n", + "0 1.0 1.0 1 0.0 0.0 \n", + "1 1.0 1.0 1 0.0 0.0 \n", + "2 1.0 1.0 1 0.0 0.0 \n", + "3 1.0 1.0 1 0.0 0.0 \n", + "\n", + " response \\\n", + "0 The first president of the United States is George Washington. \n", + "1 The first Vice President of the United States was John Adams. He served under President George Washington from 1789 to 1797. \n", + "2 The first president of the United States was George Washington. He was elected in 1788 and served two terms from 1789 to 1797. \n", + "3 The first vice president of the United States was John Adams. He served as vice president from 1789 to 1797 under President George Washington. Adams later became the second president of the United States. \n", + "\n", + " response_usage \\\n", + "0 {'completion_tokens': 11, 'prompt_tokens': 23, 'total_tokens': 34} \n", + "1 {'completion_tokens': 27, 'prompt_tokens': 24, 'total_tokens': 51} \n", + "2 {'completion_tokens': 31, 'prompt_tokens': 27, 'total_tokens': 58} \n", + "3 {'completion_tokens': 41, 'prompt_tokens': 28, 'total_tokens': 69} \n", "\n", " latency \n", - "0 0.987327 \n", - "1 1.222432 \n", - "2 1.434122 \n", - "3 1.125934 " + "0 0.849522 \n", + "1 1.012878 \n", + "2 1.540456 \n", + "3 1.117473 " ] }, "metadata": {}, @@ -1362,65 +954,138 @@ " \n", " \n", " \n", + " model\n", " messages\n", + " temperature\n", + " top_p\n", + " n\n", + " presence_penalty\n", + " frequency_penalty\n", " response\n", + " response_usage\n", " latency\n", " \n", " \n", " \n", " \n", " 0\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " 0.987327\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first president of the United States is George Washington.\n", + " {'completion_tokens': 11, 'prompt_tokens': 23, 'total_tokens': 34}\n", + " 0.849522\n", " \n", " \n", " 1\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]\n", - " The first vice president of the United States was John Adams. He served as vice president under President George Washington from 1789 to 1797.\n", - " 1.222432\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first Vice President of the United States was John Adams. He served under President George Washington from 1789 to 1797.\n", + " {'completion_tokens': 27, 'prompt_tokens': 24, 'total_tokens': 51}\n", + " 1.012878\n", " \n", " \n", " 2\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington. He served as president from 1789 to 1797 and played a crucial role in establishing many of the practices and institutions that still exist in our country today.\n", - " 1.434122\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first president of the United States was George Washington. He was elected in 1788 and served two terms from 1789 to 1797.\n", + " {'completion_tokens': 31, 'prompt_tokens': 27, 'total_tokens': 58}\n", + " 1.540456\n", " \n", " \n", " 3\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]\n", - " The first vice president of the United States was John Adams. He served as the vice president under President George Washington from 1789 to 1797. Adams later became the second president of the United States.\n", - " 1.125934\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first vice president of the United States was John Adams. He served as vice president from 1789 to 1797 under President George Washington. Adams later became the second president of the United States.\n", + " {'completion_tokens': 41, 'prompt_tokens': 28, 'total_tokens': 69}\n", + " 1.117473\n", " \n", " \n", " 0\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " 1.101437\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first president of the United States was George Washington.\n", + " {'completion_tokens': 11, 'prompt_tokens': 23, 'total_tokens': 34}\n", + " 0.872892\n", " \n", " \n", " 1\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]\n", - " The first vice president of the United States was John Adams. He served under President George Washington from 1789 to 1797.\n", - " 0.816013\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first vice president of the United States was John Adams. He served as vice president under President George Washington from 1789 to 1797.\n", + " {'completion_tokens': 30, 'prompt_tokens': 24, 'total_tokens': 54}\n", + " 1.129201\n", " \n", " \n", " 2\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington. He served as the President from 1789 to 1797.\n", - " 0.723490\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first president of the United States was George Washington. He served as the president from 1789 to 1797. George Washington was a key figure in the American Revolution and played a crucial role in the formation of the United States as a nation. He is often called the \"Father of His Country\" for his leadership and contributions to the development of the young nation.\n", + " {'completion_tokens': 75, 'prompt_tokens': 27, 'total_tokens': 102}\n", + " 4.299786\n", " \n", " \n", " 3\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]\n", - " The first vice president of the United States was John Adams. He served as vice president under President George Washington from 1789 to 1797.\n", - " 1.122580\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first Vice President of the United States was John Adams. He served in this role from 1789 to 1797 under President George Washington. After his vice presidency, John Adams went on to become the second President of the United States.\n", + " {'completion_tokens': 49, 'prompt_tokens': 28, 'total_tokens': 77}\n", + " 1.591939\n", " \n", " \n", "\n", "" ], "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "2 gpt-3.5-turbo \n", + "3 gpt-3.5-turbo \n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "2 gpt-3.5-turbo \n", + "3 gpt-3.5-turbo \n", + "\n", " messages \\\n", "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", @@ -1431,25 +1096,45 @@ "2 [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "3 [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first vice president of the United States was John Adams. He served as vice president under President George Washington from 1789 to 1797. \n", - "2 The first president of the United States was George Washington. He served as president from 1789 to 1797 and played a crucial role in establishing many of the practices and institutions that still exist in our country today. \n", - "3 The first vice president of the United States was John Adams. He served as the vice president under President George Washington from 1789 to 1797. Adams later became the second president of the United States. \n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first vice president of the United States was John Adams. He served under President George Washington from 1789 to 1797. \n", - "2 The first president of the United States was George Washington. He served as the President from 1789 to 1797. \n", - "3 The first vice president of the United States was John Adams. He served as vice president under President George Washington from 1789 to 1797. \n", + " temperature top_p n presence_penalty frequency_penalty \\\n", + "0 1.0 1.0 1 0.0 0.0 \n", + "1 1.0 1.0 1 0.0 0.0 \n", + "2 1.0 1.0 1 0.0 0.0 \n", + "3 1.0 1.0 1 0.0 0.0 \n", + "0 1.0 1.0 1 0.0 0.0 \n", + "1 1.0 1.0 1 0.0 0.0 \n", + "2 1.0 1.0 1 0.0 0.0 \n", + "3 1.0 1.0 1 0.0 0.0 \n", + "\n", + " response \\\n", + "0 The first president of the United States is George Washington. \n", + "1 The first Vice President of the United States was John Adams. He served under President George Washington from 1789 to 1797. \n", + "2 The first president of the United States was George Washington. He was elected in 1788 and served two terms from 1789 to 1797. \n", + "3 The first vice president of the United States was John Adams. He served as vice president from 1789 to 1797 under President George Washington. Adams later became the second president of the United States. \n", + "0 The first president of the United States was George Washington. \n", + "1 The first vice president of the United States was John Adams. He served as vice president under President George Washington from 1789 to 1797. \n", + "2 The first president of the United States was George Washington. He served as the president from 1789 to 1797. George Washington was a key figure in the American Revolution and played a crucial role in the formation of the United States as a nation. He is often called the \"Father of His Country\" for his leadership and contributions to the development of the young nation. \n", + "3 The first Vice President of the United States was John Adams. He served in this role from 1789 to 1797 under President George Washington. After his vice presidency, John Adams went on to become the second President of the United States. \n", + "\n", + " response_usage \\\n", + "0 {'completion_tokens': 11, 'prompt_tokens': 23, 'total_tokens': 34} \n", + "1 {'completion_tokens': 27, 'prompt_tokens': 24, 'total_tokens': 51} \n", + "2 {'completion_tokens': 31, 'prompt_tokens': 27, 'total_tokens': 58} \n", + "3 {'completion_tokens': 41, 'prompt_tokens': 28, 'total_tokens': 69} \n", + "0 {'completion_tokens': 11, 'prompt_tokens': 23, 'total_tokens': 34} \n", + "1 {'completion_tokens': 30, 'prompt_tokens': 24, 'total_tokens': 54} \n", + "2 {'completion_tokens': 75, 'prompt_tokens': 27, 'total_tokens': 102} \n", + "3 {'completion_tokens': 49, 'prompt_tokens': 28, 'total_tokens': 77} \n", "\n", " latency \n", - "0 0.987327 \n", - "1 1.222432 \n", - "2 1.434122 \n", - "3 1.125934 \n", - "0 1.101437 \n", - "1 0.816013 \n", - "2 0.723490 \n", - "3 1.122580 " + "0 0.849522 \n", + "1 1.012878 \n", + "2 1.540456 \n", + "3 1.117473 \n", + "0 0.872892 \n", + "1 1.129201 \n", + "2 4.299786 \n", + "3 1.591939 " ] }, "metadata": {}, @@ -1457,18 +1142,10 @@ } ], "source": [ - "harness_from_load.run()\n", + "harness_from_load.run(clear_previous_results=False) # You can set to `True` to clear results\n", "harness_from_load.visualize()" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "bece5501", - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "id": "051929e1", @@ -1479,7 +1156,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 11, "id": "916167ae", "metadata": {}, "outputs": [], @@ -1493,7 +1170,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 12, "id": "85aec661", "metadata": {}, "outputs": [ @@ -1518,40 +1195,73 @@ " \n", " \n", " \n", + " model\n", " messages\n", + " temperature\n", + " top_p\n", + " n\n", + " presence_penalty\n", + " frequency_penalty\n", " response\n", + " response_usage\n", " latency\n", " \n", " \n", " \n", " \n", " 0\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " 1.090410\n", + " {'completion_tokens': 24, 'prompt_tokens': 23, 'total_tokens': 47}\n", + " 0.947374\n", " \n", " \n", " 1\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington. He was elected in 1789 and served two terms as the country's leader.\n", - " 1.208399\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first president of the United States was George Washington. He served as the president from 1789 to 1797. George Washington played a crucial role in shaping the presidency and establishing many of the traditions and practices that are still followed today.\n", + " {'completion_tokens': 49, 'prompt_tokens': 27, 'total_tokens': 76}\n", + " 1.519669\n", " \n", " \n", "\n", "" ], "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "\n", " messages \\\n", "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "1 [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. He was elected in 1789 and served two terms as the country's leader. \n", + " temperature top_p n presence_penalty frequency_penalty \\\n", + "0 1.0 1.0 1 0.0 0.0 \n", + "1 1.0 1.0 1 0.0 0.0 \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. He served as the president from 1789 to 1797. George Washington played a crucial role in shaping the presidency and establishing many of the traditions and practices that are still followed today. \n", + "\n", + " response_usage \\\n", + "0 {'completion_tokens': 24, 'prompt_tokens': 23, 'total_tokens': 47} \n", + "1 {'completion_tokens': 49, 'prompt_tokens': 27, 'total_tokens': 76} \n", "\n", " latency \n", - "0 1.090410 \n", - "1 1.208399 " + "0 0.947374 \n", + "1 1.519669 " ] }, "metadata": {}, @@ -1565,7 +1275,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 13, "id": "e91becef", "metadata": {}, "outputs": [ @@ -1590,25 +1300,46 @@ " \n", " \n", " \n", + " model\n", " messages\n", + " temperature\n", + " top_p\n", + " n\n", + " presence_penalty\n", + " frequency_penalty\n", " response\n", + " response_usage\n", " latency\n", - " dumb_eval_metric\n", + " simple_eval_metric\n", " \n", " \n", " \n", " \n", " 0\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " 1.090410\n", + " {'completion_tokens': 24, 'prompt_tokens': 23, 'total_tokens': 47}\n", + " 0.947374\n", " EVAL'ED The first\n", " \n", " \n", " 1\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington. He was elected in 1789 and served two terms as the country's leader.\n", - " 1.208399\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first president of the United States was George Washington. He served as the president from 1789 to 1797. George Washington played a crucial role in shaping the presidency and establishing many of the traditions and practices that are still followed today.\n", + " {'completion_tokens': 49, 'prompt_tokens': 27, 'total_tokens': 76}\n", + " 1.519669\n", " EVAL'ED The first\n", " \n", " \n", @@ -1616,17 +1347,29 @@ "" ], "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "\n", " messages \\\n", "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "1 [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. He was elected in 1789 and served two terms as the country's leader. \n", + " temperature top_p n presence_penalty frequency_penalty \\\n", + "0 1.0 1.0 1 0.0 0.0 \n", + "1 1.0 1.0 1 0.0 0.0 \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. He served as the president from 1789 to 1797. George Washington played a crucial role in shaping the presidency and establishing many of the traditions and practices that are still followed today. \n", + "\n", + " response_usage \\\n", + "0 {'completion_tokens': 24, 'prompt_tokens': 23, 'total_tokens': 47} \n", + "1 {'completion_tokens': 49, 'prompt_tokens': 27, 'total_tokens': 76} \n", "\n", - " latency dumb_eval_metric \n", - "0 1.090410 EVAL'ED The first \n", - "1 1.208399 EVAL'ED The first " + " latency simple_eval_metric \n", + "0 0.947374 EVAL'ED The first \n", + "1 1.519669 EVAL'ED The first " ] }, "metadata": {}, @@ -1634,17 +1377,17 @@ } ], "source": [ - "def _dumb_eval(row):\n", + "def _simple_eval(row):\n", " return \"EVAL'ED \" + row['response'][:10]\n", "\n", "\n", - "harness.evaluate(\"dumb_eval_metric\", _dumb_eval)\n", + "harness.evaluate(\"simple_eval_metric\", _simple_eval)\n", "harness.visualize()" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 14, "id": "625b4da4", "metadata": {}, "outputs": [ @@ -1664,7 +1407,7 @@ "" ] }, - "execution_count": 5, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1683,7 +1426,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 15, "id": "370caae6", "metadata": {}, "outputs": [ @@ -1704,7 +1447,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 16, "id": "ab9110f9", "metadata": {}, "outputs": [ @@ -1729,25 +1472,46 @@ " \n", " \n", " \n", + " model\n", " messages\n", + " temperature\n", + " top_p\n", + " n\n", + " presence_penalty\n", + " frequency_penalty\n", " response\n", + " response_usage\n", " latency\n", - " dumb_eval_metric\n", + " simple_eval_metric\n", " \n", " \n", " \n", " \n", " 0\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " 1.090410\n", + " {'completion_tokens': 24, 'prompt_tokens': 23, 'total_tokens': 47}\n", + " 0.947374\n", " EVAL'ED The first\n", " \n", " \n", " 1\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington. He was elected in 1789 and served two terms as the country's leader.\n", - " 1.208399\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first president of the United States was George Washington. He served as the president from 1789 to 1797. George Washington played a crucial role in shaping the presidency and establishing many of the traditions and practices that are still followed today.\n", + " {'completion_tokens': 49, 'prompt_tokens': 27, 'total_tokens': 76}\n", + " 1.519669\n", " EVAL'ED The first\n", " \n", " \n", @@ -1755,17 +1519,29 @@ "" ], "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "\n", " messages \\\n", "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "1 [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. He was elected in 1789 and served two terms as the country's leader. \n", + " temperature top_p n presence_penalty frequency_penalty \\\n", + "0 1.0 1.0 1 0.0 0.0 \n", + "1 1.0 1.0 1 0.0 0.0 \n", "\n", - " latency dumb_eval_metric \n", - "0 1.090410 EVAL'ED The first \n", - "1 1.208399 EVAL'ED The first " + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. He served as the president from 1789 to 1797. George Washington played a crucial role in shaping the presidency and establishing many of the traditions and practices that are still followed today. \n", + "\n", + " response_usage \\\n", + "0 {'completion_tokens': 24, 'prompt_tokens': 23, 'total_tokens': 47} \n", + "1 {'completion_tokens': 49, 'prompt_tokens': 27, 'total_tokens': 76} \n", + "\n", + " latency simple_eval_metric \n", + "0 0.947374 EVAL'ED The first \n", + "1 1.519669 EVAL'ED The first " ] }, "metadata": {}, @@ -1778,7 +1554,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 17, "id": "7a55f289", "metadata": {}, "outputs": [], @@ -1788,7 +1564,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 18, "id": "9d27cbc2", "metadata": {}, "outputs": [ @@ -1813,39 +1589,74 @@ " \n", " \n", " \n", + " model\n", " messages\n", + " temperature\n", + " top_p\n", + " n\n", + " presence_penalty\n", + " frequency_penalty\n", " response\n", + " response_usage\n", " latency\n", - " dumb_eval_metric\n", + " simple_eval_metric\n", " \n", " \n", " \n", " \n", " 0\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", - " 1.090410\n", + " {'completion_tokens': 24, 'prompt_tokens': 23, 'total_tokens': 47}\n", + " 0.947374\n", " EVAL'ED The first\n", " \n", " \n", " 1\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington.\n", - " 0.888243\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", + " {'completion_tokens': 24, 'prompt_tokens': 23, 'total_tokens': 47}\n", + " 1.145145\n", " NaN\n", " \n", " \n", " 2\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington. He was elected in 1789 and served two terms as the country's leader.\n", - " 1.208399\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first president of the United States was George Washington. He served as the president from 1789 to 1797. George Washington played a crucial role in shaping the presidency and establishing many of the traditions and practices that are still followed today.\n", + " {'completion_tokens': 49, 'prompt_tokens': 27, 'total_tokens': 76}\n", + " 1.519669\n", " EVAL'ED The first\n", " \n", " \n", " 3\n", + " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " The first president of the United States was George Washington. He served as president from 1789 to 1797. George Washington was also a general during the American Revolutionary War and played a crucial role in leading the country to independence.\n", - " 1.557461\n", + " 1.0\n", + " 1.0\n", + " 1\n", + " 0.0\n", + " 0.0\n", + " The first president of the United States was George Washington. He served as president from 1789 to 1797.\n", + " {'completion_tokens': 24, 'prompt_tokens': 27, 'total_tokens': 51}\n", + " 1.004023\n", " NaN\n", " \n", " \n", @@ -1853,23 +1664,41 @@ "" ], "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "2 gpt-3.5-turbo \n", + "3 gpt-3.5-turbo \n", + "\n", " messages \\\n", "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "2 [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "3 [{'role': 'system', 'content': 'You are a 5th grade history teacher.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "\n", - " response \\\n", - "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "1 The first president of the United States was George Washington. \n", - "2 The first president of the United States was George Washington. He was elected in 1789 and served two terms as the country's leader. \n", - "3 The first president of the United States was George Washington. He served as president from 1789 to 1797. George Washington was also a general during the American Revolutionary War and played a crucial role in leading the country to independence. \n", - "\n", - " latency dumb_eval_metric \n", - "0 1.090410 EVAL'ED The first \n", - "1 0.888243 NaN \n", - "2 1.208399 EVAL'ED The first \n", - "3 1.557461 NaN " + " temperature top_p n presence_penalty frequency_penalty \\\n", + "0 1.0 1.0 1 0.0 0.0 \n", + "1 1.0 1.0 1 0.0 0.0 \n", + "2 1.0 1.0 1 0.0 0.0 \n", + "3 1.0 1.0 1 0.0 0.0 \n", + "\n", + " response \\\n", + "0 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "1 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "2 The first president of the United States was George Washington. He served as the president from 1789 to 1797. George Washington played a crucial role in shaping the presidency and establishing many of the traditions and practices that are still followed today. \n", + "3 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", + "\n", + " response_usage \\\n", + "0 {'completion_tokens': 24, 'prompt_tokens': 23, 'total_tokens': 47} \n", + "1 {'completion_tokens': 24, 'prompt_tokens': 23, 'total_tokens': 47} \n", + "2 {'completion_tokens': 49, 'prompt_tokens': 27, 'total_tokens': 76} \n", + "3 {'completion_tokens': 24, 'prompt_tokens': 27, 'total_tokens': 51} \n", + "\n", + " latency simple_eval_metric \n", + "0 0.947374 EVAL'ED The first \n", + "1 1.145145 NaN \n", + "2 1.519669 EVAL'ED The first \n", + "3 1.004023 NaN " ] }, "metadata": {}, From 1929019ed981532b1692cf1d233795bca182365e Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 9 Nov 2023 14:26:14 -0500 Subject: [PATCH 123/182] Update visualization logic --- .../experiments/openai_chat_experiment.py | 30 +++++++++++++++++++ .../harness/chat_prompt_template_harness.py | 7 +++++ .../harness/model_comparison_harness.py | 7 +++++ prompttools/harness/system_prompt_harness.py | 7 +++++ 4 files changed, 51 insertions(+) diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index e153fa62..90fb8498 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -428,6 +428,36 @@ def run_one( self._construct_result_dfs(self.queue.get_input_args(), self.queue.get_results(), self.queue.get_latencies()) + def get_table(self, get_all_cols: bool = False) -> pd.DataFrame: + columns_to_hide = [ + "stream", + "response_id", + "response_choices", + "response_created", + "response_created", + "response_object", + "response_model", + "response_system_fingerprint", + "revision_id", + "log_id", + ] + + if get_all_cols: + return self.full_df + else: + table = self.full_df + columns_to_hide.extend( + [ + col + for col in ["temperature", "top_p", "n", "presence_penalty", "frequency_penalty"] + if col not in self.partial_df.columns + ] + ) + for col in columns_to_hide: + if col in table.columns: + table = table.drop(col, axis=1) + return table + # def _update_values_in_dataframe(self): # r""" # If, in the future, we wish to update existing values rather than appending to the end of the row. diff --git a/prompttools/harness/chat_prompt_template_harness.py b/prompttools/harness/chat_prompt_template_harness.py index 566eaa6d..7ddb563a 100644 --- a/prompttools/harness/chat_prompt_template_harness.py +++ b/prompttools/harness/chat_prompt_template_harness.py @@ -117,6 +117,13 @@ def get_table(self, get_all_cols: bool = False) -> pd.DataFrame: return self.full_df else: table = self.full_df + columns_to_hide.extend( + [ + col + for col in ["temperature", "top_p", "n", "presence_penalty", "frequency_penalty"] + if col not in self.partial_df.columns + ] + ) for col in columns_to_hide: if col in table.columns: table = table.drop(col, axis=1) diff --git a/prompttools/harness/model_comparison_harness.py b/prompttools/harness/model_comparison_harness.py index 69a63998..d80ce18a 100644 --- a/prompttools/harness/model_comparison_harness.py +++ b/prompttools/harness/model_comparison_harness.py @@ -138,6 +138,13 @@ def get_table(self, get_all_cols: bool = False) -> pd.DataFrame: return self.full_df else: table = self.full_df + columns_to_hide.extend( + [ + col + for col in ["temperature", "top_p", "n", "presence_penalty", "frequency_penalty"] + if table[col].nunique() == 1 # Note this is checking for uniqueness + ] + ) for col in columns_to_hide: if col in table.columns: table = table.drop(col, axis=1) diff --git a/prompttools/harness/system_prompt_harness.py b/prompttools/harness/system_prompt_harness.py index 58520162..9dd9009e 100644 --- a/prompttools/harness/system_prompt_harness.py +++ b/prompttools/harness/system_prompt_harness.py @@ -141,6 +141,13 @@ def get_table(self, get_all_cols: bool = False) -> pd.DataFrame: return self.full_df else: table = self.full_df + columns_to_hide.extend( + [ + col + for col in ["temperature", "top_p", "n", "presence_penalty", "frequency_penalty"] + if col not in self.partial_df.columns + ] + ) for col in columns_to_hide: if col in table.columns: table = table.drop(col, axis=1) From 381dc6fa6476599f847df8370cbb0ddab98e5819 Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Thu, 9 Nov 2023 12:50:12 -0800 Subject: [PATCH 124/182] Version bump --- docs/source/conf.py | 2 +- prompttools/version.py | 4 ++-- pyproject.toml | 2 +- version.txt | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 2530dcf1..3b797132 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -11,7 +11,7 @@ project = "prompttools" copyright = "2023, Hegel AI" author = "Hegel AI" -release = "0.0.41" +release = "0.0.42" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/prompttools/version.py b/prompttools/version.py index b713ca27..0e45c082 100644 --- a/prompttools/version.py +++ b/prompttools/version.py @@ -1,2 +1,2 @@ -__version__ = '0.0.41a0+6e6ef77' -git_version = '6e6ef77d520abd969925039b5ababcd3c52fe679' +__version__ = '0.0.42a0+9e5896d' +git_version = '9e5896d5c21ba1cfd9e05023e51d9b0514857833' diff --git a/pyproject.toml b/pyproject.toml index a314ece5..197a1708 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "prompttools" -version = "0.0.41" +version = "0.0.42" authors = [ { name="Hegel AI", email="team@hegel-ai.com" }, ] diff --git a/version.txt b/version.txt index 4e731d9c..a3fa9bbe 100644 --- a/version.txt +++ b/version.txt @@ -1 +1 @@ -0.0.41a0 +0.0.42a0 From f0248bc0f4c68170df0610148d7b8ef383af3eb7 Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Thu, 9 Nov 2023 12:52:25 -0800 Subject: [PATCH 125/182] Version bump --- docs/source/conf.py | 2 +- prompttools/version.py | 4 ++-- pyproject.toml | 2 +- version.txt | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 3b797132..e8814889 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -11,7 +11,7 @@ project = "prompttools" copyright = "2023, Hegel AI" author = "Hegel AI" -release = "0.0.42" +release = "0.0.43" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/prompttools/version.py b/prompttools/version.py index 0e45c082..ca2ae2b6 100644 --- a/prompttools/version.py +++ b/prompttools/version.py @@ -1,2 +1,2 @@ -__version__ = '0.0.42a0+9e5896d' -git_version = '9e5896d5c21ba1cfd9e05023e51d9b0514857833' +__version__ = '0.0.43a0+5234a22' +git_version = '5234a228395a7f0c61b7d732927f51b4857a6846' diff --git a/pyproject.toml b/pyproject.toml index 197a1708..e93bde0c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "prompttools" -version = "0.0.42" +version = "0.0.43" authors = [ { name="Hegel AI", email="team@hegel-ai.com" }, ] diff --git a/version.txt b/version.txt index a3fa9bbe..85a9ee5c 100644 --- a/version.txt +++ b/version.txt @@ -1 +1 @@ -0.0.42a0 +0.0.43a0 From ead22e88a83ddcda4c4aba62e1219473d7d1a41c Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 20 Nov 2023 16:21:54 -0500 Subject: [PATCH 126/182] Fix rag harness --- prompttools/harness/rag_harness.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/prompttools/harness/rag_harness.py b/prompttools/harness/rag_harness.py index c955c748..877ae854 100644 --- a/prompttools/harness/rag_harness.py +++ b/prompttools/harness/rag_harness.py @@ -105,8 +105,6 @@ def run(self) -> None: # Run the LLM experiment self.experiment.run() - self.partial_df = self.experiment.partial_df - self.full_df = self.experiment.full_df # Add "query text" (i.e. the prompt used to retrieve documents from the vector DB) # to the final results table here From 2065e14d606db6de3c748db3eba8f05df95a98d6 Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Mon, 27 Nov 2023 19:23:05 -0800 Subject: [PATCH 127/182] Fix streamlit playground --- prompttools/experiment/experiments/experiment.py | 4 +++- prompttools/playground/data_loader.py | 4 ++-- prompttools/version.py | 4 ++-- 3 files changed, 7 insertions(+), 5 deletions(-) diff --git a/prompttools/experiment/experiments/experiment.py b/prompttools/experiment/experiments/experiment.py index deaf5996..872f12e1 100644 --- a/prompttools/experiment/experiments/experiment.py +++ b/prompttools/experiment/experiments/experiment.py @@ -527,7 +527,7 @@ def to_csv( table = self.get_table(get_all_cols=get_all_cols) table.to_csv(path, **kwargs) - def to_pandas_df(self, get_all_cols: bool = True): + def to_pandas_df(self, get_all_cols: bool = True, from_streamlit: bool = False): r""" Return the results as a ``pandas.DataFrame``. If the experiment has not been executed, it will run. @@ -535,6 +535,8 @@ def to_pandas_df(self, get_all_cols: bool = True): get_all_cols (bool): defaults to ``False``. If ``True``, it will return the full data with all input arguments (including frozen ones), full model response (not just the text response), and scores. """ + if from_streamlit: + self.run() return self.get_table(get_all_cols=get_all_cols) def to_json( diff --git a/prompttools/playground/data_loader.py b/prompttools/playground/data_loader.py index d5aee79e..22ad7c9a 100644 --- a/prompttools/playground/data_loader.py +++ b/prompttools/playground/data_loader.py @@ -66,7 +66,7 @@ def load_data( model_specific_kwargs = {model: {}} experiment = EXPERIMENTS[model_type]([model], input_kwargs, model_specific_kwargs) - return experiment.to_pandas_df() + return experiment.to_pandas_df(True, True) @st.cache_data @@ -112,5 +112,5 @@ def run_multiple( experiment = EXPERIMENTS[model_types[i]]([models[i]], input_kwargs, model_specific_kwargs) else: experiment = EXPERIMENTS[model_types[i]]([models[i]], prompts) - dfs.append(experiment.to_pandas_df()) + dfs.append(experiment.to_pandas_df(True, True)) return dfs diff --git a/prompttools/version.py b/prompttools/version.py index ca2ae2b6..7ca825d1 100644 --- a/prompttools/version.py +++ b/prompttools/version.py @@ -1,2 +1,2 @@ -__version__ = '0.0.43a0+5234a22' -git_version = '5234a228395a7f0c61b7d732927f51b4857a6846' +__version__ = '0.0.43a0+ead22e8' +git_version = 'ead22e88a83ddcda4c4aba62e1219473d7d1a41c' From 0ee330eb6da012d100fa340126df04c5dc0a39a0 Mon Sep 17 00:00:00 2001 From: "Steven Krawczyk (Hegel AI)" Date: Mon, 27 Nov 2023 19:35:23 -0800 Subject: [PATCH 128/182] Update README.md --- README.md | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/README.md b/README.md index 8bb0dda8..c0666d06 100644 --- a/README.md +++ b/README.md @@ -14,9 +14,7 @@ Total Downloads - - - +

From 60b68ce3a06646bdc2a0ba4b55f2a1d31efa1a05 Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 1 Dec 2023 13:06:40 -0500 Subject: [PATCH 129/182] Update traces sample rate --- prompttools/sentry.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/prompttools/sentry.py b/prompttools/sentry.py index f3dff61c..3be08d38 100644 --- a/prompttools/sentry.py +++ b/prompttools/sentry.py @@ -57,7 +57,7 @@ def init_sentry(): sentry_sdk.init( dsn=SENTRY_DSN, release=__version__, - traces_sample_rate=1.0, + traces_sample_rate=0.01, include_local_variables=False, send_default_pii=False, attach_stacktrace=False, From 1e62528415a48c68ef8a1ef5ca1c1113e85be94a Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 7 Dec 2023 14:35:30 -0500 Subject: [PATCH 130/182] Adding daemon-like shutdown behavior with cleanup --- test/sender.py | 52 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 52 insertions(+) create mode 100644 test/sender.py diff --git a/test/sender.py b/test/sender.py new file mode 100644 index 00000000..f045adf1 --- /dev/null +++ b/test/sender.py @@ -0,0 +1,52 @@ +import requests +import threading +import queue +from functools import partial + + +class Sender: + def __init__(self): + self.flask_api_url = "http://localhost:5000/" + self.data_queue = queue.Queue() + self.worker_thread = threading.Thread(target=self.worker) + + # When the main thread is joining, put `None` into queue to signal worker thread to end + threading.Thread(target=lambda: threading.main_thread().join() or self.data_queue.put(None)).start() + + self.worker_thread.start() + + def execute_and_add(self, callable_func): + result = callable_func() + self.data_queue.put(result) + + def worker(self): + while True: + if not self.data_queue.empty(): + result = self.data_queue.get() + if result is None: + return + self.send_data_to_flask(result) + self.data_queue.task_done() + + def send_data_to_flask(self, data): + try: + response = requests.post(self.flask_api_url, json=data) + if response.status_code == 200: + print(f"Data sent to Flask API: {data}") + else: + print(f"Failed to send data to Flask API. Status code: {response.status_code}") + except requests.exceptions.RequestException as e: + print(f"Error sending data to Flask API: {e}") + + +if __name__ == "__main__": + sender = Sender() + + # Example usage: + def example_callable(i: int): + print(f"Executing callable {i}") + return {"message": f"Hello, {i}!"} + + for i in range(3): + sender.execute_and_add(partial(example_callable, i)) + print("end") From 150c5b324382c8684454aa4a5fe49ca13e3a807f Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 8 Dec 2023 17:16:42 -0500 Subject: [PATCH 131/182] Monkey-patch OpenAI chat --- prompttools/scribe/__init__.py | 13 +++++++ prompttools/scribe/scribe.py | 65 ++++++++++++++++++++++++++++++++++ test/app.py | 27 ++++++++++++++ test/sender.py | 52 --------------------------- test/test_scribe.py | 24 +++++++++++++ 5 files changed, 129 insertions(+), 52 deletions(-) create mode 100644 prompttools/scribe/__init__.py create mode 100644 prompttools/scribe/scribe.py create mode 100644 test/app.py delete mode 100644 test/sender.py create mode 100644 test/test_scribe.py diff --git a/prompttools/scribe/__init__.py b/prompttools/scribe/__init__.py new file mode 100644 index 00000000..1d86689c --- /dev/null +++ b/prompttools/scribe/__init__.py @@ -0,0 +1,13 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + + +from .scribe import Scribe + + +__all__ = [ + "Scribe", +] diff --git a/prompttools/scribe/scribe.py b/prompttools/scribe/scribe.py new file mode 100644 index 00000000..975486f3 --- /dev/null +++ b/prompttools/scribe/scribe.py @@ -0,0 +1,65 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + + +import requests +import threading +import queue +from functools import partial +import openai +from dotenv import load_dotenv +from os.path import join, dirname + + +# Load "OPENAI_API_KEY" into `os.environ["OPENAI_API_KEY"]` +dotenv_path = join(dirname(__file__), ".env") +load_dotenv(dotenv_path) + + +class Scribe: + def __init__(self): + self.flask_api_url = "http://localhost:5000/" + self.data_queue = queue.Queue() + self.worker_thread = threading.Thread(target=self.worker) + + # When the main thread is joining, put `None` into queue to signal worker thread to end + threading.Thread(target=lambda: threading.main_thread().join() or self.data_queue.put(None)).start() + + self.worker_thread.start() + + def execute_and_add_to_queue(self, callable_func, **kwargs): + result = callable_func(**kwargs) + self.data_queue.put(result.model_dump_json()) + return result + + def wrap(self, callable_func): + return partial(self.execute_and_add_to_queue, callable_func) + + def worker(self): + while True: + if not self.data_queue.empty(): + result = self.data_queue.get() + if result is None: + return + self.log_data_to_remote(result) + self.data_queue.task_done() + + def log_data_to_remote(self, data): + try: + response = requests.post(self.flask_api_url, json=data) + if response.status_code != 200: + print(f"Failed to send data to Flask API. Status code: {response.status_code} for {data}.") + except requests.exceptions.RequestException as e: + print(f"Error sending data to Flask API: {e}") + + +sender = Scribe() +# Monkey-patching +try: + openai.chat.completions.create = sender.wrap(openai.chat.completions.create) +except Exception: + print("You may need to add `OPENAI_API_KEY=''` to your `.env` file.") + raise diff --git a/test/app.py b/test/app.py new file mode 100644 index 00000000..4dd025a3 --- /dev/null +++ b/test/app.py @@ -0,0 +1,27 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + + +r""" +App for local testing +""" + +from flask import Flask, request +import time + +app = Flask(__name__) + + +@app.route("/", methods=["POST"]) +def process_request(): + time.sleep(0.1) + data = request.json + print(f"Request received and processed {data}.") + return "", 200 + + +if __name__ == "__main__": + app.run(debug=True) diff --git a/test/sender.py b/test/sender.py deleted file mode 100644 index f045adf1..00000000 --- a/test/sender.py +++ /dev/null @@ -1,52 +0,0 @@ -import requests -import threading -import queue -from functools import partial - - -class Sender: - def __init__(self): - self.flask_api_url = "http://localhost:5000/" - self.data_queue = queue.Queue() - self.worker_thread = threading.Thread(target=self.worker) - - # When the main thread is joining, put `None` into queue to signal worker thread to end - threading.Thread(target=lambda: threading.main_thread().join() or self.data_queue.put(None)).start() - - self.worker_thread.start() - - def execute_and_add(self, callable_func): - result = callable_func() - self.data_queue.put(result) - - def worker(self): - while True: - if not self.data_queue.empty(): - result = self.data_queue.get() - if result is None: - return - self.send_data_to_flask(result) - self.data_queue.task_done() - - def send_data_to_flask(self, data): - try: - response = requests.post(self.flask_api_url, json=data) - if response.status_code == 200: - print(f"Data sent to Flask API: {data}") - else: - print(f"Failed to send data to Flask API. Status code: {response.status_code}") - except requests.exceptions.RequestException as e: - print(f"Error sending data to Flask API: {e}") - - -if __name__ == "__main__": - sender = Sender() - - # Example usage: - def example_callable(i: int): - print(f"Executing callable {i}") - return {"message": f"Hello, {i}!"} - - for i in range(3): - sender.execute_and_add(partial(example_callable, i)) - print("end") diff --git a/test/test_scribe.py b/test/test_scribe.py new file mode 100644 index 00000000..5fdbc54a --- /dev/null +++ b/test/test_scribe.py @@ -0,0 +1,24 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + + +import openai +import os +import prompttools.scribe # noqa: F401 Importing this line will monkey-patch `openai.chat.completions.create` + +if __name__ == "__main__": + + os.environ["OPENAI_API_KEY"] = "" + + # Example usage: + for i in range(3): + messages = [ + {"role": "user", "content": f"What is 1 + {i}?"}, + ] + result = openai.chat.completions.create(model="gpt-3.5-turbo", messages=messages) + print(f"{i} {result = }") + + print("End") From 776267ab0eb630928d33864a96c22c680cf0ad73 Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 12 Dec 2023 14:03:25 -0500 Subject: [PATCH 132/182] Update backend URL --- prompttools/scribe/scribe.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/prompttools/scribe/scribe.py b/prompttools/scribe/scribe.py index 975486f3..b5e7cfb6 100644 --- a/prompttools/scribe/scribe.py +++ b/prompttools/scribe/scribe.py @@ -12,16 +12,18 @@ import openai from dotenv import load_dotenv from os.path import join, dirname +from prompttools.common import HEGEL_BACKEND_URL # Load "OPENAI_API_KEY" into `os.environ["OPENAI_API_KEY"]` +# See `.env.example` dotenv_path = join(dirname(__file__), ".env") load_dotenv(dotenv_path) class Scribe: def __init__(self): - self.flask_api_url = "http://localhost:5000/" + self.backend_url = f"{HEGEL_BACKEND_URL}/sdk/log" self.data_queue = queue.Queue() self.worker_thread = threading.Thread(target=self.worker) @@ -49,7 +51,7 @@ def worker(self): def log_data_to_remote(self, data): try: - response = requests.post(self.flask_api_url, json=data) + response = requests.post(self.backend_url, json=data) if response.status_code != 200: print(f"Failed to send data to Flask API. Status code: {response.status_code} for {data}.") except requests.exceptions.RequestException as e: From 222b80e2214f304fbd2377b44f060c652908f13c Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 12 Dec 2023 14:39:25 -0500 Subject: [PATCH 133/182] Logging optional model name --- prompttools/scribe/scribe.py | 7 ++++++- test/test_scribe.py | 2 +- 2 files changed, 7 insertions(+), 2 deletions(-) diff --git a/prompttools/scribe/scribe.py b/prompttools/scribe/scribe.py index b5e7cfb6..d1ce38d6 100644 --- a/prompttools/scribe/scribe.py +++ b/prompttools/scribe/scribe.py @@ -33,8 +33,13 @@ def __init__(self): self.worker_thread.start() def execute_and_add_to_queue(self, callable_func, **kwargs): + if "hegel_model" in kwargs: + hegel_model = kwargs["hegel_model"] + del kwargs["hegel_model"] + else: + hegel_model = None result = callable_func(**kwargs) - self.data_queue.put(result.model_dump_json()) + self.data_queue.put({"hegel_model": hegel_model, "data": result.model_dump_json()}) return result def wrap(self, callable_func): diff --git a/test/test_scribe.py b/test/test_scribe.py index 5fdbc54a..7cd85131 100644 --- a/test/test_scribe.py +++ b/test/test_scribe.py @@ -18,7 +18,7 @@ messages = [ {"role": "user", "content": f"What is 1 + {i}?"}, ] - result = openai.chat.completions.create(model="gpt-3.5-turbo", messages=messages) + result = openai.chat.completions.create(model="gpt-3.5-turbo", messages=messages, hegel_model="TEST_MODEL") print(f"{i} {result = }") print("End") From e84a71e8e739638f9f8bdc6d715755f6d10eda1b Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 12 Dec 2023 14:40:59 -0500 Subject: [PATCH 134/182] Logging optional model name --- test/app.py | 2 +- test/test_scribe.py | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/test/app.py b/test/app.py index 4dd025a3..385f7d23 100644 --- a/test/app.py +++ b/test/app.py @@ -6,7 +6,7 @@ r""" -App for local testing +App for local testing of scribe """ from flask import Flask, request diff --git a/test/test_scribe.py b/test/test_scribe.py index 7cd85131..0f3fc792 100644 --- a/test/test_scribe.py +++ b/test/test_scribe.py @@ -13,6 +13,7 @@ os.environ["OPENAI_API_KEY"] = "" + # Launch server from `app.py` first # Example usage: for i in range(3): messages = [ From f6a50e89056085c3a142aca62aa35338304c57aa Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 12 Dec 2023 14:46:56 -0500 Subject: [PATCH 135/182] Disable test_scribe as it is not meant for CI testing for now --- test/test_scribe.py | 33 +++++++++++++++++---------------- 1 file changed, 17 insertions(+), 16 deletions(-) diff --git a/test/test_scribe.py b/test/test_scribe.py index 0f3fc792..24b40e40 100644 --- a/test/test_scribe.py +++ b/test/test_scribe.py @@ -5,21 +5,22 @@ # LICENSE file in the root directory of this source tree. -import openai -import os -import prompttools.scribe # noqa: F401 Importing this line will monkey-patch `openai.chat.completions.create` +# import openai +# import os -if __name__ == "__main__": +# import prompttools.scribe # noqa: F401 Importing this line will monkey-patch `openai.chat.completions.create` - os.environ["OPENAI_API_KEY"] = "" - - # Launch server from `app.py` first - # Example usage: - for i in range(3): - messages = [ - {"role": "user", "content": f"What is 1 + {i}?"}, - ] - result = openai.chat.completions.create(model="gpt-3.5-turbo", messages=messages, hegel_model="TEST_MODEL") - print(f"{i} {result = }") - - print("End") +# if __name__ == "__main__": +# +# os.environ["OPENAI_API_KEY"] = "" +# +# # Launch server from `app.py` first +# # Example usage: +# for i in range(3): +# messages = [ +# {"role": "user", "content": f"What is 1 + {i}?"}, +# ] +# result = openai.chat.completions.create(model="gpt-3.5-turbo", messages=messages, hegel_model="TEST_MODEL") +# print(f"{i} {result = }") +# +# print("End") From 216f5ff128fc95e9c8574bb551be94cdcb519561 Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 14 Dec 2023 14:48:31 -0500 Subject: [PATCH 136/182] Update Scribe API with key usage --- prompttools/scribe/scribe.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/prompttools/scribe/scribe.py b/prompttools/scribe/scribe.py index d1ce38d6..51b9745d 100644 --- a/prompttools/scribe/scribe.py +++ b/prompttools/scribe/scribe.py @@ -10,6 +10,7 @@ import queue from functools import partial import openai +import os from dotenv import load_dotenv from os.path import join, dirname from prompttools.common import HEGEL_BACKEND_URL @@ -23,7 +24,7 @@ class Scribe: def __init__(self): - self.backend_url = f"{HEGEL_BACKEND_URL}/sdk/log" + self.backend_url = f"{HEGEL_BACKEND_URL}/sdk/scribe" self.data_queue = queue.Queue() self.worker_thread = threading.Thread(target=self.worker) @@ -56,7 +57,12 @@ def worker(self): def log_data_to_remote(self, data): try: - response = requests.post(self.backend_url, json=data) + headers = { + "Content-Type": "application/json", + "Authorization": os.environ["HEGELAI_API_KEY"], + } + + response = requests.post(self.backend_url, json=data, headers=headers) if response.status_code != 200: print(f"Failed to send data to Flask API. Status code: {response.status_code} for {data}.") except requests.exceptions.RequestException as e: From 34f1c2aaafb992aca99680c465ebe649cccfaf70 Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 15 Dec 2023 23:51:30 -0500 Subject: [PATCH 137/182] Enhance scribe logging --- prompttools/scribe/scribe.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/prompttools/scribe/scribe.py b/prompttools/scribe/scribe.py index 51b9745d..a27f1696 100644 --- a/prompttools/scribe/scribe.py +++ b/prompttools/scribe/scribe.py @@ -3,7 +3,7 @@ # # This source code's license can be found in the # LICENSE file in the root directory of this source tree. - +import json import requests import threading @@ -40,7 +40,9 @@ def execute_and_add_to_queue(self, callable_func, **kwargs): else: hegel_model = None result = callable_func(**kwargs) - self.data_queue.put({"hegel_model": hegel_model, "data": result.model_dump_json()}) + self.data_queue.put( + {"hegel_model": hegel_model, "result": result.model_dump_json(), "input_parameters": json.dumps(kwargs)} + ) return result def wrap(self, callable_func): From 00d308bc5aca1251e40f0e72acd84abb101af0da Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 18 Dec 2023 15:35:27 -0500 Subject: [PATCH 138/182] Rename scribe to logger --- prompttools/{scribe => logger}/__init__.py | 4 ++-- prompttools/{scribe/scribe.py => logger/logger.py} | 6 +++--- test/app.py | 2 +- test/{test_scribe.py => test_logger.py} | 11 +++++------ 4 files changed, 11 insertions(+), 12 deletions(-) rename prompttools/{scribe => logger}/__init__.py (81%) rename prompttools/{scribe/scribe.py => logger/logger.py} (96%) rename test/{test_scribe.py => test_logger.py} (82%) diff --git a/prompttools/scribe/__init__.py b/prompttools/logger/__init__.py similarity index 81% rename from prompttools/scribe/__init__.py rename to prompttools/logger/__init__.py index 1d86689c..47bc34ee 100644 --- a/prompttools/scribe/__init__.py +++ b/prompttools/logger/__init__.py @@ -5,9 +5,9 @@ # LICENSE file in the root directory of this source tree. -from .scribe import Scribe +from .logger import Logger __all__ = [ - "Scribe", + "Logger", ] diff --git a/prompttools/scribe/scribe.py b/prompttools/logger/logger.py similarity index 96% rename from prompttools/scribe/scribe.py rename to prompttools/logger/logger.py index a27f1696..6366e1f5 100644 --- a/prompttools/scribe/scribe.py +++ b/prompttools/logger/logger.py @@ -22,9 +22,9 @@ load_dotenv(dotenv_path) -class Scribe: +class Logger: def __init__(self): - self.backend_url = f"{HEGEL_BACKEND_URL}/sdk/scribe" + self.backend_url = f"{HEGEL_BACKEND_URL}/sdk/logger" self.data_queue = queue.Queue() self.worker_thread = threading.Thread(target=self.worker) @@ -71,7 +71,7 @@ def log_data_to_remote(self, data): print(f"Error sending data to Flask API: {e}") -sender = Scribe() +sender = Logger() # Monkey-patching try: openai.chat.completions.create = sender.wrap(openai.chat.completions.create) diff --git a/test/app.py b/test/app.py index 385f7d23..dd2a9934 100644 --- a/test/app.py +++ b/test/app.py @@ -6,7 +6,7 @@ r""" -App for local testing of scribe +App for local testing of logger """ from flask import Flask, request diff --git a/test/test_scribe.py b/test/test_logger.py similarity index 82% rename from test/test_scribe.py rename to test/test_logger.py index 24b40e40..06af8379 100644 --- a/test/test_scribe.py +++ b/test/test_logger.py @@ -7,16 +7,15 @@ # import openai # import os - -# import prompttools.scribe # noqa: F401 Importing this line will monkey-patch `openai.chat.completions.create` - -# if __name__ == "__main__": # -# os.environ["OPENAI_API_KEY"] = "" +# import prompttools.logger # noqa: F401 Importing this line will monkey-patch `openai.chat.completions.create` +# +# +# if __name__ == "__main__": # # # Launch server from `app.py` first # # Example usage: -# for i in range(3): +# for i in range(1): # messages = [ # {"role": "user", "content": f"What is 1 + {i}?"}, # ] From 148faf9a54e1f3e605ac645cccc0df02023d6cc0 Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 21 Dec 2023 12:29:22 -0800 Subject: [PATCH 139/182] Add latency data to logger --- prompttools/logger/logger.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/prompttools/logger/logger.py b/prompttools/logger/logger.py index 6366e1f5..361a5709 100644 --- a/prompttools/logger/logger.py +++ b/prompttools/logger/logger.py @@ -13,6 +13,7 @@ import os from dotenv import load_dotenv from os.path import join, dirname +from time import perf_counter from prompttools.common import HEGEL_BACKEND_URL @@ -39,9 +40,16 @@ def execute_and_add_to_queue(self, callable_func, **kwargs): del kwargs["hegel_model"] else: hegel_model = None + start = perf_counter() result = callable_func(**kwargs) + latency = perf_counter() - start self.data_queue.put( - {"hegel_model": hegel_model, "result": result.model_dump_json(), "input_parameters": json.dumps(kwargs)} + { + "hegel_model": hegel_model, + "result": result.model_dump_json(), + "input_parameters": json.dumps(kwargs), + "latency": latency, + } ) return result From fb67547227fac856495ca49f5c2827c52a03ede5 Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 21 Dec 2023 13:08:16 -0800 Subject: [PATCH 140/182] Update OpenAI Azure API --- .../AzureOpenAIServiceExperiment.ipynb | 100 +----------------- .../experiments/openai_chat_experiment.py | 23 ++-- 2 files changed, 15 insertions(+), 108 deletions(-) diff --git a/examples/notebooks/AzureOpenAIServiceExperiment.ipynb b/examples/notebooks/AzureOpenAIServiceExperiment.ipynb index 8bd47786..eafea469 100644 --- a/examples/notebooks/AzureOpenAIServiceExperiment.ipynb +++ b/examples/notebooks/AzureOpenAIServiceExperiment.ipynb @@ -130,7 +130,6 @@ "]\n", "\n", "azure_openai_service_configs = {\"AZURE_OPENAI_ENDPOINT\": \"https://YOURENDPOINTNAME.openai.azure.com/\",\n", - " \"API_TYPE\": \"azure\",\n", " \"API_VERSION\": \"2023-05-15\"} # Specify which API version to use\n", "temperatures = [0.0, 1.0]\n", "# You can add more parameters that you'd like to test here.\n", @@ -252,7 +251,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 7, "id": "4cf5897b", "metadata": {}, "outputs": [], @@ -271,7 +270,6 @@ "]\n", "\n", "azure_openai_service_configs = {\"AZURE_OPENAI_ENDPOINT\": \"https://YOURENDPOINTNAME.openai.azure.com/\",\n", - " \"API_TYPE\": \"azure\",\n", " \"API_VERSION\": \"2023-05-15\"} # Specify which API version to use\n", "temperatures = [0.0, 1.0]\n", "# You can add more parameters that you'd like to test here.\n", @@ -282,100 +280,10 @@ }, { "cell_type": "code", - "execution_count": 6, - "id": "6eab3877", + "execution_count": null, + "id": "2d261524", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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20.0[{'role': 'system', 'content': 'You are a creative copywriter.'}, {'role': 'user', 'content': 'Write a tagline for an ice cream shop.'}]\"Scoops of happiness in every cone!\"0.517402
31.0[{'role': 'system', 'content': 'You are a creative copywriter.'}, {'role': 'user', 'content': 'Write a tagline for an ice cream shop.'}]\"Scoops of happiness in every cone.\"0.508131
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" - ], - "text/plain": [ - " temperature \\\n", - "0 0.0 \n", - "1 1.0 \n", - "2 0.0 \n", - "3 1.0 \n", - "\n", - " messages \\\n", - "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "2 [{'role': 'system', 'content': 'You are a creative copywriter.'}, {'role': 'user', 'content': 'Write a tagline for an ice cream shop.'}] \n", - "3 [{'role': 'system', 'content': 'You are a creative copywriter.'}, {'role': 'user', 'content': 'Write a tagline for an ice cream shop.'}] \n", - "\n", - " response \\\n", - "0 The first president of the United States was George Washington. \n", - "1 The first president of the United States was George Washington. He served as president from 1789 to 1797. \n", - "2 \"Scoops of happiness in every cone!\" \n", - "3 \"Scoops of happiness in every cone.\" \n", - "\n", - " latency \n", - "0 0.903520 \n", - "1 0.815370 \n", - "2 0.517402 \n", - "3 0.508131 " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "experiment.run()\n", "experiment.visualize()" diff --git a/prompttools/experiment/experiments/openai_chat_experiment.py b/prompttools/experiment/experiments/openai_chat_experiment.py index 90fb8498..77f27a24 100644 --- a/prompttools/experiment/experiments/openai_chat_experiment.py +++ b/prompttools/experiment/experiments/openai_chat_experiment.py @@ -97,9 +97,8 @@ class OpenAIChatExperiment(Experiment): azure_openai_service_configs (Optional[dict]): Defaults to ``None``. If it is set, the experiment will use Azure OpenAI Service. The input dict should - contain these 3 keys (but with values based on your use case and configuration): - ``{"AZURE_OPENAI_ENDPOINT": "https://YOUR_RESOURCE_NAME.openai.azure.com/", - "API_TYPE": "azure", "API_VERSION": "2023-05-15"`` + contain these 2 keys (but with values based on your use case and configuration): + ``{"AZURE_OPENAI_ENDPOINT": "https://YOUR_RESOURCE_NAME.openai.azure.com/", "API_VERSION": "2023-05-15"}`` """ _experiment_type = "RawExperiment" @@ -123,7 +122,15 @@ def __init__( function_call: Optional[List[Dict[str, str]]] = [None], azure_openai_service_configs: Optional[dict] = None, ): - self.completion_fn = openai.chat.completions.create + if azure_openai_service_configs is None: + self.completion_fn = openai.chat.completions.create + else: + client = openai.AzureOpenAI( + api_key=os.environ["AZURE_OPENAI_KEY"], + api_version=azure_openai_service_configs["API_VERSION"], + azure_endpoint=azure_openai_service_configs["AZURE_OPENAI_ENDPOINT"], + ) + self.completion_fn = client.chat.completions.create if os.getenv("DEBUG", default=False): if functions[0] is not None: self.completion_fn = mock_openai_chat_function_completion_fn @@ -164,14 +171,6 @@ def __init__( if self.all_args["logit_bias"] == [None]: del self.all_args["logit_bias"] - if azure_openai_service_configs: - openai.api_key = os.environ["AZURE_OPENAI_KEY"] - openai.api_base = azure_openai_service_configs["AZURE_OPENAI_ENDPOINT"] - openai.api_type = azure_openai_service_configs["API_TYPE"] - openai.api_version = azure_openai_service_configs["API_VERSION"] - del self.all_args["model"] - self.all_args["engine"] = model - super().__init__() @staticmethod From 3f12441a1ecd45e3d6579f3058301a7a56ed2835 Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 22 Dec 2023 15:30:19 -0800 Subject: [PATCH 141/182] Update logger example --- test/test_logger.py | 50 +++++++++++++++++++++++++++++---------------- 1 file changed, 32 insertions(+), 18 deletions(-) diff --git a/test/test_logger.py b/test/test_logger.py index 06af8379..3d3286b1 100644 --- a/test/test_logger.py +++ b/test/test_logger.py @@ -5,21 +5,35 @@ # LICENSE file in the root directory of this source tree. -# import openai -# import os -# -# import prompttools.logger # noqa: F401 Importing this line will monkey-patch `openai.chat.completions.create` -# -# -# if __name__ == "__main__": -# -# # Launch server from `app.py` first -# # Example usage: -# for i in range(1): -# messages = [ -# {"role": "user", "content": f"What is 1 + {i}?"}, -# ] -# result = openai.chat.completions.create(model="gpt-3.5-turbo", messages=messages, hegel_model="TEST_MODEL") -# print(f"{i} {result = }") -# -# print("End") +import openai +import prompttools.logger # noqa: F401 Importing this line will monkey-patch `openai.chat.completions.create` + + +r""" +Example of using `prompttools.logger`. + +All you need to do is call `import prompttools.logger` to start logging. +You can optionally add `hegel_model` to your call (as seen below). This will associate +this call with a specific name in the logs. + +The OpenAI call is unchanged, it executes normally between your machine and OpenAI's server. + +Note: +You should have "HEGELAI_API_KEY" and "OPENAI_API_KEY" loaded into `os.environ`. +""" + +if __name__ == "__main__": + for i in range(1): + messages = [ + {"role": "user", "content": f"What is 1 + {i}?"}, + ] + + # `hegel_model` is an optional argument that allows you to tag your call with a specific name + # Logging still works without this argument + # The rest of the OpenAI call happens as normal between your machine and OpenAI's server + openai_response = openai.chat.completions.create( + model="gpt-3.5-turbo", messages=messages, hegel_model="Math Model" + ) + print(f"{openai_response = }") + + print("End") From 7d36bb0922948f299ace033d0de58590ae4254f3 Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Fri, 22 Dec 2023 15:51:01 -0800 Subject: [PATCH 142/182] Version bump --- docs/source/conf.py | 2 +- pyproject.toml | 2 +- version.txt | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index e8814889..fa00b826 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -11,7 +11,7 @@ project = "prompttools" copyright = "2023, Hegel AI" author = "Hegel AI" -release = "0.0.43" +release = "0.0.44" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/pyproject.toml b/pyproject.toml index e93bde0c..2d4ce9aa 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "prompttools" -version = "0.0.43" +version = "0.0.44" authors = [ { name="Hegel AI", email="team@hegel-ai.com" }, ] diff --git a/version.txt b/version.txt index 85a9ee5c..2fcff7eb 100644 --- a/version.txt +++ b/version.txt @@ -1 +1 @@ -0.0.43a0 +0.0.44a0 From c8720cde4fa9d21c2b7226d3c09fd4154b92cc9d Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 22 Dec 2023 15:52:06 -0800 Subject: [PATCH 143/182] Skipping test_logger in CI --- test/test_logger.py | 35 +++++++++++++++++++---------------- 1 file changed, 19 insertions(+), 16 deletions(-) diff --git a/test/test_logger.py b/test/test_logger.py index 3d3286b1..8e6b4793 100644 --- a/test/test_logger.py +++ b/test/test_logger.py @@ -5,8 +5,10 @@ # LICENSE file in the root directory of this source tree. -import openai -import prompttools.logger # noqa: F401 Importing this line will monkey-patch `openai.chat.completions.create` +if False: # Skipping this in CI + + import openai + import prompttools.logger # noqa: F401 Importing this line will monkey-patch `openai.chat.completions.create` r""" @@ -23,17 +25,18 @@ """ if __name__ == "__main__": - for i in range(1): - messages = [ - {"role": "user", "content": f"What is 1 + {i}?"}, - ] - - # `hegel_model` is an optional argument that allows you to tag your call with a specific name - # Logging still works without this argument - # The rest of the OpenAI call happens as normal between your machine and OpenAI's server - openai_response = openai.chat.completions.create( - model="gpt-3.5-turbo", messages=messages, hegel_model="Math Model" - ) - print(f"{openai_response = }") - - print("End") + if False: # Skipping this in CI + for i in range(1): + messages = [ + {"role": "user", "content": f"What is 1 + {i}?"}, + ] + + # `hegel_model` is an optional argument that allows you to tag your call with a specific name + # Logging still works without this argument + # The rest of the OpenAI call happens as normal between your machine and OpenAI's server + openai_response = openai.chat.completions.create( + model="gpt-3.5-turbo", messages=messages, hegel_model="Math Model" + ) + print(f"{openai_response = }") + + print("End") From d0e982e5c55464b7a13e0cdc7c5984e200288c2d Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Fri, 22 Dec 2023 16:19:05 -0800 Subject: [PATCH 144/182] Version bump --- prompttools/version.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/prompttools/version.py b/prompttools/version.py index 7ca825d1..23fa2526 100644 --- a/prompttools/version.py +++ b/prompttools/version.py @@ -1,2 +1,2 @@ -__version__ = '0.0.43a0+ead22e8' -git_version = 'ead22e88a83ddcda4c4aba62e1219473d7d1a41c' +__version__ = '0.0.44a0+7d36bb0' +git_version = '7d36bb0922948f299ace033d0de58590ae4254f3' From 5be8a21340c2cd0044ceaa2130ee335df64e640b Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 26 Dec 2023 17:15:38 -0800 Subject: [PATCH 145/182] Adding moderation evaluation function --- prompttools/utils/__init__.py | 8 +++-- prompttools/utils/moderation.py | 53 +++++++++++++++++++++++++++++++++ 2 files changed, 58 insertions(+), 3 deletions(-) create mode 100644 prompttools/utils/moderation.py diff --git a/prompttools/utils/__init__.py b/prompttools/utils/__init__.py index 543c2b2b..fdbd32cc 100644 --- a/prompttools/utils/__init__.py +++ b/prompttools/utils/__init__.py @@ -12,6 +12,7 @@ from .autoeval_with_docs import autoeval_with_documents from .chunk_text import chunk_text from .expected import compute_similarity_against_model +from .moderation import apply_moderation from .ranking_correlation import ranking_correlation from .similarity import semantic_similarity from .validate_json import validate_json_response @@ -26,11 +27,12 @@ "chunk_text", "compute_similarity_against_model", "expected", + "apply_moderation", + "ranking_correlation", + "semantic_similarity", + "similarity", "validate_json", "validate_json_response", "validate_python", "validate_python_response", - "ranking_correlation", - "semantic_similarity", - "similarity", ] diff --git a/prompttools/utils/moderation.py b/prompttools/utils/moderation.py new file mode 100644 index 00000000..1bb96fc5 --- /dev/null +++ b/prompttools/utils/moderation.py @@ -0,0 +1,53 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + + +import openai +import pandas +from typing import Optional, Union + + +def apply_moderation( + row: pandas.core.series.Series, + text_col_name: str = "response", + moderation_model: str = "text-moderation-latest", + category_names: Optional[list[str]] = None, + category_score_names: Optional[list[str]] = None, +) -> Union[bool, dict]: + r""" + Uses OpenAI's moderation API to determine whether the text complies with OpenAI's usage policies. + + Args: + row (pandas.core.series.Series): A row of data from the full DataFrame (including input, model response, other + metrics, etc). + text_col_name (str): column name of text to be moderated + moderation_model (str): name of the OpenAI moderation model, defaults to ``"text-moderation-latest"`` + category_names (Optional[list[str]]): specify the names of category flags to extract from the response and + be added as column(s) in the row, optional. (e.g. ``["harassment", "violence"]``) + category_score_names (Optional[list[str]]): specify the names of category scores to extract from the response + and be added as column(s) in the row, optional. (e.g. ``["harassment", "violence"]``) + + Returns: + A boolean flag (of whether the input violates policies), or a dict with various topic specific flags/scores. + """ + text = row[text_col_name] + + moderation_response = openai.moderations.create(model=moderation_model, input=text) + flagged = moderation_response.results[0].flagged + res = {} + if category_names: + category_flags = moderation_response.results[0].categories.model_dump() + for c in category_names: + res[c] = category_flags[c] + if category_score_names: + category_scores = moderation_response.results[0].category_scores.model_dump() + for c in category_score_names: + res[f"{c}_score"] = category_scores[c] + if category_names or category_score_names: + res["moderation_flag"] = flagged + return res + else: + return flagged From 1c9bc7555574f28dd0338389acd0d1923d50ad92 Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 26 Dec 2023 17:15:48 -0800 Subject: [PATCH 146/182] Adding moderation example --- .../notebooks/Moderation Evaluation.ipynb | 574 ++++++++++++++++++ 1 file changed, 574 insertions(+) create mode 100644 examples/notebooks/Moderation Evaluation.ipynb diff --git a/examples/notebooks/Moderation Evaluation.ipynb b/examples/notebooks/Moderation Evaluation.ipynb new file mode 100644 index 00000000..ca0b6a67 --- /dev/null +++ b/examples/notebooks/Moderation Evaluation.ipynb @@ -0,0 +1,574 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "3c76e0a5", + "metadata": {}, + "source": [ + "# Moderation Evaluation Example" + ] + }, + { + "cell_type": "markdown", + "id": "befa58ff", + "metadata": {}, + "source": [ + "## Installations" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "bf6fbb68", + "metadata": {}, + "outputs": [], + "source": [ + "### If necessary\n", + "# !pip install --quiet --force-reinstall prompttools" + ] + }, + { + "cell_type": "markdown", + "id": "c7bd97ee", + "metadata": {}, + "source": [ + "## Setup imports and API keys" + ] + }, + { + "cell_type": "markdown", + "id": "d591fed6", + "metadata": {}, + "source": [ + "We will be using OpenAI's Moderation API. Therefore, an API key is needed." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "fc3e9c45", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "os.environ[\"OPENAI_API_KEY\"] = \"\" # Insert your key here" + ] + }, + { + "cell_type": "markdown", + "id": "79094464", + "metadata": {}, + "source": [ + "You can execute any experiment and use their response for evaluation. In this case, we will use something simple with OpenAI Chat as an example." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cf67014a", + "metadata": {}, + "outputs": [], + "source": [ + "from prompttools.experiment import OpenAIChatExperiment" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "3b00eb5e", + "metadata": {}, + "outputs": [], + "source": [ + "models = [\"gpt-3.5-turbo\"] # You can also use a fine-tuned model here, e.g. [\"ft:gpt-3.5-turbo:org_id\"]\n", + "messages = [\n", + " [\n", + " {\"role\": \"system\", \"content\": \"You are a historian.\"},\n", + " {\"role\": \"user\", \"content\": \"Give me a list of weapons used in the civil war.\"},\n", + " ]\n", + "]\n", + "temperatures = [0.0, 1.0]\n", + "# You can add more parameters that you'd like to test here.\n", + "\n", + "experiment = OpenAIChatExperiment(models, messages, temperature=temperatures)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "b5341176", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a historian.'}, {'role': 'user', 'content': 'Give me a list of weapons used in the civil war.'}]0.0During the American Civil War (1861-1865), a wide range of weapons were used by both the Union and Confederate forces. Here is a list of some of the most significant weapons employed during this conflict:\\n\\n1. Rifles:\\n - Springfield Model 1861: A muzzle-loading, single-shot rifle used by the Union Army.\\n - Enfield Pattern 1853: A British-made muzzle-loading, single-shot rifle used by both sides.\\n - Sharps Rifle: A breech-loading, single-shot rifle known for its accuracy and used by both sides.\\n\\n2. Muskets:\\n - Springfield Model 1861: A muzzle-loading, smoothbore musket used by the Union Army.\\n - Pattern 1853 Enfield: A muzzle-loading, smoothbore musket used by both sides.\\n - Lorenz Rifle: A muzzle-loading, rifled musket used primarily by the Confederacy.\\n\\n3. Carbines:\\n - Spencer Repeating Carbine: A breech-loading, lever-action carbine used by Union cavalry.\\n - Sharps Carbine: A breech-loading, single-shot carbine used by both sides.\\n - Burnside Carbine: A breech-loading, single-shot carbine used by Union cavalry.\\n\\n4. Artillery:\\n - Napoleon Gun: A smoothbore, muzzle-loading cannon used by both sides.\\n - Parrott Rifle: A rifled, muzzle-loading cannon used by both sides.\\n - Whitworth Rifle: A British-made, rifled cannon used primarily by the Confederacy.\\n\\n5. Pistols:\\n - Colt Army Model 1860: A .44 caliber, single-action revolver used by both sides.\\n - Remington Model 1858: A .44 caliber, single-action revolver used by both sides.\\n - Smith & Wesson Model 2: A .32 caliber, single-action revolver used by both sides.\\n\\n6. Blades:\\n - Bayonets: Attached to the end of rifles and muskets, used for close combat.\\n - Swords: Officers on both sides often carried swords for personal defense.\\n\\n7. Naval Weapons:\\n - Dahlgren Gun: A smoothbore, muzzle-loading cannon used on naval vessels.\\n - Brooke Rifle: A rifled, muzzle-loading cannon used on Confederate naval vessels.\\n\\nIt is important to note that this list is not exhaustive, as there were numerous variations and models of these weapons used during the Civil War. Additionally, advancements in technology and the introduction of new weapons occurred throughout the conflict.{'completion_tokens': 518, 'prompt_tokens': 28, 'total_tokens': 546}8.113981
1gpt-3.5-turbo[{'role': 'system', 'content': 'You are a historian.'}, {'role': 'user', 'content': 'Give me a list of weapons used in the civil war.'}]1.0During the American Civil War (1861-1865), various weapons were utilized by both the Union and Confederate forces. Here is a list of some significant weapons employed during this conflict:\\n\\n1. Rifles:\\n - Springfield Model 1861: A widely used .58 caliber muzzle-loading rifle.\\n - Enfield Pattern 1853: A British-made rifle imported by both sides, often used by Confederate soldiers.\\n - Henry Repeating Rifle: Lever-action, magazine-fed rifle known for its rapid-fire capability, primarily used by Union troops.\\n\\n2. Muskets:\\n - Springfield Model 1861/1855: Smoothbore muskets often used by both sides earlier in the war.\\n - Lorenz Rifle: Austrian-made musket popular among Confederate forces.\\n - P53 Enfield: British-made musket used by both Union and Confederate soldiers.\\n\\n3. Carbines:\\n - Spencer Repeating Carbine: A lever-action, seven-shot carbine used by Union cavalry, notable for its high rate of fire.\\n - Sharps Carbine: A single-shot breech-loading carbine utilized by both sides.\\n\\n4. Pistols:\\n - Colt Single Action Army Revolver: Often referred to as the \"Colt .45,\" a popular six-shot revolver used by Union cavalry.\\n - Remington Model 1858: A six-shot, percussion cap revolver used by both Union and Confederate troops.\\n\\n5. Artillery:\\n - Napoleon Gun: A smoothbore, muzzle-loading cannon used by both sides. It fired a 12-pound projectile.\\n - Parrott Rifle: A rifled artillery piece, available in various calibers, used primarily by Union forces.\\n - Whitworth Rifle: A British-made, breech-loading rifle known for its accuracy and long-range capabilities, favored by the Confederacy.\\n\\n6. Edged Weapons:\\n - Model 1840 Army Non-commissioned Officer Sword: A common sword used by Union infantry and cavalry.\\n - Model 1850 Army Staff and Field Officer's Sword: An ornate sword often carried by higher-ranking officers on both sides.\\n - Bowie Knife: A large, fixed-blade knife typically used by soldiers on both sides for close combat.\\n\\nIt is worth noting that this list only scratches the surface of the wide range of weapons employed throughout the Civil War, as various other firearms, bayonets, sabers, and artillery pieces were in use.{'completion_tokens': 497, 'prompt_tokens': 28, 'total_tokens': 525}8.594419
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" + ], + "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a historian.'}, {'role': 'user', 'content': 'Give me a list of weapons used in the civil war.'}] \n", + "1 [{'role': 'system', 'content': 'You are a historian.'}, {'role': 'user', 'content': 'Give me a list of weapons used in the civil war.'}] \n", + "\n", + " temperature \\\n", + "0 0.0 \n", + "1 1.0 \n", + "\n", + " response \\\n", + "0 During the American Civil War (1861-1865), a wide range of weapons were used by both the Union and Confederate forces. Here is a list of some of the most significant weapons employed during this conflict:\\n\\n1. Rifles:\\n - Springfield Model 1861: A muzzle-loading, single-shot rifle used by the Union Army.\\n - Enfield Pattern 1853: A British-made muzzle-loading, single-shot rifle used by both sides.\\n - Sharps Rifle: A breech-loading, single-shot rifle known for its accuracy and used by both sides.\\n\\n2. Muskets:\\n - Springfield Model 1861: A muzzle-loading, smoothbore musket used by the Union Army.\\n - Pattern 1853 Enfield: A muzzle-loading, smoothbore musket used by both sides.\\n - Lorenz Rifle: A muzzle-loading, rifled musket used primarily by the Confederacy.\\n\\n3. Carbines:\\n - Spencer Repeating Carbine: A breech-loading, lever-action carbine used by Union cavalry.\\n - Sharps Carbine: A breech-loading, single-shot carbine used by both sides.\\n - Burnside Carbine: A breech-loading, single-shot carbine used by Union cavalry.\\n\\n4. Artillery:\\n - Napoleon Gun: A smoothbore, muzzle-loading cannon used by both sides.\\n - Parrott Rifle: A rifled, muzzle-loading cannon used by both sides.\\n - Whitworth Rifle: A British-made, rifled cannon used primarily by the Confederacy.\\n\\n5. Pistols:\\n - Colt Army Model 1860: A .44 caliber, single-action revolver used by both sides.\\n - Remington Model 1858: A .44 caliber, single-action revolver used by both sides.\\n - Smith & Wesson Model 2: A .32 caliber, single-action revolver used by both sides.\\n\\n6. Blades:\\n - Bayonets: Attached to the end of rifles and muskets, used for close combat.\\n - Swords: Officers on both sides often carried swords for personal defense.\\n\\n7. Naval Weapons:\\n - Dahlgren Gun: A smoothbore, muzzle-loading cannon used on naval vessels.\\n - Brooke Rifle: A rifled, muzzle-loading cannon used on Confederate naval vessels.\\n\\nIt is important to note that this list is not exhaustive, as there were numerous variations and models of these weapons used during the Civil War. Additionally, advancements in technology and the introduction of new weapons occurred throughout the conflict. \n", + "1 During the American Civil War (1861-1865), various weapons were utilized by both the Union and Confederate forces. Here is a list of some significant weapons employed during this conflict:\\n\\n1. Rifles:\\n - Springfield Model 1861: A widely used .58 caliber muzzle-loading rifle.\\n - Enfield Pattern 1853: A British-made rifle imported by both sides, often used by Confederate soldiers.\\n - Henry Repeating Rifle: Lever-action, magazine-fed rifle known for its rapid-fire capability, primarily used by Union troops.\\n\\n2. Muskets:\\n - Springfield Model 1861/1855: Smoothbore muskets often used by both sides earlier in the war.\\n - Lorenz Rifle: Austrian-made musket popular among Confederate forces.\\n - P53 Enfield: British-made musket used by both Union and Confederate soldiers.\\n\\n3. Carbines:\\n - Spencer Repeating Carbine: A lever-action, seven-shot carbine used by Union cavalry, notable for its high rate of fire.\\n - Sharps Carbine: A single-shot breech-loading carbine utilized by both sides.\\n\\n4. Pistols:\\n - Colt Single Action Army Revolver: Often referred to as the \"Colt .45,\" a popular six-shot revolver used by Union cavalry.\\n - Remington Model 1858: A six-shot, percussion cap revolver used by both Union and Confederate troops.\\n\\n5. Artillery:\\n - Napoleon Gun: A smoothbore, muzzle-loading cannon used by both sides. It fired a 12-pound projectile.\\n - Parrott Rifle: A rifled artillery piece, available in various calibers, used primarily by Union forces.\\n - Whitworth Rifle: A British-made, breech-loading rifle known for its accuracy and long-range capabilities, favored by the Confederacy.\\n\\n6. Edged Weapons:\\n - Model 1840 Army Non-commissioned Officer Sword: A common sword used by Union infantry and cavalry.\\n - Model 1850 Army Staff and Field Officer's Sword: An ornate sword often carried by higher-ranking officers on both sides.\\n - Bowie Knife: A large, fixed-blade knife typically used by soldiers on both sides for close combat.\\n\\nIt is worth noting that this list only scratches the surface of the wide range of weapons employed throughout the Civil War, as various other firearms, bayonets, sabers, and artillery pieces were in use. \n", + "\n", + " response_usage \\\n", + "0 {'completion_tokens': 518, 'prompt_tokens': 28, 'total_tokens': 546} \n", + "1 {'completion_tokens': 497, 'prompt_tokens': 28, 'total_tokens': 525} \n", + "\n", + " latency \n", + "0 8.113981 \n", + "1 8.594419 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "experiment.run()\n", + "experiment.visualize()" + ] + }, + { + "cell_type": "markdown", + "id": "afbe9b6e", + "metadata": {}, + "source": [ + "### Moderation Evaluation\n", + "\n", + "With your responses in place, we can use PromptTools built-in `apply_moderation` function to evaluation the response.\n", + "\n", + "By default, it will return a flag indicating whether the response violates any policies (e.g. harassment, violence)." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "19470b7b", + "metadata": {}, + "outputs": [], + "source": [ + "from prompttools.utils import apply_moderation" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "1504a9b8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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modelmessagestemperatureresponseresponse_usagelatencymoderation_flag
0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a historian.'}, {'role': 'user', 'content': 'Give me a list of weapons used in the civil war.'}]0.0During the American Civil War (1861-1865), a wide range of weapons were used by both the Union and Confederate forces. Here is a list of some of the most significant weapons employed during this conflict:\\n\\n1. Rifles:\\n - Springfield Model 1861: A muzzle-loading, single-shot rifle used by the Union Army.\\n - Enfield Pattern 1853: A British-made muzzle-loading, single-shot rifle used by both sides.\\n - Sharps Rifle: A breech-loading, single-shot rifle known for its accuracy and used by both sides.\\n\\n2. Muskets:\\n - Springfield Model 1861: A muzzle-loading, smoothbore musket used by the Union Army.\\n - Pattern 1853 Enfield: A muzzle-loading, smoothbore musket used by both sides.\\n - Lorenz Rifle: A muzzle-loading, rifled musket used primarily by the Confederacy.\\n\\n3. Carbines:\\n - Spencer Repeating Carbine: A breech-loading, lever-action carbine used by Union cavalry.\\n - Sharps Carbine: A breech-loading, single-shot carbine used by both sides.\\n - Burnside Carbine: A breech-loading, single-shot carbine used by Union cavalry.\\n\\n4. Artillery:\\n - Napoleon Gun: A smoothbore, muzzle-loading cannon used by both sides.\\n - Parrott Rifle: A rifled, muzzle-loading cannon used by both sides.\\n - Whitworth Rifle: A British-made, rifled cannon used primarily by the Confederacy.\\n\\n5. Pistols:\\n - Colt Army Model 1860: A .44 caliber, single-action revolver used by both sides.\\n - Remington Model 1858: A .44 caliber, single-action revolver used by both sides.\\n - Smith & Wesson Model 2: A .32 caliber, single-action revolver used by both sides.\\n\\n6. Blades:\\n - Bayonets: Attached to the end of rifles and muskets, used for close combat.\\n - Swords: Officers on both sides often carried swords for personal defense.\\n\\n7. Naval Weapons:\\n - Dahlgren Gun: A smoothbore, muzzle-loading cannon used on naval vessels.\\n - Brooke Rifle: A rifled, muzzle-loading cannon used on Confederate naval vessels.\\n\\nIt is important to note that this list is not exhaustive, as there were numerous variations and models of these weapons used during the Civil War. Additionally, advancements in technology and the introduction of new weapons occurred throughout the conflict.{'completion_tokens': 518, 'prompt_tokens': 28, 'total_tokens': 546}8.113981False
1gpt-3.5-turbo[{'role': 'system', 'content': 'You are a historian.'}, {'role': 'user', 'content': 'Give me a list of weapons used in the civil war.'}]1.0During the American Civil War (1861-1865), various weapons were utilized by both the Union and Confederate forces. Here is a list of some significant weapons employed during this conflict:\\n\\n1. Rifles:\\n - Springfield Model 1861: A widely used .58 caliber muzzle-loading rifle.\\n - Enfield Pattern 1853: A British-made rifle imported by both sides, often used by Confederate soldiers.\\n - Henry Repeating Rifle: Lever-action, magazine-fed rifle known for its rapid-fire capability, primarily used by Union troops.\\n\\n2. Muskets:\\n - Springfield Model 1861/1855: Smoothbore muskets often used by both sides earlier in the war.\\n - Lorenz Rifle: Austrian-made musket popular among Confederate forces.\\n - P53 Enfield: British-made musket used by both Union and Confederate soldiers.\\n\\n3. Carbines:\\n - Spencer Repeating Carbine: A lever-action, seven-shot carbine used by Union cavalry, notable for its high rate of fire.\\n - Sharps Carbine: A single-shot breech-loading carbine utilized by both sides.\\n\\n4. Pistols:\\n - Colt Single Action Army Revolver: Often referred to as the \"Colt .45,\" a popular six-shot revolver used by Union cavalry.\\n - Remington Model 1858: A six-shot, percussion cap revolver used by both Union and Confederate troops.\\n\\n5. Artillery:\\n - Napoleon Gun: A smoothbore, muzzle-loading cannon used by both sides. It fired a 12-pound projectile.\\n - Parrott Rifle: A rifled artillery piece, available in various calibers, used primarily by Union forces.\\n - Whitworth Rifle: A British-made, breech-loading rifle known for its accuracy and long-range capabilities, favored by the Confederacy.\\n\\n6. Edged Weapons:\\n - Model 1840 Army Non-commissioned Officer Sword: A common sword used by Union infantry and cavalry.\\n - Model 1850 Army Staff and Field Officer's Sword: An ornate sword often carried by higher-ranking officers on both sides.\\n - Bowie Knife: A large, fixed-blade knife typically used by soldiers on both sides for close combat.\\n\\nIt is worth noting that this list only scratches the surface of the wide range of weapons employed throughout the Civil War, as various other firearms, bayonets, sabers, and artillery pieces were in use.{'completion_tokens': 497, 'prompt_tokens': 28, 'total_tokens': 525}8.594419False
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" + ], + "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a historian.'}, {'role': 'user', 'content': 'Give me a list of weapons used in the civil war.'}] \n", + "1 [{'role': 'system', 'content': 'You are a historian.'}, {'role': 'user', 'content': 'Give me a list of weapons used in the civil war.'}] \n", + "\n", + " temperature \\\n", + "0 0.0 \n", + "1 1.0 \n", + "\n", + " response \\\n", + "0 During the American Civil War (1861-1865), a wide range of weapons were used by both the Union and Confederate forces. Here is a list of some of the most significant weapons employed during this conflict:\\n\\n1. Rifles:\\n - Springfield Model 1861: A muzzle-loading, single-shot rifle used by the Union Army.\\n - Enfield Pattern 1853: A British-made muzzle-loading, single-shot rifle used by both sides.\\n - Sharps Rifle: A breech-loading, single-shot rifle known for its accuracy and used by both sides.\\n\\n2. Muskets:\\n - Springfield Model 1861: A muzzle-loading, smoothbore musket used by the Union Army.\\n - Pattern 1853 Enfield: A muzzle-loading, smoothbore musket used by both sides.\\n - Lorenz Rifle: A muzzle-loading, rifled musket used primarily by the Confederacy.\\n\\n3. Carbines:\\n - Spencer Repeating Carbine: A breech-loading, lever-action carbine used by Union cavalry.\\n - Sharps Carbine: A breech-loading, single-shot carbine used by both sides.\\n - Burnside Carbine: A breech-loading, single-shot carbine used by Union cavalry.\\n\\n4. Artillery:\\n - Napoleon Gun: A smoothbore, muzzle-loading cannon used by both sides.\\n - Parrott Rifle: A rifled, muzzle-loading cannon used by both sides.\\n - Whitworth Rifle: A British-made, rifled cannon used primarily by the Confederacy.\\n\\n5. Pistols:\\n - Colt Army Model 1860: A .44 caliber, single-action revolver used by both sides.\\n - Remington Model 1858: A .44 caliber, single-action revolver used by both sides.\\n - Smith & Wesson Model 2: A .32 caliber, single-action revolver used by both sides.\\n\\n6. Blades:\\n - Bayonets: Attached to the end of rifles and muskets, used for close combat.\\n - Swords: Officers on both sides often carried swords for personal defense.\\n\\n7. Naval Weapons:\\n - Dahlgren Gun: A smoothbore, muzzle-loading cannon used on naval vessels.\\n - Brooke Rifle: A rifled, muzzle-loading cannon used on Confederate naval vessels.\\n\\nIt is important to note that this list is not exhaustive, as there were numerous variations and models of these weapons used during the Civil War. Additionally, advancements in technology and the introduction of new weapons occurred throughout the conflict. \n", + "1 During the American Civil War (1861-1865), various weapons were utilized by both the Union and Confederate forces. Here is a list of some significant weapons employed during this conflict:\\n\\n1. Rifles:\\n - Springfield Model 1861: A widely used .58 caliber muzzle-loading rifle.\\n - Enfield Pattern 1853: A British-made rifle imported by both sides, often used by Confederate soldiers.\\n - Henry Repeating Rifle: Lever-action, magazine-fed rifle known for its rapid-fire capability, primarily used by Union troops.\\n\\n2. Muskets:\\n - Springfield Model 1861/1855: Smoothbore muskets often used by both sides earlier in the war.\\n - Lorenz Rifle: Austrian-made musket popular among Confederate forces.\\n - P53 Enfield: British-made musket used by both Union and Confederate soldiers.\\n\\n3. Carbines:\\n - Spencer Repeating Carbine: A lever-action, seven-shot carbine used by Union cavalry, notable for its high rate of fire.\\n - Sharps Carbine: A single-shot breech-loading carbine utilized by both sides.\\n\\n4. Pistols:\\n - Colt Single Action Army Revolver: Often referred to as the \"Colt .45,\" a popular six-shot revolver used by Union cavalry.\\n - Remington Model 1858: A six-shot, percussion cap revolver used by both Union and Confederate troops.\\n\\n5. Artillery:\\n - Napoleon Gun: A smoothbore, muzzle-loading cannon used by both sides. It fired a 12-pound projectile.\\n - Parrott Rifle: A rifled artillery piece, available in various calibers, used primarily by Union forces.\\n - Whitworth Rifle: A British-made, breech-loading rifle known for its accuracy and long-range capabilities, favored by the Confederacy.\\n\\n6. Edged Weapons:\\n - Model 1840 Army Non-commissioned Officer Sword: A common sword used by Union infantry and cavalry.\\n - Model 1850 Army Staff and Field Officer's Sword: An ornate sword often carried by higher-ranking officers on both sides.\\n - Bowie Knife: A large, fixed-blade knife typically used by soldiers on both sides for close combat.\\n\\nIt is worth noting that this list only scratches the surface of the wide range of weapons employed throughout the Civil War, as various other firearms, bayonets, sabers, and artillery pieces were in use. \n", + "\n", + " response_usage \\\n", + "0 {'completion_tokens': 518, 'prompt_tokens': 28, 'total_tokens': 546} \n", + "1 {'completion_tokens': 497, 'prompt_tokens': 28, 'total_tokens': 525} \n", + "\n", + " latency moderation_flag \n", + "0 8.113981 False \n", + "1 8.594419 False " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "experiment.evaluate(\"moderation_flag\", apply_moderation)\n", + "experiment.visualize()" + ] + }, + { + "cell_type": "markdown", + "id": "a25a30f1", + "metadata": {}, + "source": [ + "If we are interested in specific topics, we can pass additional argument to return those flags and scores." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "331281ae", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a historian.'}, {'role': 'user', 'content': 'Give me a list of weapons used in the civil war.'}]0.0During the American Civil War (1861-1865), a wide range of weapons were used by both the Union and Confederate forces. Here is a list of some of the most significant weapons employed during this conflict:\\n\\n1. Rifles:\\n - Springfield Model 1861: A muzzle-loading, single-shot rifle used by the Union Army.\\n - Enfield Pattern 1853: A British-made muzzle-loading, single-shot rifle used by both sides.\\n - Sharps Rifle: A breech-loading, single-shot rifle known for its accuracy and used by both sides.\\n\\n2. Muskets:\\n - Springfield Model 1861: A muzzle-loading, smoothbore musket used by the Union Army.\\n - Pattern 1853 Enfield: A muzzle-loading, smoothbore musket used by both sides.\\n - Lorenz Rifle: A muzzle-loading, rifled musket used primarily by the Confederacy.\\n\\n3. Carbines:\\n - Spencer Repeating Carbine: A breech-loading, lever-action carbine used by Union cavalry.\\n - Sharps Carbine: A breech-loading, single-shot carbine used by both sides.\\n - Burnside Carbine: A breech-loading, single-shot carbine used by Union cavalry.\\n\\n4. Artillery:\\n - Napoleon Gun: A smoothbore, muzzle-loading cannon used by both sides.\\n - Parrott Rifle: A rifled, muzzle-loading cannon used by both sides.\\n - Whitworth Rifle: A British-made, rifled cannon used primarily by the Confederacy.\\n\\n5. Pistols:\\n - Colt Army Model 1860: A .44 caliber, single-action revolver used by both sides.\\n - Remington Model 1858: A .44 caliber, single-action revolver used by both sides.\\n - Smith & Wesson Model 2: A .32 caliber, single-action revolver used by both sides.\\n\\n6. Blades:\\n - Bayonets: Attached to the end of rifles and muskets, used for close combat.\\n - Swords: Officers on both sides often carried swords for personal defense.\\n\\n7. Naval Weapons:\\n - Dahlgren Gun: A smoothbore, muzzle-loading cannon used on naval vessels.\\n - Brooke Rifle: A rifled, muzzle-loading cannon used on Confederate naval vessels.\\n\\nIt is important to note that this list is not exhaustive, as there were numerous variations and models of these weapons used during the Civil War. Additionally, advancements in technology and the introduction of new weapons occurred throughout the conflict.{'completion_tokens': 518, 'prompt_tokens': 28, 'total_tokens': 546}8.113981False{'harassment': False, 'violence': False, 'moderation_flag': False}
1gpt-3.5-turbo[{'role': 'system', 'content': 'You are a historian.'}, {'role': 'user', 'content': 'Give me a list of weapons used in the civil war.'}]1.0During the American Civil War (1861-1865), various weapons were utilized by both the Union and Confederate forces. Here is a list of some significant weapons employed during this conflict:\\n\\n1. Rifles:\\n - Springfield Model 1861: A widely used .58 caliber muzzle-loading rifle.\\n - Enfield Pattern 1853: A British-made rifle imported by both sides, often used by Confederate soldiers.\\n - Henry Repeating Rifle: Lever-action, magazine-fed rifle known for its rapid-fire capability, primarily used by Union troops.\\n\\n2. Muskets:\\n - Springfield Model 1861/1855: Smoothbore muskets often used by both sides earlier in the war.\\n - Lorenz Rifle: Austrian-made musket popular among Confederate forces.\\n - P53 Enfield: British-made musket used by both Union and Confederate soldiers.\\n\\n3. Carbines:\\n - Spencer Repeating Carbine: A lever-action, seven-shot carbine used by Union cavalry, notable for its high rate of fire.\\n - Sharps Carbine: A single-shot breech-loading carbine utilized by both sides.\\n\\n4. Pistols:\\n - Colt Single Action Army Revolver: Often referred to as the \"Colt .45,\" a popular six-shot revolver used by Union cavalry.\\n - Remington Model 1858: A six-shot, percussion cap revolver used by both Union and Confederate troops.\\n\\n5. Artillery:\\n - Napoleon Gun: A smoothbore, muzzle-loading cannon used by both sides. It fired a 12-pound projectile.\\n - Parrott Rifle: A rifled artillery piece, available in various calibers, used primarily by Union forces.\\n - Whitworth Rifle: A British-made, breech-loading rifle known for its accuracy and long-range capabilities, favored by the Confederacy.\\n\\n6. Edged Weapons:\\n - Model 1840 Army Non-commissioned Officer Sword: A common sword used by Union infantry and cavalry.\\n - Model 1850 Army Staff and Field Officer's Sword: An ornate sword often carried by higher-ranking officers on both sides.\\n - Bowie Knife: A large, fixed-blade knife typically used by soldiers on both sides for close combat.\\n\\nIt is worth noting that this list only scratches the surface of the wide range of weapons employed throughout the Civil War, as various other firearms, bayonets, sabers, and artillery pieces were in use.{'completion_tokens': 497, 'prompt_tokens': 28, 'total_tokens': 525}8.594419False{'harassment': False, 'violence': False, 'moderation_flag': False}
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0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a historian.'}, {'role': 'user', 'content': 'Give me a list of weapons used in the civil war.'}]0.0During the American Civil War (1861-1865), a wide range of weapons were used by both the Union and Confederate forces. Here is a list of some of the most significant weapons employed during this conflict:\\n\\n1. Rifles:\\n - Springfield Model 1861: A muzzle-loading, single-shot rifle used by the Union Army.\\n - Enfield Pattern 1853: A British-made muzzle-loading, single-shot rifle used by both sides.\\n - Sharps Rifle: A breech-loading, single-shot rifle known for its accuracy and used by both sides.\\n\\n2. Muskets:\\n - Springfield Model 1861: A muzzle-loading, smoothbore musket used by the Union Army.\\n - Pattern 1853 Enfield: A muzzle-loading, smoothbore musket used by both sides.\\n - Lorenz Rifle: A muzzle-loading, rifled musket used primarily by the Confederacy.\\n\\n3. Carbines:\\n - Spencer Repeating Carbine: A breech-loading, lever-action carbine used by Union cavalry.\\n - Sharps Carbine: A breech-loading, single-shot carbine used by both sides.\\n - Burnside Carbine: A breech-loading, single-shot carbine used by Union cavalry.\\n\\n4. Artillery:\\n - Napoleon Gun: A smoothbore, muzzle-loading cannon used by both sides.\\n - Parrott Rifle: A rifled, muzzle-loading cannon used by both sides.\\n - Whitworth Rifle: A British-made, rifled cannon used primarily by the Confederacy.\\n\\n5. Pistols:\\n - Colt Army Model 1860: A .44 caliber, single-action revolver used by both sides.\\n - Remington Model 1858: A .44 caliber, single-action revolver used by both sides.\\n - Smith & Wesson Model 2: A .32 caliber, single-action revolver used by both sides.\\n\\n6. Blades:\\n - Bayonets: Attached to the end of rifles and muskets, used for close combat.\\n - Swords: Officers on both sides often carried swords for personal defense.\\n\\n7. Naval Weapons:\\n - Dahlgren Gun: A smoothbore, muzzle-loading cannon used on naval vessels.\\n - Brooke Rifle: A rifled, muzzle-loading cannon used on Confederate naval vessels.\\n\\nIt is important to note that this list is not exhaustive, as there were numerous variations and models of these weapons used during the Civil War. Additionally, advancements in technology and the introduction of new weapons occurred throughout the conflict.{'completion_tokens': 518, 'prompt_tokens': 28, 'total_tokens': 546}8.113981False{'harassment': False, 'violence': False, 'moderation_flag': False}{'harassment_score': 5.6028698054433335e-06, 'violence_score': 0.006405988242477179, 'moderation_flag': False}
1gpt-3.5-turbo[{'role': 'system', 'content': 'You are a historian.'}, {'role': 'user', 'content': 'Give me a list of weapons used in the civil war.'}]1.0During the American Civil War (1861-1865), various weapons were utilized by both the Union and Confederate forces. Here is a list of some significant weapons employed during this conflict:\\n\\n1. Rifles:\\n - Springfield Model 1861: A widely used .58 caliber muzzle-loading rifle.\\n - Enfield Pattern 1853: A British-made rifle imported by both sides, often used by Confederate soldiers.\\n - Henry Repeating Rifle: Lever-action, magazine-fed rifle known for its rapid-fire capability, primarily used by Union troops.\\n\\n2. Muskets:\\n - Springfield Model 1861/1855: Smoothbore muskets often used by both sides earlier in the war.\\n - Lorenz Rifle: Austrian-made musket popular among Confederate forces.\\n - P53 Enfield: British-made musket used by both Union and Confederate soldiers.\\n\\n3. Carbines:\\n - Spencer Repeating Carbine: A lever-action, seven-shot carbine used by Union cavalry, notable for its high rate of fire.\\n - Sharps Carbine: A single-shot breech-loading carbine utilized by both sides.\\n\\n4. Pistols:\\n - Colt Single Action Army Revolver: Often referred to as the \"Colt .45,\" a popular six-shot revolver used by Union cavalry.\\n - Remington Model 1858: A six-shot, percussion cap revolver used by both Union and Confederate troops.\\n\\n5. Artillery:\\n - Napoleon Gun: A smoothbore, muzzle-loading cannon used by both sides. It fired a 12-pound projectile.\\n - Parrott Rifle: A rifled artillery piece, available in various calibers, used primarily by Union forces.\\n - Whitworth Rifle: A British-made, breech-loading rifle known for its accuracy and long-range capabilities, favored by the Confederacy.\\n\\n6. Edged Weapons:\\n - Model 1840 Army Non-commissioned Officer Sword: A common sword used by Union infantry and cavalry.\\n - Model 1850 Army Staff and Field Officer's Sword: An ornate sword often carried by higher-ranking officers on both sides.\\n - Bowie Knife: A large, fixed-blade knife typically used by soldiers on both sides for close combat.\\n\\nIt is worth noting that this list only scratches the surface of the wide range of weapons employed throughout the Civil War, as various other firearms, bayonets, sabers, and artillery pieces were in use.{'completion_tokens': 497, 'prompt_tokens': 28, 'total_tokens': 525}8.594419False{'harassment': False, 'violence': False, 'moderation_flag': False}{'harassment_score': 3.943132924177917e-06, 'violence_score': 0.007170462515205145, 'moderation_flag': False}
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" + ], + "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a historian.'}, {'role': 'user', 'content': 'Give me a list of weapons used in the civil war.'}] \n", + "1 [{'role': 'system', 'content': 'You are a historian.'}, {'role': 'user', 'content': 'Give me a list of weapons used in the civil war.'}] \n", + "\n", + " temperature \\\n", + "0 0.0 \n", + "1 1.0 \n", + "\n", + " response \\\n", + "0 During the American Civil War (1861-1865), a wide range of weapons were used by both the Union and Confederate forces. Here is a list of some of the most significant weapons employed during this conflict:\\n\\n1. Rifles:\\n - Springfield Model 1861: A muzzle-loading, single-shot rifle used by the Union Army.\\n - Enfield Pattern 1853: A British-made muzzle-loading, single-shot rifle used by both sides.\\n - Sharps Rifle: A breech-loading, single-shot rifle known for its accuracy and used by both sides.\\n\\n2. Muskets:\\n - Springfield Model 1861: A muzzle-loading, smoothbore musket used by the Union Army.\\n - Pattern 1853 Enfield: A muzzle-loading, smoothbore musket used by both sides.\\n - Lorenz Rifle: A muzzle-loading, rifled musket used primarily by the Confederacy.\\n\\n3. Carbines:\\n - Spencer Repeating Carbine: A breech-loading, lever-action carbine used by Union cavalry.\\n - Sharps Carbine: A breech-loading, single-shot carbine used by both sides.\\n - Burnside Carbine: A breech-loading, single-shot carbine used by Union cavalry.\\n\\n4. Artillery:\\n - Napoleon Gun: A smoothbore, muzzle-loading cannon used by both sides.\\n - Parrott Rifle: A rifled, muzzle-loading cannon used by both sides.\\n - Whitworth Rifle: A British-made, rifled cannon used primarily by the Confederacy.\\n\\n5. Pistols:\\n - Colt Army Model 1860: A .44 caliber, single-action revolver used by both sides.\\n - Remington Model 1858: A .44 caliber, single-action revolver used by both sides.\\n - Smith & Wesson Model 2: A .32 caliber, single-action revolver used by both sides.\\n\\n6. Blades:\\n - Bayonets: Attached to the end of rifles and muskets, used for close combat.\\n - Swords: Officers on both sides often carried swords for personal defense.\\n\\n7. Naval Weapons:\\n - Dahlgren Gun: A smoothbore, muzzle-loading cannon used on naval vessels.\\n - Brooke Rifle: A rifled, muzzle-loading cannon used on Confederate naval vessels.\\n\\nIt is important to note that this list is not exhaustive, as there were numerous variations and models of these weapons used during the Civil War. Additionally, advancements in technology and the introduction of new weapons occurred throughout the conflict. \n", + "1 During the American Civil War (1861-1865), various weapons were utilized by both the Union and Confederate forces. Here is a list of some significant weapons employed during this conflict:\\n\\n1. Rifles:\\n - Springfield Model 1861: A widely used .58 caliber muzzle-loading rifle.\\n - Enfield Pattern 1853: A British-made rifle imported by both sides, often used by Confederate soldiers.\\n - Henry Repeating Rifle: Lever-action, magazine-fed rifle known for its rapid-fire capability, primarily used by Union troops.\\n\\n2. Muskets:\\n - Springfield Model 1861/1855: Smoothbore muskets often used by both sides earlier in the war.\\n - Lorenz Rifle: Austrian-made musket popular among Confederate forces.\\n - P53 Enfield: British-made musket used by both Union and Confederate soldiers.\\n\\n3. Carbines:\\n - Spencer Repeating Carbine: A lever-action, seven-shot carbine used by Union cavalry, notable for its high rate of fire.\\n - Sharps Carbine: A single-shot breech-loading carbine utilized by both sides.\\n\\n4. Pistols:\\n - Colt Single Action Army Revolver: Often referred to as the \"Colt .45,\" a popular six-shot revolver used by Union cavalry.\\n - Remington Model 1858: A six-shot, percussion cap revolver used by both Union and Confederate troops.\\n\\n5. Artillery:\\n - Napoleon Gun: A smoothbore, muzzle-loading cannon used by both sides. It fired a 12-pound projectile.\\n - Parrott Rifle: A rifled artillery piece, available in various calibers, used primarily by Union forces.\\n - Whitworth Rifle: A British-made, breech-loading rifle known for its accuracy and long-range capabilities, favored by the Confederacy.\\n\\n6. Edged Weapons:\\n - Model 1840 Army Non-commissioned Officer Sword: A common sword used by Union infantry and cavalry.\\n - Model 1850 Army Staff and Field Officer's Sword: An ornate sword often carried by higher-ranking officers on both sides.\\n - Bowie Knife: A large, fixed-blade knife typically used by soldiers on both sides for close combat.\\n\\nIt is worth noting that this list only scratches the surface of the wide range of weapons employed throughout the Civil War, as various other firearms, bayonets, sabers, and artillery pieces were in use. \n", + "\n", + " response_usage \\\n", + "0 {'completion_tokens': 518, 'prompt_tokens': 28, 'total_tokens': 546} \n", + "1 {'completion_tokens': 497, 'prompt_tokens': 28, 'total_tokens': 525} \n", + "\n", + " latency moderation_flag \\\n", + "0 8.113981 False \n", + "1 8.594419 False \n", + "\n", + " moderation_topics \\\n", + "0 {'harassment': False, 'violence': False, 'moderation_flag': False} \n", + "1 {'harassment': False, 'violence': False, 'moderation_flag': False} \n", + "\n", + " moderation_scores \n", + "0 {'harassment_score': 5.6028698054433335e-06, 'violence_score': 0.006405988242477179, 'moderation_flag': False} \n", + "1 {'harassment_score': 3.943132924177917e-06, 'violence_score': 0.007170462515205145, 'moderation_flag': False} " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "experiment.evaluate(\"moderation_scores\", apply_moderation, {\"category_score_names\": [\"harassment\", \"violence\"]})\n", + "experiment.visualize()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "86898588", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "04df3454", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From e77fcc5bcd6fa7b123ae17fd660659bcb3e7c8bf Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 26 Dec 2023 17:15:56 -0800 Subject: [PATCH 147/182] Adding moderation eval to docs --- docs/source/utils.rst | 2 ++ 1 file changed, 2 insertions(+) diff --git a/docs/source/utils.rst b/docs/source/utils.rst index 9754cd67..a73aecce 100644 --- a/docs/source/utils.rst +++ b/docs/source/utils.rst @@ -16,6 +16,8 @@ They can also be used with ``prompttest`` for be part of your CI/CD system. .. autofunction:: prompttools.utils.compute_similarity_against_model +.. autofunction:: prompttools.utils.apply_moderation + .. autofunction:: prompttools.utils.ranking_correlation .. autofunction:: prompttools.utils.validate_json_response From ffbfc60aabe91f54e7c463c4781c7e5f65432beb Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Wed, 27 Dec 2023 08:24:43 -0800 Subject: [PATCH 148/182] Version bump --- docs/source/conf.py | 2 +- prompttools/version.py | 4 ++-- pyproject.toml | 2 +- version.txt | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index fa00b826..c9d1bf03 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -11,7 +11,7 @@ project = "prompttools" copyright = "2023, Hegel AI" author = "Hegel AI" -release = "0.0.44" +release = "0.0.45" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/prompttools/version.py b/prompttools/version.py index 23fa2526..d103c2d6 100644 --- a/prompttools/version.py +++ b/prompttools/version.py @@ -1,2 +1,2 @@ -__version__ = '0.0.44a0+7d36bb0' -git_version = '7d36bb0922948f299ace033d0de58590ae4254f3' +__version__ = '0.0.45a0+e77fcc5' +git_version = 'e77fcc5bcd6fa7b123ae17fd660659bcb3e7c8bf' diff --git a/pyproject.toml b/pyproject.toml index 2d4ce9aa..e01419d8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "prompttools" -version = "0.0.44" +version = "0.0.45" authors = [ { name="Hegel AI", email="team@hegel-ai.com" }, ] diff --git a/version.txt b/version.txt index 2fcff7eb..0f225676 100644 --- a/version.txt +++ b/version.txt @@ -1 +1 @@ -0.0.44a0 +0.0.45a0 From 6151062e36d63229b66d1c4193f0173ad022502d Mon Sep 17 00:00:00 2001 From: "Steven Krawczyk (Hegel AI)" Date: Thu, 28 Dec 2023 07:06:51 -0800 Subject: [PATCH 149/182] Update style.mplstyle to use Hegel colors --- prompttools/experiment/experiments/style.mplstyle | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/prompttools/experiment/experiments/style.mplstyle b/prompttools/experiment/experiments/style.mplstyle index b31c0eac..00520178 100755 --- a/prompttools/experiment/experiments/style.mplstyle +++ b/prompttools/experiment/experiments/style.mplstyle @@ -40,11 +40,11 @@ legend.frameon : False savefig.bbox : tight savefig.dpi : 100 -# Rainbow color cycle -#axes.prop_cycle: cycler('color', ["black", "332288","88CCEE","44AA99","117733","999933","DDCC77","CC6677","882255","AA4499","brown","fd3c06","gray"]) +# Hegel AI color cycle +axes.prop_cycle: cycler('color', ["black", "771541", "EB8F4C","594F3B","A8B7AB","9C92A3"]) # Not good for colorblind people -axes.prop_cycle: cycler('color', ['black', '7e1e9c', '15b01a', '448ee4', 'ff7fa7', '029386', 'ed872d', 'ae1717', 'gray', 'e03fd8', '011288', '0b4008']) +#axes.prop_cycle: cycler('color', ['black', '7e1e9c', '15b01a', '448ee4', 'ff7fa7', '029386', 'ed872d', 'ae1717', 'gray', 'e03fd8', '011288', '0b4008']) #font.family : serif #text.usetex : True From 280f4e94b5e1032bb126def256be4d56bb146714 Mon Sep 17 00:00:00 2001 From: steven krawczyk Date: Thu, 28 Dec 2023 08:12:02 -0800 Subject: [PATCH 150/182] Update mpstyle --- examples/notebooks/OpenAIChatExperiment.ipynb | 141 ++++++++++-------- .../experiment/experiments/experiment.py | 7 +- .../experiment/experiments/style.mplstyle | 3 - prompttools/version.py | 4 +- 4 files changed, 85 insertions(+), 70 deletions(-) diff --git a/examples/notebooks/OpenAIChatExperiment.ipynb b/examples/notebooks/OpenAIChatExperiment.ipynb index 654a8e59..f840af3e 100644 --- a/examples/notebooks/OpenAIChatExperiment.ipynb +++ b/examples/notebooks/OpenAIChatExperiment.ipynb @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 13, "id": "ed4e635e", "metadata": {}, "outputs": [], @@ -156,9 +156,10 @@ " \n", " \n", " model\n", - " temperature\n", " messages\n", + " temperature\n", " response\n", + " response_usage\n", " latency\n", " \n", " \n", @@ -166,45 +167,49 @@ " \n", " 0\n", " gpt-3.5-turbo\n", - " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", + " 0.0\n", " George Washington\n", - " 2.625049e-06\n", + " {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75}\n", + " 0.000006\n", " \n", " \n", " 1\n", " gpt-3.5-turbo\n", - " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", + " 1.0\n", " George Washington\n", - " 1.000008e-06\n", + " {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75}\n", + " 0.000005\n", " \n", " \n", " 2\n", " gpt-3.5-turbo-0613\n", - " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", + " 0.0\n", " George Washington\n", - " 7.500057e-07\n", + " {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75}\n", + " 0.000003\n", " \n", " \n", " 3\n", " gpt-3.5-turbo-0613\n", - " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", + " 1.0\n", " George Washington\n", - " 6.670016e-07\n", + " {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75}\n", + " 0.000002\n", " \n", " \n", "\n", "" ], "text/plain": [ - " model temperature \\\n", - "0 gpt-3.5-turbo 0.0 \n", - "1 gpt-3.5-turbo 1.0 \n", - "2 gpt-3.5-turbo-0613 0.0 \n", - "3 gpt-3.5-turbo-0613 1.0 \n", + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "2 gpt-3.5-turbo-0613 \n", + "3 gpt-3.5-turbo-0613 \n", "\n", " messages \\\n", "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", @@ -212,11 +217,23 @@ "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "\n", - " response latency \n", - "0 George Washington 2.625049e-06 \n", - "1 George Washington 1.000008e-06 \n", - "2 George Washington 7.500057e-07 \n", - "3 George Washington 6.670016e-07 " + " temperature response \\\n", + "0 0.0 George Washington \n", + "1 1.0 George Washington \n", + "2 0.0 George Washington \n", + "3 1.0 George Washington \n", + "\n", + " response_usage \\\n", + "0 {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75} \n", + "1 {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75} \n", + "2 {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75} \n", + "3 {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75} \n", + "\n", + " latency \n", + "0 0.000006 \n", + "1 0.000005 \n", + "2 0.000003 \n", + "3 0.000002 " ] }, "metadata": {}, @@ -247,7 +264,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "d861ab10", "metadata": {}, "outputs": [], @@ -257,7 +274,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "id": "8ddbb951", "metadata": {}, "outputs": [], @@ -267,23 +284,12 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "id": "e80dfeec", "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/torch/utils/tensorboard/__init__.py:4: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", - " if not hasattr(tensorboard, \"__version__\") or LooseVersion(\n", - "/Users/kevin/miniconda3/envs/prompttools/lib/python3.11/site-packages/torch/utils/tensorboard/__init__.py:6: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", - " ) < LooseVersion(\"1.15\"):\n" - ] - } - ], + "outputs": [], "source": [ "experiment.evaluate(\"similar_to_expected\", similarity.semantic_similarity, expected=[\"George Washington\"] * 4)" ] @@ -298,7 +304,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "id": "4d09c18e", "metadata": { "scrolled": true @@ -326,9 +332,10 @@ " \n", " \n", " model\n", - " temperature\n", " messages\n", + " temperature\n", " response\n", + " response_usage\n", " latency\n", " similar_to_expected\n", " \n", @@ -337,37 +344,41 @@ " \n", " 0\n", " gpt-3.5-turbo\n", - " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", + " 0.0\n", " George Washington\n", - " 2.625049e-06\n", + " {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75}\n", + " 0.000006\n", " 1.0\n", " \n", " \n", " 1\n", " gpt-3.5-turbo\n", - " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", + " 1.0\n", " George Washington\n", - " 1.000008e-06\n", + " {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75}\n", + " 0.000005\n", " 1.0\n", " \n", " \n", " 2\n", " gpt-3.5-turbo-0613\n", - " 0.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", + " 0.0\n", " George Washington\n", - " 7.500057e-07\n", + " {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75}\n", + " 0.000003\n", " 1.0\n", " \n", " \n", " 3\n", " gpt-3.5-turbo-0613\n", - " 1.0\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", + " 1.0\n", " George Washington\n", - " 6.670016e-07\n", + " {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75}\n", + " 0.000002\n", " 1.0\n", " \n", " \n", @@ -375,11 +386,11 @@ "" ], "text/plain": [ - " model temperature \\\n", - "0 gpt-3.5-turbo 0.0 \n", - "1 gpt-3.5-turbo 1.0 \n", - "2 gpt-3.5-turbo-0613 0.0 \n", - "3 gpt-3.5-turbo-0613 1.0 \n", + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "2 gpt-3.5-turbo-0613 \n", + "3 gpt-3.5-turbo-0613 \n", "\n", " messages \\\n", "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", @@ -387,11 +398,23 @@ "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", "\n", - " response latency similar_to_expected \n", - "0 George Washington 2.625049e-06 1.0 \n", - "1 George Washington 1.000008e-06 1.0 \n", - "2 George Washington 7.500057e-07 1.0 \n", - "3 George Washington 6.670016e-07 1.0 " + " temperature response \\\n", + "0 0.0 George Washington \n", + "1 1.0 George Washington \n", + "2 0.0 George Washington \n", + "3 1.0 George Washington \n", + "\n", + " response_usage \\\n", + "0 {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75} \n", + "1 {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75} \n", + "2 {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75} \n", + "3 {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75} \n", + "\n", + " latency similar_to_expected \n", + "0 0.000006 1.0 \n", + "1 0.000005 1.0 \n", + "2 0.000003 1.0 \n", + "3 0.000002 1.0 " ] }, "metadata": {}, @@ -422,7 +445,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "d30cd8ad", "metadata": {}, "outputs": [], @@ -451,18 +474,18 @@ "id": "e5626394", "metadata": {}, "source": [ - "You can optional " + "You can optionally visualize the results with the following command" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "id": "d0007a1f", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] diff --git a/prompttools/experiment/experiments/experiment.py b/prompttools/experiment/experiments/experiment.py index 872f12e1..30c01828 100644 --- a/prompttools/experiment/experiments/experiment.py +++ b/prompttools/experiment/experiments/experiment.py @@ -461,12 +461,7 @@ def aggregate(self, metric_name, column_name, is_average=False): # Define the custom colors custom_colors = [ - "black", - "#7e1e9c", - "#15b01a", - "#448ee4", - "#ff7fa7", - "#029386", + "black", "#771541", "#EB8F4C", "#594F3B", "#A8B7AB", "#9C92A3" ] plt.ylabel("Latency (s)") diff --git a/prompttools/experiment/experiments/style.mplstyle b/prompttools/experiment/experiments/style.mplstyle index 00520178..aa62ae2f 100755 --- a/prompttools/experiment/experiments/style.mplstyle +++ b/prompttools/experiment/experiments/style.mplstyle @@ -43,9 +43,6 @@ savefig.dpi : 100 # Hegel AI color cycle axes.prop_cycle: cycler('color', ["black", "771541", "EB8F4C","594F3B","A8B7AB","9C92A3"]) -# Not good for colorblind people -#axes.prop_cycle: cycler('color', ['black', '7e1e9c', '15b01a', '448ee4', 'ff7fa7', '029386', 'ed872d', 'ae1717', 'gray', 'e03fd8', '011288', '0b4008']) - #font.family : serif #text.usetex : True #font.serif : Palatino diff --git a/prompttools/version.py b/prompttools/version.py index d103c2d6..49a555da 100644 --- a/prompttools/version.py +++ b/prompttools/version.py @@ -1,2 +1,2 @@ -__version__ = '0.0.45a0+e77fcc5' -git_version = 'e77fcc5bcd6fa7b123ae17fd660659bcb3e7c8bf' +__version__ = '0.0.45a0+6151062' +git_version = '6151062e36d63229b66d1c4193f0173ad022502d' From 326e8c49d268c0c55164abbabd009c875deca6df Mon Sep 17 00:00:00 2001 From: "Steven Krawczyk (Hegel AI)" Date: Sun, 31 Dec 2023 13:29:33 -0800 Subject: [PATCH 151/182] Add feedback API (#119) * Add feedback API * Export feedback func * Get feedback working --- prompttools/logger/__init__.py | 3 ++- prompttools/logger/logger.py | 43 +++++++++++++++++++++++++++++++--- 2 files changed, 42 insertions(+), 4 deletions(-) diff --git a/prompttools/logger/__init__.py b/prompttools/logger/__init__.py index 47bc34ee..5bc0ab72 100644 --- a/prompttools/logger/__init__.py +++ b/prompttools/logger/__init__.py @@ -5,9 +5,10 @@ # LICENSE file in the root directory of this source tree. -from .logger import Logger +from .logger import Logger, add_feedback __all__ = [ "Logger", + "add_feedback", ] diff --git a/prompttools/logger/logger.py b/prompttools/logger/logger.py index 361a5709..c9cc70df 100644 --- a/prompttools/logger/logger.py +++ b/prompttools/logger/logger.py @@ -4,6 +4,7 @@ # This source code's license can be found in the # LICENSE file in the root directory of this source tree. import json +import uuid import requests import threading @@ -27,6 +28,7 @@ class Logger: def __init__(self): self.backend_url = f"{HEGEL_BACKEND_URL}/sdk/logger" self.data_queue = queue.Queue() + self.feedback_queue = queue.Queue() self.worker_thread = threading.Thread(target=self.worker) # When the main thread is joining, put `None` into queue to signal worker thread to end @@ -34,6 +36,13 @@ def __init__(self): self.worker_thread.start() + def add_feedback(self, log_id, metric_name, value): + self.feedback_queue.put({ + "log_id": log_id, + "key": metric_name, + "value": value + }) + def execute_and_add_to_queue(self, callable_func, **kwargs): if "hegel_model" in kwargs: hegel_model = kwargs["hegel_model"] @@ -43,14 +52,17 @@ def execute_and_add_to_queue(self, callable_func, **kwargs): start = perf_counter() result = callable_func(**kwargs) latency = perf_counter() - start + log_id = str(uuid.uuid4()) self.data_queue.put( { "hegel_model": hegel_model, "result": result.model_dump_json(), "input_parameters": json.dumps(kwargs), "latency": latency, + "log_id": log_id, } ) + result.log_id = log_id return result def wrap(self, callable_func): @@ -58,13 +70,22 @@ def wrap(self, callable_func): def worker(self): while True: + # Process logging data if not self.data_queue.empty(): - result = self.data_queue.get() - if result is None: + data = self.data_queue.get() + if data is None: # Shutdown signal return - self.log_data_to_remote(result) + self.log_data_to_remote(data) self.data_queue.task_done() + # Process feedback data + if not self.feedback_queue.empty(): + feedback_data = self.feedback_queue.get() + if feedback_data is None: # Shutdown signal + return + self.send_feedback_to_remote(feedback_data) + self.feedback_queue.task_done() + def log_data_to_remote(self, data): try: headers = { @@ -78,6 +99,19 @@ def log_data_to_remote(self, data): except requests.exceptions.RequestException as e: print(f"Error sending data to Flask API: {e}") + def send_feedback_to_remote(self, feedback_data): + feedback_url = f"{HEGEL_BACKEND_URL}/sdk/add_feedback/" + try: + headers = { + "Content-Type": "application/json", + "Authorization": os.environ["HEGELAI_API_KEY"], + } + + response = requests.post(feedback_url, json=feedback_data, headers=headers) + if response.status_code != 200: + print(f"Failed to send feedback to Flask API. Status code: {response.status_code}") + except requests.exceptions.RequestException as e: + print(f"Error sending feedback to Flask API: {e}") sender = Logger() # Monkey-patching @@ -86,3 +120,6 @@ def log_data_to_remote(self, data): except Exception: print("You may need to add `OPENAI_API_KEY=''` to your `.env` file.") raise + +def add_feedback(*args): + sender.add_feedback(*args) \ No newline at end of file From a00b03a9e5d1ccc01fb101ce1babdb7b1cb48188 Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 3 Jan 2024 11:38:09 -0500 Subject: [PATCH 152/182] Saving template to harness's DataFrame --- .../harness/chat_prompt_template_harness.py | 27 +++++++++++++++++-- 1 file changed, 25 insertions(+), 2 deletions(-) diff --git a/prompttools/harness/chat_prompt_template_harness.py b/prompttools/harness/chat_prompt_template_harness.py index 7ddb563a..b6137c8a 100644 --- a/prompttools/harness/chat_prompt_template_harness.py +++ b/prompttools/harness/chat_prompt_template_harness.py @@ -82,23 +82,46 @@ def run(self, clear_previous_results: bool = False): self.prepare() super().run(clear_previous_results=clear_previous_results) - # Add user inputs to DataFrame if len(self.experiment.full_df) > 0: + # Add user inputs to DataFrame repeat = len(self.experiment.full_df) // len(self.user_inputs) user_inputs = deepcopy(self.user_inputs) user_inputs_col_name = "user_inputs" user_input_df = pd.DataFrame({user_inputs_col_name: user_inputs * repeat}) + # Full DF if user_inputs_col_name in self.experiment.full_df.columns: self.experiment.full_df = self.experiment.full_df.drop(user_inputs_col_name, axis=1) self.experiment.full_df.reset_index(drop=True, inplace=True) - self.experiment.full_df = pd.concat([user_input_df, self.experiment.full_df], axis=1) + # Partial DF if user_inputs_col_name in self.experiment.partial_df.columns: self.experiment.partial_df = self.experiment.partial_df.drop(user_inputs_col_name, axis=1) self.experiment.partial_df.reset_index(drop=True, inplace=True) self.experiment.partial_df = pd.concat([user_input_df, self.experiment.partial_df], axis=1) + # Add prompt template to DataFrame + repeat = len(self.experiment.full_df) // len(self.message_templates) + templates = deepcopy(self.message_templates) + template_indices = list(range(len(templates))) + template_col_name = "templates" + template_index_col_name = "template_index" + template_df = pd.DataFrame( + {template_index_col_name: template_indices * repeat, template_col_name: templates * repeat} + ) + # Full DF + if template_col_name in self.experiment.full_df.columns: + self.experiment.full_df = self.experiment.full_df.drop(template_col_name, axis=1) + self.experiment.full_df = self.experiment.full_df.drop(template_index_col_name, axis=1) + self.experiment.full_df.reset_index(drop=True, inplace=True) + self.experiment.full_df = pd.concat([template_df, self.experiment.full_df], axis=1) + # Partial DF + if template_col_name in self.experiment.partial_df.columns: + self.experiment.partial_df = self.experiment.partial_df.drop(template_col_name, axis=1) + self.experiment.partial_df = self.experiment.partial_df.drop(template_index_col_name, axis=1) + self.experiment.partial_df.reset_index(drop=True, inplace=True) + self.experiment.partial_df = pd.concat([template_df, self.experiment.partial_df], axis=1) + def get_table(self, get_all_cols: bool = False) -> pd.DataFrame: columns_to_hide = [ "stream", From 0b36e1baadf7ef525eeff695cd646cdff83d93e8 Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 3 Jan 2024 11:38:33 -0500 Subject: [PATCH 153/182] Adding generic aggregate method to all harnesses --- prompttools/harness/harness.py | 27 ++++++++++++++++++++++++++- 1 file changed, 26 insertions(+), 1 deletion(-) diff --git a/prompttools/harness/harness.py b/prompttools/harness/harness.py index 4f547de7..9e101308 100644 --- a/prompttools/harness/harness.py +++ b/prompttools/harness/harness.py @@ -4,7 +4,7 @@ # This source code's license can be found in the # LICENSE file in the root directory of this source tree. -from typing import Callable, Optional +from typing import Callable, Optional, Union from prompttools.experiment import Experiment @@ -12,6 +12,7 @@ import os import pickle import requests +import pandas as pd class ExperimentationHarness: @@ -89,6 +90,30 @@ def _get_state(self): def _load_state(cls, state, experiment_id: str, revision_id: str, experiment_type_str: str): raise NotImplementedError("Should be implemented by specific harness class.") + def aggregate( + self, + groupby_column: str, + aggregate_columns: Union[str, list[str]], + method: str, + custom_df: Optional[pd.DataFrame] = None, + ) -> pd.DataFrame: + """ + Aggregate data based on the specified column, method. + + Args: + groupby_column (str): + aggregate_columns (Union[str, list[str]]): + method (str): aggregation method (e.g., 'mean', 'sum', 'count', 'min', 'max', 'median', 'std', etc.) + """ + if method not in ["mean", "sum", "count", "min", "max", "median", "std"]: + raise ValueError(f"Unsupported aggregation method: {method}") + + if custom_df is None: + custom_df = self.full_df + + result_df = custom_df.groupby(groupby_column)[aggregate_columns].agg(method).reset_index() + return result_df + def save_experiment(self, name: Optional[str] = None): r""" name (str, optional): Name of the experiment. This is optional if you have previously loaded an experiment From 5d0fff31a2b49d7f8390d03439245291604d015f Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 3 Jan 2024 11:39:02 -0500 Subject: [PATCH 154/182] Adding bespoke aggregate method to harness to avoid hashing type issues --- .../harness/chat_prompt_template_harness.py | 24 ++++++++++++++++++- 1 file changed, 23 insertions(+), 1 deletion(-) diff --git a/prompttools/harness/chat_prompt_template_harness.py b/prompttools/harness/chat_prompt_template_harness.py index b6137c8a..468b1872 100644 --- a/prompttools/harness/chat_prompt_template_harness.py +++ b/prompttools/harness/chat_prompt_template_harness.py @@ -4,7 +4,7 @@ # This source code's license can be found in the # LICENSE file in the root directory of this source tree. -from typing import Type +from typing import Type, Union import jinja2 import pandas as pd @@ -160,6 +160,28 @@ def visualize(self, get_all_cols: bool = False): logging.getLogger().setLevel(logging.INFO) logging.info(tabulate(table, headers="keys", tablefmt="psql")) + def aggregate(self, groupby_column: str, aggregate_columns: Union[str, list[str]], method: str) -> pd.DataFrame: + """ + Aggregate data based on the specified column, method. + + Args: + groupby_column (str): + aggregate_columns (Union[str, list[str]]): + method (str): aggregation method (e.g., 'mean', 'sum', 'count', 'min', 'max', 'median', 'std', etc.) + """ + if groupby_column == "user_inputs": + df = self.full_df.copy() + df["user_inputs"] = [tuple(d.items()) for d in self.full_df["user_inputs"]] + else: + df = self.full_df + + if groupby_column == "templates": + result = super().aggregate("template_index", aggregate_columns, method) + result["templates"] = [self.message_templates[i] for i in result["template_index"]] + return result + else: + return super().aggregate(groupby_column, aggregate_columns, method, custom_df=df) + def _get_state(self): state_params = { "experiment_cls_constructor": self.experiment_cls_constructor, From 37191aabfc71f4ea36f090e48abcdf395e293ffb Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 3 Jan 2024 11:39:17 -0500 Subject: [PATCH 155/182] Adding various harness to documentation --- docs/source/harness.rst | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/docs/source/harness.rst b/docs/source/harness.rst index 907debe2..8dcd1b3e 100644 --- a/docs/source/harness.rst +++ b/docs/source/harness.rst @@ -18,8 +18,14 @@ a corresponding experiment, and keeps track of the templates and inputs used for .. autoclass:: ChatModelComparisonHarness +.. autoclass:: ChatPromptTemplateExperimentationHarness + +.. autoclass:: ModelComparisonHarness + .. autoclass:: MultiExperimentHarness .. autoclass:: PromptTemplateExperimentationHarness +.. autoclass:: RetrievalAugmentedGenerationExperimentationHarness + .. autoclass:: SystemPromptExperimentationHarness From 9cf33192e32bc716ccce898295765e327e0eaa34 Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 3 Jan 2024 11:39:25 -0500 Subject: [PATCH 156/182] Updating harness examples --- ..._Loading_ExperimentHarness_to_Remote.ipynb | 300 +++++++++++++++--- 1 file changed, 251 insertions(+), 49 deletions(-) diff --git a/examples/notebooks/remote/Saving_and_Loading_ExperimentHarness_to_Remote.ipynb b/examples/notebooks/remote/Saving_and_Loading_ExperimentHarness_to_Remote.ipynb index 6d92cc01..c843f51b 100644 --- a/examples/notebooks/remote/Saving_and_Loading_ExperimentHarness_to_Remote.ipynb +++ b/examples/notebooks/remote/Saving_and_Loading_ExperimentHarness_to_Remote.ipynb @@ -81,14 +81,11 @@ " \n", " \n", " \n", + " template_index\n", + " templates\n", " user_inputs\n", " model\n", " messages\n", - " temperature\n", - " top_p\n", - " n\n", - " presence_penalty\n", - " frequency_penalty\n", " response\n", " response_usage\n", " latency\n", @@ -97,65 +94,65 @@ " \n", " \n", " 0\n", + " 0\n", + " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the {{input}} president?'}]\n", " {'input': 'first'}\n", " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", - " 1.0\n", - " 1.0\n", - " 1\n", - " 0.0\n", - " 0.0\n", - " The first president of the United States was George Washington. He served two terms from 1789 to 1797.\n", - " {'completion_tokens': 24, 'prompt_tokens': 23, 'total_tokens': 47}\n", - " 1.251051\n", + " The first president of the United States was George Washington. He served from 1789 to 1797.\n", + " {'completion_tokens': 22, 'prompt_tokens': 23, 'total_tokens': 45}\n", + " 1.620099\n", " \n", " \n", " 1\n", + " 1\n", + " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the {{input}} vice president?'}]\n", " {'input': 'second'}\n", " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second president?'}]\n", - " 1.0\n", - " 1.0\n", - " 1\n", - " 0.0\n", - " 0.0\n", " The second president of the United States was John Adams. He served from 1797 to 1801.\n", " {'completion_tokens': 22, 'prompt_tokens': 23, 'total_tokens': 45}\n", - " 0.949733\n", + " 0.657733\n", " \n", " \n", " 2\n", + " 0\n", + " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the {{input}} president?'}]\n", " {'input': 'first'}\n", " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}]\n", - " 1.0\n", - " 1.0\n", - " 1\n", - " 0.0\n", - " 0.0\n", - " The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797.\n", - " {'completion_tokens': 30, 'prompt_tokens': 24, 'total_tokens': 54}\n", - " 0.936664\n", + " The first Vice President of the United States was John Adams. He served under President George Washington from 1789 to 1797.\n", + " {'completion_tokens': 27, 'prompt_tokens': 24, 'total_tokens': 51}\n", + " 0.809008\n", " \n", " \n", " 3\n", + " 1\n", + " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the {{input}} vice president?'}]\n", " {'input': 'second'}\n", " gpt-3.5-turbo\n", " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}]\n", - " 1.0\n", - " 1.0\n", - " 1\n", - " 0.0\n", - " 0.0\n", - " The second vice president of the United States was Thomas Jefferson. He served as vice president from 1797 to 1801 under President John Adams.\n", + " The second Vice President of the United States was Thomas Jefferson. He served as Vice President under President John Adams from 1797 to 1801.\n", " {'completion_tokens': 30, 'prompt_tokens': 24, 'total_tokens': 54}\n", - " 0.971230\n", + " 0.922675\n", " \n", " \n", "\n", "" ], "text/plain": [ + " template_index \\\n", + "0 0 \n", + "1 1 \n", + "2 0 \n", + "3 1 \n", + "\n", + " templates \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the {{input}} president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the {{input}} vice president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the {{input}} president?'}] \n", + "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the {{input}} vice president?'}] \n", + "\n", " user_inputs model \\\n", "0 {'input': 'first'} gpt-3.5-turbo \n", "1 {'input': 'second'} gpt-3.5-turbo \n", @@ -168,29 +165,23 @@ "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first vice president?'}] \n", "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the second vice president?'}] \n", "\n", - " temperature top_p n presence_penalty frequency_penalty \\\n", - "0 1.0 1.0 1 0.0 0.0 \n", - "1 1.0 1.0 1 0.0 0.0 \n", - "2 1.0 1.0 1 0.0 0.0 \n", - "3 1.0 1.0 1 0.0 0.0 \n", - "\n", " response \\\n", - "0 The first president of the United States was George Washington. He served two terms from 1789 to 1797. \n", + "0 The first president of the United States was George Washington. He served from 1789 to 1797. \n", "1 The second president of the United States was John Adams. He served from 1797 to 1801. \n", - "2 The first Vice President of the United States was John Adams. He served as Vice President under President George Washington from 1789 to 1797. \n", - "3 The second vice president of the United States was Thomas Jefferson. He served as vice president from 1797 to 1801 under President John Adams. \n", + "2 The first Vice President of the United States was John Adams. He served under President George Washington from 1789 to 1797. \n", + "3 The second Vice President of the United States was Thomas Jefferson. He served as Vice President under President John Adams from 1797 to 1801. \n", "\n", " response_usage \\\n", - "0 {'completion_tokens': 24, 'prompt_tokens': 23, 'total_tokens': 47} \n", + "0 {'completion_tokens': 22, 'prompt_tokens': 23, 'total_tokens': 45} \n", "1 {'completion_tokens': 22, 'prompt_tokens': 23, 'total_tokens': 45} \n", - "2 {'completion_tokens': 30, 'prompt_tokens': 24, 'total_tokens': 54} \n", + "2 {'completion_tokens': 27, 'prompt_tokens': 24, 'total_tokens': 51} \n", "3 {'completion_tokens': 30, 'prompt_tokens': 24, 'total_tokens': 54} \n", "\n", " latency \n", - "0 1.251051 \n", - "1 0.949733 \n", - "2 0.936664 \n", - "3 0.971230 " + "0 1.620099 \n", + "1 0.657733 \n", + "2 0.809008 \n", + "3 0.922675 " ] }, "metadata": {}, @@ -203,6 +194,217 @@ "harness.visualize()" ] }, + { + "cell_type": "markdown", + "id": "f246c958", + "metadata": {}, + "source": [ + "### Examples of `aggregation` API" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "88d81001", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " template_index latency latency \\\n", + "0 0 1.214553 1.214553 \n", + "1 1 0.790204 0.790204 \n", + "\n", + " templates \n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the {{input}} president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the {{input}} vice president?'}] " + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "agg_df = harness.aggregate(groupby_column='templates', aggregate_columns=['latency', 'latency'], method='mean')\n", + "agg_df" + ] + }, { "cell_type": "code", "execution_count": 4, From c4b5c7d34a4dad87769b624e778c8af65f2f7f6e Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 3 Jan 2024 11:45:37 -0500 Subject: [PATCH 157/182] Adding a note to `custom_df` in aggregate --- prompttools/harness/harness.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/prompttools/harness/harness.py b/prompttools/harness/harness.py index 9e101308..5632f7ed 100644 --- a/prompttools/harness/harness.py +++ b/prompttools/harness/harness.py @@ -104,6 +104,9 @@ def aggregate( groupby_column (str): aggregate_columns (Union[str, list[str]]): method (str): aggregation method (e.g., 'mean', 'sum', 'count', 'min', 'max', 'median', 'std', etc.) + custom_df (Optional[pd.DataFrame]): By default, this method uses `self.full_df`, however, a specific + subclass implementation can chooses to override this (mainly to make modification before or after + group by) """ if method not in ["mean", "sum", "count", "min", "max", "median", "std"]: raise ValueError(f"Unsupported aggregation method: {method}") From 493f825ddadfd6d33fa05ca9f7b04087eb26079e Mon Sep 17 00:00:00 2001 From: greydoubt <43443470+greydoubt@users.noreply.github.com> Date: Wed, 17 Jan 2024 10:01:53 -0800 Subject: [PATCH 158/182] slight cleanup (#120) --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c0666d06..b95d01b7 100644 --- a/README.md +++ b/README.md @@ -21,7 +21,7 @@ Welcome to `prompttools` created by [Hegel AI](https://hegel-ai.com/)! This repo offers a set of open-source, self-hostable tools for experimenting with, testing, and evaluating LLMs, vector databases, and prompts. The core idea is to enable developers to evaluate using familiar interfaces like _code_, _notebooks_, and a local _playground_. -In just a few lines of codes, you can test your prompts and parameters across different models (whether you are using +In just a few lines of code, you can test your prompts and parameters across different models (whether you are using OpenAI, Anthropic, or LLaMA models). You can even evaluate the retrieval accuracy of vector databases. ```python From 68abe7a65b910ce952fccd87aa0f3a05c41b5ae7 Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 25 Jan 2024 23:18:34 -0500 Subject: [PATCH 159/182] Fix repeat order in Chat Prompt Template Harness --- prompttools/harness/chat_prompt_template_harness.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/prompttools/harness/chat_prompt_template_harness.py b/prompttools/harness/chat_prompt_template_harness.py index 468b1872..a0db70c9 100644 --- a/prompttools/harness/chat_prompt_template_harness.py +++ b/prompttools/harness/chat_prompt_template_harness.py @@ -107,7 +107,10 @@ def run(self, clear_previous_results: bool = False): template_col_name = "templates" template_index_col_name = "template_index" template_df = pd.DataFrame( - {template_index_col_name: template_indices * repeat, template_col_name: templates * repeat} + { + template_index_col_name: [i for i in template_indices for _ in range(repeat)], + template_col_name: [s for s in templates for _ in range(repeat)], + } ) # Full DF if template_col_name in self.experiment.full_df.columns: From e314fa3ce9e11356f6f1e5e3f4e4addc580d83cf Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 25 Jan 2024 23:19:57 -0500 Subject: [PATCH 160/182] Add Mistral experiment --- .../experiments/mistral_experiment.py | 94 +++++++++++++++++++ 1 file changed, 94 insertions(+) create mode 100644 prompttools/experiment/experiments/mistral_experiment.py diff --git a/prompttools/experiment/experiments/mistral_experiment.py b/prompttools/experiment/experiments/mistral_experiment.py new file mode 100644 index 00000000..222fae73 --- /dev/null +++ b/prompttools/experiment/experiments/mistral_experiment.py @@ -0,0 +1,94 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + +import os +import requests +import json + +from typing import Optional + + +from .experiment import Experiment + + +class MistralChatCompletionExperiment(Experiment): + r""" + This class defines an experiment for Mistral's chatcompletion API. It accepts lists for each argument + passed into the API, then creates a cartesian product of those arguments, and gets results for each. + + Note: + - All arguments here should be a ``list``, even if you want to keep the argument frozen + (i.e. ``temperature=[1.0]``), because the experiment will try all possible combination + of the input arguments. + - You should set ``os.environ["MISTRAL_API_KEY"] = YOUR_KEY`` in order to connect with Mistral's API. + + Args: + model (list[str]): + the model(s) that will complete your prompt (e.g. "mistral-tiny") + + messages (list[str]): + Input prompts, encoded as a list of dict with role and content. + The first prompt role should be `user` or `system`. + + temperature (list[float], optional): + The amount of randomness injected into the response + + top_p (list[float], optional): + use nucleus sampling. + + max_tokens (list[int]): + The maximum number of tokens to generate in the completion.. + + stream (list[bool], optional): + Whether to incrementally stream the response using server-sent events. + + safe_prompt (list[bool]): + Whether to inject a safety prompt before all conversations. + + random_seed (list[int], optional): + The seed to use for random sampling. If set, different calls will generate deterministic results. + """ + + url = "https://api.mistral.ai/v1/chat/completions" + + def __init__( + self, + model: list[str], + messages: list[str], + temperature: list[float] = [None], + top_p: list[float] = [None], + max_tokens: list[Optional[int]] = [None], + stream: list[bool] = [False], + safe_prompt: list[bool] = [False], + random_seed: list[Optional[int]] = [None], + ): + self.completion_fn = self.mistral_completion_fn + + self.all_args = dict( + model=model, + messages=messages, + temperature=temperature, + top_p=top_p, + max_tokens=max_tokens, + stream=stream, + safe_prompt=safe_prompt, + random_seed=random_seed, + ) + super().__init__() + + def mistral_completion_fn(self, **input_args): + headers = {"Content-Type": "application/json", "Authorization": f"Bearer {os['MISTRAL_API_KEY']}"} + return requests.post(self.url, headers=headers, data=json.dumps(input_args)) + + @staticmethod + def _extract_responses(response: dict) -> list[str]: + return response["choices"][0]["message"]["content"] + + def _get_model_names(self): + return [combo["model"] for combo in self.argument_combos] + + def _get_prompts(self): + return [combo["messages"] for combo in self.argument_combos] From 6c6b2abf9032bd177416f23b2d3ea6dd11af10ec Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 25 Jan 2024 23:20:59 -0500 Subject: [PATCH 161/182] Adding Mistral to doc --- docs/source/experiment.rst | 2 ++ prompttools/experiment/__init__.py | 2 ++ 2 files changed, 4 insertions(+) diff --git a/docs/source/experiment.rst b/docs/source/experiment.rst index 5229e777..d499556e 100644 --- a/docs/source/experiment.rst +++ b/docs/source/experiment.rst @@ -41,6 +41,8 @@ LLMs .. autoclass:: GoogleVertexChatCompletionExperiment +.. autoclass:: MistralChatCompletionExperiment + .. autoclass:: LlamaCppExperiment .. autoclass:: ReplicateExperiment diff --git a/prompttools/experiment/__init__.py b/prompttools/experiment/__init__.py index 70d8ca5d..26df82fc 100644 --- a/prompttools/experiment/__init__.py +++ b/prompttools/experiment/__init__.py @@ -16,6 +16,7 @@ from .experiments.chromadb_experiment import ChromaDBExperiment from .experiments.weaviate_experiment import WeaviateExperiment from .experiments.lancedb_experiment import LanceDBExperiment +from .experiments.mistral_experiment import MistralChatCompletionExperiment from .experiments.mindsdb_experiment import MindsDBExperiment from .experiments.langchain_experiment import SequentialChainExperiment, RouterChainExperiment from .experiments.stablediffusion_experiment import StableDiffusionExperiment @@ -32,6 +33,7 @@ "LanceDBExperiment", "LlamaCppExperiment", "HuggingFaceHubExperiment", + "MistralChatCompletionExperiment", "MindsDBExperiment", "OpenAIChatExperiment", "OpenAICompletionExperiment", From 10a8d7f3cdd6e4267db3a51812de66376f1a614b Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 26 Jan 2024 23:57:29 -0500 Subject: [PATCH 162/182] Adding Mistral example --- .../notebooks/MistralChatExperiment.ipynb | 293 ++++++++++++++++++ 1 file changed, 293 insertions(+) create mode 100644 examples/notebooks/MistralChatExperiment.ipynb diff --git a/examples/notebooks/MistralChatExperiment.ipynb b/examples/notebooks/MistralChatExperiment.ipynb new file mode 100644 index 00000000..9e6a56c4 --- /dev/null +++ b/examples/notebooks/MistralChatExperiment.ipynb @@ -0,0 +1,293 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0a13ddc8", + "metadata": {}, + "source": [ + "# Mistral Chat Experiment Example" + ] + }, + { + "cell_type": "markdown", + "id": "623f0cfe", + "metadata": {}, + "source": [ + "## Installations" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "885dabeb", + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install --quiet --force-reinstall prompttools" + ] + }, + { + "cell_type": "markdown", + "id": "2eac35f8", + "metadata": {}, + "source": [ + "## Setup imports and API keys" + ] + }, + { + "cell_type": "markdown", + "id": "5edba05a", + "metadata": {}, + "source": [ + "First, we'll need to set our API keys. If we are in DEBUG mode, we don't need to use a real OpenAI key, so for now we'll set them to empty strings." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ed4e635e", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "os.environ[\"MISTRAL_API_KEY\"] = \"\" # Insert your key here" + ] + }, + { + "cell_type": "markdown", + "id": "842f1e47", + "metadata": {}, + "source": [ + "Then we'll import the relevant `prompttools` modules to setup our experiment." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "beaa70a1", + "metadata": {}, + "outputs": [], + "source": [ + "from prompttools.experiment import MistralChatCompletionExperiment" + ] + }, + { + "cell_type": "markdown", + "id": "622dea9a", + "metadata": {}, + "source": [ + "## Run an experiment" + ] + }, + { + "cell_type": "markdown", + "id": "3babfe5a", + "metadata": {}, + "source": [ + "Next, we create our test inputs. We can iterate over models, inputs, and configurations like temperature." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "9114cfbf", + "metadata": {}, + "outputs": [], + "source": [ + "models = [\"mistral-tiny\"]\n", + "messages = [\n", + " [\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", + " {\"role\": \"user\", \"content\": \"Who was the first president?\"},\n", + " ]\n", + "]\n", + "temperatures = [0.0, 1.0]\n", + "# You can add more parameters that you'd like to test here.\n", + "\n", + "experiment = MistralChatCompletionExperiment(models, messages, temperature=temperatures)" + ] + }, + { + "cell_type": "markdown", + "id": "f3fa5450", + "metadata": {}, + "source": [ + "We can then run the experiment to get results." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "83b33130", + "metadata": {}, + "outputs": [], + "source": [ + "experiment.run()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "7598332b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0gpt-3.5-turbo[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]0.0George Washington{'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75}0.000006
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2gpt-3.5-turbo-0613[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]0.0George Washington{'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75}0.000003
3gpt-3.5-turbo-0613[{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]1.0George Washington{'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75}0.000002
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" + ], + "text/plain": [ + " model \\\n", + "0 gpt-3.5-turbo \n", + "1 gpt-3.5-turbo \n", + "2 gpt-3.5-turbo-0613 \n", + "3 gpt-3.5-turbo-0613 \n", + "\n", + " messages \\\n", + "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + "\n", + " temperature response \\\n", + "0 0.0 George Washington \n", + "1 1.0 George Washington \n", + "2 0.0 George Washington \n", + "3 1.0 George Washington \n", + "\n", + " response_usage \\\n", + "0 {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75} \n", + "1 {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75} \n", + "2 {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75} \n", + "3 {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75} \n", + "\n", + " latency \n", + "0 0.000006 \n", + "1 0.000005 \n", + "2 0.000003 \n", + "3 0.000002 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "experiment.visualize()" + ] + }, + { + "cell_type": "markdown", + "id": "266c13eb", + "metadata": {}, + "source": [ + "## Evaluate the model response" + ] + }, + { + "cell_type": "markdown", + "id": "bebb8023", + "metadata": {}, + "source": [ + "To evaluate the results, we'll define an eval function. We can use semantic distance to check if the model's response is similar to our expected output.\n", + "\n", + "Since we are using semantic similarity, you need to have the library `sentence_transformers` installed." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "78c0c9f6", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 128534d3cedf91d2c9c01c1e38a8555ddf97bd24 Mon Sep 17 00:00:00 2001 From: Kevin Date: Sun, 28 Jan 2024 23:58:22 -0500 Subject: [PATCH 163/182] Fix example --- .../notebooks/MistralChatExperiment.ipynb | 72 +++++++++++++++++-- 1 file changed, 68 insertions(+), 4 deletions(-) diff --git a/examples/notebooks/MistralChatExperiment.ipynb b/examples/notebooks/MistralChatExperiment.ipynb index 9e6a56c4..c221ae5e 100644 --- a/examples/notebooks/MistralChatExperiment.ipynb +++ b/examples/notebooks/MistralChatExperiment.ipynb @@ -54,6 +54,70 @@ "os.environ[\"MISTRAL_API_KEY\"] = \"\" # Insert your key here" ] }, + { + "cell_type": "code", + "execution_count": 4, + "id": "155d2fcc", + "metadata": {}, + "outputs": [], + "source": [ + "from mistralai.client import MistralClient\n", + "from mistralai.models.chat_completion import ChatMessage\n", + "\n", + "\n", + "api_key = os.environ[\"MISTRAL_API_KEY\"]\n", + "model = \"mistral-tiny\"\n", + "\n", + "client = MistralClient(api_key=api_key)\n", + "\n", + "messages = [\n", + " ChatMessage(role=\"user\", content=\"What is the best French cheese?\")\n", + "]\n", + "\n", + "# No streaming\n", + "chat_response = client.chat(\n", + " model=model,\n", + " messages=messages,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "b5f86d60", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Determining the \"best\" French cheese is subjective as it depends on personal preferences. Some popular and highly regarded French cheeses include:\\n\\n1. Roquefort: A blue-veined cheese made from sheep\\'s milk. It is known for its strong, pungent, and tangy flavor.\\n2. Camembert: A soft, creamy cheese with a white rind and a rich, earthy taste. It is one of the most famous French cheeses.\\n3. Comté: A nutty, firm, and slightly sweet cheese made from unpasteurized cow\\'s milk. It is often compared to Swiss Emmenthal.\\n4. Brie de Meaux: A soft, creamy cheese with a white rind and a mild, buttery taste. It is considered the original Brie.\\n5. Munster: A smelly, soft, and runny cheese with a pungent aroma and a strong, savory flavor.\\n6. Reblochon: A soft, creamy cheese with a bloomy rind and a rich, milky, and slightly sweet taste.\\n7. Époisses: A strong-smelling, soft, and runny cheese with a pungent flavor and a velvety texture.\\n\\nEach of these cheeses has its unique characteristics and flavor profile, so it\\'s essential to try them to determine which one suits your taste preferences the best.'" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "chat_response" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e4c8a211", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "44170e69", + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "id": "842f1e47", @@ -95,12 +159,12 @@ "metadata": {}, "outputs": [], "source": [ + "from mistralai.models.chat_completion import ChatMessage\n", + "\n", "models = [\"mistral-tiny\"]\n", "messages = [\n", - " [\n", - " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", - " {\"role\": \"user\", \"content\": \"Who was the first president?\"},\n", - " ]\n", + " ChatMessage(role=\"system\", content=\"You are a helpful assistant.\"),\n", + " ChatMessage(role=\"user\", content=\"Who was the first president?\"),\n", "]\n", "temperatures = [0.0, 1.0]\n", "# You can add more parameters that you'd like to test here.\n", From c832b082ae0cab199888cca060ee8dd6e6ed8597 Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 29 Jan 2024 00:06:17 -0500 Subject: [PATCH 164/182] Touch up implementation and example --- .../notebooks/MistralChatExperiment.ipynb | 166 +++++------------- .../experiments/mistral_experiment.py | 38 ++-- 2 files changed, 66 insertions(+), 138 deletions(-) diff --git a/examples/notebooks/MistralChatExperiment.ipynb b/examples/notebooks/MistralChatExperiment.ipynb index c221ae5e..5813afb8 100644 --- a/examples/notebooks/MistralChatExperiment.ipynb +++ b/examples/notebooks/MistralChatExperiment.ipynb @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 14, "id": "ed4e635e", "metadata": {}, "outputs": [], @@ -54,70 +54,6 @@ "os.environ[\"MISTRAL_API_KEY\"] = \"\" # Insert your key here" ] }, - { - "cell_type": "code", - "execution_count": 4, - "id": "155d2fcc", - "metadata": {}, - "outputs": [], - "source": [ - "from mistralai.client import MistralClient\n", - "from mistralai.models.chat_completion import ChatMessage\n", - "\n", - "\n", - "api_key = os.environ[\"MISTRAL_API_KEY\"]\n", - "model = \"mistral-tiny\"\n", - "\n", - "client = MistralClient(api_key=api_key)\n", - "\n", - "messages = [\n", - " ChatMessage(role=\"user\", content=\"What is the best French cheese?\")\n", - "]\n", - "\n", - "# No streaming\n", - "chat_response = client.chat(\n", - " model=model,\n", - " messages=messages,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "b5f86d60", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'Determining the \"best\" French cheese is subjective as it depends on personal preferences. Some popular and highly regarded French cheeses include:\\n\\n1. Roquefort: A blue-veined cheese made from sheep\\'s milk. It is known for its strong, pungent, and tangy flavor.\\n2. Camembert: A soft, creamy cheese with a white rind and a rich, earthy taste. It is one of the most famous French cheeses.\\n3. Comté: A nutty, firm, and slightly sweet cheese made from unpasteurized cow\\'s milk. It is often compared to Swiss Emmenthal.\\n4. Brie de Meaux: A soft, creamy cheese with a white rind and a mild, buttery taste. It is considered the original Brie.\\n5. Munster: A smelly, soft, and runny cheese with a pungent aroma and a strong, savory flavor.\\n6. Reblochon: A soft, creamy cheese with a bloomy rind and a rich, milky, and slightly sweet taste.\\n7. Époisses: A strong-smelling, soft, and runny cheese with a pungent flavor and a velvety texture.\\n\\nEach of these cheeses has its unique characteristics and flavor profile, so it\\'s essential to try them to determine which one suits your taste preferences the best.'" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "chat_response" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e4c8a211", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "44170e69", - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "id": "842f1e47", @@ -128,7 +64,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 10, "id": "beaa70a1", "metadata": {}, "outputs": [], @@ -154,7 +90,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 11, "id": "9114cfbf", "metadata": {}, "outputs": [], @@ -163,8 +99,10 @@ "\n", "models = [\"mistral-tiny\"]\n", "messages = [\n", - " ChatMessage(role=\"system\", content=\"You are a helpful assistant.\"),\n", - " ChatMessage(role=\"user\", content=\"Who was the first president?\"),\n", + " [ChatMessage(role=\"system\", content=\"You are a helpful assistant.\"),\n", + " ChatMessage(role=\"user\", content=\"Who was the first president?\"),],\n", + " [ChatMessage(role=\"system\", content=\"You are a helpful assistant. Keep your answer concise\"),\n", + " ChatMessage(role=\"user\", content=\"Who was the second president?\"),],\n", "]\n", "temperatures = [0.0, 1.0]\n", "# You can add more parameters that you'd like to test here.\n", @@ -182,8 +120,8 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "83b33130", + "execution_count": 12, + "id": "fbddc7fd", "metadata": {}, "outputs": [], "source": [ @@ -192,7 +130,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 13, "id": "7598332b", "metadata": {}, "outputs": [ @@ -217,85 +155,69 @@ " \n", " \n", " \n", - " model\n", - " messages\n", " temperature\n", + " messages\n", " response\n", - " response_usage\n", " latency\n", " \n", " \n", " \n", " \n", " 0\n", - " gpt-3.5-turbo\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " 0.0\n", - " George Washington\n", - " {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75}\n", - " 0.000006\n", + " [role='system' content='You are a helpful assistant.', role='user' content='Who was the first president?']\n", + " The first president of the United States was George Washington. He served two terms from April 30, 1789, to March 4, 1797. Washington played a crucial role in the founding of the United States and was unanimously chosen by the Electoral College to be the first president. His leadership and vision helped establish the foundations of American democracy.\n", + " 1.334489\n", " \n", " \n", " 1\n", - " gpt-3.5-turbo\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " 1.0\n", - " George Washington\n", - " {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75}\n", - " 0.000005\n", + " [role='system' content='You are a helpful assistant.', role='user' content='Who was the first president?']\n", + " The first president of the United States was George Washington. He served two terms from April 30, 1789, to March 4, 1797. Washington played a crucial role in the founding of the United States and is often referred to as the \"Father of His Country.\" His leadership during the American Revolution and his commitment to upholding the Constitution helped establish a sense of national identity and unity.\n", + " 0.920111\n", " \n", " \n", " 2\n", - " gpt-3.5-turbo-0613\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " 0.0\n", - " George Washington\n", - " {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75}\n", - " 0.000003\n", + " [role='system' content='You are a helpful assistant. Keep your answer concise', role='user' content='Who was the second president?']\n", + " The second president of the United States was John Adams, serving from 1797 to 1801. He succeeded George Washington and was followed by Thomas Jefferson. Adams is known for his role in the American Revolution and his diplomacy in Europe.\n", + " 0.628162\n", " \n", " \n", " 3\n", - " gpt-3.5-turbo-0613\n", - " [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}]\n", " 1.0\n", - " George Washington\n", - " {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75}\n", - " 0.000002\n", + " [role='system' content='You are a helpful assistant. Keep your answer concise', role='user' content='Who was the second president?']\n", + " The second president of the United States was John Adams, serving from 1797 to 1801. He succeeded George Washington and was preceded by Thomas Jefferson. Adams was a Founding Father and a leading figure in the American Revolution.\n", + " 0.608941\n", " \n", " \n", "\n", "" ], "text/plain": [ - " model \\\n", - "0 gpt-3.5-turbo \n", - "1 gpt-3.5-turbo \n", - "2 gpt-3.5-turbo-0613 \n", - "3 gpt-3.5-turbo-0613 \n", - "\n", - " messages \\\n", - "0 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "1 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "2 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", - "3 [{'role': 'system', 'content': 'You are a helpful assistant.'}, {'role': 'user', 'content': 'Who was the first president?'}] \n", + " temperature \\\n", + "0 0.0 \n", + "1 1.0 \n", + "2 0.0 \n", + "3 1.0 \n", "\n", - " temperature response \\\n", - "0 0.0 George Washington \n", - "1 1.0 George Washington \n", - "2 0.0 George Washington \n", - "3 1.0 George Washington \n", + " messages \\\n", + "0 [role='system' content='You are a helpful assistant.', role='user' content='Who was the first president?'] \n", + "1 [role='system' content='You are a helpful assistant.', role='user' content='Who was the first president?'] \n", + "2 [role='system' content='You are a helpful assistant. Keep your answer concise', role='user' content='Who was the second president?'] \n", + "3 [role='system' content='You are a helpful assistant. Keep your answer concise', role='user' content='Who was the second president?'] \n", "\n", - " response_usage \\\n", - "0 {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75} \n", - "1 {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75} \n", - "2 {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75} \n", - "3 {'completion_tokens': 18, 'prompt_tokens': 57, 'total_tokens': 75} \n", + " response \\\n", + "0 The first president of the United States was George Washington. He served two terms from April 30, 1789, to March 4, 1797. Washington played a crucial role in the founding of the United States and was unanimously chosen by the Electoral College to be the first president. His leadership and vision helped establish the foundations of American democracy. \n", + "1 The first president of the United States was George Washington. He served two terms from April 30, 1789, to March 4, 1797. Washington played a crucial role in the founding of the United States and is often referred to as the \"Father of His Country.\" His leadership during the American Revolution and his commitment to upholding the Constitution helped establish a sense of national identity and unity. \n", + "2 The second president of the United States was John Adams, serving from 1797 to 1801. He succeeded George Washington and was followed by Thomas Jefferson. Adams is known for his role in the American Revolution and his diplomacy in Europe. \n", + "3 The second president of the United States was John Adams, serving from 1797 to 1801. He succeeded George Washington and was preceded by Thomas Jefferson. Adams was a Founding Father and a leading figure in the American Revolution. \n", "\n", " latency \n", - "0 0.000006 \n", - "1 0.000005 \n", - "2 0.000003 \n", - "3 0.000002 " + "0 1.334489 \n", + "1 0.920111 \n", + "2 0.628162 \n", + "3 0.608941 " ] }, "metadata": {}, @@ -319,9 +241,7 @@ "id": "bebb8023", "metadata": {}, "source": [ - "To evaluate the results, we'll define an eval function. We can use semantic distance to check if the model's response is similar to our expected output.\n", - "\n", - "Since we are using semantic similarity, you need to have the library `sentence_transformers` installed." + "We have many other examples of how you can evaluate the model's responses. Please reference the examples in the OpenAIChatExperiment notebook or AnthropicExperiment notebook." ] }, { diff --git a/prompttools/experiment/experiments/mistral_experiment.py b/prompttools/experiment/experiments/mistral_experiment.py index 222fae73..22b1fe08 100644 --- a/prompttools/experiment/experiments/mistral_experiment.py +++ b/prompttools/experiment/experiments/mistral_experiment.py @@ -5,8 +5,6 @@ # LICENSE file in the root directory of this source tree. import os -import requests -import json from typing import Optional @@ -14,6 +12,16 @@ from .experiment import Experiment +try: + import mistralai + from mistralai.client import MistralClient + from mistralai.models.chat_completion import ChatMessage +except ImportError: + mistralai = None + MistralClient = None + ChatMessage = None + + class MistralChatCompletionExperiment(Experiment): r""" This class defines an experiment for Mistral's chatcompletion API. It accepts lists for each argument @@ -29,9 +37,8 @@ class MistralChatCompletionExperiment(Experiment): model (list[str]): the model(s) that will complete your prompt (e.g. "mistral-tiny") - messages (list[str]): - Input prompts, encoded as a list of dict with role and content. - The first prompt role should be `user` or `system`. + messages (list[ChatMessage]): + Input prompts (using Mistral's Python library). The first prompt role should be `user` or `system`. temperature (list[float], optional): The amount of randomness injected into the response @@ -40,10 +47,7 @@ class MistralChatCompletionExperiment(Experiment): use nucleus sampling. max_tokens (list[int]): - The maximum number of tokens to generate in the completion.. - - stream (list[bool], optional): - Whether to incrementally stream the response using server-sent events. + The maximum number of tokens to generate in the completion. safe_prompt (list[bool]): Whether to inject a safety prompt before all conversations. @@ -61,10 +65,15 @@ def __init__( temperature: list[float] = [None], top_p: list[float] = [None], max_tokens: list[Optional[int]] = [None], - stream: list[bool] = [False], safe_prompt: list[bool] = [False], random_seed: list[Optional[int]] = [None], ): + if mistralai is None: + raise ModuleNotFoundError( + "Package `mistralai` is required to be installed to use this experiment." + "Please use `pip install mistralai` to install the package" + ) + self.client = MistralClient(api_key=os.environ["MISTRAL_API_KEY"]) self.completion_fn = self.mistral_completion_fn self.all_args = dict( @@ -73,19 +82,18 @@ def __init__( temperature=temperature, top_p=top_p, max_tokens=max_tokens, - stream=stream, safe_prompt=safe_prompt, random_seed=random_seed, ) super().__init__() def mistral_completion_fn(self, **input_args): - headers = {"Content-Type": "application/json", "Authorization": f"Bearer {os['MISTRAL_API_KEY']}"} - return requests.post(self.url, headers=headers, data=json.dumps(input_args)) + response = self.client.chat(**input_args) + return response @staticmethod - def _extract_responses(response: dict) -> list[str]: - return response["choices"][0]["message"]["content"] + def _extract_responses(response) -> list[str]: + return response.choices[0].message.content def _get_model_names(self): return [combo["model"] for combo in self.argument_combos] From 133e02a1ea3abd717770cc4d28b395aaaedb1261 Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 29 Jan 2024 00:11:07 -0500 Subject: [PATCH 165/182] Ignoring macOS file --- .gitignore | 3 +++ 1 file changed, 3 insertions(+) diff --git a/.gitignore b/.gitignore index 335a567c..3ad58506 100644 --- a/.gitignore +++ b/.gitignore @@ -8,6 +8,9 @@ prompttools/version.py # C extensions *.so +macOS +*/.DS_Store + # PyCharm # JetBrains specific template is maintained in a separate JetBrains.gitignore that can # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore From a20a88ce06b4ad0404a6b9dd96585081304972f1 Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 8 Feb 2024 12:07:56 -0800 Subject: [PATCH 166/182] Adding logging test case and notebook --- examples/notebooks/remote/Logging.ipynb | 164 ++++++++++++++++++++++++ 1 file changed, 164 insertions(+) create mode 100644 examples/notebooks/remote/Logging.ipynb diff --git a/examples/notebooks/remote/Logging.ipynb b/examples/notebooks/remote/Logging.ipynb new file mode 100644 index 00000000..d8b5726c --- /dev/null +++ b/examples/notebooks/remote/Logging.ipynb @@ -0,0 +1,164 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Remote Logging Example" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Logging with main client" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import os\n", + "from os.path import join, dirname\n", + "from pathlib import Path\n", + "from dotenv import load_dotenv\n", + "\n", + "# You can set your API Key\n", + "# os.environ[\"OPENAI_API_KEY\"] = \"\"\n", + "# os.environ[\"HEGELAI_API_KEY\"] = \"\"\n", + "\n", + "# You can also import in from your .env file\n", + "dotenv_path = join(Path(os.getcwd()).parent.parent.parent, \".env\") # \".../path_to_env/.env\"\n", + "load_dotenv(dotenv_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import prompttools.logger" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The first president of the United States was George Washington.\n" + ] + } + ], + "source": [ + "import openai\n", + "\n", + "model = \"gpt-3.5-turbo\"\n", + "messages = [\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n", + " {\"role\": \"user\", \"content\": \"Who was the first president?\"},\n", + "]\n", + "\n", + "response = openai.chat.completions.create(model=model, messages=messages)\n", + "message = response.choices[0].message.content\n", + "\n", + "print(message)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Logging with single client" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "prod\n" + ] + } + ], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Logging with main async client" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Logging with single async client" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.7" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} From b04f1c2fc4d82346857e3073d02843a79b104e2f Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 8 Feb 2024 17:04:31 -0800 Subject: [PATCH 167/182] Expand logging example --- examples/notebooks/remote/Logging.ipynb | 57 +++++++++++++++++-------- 1 file changed, 39 insertions(+), 18 deletions(-) diff --git a/examples/notebooks/remote/Logging.ipynb b/examples/notebooks/remote/Logging.ipynb index d8b5726c..5ced4a82 100644 --- a/examples/notebooks/remote/Logging.ipynb +++ b/examples/notebooks/remote/Logging.ipynb @@ -36,15 +36,22 @@ "from pathlib import Path\n", "from dotenv import load_dotenv\n", "\n", - "# You can set your API Key\n", + "# You can set your API Key as such\n", "# os.environ[\"OPENAI_API_KEY\"] = \"\"\n", "# os.environ[\"HEGELAI_API_KEY\"] = \"\"\n", "\n", - "# You can also import in from your .env file\n", + "# You can also import your keys in from your .env file\n", "dotenv_path = join(Path(os.getcwd()).parent.parent.parent, \".env\") # \".../path_to_env/.env\"\n", "load_dotenv(dotenv_path)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The following line of import enables you to start logging while using the normal OpenAI SDK." + ] + }, { "cell_type": "code", "execution_count": 2, @@ -54,6 +61,13 @@ "import prompttools.logger" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Passing arguments with keyword is STRONGLY recommended. Logging is done in the background without blocking your response." + ] + }, { "cell_type": "code", "execution_count": 3, @@ -76,6 +90,7 @@ " {\"role\": \"user\", \"content\": \"Who was the first president?\"},\n", "]\n", "\n", + "# Passing arguments with keyword is STRONGLY recommended\n", "response = openai.chat.completions.create(model=model, messages=messages)\n", "message = response.choices[0].message.content\n", "\n", @@ -86,24 +101,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Logging with single client" + "### Logging with client instances" ] }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "prod\n" - ] - } - ], - "source": [] - }, { "cell_type": "code", "execution_count": null, @@ -132,6 +132,27 @@ "### Logging with single async client" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null, From 20231a70e831caca5b5469df1e03a299fd1778f7 Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 8 Feb 2024 17:05:07 -0800 Subject: [PATCH 168/182] Adding logging example for instance --- examples/notebooks/remote/Logging.ipynb | 41 +++++++++++++++++++++++-- 1 file changed, 38 insertions(+), 3 deletions(-) diff --git a/examples/notebooks/remote/Logging.ipynb b/examples/notebooks/remote/Logging.ipynb index 5ced4a82..c128b0cb 100644 --- a/examples/notebooks/remote/Logging.ipynb +++ b/examples/notebooks/remote/Logging.ipynb @@ -104,12 +104,47 @@ "### Logging with client instances" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can also initialize the client instance with `openai.OpenAI`. Again, logging is done in the background without blocking." + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This is a test.\n" + ] + } + ], + "source": [ + "from openai import OpenAI\n", + "\n", + "client = OpenAI(\n", + " # This is the default and can be omitted\n", + " api_key=os.environ.get(\"OPENAI_API_KEY\"),\n", + ")\n", + "\n", + "response = client.chat.completions.create(\n", + " messages=[\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": \"Say this is a test\",\n", + " }\n", + " ],\n", + " model=\"gpt-3.5-turbo\",\n", + ")\n", + "\n", + "message = response.choices[0].message.content\n", + "print(message)" + ] }, { "cell_type": "markdown", From 77c4d29646405965af56ccf6db1c08ab1b2ecc4d Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 8 Feb 2024 17:05:25 -0800 Subject: [PATCH 169/182] Formatting --- test/test_logger.py | 1 - 1 file changed, 1 deletion(-) diff --git a/test/test_logger.py b/test/test_logger.py index 8e6b4793..8b0adcfc 100644 --- a/test/test_logger.py +++ b/test/test_logger.py @@ -6,7 +6,6 @@ if False: # Skipping this in CI - import openai import prompttools.logger # noqa: F401 Importing this line will monkey-patch `openai.chat.completions.create` From f358a9f3aa8db52146192ea064ee5db2c1bb5c17 Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 8 Feb 2024 17:07:25 -0800 Subject: [PATCH 170/182] Refactor logger `add_to_queue` --- prompttools/logger/logger.py | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/prompttools/logger/logger.py b/prompttools/logger/logger.py index c9cc70df..9990c629 100644 --- a/prompttools/logger/logger.py +++ b/prompttools/logger/logger.py @@ -37,12 +37,20 @@ def __init__(self): self.worker_thread.start() def add_feedback(self, log_id, metric_name, value): - self.feedback_queue.put({ - "log_id": log_id, - "key": metric_name, - "value": value - }) - + self.feedback_queue.put({"log_id": log_id, "key": metric_name, "value": value}) + + def add_to_queue(self, hegel_model: str, result: dict, input_parameters: dict, latency: float, log_id: str): + # TODO: Deal with other_args + self.data_queue.put( + { + "hegel_model": hegel_model, + "result": result, + "input_parameters": input_parameters, # TODO: Need to record `*args` + "latency": latency, + "log_id": log_id, + } + ) + def execute_and_add_to_queue(self, callable_func, **kwargs): if "hegel_model" in kwargs: hegel_model = kwargs["hegel_model"] @@ -53,15 +61,7 @@ def execute_and_add_to_queue(self, callable_func, **kwargs): result = callable_func(**kwargs) latency = perf_counter() - start log_id = str(uuid.uuid4()) - self.data_queue.put( - { - "hegel_model": hegel_model, - "result": result.model_dump_json(), - "input_parameters": json.dumps(kwargs), - "latency": latency, - "log_id": log_id, - } - ) + self.add_to_queue(hegel_model, result.model_dump_json(), json.dumps(kwargs), latency, log_id) result.log_id = log_id return result From 1ba5abe3c9a6fb35432dbc757bb8cdb89f225cdd Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 8 Feb 2024 17:09:04 -0800 Subject: [PATCH 171/182] Accounting for `*args` in logger --- prompttools/logger/logger.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/prompttools/logger/logger.py b/prompttools/logger/logger.py index 9990c629..9cb94c27 100644 --- a/prompttools/logger/logger.py +++ b/prompttools/logger/logger.py @@ -39,7 +39,9 @@ def __init__(self): def add_feedback(self, log_id, metric_name, value): self.feedback_queue.put({"log_id": log_id, "key": metric_name, "value": value}) - def add_to_queue(self, hegel_model: str, result: dict, input_parameters: dict, latency: float, log_id: str): + def add_to_queue( + self, hegel_model: str, result: dict, input_parameters: dict, latency: float, log_id: str, other_args + ): # TODO: Deal with other_args self.data_queue.put( { @@ -51,17 +53,17 @@ def add_to_queue(self, hegel_model: str, result: dict, input_parameters: dict, l } ) - def execute_and_add_to_queue(self, callable_func, **kwargs): + def execute_and_add_to_queue(self, callable_func, *args, **kwargs): if "hegel_model" in kwargs: hegel_model = kwargs["hegel_model"] del kwargs["hegel_model"] else: hegel_model = None start = perf_counter() - result = callable_func(**kwargs) + result = callable_func(*args, **kwargs) latency = perf_counter() - start log_id = str(uuid.uuid4()) - self.add_to_queue(hegel_model, result.model_dump_json(), json.dumps(kwargs), latency, log_id) + self.add_to_queue(hegel_model, result.model_dump_json(), json.dumps(kwargs), latency, log_id, args) result.log_id = log_id return result From eda1b542919565fa41ea0d759619d851d95be616 Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 8 Feb 2024 17:09:54 -0800 Subject: [PATCH 172/182] Logging instance --- prompttools/logger/logger.py | 39 ++++++++++++++++++++++++++++++++++-- 1 file changed, 37 insertions(+), 2 deletions(-) diff --git a/prompttools/logger/logger.py b/prompttools/logger/logger.py index 9cb94c27..56c0ae26 100644 --- a/prompttools/logger/logger.py +++ b/prompttools/logger/logger.py @@ -115,13 +115,48 @@ def send_feedback_to_remote(self, feedback_data): except requests.exceptions.RequestException as e: print(f"Error sending feedback to Flask API: {e}") + sender = Logger() -# Monkey-patching + + +def logging_wrapper(original_fn): + def wrapped_function(*args, **kwargs): + # Call the original function with the provided arguments + + if "hegel_model" in kwargs: + hegel_model = kwargs["hegel_model"] + del kwargs["hegel_model"] + else: + hegel_model = None + start = perf_counter() + result = original_fn(*args, **kwargs) + latency = perf_counter() - start + log_id = str(uuid.uuid4()) + sender.add_to_queue(hegel_model, result.model_dump_json(), json.dumps(kwargs), latency, log_id, args) + result.log_id = log_id + return result + + return wrapped_function + + +# Monkey-patching main client try: openai.chat.completions.create = sender.wrap(openai.chat.completions.create) except Exception: + print("Error monkey-patching main client") print("You may need to add `OPENAI_API_KEY=''` to your `.env` file.") raise +# Monkey-patching client instance +try: + # This is working as of openai SDK version 1.11.1 + openai.resources.chat.completions.Completions.create = logging_wrapper( + openai.resources.chat.completions.Completions.create + ) +except Exception: + print("Error monkey-patch individual client.") + raise + + def add_feedback(*args): - sender.add_feedback(*args) \ No newline at end of file + sender.add_feedback(*args) From a42db4ec1670dfd00f7a3b0cb45b1880b3772cec Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 8 Feb 2024 17:22:25 -0800 Subject: [PATCH 173/182] Switch to kwargs only --- examples/notebooks/remote/Logging.ipynb | 53 ++++++++++++++----------- prompttools/logger/logger.py | 22 +++++----- 2 files changed, 42 insertions(+), 33 deletions(-) diff --git a/examples/notebooks/remote/Logging.ipynb b/examples/notebooks/remote/Logging.ipynb index c128b0cb..b849b80f 100644 --- a/examples/notebooks/remote/Logging.ipynb +++ b/examples/notebooks/remote/Logging.ipynb @@ -65,19 +65,24 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Passing arguments with keyword is STRONGLY recommended. Logging is done in the background without blocking your response." + "Passing arguments with keyword is REQUIRED. Logging is done in the background without blocking your response." ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "The first president of the United States was George Washington.\n" + "ename": "TypeError", + "evalue": "create() takes 1 argument(s) but 2 were given", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[5], line 10\u001b[0m\n\u001b[1;32m 4\u001b[0m messages \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m 5\u001b[0m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrole\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msystem\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcontent\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mYou are a helpful assistant.\u001b[39m\u001b[38;5;124m\"\u001b[39m},\n\u001b[1;32m 6\u001b[0m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrole\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124muser\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcontent\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWho was the first president?\u001b[39m\u001b[38;5;124m\"\u001b[39m},\n\u001b[1;32m 7\u001b[0m ]\n\u001b[1;32m 9\u001b[0m \u001b[38;5;66;03m# Passing arguments with keyword is STRONGLY recommended\u001b[39;00m\n\u001b[0;32m---> 10\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mopenai\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mchat\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompletions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmessages\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 11\u001b[0m message \u001b[38;5;241m=\u001b[39m response\u001b[38;5;241m.\u001b[39mchoices[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mmessage\u001b[38;5;241m.\u001b[39mcontent\n\u001b[1;32m 13\u001b[0m \u001b[38;5;28mprint\u001b[39m(message)\n", + "File \u001b[0;32m~/miniconda3/envs/ptools/lib/python3.11/site-packages/openai/_utils/_utils.py:246\u001b[0m, in \u001b[0;36mrequired_args..inner..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 244\u001b[0m given_params\u001b[38;5;241m.\u001b[39madd(positional[i])\n\u001b[1;32m 245\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mIndexError\u001b[39;00m:\n\u001b[0;32m--> 246\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\n\u001b[1;32m 247\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m() takes \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(positional)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m argument(s) but \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(args)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m were given\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 248\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 250\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m key \u001b[38;5;129;01min\u001b[39;00m kwargs\u001b[38;5;241m.\u001b[39mkeys():\n\u001b[1;32m 251\u001b[0m given_params\u001b[38;5;241m.\u001b[39madd(key)\n", + "\u001b[0;31mTypeError\u001b[0m: create() takes 1 argument(s) but 2 were given" ] } ], @@ -90,8 +95,8 @@ " {\"role\": \"user\", \"content\": \"Who was the first president?\"},\n", "]\n", "\n", - "# Passing arguments with keyword is STRONGLY recommended\n", - "response = openai.chat.completions.create(model=model, messages=messages)\n", + "# Passing arguments with keyword is REQUIRED\n", + "response = openai.chat.completions.create(model, messages=messages)\n", "message = response.choices[0].message.content\n", "\n", "print(message)" @@ -150,21 +155,28 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Logging with main async client" + "### Logging with async client instance\n" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", + "execution_count": 7, "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(1, 2)\n" + ] + } + ], "source": [ - "### Logging with single async client" + "def test_fn(*args):\n", + " print(args)\n", + "\n", + "\n", + "test_fn(1,2)" ] }, { @@ -181,13 +193,6 @@ "outputs": [], "source": [] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "code", "execution_count": null, diff --git a/prompttools/logger/logger.py b/prompttools/logger/logger.py index 56c0ae26..3b026513 100644 --- a/prompttools/logger/logger.py +++ b/prompttools/logger/logger.py @@ -40,30 +40,34 @@ def add_feedback(self, log_id, metric_name, value): self.feedback_queue.put({"log_id": log_id, "key": metric_name, "value": value}) def add_to_queue( - self, hegel_model: str, result: dict, input_parameters: dict, latency: float, log_id: str, other_args + self, + hegel_model: str, + result: dict, + input_parameters: dict, + latency: float, + log_id: str, ): - # TODO: Deal with other_args self.data_queue.put( { "hegel_model": hegel_model, "result": result, - "input_parameters": input_parameters, # TODO: Need to record `*args` + "input_parameters": input_parameters, "latency": latency, "log_id": log_id, } ) - def execute_and_add_to_queue(self, callable_func, *args, **kwargs): + def execute_and_add_to_queue(self, callable_func, **kwargs): if "hegel_model" in kwargs: hegel_model = kwargs["hegel_model"] del kwargs["hegel_model"] else: hegel_model = None start = perf_counter() - result = callable_func(*args, **kwargs) + result = callable_func(**kwargs) latency = perf_counter() - start log_id = str(uuid.uuid4()) - self.add_to_queue(hegel_model, result.model_dump_json(), json.dumps(kwargs), latency, log_id, args) + self.add_to_queue(hegel_model, result.model_dump_json(), json.dumps(kwargs), latency, log_id) result.log_id = log_id return result @@ -120,7 +124,7 @@ def send_feedback_to_remote(self, feedback_data): def logging_wrapper(original_fn): - def wrapped_function(*args, **kwargs): + def wrapped_function(**kwargs): # Call the original function with the provided arguments if "hegel_model" in kwargs: @@ -129,10 +133,10 @@ def wrapped_function(*args, **kwargs): else: hegel_model = None start = perf_counter() - result = original_fn(*args, **kwargs) + result = original_fn(**kwargs) latency = perf_counter() - start log_id = str(uuid.uuid4()) - sender.add_to_queue(hegel_model, result.model_dump_json(), json.dumps(kwargs), latency, log_id, args) + sender.add_to_queue(hegel_model, result.model_dump_json(), json.dumps(kwargs), latency, log_id) result.log_id = log_id return result From 8f228f7a13818b48c3444962a47999fbd0a868b1 Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 9 Feb 2024 15:57:30 -0800 Subject: [PATCH 174/182] Adding Google Gemini chat experiment --- .../google_gemini_chat_experiment.py | 83 +++++++++++++++++++ 1 file changed, 83 insertions(+) create mode 100644 prompttools/experiment/experiments/google_gemini_chat_experiment.py diff --git a/prompttools/experiment/experiments/google_gemini_chat_experiment.py b/prompttools/experiment/experiments/google_gemini_chat_experiment.py new file mode 100644 index 00000000..fecd64cd --- /dev/null +++ b/prompttools/experiment/experiments/google_gemini_chat_experiment.py @@ -0,0 +1,83 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + +try: + import google.generativeai as genai + from google.generativeai.types import content_types + from google.generativeai.types import generation_types + from google.generativeai.types import safety_types +except ImportError: + genai = None + content_types, generation_types, safety_types = None, None, None + + +from .experiment import Experiment +from typing import Optional +import copy + + +class GoogleGeminiChatCompletionExperiment(Experiment): + r""" + This class defines an experiment for Google GenAI's chat API. It accepts lists for each argument + passed into Vertex AI's API, then creates a cartesian product of those arguments, and gets results for each. + + Note: + - All arguments here should be a ``list``, even if you want to keep the argument frozen + (i.e. ``temperature=[1.0]``), because the experiment will try all possible combination + of the input arguments. + - You need to set up your Google Vertex AI credentials properly before executing this experiment. One option + is to execute on Google Cloud's Colab. + + Args: + model (list[str]): Which model to call, as a string or a ``types.Model`` (e.g. ``'models/text-bison-001'``). + + contents (list[content_types]): Message for the chat model to respond. + + generation_config (list[generation_types]): Configurations for the generation of the model. + + safety_settings (list[safety_types]): Configurations for the safety features of the model. + """ + + def __init__( + self, + model: list[str], + contents: list[content_types.ContentsType], + generation_config: list[Optional[generation_types.GenerationConfigType]] = [None], + safety_settings: list[Optional[safety_types.SafetySettingOptions]] = [None], + ): + if genai is None: + raise ModuleNotFoundError( + "Package `google-generativeai` is required to be installed to use Google GenAI API in this experiment." + "Please use `pip install google-generativeai` to install the package or run this in Google Colab." + ) + + self.completion_fn = self.google_text_completion_fn + + self.all_args = dict( + model=model, + contents=contents, + generation_config=generation_config, + safety_settings=safety_settings, + ) + super().__init__() + + def google_text_completion_fn(self, **input_args): + params = copy.deepcopy(input_args) + model = genai.GenerativeModel(input_args["model"]) + del params["model"] + response = model.generate_content(**params) + return response + + @staticmethod + def _extract_responses(response) -> list[str]: + # `response.text` will return the top response + return response.text + + def _get_model_names(self): + return [combo["model"] for combo in self.argument_combos] + + def _get_prompts(self): + return [combo["message"] for combo in self.argument_combos] From 7f957a7cefd3bd3b920ed8639901c79be04005b6 Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 9 Feb 2024 15:57:51 -0800 Subject: [PATCH 175/182] Adding Google Gemini chat experiment (colab) notebook example --- .../GoogleGeminiChatExperiment.ipynb | 173 ++++++++++++++++++ 1 file changed, 173 insertions(+) create mode 100644 examples/notebooks/GoogleGeminiChatExperiment.ipynb diff --git a/examples/notebooks/GoogleGeminiChatExperiment.ipynb b/examples/notebooks/GoogleGeminiChatExperiment.ipynb new file mode 100644 index 00000000..3415baff --- /dev/null +++ b/examples/notebooks/GoogleGeminiChatExperiment.ipynb @@ -0,0 +1,173 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Google Gemini Chat Experiment Example" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Installations" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# !pip install --quiet --force-reinstall prompttools" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup imports and API keys" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In order for the Google GenAI API to work, you must set up your Google AI Studio credentials (one example in the following cell) or execute this experiment on Google Colab.\n", + "\n", + "Executing on Google Colab may require the least amount of set-up." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "import google.generativeai as genai\n", + "\n", + "from google.colab import userdata\n", + "\n", + "GOOGLE_API_KEY = \"\" # You can manually set your key\n", + "# GOOGLE_API_KEY = userdata.get('GOOGLE_API_KEY') # Or, you can read it from your account\n", + "\n", + "genai.configure(api_key=GOOGLE_API_KEY)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Once you succeed in setting up your credential, you should be able to execute the following cell without error and see the list of models you have access to." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "for m in genai.list_models():\n", + " if 'generateContent' in m.supported_generation_methods:\n", + " print(m.name)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Then we'll import the relevant `prompttools` modules to setup our experiment." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2023-07-28T21:15:15.360723Z", + "start_time": "2023-07-28T21:15:15.230441Z" + }, + "collapsed": true, + "jupyter": { + "outputs_hidden": true + } + }, + "source": [ + "## Run an experiment" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, we create our test inputs. We can iterate over models (`\"gemini-pro\"` in this case, you can also use the ultra model if you have access to it), contents (equivalent of prompt). You can also experiment with configurations like temperature using `generation_config` or `safety_settings`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "from prompttools.experiment import GoogleVertexChatCompletionExperiment\n", + "\n", + "model = ['gemini-pro']\n", + "contents = [\"What is the meaning of life?\", \"Who was the first president?\"]\n", + "\n", + "experiment = GoogleVertexChatCompletionExperiment(model=model, contents=contents)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "experiment.run()\n", + "experiment.visualize()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Evaluate the model response" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Please reference other notebooks (such as Google PaLM 2, Anthropic) for detailed evaluation of the model's response." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.7" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} From 10dd707735c8890844c1004d088a9c8dcec4de2e Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 9 Feb 2024 15:58:06 -0800 Subject: [PATCH 176/182] Adding Google Gemini chat to doc and import --- docs/source/experiment.rst | 2 ++ prompttools/experiment/__init__.py | 2 ++ 2 files changed, 4 insertions(+) diff --git a/docs/source/experiment.rst b/docs/source/experiment.rst index d499556e..ce64b00e 100644 --- a/docs/source/experiment.rst +++ b/docs/source/experiment.rst @@ -37,6 +37,8 @@ LLMs .. autoclass:: HuggingFaceHubExperiment +.. autoclass:: GoogleGeminiChatCompletionExperiment + .. autoclass:: GooglePaLMCompletionExperiment .. autoclass:: GoogleVertexChatCompletionExperiment diff --git a/prompttools/experiment/__init__.py b/prompttools/experiment/__init__.py index 26df82fc..6f712f91 100644 --- a/prompttools/experiment/__init__.py +++ b/prompttools/experiment/__init__.py @@ -10,6 +10,7 @@ from .experiments.openai_completion_experiment import OpenAICompletionExperiment from .experiments.anthropic_completion_experiment import AnthropicCompletionExperiment from .experiments.huggingface_hub_experiment import HuggingFaceHubExperiment +from .experiments.google_gemini_chat_experiment import GoogleGeminiChatCompletionExperiment from .experiments.google_palm_experiment import GooglePaLMCompletionExperiment from .experiments.google_vertex_chat_experiment import GoogleVertexChatCompletionExperiment from .experiments.llama_cpp_experiment import LlamaCppExperiment @@ -28,6 +29,7 @@ "AnthropicCompletionExperiment", "ChromaDBExperiment", "Experiment", + "GoogleGeminiChatCompletionExperiment", "GooglePaLMCompletionExperiment", "GoogleVertexChatCompletionExperiment", "LanceDBExperiment", From 714b046ff251762c7123edeb4c4ff10472e57130 Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 9 Feb 2024 15:59:19 -0800 Subject: [PATCH 177/182] Updating README supported models --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index b95d01b7..f5707bd0 100644 --- a/README.md +++ b/README.md @@ -100,7 +100,9 @@ LLMs - LLaMA.Cpp (LLaMA 1, LLaMA 2) - **Supported** - HuggingFace (Hub API, Inference Endpoints) - **Supported** - Anthropic - **Supported** -- Google PaLM - **Supported** +- Mistral AI - **Supported** +- Google Gemini - **Supported** +- Google PaLM (legacy) - **Supported** - Google Vertex AI - **Supported** - Azure OpenAI Service - **Supported** - Replicate - **Supported** From 5a807328435d269d7ed17b53f86283e116e08244 Mon Sep 17 00:00:00 2001 From: Kevin Date: Sat, 10 Feb 2024 16:09:50 -0800 Subject: [PATCH 178/182] Fix typing --- .../experiment/experiments/google_gemini_chat_experiment.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/prompttools/experiment/experiments/google_gemini_chat_experiment.py b/prompttools/experiment/experiments/google_gemini_chat_experiment.py index fecd64cd..60a4c627 100644 --- a/prompttools/experiment/experiments/google_gemini_chat_experiment.py +++ b/prompttools/experiment/experiments/google_gemini_chat_experiment.py @@ -44,9 +44,9 @@ class GoogleGeminiChatCompletionExperiment(Experiment): def __init__( self, model: list[str], - contents: list[content_types.ContentsType], - generation_config: list[Optional[generation_types.GenerationConfigType]] = [None], - safety_settings: list[Optional[safety_types.SafetySettingOptions]] = [None], + contents: list["content_types.ContentsType"], + generation_config: list[Optional["generation_types.GenerationConfigType"]] = [None], + safety_settings: list[Optional["safety_types.SafetySettingOptions"]] = [None], ): if genai is None: raise ModuleNotFoundError( From 7f47fd83f6a97a20af0dc66d0f28edc1a7685516 Mon Sep 17 00:00:00 2001 From: Hashem Alsaket Date: Wed, 13 Mar 2024 19:41:56 -0500 Subject: [PATCH 179/182] MusicGen experiment #82 (#106) * music gen init * musicgen mock fn * init class * llm -> tta todo * mv musicgen experiment to audio_experiments dir * MusicGen experiment * fix init * protect from librosa import --- .../MusicGenExperiment.ipynb | 182 ++++++++++++++++++ .../sample_audio_files/80s_billy_joel.wav | Bin 0 -> 512078 bytes prompttools/experiment/__init__.py | 2 + .../experiment/experiments/experiment.py | 6 + .../experiments/musicgen_experiment.py | 160 +++++++++++++++ prompttools/mock/mock.py | 12 ++ prompttools/selector/prompt_selector.py | 3 + prompttools/utils/__init__.py | 3 +- prompttools/utils/similarity.py | 39 ++++ 9 files changed, 406 insertions(+), 1 deletion(-) create mode 100644 examples/notebooks/audio_experiments/MusicGenExperiment.ipynb create mode 100644 examples/notebooks/audio_experiments/sample_audio_files/80s_billy_joel.wav create mode 100644 prompttools/experiment/experiments/musicgen_experiment.py diff --git a/examples/notebooks/audio_experiments/MusicGenExperiment.ipynb b/examples/notebooks/audio_experiments/MusicGenExperiment.ipynb new file mode 100644 index 00000000..643d798e --- /dev/null +++ b/examples/notebooks/audio_experiments/MusicGenExperiment.ipynb @@ -0,0 +1,182 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/hashem/.local/lib/python3.10/site-packages/torch/cuda/__init__.py:546: UserWarning: Can't initialize NVML\n", + " warnings.warn(\"Can't initialize NVML\")\n" + ] + } + ], + "source": [ + "from prompttools.experiment import MusicGenExperiment\n", + "from prompttools.utils.similarity import cos_similarity" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "compare_audio_paths = [\n", + " \"sample_audio_files/80s_billy_joel.wav\",\n", + " \"sample_audio_files/80s_billy_joel.wav\",\n", + "]\n", + "\n", + "experiment = MusicGenExperiment(\n", + " repo_id=[\"facebook/musicgen-small\"],\n", + " prompt=[\"80s Rock n Roll\", \"90s R&B\"],\n", + " duration=[5],\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'repo_id': ['facebook/musicgen-small'],\n", + " 'duration': [5],\n", + " 'prompt': ['80s Rock n Roll', '90s R&B']}" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "experiment.all_args" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "CLIPPING generated_audio_files/80s Rock n Roll happening with proba (a bit of clipping is okay): 0.01226953137665987 maximum scale: 2.283313274383545\n", + "CLIPPING generated_audio_files/80s Rock n Roll happening with proba (a bit of clipping is okay): 1.1718750101863407e-05 maximum scale: 1.1627463102340698\n", + "CLIPPING generated_audio_files/80s Rock n Roll happening with proba (a bit of clipping is okay): 1.5625000742147677e-05 maximum scale: 1.009731411933899\n", + "CLIPPING generated_audio_files/80s Rock n Roll happening with proba (a bit of clipping is okay): 0.009933593682944775 maximum scale: 1.5949103832244873\n", + "CLIPPING generated_audio_files/80s Rock n Roll happening with proba (a bit of clipping is okay): 0.0016132812015712261 maximum scale: 1.474196434020996\n", + "CLIPPING generated_audio_files/80s Rock n Roll happening with proba (a bit of clipping is okay): 0.006332031451165676 maximum scale: 1.7936652898788452\n", + "CLIPPING generated_audio_files/80s Rock n Roll happening with proba (a bit of clipping is okay): 0.00017968750034924597 maximum scale: 1.1629440784454346\n", + "CLIPPING generated_audio_files/80s Rock n Roll happening with proba (a bit of clipping is okay): 0.0023125000298023224 maximum scale: 1.9037144184112549\n", + "CLIPPING generated_audio_files/80s Rock n Roll happening with proba (a bit of clipping is okay): 0.05552734434604645 maximum scale: 2.8524105548858643\n", + "CLIPPING generated_audio_files/80s Rock n Roll happening with proba (a bit of clipping is okay): 0.0077851563692092896 maximum scale: 1.6531202793121338\n", + "CLIPPING generated_audio_files/80s Rock n Roll happening with proba (a bit of clipping is okay): 0.005824218969792128 maximum scale: 1.2873204946517944\n", + "CLIPPING generated_audio_files/80s Rock n Roll happening with proba (a bit of clipping is okay): 0.0003867187479045242 maximum scale: 1.2601758241653442\n", + "CLIPPING generated_audio_files/80s Rock n Roll happening with proba (a bit of clipping is okay): 0.000714843743480742 maximum scale: 1.5760105848312378\n", + "CLIPPING generated_audio_files/80s Rock n Roll happening with proba (a bit of clipping is okay): 0.006160156335681677 maximum scale: 1.741112470626831\n", + "CLIPPING generated_audio_files/90s R&B happening with proba (a bit of clipping is okay): 0.009101562201976776 maximum scale: 2.25307035446167\n", + "CLIPPING generated_audio_files/90s R&B happening with proba (a bit of clipping is okay): 0.0023593748919665813 maximum scale: 1.4188467264175415\n", + "CLIPPING generated_audio_files/90s R&B happening with proba (a bit of clipping is okay): 0.004226562567055225 maximum scale: 1.790489912033081\n", + "CLIPPING generated_audio_files/90s R&B happening with proba (a bit of clipping is okay): 0.012875000014901161 maximum scale: 2.996934652328491\n", + "CLIPPING generated_audio_files/90s R&B happening with proba (a bit of clipping is okay): 0.0063593750819563866 maximum scale: 1.5094847679138184\n", + "CLIPPING generated_audio_files/90s R&B happening with proba (a bit of clipping is okay): 0.0074609373696148396 maximum scale: 2.400330066680908\n", + "CLIPPING generated_audio_files/90s R&B happening with proba (a bit of clipping is okay): 0.0032187500037252903 maximum scale: 1.4209964275360107\n" + ] + } + ], + "source": [ + "experiment.run()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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zj6idUvDs!lKoUBmZO;tr2QTmpB0ussctZkm0<{1&{;z=R zLC*r!!Tuo+f~SK%g|3PSi#!~@IovNyK`slK3d|(Syl?nz@Zfs7`+LjWaZGFA=~$T`CMv+sBjQ~o$Y*oV3D>0oFYK~>KDop> zn>f98oN$2Kd?vkhSZ0kO((LZQuM=*e7T_0~zcOzpc$e@~xgJ zh|zdXT1u>C;i@gNGr~4rviOt`EsL8>;~wD6WnCP`abFIdV}2cWVXzoPdiz-DSO(KT z$sGFFv$rp$SKh_xcr;qo^ZpO3qo`}yz{B=C{hIdH- None: """ @@ -360,6 +365,7 @@ def evaluate( >>> static_eval_fn_kwargs={"response_column_name": "response"}) """ self.image_experiment = image_experiment + self.audio_experiment = audio_experiment if metric_name in self.score_df.columns: logging.warning(metric_name + " is already present, skipping.") return diff --git a/prompttools/experiment/experiments/musicgen_experiment.py b/prompttools/experiment/experiments/musicgen_experiment.py new file mode 100644 index 00000000..1013eeb5 --- /dev/null +++ b/prompttools/experiment/experiments/musicgen_experiment.py @@ -0,0 +1,160 @@ +# Copyright (c) Hegel AI, Inc. +# All rights reserved. +# +# This source code's license can be found in the +# LICENSE file in the root directory of this source tree. + +import os +from typing import Any, Dict, List, Union +import itertools + +from time import perf_counter +import logging + +try: + import librosa +except ImportError: + librosa = None + +try: + from audiocraft.models import MusicGen + music_gen = MusicGen.get_pretrained + from audiocraft.data.audio import audio_write +except ImportError: + music_gen = None + +from prompttools.selector.prompt_selector import PromptSelector +from prompttools.mock.mock import mock_music_gen_completion_fn + +from .experiment import Experiment +from .error import PromptExperimentException + + +class MusicGenExperiment(Experiment): + r""" + Experiment for MusicGen's API. + It accepts lists for each argument passed into MusicGen's API, + then creates a cartesian product of those arguments, and gets results for each. + + Note: + - All arguments here should be a ``list``, even if you want to keep the argument frozen + (i.e. ``temperature=[1.0]``), because the experiment will try all possible combination + of the input arguments. For example, ``kwargs`` should have string keys, + with ``list``s being the values. + + Args: + repo_id (List[str]): IDs of repository (e.g. [`facebook/musicgen-small`]). + prompt (List[str] | List[PromptSelector]): list of prompts to test + task (List[str]): List of tasks in strings. Determines whether to force a task instead of using task + specified in the repository. + **kwargs (Dict[str, list[object]]): Keyword parameters used in the call to ``MusicGen``. + The values should be ``list``s. + """ + + MODEL_PARAMETERS = ["repo_id", "task"] + + CALL_PARAMETERS = ["prompt"] + + def __init__( + self, + repo_id: List[str], + prompt: Union[List[str], List[PromptSelector]], + duration: List[int] = [5], + **kwargs: Dict[str, list[object]], + ): + if music_gen is None: + raise ModuleNotFoundError( + "Package `audiocraft` is required to be installed to use this experiment." + "Please use `pip install audiocraft` to install the package" + ) + if librosa is None: + raise ModuleNotFoundError( + "Package `librosa` is required to be installed to use this experiment." + "Please use `pip install librosa` to install the package" + ) + if "generated_audio_files" not in os.listdir(): + os.mkdir("generated_audio_files") + self.duration = duration + self.completion_fn = self.music_gen_completion_fn + if os.getenv("DEBUG", default=False): + self.completion_fn = mock_music_gen_completion_fn + self.model_params = dict(repo_id=repo_id, duration=self.duration) + + # If we are using a prompt selector, we need to render + # messages, as well as create prompt_keys to map the messages + # to corresponding prompts in other models. + if isinstance(prompt[0], PromptSelector): + self.prompt_keys = {selector.for_music_gen(): selector.for_music_gen() for selector in prompt} + prompt = [selector.for_music_gen() for selector in prompt] + else: + self.prompt_keys = prompt + + self.call_params = dict(prompt=prompt) + for k, v in kwargs.items(): + self.CALL_PARAMETERS.append(k) + self.call_params[k] = v + + self.all_args = self.model_params | self.call_params + super().__init__() + + def prepare(self) -> None: + r""" + Creates argument combinations by taking the cartesian product of all inputs. + """ + self.model_argument_combos = [ + dict(zip(self.model_params, val)) for val in itertools.product(*self.model_params.values()) + ] + self.call_argument_combos = [ + dict(zip(self.call_params, val)) for val in itertools.product(*self.call_params.values()) + ] + + def music_gen_completion_fn( + self, + **params: Dict[str, Any], + ): + r""" + Local model helper function to make request + """ + signal, sr = librosa.load(f'generated_audio_files/{params["prompt"]}.wav') + # Extract relevant features, for example, Mel-frequency cepstral coefficients (MFCCs) + mfccs = librosa.feature.mfcc(y=signal, sr=sr) + return mfccs.flatten() + + def run( + self, + runs: int = 1, + ) -> None: + r""" + Create tuples of input and output for every possible combination of arguments. + For each combination, it will execute `runs` times, default to 1. + # TODO This can be done with an async queue + """ + if not self.argument_combos: + logging.info("Preparing first...") + self.prepare() + results = [] + latencies = [] + for model_combo in self.model_argument_combos: + client = music_gen( + name=model_combo["repo_id"], + ) + client.set_generation_params(duration=8) + for call_combo in self.call_argument_combos: + wav = client.generate(call_combo["prompt"]) + for _, one_wav in enumerate(wav): + audio_write(f'generated_audio_files/{call_combo["prompt"]}', one_wav.cpu(), client.sample_rate, strategy="loudness") + for _ in range(runs): + call_combo["client"] = client + start = perf_counter() + res = self.completion_fn(**call_combo) + latencies.append(perf_counter() - start) + results.append(res) + self.argument_combos.append(model_combo | call_combo) + if len(results) == 0: + logging.error("No results. Something went wrong.") + raise PromptExperimentException + self._construct_result_dfs(self.argument_combos, results, latencies, extract_response_equal_full_result=True) + + @staticmethod + def _extract_responses(output: List[Dict[str, object]]) -> List[float]: + return output diff --git a/prompttools/mock/mock.py b/prompttools/mock/mock.py index 6e4b8867..76bbba3a 100644 --- a/prompttools/mock/mock.py +++ b/prompttools/mock/mock.py @@ -14,6 +14,11 @@ except ImportError: cv2 = None +try: + import librosa +except ImportError: + librosa = None + class DotDict(dict): r""" @@ -194,3 +199,10 @@ def mock_qdrant_fn(**kwargs): vector=[0.1, 0.2, 0.3], ) ] + + +def mock_music_gen_completion_fn(**kwargs): + y, sr = librosa.load("../../examples/notebooks/audio_experiments/sample_audio_files/80s_billy_joel.wav") + # Extract relevant features, for example, Mel-frequency cepstral coefficients (MFCCs) + mfccs = librosa.feature.mfcc(y=y, sr=sr) + return mfccs.flatten() diff --git a/prompttools/selector/prompt_selector.py b/prompttools/selector/prompt_selector.py index 6e6b3f5c..4c01aa41 100644 --- a/prompttools/selector/prompt_selector.py +++ b/prompttools/selector/prompt_selector.py @@ -66,3 +66,6 @@ def for_anthropic(self): def for_palm(self): return PALM_TEMPLATE.format(instruction=self.instruction, user_input=self.user_input) + + def for_music_gen(self): + return GENERIC_TEMPLATE.format(instruction=self.instruction, user_input=self.user_input) diff --git a/prompttools/utils/__init__.py b/prompttools/utils/__init__.py index fdbd32cc..38325a8b 100644 --- a/prompttools/utils/__init__.py +++ b/prompttools/utils/__init__.py @@ -14,7 +14,7 @@ from .expected import compute_similarity_against_model from .moderation import apply_moderation from .ranking_correlation import ranking_correlation -from .similarity import semantic_similarity +from .similarity import semantic_similarity, cos_similarity from .validate_json import validate_json_response from .validate_python import validate_python_response @@ -30,6 +30,7 @@ "apply_moderation", "ranking_correlation", "semantic_similarity", + "cos_similarity", "similarity", "validate_json", "validate_json_response", diff --git a/prompttools/utils/similarity.py b/prompttools/utils/similarity.py index 33a74eaa..812cc884 100644 --- a/prompttools/utils/similarity.py +++ b/prompttools/utils/similarity.py @@ -21,6 +21,16 @@ except ImportError: skimage_structural_similarity = None +try: + from sklearn.metrics.pairwise import cosine_similarity +except ImportError: + cosine_similarity = None + +try: + import librosa +except ImportError: + librosa = None + EMBEDDING_MODEL = [] CHROMA_CLIENT = [] @@ -135,3 +145,32 @@ def semantic_similarity(row: pandas.core.series.Series, expected: str, response_ if len(expected) == 1: logging.warn("Expected should be a list of strings." + "You may have passed in a single string") return compute(expected, row[response_column_name]) + + +def cos_similarity( + row: pandas.core.series.Series, expected: str, response_column_name: str = "response" +) -> float: + r""" + Compute the cosine similarity between two tensors. + + Args: + row (pandas.core.series.Series): A row of data from the full DataFrame (including input, model response, other + metrics, etc). + expected (Any): the column name of the expected audio signal responses in each row + response_column_name (str): the column name that contains the model's response, defaults to ``"response"`` + """ + if cosine_similarity is None: + raise ModuleNotFoundError( + "Package `sklearn` is required to be installed to use this evaluation method." + "Please use `pip install scikit-learn` to install the package" + ) + if librosa is None: + raise ModuleNotFoundError( + "Package `librosa` is required to be installed to use this evaluation method." + "Please use `pip install librosa` to install the package" + ) + expected_audio_signal, sr = librosa.load(expected) + # Extract relevant features, for example, Mel-frequency cepstral coefficients (MFCCs) + mfccs = librosa.feature.mfcc(y=expected_audio_signal, sr=sr) + similarity = cosine_similarity([row[response_column_name]], [mfccs.flatten()])[0][0] + return similarity From 5fef89674f51311cf28ee45ec032126879b274ff Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 15 Mar 2024 15:17:29 -0400 Subject: [PATCH 180/182] Update version numbers --- docs/source/conf.py | 2 +- prompttools/version.py | 4 ++-- pyproject.toml | 2 +- setup.py | 7 ++++--- version.txt | 2 +- 5 files changed, 9 insertions(+), 8 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index c9d1bf03..77ba74d9 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -11,7 +11,7 @@ project = "prompttools" copyright = "2023, Hegel AI" author = "Hegel AI" -release = "0.0.45" +release = "0.0.46" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/prompttools/version.py b/prompttools/version.py index 49a555da..b83cf04f 100644 --- a/prompttools/version.py +++ b/prompttools/version.py @@ -1,2 +1,2 @@ -__version__ = '0.0.45a0+6151062' -git_version = '6151062e36d63229b66d1c4193f0173ad022502d' +__version__ = "0.0.46a0+5a80732" +git_version = "5a807328435d269d7ed17b53f86283e116e08244" diff --git a/pyproject.toml b/pyproject.toml index e01419d8..ca5c6f7a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "prompttools" -version = "0.0.45" +version = "0.0.46" authors = [ { name="Hegel AI", email="team@hegel-ai.com" }, ] diff --git a/setup.py b/setup.py index 9d1251b1..9d7da666 100644 --- a/setup.py +++ b/setup.py @@ -26,8 +26,9 @@ def _get_requirements(): def _get_version(): """Get package version.""" - with open(os.path.join(ROOT_DIR, "version.txt")) as f: - version = f.readline().strip() + # with open(os.path.join(ROOT_DIR, "version.txt")) as f: + # version = f.readline().strip() + version = "0.0.46a0" sha = "Unknown" try: @@ -82,7 +83,7 @@ def remove_extension(pattern): if __name__ == "__main__": VERSION, SHA = _get_version() # TODO: Exporting the version here breaks `python -m build` - _export_version(VERSION, SHA) + # _export_version(VERSION, SHA) print("-- Building version " + VERSION) diff --git a/version.txt b/version.txt index 0f225676..74f9c47d 100644 --- a/version.txt +++ b/version.txt @@ -1 +1 @@ -0.0.45a0 +0.0.46a0 From 518bff43b1ef760d7b9755bb9c15bcb5023635d2 Mon Sep 17 00:00:00 2001 From: Jonathan Nguyen <48837888+jonatng@users.noreply.github.com> Date: Fri, 29 Mar 2024 15:58:50 -0700 Subject: [PATCH 181/182] [PR-1] added Jupyter Notebook dependency for installation (#123) * [PR-1] added Jupyter Notebook dependency for installation * [PR-1] added pip install notebook to OpenAi Chat Experiment Example * updated readMe step * added pip install notebook in ReadME * Update README.md * Update examples/notebooks/OpenAIChatExperiment.ipynb --------- Co-authored-by: Kevin Tse --- README.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index f5707bd0..91efaec5 100644 --- a/README.md +++ b/README.md @@ -69,7 +69,10 @@ You can also run the notebook in [Google Colab](https://colab.research.google.co If you want to interact with `prompttools` using our playground interface, you can launch it with the following commands. -First, install prompttools: +You can run a simple example of a `prompttools` locally with the following + +``` +pip install notebook # If jupyter notebook has not been installed ``` pip install prompttools From 2446cc9e629fef0a82553ec338c20a203f0688b3 Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 29 Mar 2024 18:59:16 -0400 Subject: [PATCH 182/182] Fix README --- README.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/README.md b/README.md index 91efaec5..43b3e9ab 100644 --- a/README.md +++ b/README.md @@ -73,8 +73,6 @@ You can run a simple example of a `prompttools` locally with the following ``` pip install notebook # If jupyter notebook has not been installed - -``` pip install prompttools ```

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