8000 feat(py/dotpromptz): test harness that creates suites and test case methods dynamically by yesudeep · Pull Request #279 · google/dotprompt · GitHub
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feat(py/dotpromptz): test harness that creates suites and test case methods dynamically #279

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May 14, 2025
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feat(py/dotpromptz): test harness that creates suites and test case methods dynamically #279

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13 changes: 7 additions & 6 deletions README.md
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@@ -1,6 +1,7 @@
[![Go checks](https://github.com/google/dotprompt/actions/workflows/go.yml/badge.svg)](https://github.com/google/dotprompt/actions/workflows/go.yml)
[![Python checks](https://github.com/google/dotprompt/actions/workflows/python.yml/badge.svg)](https://github.com/google/dotprompt/actions/workflows/python.yml)
[![JS checks](https://github.com/google/dotprompt/actions/workflows/test.yml/badge.svg)](https://github.com/google/dotprompt/actions/workflows/test.yml)
[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/google/dotprompt)

# Dotprompt: Executable GenAI Prompt Templates

Expand All @@ -16,26 +17,26 @@ An executable prompt template is a file that contains not only the text of a
prompt but also metadata and instructions for how to use that prompt with a
generative AI model. Here's what makes Dotprompt files executable:

- **Metadata Inclusion**: Dotprompt files include metadata about model
* **Metadata Inclusion**: Dotprompt files include metadata about model
configuration, input requirements, and expected output format. This
information is typically stored in a YAML frontmatter section at the beginning
of the file.

- **Self-Contained Entity**: Because a Dotprompt file contains all the necessary
* **Self-Contained Entity**: Because a Dotprompt file contains all the necessary
information to execute a prompt, it can be treated as a self-contained entity.
This means you can "run" a Dotprompt file directly, without needing additional
configuration or setup in your code.

- **Model Configuration**: The file specifies which model to use and how to
* **Model Configuration**: The file specifies which model to use and how to
configure it (e.g., temperature, max tokens).

- **Input Schema**: It defines the structure of the input data expected by the
* **Input Schema**: It defines the structure of the input data expected by the
prompt, allowing for validation and type-checking.

- **Output Format**: The file can specify the expected format of the model's
* **Output Format**: The file can specify the expected format of the model's
output, which can be used for parsing and validation.

- **Templating**: The prompt text itself uses Handlebars syntax, allowing for
* **Templating**: The prompt text itself uses Handlebars syntax, allowing for
dynamic content insertion based on input variables.

This combination of features makes it possible to treat a Dotprompt file as an
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