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Mistral AI

A Ruby gem for interacting with Mistral AI's large language models.

The image features a graphic that merges a red ruby gem with a robotic face to symbolize the integration of a Ruby software library with Mistral AI's technology. The ruby has a reflective white top facet and the robot face includes two orange eyes, reflecting the Mistral AI logo's color. The design is modern and set against a dark background to emphasize the gem and robotic features.

This Gem is designed to provide low-level access to Mistral, enabling people to build abstractions on top of it. If you are interested in more high-level abstractions or more user-friendly tools, you may want to consider Nano Bots 💎 🤖.

TL;DR and Quick Start

gem 'mistral-ai', '~> 1.2.0'
require 'mistral-ai'

client = Mistral.new(
  credentials: { api_key: ENV['MISTRAL_API_KEY'] },
  options: { server_sent_events: true }
)

result = client.chat_completions(
  { model: 'mistral-medium',
    messages: [{ role: 'user', content: 'hi!' }] }
)

Result:

{ 'id' => 'cmpl-74fb544d49d04195a4182342936af43b',
  'object' => 'chat.completion',
  'created' => 1_703_792_737,
  'model' => 'mistral-medium',
  'choices' =>
  [{ 'index' => 0,
     'message' =>
     { 'role' => 'assistant',
       'content' =>
       "Hello! How can I assist you today? If you have any questions or need help with something, feel free to ask. I'm here to help.\n" \
         "\n" \
         "If you're not sure where to start, you can ask me about a specific topic, such as a programming language, a scientific concept, or a current event. You can also ask me to tell you a joke, generate a random number, or provide a fun fact.\n" \
         "\n" \
         "I'm a large language model trained by Mistral AI, so I can understand and generate human-like text on a wide range of topics. I can also perform tasks such as summarizing text, translating between languages, and answering questions about a given text. I look forward to helping you!" },
     'finish_reason' => 'stop' }],
  'usage' => { 'prompt_tokens' => 10, 'total_tokens' => 166, 'completion_tokens' => 156 } }

Index

Setup

Installing

gem install mistral-ai -v 1.2.0
gem 'mistral-ai', '~> 1.2.0'

Credentials

You can obtain your API key from the Mistral AI Platform.

Usage

Client

Ensure that you have an API Key for authentication.

Create a new client:

require 'mistral-ai'

client = Mistral.new(
  credentials: { api_key: ENV['MISTRAL_API_KEY'] },
  options: { server_sent_events: true }
)

Custom Address

You can use a custom address:

require 'mistral-ai'

client = Mistral.new(
  credentials: {
    address: 'https://api.mistral.ai',
    api_key: ENV['MISTRAL_API_KEY']
  },
  options: { server_sent_events: true }
)

Methods

chat_completions

Without Streaming Events
result = client.chat_completions(
  { model: 'mistral-medium',
    messages: [{ role: 'user', content: 'hi!' }] }
)

Result:

{ 'id' => 'cmpl-74fb544d49d04195a4182342936af43b',
  'object' => 'chat.completion',
  'created' => 1_703_792_737,
  'model' => 'mistral-medium',
  'choices' =>
  [{ 'index' => 0,
     'message' =>
     { 'role' => 'assistant',
       'content' =>
       "Hello! How can I assist you today? If you have any questions or need help with something, feel free to ask. I'm here to help.\n" \
         "\n" \
         "If you're not sure where to start, you can ask me about a specific topic, such as a programming language, a scientific concept, or a current event. You can also ask me to tell you a joke, generate a random number, or provide a fun fact.\n" \
         "\n" \
         "I'm a large language model trained by Mistral AI, so I can understand and generate human-like text on a wide range of topics. I can also perform tasks such as summarizing text, translating between languages, and answering questions about a given text. I look forward to helping you!" },
     'finish_reason' => 'stop' }],
  'usage' => { 'prompt_tokens' => 10, 'total_tokens' => 166, 'completion_tokens' => 156 } }
Receiving Stream Events

Ensure that you have enabled Server-Sent Events before using blocks for streaming. You also need to add stream: true in your payload:

client.chat_completions(
  { model: 'mistral-medium',
    stream: true,
    messages: [{ role: 'user', content: 'hi!' }] }
) do |event, parsed, raw|
  puts event
end

Event:

{ 'id' => 'cmpl-011e6223d8414df4840293b98e0b18ca',
  'object' => 'chat.completion.chunk',
  'created' => 1_703_796_464,
  'model' => 'mistral-medium',
  'choices' => [
    { 'index' => 0, 'delta' => { 'role' => nil, 'content' => 'Hello' },
      'finish_reason' => nil }
  ] }

You can get all the receive events at once as an array:

result = client.chat_completions(
  { model: 'mistral-medium',
    stream: true,
    messages: [{ role: 'user', content: 'hi!' }] }
)

Result:

[{ 'id' => 'cmpl-20bc384332d749958251e11427aeeb42',
   'model' => 'mistral-medium',
   'choices' => [{ 'index' => 0, 'delta' => { 'role' => 'assistant' }, 'finish_reason' => nil }] },
 { 'id' => 'cmpl-20bc384332d749958251e11427aeeb42',
   'object' => 'chat.completion.chunk',
   'created' => 1_703_796_630,
   'model' => 'mistral-medium',
   'choices' => [{ 'index' => 0, 'delta' => { 'role' => nil, 'content' => 'Hello! How can I' },
                   'finish_reason' => nil }] },
 { 'id' => 'cmpl-20bc384332d749958251e11427aeeb42',
   'object' => 'chat.completion.chunk',
   'created' => 1_703_796_630,
   'model' => 'mistral-medium',
   'choices' => [{ 'index' => 0, 'delta' => { 'role' => nil, 'content' => ' assist you today?' },
                   'finish_reason' => nil }] },
 # ...
 { 'id' => 'cmpl-20bc384332d749958251e11427aeeb42',
   'object' => 'chat.completion.chunk',
   'created' => 1_703_796_630,
   'model' => 'mistral-medium',
   'choices' => [{ 'index' => 0, 'delta' => { 'role' => nil, 'content' => '' },
                   'finish_reason' => 'stop' }] }]

You can mix both as well:

result = client.chat_completions(
  { model: 'mistral-medium',
    stream: true,
    messages: [{ role: 'user', content: 'hi!' }] }
) do |event, parsed, raw|
  puts event
end

embeddings

result = client.embeddings(
  { model: 'mistral-embed',
    input: [
      'Embed this sentence.',
      'As well as this one.'
    ] }
)

Result:

{ 'id' => 'embd-03f43eaec35744a3bab6f2ca83418555',
  'object' => 'list',
  'data' =>
  [{ 'object' => 'embedding',
     'embedding' =>
     [-0.0165863037109375,
      0.07012939453125,
      # ...
      0.00428009033203125,
      -0.036895751953125],
     'index' => 0 },
   { 'object' => 'embedding',
     'embedding' =>
     [-0.0234222412109375,
      0.039337158203125,
      # ...
      0.00044846534729003906,
      -0.01065826416015625],
     'index' => 1 }],
  'model' => 'mistral-embed',
  'usage' => { 'prompt_tokens' => 15, 'total_tokens' => 15, 'completion_tokens' => 0 } }

models

result = client.models

Result:

{ 'object' => 'list',
  'data' =>
  [{ 'id' => 'mistral-medium',
     'object' => 'model',
     'created' => 1_703_855_983,
     'owned_by' => 'mistralai',
  
5D39
   'root' => nil,
     'parent' => nil,
     'permission' =>
     [{ 'id' => 'modelperm-30...',
        'object' => 'model_permission',
        'created' => 1_703_855_983,
        'allow_create_engine' => false,
        'allow_sampling' => true,
        'allow_logprobs' => false,
        'allow_search_indices' => false,
        'allow_view' => true,
        'allow_fine_tuning' => false,
        'organization' => '*',
        'group' => nil,
        'is_blocking' => false }] },
   { 'id' => 'mistral-small',
     'object' => 'model',
     'created' => 1_703_855_983,
     'owned_by' => 'mistralai',
     # ...
     },
   # ...
   ] }

Streaming and Server-Sent Events (SSE)

Server-Sent Events (SSE) is a technology that allows certain endpoints to offer streaming capabilities, such as creating the impression that "the model is typing along with you," rather than delivering the entire answer all at once.

You can set up the client to use Server-Sent Events (SSE) for all supported endpoints:

client = Mistral.new(
  credentials: { api_key: ENV['MISTRAL_API_KEY'] },
  options: { server_sent_events: true }
)

Or, you can decide on a request basis:

client.chat_completions(
  { model: 'mistral-medium',
    stream: true,
    messages: [{ role: 'user', content: 'hi!' }] },
  server_sent_events: true
) do |event, parsed, raw|
  puts event
end

With Server-Sent Events (SSE) enabled, you can use a block to receive partial results via events. This feature is particularly useful for methods that offer streaming capabilities, such as chat_completions: Receiving Stream Events

Server-Sent Events (SSE) Hang

Method calls will hang until the server-sent events finish, so even without providing a block, you can obtain the final results of the received events: Receiving Stream Events

System Messages

System messages influence how the model answers:

result = client.chat_completions(
  { model: 'mistral-medium',
    messages: [
      { role: 'system', content: 'Only answer strictly using JSON.' },
      { role: 'user', content: 'Calculate 1 + 1.' }
    ] }
)

Result:

{ 'id' => 'cmpl-0c6fee44022841728e435ac91416d211',
  'object' => 'chat.completion',
  'created' => 1_703_794_201,
  'model' => 'mistral-medium',
  'choices' => [{
    'index' => 0,
    'message' => { 'role' => 'assistant', 'content' => '{"result": 2}' },
    'finish_reason' => 'stop'
  }],
  'usage' => { 'prompt_tokens' => 24, 'total_tokens' => 30, 'completion_tokens' => 6 } }

Back-and-Forth Conversations

To maintain a back-and-forth conversation, you need to append the received responses and build a history for your requests:

result = client.chat_completions(
  { model: 'mistral-medium',
    messages: [
      { role: 'user',
        content: 'Hi! My name is Purple.' },
      { role: 'assistant',
        content: "Hello Purple! It's nice to meet you. How can I help you today?" },
      { role: 'user', content: "What's my name?" }
    ] }
)

Result:

{ 'id' => 'cmpl-cbc4a8db84b347738840e34e46388f1f',
  'object' => 'chat.completion',
  'created' => 1_703_793_492,
  'model' => 'mistral-medium',
  'choices' =>
  [{ 'index' => 0,
     'message' => {
       'role' => 'assistant',
       'content' => 'Your name is Purple, as you introduced yourself earlier. Is there anything else I can help you with?'
     },
     'finish_reason' => 'stop' }],
  'usage' => { 'prompt_tokens' => 49, 'total_tokens' => 71, 'completion_tokens' => 22 } }

New Functionalities and APIs

Mistral may launch a new endpoint that we haven't covered in the Gem yet. If that's the case, you may still be able to use it through the request method. For example, chat_completions is just a wrapper for v1/chat/completions, which you can call directly like this:

result = client.request(
  'v1/chat/completions',
  { model: 'mistral-medium',
    messages: [{ role: 'user', content: 'hi!' }] },
  request_method: 'POST', server_sent_events: true
)

Request Options

Adapter

The gem uses Faraday with the Typhoeus adapter by default.

You can use a different adapter if you want:

require 'faraday/net_http'

client = Mistral.new(
  credentials: { api_key: ENV['MISTRAL_API_KEY'] },
  options: { connection: { adapter: :net_http } }
)

Timeout

You can set the maximum number of seconds to wait for the request to complete with the timeout option:

client = Mistral.new(
  credentials: { api_key: ENV['MISTRAL_API_KEY'] },
  options: { connection: { request: { timeout: 5 } } }
)

You can also have more fine-grained control over Faraday's Request Options if you prefer:

client = Mistral.new(
  credentials: { api_key: ENV['MISTRAL_API_KEY'] },
  options: {
    connection: {
      request: {
        timeout: 5,
        open_timeout: 5,
        read_timeout: 5,
        write_timeout: 5
      }
    }
  }
)

Error Handling

Rescuing

require 'mistral-ai'

begin
  client.chat_completions(
    { model: 'mistral-medium',
      messages: [{ role: 'user', content: 'hi!' }] }
  )
rescue Mistral::Errors::MistralError => error
  puts error.class # Mistral::Errors::RequestError
  puts error.message # 'the server responded with status 500'

  puts error.payload
  # { model: 'mistral-medium',
  #   messages: [{ role: 'user', content: 'hi!' }] },
  #   ...
  # }

  puts error.request
  # #<Faraday::ServerError response={:status=>500, :headers...
end

For Short

require 'mistral-ai/errors'

begin
  client.chat_completions(
    { model: 'mistral-medium',
      messages: [{ role: 'user', content: 'hi!' }] }
  )
rescue MistralError => error
  puts error.class # Mistral::Errors::RequestError
end

Errors

MistralError

MissingAPIKeyError
BlockWithoutServerSentEventsError

RequestError

Development

bundle
rubocop -A

bundle exec ruby spec/tasks/run-client.rb

Purpose

This Gem is designed to provide low-level access to Mistral, enabling people to build abstractions on top of it. If you are interested in more high-level abstractions or more user-friendly tools, you may want to consider Nano Bots 💎 🤖.

Publish to RubyGems

gem build mistral-ai.gemspec

gem signin

gem push mistral-ai-1.2.0.gem

Updating the README

Install Babashka:

curl -s https://raw.githubusercontent.com/babashka/babashka/master/install | sudo bash

Update the template.md file and then:

bb tasks/generate-readme.clj

Trick for automatically updating the README.md when template.md changes:

sudo pacman -S inotify-tools # Arch / Manjaro
sudo apt-get install inotify-tools # Debian / Ubuntu / Raspberry Pi OS
sudo dnf install inotify-tools # Fedora / CentOS / RHEL

while inotifywait -e modify template.md; do bb tasks/generate-readme.clj; done

Trick for Markdown Live Preview:

pip install -U markdown_live_preview

mlp README.md -p 8076

Resources and References

These resources and references may be useful throughout your learning process.

Disclaimer

This is not an official Mistral project, nor is it affiliated with Mistral in any way.

This software is distributed under the MIT License. This license includes a disclaimer of warranty. Moreover, the authors assume no responsibility for any damage or costs that may result from using this project. Use the Mistral AI Ruby Gem at your own risk.

About

A Ruby gem for interacting with Mistral AI's large language models.

rubygems.org/gems/mistral-ai

Topics

ai mistral llm nano-bots mistral-api mistral-ai

Resources

Readme

License

MIT license
Activity

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26 stars

Watchers

1 watching

Forks

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Releases 5

Ruby Mistral AI 1.2.0 Latest
Feb 10, 2024
+ 4 releases

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