Class: LLM::Mistral

Inherits:
OpenAI show all
Includes:
Mistral::RequestAdapter
Defined in:
lib/llm/providers/mistral.rb,
lib/llm/providers/mistral/request_adapter.rb

Overview

The Mistral class implements a provider for Mistral through its OpenAI-compatible API.

Examples:

#!/usr/bin/env ruby
require "llm"

llm = LLM.mistral(key: ENV["KEY"])
ctx = LLM::Context.new(llm)
ctx.talk "Hello"
ctx.messages.select(&:assistant?).each { print "[#{_1.role}]", _1.content, "\n" }

Defined Under Namespace

Modules: RequestAdapter

Constant Summary collapse

HOST = 
"api.mistral.ai"
BASE_PATH = 
"/v1/"

Instance Method Summary collapse

Methods inherited from OpenAI

#assistant_role, #complete, #models, #server_tools, #web_search

Methods included from OpenAI::RequestAdapter

#adapt

Methods inherited from Provider

#assistant_role, #chat, #complete, #developer_role, #inspect, #interrupt!, #key?, #models, #request_owner, #respond, #schema, #server_tool, #server_tools, #system_role, #tool_role, #tracer, #tracer=, #user_role, #web_search, #with, #with_tracer

Constructor Details

#initialize(host: HOST, base_path: BASE_PATH) ⇒ LLM::Mistral

Parameters:

  • key (String, nil) —

    The secret key for authentication

  • host (String) (defaults to: HOST) —

    The host address of the LLM provider

  • base_path (String) (defaults to: BASE_PATH) —

    Optional base path prefix for HTTP API routes.



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# File 'lib/llm/providers/mistral.rb', line 31

def initialize(host: HOST, base_path: BASE_PATH, **)
  super
end

Instance Method Details

#audio ⇒ LLM::Mistral::Audio

Returns:

Raises:

  • (NotImplementedError) 


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# File 'lib/llm/providers/mistral.rb', line 93

def audio
  raise NotImplementedError
end

#default_model ⇒ String

Returns the default model for chat completions

Returns:

  • (String) 


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# File 'lib/llm/providers/mistral.rb', line 118

def default_model
  "mistral-large-latest"
end

#embed(input, model: "mistral-embed", **params) ⇒ LLM::Response

Provides an embedding.

Parameters:

  • input (String, Array<String>) —

    The input to embed

  • model (String) (defaults to: "mistral-embed") —

    The embedding model to use

  • params (Hash) —

    Other embedding parameters

Returns:



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# File 'lib/llm/providers/mistral.rb', line 55

def embed(input, model: "mistral-embed", **params)
  super
end

#files ⇒ Object

Raises:

  • (NotImplementedError) 


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# File 'lib/llm/providers/mistral.rb', line 99

def files
  raise NotImplementedError
end

#images ⇒ NotImplementedError

Returns:

  • (NotImplementedError)

Raises:

  • (NotImplementedError) 


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# File 'lib/llm/providers/mistral.rb', line 44

def images
  raise NotImplementedError
end

#moderations ⇒ Object

Raises:

  • (NotImplementedError) 


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# File 'lib/llm/providers/mistral.rb', line 105

def moderations
  raise NotImplementedError
end

#name ⇒ Symbol

Returns the provider's name

Returns:

  • (Symbol) —

    Returns the provider's name



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# File 'lib/llm/providers/mistral.rb', line 38

def name
  :mistral
end

#ocr(image_url: nil, document_url: nil, model: "mistral-ocr-latest", **params) ⇒ LLM::Response

Runs OCR on a remote image or document URL.

Parameters:

  • image_url (String, nil) (defaults to: nil) —

    A remote HTTP(S) URL to the image

  • document_url (String, nil) (defaults to: nil) —

    A remote HTTP(S) URL to the document

  • model (String) (defaults to: "mistral-ocr-latest") —

    The OCR model to use

  • params (Hash) —

    Additional OCR parameters

Returns:

See Also:



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# File 'lib/llm/providers/mistral.rb', line 72

def ocr(image_url: nil, document_url: nil, model: "mistral-ocr-latest", **params)
  if [image_url, document_url].all?(&:nil?)
    raise ArgumentError, "must provide one of: image_url, document_url"
  elsif [image_url, document_url].compact.size > 1
    raise ArgumentError, "must provide one of: image_url, document_url"
  end
  document = parse_document(image_url, document_url)
  req = LLM::Transport::Request.post("/v1/ocr", headers)
  req.body = LLM.json.dump({model:, document:}.merge!(params))
  res, = execute(request: req, operation: "ocr", model:)
  LLM::Response.new(res)
end

#responses ⇒ Object

Raises:

  • (NotImplementedError) 


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# File 'lib/llm/providers/mistral.rb', line 87

def responses
  raise NotImplementedError
end

#vector_stores ⇒ Object

Raises:

  • (NotImplementedError) 


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# File 'lib/llm/providers/mistral.rb', line 111

def vector_stores
  raise NotImplementedError
end