Class: Boxcars::GeminiAi

Inherits:
Engine
  • Object
show all
Includes:
OpenAICompatibleChatHelpers, UnifiedObservability
Defined in:
lib/boxcars/engine/gemini_ai.rb

Overview

An engine that uses GeminiAI’s API via an OpenAI-compatible interface.

Constant Summary collapse

DEFAULT_PARAMS = 
{
  model: "gemini-2.5-flash",
  temperature: 0.1
}.freeze
DEFAULT_NAME = 
"GeminiAI engine"
DEFAULT_DESCRIPTION = 
"useful for when you need to use Gemini AI to answer questions. " \
"You should ask targeted questions"

Instance Attribute Summary collapse

Attributes inherited from Engine

#batch_size, #user_id

Class Method Summary collapse

Instance Method Summary collapse

Methods inherited from Engine

#add_usage_detail!, #aggregate_generate_usage!, #aggregate_token_usage_details!, #append_generate_choices!, #capabilities, #extract_answer, #generate, #generate_one, #generation_info, #get_num_tokens, #normalize_generate_response, #process_generate_prompt!, #process_generate_response!, #run, #supports?, #usage_nested_token_value, #usage_token_value, #validate_response!

Constructor Details

#initialize(name: DEFAULT_NAME, description: DEFAULT_DESCRIPTION, batch_size: 20, **kwargs) ⇒ GeminiAi

Returns a new instance of GeminiAi.

Raises:



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# File 'lib/boxcars/engine/gemini_ai.rb', line 21

def initialize(name: DEFAULT_NAME, description: DEFAULT_DESCRIPTION, batch_size: 20, **kwargs)
  raise ArgumentError, "unknown keyword: :prompts" if kwargs.key?(:prompts)

  user_id = kwargs.delete(:user_id)
  @llm_params = DEFAULT_PARAMS.merge(kwargs)
  super(description:, name:, batch_size:, user_id:)
end

Instance Attribute Details

#llm_params ⇒ Object (readonly)

Returns the value of attribute llm_params.



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# File 'lib/boxcars/engine/gemini_ai.rb', line 11

def llm_params
  @llm_params
end

Class Method Details

.provider_client(gemini_api_key: nil) ⇒ Object 



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# File 'lib/boxcars/engine/gemini_ai.rb', line 29

def self.provider_client(gemini_api_key: nil)
  access_token = Boxcars.configuration.gemini_api_key(gemini_api_key:)
  Boxcars::OpenAIClient.build(
    access_token: access_token,
    uri_base: "https://generativelanguage.googleapis.com/v1beta/"
  )
end

Instance Method Details

#client(prompt:, inputs: {}, gemini_api_key: nil, **kwargs) ⇒ Object 



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# File 'lib/boxcars/engine/gemini_ai.rb', line 37

def client(prompt:, inputs: {}, gemini_api_key: nil, **kwargs)
  start_time = Time.now
  response_data = { response_obj: nil, parsed_json: nil, success: false, error: nil, status_code: nil }
  current_params = @llm_params.merge(kwargs)
  api_request_params = nil
  current_prompt_object = prompt

  begin
    clnt = self.class.provider_client(gemini_api_key:)
    api_request_params = prepare_openai_compatible_chat_request(current_prompt_object, inputs, current_params)

    log_messages_debug(api_request_params[:messages]) if Boxcars.configuration.log_prompts && api_request_params[:messages]
    execute_openai_compatible_chat_call(
      client: clnt,
      api_request_params: api_request_params,
      response_data: response_data,
      success_check: ->(raw) { raw[:choices] || raw[:candidates] },
      unknown_error_message: "Unknown Gemini API Error",
      preserve_existing_error: false
    )
    normalize_gemini_response!(response_data)
  rescue StandardError => e
    handle_openai_compatible_standard_error(e, response_data)
  ensure
    duration_ms = ((Time.now - start_time) * 1000).round
    request_context = {
      prompt: current_prompt_object,
      inputs:,
      conversation_for_api: api_request_params&.dig(:messages) || [],
      user_id:
    }
    track_ai_generation(
      duration_ms:,
      current_params:,
      request_context:,
      response_data:,
      provider: :gemini
    )
  end

  raise response_data[:error] if response_data[:error]

  response_data[:parsed_json]
end

#default_params ⇒ Object 



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# File 'lib/boxcars/engine/gemini_ai.rb', line 82

def default_params
  @llm_params
end