Class: OxAiWorkers::Models::GeminiPro

Inherits:
LLMBase
  • Object
show all
Defined in:
lib/oxaiworkers/models/gemini_pro.rb

Instance Attribute Summary

Attributes inherited from LLMBase

#api_key, #frequency_penalty, #max_tokens, #model, #temperature, #uri_base

Instance Method Summary collapse

Methods inherited from LLMBase

#_parse_tool_calls

Constructor Details

#initialize(uri_base: nil, api_key: nil, model: nil, max_tokens: nil, temperature: nil, frequency_penalty: nil) ⇒ GeminiPro

Returns a new instance of GeminiPro.



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# File 'lib/oxaiworkers/models/gemini_pro.rb', line 6

def initialize(uri_base: nil, api_key: nil, model: nil, max_tokens: nil, temperature: nil, frequency_penalty: nil)
  @model = model || 'gemini-pro'
  @uri_base = uri_base # || 'https://api.anthropic.com/v1/'
  @api_key = api_key || OxAiWorkers.configuration.access_token_gemini
  super(uri_base: @uri_base, api_key: @api_key, model: @model, max_tokens:, temperature:, frequency_penalty:)
end

Instance Method Details

#add_base64(binary:, filename:, text:, mime_type:) ⇒ Object 



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# File 'lib/oxaiworkers/models/gemini_pro.rb', line 74

def add_base64(binary:, filename:, text:, mime_type:)
  content = []
  content << { type: 'text', text: } if text.present?
  content << {
                type: mime_type.include?('image') ? 'image' : 'document',
                source: {
                  type: 'base64',
                  media_type: mime_type,
                  data: Base64.strict_encode64(binary)
                }
              }
  content
end

#add_url(url:, text:, mime_type:) ⇒ Object 



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# File 'lib/oxaiworkers/models/gemini_pro.rb', line 88

def add_url(url:, text:, mime_type:)
  content = []
  content << { type: 'text', text: } if text.present?
  content << {
                type: mime_type.include?('image') ? 'image' : 'document',
                source: {
                  type: 'url',
                  url: url
                }
              }
  content
end

#build_parameters(messages:, tools: [], filtered_functions: [], tool_choice: nil) ⇒ Object 



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# File 'lib/oxaiworkers/models/gemini_pro.rb', line 27

def build_parameters(messages:, tools: [], filtered_functions: [], tool_choice: nil)
  parameters = {
    model: @model,
    system: messages.select { |m| m[:role] == :system }.map { |m| m[:content] }.join("\n\n"),
    messages: messages.reject { |m| m[:role] == :system },
    temperature: @temperature,
    max_tokens: @max_tokens
  }
  if tools.present?
    functions = tools.map(&:to_anthropic_format).flatten

    @names = functions.map { |f| f[:name] }

    parameters[:tools] = functions.reject { |f| filtered_functions.include?(f[:name]) }

    parameters[:tool_choice] =
      tool_choice.nil? ? { type: 'any' } : { type: 'tool', name: tool_choice }
  end
  parameters
end

#client ⇒ Object 



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# File 'lib/oxaiworkers/models/gemini_pro.rb', line 13

def client
  Gemini.new(
    credentials: {
      service: 'generative-language-api',
      api_key: ENV['GOOGLE_API_KEY']
    },
    options: { model: 'gemini-pro', server_sent_events: true }
  )
end

#parse_one_choice(choice) ⇒ Object 



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# File 'lib/oxaiworkers/models/gemini_pro.rb', line 112

def parse_one_choice(choice)
  return unless choice # Skip if there's no choice

  # Initialize result variables
  @result = nil
  @tool_calls = []

  # Process content item
  if choice['type'] == 'tool_use'
    # Handle tool use
    begin
      # Attempt to parse arguments, handle potential JSON errors
      args = JSON.parse(choice['input'].to_json, symbolize_names: true)
    rescue JSON::ParserError => e
      OxAiWorkers.logger.error("Failed to parse tool call arguments: #{e.message}", for: self.class)
      OxAiWorkers.logger.debug("Raw arguments: #{choice['input']}", for: self.class)
    end

    fname = @names.find { |n| n.end_with?(choice['name']) }
    if fname != choice['name']
      OxAiWorkers.logger.error("Tool call name #{choice['name']} not found. Using #{fname} instead.",
                               for: self.class)
    end

    tool_call = {
      class: fname.split('__').first,
      name: fname.split('__').last,
      args:
    }
    @tool_calls << tool_call
  elsif choice['type'] == 'text'
    # Handle text content
    @result = choice['text']
  end

  [@result, @tool_calls]
end

#parse_response(response) ⇒ Object 



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# File 'lib/oxaiworkers/models/gemini_pro.rb', line 101

def parse_response(response, &)
  choices = response['content']
  @is_truncated = (response['stop_reason'] == 'max_tokens')
  return if choices.nil? || choices.empty?

  choices.each do |choice|
    result, tool_calls = parse_one_choice(choice)
    yield(result, @is_truncated, tool_calls)
  end
end

#request(parameters) ⇒ Object 



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# File 'lib/oxaiworkers/models/gemini_pro.rb', line 23

def request(parameters)
  client.messages(parameters:)
end

#tool_call(name:, args:, call_id:, out:) ⇒ Object 



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# File 'lib/oxaiworkers/models/gemini_pro.rb', line 48

def tool_call(name:, args:, call_id:, out:)
  [
    {
      role: :assistant,
      content: [
        {
          type: 'tool_use',
          id: "call_#{call_id}",
          name:,
          input: args
        }
      ]
    },
    {
      role: :user,
      content: [
        {
          type: 'tool_result',
          tool_use_id: "call_#{call_id}",
          content: out.present? ? out : "Tool call #{name} successful."
        }
      ]
    }
  ]
end