Class: RSmolagent::OpenAIProvider

Inherits:
LLMProvider show all
Defined in:
lib/rsmolagent/llm_provider.rb

Instance Attribute Summary

Attributes inherited from LLMProvider

#last_completion_tokens, #last_prompt_tokens

Instance Method Summary collapse

Methods inherited from LLMProvider

#parse_json_if_needed

Constructor Details

#initialize(model_id:, client:, **options) ⇒ OpenAIProvider

Returns a new instance of OpenAIProvider.



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# File 'lib/rsmolagent/llm_provider.rb', line 32

def initialize(model_id:, client:, **options)
  super(model_id: model_id, **options)
  @client = client
  @max_retries = options[:max_retries] || 3
  @initial_backoff = options[:initial_backoff] || 1
end

Instance Method Details

#chat(messages, tools: nil, tool_choice: nil) ⇒ Object 



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# File 'lib/rsmolagent/llm_provider.rb', line 39

def chat(messages, tools: nil, tool_choice: nil)
  params = {
    model: @model_id,
    messages: messages,
    temperature: @options[:temperature] || 0.7,
  }

  # Add tools if provided
  if tools && !tools.empty?
    params[:tools] = tools.map(&:to_json_schema)
    params[:tool_choice] = tool_choice || "auto"
  end

  retries = 0
  begin
    response = @client.chat(parameters: params)
    
    # Update token counts
    @last_prompt_tokens = response.usage.prompt_tokens
    @last_completion_tokens = response.usage.completion_tokens
    
    response.choices.first.message
  rescue Faraday::TooManyRequestsError => e
    retries += 1
    if retries <= @max_retries
      # Exponential backoff with jitter
      sleep_time = @initial_backoff * (2 ** (retries - 1)) * (0.5 + rand)
      puts "Rate limited (429). Retrying in #{sleep_time.round(1)} seconds... (#{retries}/#{@max_retries})"
      sleep(sleep_time)
      retry
    else
      puts "Max retries (#{@max_retries}) exceeded. Rate limit error persists."
      raise e
    end
  end
end

#extract_tool_calls(response) ⇒ Object 



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# File 'lib/rsmolagent/llm_provider.rb', line 76

def extract_tool_calls(response)
  return [] unless response.tool_calls
  
  response.tool_calls.map do |tool_call|
    {
      name: tool_call.function.name,
      arguments: parse_json_if_needed(tool_call.function.arguments)
    }
  end
end