Module: RubyLLM::Providers::OpenAIResponses::Streaming

Included in:
RubyLLM::Providers::OpenAIResponses
Defined in:
lib/ruby_llm/providers/openai_responses/streaming.rb

Overview

Streaming methods for the OpenAI Responses API. Handles SSE events with typed event format.

Class Method Summary collapse

Class Method Details

.build_chunk(data) ⇒ Object

rubocop:disable Metrics/AbcSize,Metrics/CyclomaticComplexity,Metrics/MethodLength



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# File 'lib/ruby_llm/providers/openai_responses/streaming.rb', line 15

def build_chunk(data) # rubocop:disable Metrics/AbcSize,Metrics/CyclomaticComplexity,Metrics/MethodLength
  event_type = data['type']

  case event_type
  when 'response.output_text.delta'
    # Text content delta
    Chunk.new(
      role: :assistant,
      content: data['delta'],
      model_id: data.dig('response', 'model')
    )

  when 'response.function_call_arguments.delta'
    # Function call arguments streaming
    Chunk.new(
      role: :assistant,
      content: nil,
      tool_calls: build_streaming_tool_call(data),
      model_id: data.dig('response', 'model')
    )

  when 'response.completed'
    # Final response with usage stats and any server-side built-in
    # tool activity (web_search_call, code_interpreter_call, etc.) that
    # the model executed. StreamAccumulatorExtension forwards
    # built_in_tool_events onto the assembled Message.
    response_data = data['response'] || {}
    usage = response_data['usage'] || {}
    cached_tokens = usage.dig('input_tokens_details', 'cached_tokens')
    built_in_events = BuiltInTools.extract_events(response_data['output'] || [])

    Chunk.new(
      role: :assistant,
      content: nil,
      input_tokens: usage['input_tokens'],
      output_tokens: usage['output_tokens'],
      cached_tokens: cached_tokens,
      cache_creation_tokens: 0,
      model_id: response_data['model'],
      response_id: response_data['id'],
      built_in_tool_events: built_in_events.empty? ? nil : built_in_events
    )

  when 'response.output_item.added'
    # New output item started (function call, message, etc.)
    item = data['item'] || {}
    if item['type'] == 'function_call'
      Chunk.new(
        role: :assistant,
        content: nil,
        tool_calls: {
          item['call_id'] => ToolCall.new(
            id: item['call_id'],
            name: item['name'],
            arguments: ''
          )
        }
      )
    else
      # Other item types - return empty chunk
      Chunk.new(role: :assistant, content: nil)
    end

  when 'response.content_part.added', 'response.content_part.done',
       'response.output_item.done', 'response.output_text.done',
       'response.function_call_arguments.done', 'response.created',
       'response.in_progress'
    # Status events - return empty chunk
    Chunk.new(role: :assistant, content: nil)

  when 'error'
    # Error event
    error_data = data['error'] || {}
    raise RubyLLM::Error.new(nil, error_data['message'] || 'Unknown streaming error')

  else
    # Unknown event type - return empty chunk
    Chunk.new(role: :assistant, content: nil)
  end
end

.build_streaming_tool_call(data) ⇒ Object 



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# File 'lib/ruby_llm/providers/openai_responses/streaming.rb', line 96

def build_streaming_tool_call(data)
  call_id = data['call_id'] || data['item_id']
  return nil unless call_id

  # Argument delta events don't carry a tool name — only the initial
  # output_item.added event does. Omit `id` on nameless deltas so
  # StreamAccumulator appends arguments to the latest tool call
  # instead of creating a new entry that overwrites the named one.
  {
    call_id => ToolCall.new(
      id: data['name'] ? call_id : nil,
      name: data['name'],
      arguments: data['delta'] || ''
    )
  }
end

.parse_streaming_error(data) ⇒ Object 



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# File 'lib/ruby_llm/providers/openai_responses/streaming.rb', line 113

def parse_streaming_error(data)
  error_data = JSON.parse(data)
  return unless error_data['error'] || error_data['type'] == 'error'

  error = error_data['error'] || error_data
  error_type = error['type'] || error['code']
  error_message = error['message']

  case error_type
  when 'server_error', 'internal_error'
    [500, error_message]
  when 'rate_limit_exceeded', 'insufficient_quota'
    [429, error_message]
  when 'invalid_request_error', 'invalid_api_key'
    [400, error_message]
  else
    [400, error_message]
  end
rescue JSON::ParserError
  [500, data]
end

.stream_url ⇒ Object 



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# File 'lib/ruby_llm/providers/openai_responses/streaming.rb', line 11

def stream_url
  'responses'
end