Module: Legion::LLM::API::Namespaces::OpenAI::Chat::Completions

Extended by:
Legion::Logging::Helper
Defined in:
lib/legion/llm/api/namespaces/openai/chat/completions.rb

Overview

Sinatra extension for /v1/chat/completions —parse → translate → execute → respond.

Class Method Summary collapse

Class Method Details

.gaia_ingest(messages, request_id, caller_identity) ⇒ Object

Optional GAIA ingestion for the last user message — preserved from the legacy route. The translator handles parsing; this is a sidecar enrichment that continues to live on the route since it depends on the GAIA singleton + identity helpers.



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# File 'lib/legion/llm/api/namespaces/openai/chat/completions.rb', line 168

def self.gaia_ingest(messages, request_id, caller_identity)
  return unless defined?(Legion::Gaia) && Legion::Gaia.respond_to?(:started?) && Legion::Gaia.started?

  last_user = Array(messages).select { |m| (m[:role] || m['role']).to_s == 'user' }.last
  prompt = (last_user || {})[:content] || (last_user || {})['content'] || ''
  return if prompt.to_s.empty?

  frame = Legion::Gaia::InputFrame.new(
    content:      prompt.to_s,
    channel_id:   :api,
    content_type: :text,
    auth_context: { identity: caller_identity },
    metadata:     { source_type: :human_direct, salience: 0.9 }
  )
  Legion::Gaia.ingest(frame)
  log.debug("[llm][api][namespaces][openai][chat] action=gaia_ingest request_id=#{request_id}")
rescue StandardError => e
  log.warn("[llm][api][namespaces][openai][chat] gaia_ingest failed: #{e.message}")
end

.registered(app) ⇒ Object 



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# File 'lib/legion/llm/api/namespaces/openai/chat/completions.rb', line 20

def self.registered(app)
  log.debug('[llm][api][namespaces][openai][chat] registering routes')

  app.post '/v1/chat/completions' do
    require_llm!
    request_started_at = ::Process.clock_gettime(::Process::CLOCK_MONOTONIC)
    body = parse_request_body

    unless body[:messages].is_a?(Array) && !body[:messages].empty?
      return openai_error('messages is required and must be a non-empty array',
                          type: 'invalid_request_error', code: nil, status_code: 400)
    end

    translator = Legion::LLM::API::ClientTranslators::OpenAIChat.new
    canonical_request = translator.parse_request(body, env)
    request_id = canonical_request.id
    model = body[:model] || Legion::Settings[:llm][:default_model] || 'default'
    streaming = canonical_request.stream
    include_reasoning = canonical_request.metadata[:include_reasoning] != false

    Completions.gaia_ingest(body[:messages], request_id, identity_canonical_name(env))

    inference_request = translator.build_inference_request(
      canonical_request,
      request_id:    request_id,
      server_caller: build_server_caller(
        source: 'openai_compat', path: request.path, env: env,
        caller_context: canonical_request.metadata[:caller_context]
      )
    )

    log.info('[llm][api][namespaces][openai][chat] action=accepted ' \
             "request_id=#{request_id} model=#{model} stream=#{streaming} " \
             "messages=#{canonical_request.messages.size} tools=#{canonical_request.tools.size}")

    executor = Legion::LLM::Inference::Executor.new(inference_request)

    canonical_format = Legion::LLM::API::DebugFormats.canonical_format?(env)
    echo_request = Legion::LLM::API::DebugFormats.echo_request?(env)

    if streaming
      content_type 'text/event-stream'
      headers 'Cache-Control' => 'no-cache', 'Connection' => 'keep-alive', 'X-Accel-Buffering' => 'no'
      stream do |out|
        emitter = if canonical_format
                    Legion::LLM::API::DebugFormats.canonical_event_emitter(out)
                  else
                    translator.events_emitter(
                      out, request_id: request_id, model: model,
                           include_reasoning: include_reasoning
                    )
                  end
        Legion::LLM::API::DebugFormats.emit_echo_request_sse(out, canonical_request) if echo_request

        assembler = Legion::LLM::API::StreamAssembler.new(
          emitter:    emitter,
          request_id: request_id,
          model:      model
        )
        pipeline_response = executor.call_stream { |c| assembler.push(c) }
        assembler.finalize(pipeline_response)
        log_api_completion_summary(
          namespace:         'namespaces][openai][chat',
          request_id:        request_id,
          pipeline_response: pipeline_response,
          stream:            true,
          started_at:        request_started_at
        )
      rescue Legion::LLM::API::StreamAssembler::StreamClosed
        # Client disconnected — caller treats as cancellation per G10.
      rescue IOError, Errno::EPIPE
        # Client disconnected mid-write before assembler caught it.
      rescue StandardError => e
        handle_exception(e, level: :error, handled: false,
                            operation: 'llm.api.namespaces.openai.chat.stream', request_id: request_id)
        out << "data: #{Legion::JSON.dump({ error: { message: e.message, type: 'server_error' } })}\n\n"
        out << "data: [DONE]\n\n"
      end
    else
      pipeline_response = executor.call
      log_api_completion_summary(
        namespace:         'namespaces][openai][chat',
        request_id:        request_id,
        pipeline_response: pipeline_response,
        stream:            false,
        started_at:        request_started_at
      )

      if canonical_format
        status_code, response_headers, body_string = Legion::LLM::API::DebugFormats.render_canonical_response(
          pipeline_response, canonical_request: canonical_request, env: env
        )
        status status_code
        response_headers.each { |k, v| headers k => v }
        body_string
      else
        response_body = translator.format_response(
          pipeline_response, model: model, request_id: request_id, include_reasoning: include_reasoning
        )
        response_body = Legion::LLM::API::DebugFormats.attach_echo_request(response_body, canonical_request) if echo_request
        content_type :json
        status 200
        Legion::JSON.dump(response_body)
      end
    end
  rescue Legion::LLM::AuthError => e
    handle_exception(e, level: :error, handled: true, operation: 'llm.api.namespaces.openai.chat.auth')
    openai_error(e.message, type: 'authentication_error', status_code: 401)
  rescue Legion::LLM::RateLimitError => e
    handle_exception(e, level: :warn, handled: true, operation: 'llm.api.namespaces.openai.chat.rate_limit')
    openai_error(e.message, type: 'rate_limit_error', code: 'rate_limit_exceeded', status_code: 429)
  rescue Legion::LLM::ProviderDown, Legion::LLM::ProviderError => e
    handle_exception(e, level: :error, handled: true, operation: 'llm.api.namespaces.openai.chat.provider')
    openai_error(e.message, type: 'server_error', status_code: 502)
  rescue StandardError => e
    handle_exception(e, level: :error, handled: false, operation: 'llm.api.namespaces.openai.chat')
    openai_error(e.message, type: 'server_error', status_code: 500)
  end

  app.get '/v1/chat/completions' do
    content_type :json
    Legion::JSON.dump({ object: 'list', data: [], has_more: false })
  end

  app.get '/v1/chat/completions/:id' do
    openai_error("Chat completion '#{params[:id]}' not found",
                 type: 'invalid_request_error', code: 'completion_not_found', status_code: 404)
  end

  app.post '/v1/chat/completions/:id' do
    openai_error("Chat completion '#{params[:id]}' not found",
                 type: 'invalid_request_error', code: 'completion_not_found', status_code: 404)
  end

  app.delete '/v1/chat/completions/:id' do
    content_type :json
    Legion::JSON.dump({ id: params[:id], object: 'chat.completion', deleted: true })
  end

  log.debug('[llm][api][namespaces][openai][chat] routes registered')
rescue StandardError => e
  handle_exception(e, level: :error, handled: false, operation: 'llm.api.namespaces.openai.chat.register')
end