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

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

Class Method Summary collapse

Class Method Details

.extract_token(tokens, key) ⇒ Object 



99
100
101
102
103
104
105
106
107
108
109
110
111
 
# File 'lib/legion/llm/api/namespaces/openai/completions.rb', line 99

def self.extract_token(tokens, key)
  return 0 if tokens.nil?

  if tokens.is_a?(Hash)
    v = tokens[key] || tokens[key.to_s]
    return v.to_i unless v.nil?
  end

  method_name = { input_tokens: :input_tokens, output_tokens: :output_tokens }[key]
  return tokens.public_send(method_name).to_i if method_name && tokens.respond_to?(method_name)

  0
end

.registered(app) ⇒ Object 



15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
 
# File 'lib/legion/llm/api/namespaces/openai/completions.rb', line 15

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

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

    if prompt.nil? || (prompt.respond_to?(:empty?) && prompt.empty?)
      return openai_error('prompt is required', type: 'invalid_request_error',
                                              code: nil, status_code: 400)
    end

    request_id = SecureRandom.uuid
    # SSOT v3: an omitted body model is an empty constraint the router
    # resolves — never a configured/global default injected at the route.
    model      = body[:model]
    messages   = [{ role: 'user', content: prompt.to_s }]

    log.info("[llm][api][namespaces][openai][completions] action=accepted request_id=#{request_id} model=#{model || 'auto'}")

    inference_request = Legion::LLM::Inference::Request.build(
      id:       request_id,
      messages: messages,
      routing:  (model ? { model: model } : {}),
      tools:    [],
      caller:   build_server_caller(source: 'openai_completions', path: request.path, env: env),
      stream:   false,
      cache:    { strategy: :default, cacheable: true }
    )
    pipeline_response = Legion::LLM::Inference::Executor.new(inference_request).call

    routing        = pipeline_response.routing || {}
    tokens         = pipeline_response.tokens  || {}
    raw_msg        = pipeline_response.message
    text           = raw_msg.is_a?(Hash) ? (raw_msg[:content] || raw_msg['content']).to_s : raw_msg.to_s
    resolved_model = (routing[:model] || routing['model'] || model).to_s
    input_tokens  = Completions.extract_token(tokens, :input_tokens)
    output_tokens = Completions.extract_token(tokens, :output_tokens)

    log_api_completion_summary(
      namespace:         'namespaces][openai][completions',
      request_id:        request_id,
      pipeline_response: pipeline_response,
      stream:            false,
      started_at:        request_started_at,
      tool_calls:        [],
      stop_reason:       'stop'
    )
    content_type :json
    status 200
    Legion::JSON.dump({
                        id:      "cmpl-#{request_id.delete('-')}",
                        object:  'text_completion',
                        created: Time.now.to_i,
                        model:   resolved_model,
                        choices: [{ text: text, index: 0, finish_reason: 'stop' }],
                        usage:   {
                          prompt_tokens:     input_tokens,
                          completion_tokens: output_tokens,
                          total_tokens:      input_tokens.to_i + output_tokens.to_i
                        }
                      })
  rescue Legion::LLM::AuthError => e
    handle_exception(e, level: :error, handled: true, operation: 'llm.api.namespaces.openai.completions.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.completions.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.completions.provider')
    openai_error(e.message, type: 'server_error', status_code: 502)
  rescue Legion::LLM::Errors::RoutingRejected => e
    translate_routing_rejected(e, dialect: :openai, operation: 'llm.api.namespaces.openai.completions.routing_rejected')
  rescue StandardError => e
    handle_exception(e, level: :error, handled: false, operation: 'llm.api.namespaces.openai.completions')
    openai_error(e.message, type: 'server_error', status_code: 500)
  end
  log.debug('[llm][api][namespaces][openai][completions] routes registered')
rescue StandardError => e
  handle_exception(e, level: :error, handled: false, operation: 'llm.api.namespaces.openai.completions.register')
end