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

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

Class Method Summary collapse

Class Method Details

.append_usage_stats(done_chunk, pipeline_response, include_reasoning) ⇒ Object 



233
234
235
236
237
238
239
240
241
242
243
244
245
 
# File 'lib/legion/llm/api/namespaces/openai/chat/completions.rb', line 233

def self.append_usage_stats(done_chunk, pipeline_response, include_reasoning)
  return unless include_reasoning

  tokens = pipeline_response.tokens || {}
  oai = Legion::LLM::API::Translators::OpenAIResponse
  input_count = oai.extract_token_count(tokens, :input).to_i
  output_count = oai.extract_token_count(tokens, :output).to_i
  done_chunk[:usage] = {
    prompt_tokens:     input_count,
    completion_tokens: output_count,
    total_tokens:      input_count + output_count
  }
end

.build_inference_request(request_id:, normalized:, model:, tool_declarations:, caller:, streaming:, ext:) ⇒ Object 



175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
 
# File 'lib/legion/llm/api/namespaces/openai/chat/completions.rb', line 175

def self.build_inference_request(request_id:, normalized:, model:, tool_declarations:, caller:, streaming:, ext:)
  extra = {}
  extra[:tier] = ext[:tier].to_sym if ext[:tier]
  extra[:cwd] = ext[:cwd] if ext[:cwd]

  metadata = { requested_tools: ext[:requested_tools] }
  metadata[:client_tool_passthrough] = ext[:client_tool_passthrough] unless ext[:client_tool_passthrough].nil?
  metadata[:client_tool_request_count] = normalized[:tools]&.size if normalized[:tools]&.any?

  Legion::LLM::Inference::Request.build(
    id:              request_id,
    messages:        normalized[:messages],
    system:          normalized[:system],
    routing:         { provider: ext[:provider], model: model, instance: ext[:instance] }.compact,
    tools:           tool_declarations,
    caller:          caller,
    conversation_id: ext[:conversation_id],
    metadata:        metadata.compact,
    stream:          streaming,
    cache:           { strategy: :default, cacheable: true },
    extra:           extra.empty? ? {} : extra
  )
end

.build_tool_declarations(tools) ⇒ Object 



199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
 
# File 'lib/legion/llm/api/namespaces/openai/chat/completions.rb', line 199

def self.build_tool_declarations(tools)
  return [] unless tools.is_a?(Array) && !tools.empty?

  tools.filter_map do |tool|
    t = nil
    t = tool.respond_to?(:transform_keys) ? tool.transform_keys(&:to_sym) : tool
    next unless t[:name].to_s.length.positive?

    Legion::LLM::Types::ToolDefinition.build(
      name:        t[:name].to_s,
      description: t[:description].to_s,
      parameters:  t[:parameters] || {},
      source:      { type: :client, executable: true }
    )
  rescue StandardError => e
    tool_name = t.is_a?(Hash) ? t[:name] : nil
    log.warn("[llm][api][namespaces][openai][chat] build_tool failed name=#{tool_name} error=#{e.message}")
    nil
  end
end

.emit_reasoning_delta(out, chunk, model, request_id, include_reasoning) ⇒ Object 



220
221
222
223
224
225
226
227
228
229
230
231
 
# File 'lib/legion/llm/api/namespaces/openai/chat/completions.rb', line 220

def self.emit_reasoning_delta(out, chunk, model, request_id, include_reasoning)
  return unless include_reasoning && chunk.respond_to?(:thinking)

  thinking_text = extract_thinking_text(chunk.thinking)
  return if thinking_text.empty?

  reasoning_chunk = Legion::LLM::API::Translators::OpenAIResponse.format_stream_delta_chunk(
    { reasoning_content: thinking_text },
    model: model, request_id: request_id
  )
  out << "data: #{Legion::JSON.dump(reasoning_chunk)}\n\n"
end

.extract_extended_fields(body, env) ⇒ Object 



156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
 
# File 'lib/legion/llm/api/namespaces/openai/chat/completions.rb', line 156

def self.extract_extended_fields(body, env)
  ctp = if env.key?('HTTP_X_LEGION_CLIENT_TOOL_PASSTHROUGH')
          env['HTTP_X_LEGION_CLIENT_TOOL_PASSTHROUGH'] == 'true'
        elsif [true, false].include?(body[:client_tool_passthrough])
          body[:client_tool_passthrough]
        end

  {
    conversation_id:         env['HTTP_X_LEGION_CONVERSATION_ID'] || body[:conversation_id],
    provider:                env['HTTP_X_LEGION_PROVIDER'] || body[:provider],
    tier:                    env['HTTP_X_LEGION_TIER'] || body[:tier],
    instance:                env['HTTP_X_LEGION_INSTANCE'] || body[:instance],
    cwd:                     env['HTTP_X_LEGION_CWD'] || body[:cwd],
    requested_tools:         body[:requested_tools] || [],
    client_tool_passthrough: ctp,
    caller_context:          body[:caller]
  }
end

.extract_thinking_text(value) ⇒ Object 



267
268
269
270
271
272
273
274
275
276
277
278
279
280
 
# File 'lib/legion/llm/api/namespaces/openai/chat/completions.rb', line 267

def self.extract_thinking_text(value)
  return '' if value.nil?
  return value.to_s if value.is_a?(String)

  if value.is_a?(Hash)
    text = value[:content] || value['content'] || value[:text] || value['text']
    return text.to_s if text
  end

  return value.content.to_s if value.respond_to?(:content) && value.content
  return value.text.to_s if value.respond_to?(:text) && value.text

  value.to_s
end

.gaia_ingest(messages, request_id, caller_identity) ⇒ Object 



247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
 
# File 'lib/legion/llm/api/namespaces/openai/chat/completions.rb', line 247

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

rubocop:disable Metrics/AbcSize,Metrics/MethodLength



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
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
 
# File 'lib/legion/llm/api/namespaces/openai/chat/completions.rb', line 19

def self.registered(app) # rubocop:disable Metrics/AbcSize,Metrics/MethodLength
  log.debug('[llm][api][namespaces][openai][chat] registering routes')

  # rubocop:disable Metrics/BlockLength
  app.post '/v1/chat/completions' do
    require_llm!
    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

    request_id = body[:request_id] || SecureRandom.uuid
    normalized = Legion::LLM::API::Translators::OpenAIRequest.normalize(body)
    model      = normalized[:model] || Legion::LLM::Settings.value(:default_model) || 'default'
    streaming  = normalized[:stream] == true
    include_reasoning = body[:include_reasoning] == true || body[:include_thinking] == true
    tool_decls = Completions.build_tool_declarations(normalized[:tools])

    ext = Completions.extract_extended_fields(body, env)

    msg_count = normalized[:messages].size
    msg_chars = normalized[:messages].sum { |m| m[:content].to_s.length }
    log.info('[llm][api][namespaces][openai][chat] action=accepted ' \
             "request_id=#{request_id} model=#{model} stream=#{streaming} " \
             "messages=#{msg_count} chars=#{msg_chars} tools=#{tool_decls.size} " \
             "conversation_id=#{ext[:conversation_id] || 'none'} tier=#{ext[:tier] || 'auto'}")

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

    effective_caller = build_server_caller(
      source: 'openai_compat', path: request.path, env: env,
      caller_context: ext[:caller_context]
    )

    inference_request = Completions.build_inference_request(
      request_id: request_id, normalized: normalized, model: model,
      tool_declarations: tool_decls, caller: effective_caller,
      streaming: streaming, ext: ext
    )
    executor = Legion::LLM::Inference::Executor.new(inference_request)

    if streaming
      content_type 'text/event-stream'
      headers 'Cache-Control' => 'no-cache', 'Connection' => 'keep-alive', 'X-Accel-Buffering' => 'no'
      stream do |out|
        pipeline_response = executor.call_stream do |chunk|
          Completions.emit_reasoning_delta(out, chunk, model, request_id, include_reasoning)
          text = chunk.respond_to?(:content) ? chunk.content.to_s : chunk.to_s
          next if text.empty?

          chunk_obj = Legion::LLM::API::Translators::OpenAIResponse.format_stream_chunk(
            text, model: model, request_id: request_id
          )
          out << "data: #{Legion::JSON.dump(chunk_obj)}\n\n"
        end

        routing     = pipeline_response.routing || {}
        final_model = (routing[:model] || routing['model'] || model).to_s
        tool_calls  = Legion::LLM::API::Translators::OpenAIResponse.build_tool_calls(pipeline_response)

        tool_calls.each_with_index do |tc, idx|
          tc_chunk = Legion::LLM::API::Translators::OpenAIResponse.format_stream_tool_call_chunk(
            tc, model: final_model, request_id: request_id, index: idx
          )
          out << "data: #{Legion::JSON.dump(tc_chunk)}\n\n"
        end

        done_chunk = Legion::LLM::API::Translators::OpenAIResponse.format_stream_chunk(
          nil, model: final_model, request_id: request_id,
          finish_reason: tool_calls.empty? ? 'stop' : 'tool_calls'
        )
        Completions.append_usage_stats(done_chunk, pipeline_response, include_reasoning)
        out << "data: #{Legion::JSON.dump(done_chunk)}\n\n"
        out << "data: [DONE]\n\n"
        log.info('[llm][api][namespaces][openai][chat] action=stream_complete ' \
                 "request_id=#{request_id} model=#{final_model} " \
                 "tool_calls=#{tool_calls.size} finish_reason=#{tool_calls.empty? ? 'stop' : 'tool_calls'}")
      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
      response_body = Legion::LLM::API::Translators::OpenAIResponse.format_chat_completion(
        pipeline_response, model: model, request_id: request_id,
        include_reasoning: include_reasoning
      )
      log.info("[llm][api][namespaces][openai][chat] action=complete request_id=#{request_id} " \
               "model=#{response_body[:model]}")
      content_type :json
      status 200
      Legion::JSON.dump(response_body)
    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
  # rubocop:enable Metrics/BlockLength

  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