Class: Legion::LLM::API::ClientTranslators::OpenAIResponses
- Inherits:
-
Object
- Object
- Legion::LLM::API::ClientTranslators::OpenAIResponses
- Extended by:
- Legion::Logging::Helper
- Includes:
- SharedExtractors, Legion::Logging::Helper
- Defined in:
- lib/legion/llm/api/client_translators/openai_responses.rb
Overview
OpenAI /v1/responses (Responses API) client translator.
Per Phase 5:
- parse_request(body, env) -> Canonical::Request (handles
input/instructions/reasoning/tools shapes specific to /v1/responses)
- format_response(canonical_or_pipeline_response) -> Hash with output[]
containing {thinking, function_call, message} items
- format_error(error, status_code:, type:)
- events_emitter(out, ...) -> Events emitter conforming to the
StreamAssembler contract.
Defined Under Namespace
Classes: Events
Constant Summary collapse
- Canonical =
Legion::Extensions::Llm::Canonical
Instance Method Summary collapse
- #build_inference_request(canonical_request, request_id:, server_caller:, modality: nil) ⇒ Object
-
#build_tool_choice(raw) ⇒ Object
OpenAI Responses tool_choice shapes: “auto” / “none” / “required” → corresponding sym ‘function’, name: ‘X’ → ‘function’, name: ‘X’ ‘function’, function: {name:} → flatten to ‘function’, name: ‘X’.
-
#ensure_reasoning_summary(body) ⇒ Object
When the caller asks for reasoning (‘reasoning.effort` set) but didn’t pin a summary mode, default to ‘summary: ’auto’‘.
- #events_emitter(out, request_id:, model:, conv_id: nil) ⇒ Object
-
#format_chunk(canonical_chunk) ⇒ Object
Format a single Canonical::Chunk to a /v1/responses SSE event hash.
- #format_error(error, status_code: 500, type: 'server_error') ⇒ Object
- #format_response(pipeline_response, model:, request_id:) ⇒ Object
-
#format_tool_call_delta_chunk(canonical_chunk) ⇒ Object
G24 — server-executed tool chunks surface as completed function_call output items so the client sees the call name AND result inline.
-
#g24_format ⇒ Object
G24 — declares which execution-proxy contract shape this translator surfaces.
- #parse_request(body, env = {}) ⇒ Object
- #server_tool_chunk?(tool_call) ⇒ Boolean
Methods included from SharedExtractors
#args_as_json_string, #args_as_object, #extract_content_text, #extract_thinking_text, #legion_routing_explicit_from_env, #legion_routing_from_env, #text_content_type?, #token_value
Instance Method Details
#build_inference_request(canonical_request, request_id:, server_caller:, modality: nil) ⇒ Object
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# File 'lib/legion/llm/api/client_translators/openai_responses.rb', line 86 def build_inference_request(canonical_request, request_id:, server_caller:, modality: nil) tool_defs = build_tool_definitions(canonical_request.tools) extra = {} tier = canonical_request.[:tier] extra[:tier] = tier.to_sym if tier routing_explicit = canonical_request.[:routing_explicit] extra[:routing_explicit] = routing_explicit if routing_explicit = (canonical_request.) Legion::LLM::Inference::Request.build( id: request_id, messages: , system: canonical_request.system, routing: canonical_request.routing, tools: tool_defs, tool_choice: canonical_request.tool_choice, caller: server_caller, conversation_id: canonical_request.conversation_id, stream: canonical_request.stream == true, modality: modality, thinking: thinking_to_inference(canonical_request.thinking), cache: { strategy: :default, cacheable: true }, extra: extra, metadata: canonical_request..except(:upstream_body) ) end |
#build_tool_choice(raw) ⇒ Object
OpenAI Responses tool_choice shapes:
"auto" / "none" / "required" → corresponding sym
{type: 'function', name: 'X'} → {type: 'function', name: 'X'}
{type: 'function', function: {name:}} → flatten to {type: 'function', name: 'X'}
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# File 'lib/legion/llm/api/client_translators/openai_responses.rb', line 119 def build_tool_choice(raw) return nil if raw.nil? case raw when Hash symbolized = raw.transform_keys(&:to_sym) type = symbolized[:type].to_s if type == 'function' fn = symbolized[:function].is_a?(Hash) ? symbolized[:function].transform_keys(&:to_sym) : nil name = symbolized[:name] || fn&.[](:name) return { type: :function, name: name.to_s } if name symbolized else %w[auto none required any].include?(type) ? type.to_sym : symbolized end when String, Symbol raw.to_sym end end |
#ensure_reasoning_summary(body) ⇒ Object
When the caller asks for reasoning (‘reasoning.effort` set) but didn’t pin a summary mode, default to ‘summary: ’auto’‘. OpenAI’s /v1/responses lane omits reasoning summary content unless the request opts in — without this, codex→openai cells return only the message item (no reasoning), and the e2e validator reports “reasoning never produced” (P5-final-cells.md B3).
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# File 'lib/legion/llm/api/client_translators/openai_responses.rb', line 75 def ensure_reasoning_summary(body) reasoning = body[:reasoning] return body unless reasoning.is_a?(Hash) normalized = reasoning.transform_keys { |k| k.respond_to?(:to_sym) ? k.to_sym : k } return body.merge(reasoning: normalized) if normalized.key?(:summary) return body unless normalized[:effort] body.merge(reasoning: normalized.merge(summary: 'auto')) end |
#events_emitter(out, request_id:, model:, conv_id: nil) ⇒ Object
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# File 'lib/legion/llm/api/client_translators/openai_responses.rb', line 189 def events_emitter(out, request_id:, model:, conv_id: nil) Events.new(out: out, request_id: request_id, model: model.to_s, conv_id: conv_id) end |
#format_chunk(canonical_chunk) ⇒ Object
Format a single Canonical::Chunk to a /v1/responses SSE event hash.
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# File 'lib/legion/llm/api/client_translators/openai_responses.rb', line 194 def format_chunk(canonical_chunk) return nil if canonical_chunk.nil? case canonical_chunk.type when :text_delta { type: 'response.output_text.delta', delta: extract_content_text(canonical_chunk.delta), output_index: canonical_chunk.block_index || 0 } when :thinking_delta { type: 'response.thinking.delta', delta: canonical_chunk.delta.to_s, output_index: canonical_chunk.block_index || 0 } when :tool_call_delta format_tool_call_delta_chunk(canonical_chunk) when :done { type: 'response.completed' } end end |
#format_error(error, status_code: 500, type: 'server_error') ⇒ Object
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# File 'lib/legion/llm/api/client_translators/openai_responses.rb', line 185 def format_error(error, status_code: 500, type: 'server_error') [status_code, { error: { message: error.respond_to?(:message) ? error. : error.to_s, type: type } }] end |
#format_response(pipeline_response, model:, request_id:) ⇒ Object
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# File 'lib/legion/llm/api/client_translators/openai_responses.rb', line 140 def format_response(pipeline_response, model:, request_id:) routing = pipeline_response.respond_to?(:routing) ? pipeline_response.routing || {} : {} tokens = pipeline_response.respond_to?(:tokens) ? pipeline_response.tokens || {} : {} raw_msg = pipeline_response.respond_to?(:message) ? pipeline_response. : nil content = extract_content_text(raw_msg) resolved_model = (routing[:model] || routing['model'] || model).to_s actionable_tool_calls = build_output_tool_calls(pipeline_response) server_tool_items = build_output_server_tool_items(pipeline_response) reasoning = build_output_reasoning(pipeline_response) output = [ *reasoning, *server_tool_items, *actionable_tool_calls, { type: 'message', id: "msg_#{SecureRandom.hex(12)}", role: 'assistant', content: [{ type: 'output_text', text: content }], status: 'completed' } ] # G24 — server-executed tools are completed non-actionable items. # `requires_action` is reserved for client-callable tools awaiting # client execution. When ALL tool calls are server-resolved, the # response status is `completed` and there is no action_required. status = actionable_tool_calls.any? ? 'requires_action' : 'completed' result = { id: request_id, object: 'response', created_at: Time.now.to_i, model: resolved_model, output: output, usage: build_usage(tokens), status: status } result[:action_required] = { type: 'function_calls', function_calls: actionable_tool_calls } if actionable_tool_calls.any? result end |
#format_tool_call_delta_chunk(canonical_chunk) ⇒ Object
G24 — server-executed tool chunks surface as completed function_call output items so the client sees the call name AND result inline. Plain client-callable chunks remain plain function_call_arguments.delta events.
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# File 'lib/legion/llm/api/client_translators/openai_responses.rb', line 215 def format_tool_call_delta_chunk(canonical_chunk) tc = canonical_chunk.tool_call args = tc.respond_to?(:arguments) ? tc.arguments : {} output_index = canonical_chunk.block_index || 0 if server_tool_chunk?(tc) { type: 'response.output_item.done', output_index: output_index, item: { type: 'function_call', id: "fc_#{SecureRandom.hex(12)}", call_id: tc.respond_to?(:id) ? tc.id : nil, name: tc.respond_to?(:name) ? tc.name.to_s : '', arguments: args_as_json_string(args), status: 'completed' } } else { type: 'response.function_call_arguments.delta', output_index: output_index, delta: args_as_json_string(args) } end end |
#g24_format ⇒ Object
G24 — declares which execution-proxy contract shape this translator surfaces. Consumed by the lex-llm conformance shared examples.
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# File 'lib/legion/llm/api/client_translators/openai_responses.rb', line 34 def g24_format :openai_responses end |
#parse_request(body, env = {}) ⇒ Object
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# File 'lib/legion/llm/api/client_translators/openai_responses.rb', line 38 def parse_request(body, env = {}) log.debug('[llm][client_translator][openai_responses] action=parse_request') body = symbolize(body) = (body[:input], body[:instructions]) tools = build_tools(body[:tools]) params = build_params(body) thinking = build_thinking(body[:reasoning]) tool_choice = build_tool_choice(body[:tool_choice]) upstream_body = ensure_reasoning_summary(body) Canonical::Request.build( id: env['HTTP_X_CLIENT_REQUEST_ID'] || "resp_#{SecureRandom.hex(16)}", messages: , tools: tools, tool_choice: tool_choice, params: params, thinking: thinking, stream: body[:stream] == true, conversation_id: env['HTTP_X_LEGION_CONVERSATION_ID'] || env['HTTP_THREAD_ID'] || body[:conversation], routing: legion_routing_from_env(env), metadata: { client_model: body[:model], tier: env['HTTP_X_LEGION_TIER'], routing_explicit: legion_routing_explicit_from_env(env), external_refs: external_refs(body, env), upstream_body: upstream_body # preserved for native call_responses path until executor is canonical }.compact ) end |
#server_tool_chunk?(tool_call) ⇒ Boolean
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# File 'lib/legion/llm/api/client_translators/openai_responses.rb', line 240 def server_tool_chunk?(tool_call) source = tool_call.respond_to?(:source) ? tool_call.source : nil return false if source.nil? type = source.is_a?(Hash) ? (source[:type] || source['type']) : source %i[special registry extension mcp].include?(type&.to_sym) end |