{"version":3,"file":"ws-realtime.cjs","names":["generateToolCallId","DEFAULT_TEST_ID","matchFixtureDiagnostic","resolveStrictMode","strictNoMatchMessage","strictNoMatchLogLine","flattenHeaders","strictOverrideField","resolveResponse","isErrorResponse","isContentWithToolCallsResponse","createInterruptionSignal","calculateDelay","delay","isTextResponse","isToolCallResponse"],"sources":["../src/ws-realtime.ts"],"sourcesContent":["/**\n * WebSocket handler for OpenAI Realtime API.\n *\n * Accepts Realtime API messages (session.update, conversation.item.create,\n * response.create) over WebSocket and sends back Realtime API events as\n * individual WebSocket text frames.\n */\n\nimport { randomBytes } from \"node:crypto\";\nimport type { ChatCompletionRequest, ChatMessage, Fixture } from \"./types.js\";\nimport { matchFixtureDiagnostic } from \"./router.js\";\nimport {\n generateToolCallId,\n flattenHeaders,\n isTextResponse,\n isToolCallResponse,\n isContentWithToolCallsResponse,\n isErrorResponse,\n resolveResponse,\n resolveStrictMode,\n strictOverrideField,\n strictNoMatchMessage,\n strictNoMatchLogLine,\n} from \"./helpers.js\";\nimport { createInterruptionSignal } from \"./interruption.js\";\nimport { delay, calculateDelay } from \"./sse-writer.js\";\nimport { DEFAULT_TEST_ID, type Journal } from \"./journal.js\";\nimport type { Logger } from \"./logger.js\";\nimport type { WebSocketConnection } from \"./ws-framing.js\";\n\n/** Generate a Realtime-API-style ID with underscore separator (e.g. event_xxx, item_xxx). */\nfunction realtimeId(prefix: string): string {\n return `${prefix}_${randomBytes(12).toString(\"base64url\")}`;\n}\n\n// ─── Realtime protocol types ────────────────────────────────────────────────\n\ninterface RealtimeItem {\n type: \"message\" | \"function_call\" | \"function_call_output\";\n id?: string;\n role?: \"user\" | \"assistant\" | \"system\";\n content?: Array<{ type: string; text?: string; url?: string; transcript?: string | null }>;\n name?: string;\n call_id?: string;\n arguments?: string;\n output?: string;\n}\n\ninterface SessionConfig {\n model: string;\n modalities: string[];\n instructions: string;\n tools: unknown[];\n voice: string | null;\n input_audio_format: string | null;\n output_audio_format: string | null;\n input_audio_noise_reduction: { type: string } | null;\n input_audio_transcription: { model: string } | null;\n turn_detection: unknown | null;\n temperature: number;\n type: \"conversation\" | \"transcription\" | \"translation\";\n reasoning: { effort: string } | null;\n}\n\ninterface RealtimeMessage {\n type: string;\n event_id?: string;\n session?: Partial;\n item?: RealtimeItem;\n response?: {\n modalities?: string[];\n instructions?: string;\n [key: string]: unknown;\n };\n}\n\n// ─── Conversion helpers ─────────────────────────────────────────────────────\n\nexport function realtimeItemsToMessages(\n items: RealtimeItem[],\n instructions?: string,\n logger?: Logger,\n): ChatMessage[] {\n const messages: ChatMessage[] = [];\n\n if (instructions) {\n messages.push({ role: \"system\", content: instructions });\n }\n\n for (const item of items) {\n if (item.type === \"message\") {\n const role =\n item.role === \"assistant\" ? \"assistant\" : item.role === \"system\" ? \"system\" : \"user\";\n\n // Check if content contains multimodal input types (input_text, input_image, input_audio)\n const hasMultimodal = item.content?.some(\n (p) => p.type === \"input_text\" || p.type === \"input_image\" || p.type === \"input_audio\",\n );\n\n if (hasMultimodal && item.content) {\n // Map realtime input content types to ChatMessage content parts\n const mappedContent = item.content.map((part) => {\n if (part.type === \"input_text\") {\n return { type: \"text\" as const, text: part.text ?? \"\" };\n }\n if (part.type === \"input_image\") {\n return {\n type: \"image_url\" as const,\n image_url: { url: part.url ?? \"\" },\n };\n }\n if (part.type === \"input_audio\") {\n return { type: \"text\" as const, text: \"[audio input]\" };\n }\n // Pass through unknown content types as-is\n return part;\n });\n messages.push({ role, content: mappedContent });\n } else {\n // Join all text content parts (not just the first)\n const text =\n item.content\n ?.map((c) => c.text)\n .filter(Boolean)\n .join(\"\") ?? \"\";\n messages.push({ role, content: text });\n }\n } else if (item.type === \"function_call\") {\n if (!item.name) {\n logger?.warn(\"Realtime function_call item missing 'name'\");\n }\n messages.push({\n role: \"assistant\",\n content: null,\n tool_calls: [\n {\n id: item.call_id ?? generateToolCallId(),\n type: \"function\",\n function: {\n name: item.name ?? \"\",\n arguments: item.arguments ?? \"\",\n },\n },\n ],\n });\n } else if (item.type === \"function_call_output\") {\n if (!item.output) {\n logger?.warn(\"Realtime function_call_output item missing 'output'\");\n }\n messages.push({\n role: \"tool\",\n content: item.output ?? \"\",\n tool_call_id: item.call_id,\n });\n }\n }\n\n return messages;\n}\n\n// ─── GA -> Beta translation ─────────────────────────────────────────────────\n\n/** GA -> Beta event name mapping */\nconst GA_TO_BETA_EVENT: Record = {\n \"response.output_text.delta\": \"response.text.delta\",\n \"response.output_text.done\": \"response.text.done\",\n \"response.output_audio.delta\": \"response.audio.delta\",\n \"response.output_audio.done\": \"response.audio.done\",\n \"response.output_audio_transcript.delta\": \"response.audio_transcript.delta\",\n \"response.output_audio_transcript.done\": \"response.audio_transcript.done\",\n \"conversation.item.added\": \"conversation.item.created\",\n};\n\n/** GA -> Beta content type mapping */\nconst GA_TO_BETA_CONTENT_TYPE: Record = {\n output_text: \"text\",\n output_audio: \"audio\",\n};\n\n/** Events suppressed in Beta mode (GA-only events) */\nconst BETA_SUPPRESSED_EVENTS = new Set([\"conversation.item.done\"]);\n\nfunction translateGAToBeta(event: Record): Record | null {\n const type = event.type as string;\n if (BETA_SUPPRESSED_EVENTS.has(type)) return null;\n\n const translated = { ...event };\n if (GA_TO_BETA_EVENT[type]) {\n translated.type = GA_TO_BETA_EVENT[type];\n }\n\n // Translate content types in nested structures\n if (translated.part && typeof translated.part === \"object\") {\n const part = { ...(translated.part as Record) };\n if (typeof part.type === \"string\" && GA_TO_BETA_CONTENT_TYPE[part.type]) {\n part.type = GA_TO_BETA_CONTENT_TYPE[part.type];\n }\n translated.part = part;\n }\n if (translated.content_part && typeof translated.content_part === \"object\") {\n const cp = { ...(translated.content_part as Record) };\n if (typeof cp.type === \"string\" && GA_TO_BETA_CONTENT_TYPE[cp.type]) {\n cp.type = GA_TO_BETA_CONTENT_TYPE[cp.type];\n }\n translated.content_part = cp;\n }\n // Translate content arrays\n if (Array.isArray(translated.content)) {\n translated.content = (translated.content as Record[]).map((c) => {\n if (typeof c.type === \"string\" && GA_TO_BETA_CONTENT_TYPE[c.type]) {\n return { ...c, type: GA_TO_BETA_CONTENT_TYPE[c.type] };\n }\n return c;\n });\n }\n // Translate item.content arrays (response.output_item.added/done, conversation.item.added)\n if (translated.item && typeof translated.item === \"object\") {\n const item = { ...(translated.item as Record) };\n delete item.phase; // GA-only field\n if (Array.isArray(item.content)) {\n item.content = (item.content as Record[]).map((c) => {\n if (typeof c.type === \"string\" && GA_TO_BETA_CONTENT_TYPE[c.type]) {\n return { ...c, type: GA_TO_BETA_CONTENT_TYPE[c.type] };\n }\n return c;\n });\n }\n translated.item = item;\n }\n // Translate response.output[].content arrays (response.done)\n if (translated.response && typeof translated.response === \"object\") {\n const resp = { ...(translated.response as Record) };\n if (Array.isArray(resp.output)) {\n resp.output = (resp.output as Record[]).map((outItem) => {\n const o = { ...(outItem as Record) };\n if (Array.isArray(o.content)) {\n o.content = (o.content as Record[]).map((c) =>\n typeof c.type === \"string\" && GA_TO_BETA_CONTENT_TYPE[c.type]\n ? { ...c, type: GA_TO_BETA_CONTENT_TYPE[c.type] }\n : c,\n );\n }\n return o;\n });\n }\n translated.response = resp;\n }\n\n // Flatten GA session config for Beta (session.created / session.updated)\n if (type === \"session.created\" || type === \"session.updated\") {\n if (translated.session && typeof translated.session === \"object\") {\n const session = { ...(translated.session as Record) };\n if (session.audio && typeof session.audio === \"object\") {\n const audio = session.audio as Record;\n session.voice = audio.voice;\n session.input_audio_format = audio.input_audio_format;\n session.output_audio_format = audio.output_audio_format;\n session.input_audio_transcription = audio.input_audio_transcription;\n delete session.audio;\n }\n delete session.type;\n delete session.reasoning;\n translated.session = session;\n }\n }\n\n return translated;\n}\n\n// ─── Event sending ──────────────────────────────────────────────────────────\n\nfunction sendEvent(ws: WebSocketConnection, event: Record, isBeta: boolean): void {\n const out = { ...event, event_id: event.event_id ?? realtimeId(\"event\") };\n if (isBeta) {\n const translated = translateGAToBeta(out);\n if (translated === null) return; // suppressed in Beta mode\n ws.send(JSON.stringify(translated));\n } else {\n ws.send(JSON.stringify(out));\n }\n}\n\nfunction buildErrorRealtimeEvent(\n ws: WebSocketConnection,\n message: string,\n isBeta: boolean,\n type = \"invalid_request_error\",\n code?: string,\n): void {\n sendEvent(ws, { type: \"error\", error: { message, type, code } }, isBeta);\n}\n\n// ─── Main handler ───────────────────────────────────────────────────────────\n\nexport function handleWebSocketRealtime(\n ws: WebSocketConnection,\n fixtures: Fixture[],\n journal: Journal,\n defaults: {\n latency: number;\n chunkSize: number;\n replaySpeed?: number;\n model: string;\n logger: Logger;\n strict?: boolean;\n requestTransform?: (req: ChatCompletionRequest) => ChatCompletionRequest;\n testId?: string;\n upgradeHeaders?: import(\"node:http\").IncomingHttpHeaders;\n },\n): void {\n const { logger } = defaults;\n const sessionId = realtimeId(\"sess\");\n\n const isBeta = defaults.upgradeHeaders?.[\"openai-beta\"]\n ? String(defaults.upgradeHeaders[\"openai-beta\"]).includes(\"realtime=v1\")\n : false;\n\n const session: SessionConfig = {\n model: defaults.model,\n modalities: [\"text\"],\n instructions: \"\",\n tools: [],\n voice: null,\n input_audio_format: null,\n output_audio_format: null,\n input_audio_noise_reduction: null,\n input_audio_transcription: null,\n turn_detection: null,\n temperature: 0.8,\n type: \"conversation\",\n reasoning: null,\n };\n\n const conversationItems: RealtimeItem[] = [];\n\n // Send session.created immediately on connect (GA format — shim flattens for Beta)\n sendEvent(\n ws,\n {\n type: \"session.created\",\n session: {\n id: sessionId,\n object: \"realtime.session\",\n model: session.model,\n expires_at: Math.floor(Date.now() / 1000) + 3600,\n modalities: session.modalities,\n instructions: session.instructions,\n tools: session.tools,\n tool_choice: \"auto\",\n temperature: session.temperature,\n max_response_output_tokens: \"inf\",\n audio: {\n voice: session.voice,\n input_audio_format: session.input_audio_format,\n output_audio_format: session.output_audio_format,\n input_audio_noise_reduction: session.input_audio_noise_reduction,\n input_audio_transcription: session.input_audio_transcription,\n },\n turn_detection: session.turn_detection,\n type: session.type,\n reasoning: session.reasoning,\n },\n },\n isBeta,\n );\n\n // Serialize message processing to prevent event interleaving\n let pending = Promise.resolve();\n ws.on(\"message\", (raw: string) => {\n pending = pending.then(() =>\n processMessage(\n raw,\n ws,\n fixtures,\n journal,\n defaults,\n session,\n conversationItems,\n isBeta,\n ).catch((err: unknown) => {\n const msg = err instanceof Error ? err.message : \"Internal error\";\n logger.error(`WebSocket realtime error: ${msg}`);\n try {\n buildErrorRealtimeEvent(ws, msg, isBeta, \"server_error\");\n } catch (sendErr) {\n defaults.logger.debug(\n `Failed to send error to client: ${sendErr instanceof Error ? sendErr.message : \"unknown\"}`,\n );\n }\n }),\n );\n });\n}\n\nasync function processMessage(\n raw: string,\n ws: WebSocketConnection,\n fixtures: Fixture[],\n journal: Journal,\n defaults: {\n latency: number;\n chunkSize: number;\n replaySpeed?: number;\n model: string;\n logger: Logger;\n strict?: boolean;\n requestTransform?: (req: ChatCompletionRequest) => ChatCompletionRequest;\n testId?: string;\n upgradeHeaders?: import(\"node:http\").IncomingHttpHeaders;\n },\n session: SessionConfig,\n conversationItems: RealtimeItem[],\n isBeta: boolean,\n): Promise {\n let parsed: RealtimeMessage;\n try {\n parsed = JSON.parse(raw) as RealtimeMessage;\n } catch (parseErr) {\n const detail = parseErr instanceof Error ? parseErr.message : \"unknown\";\n buildErrorRealtimeEvent(\n ws,\n `Malformed JSON: ${detail}`,\n isBeta,\n \"invalid_request_error\",\n \"invalid_json\",\n );\n return;\n }\n\n const msgType = parsed.type;\n\n // ── session.update ────────────────────────────────────────────────────\n if (msgType === \"session.update\") {\n if (parsed.session) {\n const s = parsed.session;\n\n // Validate session.type value before applying any mutations\n const validTypes = new Set([\"conversation\", \"transcription\", \"translation\"]);\n if ((s as Record).type !== undefined) {\n if (!validTypes.has((s as Record).type as string)) {\n sendEvent(\n ws,\n {\n type: \"error\",\n error: {\n message: `Invalid session type: ${(s as Record).type}`,\n type: \"invalid_request_error\",\n code: \"invalid_session_config\",\n },\n },\n isBeta,\n );\n return;\n }\n }\n\n // Capture full pre-mutation snapshot for rollback on validation failure\n const prevSession = { ...session };\n\n if (s.instructions !== undefined) session.instructions = s.instructions;\n if (s.tools !== undefined) session.tools = s.tools;\n if (s.modalities !== undefined) session.modalities = s.modalities;\n if (s.model !== undefined) session.model = s.model;\n if (s.temperature !== undefined) session.temperature = s.temperature;\n if ((s as Record).type !== undefined)\n session.type = (s as Record).type as SessionConfig[\"type\"];\n // GA nested audio config\n if ((s as Record).audio) {\n const audio = (s as Record).audio as Record;\n if (audio.voice !== undefined) session.voice = audio.voice as string | null;\n if (audio.input_audio_format !== undefined)\n session.input_audio_format = audio.input_audio_format as string | null;\n if (audio.output_audio_format !== undefined)\n session.output_audio_format = audio.output_audio_format as string | null;\n if (audio.input_audio_noise_reduction !== undefined)\n session.input_audio_noise_reduction = audio.input_audio_noise_reduction as {\n type: string;\n } | null;\n if (audio.input_audio_transcription !== undefined)\n session.input_audio_transcription = audio.input_audio_transcription as {\n model: string;\n } | null;\n }\n // Beta flat fields (backward compat)\n if (s.voice !== undefined) session.voice = s.voice;\n if (s.input_audio_format !== undefined) session.input_audio_format = s.input_audio_format;\n if (s.output_audio_format !== undefined) session.output_audio_format = s.output_audio_format;\n if (s.input_audio_noise_reduction !== undefined)\n session.input_audio_noise_reduction = s.input_audio_noise_reduction;\n if (s.input_audio_transcription !== undefined)\n session.input_audio_transcription = s.input_audio_transcription;\n // turn_detection config\n if (s.turn_detection !== undefined) session.turn_detection = s.turn_detection;\n // reasoning config\n if ((s as Record).reasoning !== undefined)\n session.reasoning = (s as Record).reasoning as {\n effort: string;\n } | null;\n\n // Validate model+type combinations (rollback on failure)\n const transcriptionModels = new Set([\n \"gpt-4o-transcribe\",\n \"gpt-4o-mini-transcribe\",\n \"gpt-realtime-whisper\",\n \"whisper-1\",\n ]);\n const translationModels = new Set([\n \"gpt-4o-transcribe\",\n \"gpt-4o-mini-transcribe\",\n \"gpt-realtime-translate\",\n ]);\n\n if (session.type === \"transcription\" && !transcriptionModels.has(session.model)) {\n Object.assign(session, prevSession);\n sendEvent(\n ws,\n {\n type: \"error\",\n error: {\n message: `Model ${s.model ?? prevSession.model} does not support session type transcription`,\n type: \"invalid_request_error\",\n code: \"invalid_session_config\",\n },\n },\n isBeta,\n );\n return;\n }\n if (session.type === \"translation\" && !translationModels.has(session.model)) {\n Object.assign(session, prevSession);\n sendEvent(\n ws,\n {\n type: \"error\",\n error: {\n message: `Model ${s.model ?? prevSession.model} does not support session type translation`,\n type: \"invalid_request_error\",\n code: \"invalid_session_config\",\n },\n },\n isBeta,\n );\n return;\n }\n }\n\n sendEvent(\n ws,\n {\n type: \"session.updated\",\n session: {\n object: \"realtime.session\",\n model: session.model,\n expires_at: Math.floor(Date.now() / 1000) + 3600,\n modalities: session.modalities,\n instructions: session.instructions,\n tools: session.tools,\n tool_choice: \"auto\",\n temperature: session.temperature,\n max_response_output_tokens: \"inf\",\n audio: {\n voice: session.voice,\n input_audio_format: session.input_audio_format,\n output_audio_format: session.output_audio_format,\n input_audio_noise_reduction: session.input_audio_noise_reduction,\n input_audio_transcription: session.input_audio_transcription,\n },\n turn_detection: session.turn_detection,\n type: session.type,\n reasoning: session.reasoning,\n },\n },\n isBeta,\n );\n return;\n }\n\n // ── conversation.item.create ──────────────────────────────────────────\n if (msgType === \"conversation.item.create\") {\n if (!parsed.item) {\n buildErrorRealtimeEvent(\n ws,\n \"Missing 'item' in conversation.item.create\",\n isBeta,\n \"invalid_request_error\",\n );\n return;\n }\n const item = parsed.item;\n if (!item.id) {\n item.id = realtimeId(\"item\");\n }\n const previousId =\n conversationItems.length > 0\n ? (conversationItems[conversationItems.length - 1].id ?? null)\n : null;\n conversationItems.push(item);\n sendEvent(ws, { type: \"conversation.item.added\", previous_item_id: previousId, item }, isBeta);\n return;\n }\n\n // ── response.create ───────────────────────────────────────────────────\n if (msgType === \"response.create\") {\n await handleResponseCreate(\n ws,\n fixtures,\n journal,\n defaults,\n session,\n conversationItems,\n isBeta,\n parsed.response,\n );\n return;\n }\n\n // ── input_audio_buffer.append ────────────────────────────────────────\n if (msgType === \"input_audio_buffer.append\") {\n // Accept silently — aimock doesn't process actual audio\n return;\n }\n\n // ── input_audio_buffer.commit ──────────────────────────────────────\n if (msgType === \"input_audio_buffer.commit\") {\n sendEvent(ws, { type: \"input_audio_buffer.committed\" }, isBeta);\n // In transcription/translation mode, add a placeholder user item\n if (session.type === \"transcription\" || session.type === \"translation\") {\n const audioItem: RealtimeItem = {\n type: \"message\",\n id: realtimeId(\"item\"),\n role: \"user\",\n content: [{ type: \"input_audio\", transcript: null }],\n };\n conversationItems.push(audioItem);\n sendEvent(\n ws,\n {\n type: \"conversation.item.added\",\n item: audioItem,\n },\n isBeta,\n );\n }\n return;\n }\n\n // ── input_audio_buffer.clear ───────────────────────────────────────\n if (msgType === \"input_audio_buffer.clear\") {\n sendEvent(ws, { type: \"input_audio_buffer.cleared\" }, isBeta);\n return;\n }\n\n // ── response.cancel ────────────────────────────────────────────────\n if (msgType === \"response.cancel\") {\n sendEvent(ws, { type: \"response.cancelled\" }, isBeta);\n return;\n }\n\n // Unknown message type — ignore silently (matches OpenAI behavior)\n}\n\nasync function handleResponseCreate(\n ws: WebSocketConnection,\n fixtures: Fixture[],\n journal: Journal,\n defaults: {\n latency: number;\n chunkSize: number;\n replaySpeed?: number;\n model: string;\n logger: Logger;\n strict?: boolean;\n requestTransform?: (req: ChatCompletionRequest) => ChatCompletionRequest;\n testId?: string;\n upgradeHeaders?: import(\"node:http\").IncomingHttpHeaders;\n },\n session: SessionConfig,\n conversationItems: RealtimeItem[],\n isBeta: boolean,\n responseOverrides?: { instructions?: string; [key: string]: unknown },\n): Promise {\n const instructions = (responseOverrides?.instructions ?? session.instructions) || undefined;\n const messages = realtimeItemsToMessages(conversationItems, instructions, defaults.logger);\n\n const endpointTypeMap: Record = {\n conversation: \"realtime\",\n transcription: \"realtime-transcription\",\n translation: \"realtime-translation\",\n };\n const endpointType = endpointTypeMap[session.type] ?? \"realtime\";\n\n const realtimeContextHeader = defaults.upgradeHeaders?.[\"x-aimock-context\"];\n const realtimeContext =\n typeof realtimeContextHeader === \"string\"\n ? realtimeContextHeader\n : Array.isArray(realtimeContextHeader) && realtimeContextHeader.length > 0\n ? realtimeContextHeader[0]\n : undefined;\n\n const completionReq: ChatCompletionRequest = {\n model: session.model,\n messages,\n _endpointType: endpointType,\n _context: realtimeContext,\n };\n\n const testId = defaults.testId ?? DEFAULT_TEST_ID;\n const { fixture, skippedBySequenceOrTurn } = matchFixtureDiagnostic(\n fixtures,\n completionReq,\n journal.getFixtureMatchCountsForTest(testId),\n defaults.requestTransform,\n );\n const responseId = realtimeId(\"resp\");\n\n if (fixture) {\n journal.incrementFixtureMatchCount(fixture, fixtures, testId);\n }\n\n if (!fixture) {\n if (resolveStrictMode(defaults.strict, defaults.upgradeHeaders)) {\n const strictMessage = strictNoMatchMessage(skippedBySequenceOrTurn);\n defaults.logger.error(strictNoMatchLogLine(\"WS\", \"/v1/realtime\", skippedBySequenceOrTurn));\n journal.add({\n method: \"WS\",\n path: \"/v1/realtime\",\n headers: flattenHeaders(defaults.upgradeHeaders ?? {}),\n body: completionReq,\n response: {\n status: 503,\n fixture: null,\n ...strictOverrideField(defaults.strict, defaults.upgradeHeaders),\n },\n });\n ws.close(1008, strictMessage);\n return;\n }\n journal.add({\n method: \"WS\",\n path: \"/v1/realtime\",\n headers: flattenHeaders(defaults.upgradeHeaders ?? {}),\n body: completionReq,\n response: {\n status: 404,\n fixture: null,\n ...strictOverrideField(defaults.strict, defaults.upgradeHeaders),\n },\n });\n // Send response.created with failed status then response.done with error\n sendEvent(\n ws,\n {\n type: \"response.created\",\n response: {\n id: responseId,\n object: \"realtime.response\",\n status: \"failed\",\n status_details: null,\n output: [],\n usage: null,\n },\n },\n isBeta,\n );\n sendEvent(\n ws,\n {\n type: \"response.done\",\n response: {\n id: responseId,\n object: \"realtime.response\",\n status: \"failed\",\n output: [],\n status_details: {\n type: \"error\",\n error: {\n message: \"No fixture matched\",\n type: \"invalid_request_error\",\n code: \"no_fixture_match\",\n },\n },\n usage: { total_tokens: 0, input_tokens: 0, output_tokens: 0 },\n },\n },\n isBeta,\n );\n return;\n }\n\n const response = await resolveResponse(fixture, completionReq);\n const latency = fixture.latency ?? defaults.latency;\n const chunkSize = Math.max(1, fixture.chunkSize ?? defaults.chunkSize);\n\n // ── Error fixture ───────────────────────────────────────────────────\n if (isErrorResponse(response)) {\n const status = response.status ?? 500;\n journal.add({\n method: \"WS\",\n path: \"/v1/realtime\",\n headers: flattenHeaders(defaults.upgradeHeaders ?? {}),\n body: completionReq,\n response: { status, fixture },\n });\n sendEvent(\n ws,\n {\n type: \"response.created\",\n response: {\n id: responseId,\n object: \"realtime.response\",\n status: \"failed\",\n status_details: null,\n output: [],\n usage: null,\n },\n },\n isBeta,\n );\n sendEvent(\n ws,\n {\n type: \"response.done\",\n response: {\n id: responseId,\n object: \"realtime.response\",\n status: \"failed\",\n output: [],\n status_details: {\n type: \"error\",\n error: {\n message: response.error.message,\n type: response.error.type,\n code: response.error.code,\n },\n },\n usage: { total_tokens: 0, input_tokens: 0, output_tokens: 0 },\n },\n },\n isBeta,\n );\n return;\n }\n\n // ── Content + tool calls response ──────────────────────────────────\n if (isContentWithToolCallsResponse(response)) {\n const journalEntry = journal.add({\n method: \"WS\",\n path: \"/v1/realtime\",\n headers: flattenHeaders(defaults.upgradeHeaders ?? {}),\n body: completionReq,\n response: { status: 200, fixture },\n });\n\n // response.created\n sendEvent(\n ws,\n {\n type: \"response.created\",\n response: {\n id: responseId,\n object: \"realtime.response\",\n status: \"in_progress\",\n status_details: null,\n output: [],\n usage: null,\n },\n },\n isBeta,\n );\n\n const interruption = createInterruptionSignal(fixture);\n let interrupted = false;\n const allOutputItems: unknown[] = [];\n\n // ── Text content part ──────────────────────────────────────────\n const textItemId = realtimeId(\"item\");\n const contentIndex = 0;\n const textOutputIndex = 0;\n\n const textOutputItem = {\n id: textItemId,\n type: \"message\",\n role: \"assistant\",\n status: \"completed\",\n content: [{ type: \"output_text\", text: response.content }],\n };\n\n // Determine phase: text is \"commentary\" when tool calls are also present\n const hasToolCalls = response.toolCalls && response.toolCalls.length > 0;\n const textPhase = hasToolCalls ? \"commentary\" : \"final_answer\";\n\n // response.output_item.added (text)\n sendEvent(\n ws,\n {\n type: \"response.output_item.added\",\n response_id: responseId,\n output_index: textOutputIndex,\n item: {\n id: textItemId,\n type: \"message\",\n role: \"assistant\",\n status: \"in_progress\",\n content: [],\n phase: textPhase,\n },\n },\n isBeta,\n );\n\n // response.content_part.added\n sendEvent(\n ws,\n {\n type: \"response.content_part.added\",\n response_id: responseId,\n item_id: textItemId,\n output_index: textOutputIndex,\n content_index: contentIndex,\n part: { type: \"output_text\", text: \"\" },\n },\n isBeta,\n );\n\n // response.output_text.delta (chunked) — GA name\n const content = response.content;\n const replaySpeed = fixture.replaySpeed ?? defaults.replaySpeed;\n const { recordedTimings } = fixture;\n let eventIndex = 0;\n for (let i = 0; i < content.length; i += chunkSize) {\n if (ws.isClosed) break;\n const chunkDelay = calculateDelay(\n eventIndex,\n undefined,\n latency,\n recordedTimings,\n replaySpeed,\n );\n if (chunkDelay > 0) await delay(chunkDelay, interruption?.signal);\n if (interruption?.signal.aborted) {\n interrupted = true;\n break;\n }\n if (ws.isClosed) break;\n const chunk = content.slice(i, i + chunkSize);\n try {\n sendEvent(\n ws,\n {\n type: \"response.output_text.delta\",\n response_id: responseId,\n item_id: textItemId,\n output_index: textOutputIndex,\n content_index: contentIndex,\n delta: chunk,\n },\n isBeta,\n );\n } catch (err) {\n defaults.logger.debug(\"[ws-realtime] send failed during text streaming, closing\", err);\n break;\n }\n eventIndex++;\n interruption?.tick();\n if (interruption?.signal.aborted) {\n interrupted = true;\n break;\n }\n }\n\n if (interrupted) {\n ws.destroy();\n journalEntry.response.interrupted = true;\n journalEntry.response.interruptReason = interruption?.reason();\n interruption?.cleanup();\n return;\n }\n\n if (ws.isClosed) {\n interruption?.cleanup();\n return;\n }\n\n // response.output_text.done\n sendEvent(\n ws,\n {\n type: \"response.output_text.done\",\n response_id: responseId,\n item_id: textItemId,\n output_index: textOutputIndex,\n content_index: contentIndex,\n text: content,\n },\n isBeta,\n );\n\n if (ws.isClosed) {\n interruption?.cleanup();\n return;\n }\n\n // response.content_part.done\n sendEvent(\n ws,\n {\n type: \"response.content_part.done\",\n response_id: responseId,\n item_id: textItemId,\n output_index: textOutputIndex,\n content_index: contentIndex,\n part: { type: \"output_text\", text: content },\n },\n isBeta,\n );\n\n if (ws.isClosed) {\n interruption?.cleanup();\n return;\n }\n\n // response.output_item.done (text)\n sendEvent(\n ws,\n {\n type: \"response.output_item.done\",\n response_id: responseId,\n output_index: textOutputIndex,\n item: { ...textOutputItem, phase: textPhase },\n },\n isBeta,\n );\n\n // conversation.item.done (text message)\n sendEvent(\n ws,\n {\n type: \"conversation.item.done\",\n item: {\n id: textItemId,\n object: \"realtime.item\",\n type: \"message\",\n role: \"assistant\",\n status: \"completed\",\n content: textOutputItem.content,\n },\n },\n isBeta,\n );\n\n if (ws.isClosed) {\n interruption?.cleanup();\n return;\n }\n\n allOutputItems.push(textOutputItem);\n\n // ── Tool call parts ────────────────────────────────────────────\n for (let tcIdx = 0; tcIdx < response.toolCalls.length; tcIdx++) {\n const tc = response.toolCalls[tcIdx];\n const callId = tc.id ?? generateToolCallId();\n const itemId = realtimeId(\"item\");\n const outputIndex = tcIdx + 1; // offset by 1 for the text item\n\n const toolOutputItem = {\n id: itemId,\n type: \"function_call\",\n status: \"completed\",\n call_id: callId,\n name: tc.name,\n arguments: tc.arguments,\n };\n\n // response.output_item.added\n sendEvent(\n ws,\n {\n type: \"response.output_item.added\",\n response_id: responseId,\n output_index: outputIndex,\n item: {\n id: itemId,\n type: \"function_call\",\n status: \"in_progress\",\n call_id: callId,\n name: tc.name,\n arguments: \"\",\n phase: \"final_answer\",\n },\n },\n isBeta,\n );\n\n // response.function_call_arguments.delta (chunked)\n // Continue eventIndex from content chunks to avoid re-triggering TTFT\n const args = tc.arguments;\n for (let i = 0; i < args.length; i += chunkSize) {\n if (ws.isClosed) break;\n const chunkDelay = calculateDelay(\n eventIndex,\n undefined,\n latency,\n recordedTimings,\n replaySpeed,\n );\n if (chunkDelay > 0) await delay(chunkDelay, interruption?.signal);\n if (interruption?.signal.aborted) {\n interrupted = true;\n break;\n }\n if (ws.isClosed) break;\n const chunk = args.slice(i, i + chunkSize);\n try {\n sendEvent(\n ws,\n {\n type: \"response.function_call_arguments.delta\",\n response_id: responseId,\n item_id: itemId,\n output_index: outputIndex,\n call_id: callId,\n delta: chunk,\n },\n isBeta,\n );\n } catch (err) {\n defaults.logger.debug(\n \"[ws-realtime] send failed during tool call streaming, closing\",\n err,\n );\n break;\n }\n eventIndex++;\n interruption?.tick();\n if (interruption?.signal.aborted) {\n interrupted = true;\n break;\n }\n }\n\n if (interrupted) break;\n\n if (ws.isClosed) break;\n\n // response.function_call_arguments.done\n sendEvent(\n ws,\n {\n type: \"response.function_call_arguments.done\",\n response_id: responseId,\n item_id: itemId,\n output_index: outputIndex,\n call_id: callId,\n arguments: args,\n },\n isBeta,\n );\n\n if (ws.isClosed) break;\n\n // response.output_item.done\n sendEvent(\n ws,\n {\n type: \"response.output_item.done\",\n response_id: responseId,\n output_index: outputIndex,\n item: { ...toolOutputItem, phase: \"final_answer\" },\n },\n isBeta,\n );\n\n // conversation.item.done (tool call)\n sendEvent(\n ws,\n {\n type: \"conversation.item.done\",\n item: {\n id: itemId,\n object: \"realtime.item\",\n type: \"function_call\",\n status: \"completed\",\n call_id: callId,\n name: tc.name,\n arguments: args,\n },\n },\n isBeta,\n );\n\n if (ws.isClosed) break;\n\n allOutputItems.push(toolOutputItem);\n }\n\n if (interrupted) {\n ws.destroy();\n journalEntry.response.interrupted = true;\n journalEntry.response.interruptReason = interruption?.reason();\n interruption?.cleanup();\n return;\n }\n\n interruption?.cleanup();\n\n if (ws.isClosed) return;\n\n // response.done\n sendEvent(\n ws,\n {\n type: \"response.done\",\n response: {\n id: responseId,\n object: \"realtime.response\",\n status: \"completed\",\n output: allOutputItems,\n usage: { total_tokens: 0, input_tokens: 0, output_tokens: 0 },\n },\n },\n isBeta,\n );\n\n // Accumulate into conversation for multi-turn\n conversationItems.push({\n type: \"message\",\n id: textItemId,\n role: \"assistant\",\n content: [{ type: \"text\", text: content }],\n });\n for (const item of allOutputItems.slice(1)) {\n conversationItems.push(item as RealtimeItem);\n }\n return;\n }\n\n // ── Text response ───────────────────────────────────────────────────\n if (isTextResponse(response)) {\n const journalEntry = journal.add({\n method: \"WS\",\n path: \"/v1/realtime\",\n headers: flattenHeaders(defaults.upgradeHeaders ?? {}),\n body: completionReq,\n response: { status: 200, fixture },\n });\n\n const itemId = realtimeId(\"item\");\n const contentIndex = 0;\n const outputIndex = 0;\n\n const outputItem = {\n id: itemId,\n type: \"message\",\n role: \"assistant\",\n status: \"completed\",\n content: [{ type: \"output_text\", text: response.content }],\n };\n\n // response.created\n sendEvent(\n ws,\n {\n type: \"response.created\",\n response: {\n id: responseId,\n object: \"realtime.response\",\n status: \"in_progress\",\n status_details: null,\n output: [],\n usage: null,\n },\n },\n isBeta,\n );\n\n // response.output_item.added\n sendEvent(\n ws,\n {\n type: \"response.output_item.added\",\n response_id: responseId,\n output_index: outputIndex,\n item: {\n id: itemId,\n type: \"message\",\n role: \"assistant\",\n status: \"in_progress\",\n content: [],\n phase: \"final_answer\",\n },\n },\n isBeta,\n );\n\n // response.content_part.added\n sendEvent(\n ws,\n {\n type: \"response.content_part.added\",\n response_id: responseId,\n item_id: itemId,\n output_index: outputIndex,\n content_index: contentIndex,\n part: { type: \"output_text\", text: \"\" },\n },\n isBeta,\n );\n\n // response.output_text.delta (chunked) — GA name\n const content = response.content;\n const replaySpeed = fixture.replaySpeed ?? defaults.replaySpeed;\n const { recordedTimings } = fixture;\n const interruption = createInterruptionSignal(fixture);\n let interrupted = false;\n let eventIndex = 0;\n\n for (let i = 0; i < content.length; i += chunkSize) {\n if (ws.isClosed) break;\n const chunkDelay = calculateDelay(\n eventIndex,\n undefined,\n latency,\n recordedTimings,\n replaySpeed,\n );\n if (chunkDelay > 0) await delay(chunkDelay, interruption?.signal);\n if (interruption?.signal.aborted) {\n interrupted = true;\n break;\n }\n if (ws.isClosed) break;\n const chunk = content.slice(i, i + chunkSize);\n try {\n sendEvent(\n ws,\n {\n type: \"response.output_text.delta\",\n response_id: responseId,\n item_id: itemId,\n output_index: outputIndex,\n content_index: contentIndex,\n delta: chunk,\n },\n isBeta,\n );\n } catch (err) {\n defaults.logger.debug(\"[ws-realtime] send failed during text streaming, closing\", err);\n break;\n }\n eventIndex++;\n interruption?.tick();\n if (interruption?.signal.aborted) {\n interrupted = true;\n break;\n }\n }\n\n if (interrupted) {\n ws.destroy();\n journalEntry.response.interrupted = true;\n journalEntry.response.interruptReason = interruption?.reason();\n interruption?.cleanup();\n return;\n }\n\n interruption?.cleanup();\n\n if (ws.isClosed) return;\n\n // response.output_text.done\n sendEvent(\n ws,\n {\n type: \"response.output_text.done\",\n response_id: responseId,\n item_id: itemId,\n output_index: outputIndex,\n content_index: contentIndex,\n text: content,\n },\n isBeta,\n );\n\n // response.content_part.done\n sendEvent(\n ws,\n {\n type: \"response.content_part.done\",\n response_id: responseId,\n item_id: itemId,\n output_index: outputIndex,\n content_index: contentIndex,\n part: { type: \"output_text\", text: content },\n },\n isBeta,\n );\n\n // response.output_item.done\n sendEvent(\n ws,\n {\n type: \"response.output_item.done\",\n response_id: responseId,\n output_index: outputIndex,\n item: { ...outputItem, phase: \"final_answer\" },\n },\n isBeta,\n );\n\n // conversation.item.done (text message)\n sendEvent(\n ws,\n {\n type: \"conversation.item.done\",\n item: {\n id: itemId,\n object: \"realtime.item\",\n type: \"message\",\n role: \"assistant\",\n status: \"completed\",\n content: outputItem.content,\n },\n },\n isBeta,\n );\n\n // response.done\n sendEvent(\n ws,\n {\n type: \"response.done\",\n response: {\n id: responseId,\n object: \"realtime.response\",\n status: \"completed\",\n output: [outputItem],\n usage: { total_tokens: 0, input_tokens: 0, output_tokens: 0 },\n },\n },\n isBeta,\n );\n\n // Accumulate assistant response into conversation for multi-turn\n conversationItems.push({\n type: \"message\",\n id: itemId,\n role: \"assistant\",\n content: [{ type: \"text\", text: content }],\n });\n return;\n }\n\n // ── Tool call response ──────────────────────────────────────────────\n if (isToolCallResponse(response)) {\n const journalEntry = journal.add({\n method: \"WS\",\n path: \"/v1/realtime\",\n headers: flattenHeaders(defaults.upgradeHeaders ?? {}),\n body: completionReq,\n response: { status: 200, fixture },\n });\n\n // response.created\n sendEvent(\n ws,\n {\n type: \"response.created\",\n response: {\n id: responseId,\n object: \"realtime.response\",\n status: \"in_progress\",\n status_details: null,\n output: [],\n usage: null,\n },\n },\n isBeta,\n );\n\n const outputItems: unknown[] = [];\n const interruption = createInterruptionSignal(fixture);\n const replaySpeed = fixture.replaySpeed ?? defaults.replaySpeed;\n const { recordedTimings } = fixture;\n let interrupted = false;\n let eventIndex = 0;\n\n for (let tcIdx = 0; tcIdx < response.toolCalls.length; tcIdx++) {\n const tc = response.toolCalls[tcIdx];\n const callId = tc.id ?? generateToolCallId();\n const itemId = realtimeId(\"item\");\n\n const outputItem = {\n id: itemId,\n type: \"function_call\",\n status: \"completed\",\n call_id: callId,\n name: tc.name,\n arguments: tc.arguments,\n };\n\n // response.output_item.added\n sendEvent(\n ws,\n {\n type: \"response.output_item.added\",\n response_id: responseId,\n output_index: tcIdx,\n item: {\n id: itemId,\n type: \"function_call\",\n status: \"in_progress\",\n call_id: callId,\n name: tc.name,\n arguments: \"\",\n phase: \"final_answer\",\n },\n },\n isBeta,\n );\n\n // response.function_call_arguments.delta (chunked)\n // eventIndex is continuous across all tool calls to avoid re-triggering TTFT\n const args = tc.arguments;\n for (let i = 0; i < args.length; i += chunkSize) {\n if (ws.isClosed) break;\n const chunkDelay = calculateDelay(\n eventIndex,\n undefined,\n latency,\n recordedTimings,\n replaySpeed,\n );\n if (chunkDelay > 0) await delay(chunkDelay, interruption?.signal);\n if (interruption?.signal.aborted) {\n interrupted = true;\n break;\n }\n if (ws.isClosed) break;\n const chunk = args.slice(i, i + chunkSize);\n try {\n sendEvent(\n ws,\n {\n type: \"response.function_call_arguments.delta\",\n response_id: responseId,\n item_id: itemId,\n output_index: tcIdx,\n call_id: callId,\n delta: chunk,\n },\n isBeta,\n );\n } catch (err) {\n defaults.logger.debug(\n \"[ws-realtime] send failed during tool call streaming, closing\",\n err,\n );\n break;\n }\n eventIndex++;\n interruption?.tick();\n if (interruption?.signal.aborted) {\n interrupted = true;\n break;\n }\n }\n\n if (interrupted) break;\n\n if (ws.isClosed) break;\n\n // response.function_call_arguments.done\n sendEvent(\n ws,\n {\n type: \"response.function_call_arguments.done\",\n response_id: responseId,\n item_id: itemId,\n output_index: tcIdx,\n call_id: callId,\n arguments: args,\n },\n isBeta,\n );\n\n // response.output_item.done\n sendEvent(\n ws,\n {\n type: \"response.output_item.done\",\n response_id: responseId,\n output_index: tcIdx,\n item: { ...outputItem, phase: \"final_answer\" },\n },\n isBeta,\n );\n\n // conversation.item.done (tool call)\n sendEvent(\n ws,\n {\n type: \"conversation.item.done\",\n item: {\n id: itemId,\n object: \"realtime.item\",\n type: \"function_call\",\n status: \"completed\",\n call_id: callId,\n name: tc.name,\n arguments: args,\n },\n },\n isBeta,\n );\n\n outputItems.push(outputItem);\n }\n\n if (interrupted) {\n ws.destroy();\n journalEntry.response.interrupted = true;\n journalEntry.response.interruptReason = interruption?.reason();\n interruption?.cleanup();\n return;\n }\n\n interruption?.cleanup();\n\n if (ws.isClosed) return;\n\n // response.done\n sendEvent(\n ws,\n {\n type: \"response.done\",\n response: {\n id: responseId,\n object: \"realtime.response\",\n status: \"completed\",\n output: outputItems,\n usage: { total_tokens: 0, input_tokens: 0, output_tokens: 0 },\n },\n },\n isBeta,\n );\n\n // Accumulate assistant tool calls into conversation for multi-turn\n // Reuse outputItems (which already have the correct call_id) to avoid generating divergent IDs\n for (const item of outputItems) {\n conversationItems.push(item as RealtimeItem);\n }\n return;\n }\n\n // Unknown response type\n journal.add({\n method: \"WS\",\n path: \"/v1/realtime\",\n headers: flattenHeaders(defaults.upgradeHeaders ?? {}),\n body: completionReq,\n response: { status: 500, fixture },\n });\n buildErrorRealtimeEvent(\n ws,\n \"Fixture response did not match any known type\",\n isBeta,\n \"server_error\",\n 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