OpenAI Realtime API Voice Agent

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{ Hono } from \"npm:hono\";\nimport WebSocket from \"npm:ws\";\nimport { createHandler } from \"./agent.ts\";\nimport { makeHeaders, makeUrl } from \"./utils.ts\";\n\nexport interface ObserverHandler {\n onInit(): void;\n onTool(name: string, args: any): void;\n onOutputAudioStarted(): void;\n onOutputAudioStopped(): void;\n onOutputAudioCleared(): void;\n}\n\nexport class ObserverClient {\n private ws: WebSocket;\n private closeResolve: () => void;\n private closePromise: Promise;\n private handler: ObserverHandler;\n\n constructor(callId: string) {\n const url = makeUrl(callId);\n this.ws = new WebSocket(url, { headers: makeHeaders() });\n this.ws.on(\"open\", () => this.handleOpen());\n this.ws.on(\"message\", (data) => this.handleMessage(JSON.parse(data)));\n this.ws.on(\"error\", (err) => this.handleError(err));\n this.ws.on(\"close\", (ev) => this.handleClose(ev));\n this.closePromise = new Promise((resolve) =>\n this.closeResolve = resolve\n );\n this.handler = createHandler(this, callId);\n }\n createResponse() {\n this.sendMessage({ type: \"response.create\" });\n }\n createOutputAudioBuffer(name: string) {\n this.sendMessage({ type: \"output_audio_buffer.create\", name });\n }\n appendOutputAudio(name: string, pcm: Int16Array) {\n const uint8 = new Uint8Array(pcm.buffer, pcm.byteOffset, pcm.byteLength);\n const audio = btoa(String.fromCharCode(...uint8));\n this.sendMessage({ type: \"output_audio_buffer.append\", name, audio });\n }\n async waitForClose() {\n await this.closePromise;\n }\n private sendMessage(message: any) {\n this.ws.send(JSON.stringify(message));\n }\n private handleOpen() {\n console.log(\"✅ websocket connected\");\n this.handler.onInit();\n }\n private async handleMessage(message: any) {\n if (!message.type.endsWith(\".delta\")) { // ignore verbose messages\n console.log(message);\n }\n switch (message.type) {\n case \"response.function_call_arguments.done\":\n this.handler.onTool(message.name, JSON.parse(message.arguments));\n break;\n case \"output_audio_buffer.started\":\n this.handler.onOutputAudioStarted();\n break;\n case \"output_audio_buffer.stopped\":\n this.handler.onOutputAudioStopped();\n break;\n case \"output_audio_buffer.cleared\":\n this.handler.onOutputAudioCleared();\n break;\n }\n }\n private handleError(err: Error) {\n console.error(`🔴 websocket failed: ${err.message}`);\n this.closeResolve();\n }\n private handleClose(e: Event) {\n console.log(`websocket closed: ${e}`);\n this.closeResolve();\n }\n}\n\nconst observer = new Hono();\n\n// POST /observer/:callId : self-connect to establish a web socket\nobserver.post(\"/:callId\", async (c) => {\n const callId = c.req.param(\"callId\");\n const client = new ObserverClient(callId);\n await client.waitForClose();\n return c.newResponse(null);\n});\n\nexport default observer;","import { Hono } from \"npm:hono\";\nimport WebSocket from \"npm:ws\";\nimport { createHandler } from \"./agent.ts\";\nimport { makeHeaders, makeUrl } from \"./utils.ts\";\n\nexport interface ObserverHandler {\n onInit(): void;\n onTool(name: string, args: any): void;\n onOutputAudioStarted(): void;\n onOutputAudioStopped(): void;\n onOutputAudioCleared(): void;\n}\n\nexport class ObserverClient {\n private ws: WebSocket;\n private closeResolve: () => void;\n private closePromise: Promise;\n private handler: ObserverHandler;\n\n constructor(callId: string) {\n const url = makeUrl(callId);\n this.ws = new WebSocket(url, { headers: makeHeaders() });\n this.ws.on(\"open\", () => this.handleOpen());\n this.ws.on(\"message\", (data) => this.handleMessage(JSON.parse(data)));\n this.ws.on(\"error\", (err) => this.handleError(err));\n this.ws.on(\"close\", (ev) => this.handleClose(ev));\n this.closePromise = new Promise((resolve) =>\n this.closeResolve = resolve\n );\n this.handler = createHandler(this, callId);\n }\n createResponse() {\n this.sendMessage({ type: \"response.create\" });\n }\n createOutputAudioBuffer(name: string) {\n this.sendMessage({ type: \"output_audio_buffer.create\", name });\n }\n deleteOutputAudioBuffer(name: string) {\n this.sendMessage({ type: \"output_audio_buffer.delete\", name });\n }\n\n appendOutputAudio(name: string, pcm: Int16Array) {\n const uint8 = new Uint8Array(pcm.buffer, pcm.byteOffset, pcm.byteLength);\n const audio = btoa(String.fromCharCode(...uint8));\n this.sendMessage({ type: \"output_audio_buffer.append\", name, audio });\n }\n async waitForClose() {\n await this.closePromise;\n }\n private sendMessage(message: any) {\n this.ws.send(JSON.stringify(message));\n }\n private handleOpen() {\n console.log(\"✅ websocket connected\");\n this.handler.onInit();\n }\n private async handleMessage(message: any) {\n if (!message.type.endsWith(\".delta\")) { // ignore verbose messages\n console.log(message);\n }\n switch (message.type) {\n case \"response.function_call_arguments.done\":\n this.handler.onTool(message.name, JSON.parse(message.arguments));\n break;\n case \"output_audio_buffer.started\":\n this.handler.onOutputAudioStarted();\n break;\n case \"output_audio_buffer.stopped\":\n this.handler.onOutputAudioStopped();\n break;\n case \"output_audio_buffer.cleared\":\n this.handler.onOutputAudioCleared();\n break;\n }\n }\n private handleError(err: Error) {\n console.error(`🔴 websocket failed: ${err.message}`);\n this.closeResolve();\n }\n private handleClose(e: Event) {\n console.log(`websocket closed: ${e}`);\n this.closeResolve();\n }\n}\n\nconst observer = new Hono();\n\n// POST /observer/:callId : self-connect to establish a web socket\nobserver.post(\"/:callId\", async (c) => {\n const callId = c.req.param(\"callId\");\n const client = new ObserverClient(callId);\n await client.waitForClose();\n return c.newResponse(null);\n});\n\nexport default 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app for the OpenAI Realtime API",{"_100":99,"_107":103},{"_44":169,"_32":170,"_30":171,"_149":-5,"_42":43,"_41":150,"_151":59,"_39":172,"_13":63,"_34":167,"_36":-5,"_24":25,"_155":-5,"_27":173},{"_44":163,"_32":164,"_30":165,"_149":-5,"_42":43,"_41":150,"_151":59,"_39":166,"_13":63,"_34":167,"_36":-5,"_24":25,"_155":-5,"_27":168},{"_44":157,"_32":158,"_30":159,"_149":-5,"_42":43,"_41":150,"_151":59,"_39":160,"_13":63,"_34":20,"_36":161,"_24":25,"_155":-5,"_27":162},{"_44":147,"_32":148,"_30":57,"_149":-5,"_42":43,"_41":150,"_151":59,"_39":152,"_13":63,"_34":153,"_36":154,"_24":25,"_155":46,"_27":156},"ab1f7b9c-bb74-11f0-bfa0-42dde27851f2","main.tsx","parentId",1,"latest",["D",1762477020968],"http","import { Hono } from \"npm:hono\";\nimport { blob } from \"https://esm.town/v/std/blob\";\nimport { parseVal, serveFile } from \"https://esm.town/v/std/utils/index.ts\";\n// import mcp from \"./routes/mcp.ts\";\nimport rtc from \"./routes/rtc.ts\";\nimport sip from \"./routes/sip.ts\";\nimport observer from \"./routes/observer.ts\";\n\nconst SOURCE_URL = parseVal(Deno.env.get(\"VALTOWN_ENTRYPOINT\")).links.self.val;\n\nconst app = new Hono();\napp.route(\"/rtc\", rtc);\napp.route(\"/sip\", sip);\napp.route(\"/observer\", observer);\n// app.route(\"/mcp\", mcp);\napp.get(\"/source\", (c) => c.redirect(SOURCE_URL));\n\napp.get(\"/\", () => serveFile(\"/frontend/index.html\", import.meta.url));\napp.get(\"/favicon.ico\", async (c) => {\n const entry = parseVal(Deno.env.get(\"VALTOWN_ENTRYPOINT\"));\n const file = await blob.get(`${entry.name}/favicon.ico`);\n if (!file) {\n return c.text(\"favicon not found\", 404);\n }\n return new Response(file.body, {\n headers: {\n \"Content-Type\": \"image/x-icon\",\n \"Cache-Control\": \"public, max-age=31536000, immutable\",\n },\n });\n}); \n \nexport default app.fetch;","label",[148],"ab1f7958-bb74-11f0-bfa0-42dde27851f2","README.md","019a5bd1-1741-76ad-96c4-9b24f7bc5552",["D",1762477020968],"# hello-realtime\n\n**Hello Realtime** is a OpenAI Realtime app that supports both WebRTC and SIP\n(telephone) users. You can access the app via WebRTC at\n[hello-realtime.val.run](https://hello-realtime.val.run), or via SIP by calling\n425-800-0042.\n\nThis demo shows off the new SIP API, the new all-in-one WebRTC API, and the new\nserver-side websocket interface.\n\nIf you remix the app, you'll just need to pop in your own `OPENAI_API_KEY` (from\n[platform.openai.com](https://platform.openai.com)), and if you want SIP, the\n`OPENAI_SIGNING_SECRET`.\n\n## Architecture\n\n1. **WebRTC Flow**:\n - Browser connects to frontend\n - creates WebRTC offer\n - `/rtc` endpoint handles SDP negotiation with OpenAI\n - observer established to monitor session\n2. **SIP Flow**:\n - Phone calls triggers webhook\n - `/sip` endpoint verifies webhook and accepts call\n - observer established to monitor session\n\n## API Endpoints\n\n- `GET /` - serves the WebRTC-based app\n- `POST /rtc` - creates a new WebRTC-based Realtime API session\n - Supports optional `model` URL parameter to override the default model\n - Example: `POST /rtc?model=gpt-4o-realtime-preview`\n- `POST /sip` - handles an incoming Realtime API SIP call\n- `POST /observer` - internal endpoint to establish a Realtime API websocket for\n session control\n\n## Project Structure\n\n```\n├── frontend/ \n│ └── index.html # HTML/JS application for WebRTC\n├── main.tsx # Main entrypoint for the val.town app\n└── routes/\n |\n ├── agent.ts # Realtime API session configuration and tools\n ├── observer.ts # Server-side session control for SIP & WebRTC\n ├── rtc.ts # WebRTC session setup\n ├── sip.ts # SIP webhook handling and session setup\n └── utils.ts # Various HTTP helpers\n```\n\n## File Links\n\n- [`frontend/index.html`](./frontend/index.html)\n- [`main.tsx`](./main.tsx)\n- [`routes/agent.ts`](./routes/agent.ts)\n- [`routes/observer.ts`](./routes/observer.ts)\n- [`routes/rtc.ts`](./routes/rtc.ts)\n- [`routes/sip.ts`](./routes/sip.ts)\n- [`routes/utils.ts`](./routes/utils.ts)",[158],"ab1f784a-bb74-11f0-bfa0-42dde27851f2","routes","019a5bd1-1741-76ad-96c4-969fe8b2c77a",["D",1762477020968],"directory",[164],"ab1f692c-bb74-11f0-bfa0-42dde27851f2","frontend","019a5bd1-1741-76ad-96c4-7f83ca3a792b",["D",1762477020968],[170],"pulls","branches","forks","envVars",{"_181":183,"_184":63},"connections",{"_181":63,"_182":63},"count","unfilledCount",3,"emptyCount",{"_44":169,"_32":170,"_30":171,"_149":-5,"_42":43,"_41":150,"_151":59,"_39":257,"_13":63,"_34":167,"_36":-5,"_24":25,"_155":-5,"_197":258,"_27":259},{"_44":250,"_32":251,"_30":252,"_149":171,"_42":43,"_41":150,"_151":59,"_39":253,"_13":63,"_34":20,"_36":254,"_24":25,"_155":-5,"_197":255,"_27":256},{"_44":163,"_32":164,"_30":165,"_149":-5,"_42":43,"_41":150,"_151":59,"_39":247,"_13":63,"_34":167,"_36":-5,"_24":25,"_155":-5,"_197":248,"_27":249},{"_44":238,"_32":239,"_30":240,"_149":165,"_42":43,"_41":241,"_151":25,"_39":242,"_13":243,"_34":35,"_36":244,"_24":25,"_155":-5,"_197":245,"_27":246},{"_44":233,"_32":33,"_30":31,"_149":165,"_42":43,"_41":14,"_151":25,"_39":234,"_13":235,"_34":35,"_36":38,"_24":25,"_155":-5,"_197":236,"_27":237},{"_44":226,"_32":227,"_30":228,"_149":165,"_42":43,"_41":150,"_151":59,"_39":229,"_13":63,"_34":35,"_36":230,"_24":25,"_155":-5,"_197":231,"_27":232},{"_44":219,"_32":220,"_30":221,"_149":165,"_42":43,"_41":150,"_151":59,"_39":222,"_13":63,"_34":35,"_36":223,"_24":25,"_155":-5,"_197":224,"_27":225},{"_44":210,"_32":211,"_30":212,"_149":165,"_42":43,"_41":213,"_151":25,"_39":214,"_13":215,"_34":35,"_36":216,"_24":25,"_155":-5,"_197":217,"_27":218},{"_44":203,"_32":204,"_30":205,"_149":165,"_42":43,"_41":150,"_151":59,"_39":206,"_13":63,"_34":35,"_36":207,"_24":25,"_155":-5,"_197":208,"_27":209},{"_44":157,"_32":158,"_30":159,"_149":-5,"_42":43,"_41":150,"_151":59,"_39":200,"_13":63,"_34":20,"_36":161,"_24":25,"_155":-5,"_197":201,"_27":202},{"_44":147,"_32":148,"_30":57,"_149":-5,"_42":43,"_41":150,"_151":59,"_39":196,"_13":63,"_34":153,"_36":154,"_24":25,"_155":46,"_197":198,"_27":199},["D",1762477020968],"children",[],[148],["D",1762477020968],[],[158],"ab1f75f2-bb74-11f0-bfa0-42dde27851f2","utils.ts","019a5bd1-1741-76ad-96c4-918a43fca263",["D",1762477020968],"const REALTIME_BASE_URL = \"https://api.openai.com/v1/realtime\";\nconst OPENAI_API_KEY = Deno.env.get(\"OPENAI_API_KEY\");\nif (!OPENAI_API_KEY) {\n throw new Error(\"🔴 OpenAI API key not configured\");\n}\n\n// Builds the URL for a Realtime API endpoint.\nexport function makeUrl(callId?: string, action?: string) {\n let url = REALTIME_BASE_URL;\n if (!callId) {\n // start call (POST)\n url += \"/calls\";\n } else if (action) {\n // accept, reject, hangup (POST)\n url += `/calls/${callId}/${action}`;\n } else {\n // observer (web socket)\n url += `?call_id=${callId}`;\n }\n return url;\n}\n\n// Builds the headers for a Realtime API endpoint.\nexport function makeHeaders(contentType?: string) {\n const obj: Record = {\n Authorization: `Bearer ${OPENAI_API_KEY}`,\n };\n if (contentType) obj[\"Content-Type\"] = contentType;\n return obj;\n}\n\n// Debug helper for printing Realtime API errors.\nexport async function getErrorText(resp: Response) {\n const errBody = await resp.text().catch(() => \"\");\n return `${resp.status} ${resp.statusText}: ${errBody}`;\n}",[],[164,204],"f23dec2a-bdfe-11f0-a4dc-42dde27851f2","sound.ts","c16a11e4-bdd8-11f0-969c-42dde27851f2",79,["D",1762756313184],49,"export async function searchFreesound(query: string): Promise {\n const apiKey = Deno.env.get(\"FREESOUND_API_KEY\");\n if (!apiKey) {\n throw new Error(\"Freesound API key not configured\");\n }\n\n const searchUrl = `https://freesound.org/apiv2/search/text/?query=${\n encodeURIComponent(query)\n }&token=${apiKey}&fields=id,name,username,duration&page_size=1`;\n const searchResponse = await fetch(searchUrl);\n if (!searchResponse.ok) {\n throw new Error(`Search failed: ${searchResponse.status}`);\n }\n\n const searchData = await searchResponse.json();\n if (!searchData.results || searchData.results.length === 0) {\n throw new Error(\"No results found\");\n }\n\n const sound = searchData.results[0];\n const detailUrl =\n `https://freesound.org/apiv2/sounds/${sound.id}/?token=${apiKey}&fields=id,name,username,duration,previews`;\n const detailResponse = await fetch(detailUrl);\n if (!detailResponse.ok) {\n throw new Error(`Detail fetch failed: ${detailResponse.status}`);\n }\n\n const detailData = await detailResponse.json();\n const previewUrl = detailData.previews[\"preview-hq-mp3\"] ||\n detailData.previews[\"preview-lq-mp3\"] ||\n detailData.previews[\"preview-hq-ogg\"] ||\n detailData.previews[\"preview-lq-ogg\"];\n if (!previewUrl) {\n throw new Error(\"No preview URL\");\n }\n\n return previewUrl;\n}\n\nimport { MPEGDecoder } from \"npm:mpg123-decoder\";\n\nexport async function mp3ToPcm24k(\n url: string,\n onChunk: (pcm: Int16Array) => void,\n opts: { chunkMs?: number } = {},\n) {\n const chunkMs = opts.chunkMs ?? 20;\n\n // 1. Fetch MP3\n const resp = await fetch(url);\n if (!resp.ok) throw new Error(\"MP3 fetch failed\");\n const mp3Bytes = new Uint8Array(await resp.arrayBuffer());\n\n // 2. Decode with mpg123\n const decoder = new MPEGDecoder();\n await decoder.ready;\n const result = decoder.decode(mp3Bytes);\n\n const { channelData, sampleRate } = result;\n const channels = channelData.length; // 1 or 2 typically\n\n // 3) Interleave channels → Float32 PCM\n const interleaved = interleave(channelData);\n\n // 4) Convert float32 [-1, 1] → s16\n const s16 = floatToS16(interleaved);\n\n // 5) Resample s16 → 24 kHz\n const pcm24 = resampleS16(s16, sampleRate, 24000, channels);\n\n // 6) Chunk by milliseconds (default 20ms)\n const framesPerChunk = Math.floor(24000 * (chunkMs / 1000));\n const samplesPerChunk = framesPerChunk * channels;\n\n for (let i = 0; i < pcm24.length; i += samplesPerChunk) {\n const chunk = pcm24.subarray(\n i,\n Math.min(i + samplesPerChunk, pcm24.length),\n );\n onChunk(chunk);\n }\n}\n\n// --------------------------------------------------------------\n// Helpers\n// --------------------------------------------------------------\n\nfunction interleave(channels: Float32Array[]): Float32Array {\n if (channels.length === 1) return channels[0]; // mono passthrough\n\n const frames = channels[0].length;\n const ch = channels.length;\n const out = new Float32Array(frames * ch);\n\n let o = 0;\n for (let i = 0; i < frames; i++) {\n for (let c = 0; c < ch; c++) {\n out[o++] = channels[c][i];\n }\n }\n return out;\n}\n\nfunction floatToS16(f32: Float32Array): Int16Array {\n const out = new Int16Array(f32.length);\n for (let i = 0; i < f32.length; i++) {\n const v = Math.max(-1, Math.min(1, f32[i]));\n out[i] = v < 0 ? v * 0x8000 : v * 0x7fff;\n }\n return out;\n}\n\nfunction resampleS16(\n input: Int16Array,\n inRate: number,\n outRate: number,\n channels: number,\n): Int16Array {\n if (inRate === outRate) return input;\n\n const ratio = outRate / inRate;\n const outLength = Math.floor(input.length * ratio);\n const out = new Int16Array(outLength);\n\n for (let i = 0; i < outLength / channels; i++) {\n const pos = i / ratio;\n const i0 = Math.floor(pos);\n const frac = pos - i0;\n\n for (let ch = 0; ch < channels; ch++) {\n const a = input[i0 * channels + ch] ?? 0;\n const b = input[Math.min((i0 + 1) * channels + ch, input.length - 1)] ??\n 0;\n out[i * channels + ch] = (a + (b - a) * frac) | 0;\n }\n }\n\n return out;\n}\n/*\nmp3ToPcm24k(\n \"https://cdn.freesound.org/previews/451/451531_612689-hq.mp3\",\n (x) => {\n console.log(x);\n },\n);*/",[],[164,211],"ab1f7322-bb74-11f0-bfa0-42dde27851f2","sip.ts","019a5bd1-1741-76ad-96c4-8edf4a3099e5",["D",1762477020968],"import { Hono } from \"npm:hono\";\nimport { Webhook } from \"npm:svix\";\nimport { makeSession } from \"./agent.ts\";\nimport { getErrorText, makeHeaders, makeUrl } from \"./utils.ts\";\n\nconst sip = new Hono();\n\n// POST /sip : webhook endpoint\nsip.post(\"/\", async (c) => {\n // Verify the webhook.\n const OPENAI_SIGNING_SECRET = Deno.env.get(\"OPENAI_SIGNING_SECRET\");\n if (!OPENAI_SIGNING_SECRET) {\n console.error(\"🔴 webhook secret not configured\");\n return c.text(\"Internal error\", 500);\n }\n const webhook = new Webhook(OPENAI_SIGNING_SECRET);\n const bodyStr = await c.req.text();\n let callId: string | undefined;\n let toNumber: string | undefined;\n try {\n const headers = Object.fromEntries(c.req.raw.headers.entries());\n const payload: any = webhook.verify(bodyStr, headers);\n callId = payload.data.call_id;\n toNumber = getToNumber(payload.data.sip_headers);\n const fromNumber = getFromNumber(payload.data.sip_headers);\n console.log(\"✅ verified webhook:\", callId, fromNumber, toNumber);\n } catch (error) {\n console.error(`🔴 verify failed: ${error}`);\n return c.text(\"Invalid signature\", 401);\n }\n\n // Accept the call.\n const model = getModelForNumber(toNumber);\n const url = makeUrl(callId, \"accept\");\n const headers = makeHeaders(\"application/json\");\n const body = JSON.stringify(makeSession(model));\n const opts = { method: \"POST\", headers, body };\n const resp = await fetch(url, opts);\n if (!resp.ok) {\n console.error(`🔴 accept failed: ${await getErrorText(resp)}`);\n return c.text(\"Internal error\", 500);\n }\n console.log(\"✅ call accepted:\", callId);\n\n // Kick off observer in the background (fire-and-forget).\n const selfUrl = new URL(c.req.url);\n fetch(`${selfUrl.origin}/observer/${callId}`, { method: \"POST\" })\n .catch((e) => console.error(\"observer start failed:\", e));\n\n return c.newResponse(null);\n});\n\nconst getToNumber = headers => getNumberFromSipHeader(headers, \"to\");\nconst getFromNumber = headers => getNumberFromSipHeader(headers, \"from\");\n\nfunction getNumberFromSipHeader(headers: any, name: string) {\n const header = getSipHeader(headers, name);\n const match = header?.match(/sip:\\+?(\\d+)@/);\n return match ? `+${match[1]}` : undefined;\n}\n\nfunction getSipHeader(headers: any, name: string) {\n return headers.find((h) => h.name.toLowerCase() === name)?.value;\n}\n\nfunction getModelForNumber(number: string) {\n const map = { \"+14258000074\": \"gpt-realtime-mini\" };\n return map[number];\n}\n\nexport default sip;",[],[164,220],"ab1f70ca-bb74-11f0-bfa0-42dde27851f2","rtc.ts","019a5bd1-1741-76ad-96c4-8848e15ad164",["D",1762477020968],"import { Hono } from \"npm:hono\";\nimport { makeSession } from \"./agent.ts\";\nimport { getErrorText, makeHeaders, makeUrl } from \"./utils.ts\";\n\nconst rtc = new Hono();\n\n// POST /rtc : create a new call\nrtc.post(\"/\", async (c) => {\n // Extract model parameter from URL if provided\n const model = c.req.query(\"model\");\n if (model !== undefined) {\n console.log(\"🔧 Model parameter received:\", model);\n }\n \n // Create the call.\n const fd = new FormData();\n fd.set(\"sdp\", await c.req.text());\n fd.set(\"session\", JSON.stringify(makeSession(model)));\n const opts = { method: \"POST\", headers: makeHeaders(), body: fd };\n const resp = await fetch(makeUrl(), opts);\n if (!resp.ok) {\n console.error(`🔴 start call failed: ${await getErrorText(resp)}`);\n return c.text(\"Internal error\", 500);\n }\n\n const contentType = resp.headers.get(\"Content-Type\");\n const location = resp.headers.get(\"Location\");\n const callId = location?.split(\"/\").pop();\n console.log(\"✅ call created:\", callId);\n\n // Kick off observer in the background (fire-and-forget).\n const selfUrl = new URL(c.req.url);\n fetch(`${selfUrl.origin}/observer/${callId}`, { method: \"POST\" })\n .catch((e) => console.error(\"observer start failed:\", e));\n\n const responseHeaders = {\n \"Content-Type\": contentType,\n \"Location\": location,\n };\n return c.newResponse(resp.body, { headers: responseHeaders });\n});\n\nexport default rtc;",[],[164,227],"f679a7a0-bf81-11f0-ae44-42dde27851f2",["D",1762922535522],6,[],[164,33],"9fdac776-bf81-11f0-8bb7-42dde27851f2","agent.ts","019a5bd1-1741-76ad-96c4-8125dc25488c",86,["D",1762922390195],30,"import { ObserverClient, ObserverHandler } from \"./observer.ts\";\nimport { getErrorText, makeHeaders, makeUrl } from \"./utils.ts\";\nimport { mp3ToPcm24k, searchFreesound } from \"./sound.ts\";\n\nconst MODEL = \"gpt-realtime\";\nconst TRANSCRIBE_MODEL = \"gpt-4o-transcribe\";\nconst NR_TYPE = \"near_field\";\nconst INSTRUCTIONS = `\n Greet the user with a slow, calming voice and encourage them to close their eyes and listen.\n Ask them to think of a relaxing sound. When they mention the name of a sound or an \n environment, invoke the play_sound function with the name of the sound they are looking\n for.\n When the user says goodbye or you think the call is over, say a brief goodbye and then\n invoke the end_call function.\n`;\nconst VOICE = \"marin\";\nconst HANGUP_TOOL = {\n type: \"function\",\n name: \"end_call\",\n description: `\n Use this function to hang up the call when the user says goodbye \n or otherwise indicates they are about to end the call.`,\n};\nconst PLAY_SOUND_TOOL = {\n type: \"function\",\n name: \"play_sound\",\n description: `\n Use this function to look up a sound effect by name and start\n playing it out as background audio.`,\n parameters: {\n type: \"object\",\n properties: {\n query: {\n type: \"string\",\n description: \"A search query for the Freesound API.\",\n },\n },\n required: [\"query\"],\n },\n};\nconst BUFFER_NAME = \"background\";\n\n// Builds the declarative session configuration for a Realtime API session.\nexport function makeSession(modelOverride?: string) {\n const model = modelOverride || MODEL;\n const instructions = INSTRUCTIONS.replace(\"{{model}}\", model);\n return {\n type: \"realtime\",\n model,\n instructions,\n audio: {\n input: {\n noise_reduction: { type: NR_TYPE },\n transcription: { model: TRANSCRIBE_MODEL },\n },\n output: { voice: VOICE },\n },\n tools: [HANGUP_TOOL, PLAY_SOUND_TOOL],\n };\n}\n\n// AgentHandler implements the agent runtime behavior (tool calling, etc).\nclass AgentHandler implements ObserverHandler {\n private audioActive = false;\n private callEnding = false;\n constructor(private client: ObserverClient, private callId: string) {}\n onInit() {\n // Trigger a response immediately.\n this.client.createResponse();\n /*const x = {\n type: \"response.function_call_arguments.done\",\n event_id: \"event_CaC6edkeJLkTTMM1LaaOk\",\n response_id: \"resp_CaC6bN3JBzHmvqDcNJnBP\",\n item_id: \"item_CaC6eNjnRrQngK6z6kWUG\",\n output_index: 1,\n call_id: \"call_Ipl4jJE60yC6HSVH\",\n name: \"play_sound\",\n arguments: '{ \\n \"query\": \"gentle ocean waves\" \\n} \\n',\n };*/\n\n this.onTool(x.name, JSON.parse(x.arguments));\n }\n async onTool(name: string, args: any) {\n // If audio is playing, defer the hangup until it finishes.\n // Otherwise, end the call now.\n if (name == HANGUP_TOOL.name) {\n if (this.audioActive) {\n this.callEnding = true;\n } else {\n await this.hangup();\n }\n } else if (name == PLAY_SOUND_TOOL.name) {\n console.log(`Playing sound: ${args.query}`);\n const url = await searchFreesound(args.query);\n console.log(`URL: ${url}`);\n mp3ToPcm24k(url, (pcm: Int16Array) => {\n this.client.appendOutputAudio(BUFFER_NAME, pcm);\n });\n }\n }\n async onOutputAudioStarted() {\n this.audioActive = true;\n }\n async onOutputAudioStopped() {\n // Shut down the call and websocket once audio has finished spooling.\n this.audioActive = false;\n if (this.callEnding) {\n await this.hangup();\n }\n }\n async onOutputAudioCleared() {\n this.audioActive = false;\n }\n private async hangup() {\n const url = makeUrl(this.callId, \"hangup\");\n const resp = await fetch(url, { method: \"POST\", headers: makeHeaders() });\n if (!resp.ok) {\n console.error(`🔴 end call failed: ${await getErrorText(resp)}`);\n return;\n }\n\n console.log(\"✅ call ended\");\n }\n}\n\n// Creates the runtime handler for the session.\nexport function createHandler(client: ObserverClient, callId: string) {\n return new AgentHandler(client, callId);\n}",[],[164,239],["D",1762477020968],[188,189,190,191,192,193],[164],"ab1f4e06-bb74-11f0-bfa0-42dde27851f2","index.html","019a5bd1-1741-76ad-96c4-7a26a0c5f6b8",["D",1762477020968],"\n\n \n \n \n OpenAI Realtime API Voice Agent\n \n \n \n \n\n

\n\n

\n\n \n \n",[],[170,251],["D",1762477020968],[186],[170],["D",1762477020968],{"_100":99,"_107":103},{"_100":99,"_101":-5,"_102":103,"_18":55,"_104":105,"_106":25},{"_13":86,"_32":87,"_44":43,"_88":45,"_89":90,"_91":92,"_93":51,"_94":95,"_96":65,"_97":46,"_98":99},"ctx",{"_79":-5,"_129":297,"_298":299,"_300":301,"_302":25,"_303":25,"_304":25,"_305":59,"_306":-5,"_307":-7,"_308":-7,"_309":63,"_310":25,"_311":25,"_312":-5,"_313":25,"_314":25,"_315":25,"_316":-5},"ENV",{"_268":269,"_270":271,"_272":87,"_273":274,"_275":276,"_277":278,"_279":280,"_281":282,"_283":284,"_285":286,"_287":288,"_289":290,"_291":292,"_293":294,"_295":296},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","fdb67791413f4386b4dbf18f354029a617f6160f","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Realtime Agent

Diff · v87