OpenAI Realtime API Voice Agent

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{ 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/${callId}`, { method: \"POST\" })\n .catch((e) => console.error(\"observer start failed:\", e));\n\n const responseHeaders = {\n \"Content-Type\": contentType,\n \"Location\": location,\n };\n return c.newResponse(resp.body, { headers: responseHeaders });\n});\n\nexport default rtc;","import { Hono } from \"npm:hono\";\nimport { makeSession } from \"./agent.ts\";\nimport { getErrorText, makeHeaders, makeUrl } from \"./utils.ts\";\n\nconst rtc = new Hono();\n\n// POST /rtc : create a new GPT-Live WebRTC session\nrtc.post(\"/\", async (c) => {\n // Create the session: JSON body with the session config and the SDP offer.\n const body = JSON.stringify({\n session: makeSession(),\n transport: { type: \"webrtc\", sdp: await c.req.text() },\n });\n const opts = { method: \"POST\", headers: makeHeaders(\"application/json\"), body };\n 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{ Hono } from \"npm:hono\";\nimport { blob } from \"https://esm.town/v/std/blob\";\nimport { parseVal, serveFile } from \"https://esm.town/v/std/utils/index.ts\";\n// import mcp from \"./routes/mcp.ts\";\nimport rtc from \"./routes/rtc.ts\";\nimport sip from \"./routes/sip.ts\";\nimport observer from \"./routes/observer.ts\";\n\nconst SOURCE_URL = parseVal(Deno.env.get(\"VALTOWN_ENTRYPOINT\")).links.self.val;\n\nconst app = new Hono();\napp.route(\"/rtc\", rtc);\napp.route(\"/sip\", sip);\napp.route(\"/observer\", observer);\n// app.route(\"/mcp\", mcp);\napp.get(\"/source\", (c) => c.redirect(SOURCE_URL));\n\napp.get(\"/\", () => serveFile(\"/frontend/index.html\", import.meta.url));\napp.get(\"/favicon.ico\", async (c) => {\n const entry = parseVal(Deno.env.get(\"VALTOWN_ENTRYPOINT\"));\n const file = await blob.get(`${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",[153],"aa16d351-f9f0-4be7-a35c-c8f8bea3aad3","README.md","01a08d52-52ea-7194-86c2-02433b79a9a3",["D",1789077377613],"# 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- 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LIVE_BASE_URL = \"https://api.openai.com/v1/live/sessions\";\nconst LIVE_WS_URL = \"wss://api.openai.com/v1/live/sessions\";\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 GPT-Live API endpoint.\nexport function makeUrl(sessionId?: string, action?: string) {\n if (!sessionId) {\n // create session (POST, WebRTC)\n return LIVE_BASE_URL;\n }\n if (action) {\n // accept, reject, hangup, refer (POST)\n return `${LIVE_BASE_URL}/${sessionId}/${action}`;\n }\n // sideband observer (web socket)\n return `${LIVE_WS_URL}/${sessionId}/attach`;\n}\n\n// Builds the headers for a GPT-Live API endpoint.\nexport function makeHeaders(contentType?: string) {\n const obj: Record = {\n Authorization: `Bearer ${OPENAI_API_KEY}`,\n };\n if (contentType) obj[\"Content-Type\"] = contentType;\n return obj;\n}\n\n// Debug helper for printing GPT-Live API errors.\nexport async function getErrorText(resp: Response) {\n const errBody = await resp.text().catch(() => \"\");\n return `${resp.status} ${resp.statusText}: ${errBody}`;\n}\n",[],[169,208],"a78d3702-c239-490a-b4ea-8cc4855d130b","sip.ts","01a08d52-52ea-7194-86c1-f5950ae11dab",["D",1789077377613],"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;",[],[169,215],"79541d33-5428-4e63-9cf5-e80266ec9e0c",["D",1789089296042],[],[169,39],"bbe17e4b-89c4-4328-9dc4-ab13ddf1a9a1","observer.ts","01a08d52-52ea-7194-86c1-ef7b6e72cd3b",4,["D",1789089296006],"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, callId: string): void;\n onOutputAudioStarted(): void;\n onOutputAudioStopped(): void;\n onOutputAudioCleared(): void;\n}\n\n// ObserverClient attaches a sideband websocket to an existing GPT-Live session.\nexport class ObserverClient {\n private ws: WebSocket;\n private closeResolve: () => void;\n private closePromise: Promise;\n private handler: ObserverHandler;\n\n constructor(sessionId: string) {\n const url = makeUrl(sessionId);\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, sessionId);\n }\n // Starts or continues delegated backend (Responses) work.\n createResponse() {\n this.sendMessage({ type: \"response.create\" });\n }\n // Returns a function call result to the delegated backend.\n sendToolResult(callId: string, output: string) {\n this.sendMessage({\n type: \"response.item.create\",\n item: { type: \"function_call_output\", call_id: callId, output },\n });\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 // The session is already running; do not send session.start.\n console.log(\"✅ websocket connected\");\n this.handler.onInit();\n }\n private async handleMessage(message: any) {\n // Ignore verbose messages (top-level deltas and nested Responses deltas).\n const isDelta = message.type?.endsWith(\".delta\") ||\n message.event?.type?.endsWith(\".delta\");\n if (!isDelta) {\n console.log(message);\n }\n switch (message.type) {\n case \"response.event\": {\n // Nested Responses events arrive wrapped in an envelope.\n const inner = message.event;\n if (\n inner?.type === \"response.output_item.done\" &&\n inner.item?.type === \"function_call\"\n ) {\n this.handler.onTool(\n inner.item.name,\n inner.item.arguments,\n inner.item.call_id,\n );\n }\n break;\n }\n case \"session.closed\":\n console.log(\n `session closed: reason=${message.reason} usage=${\n JSON.stringify(message.usage)\n }`,\n );\n break;\n case \"error\":\n console.error(`🔴 session error: ${JSON.stringify(message.error)}`);\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/:sessionId : self-connect to establish a sideband web socket\nobserver.post(\"/:sessionId\", async (c) => {\n const sessionId = c.req.param(\"sessionId\");\n const client = new ObserverClient(sessionId);\n await client.waitForClose();\n return c.newResponse(null);\n});\n\nexport default observer;\n",[],[169,226],"6804523f-68d3-4129-ab04-6706c1c27013","agent.ts","01a08d52-52ea-7194-86c1-ea635a7ced70",3,["D",1789089295958],"import { ObserverClient, ObserverHandler } from \"./observer.ts\";\nimport { getErrorText, makeHeaders, makeUrl } from \"./utils.ts\";\n\nconst MODEL = \"gpt-live-1\";\nconst BACKEND_MODEL = \"gpt-5.6-luna\";\nconst VOICE = \"marin\";\n\n// Instructions for the GPT-Live voice model: conversation style + when to delegate.\nconst INSTRUCTIONS = `\n As soon as the session starts, without waiting for the user to speak, greet the user in English\n and tell them that they're using GPT-Live, powered by the ${MODEL} model.\n Give them a very brief summary of the benefits of GPT-Live based on the details below,\n and then ask if they have any questions.\n When the user says goodbye or you think the call is over, say a brief goodbye and then\n ask the backend to end the call.\n ---\n GPT-Live is full duplex: it can listen while it speaks, so conversations feel natural.\n It handles the spoken conversation while a separate backend model handles reasoning and tools,\n so the conversation keeps flowing while that work runs in the background.\n`;\n\n// Instructions for the delegated Responses backend: business rules + tool use.\nconst BACKEND_INSTRUCTIONS = `\n You support a live voice conversation. Keep results short and factual.\n When asked to end the call, call the end_call function.\n`;\n\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 parameters: { type: \"object\", properties: {}, additionalProperties: false },\n};\n\n// Builds the declarative session configuration for a GPT-Live session.\nexport function makeSession() {\n return {\n model: MODEL,\n instructions: INSTRUCTIONS,\n audio: { output: { voice: VOICE } },\n delegation: {\n type: \"responses\",\n responses: {\n model: BACKEND_MODEL,\n instructions: BACKEND_INSTRUCTIONS,\n tools: [HANGUP_TOOL],\n tool_choice: \"auto\",\n parallel_tool_calls: false,\n },\n },\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 sessionId: string) {}\n onInit() {\n // Nothing to do: the greeting is baked into the session instructions.\n }\n async onTool(name: string, _args: any, callId: string) {\n if (name == HANGUP_TOOL.name) {\n // Return the tool result and let the backend response finish.\n this.client.sendToolResult(callId, JSON.stringify({ status: \"ok\" }));\n this.client.createResponse();\n // If audio is playing, defer the hangup until it finishes.\n // Otherwise, end the call now.\n if (this.audioActive) {\n this.callEnding = true;\n } else {\n await this.hangup();\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.sessionId, \"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, sessionId: string) {\n return new AgentHandler(client, sessionId);\n}\n",[],[169,234],["D",1789077377613],[193,194,195,196,197],[169],"8dbb26ef-7799-4ff5-b578-6e42a986b8d0","index.html","01a08d52-52ea-7194-86c1-e2418c390e45",["D",1789077377613],"\n\n \n \n \n OpenAI Realtime API Voice Agent\n \n \n \n \n\n

\n\n

\n\n \n \n",[],[175,245],["D",1789077377613],[191],[175],["D",1789077377613],{"_107":106,"_114":110},{"_107":106,"_108":-5,"_109":110,"_19":62,"_111":112,"_113":31},{"_13":93,"_38":94,"_50":49,"_95":51,"_96":97,"_98":99,"_100":57,"_101":102,"_103":72,"_104":52,"_105":106},"ctx",{"_86":-5,"_136":291,"_292":293,"_294":295,"_296":31,"_297":31,"_298":31,"_299":66,"_300":-5,"_301":-7,"_302":-7,"_303":157,"_304":31,"_305":31,"_306":-5,"_307":31,"_308":31,"_309":31,"_310":-5},"ENV",{"_262":263,"_264":265,"_266":94,"_267":268,"_269":270,"_271":272,"_273":274,"_275":276,"_277":278,"_279":280,"_281":282,"_283":284,"_285":286,"_287":288,"_289":290},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","899124c68db8496248a17ee95f074b807335ea7b","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 · v5