OpenAI Realtime API Voice Agent

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\n\n

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You can access the app via WebRTC at\n[hello-realtime.val.run](https://hello-realtime.val.run), or via SIP by calling 425-800-0042.\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 `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- `GET /` - serves the WebRTC-based app\n- `POST /rtc` - creates a new WebRTC-based Realtime API session\n- `POST /sip` - handles an incoming Realtime API SIP call\n- `POST /observer` - internal endpoint to establish a Realtime API websocket for 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 |── 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 # Realtime API session configuration and helpers\n```\n\n- [`frontend/index.html`](./frontend/index.html)\n- [`main.tsx`](./main.tsx)\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)",[],[98],"996e6a7a-984c-11f0-a92d-0224a6c84d84","routes","0199756a-3ce9-746d-98e0-bd276ccb8b72",["D",1758611520662],[110,111,112,113],[105],{"_36":137,"_13":138,"_64":139,"_66":106,"_68":69,"_70":32,"_71":72,"_38":140,"_17":34,"_74":119,"_75":141,"_77":53,"_78":-5,"_94":142,"_18":143},{"_36":130,"_13":131,"_64":132,"_66":106,"_68":69,"_70":32,"_71":72,"_38":133,"_17":34,"_74":119,"_75":134,"_77":53,"_78":-5,"_94":135,"_18":136},{"_36":123,"_13":124,"_64":125,"_66":106,"_68":69,"_70":32,"_71":72,"_38":126,"_17":34,"_74":119,"_75":127,"_77":53,"_78":-5,"_94":128,"_18":129},{"_36":114,"_13":115,"_64":116,"_66":106,"_68":69,"_70":117,"_71":72,"_38":118,"_17":32,"_74":119,"_75":120,"_77":53,"_78":-5,"_94":121,"_18":122},"6eea2d26-99d6-11f0-91be-0224a6c84d84","utils.ts","0199756a-3ce9-746d-98e0-bb1b94a7a0ac",2,["D",1758780671122],"script","const REALTIME_BASE_URL = \"https://api.openai.com/v1/realtime\";\nconst MODEL = \"gpt-realtime\";\nconst INSTRUCTIONS = `\nYou are ゲームカレッジのAI 先生. When the session starts, introduce yourself and your purpose. You are a friendly and helpful AI assistant specializing in teaching English to Japanese speakers. Your primary language of communication is Japanese. However, when you provide English examples, translations, or demonstrate pronunciation, you must use clear, standard American English.\n\nYour main goal is to proactively help the user learn and practice English by observing their screen and listening to them. Analyze the screenshots and the user's speech to understand their activity (e.g., browsing, writing, playing a game). Based on this context, offer tips, vocabulary, grammar corrections, and encouragement in a natural, conversational way.\n\nA key part of your role is to ensure the user is actively learning from every interaction. Encourage them to speak and practice English phrases relevant to what they are doing. For example, if they are playing a game, suggest useful phrases they could use in that game and encourage them to say them out loud.\n\nFor example:\n- If the user is writing an email, you could suggest more natural phrasing and ask them to read it aloud.\n- If they are browsing a website, you could explain a difficult word or phrase and then ask them to use it in a sentence.\n- If they are practicing speaking, provide feedback on their pronunciation or word choice.\n- If they are playing a game, identify key actions or situations and teach them related English phrases. Then, prompt them: \"Try saying 'I'm going to capture the flag!' Can you repeat that for practice?\"\n\nAlways maintain a warm, friendly, and patient tone. Make the user feel comfortable and motivated to learn. You are their personal English tutor. You can also help with general tasks if asked.\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};\n\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\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\nexport function makeHeaders(contentType?: string) {\n const obj: Record = {\n Authorization: `Bearer ${OPENAI_API_KEY}`,\n };\n if (contentType) obj[\"Content-Type\"] = contentType;\n return obj;\n}\n\nexport function makeSession() {\n return {\n type: \"realtime\",\n model: MODEL,\n instructions: INSTRUCTIONS,\n audio: {\n input: { noise_reduction: { type: \"near_field\" } },\n output: { voice: VOICE },\n },\n tools: [HANGUP_TOOL],\n };\n}\n\nexport async function getErrorText(resp: Response) {\n const errBody = await resp.text().catch(() => \"\");\n return `${resp.status} ${resp.statusText}: ${errBody}`;\n}",[],[105,115],"996e6552-984c-11f0-a92d-0224a6c84d84","sip.ts","0199756a-3ce9-746d-98e0-b7ccb5752770",["D",1758611520662],"import { Hono } from \"npm:hono\";\nimport { Webhook } from \"npm:svix\";\nimport { getErrorText, makeHeaders, makeSession, 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 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 console.log(\"✅ verified webhook:\", callId);\n } catch (error) {\n console.error(`🔴 verify failed: ${error}`);\n return c.text(\"Invalid signature\", 401);\n }\n\n // Accept the call.\n const url = makeUrl(callId, \"accept\");\n const headers = makeHeaders(\"application/json\");\n const body = JSON.stringify(makeSession());\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\nexport default sip;",[],[105,124],"996e6340-984c-11f0-a92d-0224a6c84d84","rtc.ts","0199756a-3ce9-746d-98e0-b0116124dc3b",["D",1758611520662],"import { Hono } from \"npm:hono\";\nimport { getErrorText, makeHeaders, makeSession, makeUrl } from \"./utils.ts\";\n\nconst rtc = new Hono();\n\n// POST /rtc : create a new call\nrtc.post(\"/\", async (c) => {\n // Create the call.\n const headers = makeHeaders();\n const fd = new FormData();\n fd.set(\"sdp\", await c.req.text());\n fd.set(\"session\", JSON.stringify(makeSession()));\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;",[],[105,131],"996e5f80-984c-11f0-a92d-0224a6c84d84","observer.ts","0199756a-3ce9-746d-98e0-af0314f4b328",["D",1758611520662],"import { Hono } from \"npm:hono\";\nimport WebSocket from \"npm:ws\";\nimport { getErrorText, makeHeaders, makeUrl } from \"./utils.ts\";\n\nconst observer = new Hono();\n\n// POST /observer/:callId : self-connect to establish a web socket\nobserver.post(\"/:callId\", async 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