OpenAI Realtime API Voice Agent

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For questions outside this scope,\n apologize and say you can't help with that.\n ---\n Short summary:\n - The Realtime API is now generally available, and has improved instruction following, voice naturalness, and audio quality.\n There are two new voices and it's easier to develop for. There's also a new telephony integration for phone scenarios.\n Full list of improvements:\n - generally available (no longer in beta)\n - two new voices (Cedar and Marin)\n - improved instruction following\n - enhanced voice naturalness\n - higher audio quality\n - improved handling of alphanumerics (eg, properly understanding credit card and phone numbers)\n - support for the OpenAI Prompts API\n - support for MCP-based tools\n - auto-truncation to reduce context size\n - native telephony support, making it simple to connect voice calls to existing Realtime API applications\n - when using WebRTC, you can connect without needing an ephemeral token\n - when using WebRTC, you can now control sessions (including tool calls) from the server\n - when using WebRTC, you can now send video to the model, and it can respond based on what it sees\n - many helpful bugfixes!\n`;\nconst VOICE = \"marin\";\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 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 };\n}\n","const MODEL = \"gpt-realtime\";\nconst INSTRUCTIONS = `Greet the user in English.\nDescribe what's going on in their screen.\n`;\nconst VOICE = \"marin\";\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 makeHeaders(contentType?: string) {\n const obj: Record = {\n Authorization: `Bearer ${OPENAI_API_KEY}`,\n };\n if (contentType) obj[\"Content-Type\"] = contentType;\n return obj;\n}\n\nexport function 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{ Hono } from \"npm:hono\";\nimport {\n readFile,\n serveFile,\n} from \"https://esm.town/v/std/utils@85-main/index.ts\";\n// import mcp from \"./routes/mcp.ts\";\nimport rtc from \"./routes/rtc.ts\";\nimport observer from \"./routes/observer.ts\";\n\nconst app = new Hono();\napp.route(\"/rtc\", rtc);\napp.route(\"/observer\", observer);\n// app.route(\"/mcp\", mcp);\n\napp.get(\"/\", async (c) => {\n const html = await readFile(\"/frontend/index.html\", import.meta.url);\n return c.html(html);\n});\n\nexport default app.fetch;\n","label",[156],"8c7aff00-84d7-11f0-b6b5-0224a6c84d84","deno.json","f294aaa6-84d3-11f0-a56b-0224a6c84d84",14,["D",1756472175730],1,"{\n \"$schema\": \"https://raw.githubusercontent.com/denoland/deno/348900b8b79f4a434cab4c74b3bc8d4d2fa8ee74/cli/schemas/config-file.v1.json\",\n \"lock\": false,\n \"compilerOptions\": {\n \"noImplicitAny\": false,\n \"strict\": false,\n \"types\": [\n \"https://www.val.town/types/valtown.d.ts\"\n ],\n \"lib\": [\n \"dom\",\n \"dom.iterable\",\n \"dom.asynciterable\",\n \"deno.ns\",\n \"deno.unstable\"\n ]\n },\n \"lint\": {\n \"files\": {\n \"include\": [\n \"deno:/https/esm.town/**/*\"\n ]\n },\n \"rules\": {\n \"exclude\": [\n \"no-explicit-any\"\n ]\n }\n },\n \"node_modules_dir\": false,\n \"experimental\": {\n \"unstable-node-globals\": true,\n \"unstable-temporal\": true,\n \"unstable-worker-options\": true,\n \"unstable-sloppy-imports\": true\n }\n}\n",[166],"8cad8d3a-84d7-11f0-a818-0224a6c84d84","README.md","0198f5be-4c71-73ea-a6c2-b95cbba37441",19,["D",1756472175818],2,"# hello-realtime\n\nHello Realtime is a complete OpenAI Realtime application that supports WebRTC\nusers. You can access the app via WebRTC at https://hello-realtime.val.run.\n\nThis demo shows off the new all-in-one WebRTC API and the new server-side\nwebsocket interface.\n\nIf you remix the app, you'll just need to pop in your own OPENAI_API_KEY (from\nplatform.openai.com).\n",[174],"00dfe99e-84da-11f0-af95-0224a6c84d84","CLAUDE.md","f29f7364-84d3-11f0-9fef-0224a6c84d84",24,["D",1756473230055],"# CLAUDE.md\n\nThis file provides guidance to Claude Code (claude.ai/code) when working with\ncode in this repository.\n\n## Project Overview\n\nHello Realtime is an OpenAI Realtime API demo application supporting WebRTC\nusers. It's built on Val Town's Deno runtime with TypeScript and uses the Hono\nframework for routing.\n\n## Commands\n\n### Development\n\n- **Run locally**: Deploy to Val Town platform - no local dev server\n- **Test deployment**: Visit https://hello-realtime.val.run for WebRTC\n- **Format** Run `deno fmt`\n\n## Architecture\n\n### Core Components\n\n1. **Main Entry Point** (`main.tsx`)\n - Hono app with route mounting\n - Routes: `/rtc`, `/sip`, `/observer`\n - Serves frontend from `/frontend/index.html`\n\n2. **WebRTC Route** (`routes/rtc.ts`)\n - Creates OpenAI Realtime calls via POST to `/rtc`\n - Handles SDP offer/answer exchange\n - Triggers observer WebSocket connection\n\n3. **Observer Route** (`routes/observer.ts`)\n - Establishes WebSocket connection to OpenAI\n - Monitors call events and transcripts\n - Auto-sends `response.create` after connection\n\n4. **Utilities** (`routes/utils.ts`)\n - `makeHeaders()`: Adds OpenAI API authentication\n - `makeSession()`: Configures Realtime session with model, instructions, and\n voice settings\n\n### Frontend\n\n- Single-page vanilla JavaScript application (`frontend/index.html`)\n- WebRTC peer connection management\n- Real-time status indicators and logging\n- No external dependencies or build process\n\n## Environment Variables\n\nRequired:\n\n- `OPENAI_API_KEY`: For all OpenAI API calls\n- `OPENAI_SIGNING_SECRET`: Required for SIP webhook verification (optional if\n only using WebRTC)\n\n## Val Town Specifics\n\n- Uses Val Town's file reading utilities from\n `https://esm.town/v/std/utils@85-main/index.ts`\n- Deno runtime with TypeScript support\n- No local development server - deploy directly to Val Town\n- Import npm packages via `npm:` prefix (e.g., `npm:hono`)\n\n## Key Implementation Details\n\n- OpenAI Realtime model: `gpt-realtime`\n- Voice: `marin` (configurable in utils.ts)\n- Audio configuration includes noise reduction for near-field devices\n- WebSocket messages are logged except for audio transcript 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{ Hono } from \"npm:hono\";\nimport { makeHeaders, makeSession } 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 url = \"https://api.openai.com/v1/realtime/calls\";\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, body: fd };\n const resp = await fetch(url, opts);\n if (!resp.ok) {\n const errText = await resp.text().catch(() => \"\");\n console.error(`🔴 start call failed: ${resp.status} ${errText}`);\n return c.text(\"Internal error\", 500);\n }\n\n const contentType = resp.headers.get(\"Content-Type\");\n const location = resp.headers.get(\"Location\");\n const callId = location?.split(\"/\").pop();\n console.log(\"✅ call created:\", callId);\n\n // Kick off observer in the background (fire-and-forget).\n const selfUrl = new URL(c.req.url);\n fetch(`${selfUrl.origin}/observer/${callId}`, { method: \"POST\" });\n\n return c.newResponse(resp.body, {\n headers: { \"Content-Type\": contentType },\n });\n});\n\nexport default rtc;\n",[],[204,267],"8c9a6d90-84d7-11f0-9e8b-0224a6c84d84","observer.ts","0198f5be-4c71-73ea-a6c2-a6772b8df5d1",18,["D",1756472175938],"import { Hono } from \"npm:hono\";\nimport WebSocket from \"npm:ws\";\nimport { makeHeaders } from \"./utils.ts\";\n\nconst observer = new Hono();\n\n// POST /observer/:callId : self-connect to establish a web socket\nobserver.post(\"/:callId\", async (c) => {\n const callId = c.req.param(\"callId\");\n const url = `wss://api.openai.com/v1/realtime?call_id=${callId}`;\n const ws = new WebSocket(url, { headers: makeHeaders() });\n ws.on(\"open\", () => {\n console.log(\"✅ websocket connected\");\n setTimeout(() => ws.send(JSON.stringify({ type: \"response.create\" })), 250);\n });\n ws.on(\"message\", (data /*, isBinary */) => {\n const message = JSON.parse(data);\n if (message.type !== \"response.audio_transcript.delta\") {\n console.log(message);\n }\n });\n ws.on(\"error\", (err: Error) => {\n console.error(`🔴 websocket failed: ${err.message}`);\n });\n\n // Respond immediately; WS continues in background\n return c.newResponse(null);\n});\n\nexport default observer;\n",[],[204,275],["D",1756469545982],[234,235,236],[204],"d98ee918-84d8-11f0-8b30-0224a6c84d84","index.html","0198f5be-4c71-73ea-a6c2-9dae2b318c02",20,["D",1756472734607],"\n\n \n \n \n OpenAI Realtime API Voice Agent\n \n \n \n \n\n

\n\n

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Realtime Agent

Diff · v27