OpenAI Realtime API Voice Agent

[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_264":265,"_266":267},"routes/_app.x.$handle.$name",{"_100":99,"_32":46,"_108":87,"_27":109,"_13":14,"_110":-5,"_11":111,"_112":113,"_114":115,"_116":117,"_118":119,"_20":-5,"_120":121,"_122":123,"_124":25,"_125":126,"_127":59,"_128":-5,"_129":-5,"_130":131},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_44":45,"_32":46,"_39":47,"_48":-5,"_49":25,"_50":51,"_52":51,"_53":-5,"_54":-5,"_18":55,"_56":57,"_58":59,"_60":59,"_61":-5,"_62":63,"_64":65,"_66":-5,"_67":-5,"_68":-5,"_69":-5,"_70":71,"_72":71,"_73":74,"_75":74,"_76":74,"_77":71,"_78":71,"_79":80,"_81":82,"_83":84,"_85":25},"version",50,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":33,"_34":35,"_36":38,"_39":40,"_41":14,"_42":43,"_24":25},"previous",{"_30":31,"_32":33,"_34":35,"_36":37},"deleted",false,"deletedHere","path","routes/sound.ts","latestPath","fileId","c16a11e4-bdd8-11f0-969c-42dde27851f2","name","sound.ts","fileType","script","content","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=${encodeURIComponent(query)}&token=${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: ${searchResponse.status}`);\n }\n \n const searchData = await searchResponse.json();\n if (!searchData.results || searchData.results.length === 0) {\n throw new Error(\"No results found\");\n }\n\n const sound = searchData.results[0];\n const detailUrl = `https://freesound.org/apiv2/sounds/${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\nexport async function mp3ToPcm24k(\n url: string,\n onPcmChunk: (pcm: Int16Array) => void,\n) {\n const AV = await loadAurora();\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. Create decoder\n const asset = AV.Asset.fromBuffer(mp3Bytes);\n\n asset.on(\"data\", (buffer: Float32Array) => {\n const pcmS16 = floatToS16(buffer);\n\n const final = resampleS16(\n pcmS16,\n asset.format.sampleRate,\n 24000,\n asset.format.channelsPerFrame,\n );\n\n onPcmChunk(final);\n });\n\n asset.on(\"error\", (e: any) => console.error(\"Aurora decode error:\", e));\n\n asset.start();\n}\n\n// ---------------- Helper Functions ----------------\n\nasync function loadAurora() {\n if ((globalThis as any).AV) return (globalThis as any).AV;\n\n await import(\"https://unpkg.com/aurora.js/dist/aurora.js\");\n await import(\"https://unpkg.com/aurora.js/dist/mp3.js\");\n\n return (globalThis as any).AV;\n}\n\n\n\n// -------------------------------------------------------------\n// Helpers\n// -------------------------------------------------------------\n\n// Interleave N Float32Array planes -> single Float32Array\nfunction interleave(planes: Float32Array[], frames: number) {\n if (planes.length === 1) return planes[0];\n const out = new Float32Array(frames * planes.length);\n for (let i = 0; i < frames; i++) {\n for (let ch = 0; ch < planes.length; ch++) {\n out[i * planes.length + ch] = planes[ch][i];\n }\n }\n return out;\n}\n\n// Convert float32 [-1,1] to signed-16-bit\nfunction floatToS16(f32: Float32Array): Int16Array {\n const out = new Int16Array(f32.length);\n for (let i = 0; i < f32.length; i++) {\n let v = f32[i];\n v = Math.max(-1, Math.min(1, v));\n out[i] = v < 0 ? v * 0x8000 : v * 0x7fff;\n }\n return out;\n}\n\n// Linear interpolation resampler (good enough for realtime PCM)\nfunction resampleS16(\n input: Int16Array,\n inRate: number,\n outRate: number,\n channels: number,\n): Int16Array {\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 srcPos = i / ratio;\n const iSrc = Math.floor(srcPos);\n const frac = srcPos - iSrc;\n\n for (let ch = 0; ch < channels; ch++) {\n const idxA = iSrc * channels + ch;\n const idxB = Math.min(idxA + channels, input.length - channels + ch);\n\n const A = input[idxA];\n const B = input[idxB];\n\n out[i * channels + ch] = (A + (B - A) * frac) | 0;\n }\n }\n\n return out;\n}\n\nmp3ToPcm24k(\"https://cdn.freesound.org/previews/451/451531_612689-hq.mp3\", x => {});","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=${encodeURIComponent(query)}&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: ${searchResponse.status}`);\n }\n \n const searchData = await searchResponse.json();\n if (!searchData.results || searchData.results.length === 0) {\n throw new Error(\"No results found\");\n }\n\n const sound = searchData.results[0];\n const detailUrl = `https://freesound.org/apiv2/sounds/${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\n// mpg123 loading and wrapper\n\nasync function loadMpg123() {\n // Already loaded?\n if ((globalThis as any).mpg123Loaded) return (globalThis as any).mpg;\n\n // Import glue JS\n const mpgModule = await import(\n \"https://raw.githubusercontent.com/justinlatimer/mpg123-wasm/master/libmpg123.js\"\n );\n\n // Initialize WASM instance\n const mpg = await mpgModule.default({\n locateFile(path: string) {\n if (path.endsWith(\".wasm\")) {\n return \"https://raw.githubusercontent.com/justinlatimer/mpg123-wasm/master/libmpg123.wasm\";\n }\n return path;\n },\n });\n\n (globalThis as any).mpg123Loaded = true;\n (globalThis as any).mpg = mpg;\n return mpg;\n}\n\n\n// ---------------------------------------------------------------\n// Main: decode MP3 to PCM 24kHz and stream in chunks\n// ---------------------------------------------------------------\n\nexport async function mp3ToPcm24k(\n url: string,\n onPcmChunk: (pcm: Int16Array) => void,\n opts: { chunkMs?: number } = {},\n) {\n const chunkMs = opts.chunkMs ?? 20;\n\n // 1. Load mpg123 WASM\n const mpg = await loadMpg123();\n\n // 2. Fetch MP3 bytes\n const resp = await fetch(url);\n if (!resp.ok) throw new Error(`Failed to fetch MP3: ${resp.status}`);\n const mp3Bytes = new Uint8Array(await resp.arrayBuffer());\n\n // 3. Allocate memory and pass input to WASM\n const ptr = mpg._malloc(mp3Bytes.length);\n mpg.HEAPU8.set(mp3Bytes, ptr);\n\n // Decode call: (inputPtr, inputLength, outputPtrPtr, outputLengthPtr)\n const outPtrPtr = mpg._malloc(4);\n const outLenPtr = mpg._malloc(4);\n\n const rc = mpg._decode(ptr, mp3Bytes.length, outPtrPtr, outLenPtr);\n\n if (rc !== 0) {\n mpg._free(ptr);\n mpg._free(outPtrPtr);\n mpg._free(outLenPtr);\n throw new Error(`mpg123 decode failed rc=${rc}`);\n }\n\n const outPtr = mpg.getValue(outPtrPtr, \"i32\");\n const outLen = mpg.getValue(outLenPtr, \"i32\");\n\n // PCM output is 16-bit signed → Int16Array\n const pcm = new Int16Array(\n mpg.HEAPU8.buffer,\n outPtr,\n outLen / 2,\n );\n\n // mpg123 reports sample rate & channels globally\n const sampleRate = mpg.getValue(mpg._sampleratePtr(), \"i32\");\n const channels = mpg.getValue(mpg._channelsPtr(), \"i32\");\n\n // 4. Downsample to 24 kHz\n const pcm24k = resampleS16(pcm, sampleRate, 24000, channels);\n\n // 5. Chunk output by time (chunkMs)\n const framesPerChunk = Math.floor((24000 * chunkMs) / 1000);\n const samplesPerChunk = framesPerChunk * channels;\n\n for (let i = 0; i < pcm24k.length; i += samplesPerChunk) {\n onPcmChunk(pcm24k.subarray(i, Math.min(i + samplesPerChunk, pcm24k.length)));\n }\n\n // 6. Cleanup\n mpg._free(ptr);\n mpg._free(outPtrPtr);\n mpg._free(outLenPtr);\n}\n\n// ---------------------------------------------------------------\n// Resampler (linear interpolation) — same as before\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 outLen = Math.floor(input.length * ratio);\n const out = new Int16Array(outLen);\n\n for (let i = 0; i < outLen / channels; i++) {\n const srcPos = i / ratio;\n const iSrc = Math.floor(srcPos);\n const frac = srcPos - iSrc;\n\n for (let ch = 0; ch < channels; ch++) {\n const aIndex = iSrc * channels + ch;\n const bIndex = Math.min(aIndex + channels, input.length - channels + ch);\n const A = input[aIndex];\n const B = input[bIndex];\n out[i * channels + ch] = (A + (B - A) * frac) | 0;\n }\n }\n return out;\n}","createdAt",["D",1762744301953],"branchVersion","branchId","ab1c7e74-bb74-11f0-bfa0-42dde27851f2","id","ab1ab602-bb74-11f0-bfa0-42dde27851f2","hello-ambient",["D",1762477020968],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","imageUrl","dbe13bc0-4230-11f0-95cd-ab37681351fa","pinnedFileId","019a5bd1-1741-76ad-96c4-9fef8c5b0894","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","9c125825-8df1-4029-a26d-29049e9bd5a3","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_100":99,"_107":103},"org",{"_100":99,"_101":-5,"_102":103,"_18":55,"_104":105,"_106":25},"branch",{"_13":86,"_32":87,"_44":43,"_88":45,"_89":90,"_91":92,"_93":51,"_94":95,"_96":65,"_97":46,"_98":99},"isOwned",110,"main","projectId","forkedBranchId","be33420e-792a-11f0-bfa3-0224a6c84d84","forkedBranchVersion",372,"forkedProjectPrivacy","forkedProjectId","be2e762a-792a-11f0-bfa3-0224a6c84d84","forkedProjectOrgId","projectName","userHandle","jubertioai","handle","displayName","avatar","https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/61901958-12bd-49a3-43e9-2f67f1617200/square512?exp=1789590438&sig=2b91f8a413eaf5136c26ad944bbb370841a3ce77286282fcba463ba7ce86eb67","tier","pro","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_44":45,"_32":46,"_39":260,"_48":-5,"_49":25,"_50":51,"_52":51,"_53":-5,"_54":-5,"_18":55,"_56":57,"_58":59,"_60":59,"_61":-5,"_62":63,"_64":65,"_66":-5,"_67":-5,"_68":-5,"_69":-5,"_70":71,"_72":71,"_73":74,"_75":74,"_76":74,"_77":71,"_78":71,"_79":261,"_81":262,"_83":263,"_85":25},"tree",[185,187,194,195],"files",[185,186,187,188,189,190,191,192,193,194,195],"counts",{"_174":63,"_175":150,"_176":63,"_177":178,"_179":180},"contents",[143,144,145,146],"upstreamProject",{"_44":95,"_32":140,"_53":141,"_54":-5,"_50":51,"_79":142},"upstreamBranch",{"_44":90,"_39":132,"_133":134,"_32":87,"_88":95,"_13":135,"_89":136,"_91":137,"_138":139,"_48":-5,"_85":25,"_50":51,"_98":99,"_64":65,"_97":140},"emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},["D",1755188493466],"updatedAt",["D",1778178264384],379,"e004ac78-4230-11f0-834a-76b3cceeab13",47,"lockfileKey","1778178275619-esm.town_v_jubertioai_hello-realtime@379-main","hello-realtime","Sample 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":229,"_32":230,"_30":231,"_149":165,"_42":43,"_41":232,"_151":25,"_39":233,"_13":234,"_34":35,"_36":235,"_24":25,"_155":-5,"_197":236,"_27":237},{"_44":222,"_32":223,"_30":224,"_149":165,"_42":43,"_41":150,"_151":59,"_39":225,"_13":63,"_34":35,"_36":226,"_24":25,"_155":-5,"_197":227,"_27":228},{"_44":215,"_32":216,"_30":217,"_149":165,"_42":43,"_41":150,"_151":59,"_39":218,"_13":63,"_34":35,"_36":219,"_24":25,"_155":-5,"_197":220,"_27":221},{"_44":210,"_32":33,"_30":31,"_149":165,"_42":43,"_41":14,"_151":25,"_39":211,"_13":212,"_34":35,"_36":38,"_24":25,"_155":-5,"_197":213,"_27":214},{"_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],"fafcb57e-bde2-11f0-b03f-42dde27851f2",["D",1762744301953],20,[],[164,33],"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;",[],[164,216],"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;",[],[164,223],"619d096e-bdde-11f0-a6c7-42dde27851f2","observer.ts","019a5bd1-1741-76ad-96c4-852ef73d2815",29,["D",1762742326645],4,"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 appendOutputAudio(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\", 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;",[],[164,230],"cba6283a-bddf-11f0-9120-42dde27851f2","agent.ts","019a5bd1-1741-76ad-96c4-8125dc25488c",40,["D",1762742934040],24,"import { ObserverClient, ObserverHandler } from \"./observer.ts\";\nimport { getErrorText, makeHeaders, makeUrl } from \"./utils.ts\";\nimport { searchFreesound, mp3ToPcm24k } 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};\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 this.client.createOutputAudioBuffer(\"background\");\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 const url = \"https://cdn.freesound.org/previews/451/451531_612689-hq.mp3\"\n mp3ToPcm24k(url, (pcm: Int16Array) => { console.log(pcm); });\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(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

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Realtime Agent

Diff · v50