実装ガイド
目次
Agora Conversational AI — Realtime Recipe (Python)
The realtime recipe in the Agora Conversational AI recipes family. Voice-to-voice conversation using a single OpenAI Realtime MLLM — no separate STT, LLM, or TTS. Speak, and hear the model respond directly.
Not zero-key — OPENAI_API_KEY with Realtime API access is required.
Pipeline: OpenAIRealtime MLLM via .with_mllm() (server_vad turn detection)
Prerequisites
- Python 3.10+
- Bun
- Agora CLI — makes generating an App ID + App Certificate easy
- OpenAI API key with Realtime API access — set as
OPENAI_API_KEYinserver/.env.local
The same commands work on macOS, Linux, and Windows. On macOS/Linux, setup uses
python3; on Windows, it uses the Python launcher (py) or python. WSL and
virtualenv activation are not required.
Run It
# 1. Install web deps + create the Python venv
bun run setup
# 2. Add Agora credentials (CLI), or edit server/.env.local by hand
agora login
agora project use <your-project> # select which project to use
agora project env write server/.env.local # writes App ID + Certificate
# 3. Add your OpenAI Realtime API key to server/.env.local
# OPENAI_API_KEY=sk-... (required — OpenAI Realtime access)
# OPENAI_MODEL=gpt-4o-realtime-preview (optional, this is the default)
# 4. Run backend + web
bun run devOpen http://localhost:3000 → Start Conversation → speak.
Working from a clone
If you cloned this repo (rather than scaffolding via the Agora CLI), the steps
above are complete as written: bun run setup creates the Python venv and
installs web dependencies, then bun run dev brings up both services. You
still need Agora credentials and OPENAI_API_KEY in server/.env.local before
a conversation can connect.
Services:
- Frontend — http://localhost:3000
- Backend — http://localhost:8000
- Mock LLM — N/A (the realtime MLLM handles voice end-to-end)
- API docs — http://localhost:8000/docs
Deploy
Deploy web (Next.js) and server (a reachable FastAPI backend). Set
AGENT_BACKEND_URL in the web deployment so the Next rewrites reach the backend.
A backend-only Docker image is published to
ghcr.io/AgoraIO-Conversational-AI/recipe-agent-realtime on v* tags.
It exposes BACKEND-ONLY (:8000). No separate service is needed.
Environment variables
Backend env file: server/.env.example.
| Variable | Required | Default | Notes |
|---|---|---|---|
AGORA_APP_ID | ✅ | — | Agora Console → Project → App ID |
AGORA_APP_CERTIFICATE | ✅ | — | Agora Console → Project → App Certificate |
OPENAI_API_KEY | ✅ | — | BYO OpenAI key with Realtime API access. Validated at agent start. |
OPENAI_MODEL | gpt-4o-realtime-preview | OpenAI Realtime model name | |
AGENT_GREETING | built-in | Optional opening line override |
Commands
bun run setup # install web deps + create server/ venv
bun run dev # run backend (:8000) + web (:3000)
bun run doctor # prerequisite check (no creds needed)
bun run doctor:local # + .env.local + credentials checks
bun run verify # web-only gate (no Agora creds needed)
bun run verify:local # full local gate: backend compile + smoke tests + web build
bun run clean # remove venvs and build artifactsTests run standalone (no Agora cloud needed): pytest in server/, plus
bun run verify in web/. CI runs them on Linux/macOS/Windows × Python 3.10 & 3.13.
Architecture
Browser (localhost:3000)
│ fetch /api/*
▼
Next.js ──rewrite──▶ Agent backend (server/, localhost:8000)
│ starts agent session (OpenAIRealtime MLLM)
▼
Agora ConvoAI Cloud
│ OpenAI Realtime (voice-to-voice, server_vad)
▼
User hears realtime voice responseNo cascading STT/LLM/TTS vendors. No llm/ service.
See ARCHITECTURE.md.
What You Get
- A Next.js web client (:3000) that drives the RTC/RTM lifecycle and only ever calls
/api/*. - A FastAPI agent backend (:8000) that owns Agora token generation and the agent session lifecycle.
- The
/api/get_config·/api/startAgent·/api/stopAgentcontract between the web client and the backend (Next rewrites, no Route Handlers). - OpenAI Realtime MLLM attached via
.with_mllm()— replaces the cascading STT→LLM→TTS with a single voice-to-voice model. - Server-side VAD (
server_vad) turn detection — owned by the MLLM, no top-level cascading VAD config needed. - BYO key —
OPENAI_API_KEYis required; validated at agent start.
How It Works
- The browser calls
/api/get_config, which Next rewrites to the backend; the backend mints an Agora token fromAGORA_APP_ID+AGORA_APP_CERTIFICATE. - The browser joins the RTC channel, then calls
/api/startAgent; the backend validatesOPENAI_API_KEYand starts an agent session usingOpenAIRealtime. - The user speaks. Agora routes audio to the OpenAI Realtime endpoint.
- OpenAI Realtime processes voice-to-voice and streams the response audio back.
- The agent's voice plays in the channel. RTM transcript + metrics arrive in the web UI.
/api/stopAgentends the session.
Repo Map
web/— Next.js frontend (:3000); RTC/RTM lifecycle and UI.server/— FastAPI agent backend (:8000); Agora tokens + agent lifecycle, OpenAI Realtime MLLM.ARCHITECTURE.md— system shape and component boundaries.AGENTS.md— guide for coding agents working in this repo.
Troubleshooting
| Problem | Fix |
|---|---|
/startAgent returns 400 | Check OPENAI_API_KEY is set and has OpenAI Realtime API access. |
| Agent starts but no audio | Ensure the model (OPENAI_MODEL) supports realtime voice. |
| Local calls fail under a global proxy (Clash, etc.) | Configure your proxy to send 127.0.0.1, localhost, and RFC-1918 ranges DIRECT. |
More Docs
License
Released under the MIT License.
# Agora Conversational AI — Realtime Recipe (Python)
[](./LICENSE)
[](https://www.python.org/)
[](https://bun.sh/)
The **realtime** recipe in the Agora Conversational AI recipes family.
Voice-to-voice conversation using a single **OpenAI Realtime** MLLM — no separate
STT, LLM, or TTS. Speak, and hear the model respond directly.
**Not zero-key** — `OPENAI_API_KEY` with Realtime API access is required.
**Pipeline:** `OpenAIRealtime` MLLM via `.with_mllm()` (server_vad turn detection)
## Prerequisites
- [Python 3.10+](https://www.python.org/)
- [Bun](https://bun.sh/)
- [Agora CLI](https://github.com/AgoraIO/cli) — makes generating an App ID + App Certificate easy
- **OpenAI API key with Realtime API access** — set as `OPENAI_API_KEY` in `server/.env.local`
The same commands work on macOS, Linux, and Windows. On macOS/Linux, setup uses
`python3`; on Windows, it uses the Python launcher (`py`) or `python`. WSL and
virtualenv activation are not required.
## Run It
```bash
# 1. Install web deps + create the Python venv
bun run setup
# 2. Add Agora credentials (CLI), or edit server/.env.local by hand
agora login
agora project use <your-project> # select which project to use
agora project env write server/.env.local # writes App ID + Certificate
# 3. Add your OpenAI Realtime API key to server/.env.local
# OPENAI_API_KEY=sk-... (required — OpenAI Realtime access)
# OPENAI_MODEL=gpt-4o-realtime-preview (optional, this is the default)
# 4. Run backend + web
bun run dev
```
Open [http://localhost:3000](http://localhost:3000) → **Start Conversation** → speak.
### Working from a clone
If you cloned this repo (rather than scaffolding via the Agora CLI), the steps
above are complete as written: `bun run setup` creates the Python venv and
installs web dependencies, then `bun run dev` brings up both services. You
still need Agora credentials and `OPENAI_API_KEY` in `server/.env.local` before
a conversation can connect.
Services:
- Frontend — http://localhost:3000
- Backend — http://localhost:8000
- Mock LLM — N/A (the realtime MLLM handles voice end-to-end)
- API docs — http://localhost:8000/docs
## Deploy
Deploy `web` (Next.js) and `server` (a reachable FastAPI backend). Set
`AGENT_BACKEND_URL` in the web deployment so the Next rewrites reach the backend.
A backend-only Docker image is published to
`ghcr.io/AgoraIO-Conversational-AI/recipe-agent-realtime` on `v*` tags.
It exposes **BACKEND-ONLY** (:8000). No separate service is needed.
## Environment variables
Backend env file: [`server/.env.example`](https://github.com/AgoraIO-Conversational-AI/recipe-agent-realtime/blob/main/server/.env.example).
| Variable | Required | Default | Notes |
| --- | :---: | :---: | --- |
| `AGORA_APP_ID` | ✅ | — | Agora Console → Project → App ID |
| `AGORA_APP_CERTIFICATE` | ✅ | — | Agora Console → Project → App Certificate |
| `OPENAI_API_KEY` | ✅ | — | BYO OpenAI key with Realtime API access. Validated at agent start. |
| `OPENAI_MODEL` | | `gpt-4o-realtime-preview` | OpenAI Realtime model name |
| `AGENT_GREETING` | | built-in | Optional opening line override |
## Commands
```bash
bun run setup # install web deps + create server/ venv
bun run dev # run backend (:8000) + web (:3000)
bun run doctor # prerequisite check (no creds needed)
bun run doctor:local # + .env.local + credentials checks
bun run verify # web-only gate (no Agora creds needed)
bun run verify:local # full local gate: backend compile + smoke tests + web build
bun run clean # remove venvs and build artifacts
```
Tests run standalone (no Agora cloud needed): `pytest` in `server/`, plus
`bun run verify` in `web/`. CI runs them on Linux/macOS/Windows × Python 3.10 & 3.13.
## Architecture
```
Browser (localhost:3000)
│ fetch /api/*
▼
Next.js ──rewrite──▶ Agent backend (server/, localhost:8000)
│ starts agent session (OpenAIRealtime MLLM)
▼
Agora ConvoAI Cloud
│ OpenAI Realtime (voice-to-voice, server_vad)
▼
User hears realtime voice response
```
No cascading STT/LLM/TTS vendors. No `llm/` service.
See [ARCHITECTURE.md](https://github.com/AgoraIO-Conversational-AI/recipe-agent-realtime/blob/main/ARCHITECTURE.md).
## What You Get
- A **Next.js** web client (:3000) that drives the RTC/RTM lifecycle and only ever calls `/api/*`.
- A **FastAPI** agent backend (:8000) that owns Agora token generation and the agent session lifecycle.
- The `/api/get_config` · `/api/startAgent` · `/api/stopAgent` contract between the web client and the backend (Next rewrites, no Route Handlers).
- **OpenAI Realtime MLLM** attached via `.with_mllm()` — replaces the cascading STT→LLM→TTS with a single voice-to-voice model.
- **Server-side VAD** (`server_vad`) turn detection — owned by the MLLM, no top-level cascading VAD config needed.
- **BYO key** — `OPENAI_API_KEY` is required; validated at agent start.
## How It Works
1. The browser calls `/api/get_config`, which Next rewrites to the backend; the
backend mints an Agora token from `AGORA_APP_ID` + `AGORA_APP_CERTIFICATE`.
2. The browser joins the RTC channel, then calls `/api/startAgent`; the backend
validates `OPENAI_API_KEY` and starts an agent session using `OpenAIRealtime`.
3. The user speaks. Agora routes audio to the OpenAI Realtime endpoint.
4. OpenAI Realtime processes voice-to-voice and streams the response audio back.
5. The agent's voice plays in the channel. RTM transcript + metrics arrive in the web UI.
6. `/api/stopAgent` ends the session.
## Repo Map
- `web/` — Next.js frontend (:3000); RTC/RTM lifecycle and UI.
- `server/` — FastAPI agent backend (:8000); Agora tokens + agent lifecycle, OpenAI Realtime MLLM.
- `ARCHITECTURE.md` — system shape and component boundaries.
- `AGENTS.md` — guide for coding agents working in this repo.
## Troubleshooting
| Problem | Fix |
| --- | --- |
| `/startAgent` returns 400 | Check `OPENAI_API_KEY` is set and has OpenAI Realtime API access. |
| Agent starts but no audio | Ensure the model (`OPENAI_MODEL`) supports realtime voice. |
| Local calls fail under a global proxy (Clash, etc.) | Configure your proxy to send `127.0.0.1`, `localhost`, and RFC-1918 ranges DIRECT. |
## More Docs
- [ARCHITECTURE.md](https://github.com/AgoraIO-Conversational-AI/recipe-agent-realtime/blob/main/ARCHITECTURE.md)
- [AGENTS.md](https://github.com/AgoraIO-Conversational-AI/recipe-agent-realtime/blob/main/AGENTS.md)
## License
Released under the [MIT License](https://github.com/AgoraIO-Conversational-AI/recipe-agent-realtime/blob/main/LICENSE).