# Agora Conversational AI — Translator Recipe (Python) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](./LICENSE) [![Python](https://img.shields.io/badge/python-%3E%3D3.10-blue)](https://www.python.org/) [![Bun](https://img.shields.io/badge/bun-latest-black)](https://bun.sh/) The **translator** recipe in the Agora Conversational AI recipes family. Real-time speech translation: speak in a source language, the agent translates and speaks back in the target language. Fully **zero-key** — OpenAI is Agora-managed (no `OPENAI_API_KEY` required unless you bring your own account). **Pipeline:** `DeepgramSTT(language=SOURCE_LANG)` → `OpenAI` (translate) → `MiniMaxTTS(voice=TTS_VOICE)` ## 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 ## 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 # select which project to use agora project env write server/.env.local # writes App ID + Certificate # 3. (Optional) customise language pair in server/.env.local # SOURCE_LANG=es # Deepgram language code for the speaker # TARGET_LANG=English # language name used in the translation prompt # TTS_VOICE=English_captivating_female1 # MiniMax voice matching the target # 4. Run backend + web bun run dev ``` Open [http://localhost:3000](http://localhost:3000) → **Start Conversation** → speak in `SOURCE_LANG`. ### 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 in `server/.env.local` before a conversation can connect. Services: - Frontend — http://localhost:3000 - Backend — http://localhost:8000 - Mock LLM — N/A (managed OpenAI, no local service) - 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-translator` on `v*` tags. It exposes **BACKEND-ONLY** (:8000). No separate LLM container is needed — OpenAI is Agora-managed. ## Environment variables Backend env file: [`server/.env.example`](server/.env.example). | Variable | Required | Default | Notes | | --- | :---: | :---: | --- | | `AGORA_APP_ID` | ✅ | — | Agora Console → Project → App ID | | `AGORA_APP_CERTIFICATE` | ✅ | — | Agora Console → Project → App Certificate | | `SOURCE_LANG` | | `es` | Deepgram STT language code (speaker's language) | | `TARGET_LANG` | | `English` | Language name used in the translation prompt | | `TTS_VOICE` | | `English_captivating_female1` | MiniMax voice matching `TARGET_LANG` | | `OPENAI_MODEL` | | `gpt-4o-mini` | OpenAI model for translation | | `OPENAI_API_KEY` | | — | Optional — Agora manages the OpenAI key by default (keyless). Set only if your account requires it. | | `AGENT_GREETING` | | built-in | Optional opening line override | > Note: when you change `TARGET_LANG`, also pick a matching `TTS_VOICE` for > that target language. ## 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 (managed OpenAI vendor) ▼ Agora ConvoAI Cloud │ Deepgram STT (managed, SOURCE_LANG) │ OpenAI translation (Agora-managed, keyless) │ MiniMax TTS (managed, TTS_VOICE) ▼ User hears translated speech ``` No separate `llm/` service — OpenAI is Agora-managed and requires no API key. See [ARCHITECTURE.md](./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). - **Managed keyless OpenAI** translating STT(source) → TTS(target) — Agora-managed, no `OPENAI_API_KEY` required. - **Configurable language pair** via `SOURCE_LANG` / `TARGET_LANG` / `TTS_VOICE` environment variables. - **Zero-key** setup — the full pipeline runs with no LLM API key by default. ## 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 starts an agent session using the managed OpenAI vendor. 3. The user speaks in `SOURCE_LANG`. Agora runs STT (Deepgram, `SOURCE_LANG` locale) and produces a transcript. 4. Agora's managed OpenAI stage receives the transcript with a translation system prompt and produces the translated text in `TARGET_LANG`. 5. Agora runs TTS (MiniMax, `TTS_VOICE`) on the translated text and plays it back in the channel. No API key is required — Agora manages the OpenAI account. 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, managed OpenAI translation. - `ARCHITECTURE.md` — system shape and component boundaries. - `AGENTS.md` — guide for coding agents working in this repo. ## Troubleshooting | Problem | Fix | | --- | --- | | Agent starts but does not translate | Check `SOURCE_LANG` is a valid Deepgram BCP-47 code. | | Wrong TTS voice / language | Set `TTS_VOICE` to a MiniMax voice matching your `TARGET_LANG`. | | 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](./ARCHITECTURE.md) - [AGENTS.md](./AGENTS.md) ## License Released under the [MIT License](./LICENSE).