Files
vibepod/AGENTS.md
T

138 lines
4.6 KiB
Markdown

# VibePod — Agent Guide
This file gives AI coding agents (Jules, Copilot, Claude Code, etc.) the context needed to work effectively on this repo without breaking the two-service setup.
---
## Project overview
VibePod is a text-to-speech web app. It has two services that must both run for the app to work:
| Service | Language | Entry point | Port |
| ---------- | ---------------------------------- | ------------------------------- | ---- |
| **server** | Python 3.10+ (FastAPI + VibeVoice) | `server/start.sh` | 8000 |
| **web** | TypeScript (Next.js 15, React 19) | `pnpm --filter vibepod-web dev` | 3000 |
The Next.js frontend proxies all model requests through its own API routes to the FastAPI server — it never calls the Python server directly from the browser.
---
## Environment (Jules sandbox)
- **No GPU** — always use CPU mode (`pnpm dev:cpu` / `start.sh --cpu`)
- Python venv lives at `server/.venv-cpu` — do **not** use `server/.venv`
- The VibeVoice model (~1 GB) is pre-downloaded to `~/.cache/huggingface` during setup
- Voice presets live at `server/voices/streaming_model/`
- `server/uv.lock` is committed and must not be modified — if `uv sync` rewrites it, run `git checkout server/uv.lock`
---
## Running the app
```bash
# Full stack — CPU (correct for Jules)
pnpm dev:cpu
# Full stack — CUDA (local dev with GPU)
pnpm dev
# Individual services
pnpm dev:server:cpu # Python server, CPU only
pnpm dev:server # Python server, CUDA
pnpm dev:web # Next.js only
# Production build
pnpm build
```
---
## Device selection
The `--cpu` flag in `start.sh` sets `VIBEPOD_DEVICE=cpu` and uses a separate venv (`server/.venv-cpu`) so CUDA and CPU installs never conflict. `vibevoice_server.py` reads `VIBEPOD_DEVICE` at startup via `_resolve_device()` — do not remove or rename that function.
| Env var | Values | Set by |
| ------------------------ | ----------------------- | --------------------------- |
| `VIBEPOD_DEVICE` | `cpu` \| `cuda` | `server/start.sh` |
| `UV_PROJECT_ENVIRONMENT` | `.venv-cpu` \| `.venv` | `server/start.sh` |
| `HF_TOKEN` | HuggingFace token | Jules secret / `.env.local` |
| `VIBEVOICE_SERVER_URL` | `http://localhost:8000` | `.env.local` |
---
## Python environment rules
- Python deps are managed by [uv](https://docs.astral.sh/uv/) — **never use pip directly**
- Always `cd server` before running uv commands
- Add a package: `uv add <package>`
- Remove a package: `uv remove <package>`
- Upgrade deps: `uv lock --upgrade`
- The `[tool.uv.sources]` block in `pyproject.toml` points torch at the CUDA 12.4 index — `--no-sources` bypasses this for CPU installs
---
## Key files
```
server/
├── vibevoice_server.py FastAPI app — /health and /generate (SSE) endpoints
├── download_model.py Standalone model prefetch script
├── start.sh Startup: parses --cpu flag, syncs venv, launches uvicorn
└── pyproject.toml Python deps (torch CUDA index configured here)
web/
├── app/api/generate/ Proxies POST → Python server, streams SSE to browser
├── app/api/health/ Proxies GET /health from Python server
└── app/page.tsx Main UI
package.json Root — defines all pnpm dev:* scripts
dev.sh Concurrent launcher (forwards flags to start.sh)
```
---
## API reference
### `GET /health`
Returns server status. Safe to poll.
```json
{
"status": "online",
"model": "microsoft/VibeVoice-Realtime-0.5B",
"device": "cpu",
"voices": ["carter", "davis", "emma", "frank", "grace", "mike"]
}
```
`status` values: `downloading` | `loading` | `online` | `error`
### `POST /generate`
Streams audio as SSE events.
```json
{ "text": "Hello world", "speaker": "carter", "cfg_scale": 1.5, "inference_steps": 10 }
```
Event types: `audio_chunk` (base64 float32 PCM) | `complete` | `error` | `cancelled`
---
## Do / Don't
**Do:**
- Use `pnpm dev:cpu` in Jules — never plain `pnpm dev`
- Run `git checkout server/uv.lock` if uv rewrites it during setup
- Keep `_resolve_device()` in `vibevoice_server.py` — it's the CPU/CUDA switching logic
- Test server changes against `GET /health` and `POST /generate`
**Don't:**
- Run `uv sync` without `UV_PROJECT_ENVIRONMENT=.venv-cpu` in the Jules sandbox
- Install Python packages with pip
- Modify `server/uv.lock` manually
- Remove the `[tool.uv.sources]` torch entry from `pyproject.toml` — it's needed for CUDA installs