# AI VideoAssistant Engine v5 Pipecat Minimal

This is a Pipecat-based rewrite of `AI-VideoAssistant-engine-v3-minimal` in a separate folder.

It intentionally uses Pipecat's FastAPI websocket transport with `ProtobufFrameSerializer`.
The old v3-minimal base64 JSON audio protocol is not supported here.

## Shape

```text
FastAPI /ws
-> Pipecat FastAPIWebsocketTransport
-> OpenAI STT
-> LLM context aggregator
-> OpenAI LLM
-> OpenAI TTS
-> Pipecat websocket output
```

## Run

```bash
cd AI-VideoAssistant-engine-v5-pipecat-minimal
uv venv .venv
source .venv/bin/activate
uv pip install -r requirements.txt
export OPENAI_API_KEY=...
uv run uvicorn engine.main:app --reload --host 0.0.0.0 --port 8001
```

Or pass keys directly in `config.json`.

```bash
uv run python -m engine.main --config ./config.json
```

## Protocols

Pipecat-native endpoint:

```text
ws://localhost:8001/ws
```

The websocket payloads are Pipecat protobuf frames. A client should use Pipecat's websocket client/serializer stack or generate frames compatible with `pipecat.frames.protobufs.frames_pb2`.

Important defaults:

- serializer: `ProtobufFrameSerializer`
- audio input: PCM16 mono
- sample rate: `16000`
- endpoint: `/ws`

Product endpoint:

```text
ws://localhost:8001/ws-product
```

This endpoint uses a stable JSON/base64 protocol named `va.ws.v1`. It is meant for browser, mobile, or other product applications that should not depend on Pipecat's internal protobuf frame schema.

Start a session:

```json
{
  "type": "session.start",
  "protocol": "va.ws.v1",
  "audio": {
    "encoding": "pcm_s16le",
    "sample_rate": 16000,
    "channels": 1
  }
}
```

Send audio:

```json
{
  "type": "input.audio",
  "audio": "<base64 pcm_s16le bytes>",
  "sample_rate": 16000,
  "channels": 1
}
```

The adapter also accepts raw binary websocket messages as PCM16 audio chunks. JSON/base64 is easier to inspect; binary is better for latency and bandwidth.

Stop:

```json
{"type": "session.stop", "reason": "done"}
```

Cancel:

```json
{"type": "response.cancel"}
```

Returned bot audio:

```json
{
  "type": "response.audio.delta",
  "protocol": "va.ws.v1",
  "seq": 1,
  "audio": "<base64 pcm_s16le bytes>",
  "bytes": 6400,
  "sample_rate": 16000,
  "channels": 1
}
```

Returned transcripts and assistant text:

```json
{"type": "input.transcript.interim", "text": "What's the"}
{"type": "input.transcript.final", "text": "What's the weather?", "user_id": "...", "timestamp": "..."}
{"type": "response.text.started"}
{"type": "response.text.delta", "text": "It's "}
{"type": "response.text.delta", "text": "sunny in "}
{"type": "response.text.delta", "text": "Berlin."}
{"type": "response.text.final", "text": "It's sunny in Berlin.", "interrupted": false}
```

`response.text.started` fires at the start of every assistant turn (LLM
streaming reply, or a fixed `TTSSpeakFrame` greeting).
`response.text.delta` events stream LLM token chunks as they're produced,
**ahead of the synthesized audio**, because the producer sits upstream of
the TTS in the pipeline. `response.text.final` fires when the turn ends,
carrying the full concatenated assistant text and an `interrupted` flag
(true when an `input.text` or barge-in cut the turn short).

### Xfyun ASR

The STT provider can be switched to iFlytek/Xfyun's streaming voice dictation
WebSocket API. The engine sends PCM chunks as `encoding: "raw"` and emits
`input.transcript.interim` events with the current full interim transcript as
Xfyun results arrive, followed by the existing `input.transcript.final` event.

```json
"stt": {
  "provider": "xfyun",
  "app_id": "your_xfyun_app_id",
  "api_key": "your_xfyun_api_key",
  "api_secret": "your_xfyun_api_secret",
  "base_url": "wss://iat-api.xfyun.cn/v2/iat",
  "language": "zh_cn",
  "domain": "iat",
  "accent": "mandarin",
  "encoding": "raw",
  "frame_size": 1280,
  "timeout_sec": 10.0
}
```

Credentials may also be provided through `XFYUN_APP_ID`, `XFYUN_API_KEY`, and
`XFYUN_API_SECRET`.

### Xfyun TTS

The TTS provider can be switched to iFlytek/Xfyun's online TTS WebSocket API.
The engine requests `aue: "raw"` PCM audio so the returned chunks can be sent
through the existing Pipecat/product audio path without MP3 decoding.

```json
"tts": {
  "provider": "xfyun",
  "app_id": "your_xfyun_app_id",
  "api_key": "your_xfyun_api_key",
  "api_secret": "your_xfyun_api_secret",
  "base_url": "wss://tts-api.xfyun.cn/v2/tts",
  "voice": "x4_xiaoyan",
  "aue": "raw",
  "tte": "UTF8",
  "speed": 50,
  "volume": 50,
  "pitch": 50,
  "source_sample_rate_hz": 16000
}
```

Credentials may also be provided through `XFYUN_APP_ID`, `XFYUN_API_KEY`, and
`XFYUN_API_SECRET`.

## Notes

This folder keeps the rewrite minimal on purpose. Dograh's useful pattern is the separation between app entrypoint, service factory, and pipeline builder; its workflow graph, database, telephony, recordings, and pricing layers are deliberately left out.