Files
ai-video-fullstack/backend/services/pipecat/transports.py
Xin Wang c5db918830 Add support for image input in model resources and enhance related configurations
- Introduce a new `support_image_input` field in model resources, allowing models to indicate support for image input.
- Update the backend models, schemas, and database seed scripts to accommodate the new field.
- Enhance the AssistantConfig and related routes to handle image input capabilities, ensuring proper validation and error handling.
- Modify the frontend components to include toggles for enabling visual understanding and filtering models based on image input support.
- Implement necessary adjustments in the voice preview and pipeline to integrate video stream handling alongside audio functionalities.
2026-07-07 19:41:45 +08:00

61 lines
2.1 KiB
Python

"""Transport 工厂——管线与"输出方式"解耦的关键。
同一条 STT→LLM→TTS 管线,可以挂在不同 transport 上:
- WebRTC:浏览器,低延迟,带 NAT 穿透 -> build_webrtc_transport
- WS: 裸音频流,服务端/话务/自定义客户端,简单 -> build_ws_transport
未来加电话(Twilio/Vonage)只是再加一个 build_xxx_transport + 对应 serializer。
对应 dograh 的 transport_setup.py(WebRTC)+ 各 telephony provider 的 transport.py(WS)。
"""
from fastapi import WebSocket
from pipecat.transports.base_transport import TransportParams
# WebRTC
from pipecat.transports.smallwebrtc.connection import SmallWebRTCConnection
from pipecat.transports.smallwebrtc.transport import SmallWebRTCTransport
# 裸 WS 音频流
from pipecat.transports.websocket.fastapi import (
FastAPIWebsocketTransport,
FastAPIWebsocketParams,
)
from pipecat.serializers.protobuf import ProtobufFrameSerializer
def _base_params(*, video_in_enabled: bool = False) -> dict:
"""两种 transport 共享的音频参数。"""
return dict(
audio_in_enabled=True,
audio_out_enabled=True,
video_in_enabled=video_in_enabled,
# EndFrame 后默认补 2s 静音(防止收尾被截断)。我们的挂断已等到机器人
# 说完才触发,这段静音纯属空等,置 0 让结束语播完立即挂断。
audio_out_end_silence_secs=0,
)
def build_webrtc_transport(
connection: SmallWebRTCConnection,
*,
video_in_enabled: bool = False,
) -> SmallWebRTCTransport:
return SmallWebRTCTransport(
webrtc_connection=connection,
params=TransportParams(**_base_params(video_in_enabled=video_in_enabled)),
)
def build_ws_transport(websocket: WebSocket) -> FastAPIWebsocketTransport:
"""裸 WS 输出。序列化用 protobuf(自定义客户端用同款解码);
若对接电话商,把 serializer 换成对应的 TwilioFrameSerializer 等即可。
"""
return FastAPIWebsocketTransport(
websocket=websocket,
params=FastAPIWebsocketParams(
serializer=ProtobufFrameSerializer(),
**_base_params(),
),
)