42cab2a6ef
Add pipecat-based backend with WebRTC/WS voice routes, Next.js frontend, and Docker Compose orchestration. Co-authored-by: Cursor <cursoragent@cursor.com>
56 lines
1.6 KiB
Python
56 lines
1.6 KiB
Python
"""请求/配置数据模型。
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分两层(重要):
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- AssistantConfig:**运行时**配置,含真 key,只在后端内部流转,绝不返回前端。
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由 config_resolver 从 DB 组装(或信令内联传入)。
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- schemas.py 里的 *Request/*Response:面向前端的 DTO(key 打码)。
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"""
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from __future__ import annotations
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from typing import Literal
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from pydantic import BaseModel, Field
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RuntimeMode = Literal["pipeline", "realtime"]
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class AssistantConfig(BaseModel):
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"""运行时配置:前端可见部分(name/prompt/...) + 服务端注入部分(*_api_key/*_base_url)。"""
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name: str = "未命名助手"
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greeting: str = "您好,我是 AI 视频助手,请问有什么可以帮您?"
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prompt: str = "你是一个有帮助的助手。"
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runtimeMode: RuntimeMode = "pipeline"
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# 模型/音色选项
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model: str = "" # LLM
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asr: str = "" # STT
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voice: str = "" # TTS 音色
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realtimeModel: str = ""
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enableInterrupt: bool = True
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# ---- 运行时连接信息(服务端注入,不来自浏览器) ----
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# 为空时,service_factory 会回退到 config.py 的 .env 默认值。
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llm_api_key: str = ""
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llm_base_url: str = ""
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stt_api_key: str = ""
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stt_base_url: str = ""
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tts_api_key: str = ""
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tts_base_url: str = ""
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class SignalingOffer(BaseModel):
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"""WS 信令里 offer 消息的 payload。
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推荐用 assistant_id(浏览器只传 id,key 在服务端解析);
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inline_config 仅用于调试/无库场景。
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"""
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pc_id: str | None = None
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sdp: str
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type: str
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assistant_id: str | None = None
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inline_config: AssistantConfig | None = None
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