Add pipecat-based backend with WebRTC/WS voice routes, Next.js frontend, and Docker Compose orchestration. Co-authored-by: Cursor <cursoragent@cursor.com>
67 lines
2.0 KiB
Python
67 lines
2.0 KiB
Python
"""面向前端的请求/响应 DTO。与 DB 模型解耦,**响应里的 key 一律打码**。
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凭证 DTO 字段对齐前端 ComponentsModelsPage 的 ModelResource:
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JSON 用 camelCase(modelId/interfaceType/apiUrl/apiKey),Python 内部用 snake_case,
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靠 Pydantic alias 自动互转。FastAPI 响应默认 by_alias=True,所以出参也是 camelCase。
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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, ConfigDict
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from pydantic.alias_generators import to_camel
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RuntimeMode = Literal["pipeline", "realtime"]
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ModelType = Literal["LLM", "ASR", "TTS", "Realtime", "Embedding"]
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InterfaceType = Literal["openai", "xfyun", "dashscope", "gemini"]
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class CamelModel(BaseModel):
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"""JSON camelCase ↔ Python snake_case。protected_namespaces 关掉以允许 model_id。"""
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model_config = ConfigDict(
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alias_generator=to_camel,
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populate_by_name=True,
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protected_namespaces=(),
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)
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# ---------- 助手 ----------
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class AssistantUpsert(CamelModel):
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name: str
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greeting: str = ""
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prompt: str = ""
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runtime_mode: RuntimeMode = "pipeline"
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model: str = ""
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asr: str = ""
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voice: str = ""
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enable_interrupt: bool = True
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class AssistantOut(AssistantUpsert):
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id: str
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updated_at: str | None = None
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# ---------- 模型凭证(对齐前端 ModelResource) ----------
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class CredentialUpsert(CamelModel):
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name: str = "" # 资源名称
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model_id: str = "" # 模型ID
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type: ModelType # LLM/ASR/TTS/Realtime/Embedding
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interface_type: InterfaceType = "openai" # openai/xfyun/dashscope/gemini
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api_url: str = ""
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api_key: str = "" # 写时:占位符/空表示不改
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is_default: bool = False
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class CredentialOut(CamelModel):
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id: str
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name: str
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model_id: str
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type: str
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interface_type: str
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api_url: str
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api_key: str # 读时:打码后的值
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is_default: bool
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