- Introduce RuntimeModelResource and RuntimeKnowledgeBase classes to manage workflow resources. - Update AssistantConfig to include workflow_model_resources and workflow_knowledge_bases for better integration. - Refactor validation and processing logic in routes and services to accommodate workflow types. - Implement dynamic variable support for workflow assistants and enhance graph normalization. - Add ToolExecutor for reusable tool execution across different assistant types. - Update various services to ensure compatibility with new workflow features and improve error handling.
32 lines
915 B
Plaintext
32 lines
915 B
Plaintext
# 薄后端依赖。语音引擎用 pipecat 官方库。
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# webrtc -> SmallWebRTCTransport / SmallWebRTCConnection + aiortc
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# silero -> 本地 VAD(判断用户说话起止),语音必备
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# openai -> OpenAI 兼容的 LLM/STT/TTS 客户端(DeepSeek、SenseVoice、CosyVoice 都走它)
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pipecat-ai[webrtc,websocket,silero,openai]==1.5.0
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Pillow>=11.1.0,<13
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# FastGPT 类型助手:本地 SDK(包 /api/v1/chat/completions 流式 + chatId 会话)
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fastgpt-client @ file:///Users/wangx/Code/AI-VideoAssistant-Project/fastgpt-python-sdk
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# Dify 类型助手:异步流式 Runtime API SDK
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dify-client-python==1.0.3
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fastapi
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httpx
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uvicorn[standard]
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python-dotenv
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pydantic
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loguru
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websockets>=13
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# 存储:Postgres(SQLAlchemy 2.0 异步 + asyncpg 驱动)
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sqlalchemy[asyncio]>=2.0
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alembic>=1.13
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asyncpg
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greenlet # SQLAlchemy 异步运行时必需(部分平台不会自动带上)
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pgvector
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boto3
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python-multipart
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pypdf
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python-docx
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