1e3ba39150
- Reorganize imports and remove unused dependencies across memory agent controllers - Extract config validation logic into dedicated validators module - Create new memory_config_model and memory_config_schema for configuration management - Implement memory_config_service for centralized config handling - Add embedder_utils module for embedding model utilities - Refactor memory agent service to use new config validation framework - Clean up configuration files (remove config.json, testdata.json, dbrun.json) - Remove deprecated hybrid_chatbot.py and config overrides - Update logging configuration and error handling across memory modules - Consolidate LLM and embedding model validation into validators - Improve code organization and reduce duplication in memory storage services - Enhance type classification and verification tools with better error handling
22 lines
420 B
Python
22 lines
420 B
Python
from typing import Optional
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from pydantic import BaseModel
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class UserInput(BaseModel):
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message: str
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history: list[dict]
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search_switch: str
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group_id: str
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config_id: str
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class Write_UserInput(BaseModel):
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message: str
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group_id: str
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config_id: str
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class End_User_Information(BaseModel):
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end_user_name: str # 这是要更新的用户名
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id: str # 宿主ID，用于匹配条件
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