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构建并部署 AI Agent 服务 / deploy (push) Successful in 5m31s
- 重构 fast_paths.py，让 fast_chitchat 和 fast_rag 都进入 llm_call 而不是直接设置 final_result - 修改 check_fast_path_success 函数返回 'llm_call' 而不是 'success' - 更新 main_graph_builder.py 的条件边配置，支持路由到 llm_call - 在快速路径节点中添加清除 state.final_result 的逻辑，避免复用旧结果 - 重构 RAG 工具初始化方式，使用模块级变量管理 - 修改 finalize.py 让它返回 final_result - 更新 agent_service.py 的 RAG 工具注入方式 - 简化 hybrid_router.py 的代码结构 - 清理 rag_nodes.py 的全局变量相关代码 - 更新相关测试文件
61 lines
1.5 KiB
Python
61 lines
1.5 KiB
Python
"""
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主图节点模块导出
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"""
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# React 模式节点
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from .reasoning import react_reason_node
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from .web_search import web_search_node
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from .error_handling import error_handling_node
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from .routing import init_state_node, route_by_reasoning
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from .llm_call import create_llm_call_node
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from .rag_nodes import rag_retrieve_node, rag_re_retrieve_node
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# 记忆节点
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from .retrieve_memory import create_retrieve_memory_node
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from .memory_trigger import memory_trigger_node, set_mem0_client
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from .summarize import create_summarize_node
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from .finalize import finalize_node
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# 混合路由节点
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from .hybrid_router import (
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hybrid_router_node,
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route_from_hybrid_decision,
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check_fast_path_success,
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)
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from .fast_paths import (
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fast_chitchat_node,
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fast_rag_node,
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fast_tool_node,
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)
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# 通用工具
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from ._utils import dispatch_custom_event, make_react_event
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__all__ = [
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# React 模式节点
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"init_state_node",
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"react_reason_node",
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"web_search_node",
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"error_handling_node",
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"route_by_reasoning",
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"create_llm_call_node",
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"rag_retrieve_node",
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"rag_re_retrieve_node",
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# 记忆节点
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"create_retrieve_memory_node",
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"memory_trigger_node",
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"set_mem0_client",
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"create_summarize_node",
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"finalize_node",
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# 混合路由节点
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"hybrid_router_node",
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"route_from_hybrid_decision",
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"check_fast_path_success",
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"fast_chitchat_node",
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"fast_rag_node",
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"fast_tool_node",
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# 通用工具
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"dispatch_custom_event",
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"make_react_event",
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]
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