refactor: 重构图为标准 agent/tools 分离结构

This commit is contained in:
2026-05-08 01:59:19 +08:00
parent ef07b05c22
commit d16ad6185e

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@@ -1,12 +1,15 @@
"""
极简 Agent 主图 - 简化版本!
因为完整的 ReAct 循环已经在 agent.py 里了!
Agent 主图 - 标准 LangGraph 结构
ReAct 循环分离为独立的 agent/tools 节点
"""
from typing import Literal
from langgraph.graph import StateGraph, START, END
from backend.app.main_graph.state import AgentState
from backend.app.main_graph.nodes.memory_trigger import memory_trigger_node, set_mem0_client
from backend.app.main_graph.nodes.agent import create_agent_node
from backend.app.main_graph.nodes.tools import tools_node
from backend.app.main_graph.nodes.finalize import finalize_node
from backend.app.logger import info
@@ -16,7 +19,20 @@ def build_agent_graph(
max_steps: int = 10
):
"""
构建简化的 Agent 图ReAct 循环在 agent 节点内)
构建标准 Agent 图
节点:
- init_state: 初始化状态
- memory_trigger: 记忆触发
- agent: 单步推理
- tools: 工具执行
- finalize: 后处理
边:
- START -> init_state -> memory_trigger -> agent
- agent -> (条件边) -> tools 或 finalize
- tools -> agent (循环)
- finalize -> END
Args:
chat_services: 模型服务字典
@@ -26,57 +42,70 @@ def build_agent_graph(
Returns:
构建好的 StateGraph未编译
"""
# ========== 设置全局客户端 ==========
# 设置全局客户端
if mem0_client:
set_mem0_client(mem0_client)
# ========== 1. 初始化节点:重置步数 ==========
# ========== 1. init_state 节点 ==========
async def init_state_node(state: AgentState):
info("[Init State] 初始化状态,重置步数")
info("[Init State] 初始化状态")
return {
"current_step": 0,
"max_steps": max_steps
"max_steps": max_steps,
"tool_call_history": [],
"tool_result_history": [],
"tools_used": [],
"stop": False,
"stop_reason": "",
}
# ========== 2. 记忆节点(可选) ==========
retrieve_memory_node = None
if mem0_client:
try:
from ..nodes.retrieve_memory import create_retrieve_memory_node
retrieve_memory_node = create_retrieve_memory_node(mem0_client)
except Exception as e:
info(f"[Graph Builder] 记忆节点初始化失败: {e}")
# ========== 3. Agent 节点(包含完整 ReAct 循环,支持动态模型切换) ==========
# ========== 2. Agent 节点 ==========
agent_node_fn = create_agent_node(chat_services)
# ========== 4. 完成节点 ==========
async def finalize_node_simple(state: AgentState):
info("[Finalize] 进入完成节点")
return {}
# ========== 3. 条件边函数 ==========
def should_continue(state: AgentState) -> Literal["tools", "finalize"]:
"""根据 agent 节点输出决定下一步"""
# 手动停止标志
if getattr(state, "stop", False):
return "finalize"
# ========== 5. 构建图 ==========
# 检查是否有工具调用
last_msg = state.messages[-1]
if hasattr(last_msg, 'tool_calls') and last_msg.tool_calls:
return "tools"
return "finalize"
# ========== 4. 构建图 ==========
graph = StateGraph(AgentState)
# 添加节点
graph.add_node("init_state", init_state_node)
if retrieve_memory_node:
graph.add_node("retrieve_memory", retrieve_memory_node)
graph.add_node("memory_trigger", memory_trigger_node)
graph.add_node("agent", agent_node_fn)
graph.add_node("finalize", finalize_node_simple)
graph.add_node("tools", tools_node)
graph.add_node("finalize", finalize_node)
# ========== 6. 边的连接 ==========
# 边的连接
graph.add_edge(START, "init_state")
if retrieve_memory_node:
graph.add_edge("init_state", "retrieve_memory")
graph.add_edge("retrieve_memory", "memory_trigger")
else:
graph.add_edge("init_state", "memory_trigger")
graph.add_edge("init_state", "memory_trigger")
graph.add_edge("memory_trigger", "agent")
graph.add_edge("agent", "finalize")
# 条件边: agent -> tools 或 finalize
graph.add_conditional_edges(
"agent",
should_continue,
{
"tools": "tools",
"finalize": "finalize"
}
)
# 循环回边: tools -> agent
graph.add_edge("tools", "agent")
# 结束
graph.add_edge("finalize", END)
info("✅ [Graph Builder] 简化 Agent 图构建完成ReAct 在节点内)")
info("✅ [Graph Builder] 标准 Agent 图构建完成")
return graph