mirror of
https://gitee.com/wanwujie/deer-flow
synced 2026-04-09 16:54:46 +08:00
36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
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# SPDX-License-Identifier: MIT
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from langgraph.graph import StateGraph, START, END
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from langgraph.checkpoint.memory import MemorySaver
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from .types import State
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from .nodes import (
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coordinator_node,
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planner_node,
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reporter_node,
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research_team_node,
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researcher_node,
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coder_node,
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human_feedback_node,
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)
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def build_graph():
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"""Build and return the agent workflow graph."""
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# use persistent memory to save conversation history
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# TODO: be compatible with SQLite / PostgreSQL
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memory = MemorySaver()
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# build state graph
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builder = StateGraph(State)
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builder.add_edge(START, "coordinator")
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builder.add_node("coordinator", coordinator_node)
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builder.add_node("planner", planner_node)
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builder.add_node("reporter", reporter_node)
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builder.add_node("research_team", research_team_node)
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builder.add_node("researcher", researcher_node)
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builder.add_node("coder", coder_node)
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builder.add_node("human_feedback", human_feedback_node)
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builder.add_edge("reporter", END)
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return builder.compile(checkpointer=memory)
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