Spaces:
Running on Zero
Running on Zero
| """ | |
| graph.py | |
| --------- | |
| Wires the five agents into a real LangGraph StateGraph implementing: | |
| Planner -> Retriever -> Evidence -> Reasoning -> Verification | |
| ^ | | |
| |__________ (insufficient, iterate) ___| | |
| | | |
| (sufficient / max iters) | |
| v | |
| Final Answer | |
| This is the "PLAN -> RETRIEVE -> CHECK -> REASON -> VERIFY -> RETRIEVE AGAIN | |
| IF NECESSARY -> ANSWER" loop from the spec, expressed as an actual | |
| conditional edge in LangGraph rather than a fixed linear pipeline. | |
| """ | |
| from __future__ import annotations | |
| from langgraph.graph import END, StateGraph | |
| from src.agents.evidence import evaluate_evidence | |
| from src.agents.final_answer import finalize | |
| from src.agents.planner import plan | |
| from src.agents.reasoning import reason | |
| from src.agents.retrieval import retrieve | |
| from src.agents.state import ResearchState | |
| from src.agents.verification import verify | |
| def _route_after_verification(state: ResearchState) -> str: | |
| if state.get("error"): | |
| return "end" | |
| if state.get("verification_passed"): | |
| return "finalize" | |
| # Not passed but verify() only leaves verification_passed=False when a retry is queued | |
| return "retrieve" | |
| def _route_after_plan(state: ResearchState) -> str: | |
| return "end" if state.get("error") else "retrieve" | |
| def build_graph(): | |
| graph = StateGraph(ResearchState) | |
| graph.add_node("plan", plan) | |
| graph.add_node("retrieve", retrieve) | |
| graph.add_node("evaluate_evidence", evaluate_evidence) | |
| graph.add_node("reason", reason) | |
| graph.add_node("verify", verify) | |
| graph.add_node("finalize", finalize) | |
| graph.set_entry_point("plan") | |
| graph.add_conditional_edges("plan", _route_after_plan, {"retrieve": "retrieve", "end": END}) | |
| graph.add_edge("retrieve", "evaluate_evidence") | |
| graph.add_edge("evaluate_evidence", "reason") | |
| graph.add_edge("reason", "verify") | |
| graph.add_conditional_edges( | |
| "verify", _route_after_verification, {"retrieve": "retrieve", "finalize": "finalize", "end": END} | |
| ) | |
| graph.add_edge("finalize", END) | |
| return graph.compile() | |
| _COMPILED_GRAPH = None | |
| def get_graph(): | |
| global _COMPILED_GRAPH | |
| if _COMPILED_GRAPH is None: | |
| _COMPILED_GRAPH = build_graph() | |
| return _COMPILED_GRAPH | |
| def run_research(question: str, max_iterations: int = 3) -> ResearchState: | |
| initial_state: ResearchState = { | |
| "question": question, | |
| "max_iterations": max_iterations, | |
| "iteration": 0, | |
| "trace": [], | |
| } | |
| graph = get_graph() | |
| # recursion_limit accounts for the loop: each iteration touches ~4 nodes | |
| result = graph.invoke(initial_state, config={"recursion_limit": 6 * max_iterations + 10}) | |
| return result | |