Update agent.py
Browse files
agent.py
CHANGED
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@@ -357,7 +357,6 @@ def tool_node(state: AgentState) -> Dict[str, Any]:
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new_state = {"messages": []}
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return propagate_state(new_state, state)
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last = wrap_message(messages_list[-1])
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# Safely retrieve pending tool_calls from the message's __dict__
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tool_calls = last.__dict__.get("tool_calls")
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if not (isinstance(last, AIMessage) and tool_calls):
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logger.warning("tool_node invoked without pending tool_calls")
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@@ -462,9 +461,9 @@ def should_continue(state: AgentState) -> str:
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if "consultation complete" in last.content.lower():
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state["done"] = True
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return "end_conversation_turn"
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return "
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def after_tools_router(state: AgentState) -> str:
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if state.get("interaction_warnings"):
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@@ -480,17 +479,14 @@ class ClinicalAgent:
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wf.add_node("tools", tool_node)
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wf.add_node("reflection", reflection_node)
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wf.set_entry_point("start")
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# Note: Added a "start" branch in the conditional edges.
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wf.add_conditional_edges("start", should_continue, {
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"continue_tools": "tools",
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"start": "start",
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"end_conversation_turn": END
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})
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wf.add_conditional_edges("tools", after_tools_router, {
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"reflection": "reflection",
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"end_conversation_turn": END
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})
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# Removed edge from reflection back to start to break the cycle.
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self.graph_app = wf.compile()
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logger.info("ClinicalAgent ready")
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new_state = {"messages": []}
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return propagate_state(new_state, state)
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last = wrap_message(messages_list[-1])
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tool_calls = last.__dict__.get("tool_calls")
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if not (isinstance(last, AIMessage) and tool_calls):
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logger.warning("tool_node invoked without pending tool_calls")
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if "consultation complete" in last.content.lower():
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state["done"] = True
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return "end_conversation_turn"
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# If no tool calls are present, terminate the conversation instead of looping.
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state["done"] = True
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return "end_conversation_turn"
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def after_tools_router(state: AgentState) -> str:
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if state.get("interaction_warnings"):
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wf.add_node("tools", tool_node)
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wf.add_node("reflection", reflection_node)
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wf.set_entry_point("start")
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wf.add_conditional_edges("start", should_continue, {
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"continue_tools": "tools",
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"end_conversation_turn": END
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})
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wf.add_conditional_edges("tools", after_tools_router, {
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"reflection": "reflection",
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"end_conversation_turn": END
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})
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self.graph_app = wf.compile()
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logger.info("ClinicalAgent ready")
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