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graph_helper.py

@@ -72,47 +72,13 @@ def generate_graph() -> CompiledStateGraph:
 
         return {"messages": messages}
 
-    # def chatNode(state: ChatState) -> ChatState:
-    #     messages = state["messages"]
-    #     system_prompt = None
-    #     new_messages = []
-
-    #     for m in messages:
-    #         if isinstance(m, ToolMessage):
-    #             print("m.name = ", m.name)
-    #             if m.name == "format_scripture_answer":
-    #                 system_prompt = m.content
-    #         else:
-    #             new_messages.append(m)
-
-    #     if system_prompt:
-    #         full_history = [
-    #             SystemMessage(content=system_prompt),
-    #             SystemMessage(
-    #                 content="⚠️ Do NOT summarize or compress the context from the query tool. It will be passed directly to another tool that formats the answer."
-    #             ),
-    #             SystemMessage(
-    #                 content="You MUST call the `format_scripture_answer` tool if the user question is about scripture content and the query tool has returned a result."
-    #             ),
-    #         ] + new_messages
-    #     else:
-    #         full_history = messages
-
-    #     # 🔍 Debug log (optional)
-    #     # print("\n🧠 LLM Full History:")
-    #     # for m in full_history:
-    #     #    print(f"- {m.type.upper()}: {m.content[:100]}...\n")
-
-    #     ai_response = llm.invoke(full_history)
-    #     return {"messages": messages + [ai_response]}
-
     graph = StateGraph(ChatState)
     graph.add_node("init", init_system_prompt_node)
-    graph.add_node("chat", chatNode)
+    graph.add_node("llm", chatNode)
     graph.add_node("tools", ToolNode(tools))
     graph.add_edge(START, "init")
-    graph.add_edge("init", "chat")
-    graph.add_conditional_edges("chat", tools_condition, "tools")
-    graph.add_edge("tools", "chat")
+    graph.add_edge("init", "llm")
+    graph.add_conditional_edges("llm", tools_condition, "tools")
+    graph.add_edge("tools", "llm")
 
     return graph.compile(checkpointer=memory)