Update graph_builder.py

graph_builder.py

@@ -1,59 +1,29 @@
 from langgraph.graph import StateGraph
-from langchain_core.tools import Tool
-from langchain_community.chat_models import ChatOpenAI
-from langchain_community.tools import TavilySearchResults
-
-
+from llm_node import llm_node
+from formatter_node import formatter_node
 
 def build_graph():
     graph = StateGraph(dict)
 
-    # Setup tools
-    search = TavilySearchResults()
-
-
-    def search_step(state):
+    def llm_step(state):
         question = state.get("question")
         if not question:
             raise ValueError("Missing 'question' in state")
-        result = search.run(question)
-        state["search_result"] = result
-        return state
-
-    def llm_step(state):
-        llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0)
-        question = state.get("question")
-        search_info = state.get("search_result", "")
-        prompt = f"""
-You are solving a GAIA benchmark question.
-Here’s the question:
-{question}
-
-Here’s retrieved web info:
-{search_info}
-
-ONLY return the final exact answer (no explanation, no prefix).
-"""
-        response = llm.invoke(prompt)
-        state["llm_output"] = response.content.strip()
+        llm_output = llm_node(question)  # ✅ uses HuggingFaceHub now
+        state["llm_output"] = llm_output
         return state
 
     def formatter_step(state):
         llm_output = state.get("llm_output")
         if not llm_output:
             raise ValueError("Missing 'llm_output' in state")
-        cleaned = llm_output.strip()
-        state["final_answer"] = cleaned
+        final_answer = formatter_node(llm_output)
+        state["final_answer"] = final_answer
         return state
 
-    # Add nodes
-    graph.add_node("search", search_step)
     graph.add_node("llm", llm_step)
     graph.add_node("formatter", formatter_step)
-
-    # Define flow
-    graph.set_entry_point("search")
-    graph.add_edge("search", "llm")
+    graph.set_entry_point("llm")
     graph.add_edge("llm", "formatter")
     graph.set_finish_point("formatter")