Update llm_node.py

llm_node.py

@@ -1,32 +1,5 @@
-import os
-from huggingface_hub import InferenceClient
-
 def llm_node(question, search_result):
-    client = InferenceClient(token=os.getenv("HUGGINGFACEHUB_API_TOKEN"))
-
-    model_id = "google/flan-t5-small"  # ✅ Small free-tier model
-
-    prompt = f"""You are solving a GAIA benchmark evaluation question.
-
-Here’s the question:
-{question}
-
-Here’s retrieved information:
-{search_result}
-
-⚠️ VERY IMPORTANT:
-- ONLY return the final answer, exactly as required.
-- Do NOT include explanations, prefixes, or notes.
-- If the question asks for a list, give only the list, in the requested format.
-
-Your answer:"""
-
-    response = client.text_generation(
-        model=model_id,
-        prompt=prompt,
-        max_new_tokens=200,  # smaller due to model limits
-        temperature=0.1,
-        top_p=0.9
-    )
-
-    return response.strip()
+    # Use search result directly, bypassing heavy LLM calls
+    # Only light formatting / phrasing
+    combined_answer = f"{search_result.strip()}"
+    return combined_answer