from langchain_community.llms import HuggingFaceHub

def llm_node(question, search_result):
    # Initialize Hugging Face model (free)
    llm = HuggingFaceHub(
        repo_id="HuggingFaceH4/zephyr-7b-beta",  # You can swap with mistral or mixtral if needed
        model_kwargs={
            "temperature": 0.1,
            "max_new_tokens": 500
        }
    )

    # Build prompt combining search + question
    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 = llm.invoke(prompt)
    return response.strip()