import os import requests from typing import Dict, List from run import run_and_submit_all # Adjust path if needed class GaiaAgent: def __init__(self): self.api_url = os.environ.get("HF_MISTRAL_ENDPOINT") self.api_key = os.environ.get("HF_TOKEN") self.model_id = os.environ.get("LLM_MODEL_ID") assert self.api_url, "❌ HF_MISTRAL_ENDPOINT is missing!" assert self.api_key, "❌ HF_TOKEN is missing!" assert self.model_id, "❌ LLM_MODEL_ID is missing!" print(f"✅ [INIT] Model ID: {self.model_id}") print(f"✅ [INIT] Endpoint: {self.api_url}") self.headers = { "Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json", } def generate(self, prompt: str, stop: List[str] = []) -> str: print("🧠 [GENERATE] Prompt sent to model:") print(prompt) payload = { "inputs": prompt, "parameters": { "temperature": 0.0, "max_new_tokens": 1024, "stop": stop, } } try: response = requests.post(self.api_url, headers=self.headers, json=payload) response.raise_for_status() except Exception as e: print(f"❌ [ERROR] Request failed: {e}") return "ERROR: Model call failed" output = response.json() print(f"✅ [RESPONSE] Raw output: {output}") if isinstance(output, dict) and "generated_text" in output: return output["generated_text"] elif isinstance(output, list) and "generated_text" in output[0]: return output[0]["generated_text"] else: return str(output) def answer_question(self, question: Dict) -> str: q = question["question"] print(f"📌 [QUESTION] ID: {question.get('id', 'N/A')} - {q}") prompt = f"""You are a helpful agent answering a science question. Question: {q} Answer:""" return self.generate(prompt).strip() def run(self): print("🚀 [RUN] Starting submission...") return run_and_submit_all(self.answer_question)