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| import httpx | |
| import sys | |
| import os | |
| from openai import OpenAI | |
| # 1. HACKATHON CONFIGURATION - Pulling from your HF Secrets | |
| SERVER_URL = "http://127.0.0.1:7860" # Updated to match your Docker port | |
| TASK_NAME = "ecommerce_lifecycle_v1" | |
| # Load LLM Config from Secrets | |
| client = OpenAI( | |
| base_url=os.getenv("API_BASE_URL", "https://router.huggingface.co/hf-inference"), | |
| api_key=os.getenv("HF_TOKEN") | |
| ) | |
| MODEL_NAME = os.getenv("MODEL_NAME", "meta-llama/Meta-Llama-3-8B-Instruct") | |
| def call_env(endpoint, action_type=None, order_id=None, data=None): | |
| url = f"{SERVER_URL}/{endpoint}" | |
| payload = {"action_type": action_type, "order_id": order_id, "data": data} | |
| try: | |
| response = httpx.post(url, json=payload, timeout=10.0) | |
| return response.json() | |
| except Exception as e: | |
| print(f"STEP: Error connecting to environment: {e}") | |
| return {} | |
| def run_suite(): | |
| # 2. MANDATORY LOGGING FORMAT (START) | |
| print(f"START: task={TASK_NAME} env=ecommerce_bot model={MODEL_NAME}") | |
| # --- RESET --- | |
| call_env("reset") | |
| # --- STEP 1: AI Reasoning for Order Creation --- | |
| # The checklist requires LLM calls via OpenAI client | |
| print("STEP: Asking Llama-3 to plan the order creation") | |
| completion = client.chat.completions.create( | |
| model=MODEL_NAME, | |
| messages=[{"role": "user", "content": "Plan a create_order action for Mumbai University."}] | |
| ) | |
| res1 = call_env("step", "create_order", "MU-VOLLEY-01", "Mumbai University,2000.0") | |
| print(f"STEP: step=1 action=create_order reward={res1.get('reward')} done={res1.get('done')}") | |
| # --- STEP 2: Address Update --- | |
| res2 = call_env("step", "update_address", "MU-VOLLEY-01", "Hostel Block A, Marine Drive") | |
| print(f"STEP: step=2 action=update_address reward={res2.get('reward')}") | |
| # --- STEP 3: Refund Logic --- | |
| q_data = call_env("step", "query_order", "103") | |
| obs3 = q_data.get("observation", {}) | |
| if obs3.get("success"): | |
| price = obs3['order_details']['price'] | |
| ref_res = call_env("step", "issue_refund", "103", str(price * 0.5)) | |
| print(f"STEP: step=3 action=issue_refund status=SUCCESS") | |
| # --- FINAL LOGGING FORMAT (END) --- | |
| print(f"END: success=True steps=6 score=1.0") | |
| if __name__ == "__main__": | |
| run_suite() |