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| """ | |
| Run inference across the selected default Bank tasks. | |
| Connects directly to https://abmallick-vatavaran-env.hf.space and iterates | |
| the configured task IDs sequentially in a single process so the conversation | |
| log is preserved across all tasks (one reset at the very start, then one | |
| episode per task appended to the same log file). | |
| """ | |
| from __future__ import annotations | |
| import asyncio | |
| from openai import OpenAI | |
| from vatavaran import VatavaranEnv | |
| from inference import ( | |
| API_BASE_URL, | |
| API_KEY, | |
| LOG_CONVERSATION_PATH, | |
| _env_ws_kwargs, | |
| _reset_conversation_log, | |
| _run_episode, | |
| ) | |
| HF_SPACE_URL = "https://abmallick-vatavaran-env.hf.space" | |
| # Task IDs aligned with the default inference list. | |
| TASK_IDS = [ | |
| "Bank_00018", | |
| "Bank_00020", | |
| "Bank_00057", | |
| ] | |
| async def run_all() -> None: | |
| _reset_conversation_log(LOG_CONVERSATION_PATH) | |
| client = OpenAI(base_url=API_BASE_URL, api_key=API_KEY or "missing-key") | |
| for task_id in TASK_IDS: | |
| print(f"\n{'='*60}", flush=True) | |
| print(f"Starting task: {task_id}", flush=True) | |
| print(f"{'='*60}", flush=True) | |
| env = VatavaranEnv(base_url=HF_SPACE_URL, **_env_ws_kwargs()) | |
| try: | |
| await _run_episode(client, env, task_id) | |
| finally: | |
| try: | |
| await env.close() | |
| except Exception as exc: | |
| print(f"[DEBUG] env.close() error for {task_id}: {exc}", flush=True) | |
| if __name__ == "__main__": | |
| asyncio.run(run_all()) | |