Download code/src/llm_client.py from QingchuanMa/RoTA-Bench: direct link, hf CLI and curl.
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https://huggingface.co/datasets/QingchuanMa/RoTA-Bench/resolve/main/code/src/llm_client.py
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curl -L -o llm_client.py https://huggingface.co/datasets/QingchuanMa/RoTA-Bench/resolve/main/code/src/llm_client.py
1.37 kB
| from __future__ import annotations | |
| import os | |
| import json | |
| import urllib.error | |
| import urllib.request | |
| from typing import Dict | |
| API_KEY = os.environ.get("OPENAI_API_KEY", "") | |
| BASE_URL = "https://automl.aiserverai.online/v1" | |
| DEFAULT_MODEL = "gemini-3.1-pro-preview" | |
| def chat_completions(payload: Dict, *, timeout: int = 1500, api_key: str = "", base_url: str = "") -> Dict: | |
| """Call OpenAI-compatible /chat/completions endpoint and return parsed JSON.""" | |
| key = (api_key or API_KEY).strip() | |
| url_base = (base_url or BASE_URL).rstrip("/") | |
| if not key: | |
| raise RuntimeError("API key is empty.") | |
| payload = dict(payload) | |
| payload["stream"] = False | |
| req = urllib.request.Request( | |
| url=f"{url_base}/chat/completions", | |
| data=json.dumps(payload).encode("utf-8"), | |
| headers={ | |
| "Content-Type": "application/json", | |
| "Authorization": f"Bearer {key}", | |
| }, | |
| method="POST", | |
| ) | |
| try: | |
| with urllib.request.urlopen(req, timeout=timeout) as resp: | |
| body = resp.read().decode("utf-8", errors="replace") | |
| except urllib.error.HTTPError as e: | |
| detail = e.read().decode("utf-8", errors="replace") | |
| raise RuntimeError(f"HTTPError {e.code}: {detail}") from e | |
| except Exception as e: | |
| raise RuntimeError(f"Request failed: {e}") from e | |
| return json.loads(body) | |