Datasets:
Download scripts/llm.py from onlyaady/FinGuard-Privacy-Benchmark: direct link, hf CLI and curl.
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- Download file 1.64 kB
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https://huggingface.co/datasets/onlyaady/FinGuard-Privacy-Benchmark/resolve/main/scripts/llm.py
- Command line
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hf download hf://datasets/onlyaady/FinGuard-Privacy-Benchmark/scripts/llm.py
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curl -L -o llm.py https://huggingface.co/datasets/onlyaady/FinGuard-Privacy-Benchmark/resolve/main/scripts/llm.py
1.64 kB
| """Minimal DeepSeek chat client: reasoning off, JSON output, retries, token accounting.""" | |
| import json, os, threading, time | |
| import requests | |
| URL = "https://api.deepseek.com/chat/completions" | |
| _lock = threading.Lock() | |
| USAGE = {"prompt": 0, "cache_hit": 0, "completion": 0, "calls": 0} | |
| def chat_json(model, system, user, max_tokens=1200, temperature=1.0, retries=6): | |
| body = {"model": model, "temperature": temperature, "max_tokens": max_tokens, | |
| "thinking": {"type": "disabled"}, "response_format": {"type": "json_object"}, | |
| "messages": [{"role": "system", "content": system}, {"role": "user", "content": user}]} | |
| for k in range(retries): | |
| try: | |
| r = requests.post(URL, headers={"Authorization": "Bearer " + os.environ["DEEPSEEK_API_KEY"]}, json=body, timeout=180) | |
| if r.status_code == 200: | |
| j = r.json() | |
| u = j["usage"] | |
| with _lock: | |
| USAGE["prompt"] += u["prompt_tokens"]; USAGE["completion"] += u["completion_tokens"] | |
| USAGE["cache_hit"] += u.get("prompt_cache_hit_tokens", 0); USAGE["calls"] += 1 | |
| return json.loads(j["choices"][0]["message"]["content"]) | |
| if r.status_code not in (429, 500, 502, 503, 504): raise RuntimeError(f"{r.status_code}: {r.text[:200]}") | |
| except (requests.RequestException, json.JSONDecodeError): | |
| pass | |
| time.sleep(2 ** k) | |
| raise RuntimeError("LLM call failed after retries") | |
| def usage_line(): | |
| u = USAGE | |
| return f"calls={u['calls']} prompt={u['prompt']} (cached {u['cache_hit']}) completion={u['completion']}" | |