|
| 1 | +""" |
| 2 | +API Token Burner — 交互式配置 + 多线程版 |
| 3 | +""" |
| 4 | + |
| 5 | +import anthropic |
| 6 | +import time |
| 7 | +import threading |
| 8 | +from concurrent.futures import ThreadPoolExecutor, as_completed |
| 9 | + |
| 10 | +lock = threading.Lock() |
| 11 | +stats = {"input": 0, "output": 0, "requests": 0, "errors": 0} |
| 12 | +stop_flag = threading.Event() |
| 13 | + |
| 14 | +BURN_PROMPT = ( |
| 15 | + "Explain in detail how the internet works, including TCP/IP, DNS, HTTP, " |
| 16 | + "TLS handshake, CDN, load balancing, and BGP routing. " |
| 17 | + "Give concrete examples for each concept. Be thorough and detailed." |
| 18 | +) |
| 19 | + |
| 20 | +def ask(prompt, default=None, cast=str): |
| 21 | + suffix = f" [{default}]" if default is not None else "" |
| 22 | + while True: |
| 23 | + val = input(f"{prompt}{suffix}: ").strip() |
| 24 | + if val == "" and default is not None: |
| 25 | + return default |
| 26 | + if val == "": |
| 27 | + print(" ⚠ 不能为空,请重新输入") |
| 28 | + continue |
| 29 | + try: |
| 30 | + return cast(val) |
| 31 | + except ValueError: |
| 32 | + print(f" ⚠ 请输入有效的数字") |
| 33 | + |
| 34 | +def single_request(client, model, max_tokens, thread_id): |
| 35 | + if stop_flag.is_set(): |
| 36 | + return |
| 37 | + |
| 38 | + try: |
| 39 | + response = client.messages.create( |
| 40 | + model=model, |
| 41 | + max_tokens=max_tokens, |
| 42 | + messages=[{"role": "user", "content": BURN_PROMPT}], |
| 43 | + ) |
| 44 | + in_tok = response.usage.input_tokens |
| 45 | + out_tok = response.usage.output_tokens |
| 46 | + with lock: |
| 47 | + stats["input"] += in_tok |
| 48 | + stats["output"] += out_tok |
| 49 | + stats["requests"] += 1 |
| 50 | + total = stats["input"] + stats["output"] |
| 51 | + print(f" [T{thread_id:02d}] ✓ in={in_tok:,} out={out_tok:,} | cumulative={total:,}") |
| 52 | + |
| 53 | + except anthropic.RateLimitError: |
| 54 | + with lock: |
| 55 | + stats["errors"] += 1 |
| 56 | + print(f" [T{thread_id:02d}] ⚠ Rate limit — waiting 5s...") |
| 57 | + time.sleep(5) |
| 58 | + |
| 59 | + except anthropic.APIStatusError as e: |
| 60 | + with lock: |
| 61 | + stats["errors"] += 1 |
| 62 | + print(f" [T{thread_id:02d}] ✗ {e.status_code}: {e.message}") |
| 63 | + if e.status_code == 402: |
| 64 | + stop_flag.set() |
| 65 | + raise |
| 66 | + |
| 67 | + except Exception as e: |
| 68 | + with lock: |
| 69 | + stats["errors"] += 1 |
| 70 | + print(f" [T{thread_id:02d}] ✗ {type(e).__name__}: {e}") |
| 71 | + |
| 72 | +def print_summary(batch): |
| 73 | + print("\n" + "=" * 60) |
| 74 | + print(f" Batches : {batch}") |
| 75 | + print(f" Requests : {stats['requests']}") |
| 76 | + print(f" Errors : {stats['errors']}") |
| 77 | + print(f" Input tok : {stats['input']:,}") |
| 78 | + print(f" Output tok : {stats['output']:,}") |
| 79 | + print(f" Total tok : {stats['input'] + stats['output']:,}") |
| 80 | + print("=" * 60) |
| 81 | + |
| 82 | +def main(): |
| 83 | + print("=" * 60) |
| 84 | + print(" API Token Burner — 交互式配置") |
| 85 | + print("=" * 60) |
| 86 | + print() |
| 87 | + |
| 88 | + base_url = ask("Base URL ", default="https://api.anthropic.com") |
| 89 | + api_key = ask("API Key ") |
| 90 | + model = ask("Model ", default="claude-haiku-4-5-20251001") |
| 91 | + threads = ask("并发线程数 ", default=5, cast=int) |
| 92 | + max_tokens = ask("每个请求 output tokens", default=2000, cast=int) |
| 93 | + |
| 94 | + print() |
| 95 | + print("=" * 60) |
| 96 | + print(f" Base URL : {base_url}") |
| 97 | + print(f" Model : {model}") |
| 98 | + print(f" Threads : {threads}") |
| 99 | + print(f" Max out : {max_tokens} tokens/request") |
| 100 | + print("=" * 60) |
| 101 | + print(" 开始执行,Ctrl+C 随时停止\n") |
| 102 | + |
| 103 | + client = anthropic.Anthropic( |
| 104 | + api_key=api_key, |
| 105 | + base_url=base_url, |
| 106 | + timeout=120.0, |
| 107 | + ) |
| 108 | + |
| 109 | + batch = 0 |
| 110 | + try: |
| 111 | + while not stop_flag.is_set(): |
| 112 | + batch += 1 |
| 113 | + print(f"--- Batch #{batch} ({threads} concurrent) ---") |
| 114 | + with ThreadPoolExecutor(max_workers=threads) as executor: |
| 115 | + futures = { |
| 116 | + executor.submit(single_request, client, model, max_tokens, i+1): i |
| 117 | + for i in range(threads) |
| 118 | + } |
| 119 | + for future in as_completed(futures): |
| 120 | + try: |
| 121 | + future.result() |
| 122 | + except anthropic.APIStatusError as e: |
| 123 | + if e.status_code == 402: |
| 124 | + print("\n💸 余额已耗尽!") |
| 125 | + stop_flag.set() |
| 126 | + |
| 127 | + if stop_flag.is_set(): |
| 128 | + break |
| 129 | + |
| 130 | + time.sleep(0.3) |
| 131 | + |
| 132 | + except KeyboardInterrupt: |
| 133 | + print("\n⏹ 手动停止。") |
| 134 | + |
| 135 | + print_summary(batch) |
| 136 | + |
| 137 | +if __name__ == "__main__": |
| 138 | + main() |
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