| import os |
| from time import sleep |
|
|
| try: |
| from anthropic import Anthropic |
| except ImportError as e: |
| pass |
|
|
| from lcb_runner.runner.base_runner import BaseRunner |
|
|
|
|
| class Claude3Runner(BaseRunner): |
| client = Anthropic(api_key=os.getenv("ANTHROPIC_KEY"), timeout=1200) |
|
|
| def __init__(self, args, model): |
| super().__init__(args, model) |
| if "Thinking" in model.model_style.value: |
| self.client_kwargs: dict[str | str] = { |
| "model": args.model, |
| "max_tokens": 32000, |
| "thinking": {"type": "enabled", "budget_tokens": 24000}, |
| "stream": False, |
| } |
| else: |
| self.client_kwargs: dict[str | str] = { |
| "model": args.model, |
| "temperature": args.temperature, |
| "max_tokens": args.max_tokens, |
| "top_p": args.top_p, |
| } |
|
|
| def _run_single(self, prompt: tuple[str, str]) -> list[str]: |
|
|
| def __run_single(counter): |
| try: |
| response = self.client.messages.create( |
| system=prompt[0], |
| messages=prompt[1], |
| **self.client_kwargs, |
| ) |
| content = "\n".join( |
| [ |
| getattr(x, "text", getattr(x, "thinking", "\nREDACTED\n")) |
| for x in response.content |
| ] |
| ) |
| return content |
| except Exception as e: |
| print("Exception: ", repr(e), "Sleeping for 20 seconds...") |
| sleep(20 * (11 - counter)) |
| counter = counter - 1 |
| if counter == 0: |
| print(f"Failed to run model for {prompt}!") |
| print("Exception: ", repr(e)) |
| raise e |
| return __run_single(counter) |
|
|
| outputs = [] |
| try: |
| for _ in range(self.args.n): |
| outputs.append(__run_single(10)) |
| except Exception as e: |
| raise e |
|
|
| return outputs |
|
|