File size: 2,081 Bytes
6cf60f3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 | 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
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