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from typing import Any, Optional | |
from anthropic import AsyncAnthropic | |
from pydantic import BaseModel | |
class AbstractPrompt(BaseModel): | |
def to_string(self) -> str: | |
raise NotImplementedError | |
class HumanAssistantPrompt(AbstractPrompt): | |
assistant_prompt: str | |
human_prompt: str | |
def to_string(self) -> str: | |
return ( | |
f"""\n\nHuman: {self.human_prompt}\n\nAssistant: {self.assistant_prompt}""" | |
) | |
class ClaudeService: | |
def __init__(self, api_key: Optional[str], model: str = "claude-2"): | |
self.claude = AsyncAnthropic(api_key=api_key) | |
self.model = model | |
async def completion( | |
self, | |
prompt: AbstractPrompt, | |
max_tokens_to_sample: int, | |
temperature: int = 0, | |
**kwargs: Any, | |
) -> str: | |
return ( | |
await self.claude.completions.create( | |
model=self.model, | |
prompt=prompt.to_string(), | |
max_tokens_to_sample=max_tokens_to_sample, | |
temperature=temperature, | |
**kwargs, | |
) | |
).completion.strip() | |