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66 lines
2.0 KiB
Python
66 lines
2.0 KiB
Python
"""Wrapper around OpenAI APIs."""
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import os
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from typing import Any, Dict, List, Mapping, Optional
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from pydantic import BaseModel, Extra, root_validator
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from langchain.llms.base import LLM
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class OpenAI(BaseModel, LLM):
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"""Wrapper around OpenAI large language models."""
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client: Any
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model_name: str = "text-davinci-002"
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temperature: float = 0.7
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max_tokens: int = 256
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top_p: int = 1
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frequency_penalty: int = 0
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presence_penalty: int = 0
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n: int = 1
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best_of: int = 1
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class Config:
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"""Configuration for this pydantic object."""
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extra = Extra.forbid
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@root_validator()
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that api key and python package exists in environment."""
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if "OPENAI_API_KEY" not in os.environ:
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raise ValueError(
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"Did not find OpenAI API key, please add an environment variable"
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" `OPENAI_API_KEY` which contains it."
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)
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try:
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import openai
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values["client"] = openai.Completion
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except ImportError:
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raise ValueError(
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"Could not import openai python package. "
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"Please it install it with `pip install openai`."
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)
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return values
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@property
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def default_params(self) -> Mapping[str, Any]:
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"""Get the default parameters for calling OpenAI API."""
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return {
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"temperature": self.temperature,
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"max_tokens": self.max_tokens,
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"top_p": self.top_p,
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"frequency_penalty": self.frequency_penalty,
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"presence_penalty": self.presence_penalty,
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"n": self.n,
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"best_of": self.best_of,
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}
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def __call__(self, prompt: str, stop: Optional[List[str]] = None) -> str:
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"""Call out to OpenAI's create endpoint."""
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response = self.client.create(
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model=self.model_name, prompt=prompt, stop=stop, **self.default_params
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)
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return response["choices"][0]["text"]
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