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reflexion-human-eval/alfworld_runs/utils.py

52 lines
1.5 KiB
Python

import os
import sys
import openai
from tenacity import (
retry,
stop_after_attempt, # type: ignore
wait_random_exponential, # type: ignore
)
from typing import Optional, List
if sys.version_info >= (3, 8):
from typing import Literal
else:
from typing_extensions import Literal
Model = Literal["gpt-4", "gpt-3.5-turbo", "text-davinci-003"]
openai.api_key = os.getenv('OPENAI_API_KEY')
@retry(wait=wait_random_exponential(min=1, max=60), stop=stop_after_attempt(6))
def get_completion(prompt: str, temperature: float = 0.0, max_tokens: int = 256, stop_strs: Optional[List[str]] = None) -> str:
response = openai.Completion.create(
model='text-davinci-003',
prompt=prompt,
temperature=temperature,
max_tokens=max_tokens,
top_p=1,
frequency_penalty=0.0,
presence_penalty=0.0,
stop=stop_strs,
)
return response.choices[0].text
@retry(wait=wait_random_exponential(min=1, max=60), stop=stop_after_attempt(6))
def get_chat(prompt: str, model: Model, temperature: float = 0.0, max_tokens: int = 256, stop_strs: Optional[List[str]] = None, is_batched: bool = False) -> str:
assert model != "text-davinci-003"
messages = [
{
"role": "user",
"content": prompt
}
]
response = openai.ChatCompletion.create(
model=model,
messages=messages,
max_tokens=max_tokens,
stop=stop_strs,
temperature=temperature,
)
return response.choices[0]["message"]["content"]