Source code for langchain.llms.openai
"""Wrapper around OpenAI APIs."""
from __future__ import annotations
import logging
import sys
import warnings
from typing import (
    AbstractSet,
    Any,
    Callable,
    Collection,
    Dict,
    Generator,
    List,
    Literal,
    Mapping,
    Optional,
    Set,
    Tuple,
    Union,
)
from pydantic import Extra, Field, root_validator
from tenacity import (
    before_sleep_log,
    retry,
    retry_if_exception_type,
    stop_after_attempt,
    wait_exponential,
)
from langchain.callbacks.manager import (
    AsyncCallbackManagerForLLMRun,
    CallbackManagerForLLMRun,
)
from langchain.llms.base import BaseLLM
from langchain.schema import Generation, LLMResult
from langchain.utils import get_from_dict_or_env
logger = logging.getLogger(__name__)
def update_token_usage(
    keys: Set[str], response: Dict[str, Any], token_usage: Dict[str, Any]
) -> None:
    """Update token usage."""
    _keys_to_use = keys.intersection(response["usage"])
    for _key in _keys_to_use:
        if _key not in token_usage:
            token_usage[_key] = response["usage"][_key]
        else:
            token_usage[_key] += response["usage"][_key]
def _update_response(response: Dict[str, Any], stream_response: Dict[str, Any]) -> None:
    """Update response from the stream response."""
    response["choices"][0]["text"] += stream_response["choices"][0]["text"]
    response["choices"][0]["finish_reason"] = stream_response["choices"][0][
        "finish_reason"
    ]
rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/llms/openai.html