Source code for langchain.llms.promptlayer_openai
import datetime
from typing import Any, List, Optional
from langchain.callbacks.manager import (
    AsyncCallbackManagerForLLMRun,
    CallbackManagerForLLMRun,
)
from langchain.llms import OpenAI, OpenAIChat
from langchain.schema import LLMResult
[docs]class PromptLayerOpenAI(OpenAI):
    """PromptLayer OpenAI large language models.
    To use, you should have the ``openai`` and ``promptlayer`` python
    package installed, and the environment variable ``OPENAI_API_KEY``
    and ``PROMPTLAYER_API_KEY`` set with your openAI API key and
    promptlayer key respectively.
    All parameters that can be passed to the OpenAI LLM can also
    be passed here. The PromptLayerOpenAI LLM adds two optional
    parameters:
        ``pl_tags``: List of strings to tag the request with.
        ``return_pl_id``: If True, the PromptLayer request ID will be
            returned in the ``generation_info`` field of the
            ``Generation`` object.
    Example:
        .. code-block:: python
            from langchain.llms import PromptLayerOpenAI
            openai = PromptLayerOpenAI(model_name="text-davinci-003")
    """
    pl_tags: Optional[List[str]]
    return_pl_id: Optional[bool] = False
    def _generate(
        self,
        prompts: List[str],
        stop: Optional[List[str]] = None,
        run_manager: Optional[CallbackManagerForLLMRun] = None,
        **kwargs: Any,
    ) -> LLMResult:
        """Call OpenAI generate and then call PromptLayer API to log the request."""