langchain/docs/ecosystem/promptlayer.md
Harrison Chase 88bebb4caa
Harrison/llm integrations (#1039)
Co-authored-by: jped <jonathanped@gmail.com>
Co-authored-by: Justin Torre <justintorre75@gmail.com>
Co-authored-by: Ivan Vendrov <ivan@anthropic.com>
2023-02-13 22:06:25 -08:00

1.0 KiB

PromptLayer

This page covers how to use PromptLayer within LangChain. It is broken into two parts: installation and setup, and then references to specific PromptLayer wrappers.

Installation and Setup

If you want to work with PromptLayer:

  • Install the promptlayer python library pip install promptlayer
  • Create a PromptLayer account
  • Create an api token and set it as an environment variable (PROMPTLAYER_API_KEY)

Wrappers

LLM

There exists an PromptLayer OpenAI LLM wrapper, which you can access with

from langchain.llms import PromptLayerOpenAI

To tag your requests, use the argument pl_tags when instanializing the LLM

from langchain.llms import PromptLayerOpenAI
llm = PromptLayerOpenAI(pl_tags=["langchain-requests", "chatbot"])

This LLM is identical to the OpenAI LLM, except that

  • all your requests will be logged to your PromptLayer account
  • you can add pl_tags when instantializing to tag your requests on PromptLayer