| # PromptLayer | |
| This page covers how to use [PromptLayer](https://www.promptlayer.com) 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 | |
| ```python | |
| from langchain.llms import PromptLayerOpenAI | |
| ``` | |
| To tag your requests, use the argument `pl_tags` when instanializing the LLM | |
| ```python | |
| from langchain.llms import PromptLayerOpenAI | |
| llm = PromptLayerOpenAI(pl_tags=["langchain-requests", "chatbot"]) | |
| ``` | |
| This LLM is identical to the [OpenAI LLM](./openai), 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 | |