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# 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 | |