langchain/docs/versioned_docs/version-0.2.x/integrations/providers/promptlayer.mdx

# PromptLayer

>[PromptLayer](https://docs.promptlayer.com/introduction) is a platform for prompt engineering. 
> It also helps with the LLM observability to visualize requests, version prompts, and track usage.
>
>While `PromptLayer` does have LLMs that integrate directly with LangChain (e.g. 
> [`PromptLayerOpenAI`](https://docs.promptlayer.com/languages/langchain)), 
> using a callback is the recommended way to integrate `PromptLayer` with LangChain.

## Installation and Setup

To work with `PromptLayer`, we have to:
- Create a `PromptLayer` account
- Create an api token and set it as an environment variable (`PROMPTLAYER_API_KEY`)

Install a Python package:

```bash
pip install promptlayer
```


## Callback

See a [usage example](/docs/integrations/callbacks/promptlayer).

```python
import promptlayer  # Don't forget this import!
from langchain.callbacks import PromptLayerCallbackHandler
```


## LLM

See a [usage example](/docs/integrations/llms/promptlayer_openai).

```python
from langchain_community.llms import PromptLayerOpenAI
```


## Chat Models

See a [usage example](/docs/integrations/chat/promptlayer_chatopenai).

```python
from langchain_community.chat_models import PromptLayerChatOpenAI
```