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docs: ecosystem/integrations update 5 (#5752)

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- added missed integration to `docs/ecosystem/integrations/`
- updated notebooks to consistent format: changed titles, file names;
added descriptions

#### Who can review?
 @hwchase17 
 @dev2049
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Leonid Ganeline
2023-06-05 16:08:55 -07:00
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docs/integrations/promptlayer.md
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@@ -1,31 +1,35 @@
# 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.
>[PromptLayer](https://docs.promptlayer.com/what-is-promptlayer/wxpF9EZkUwvdkwvVE9XEvC/how-promptlayer-works/dvgGSxNe6nB1jj8mUVbG8r)
> is a devtool that allows you to track, manage, and share your GPT prompt engineering.
> It acts as a middleware between your code and OpenAI's python library, recording all your API requests
> and saving relevant metadata for easy exploration and search in the [PromptLayer](https://www.promptlayer.com) dashboard.
## Installation and Setup
If you want to work with PromptLayer:
- Install the promptlayer python library `pip install promptlayer`
- Install the `promptlayer` python library
```bash
pip install promptlayer
```
- Create a PromptLayer account
- Create an api token and set it as an environment variable (`PROMPTLAYER_API_KEY`)
## Wrappers
### LLM
## 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
### Example
To tag your requests, use the argument `pl_tags` when instantiating the LLM
```python
from langchain.llms import PromptLayerOpenAI
llm = PromptLayerOpenAI(pl_tags=["langchain-requests", "chatbot"])
```
To get the PromptLayer request id, use the argument `return_pl_id` when instanializing the LLM
To get the PromptLayer request id, use the argument `return_pl_id` when instantiating the LLM
```python
from langchain.llms import PromptLayerOpenAI
llm = PromptLayerOpenAI(return_pl_id=True)
@@ -42,8 +46,14 @@ You can use the PromptLayer request ID to add a prompt, score, or other metadata
This LLM is identical to the [OpenAI LLM](./openai.md), 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
- you can add `return_pl_id` when instantializing to return a PromptLayer request id to use [while tracking requests](https://magniv.notion.site/Track-4deee1b1f7a34c1680d085f82567dab9).
- you can add `pl_tags` when instantiating to tag your requests on PromptLayer
- you can add `return_pl_id` when instantiating to return a PromptLayer request id to use [while tracking requests](https://magniv.notion.site/Track-4deee1b1f7a34c1680d085f82567dab9).
## Chat Model
```python
from langchain.chat_models import PromptLayerChatOpenAI
```
See a [usage example](../modules/models/chat/integrations/promptlayer_chatopenai.ipynb).
PromptLayer also provides native wrappers for [`PromptLayerChatOpenAI`](../modules/models/chat/integrations/promptlayer_chatopenai.ipynb) and `PromptLayerOpenAIChat`