mirror of
https://github.com/hwchase17/langchain
synced 2024-10-29 17:07:25 +00:00
4be2f9d75a
seems linkchecker isn't catching them because it runs on generated html. at that point the links are already missing. the generation process seems to strip invalid references when they can't be re-written from md to html. I used https://github.com/tcort/markdown-link-check to check the doc source directly. There are a few false positives on localhost for development.
50 lines
2.0 KiB
Markdown
50 lines
2.0 KiB
Markdown
# 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"])
|
|
```
|
|
|
|
To get the PromptLayer request id, use the argument `return_pl_id` when instanializing the LLM
|
|
```python
|
|
from langchain.llms import PromptLayerOpenAI
|
|
llm = PromptLayerOpenAI(return_pl_id=True)
|
|
```
|
|
This will add the PromptLayer request ID in the `generation_info` field of the `Generation` returned when using `.generate` or `.agenerate`
|
|
|
|
For example:
|
|
```python
|
|
llm_results = llm.generate(["hello world"])
|
|
for res in llm_results.generations:
|
|
print("pl request id: ", res[0].generation_info["pl_request_id"])
|
|
```
|
|
You can use the PromptLayer request ID to add a prompt, score, or other metadata to your request. [Read more about it here](https://magniv.notion.site/Track-4deee1b1f7a34c1680d085f82567dab9).
|
|
|
|
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).
|
|
|
|
|
|
PromptLayer also provides native wrappers for [`PromptLayerChatOpenAI`](../modules/models/chat/integrations/promptlayer_chatopenai.ipynb) and `PromptLayerOpenAIChat`
|