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corrected spelling (#62) (#10816)

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Aashish Saini 2023-09-20 10:11:49 +05:30 committed by GitHub
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6
docs/extras/integrations/providers/promptlayer.mdx
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@ -19,13 +19,13 @@ There exists an PromptLayer OpenAI LLM wrapper, which you can access with
from langchain.llms import PromptLayerOpenAI
```
To tag your requests, use the argument `pl_tags` when instanializing the LLM
To tag your requests, use the argument `pl_tags` when initializing 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 initializing the LLM
```python
from langchain.llms import PromptLayerOpenAI
llm = PromptLayerOpenAI(return_pl_id=True)
@ -42,7 +42,7 @@ You can use the PromptLayer request ID to add a prompt, score, or other metadata
This LLM is identical to the [OpenAI](/docs/ecosystem/integrations/openai.html) LLM, 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 `pl_tags` when instantiating 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).