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@ -19,13 +19,13 @@ There exists an PromptLayer OpenAI LLM wrapper, which you can access with
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from langchain.llms import PromptLayerOpenAI
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from langchain.llms import PromptLayerOpenAI
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```
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```
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To tag your requests, use the argument `pl_tags` when instanializing the LLM
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To tag your requests, use the argument `pl_tags` when initializing the LLM
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```python
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```python
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from langchain.llms import PromptLayerOpenAI
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from langchain.llms import PromptLayerOpenAI
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llm = PromptLayerOpenAI(pl_tags=["langchain-requests", "chatbot"])
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llm = PromptLayerOpenAI(pl_tags=["langchain-requests", "chatbot"])
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```
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```
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To get the PromptLayer request id, use the argument `return_pl_id` when instanializing the LLM
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To get the PromptLayer request id, use the argument `return_pl_id` when initializing the LLM
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```python
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```python
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from langchain.llms import PromptLayerOpenAI
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from langchain.llms import PromptLayerOpenAI
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llm = PromptLayerOpenAI(return_pl_id=True)
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llm = PromptLayerOpenAI(return_pl_id=True)
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@ -42,7 +42,7 @@ You can use the PromptLayer request ID to add a prompt, score, or other metadata
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This LLM is identical to the [OpenAI](/docs/ecosystem/integrations/openai.html) LLM, except that
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This LLM is identical to the [OpenAI](/docs/ecosystem/integrations/openai.html) LLM, except that
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- all your requests will be logged to your PromptLayer account
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- all your requests will be logged to your PromptLayer account
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- you can add `pl_tags` when instantializing to tag your requests on PromptLayer
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- you can add `pl_tags` when instantiating to tag your requests on PromptLayer
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- 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).
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- 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).
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