Migrate to langchain-aws for AWS providers
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JasonWeill
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packages/jupyter-ai-magics/jupyter_ai_magics/partner_providers/aws.py
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Co-authored-by: Jason Weill <[email protected]>
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Co-authored-by: Piyush Jain <[email protected]>
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Reviewed the code, tested examples for chat, learn, ask, export, using different LLMs such as Claude and Mistral, which are moved to aws.py.
One small non-blocking (non-regressive) issue relating to the SmEndpointProvider class. Tried it with Llama3.1 and it works in the magics,
But throws an error in the chat invocation.
This may be related to the new Llama3.1 models and to be further explored.
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* migrate to langchain-aws * pre-commit * update aws provider dependencies in docs * correct SM endpoints docs URL Co-authored-by: Jason Weill <[email protected]> * add new Cohere model IDs to BedrockEmbeddings Co-authored-by: Piyush Jain <[email protected]> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * use BedrockLLM instead of Bedrock class * add Amazon, Meta, Mistral models to BedrockChatProvider * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: Jason Weill <[email protected]> Co-authored-by: Piyush Jain <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Description
langchain-awspackage.Demo
Screen.Recording.2024-07-24.at.3.39.54.PM.mov