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Migrate to langchain-aws
for AWS providers
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packages/jupyter-ai-magics/jupyter_ai_magics/partner_providers/aws.py
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Co-authored-by: Jason Weill <93281816+JasonWeill@users.noreply.github.com>
packages/jupyter-ai-magics/jupyter_ai_magics/partner_providers/aws.py
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packages/jupyter-ai-magics/jupyter_ai_magics/partner_providers/aws.py
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Co-authored-by: Piyush Jain <piyushjain@duck.com>
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
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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.
* migrate to langchain-aws * pre-commit * update aws provider dependencies in docs * correct SM endpoints docs URL Co-authored-by: Jason Weill <93281816+JasonWeill@users.noreply.github.com> * add new Cohere model IDs to BedrockEmbeddings Co-authored-by: Piyush Jain <piyushjain@duck.com> * [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 <93281816+JasonWeill@users.noreply.github.com> Co-authored-by: Piyush Jain <piyushjain@duck.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Description
langchain-aws
package.Demo
Screen.Recording.2024-07-24.at.3.39.54.PM.mov