Feat: Upgrade LangChain to Version 0.3 #784
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- Updated import paths for 'BaseLLM' to 'langchain_core.language_models.llms' across multiple files. - Ensured compatibility with the latest version of LangChain.
- Updated import paths for 'pydantic.v1' to ensure compatibility with the latest version of Pydantic. - Suppressed specific warnings related to protected namespaces in Pydantic models by adding a filter to ignore these warnings.
- Updated version constraints for 'langchain', 'langchain-core', and 'langchain-community' to allow versions up to <0.4.0.
cparisien
approved these changes
Oct 11, 2024
trebedea
approved these changes
Oct 11, 2024
| # We set nvidia_ai_endpoints provider to None because it's only supported if `langchain_nvidia_ai_endpoints` is installed. | ||
| _providers: Dict[str, Type[BaseLanguageModel]] = { | ||
| _providers: Dict[str, Optional[Type[BaseLLM]]] = { |
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Do we need here the Optional?
|
When is this develop going to be release? I believe it is kind of urgent |
Maybe a v 0.10.2 can be released as a patch to cover this issue |
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This pull request makes the necessary changes to upgrade LangChain to version 0.3.
Update Pydantic Import Paths:
pydantic.v1to ensure compatibility with the latest version of Pydantic.Update LangChain Version Constraints:
langchain,langchain-core, andlangchain-communityto allow versions up to <0.4.0.Refactor Import Paths for BaseLLM:
BaseLLMtolangchain_core.language_models.llmsacross multiple files to align with the latest version of LangChain.