Comments (2)
One idea is that we could provide a Mixin or Decorator that automatically wires up certain properties based on the configuration specified. That way, if someone wants a different behavior, there's a path to customize it without introducing breaking changes.
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I noticed that the various chat models are all grouped in this folder: https://github.com/devinbost/langchain/tree/d266b3ea4a5dc85fe895b93090d89aa311f8c48e/libs/langchain/langchain/chat_models
For conversational memory and other such features, they're extremely useful, and I'd expect the list of them to grow quickly. The base LLMs are more primitive models, so often once someone gets beyond the initial case of API integration with a base model, they then want things like conversational memory, and that's where the chat models are really useful.
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Related Issues (20)
- mini-langstream getting started (deploy sample app) fails with: Missing required option: '--instance=<instanceFilePath>'
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- redirection to a forbidden domain happened without slash suffix character in the web crawler HOT 1
- Provisioned disks for custom agent permission denied HOT 3
- RESOURCE_EXHAUSTED in python-source agent HOT 8
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- langstream python run-tests should quote all arguments
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