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Custom Model Support differs between agents and tools

Open deanchanter opened this issue 10 months ago • 3 comments

Why do the agents use langchain-type models, and tools use embedchain for custom models? This is confusing and limits the tools' flexibility since the embedchain does not support the number of LLMs that the langchain does, including BYOM.

deanchanter avatar Apr 23 '24 11:04 deanchanter

Can you explain what you mean by langchain-type models?

theCyberTech avatar Apr 23 '24 11:04 theCyberTech

https://python.langchain.com/docs/integrations/llms/

deanchanter avatar Apr 23 '24 11:04 deanchanter

I see what you mean, Im not sure as to design decision but your are not limited to that you can import any langchain integration LLM, Embeddings, Tools, Vector storage etc as use them

theCyberTech avatar Apr 23 '24 12:04 theCyberTech

This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 5 days.

github-actions[bot] avatar Aug 17 '24 12:08 github-actions[bot]

This issue was closed because it has been stalled for 5 days with no activity.

github-actions[bot] avatar Aug 22 '24 12:08 github-actions[bot]