Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Custom Model Support differs between agents and tools #497

Open
deanchanter opened this issue Apr 23, 2024 · 3 comments
Open

Custom Model Support differs between agents and tools #497

deanchanter opened this issue Apr 23, 2024 · 3 comments

Comments

@deanchanter
Copy link

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.

@theCyberTech
Copy link

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

@deanchanter
Copy link
Author

@theCyberTech
Copy link

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

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants