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

[FEAT]: VertexAI Support as LLM #771

Open
timothycarambat opened this issue Feb 21, 2024 · 3 comments
Open

[FEAT]: VertexAI Support as LLM #771

timothycarambat opened this issue Feb 21, 2024 · 3 comments
Labels
enhancement New feature or request feature request Integration Request Request for support of a new LLM, Embedder, or Vector database

Comments

@timothycarambat
Copy link
Member

What would you like to see?

Add support for GCP's VertexAI provider.
Docs: https://cloud.google.com/vertex-ai/docs/generative-ai/learn/overview#gen-ai-studio

This may be quite complex to support given the nature of Vertex and how it can run multiple models. Functionally, this is probably quite similar to AWS BedRock models

@timothycarambat timothycarambat added the Integration Request Request for support of a new LLM, Embedder, or Vector database label Sep 19, 2024
@SeaDude
Copy link

SeaDude commented Oct 30, 2024

This would be lovely.

Example: I'm still waiting for Claude access in my AWS account (because AWS makes you contact support ((boooo!)) ), but I was immediately granted access in my Google Vertex account.

I mean I could just pipe in my Anthropic API key but... the data privacy and security are not guaranteed by the cloud provider (important to me).

@chronometer
Copy link

This would be amazing.
Especially as you can launch models from huggingface models via VertexAI.

@Divyanshu9822
Copy link

I came to AnythingLLM looking for this because I also want to run Claude Sonnet via APIs but I prefer to use this via Vertex AI

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request feature request Integration Request Request for support of a new LLM, Embedder, or Vector database
Projects
None yet
Development

No branches or pull requests

4 participants