Skip to content

πŸ—‚ VCell-AI β€” AI discovery/analysis platformΒ #71

Description

@jcschaff

πŸ—‚ Master issue β€” VCell-AI Β· on the VCell board.

Why β€” Make VCell models and simulation results discoverable and analyzable through natural-language / AI assistance, lowering the barrier for researchers to find, understand, and work with VCell content.

What β€” An AI-powered discovery/analysis platform for VCell: an authenticated web service with an LLM gateway, deployed to Kubernetes, with an on-prem LLM hosting option.

Scope β€” virtualcell/VCell-AI (frontend + backend).

How β€” Auth0 authentication (+ Supabase); an LLM gateway (LiteLLM) with observability (Langfuse) and local models (Ollama); Kubernetes deployment via kustomize + sealed secrets. A GSoC student is involved.

Status / active

  • βœ… Auth0 auth, k8s deployment, backend test structure; ported to the VxRails Kubernetes cluster.
  • πŸ”΄ Blocker to go operational: DNS β€” vcell-ai.cam.uchc.edu and vcell-ai-dev.cam.uchc.edu must point at the VxRails cluster's ingress node.
  • πŸ”² Local LLM hosting on the HPC cluster, exposed via an AI router (serve models from on-prem HPC, not only external providers).

Coordination inbox: comment with progress/handoffs (what moved + PR/commit links); the lead posts a periodic status summary.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Fields

    No fields configured for issues without a type.

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions