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[Feature]: Admin defined global LLM catalog for provider. #1

Description

@atharvamhaske

Summary

Think of this as persona: an internal senior Admin defines a curated LLM catalog at Helm install time. Those models show up in the OpenEverest UI as a dropdown so users/developers deploy with one click (no raw YAML). Inference stays OpenAI-compatible for end users; they offload config manifests to OpenEverest + KubeAI via provider-kubeai.

Why

KubeAI’s model catalog is install-time. Today the provider only exposes free-text source/profile fields. Catalog models configured at install must also appear in the UI.

Scope

  • Add Helm modelCatalog (or equivalent) with curated entries (name, source, engine/version, resource profile, defaults).
  • Surface catalog on the Provider CR so UI can bind a select (optionsPath).
  • UI: model dropdown from catalog; optional advanced/raw fields.
  • Sync still creates a correct KubeAI Model; clients use /openai/v1/... as usual.
  • Docs for Admin catalog + user pick flow (changes = Helm upgrade).

Checklist

  • Admin can set catalog in Helm (e.g. Ollama + Deepseek).
  • Catalog models appear in Everest UI dropdown.
  • Instance from catalog needs no hand-edited source YAML.
  • Sync → valid KubeAI Model; OpenAI API works.
  • Docs cover install-time catalog semantics.

Additional notes

Touch points: topology.yaml (UI), versions.yaml (engine versions ≠ model catalog), charts/provider-kubeai/values.yaml, deploy/kubeai/values-gpu.yaml.

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