Why: every client that wants an LLM (the agent, HTTP-mode mcplocal, Claude
Code's STDIO mcplocal) today has to know the provider URL + key, and each
user's ~/.mcpctl/config.json carries them. Centralising the catalogue on the
server is the prerequisite for Phase 2 (mcpd proxies inference so credentials
never leave the cluster).
This phase adds the `Llm` resource and its CRUD surface — no proxy yet, no
client pivot yet. Just enough to register what you have.
Schema:
- New `Llm` model: name/type/model/url/tier/description + {apiKeySecretId,
apiKeySecretKey} FK pair. Reverse `llms` relation on Secret.
- Provider types: anthropic | openai | deepseek | vllm | ollama | gemini-cli.
- Tiers: fast | heavy.
mcpd:
- LlmRepository + LlmService + Zod validation schema + /api/v1/llms routes.
- API surface exposes `apiKeyRef: {name, key}` — the service translates to/
from the FK pair so clients never deal in cuids.
- `resolveApiKey(llmName)` reads through SecretService (which itself dispatches
to the right SecretBackend). That's the hook Phase 2's inference proxy uses.
- RBAC: added `'llms'` to RBAC_RESOURCES + resource alias. Standard
view/create/edit/delete semantics.
- Wired into main.ts (repo, service, routes).
CLI:
- `mcpctl create llm <name> --type X --model Y --tier fast|heavy --api-key-ref SECRET/KEY [--url ...] [--extra k=v ...]`
- `mcpctl get|describe|delete llm` — standard resource verbs.
- `mcpctl apply -f` with `kind: llm` (single- or multi-doc yaml/json).
Applied after secrets, before servers — apiKeyRef resolves an existing Secret.
- Shell completions regenerated.
Tests: 11 service unit tests + 9 route tests (happy path, 404s, 409, validation).
Full suite 1812/1812 (+20 from the 1792 Phase 0 baseline). TypeScript clean.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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