managed-model-endpoints
Register or audit Feynman-managed model endpoints. Use when a research workflow needs a local or remote model service, endpoint health checks, credential refs, startup scripts, or inference routing.
72
Quality
89%
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Securityby
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Managed Model Endpoints
Use this skill to make a model endpoint usable from Feynman.
Workflow:
- Define the endpoint purpose, model family, input/output schema, auth method, hardware need, and expected latency.
- Record whether the endpoint is local, remote HTTP, Modal-backed, SSH-backed, or a custom connector.
- Add only non-secret endpoint metadata to settings. Store secret references as environment variable names or credential refs.
- Implement start/stop/health/inference checks when Feynman owns the endpoint lifecycle.
- Run a tiny inference smoke and save request/response shape without leaking secrets.
Expose endpoints as research infrastructure, not as permanent claims that a model is installed when health has not passed.
- Repository
- companion-inc/feynman
- Commit
95c51d9
- Last updated
- First committed
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.