Safe deployment operations for Sparkstation. Profile switching with drain/health-check, rolling model updates, Docker image rebuilds, full stop/start, and rollback. Use when asked to "deploy", "switch profile", "restart sparkstation", "update model", "rebuild…
Benchmark inference throughput and latency for Sparkstation models. Measures TTFT, tokens/sec, p50/p95/p99 latency, and embedding throughput. Use when asked to "benchmark", "measure latency", "test throughput", or "profile inference performance".
Validate models.yaml profiles for correctness, consistency, and resource feasibility. Checks memory limits, alias collisions, required args, backend compatibility. Use when asked to "lint config", "validate models.yaml", "check config", or before deploying a…
One-command health check for Sparkstation. Shows GPU status, model states, container health, recent log errors, memory usage, and thermal status. Use when asked to "diagnose", "check health", "what's wrong", "system status", or "why is X slow/broken".
End-to-end integration tests for Sparkstation. Tests the full pipeline from gateway through supervisor to model backends. Use when asked to "run integration tests", "test the full pipeline", "verify everything works", or "smoke test".
Analyze Sparkstation logs to find patterns, errors, model restarts, startup times, and anomalies. Use when asked to "analyze logs", "what errors happened", "why did X restart", "show startup times", or "log report".
Profile actual GPU memory usage per model and compare to declared memory_gb in models.yaml. Identifies waste, tight allocations, and optimization opportunities. Use when asked to "profile memory", "check memory usage", "optimize memory", or "how much memory…
Security audit for Sparkstation. Checks API auth, exposed ports, env file permissions, container privileges, network binding, and secrets. Use when asked to "audit security", "check for vulnerabilities", "is this secure", or "review security settings".