Type this exactly: cat /opt/ai-lab/gateway/request.json
cat /opt/ai-lab/gateway/request.json
List served models through a bounded evidence-first AI operations workflow in the training lab.
Inference requests and APIscat /opt/ai-lab/gateway/request.jsonaiops traces summary list-served-modelscurl http://127.0.0.1:8080/v1/models
Click any instruction for the command details, the why, and the common mistake to avoid.
Type this exactly: cat /opt/ai-lab/gateway/request.json
cat /opt/ai-lab/gateway/request.json
Type this exactly: aiops traces summary list-served-models
aiops traces summary list-served-models
Type this exactly: curl http://127.0.0.1:8080/v1/models
curl http://127.0.0.1:8080/v1/models
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Use commands and observable output to explain list served models without changing a real model or service.
Start with cat /opt/ai-lab/gateway/request.json. Then run aiops traces summary list-served-models before collecting the final evidence.
List served models is an operator skill because AI behavior must be connected to versioned configuration, runtime state, and inspectable evidence.
aiops models
Inspect the simulated model catalog, manifests, and version comparisons.
aiops prompts
Review versioned prompt metadata and deterministic prompt diffs.
aiops evals
Run and inspect bounded evaluation fixtures without model execution.
aiops rag
Inspect retrieval documents, chunks, index status, and reviewed results.
aiops traces
Read deterministic request traces, summaries, and latency evidence.
aiops guardrails
Review simulated guardrail policies, checks, and audit summaries.
aiops cost
Estimate cost and capacity from fixed training metrics.
aiops incidents
Review incident timelines, evidence bundles, and operator notes.
curl
Read only fixed loopback training endpoints; external URLs and request bodies are blocked.