Type this exactly: cat /opt/ai-lab/gateway/request.json
cat /opt/ai-lab/gateway/request.json
Inference requests and APIs
Distinguish client and server errors
Distinguish client and server errors through a bounded evidence-first AI operations workflow in the training lab.
Inference requests and APIscat /opt/ai-lab/gateway/request.jsonaiops traces latency distinguish-client-and-server-errorscurl http://127.0.0.1:8080/metrics
Lesson 49 of 180
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Inference requests and APIs · 8 min
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learner@aiops:/home/learner $
AI operations lab: type a command, press Enter
Instructions
8 min
Click any instruction for the command details, the why, and the common mistake to avoid.
Type this exactly: aiops traces latency distinguish-client-and-server-errors
aiops traces latency distinguish-client-and-server-errors
Type this exactly: curl http://127.0.0.1:8080/metrics
curl http://127.0.0.1:8080/metrics
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Lesson support
What to notice while you play.
Use commands and observable output to explain distinguish client and server errors without changing a real model or service.
Start with cat /opt/ai-lab/gateway/request.json. Then run aiops traces latency distinguish-client-and-server-errors before collecting the final evidence.
Distinguish client and server errors is an operator skill because AI behavior must be connected to versioned configuration, runtime state, and inspectable evidence.
- Skipping the baseline fixture before reasoning about distinguish client and server errors.
- Treating one simulated output as proof of root cause instead of one bounded piece of evidence.
Reference
Commands in this lesson.
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.