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Entwicklung · SKILL.md

observability

observability

Use this sub-skill for EverOS logging, Prometheus metrics, OpenTelemetry and Langfuse tracing, recall scores, and observability troubleshooting.

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Skill-Dokumentation

GitHub

name: observability description: "Use this sub-skill for EverOS logging, Prometheus metrics, OpenTelemetry and Langfuse tracing, recall scores, and observability troubleshooting." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

EverOS Observability

Use this sub-skill when a task asks about structured logs, request IDs, Prometheus metrics, OpenTelemetry/OTLP export, Langfuse traces/scores, privacy controls, or tracing demo workflows.

Read/run map

  • Read observability for logging, /metrics, OTel configuration, trace lifecycle, and privacy settings.
  • Read Langfuse for Langfuse-specific endpoint/key mapping, recall scores, demo/replay choices, and credential boundaries.
  • Read troubleshooting for missing extras, rejected keys, no spans, score issues, content capture surprises, and noisy logs.
  • Run trace_demo_driver.py against a running server. It defaults to health/config guidance; use --run-flow only when you intentionally want a tiny memory write/search to generate traces.

Key facts

  • Structlog and stdlib logging are configured into one console-rendered format.
  • Every request gets a request ID before handlers run.
  • /metrics exposes the Prometheus registry.
  • OpenTelemetry is optional and no-op-safe when disabled or the otel extra is absent.
  • Langfuse integration uses native OTLP/HTTP plus optional Langfuse scores; EverOS does not require a Langfuse SDK.
  • capture_content=false by default; set it true only after considering privacy.
Gespeicherte Skills