awesome-llm-observability
SkillGitHubAktivPython
50+ curated LLM observability tools PLUS 26 Agent Skills (several with runnable, unit-tested scripts) to build, evaluate, debug, secure & monitor reliable LLM apps. Tracing, evals, guardrails, LLMOps.
Herkunft der Beschreibung: Originalquelle
Gemessen: 21.10.2026 · 69 Beobachtungen
Bereiche & Einsatzzwecke
- Bereiche
- Agenten, Skills und MCP
- Einsatzzwecke
- Agenten-Skills, Beobachtbarkeit
Installation
git clone https://github.com/ContextJet-ai/awesome-llm-observability ~/.claude/skills/awesome-llm-observabilityAn der Quelle prüfen
Kompatibilität und Voraussetzungen in der offiziellen Dokumentation prüfen.
https://github.com/ContextJet-ai/awesome-llm-observabilityKlassifikationen
- Art
- Ressource
Messverlauf
Vergleichbare Messwerte sind nach Signal und Einheit gruppiert.
Sterne
42Sterne · 21.10.2026
+13 (+44,8 %)seit 10.08.2026
Genaue Werte · 69 Messungen
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