ai-observability

SKILLWorkflowcommunity
v0.0.0rrezartprebrezaMITUpdated 1mo agoSource →

Use when adding Spring AI-specific model observations, token usage, latency, externally configured cost attribution, advisor telemetry, or protected prompt and completion logging. Use production-observability for general service metrics, health, logs, and OTLP setup.

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1mo agoLast update
Skill
Authorrrezartprebreza
Version0.0.0
LicenseMIT
CategoryWorkflow
Formatsskill.md
PromptNot published
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Claude✓ Supported
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Use when adding Spring AI-specific model observations, token usage, latency, externally configured cost attribution, advisor telemetry, or protected prompt and completion logging. Use production-observability for general service metrics, health, logs, and OTLP setup.

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