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ai-observability

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End-to-end observability for Spring AI integrations.

Software Engineering#monitoring#prometheus#spring-boot#micrometer#token-usage#ai-observability
Authorrrezartprebreza
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables comprehensive observability for AI integrations in Spring Boot projects. It provides instrumentation for AI calls, token usage, latency, and cost estimation, and supports auditing prompts/responses to improve reliability and governance.

Core Features & Use Cases

  • Built-in observability: Micrometer/Prometheus integration for generation latency, token usage, and AI client metrics.
  • Custom AI metrics and auditing: track latency, tokens, and per-model usage with structured logs.
  • Cost estimation: estimate AI usage costs based on per-model pricing.
  • Audit logging: persistent audit logs for AI interactions with metadata.
  • Configuration and gotchas: guide for enabling endpoints, tracing, and safety considerations.

Quick Start

Add the Micrometer dependencies, enable metrics exposure in your Spring Boot config, and wire AiMetrics into your AI calls to start collecting observability data.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ai-observability
Download link: https://github.com/rrezartprebreza/spring-boot-skills/archive/main.zip#ai-observability

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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