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Spring AI Observability

Adds token, cost, latency, and audit-log instrumentation to Spring AI / LLM calls in Spring Boot.

Dev & CodingIntermediate★ 210⑂ 35AI score 9/10Last updated: Aug 10, 2026

What it does

  • Configures Spring AI 1.0 GA's built-in Micrometer instrumentation (gen_ai.client.token.usage, gen_ai.client.operation) plus Actuator/Prometheus exposure.
  • Supplies MeterRegistry code for custom metrics: prompt latency timers and input/output token counters.
  • Provides a CallAdvisor audit advisor for prompt/response logging, a per-model cost estimator, and an async ai_audit_log persistence pattern.
  • Flags the GA API renames (CallAroundAdvisor→CallAdvisor, AdvisedRequest→ChatClientRequest, getGenerationTokens()→getCompletionTokens()) that commonly break generated code.

Who it's for

  • Backend engineers shipping LLM features on Spring Boot 3 + Spring AI.
  • Teams that need token usage and monthly LLM spend on a dashboard.
  • Organizations already running Prometheus/Grafana monitoring.

Examples

  1. "Export ChatClient P95 latency and token usage to Prometheus" → generates Actuator/histogram config and custom Timer/Counter beans.
  2. "Audit-log prompt length and token counts per request" → implements AiAuditAdvisor with async DB persistence.
  3. "Build a per-model cost estimator" → produces AiCostEstimator from a per-1M-token pricing map, with advice to externalize prices to config.

· · · Install guide · · ·

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https://raw.githubusercontent.com/rrezartprebreza/spring-boot-skills/HEAD/skills/spring-boot-3/ai-observability/SKILL.md

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  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
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Install the skill I found on Claude Skill Mart.
Copy the skills/spring-boot-3/ai-observability folder from the GitHub repo rrezartprebreza/spring-boot-skills into my ~/.claude/skills/ai-observability/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/rrezartprebreza/spring-boot-skills.git && mkdir -p ~/.claude/skills && cp -r spring-boot-skills/skills/spring-boot-3/ai-observability ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal and cd into any working directory.
  2. Clone the repo: git clone https://github.com/rrezartprebreza/spring-boot-skills.git
  3. Create the skills directory if needed: mkdir -p ~/.claude/skills
  4. Copy just this skill: cp -r spring-boot-skills/skills/spring-boot-3/ai-observability ~/.claude/skills/
  5. Run claude inside your project and ask something like "add token cost monitoring to my Spring AI service" to trigger the skill.
  6. Make sure your build includes spring-boot-starter-actuator and micrometer-registry-prometheus, and keep log-prompt: false in production.
View source on GitHub ↗License: MIT