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ax-java-agent-observability

Trace Java agent behavior, usage, and action logs for Ax-generated agents.

2.9k|186|Updated Feb 23, 2023
Search Tags:#debugging#agents#observability#tracing#java#replay
One-click install
npx skills add https://github.com/ax-llm/ax --skill ax-java-agent-observability
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ax-java-agent-observability
Source: https://github.com/ax-llm/ax/tree/main/website/static/java/.well-known/agent-skills/ax-java-agent-observability
Command: npx skills add https://github.com/ax-llm/ax --skill ax-java-agent-observability

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers inspect and debug Java agents built with Ax by making traces, usage, action logs, runtime envelopes, and replay behavior easier to understand.

Core Features & Use Cases

  • Agent Tracing: Observe model calls, tool activity, and runtime progress in generated Java agents.
  • Usage and Action Logs: Review token usage, execution history, and action replay data for debugging and auditing.
  • Runtime Diagnostics: Diagnose loops, checkpoints, delegation, and execution issues in production or local testing.
  • Use Case: A Java engineer can use this Skill to understand why an agent loop is failing, confirm what tools were called, and trace the exact runtime state that led to the output.

Quick Start

Ask the assistant to write a Java Ax observability example that attaches tracing and usage callbacks to an AxAgent and explains how to inspect runtime envelopes and action logs.

Frequently Asked Questions about ax-java-agent-observability

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I trace Java agent behavior and inspect runtime envelopes in production?▼

You can trace Java agent behavior by attaching observability and usage callbacks to an AxAgent. This allows you to inspect runtime envelopes, monitor model calls, and review execution history during production or local testing.

Why does my Java agent loop fail and how can I diagnose the action logs?▼

To diagnose a failing Java agent loop, use runtime diagnostics to review token usage and action replay data. Inspecting these action logs helps identify the exact runtime state and tool activity that caused the execution issue.

What is Java agent observability and when do I need to replay executions?▼

Java agent observability is the process of tracking model calls, tool activity, and runtime progress within generated agents. You need to replay executions when auditing past behavior or diagnosing specific execution loops and checkpoints.

Can I debug Ax-generated Java agents locally without an API provider key?▼

Yes, you can debug Ax-generated Java agents locally using no-key examples. The observability callbacks support reproducible diagnostics by utilizing runtime profile awareness without requiring a provider-backed API key.

What's the best way to set up observability callbacks for a generated Java agent package?▼

The best way to set up observability is by requesting a Java Ax example that attaches tracing and usage callbacks to your AxAgent. This requires the generated Java package API to properly inspect runtime envelopes and action logs.

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