AxAgent Optimize For Java

This skill helps an agent write Java code with the generated Ax package dev.axllm:ax. Use the generated package API, examples, and manifests; do not import TypeScript-only APIs unless you are editing the TypeScript package.

When To Use

• Optimize an AxAgent or reusable program component.
• Mine grounded weaknesses from failed agent tasks and keep only playbook proposals that pass the verification gate.
• Create evaluator callbacks and persist optimizer artifacts.
• Keep optimization runs bounded by explicit budgets and dataset rows.

Package Facts

• Language: Java.
• Package: dev.axllm:ax.
• Package API docs: API.md and axir-api.json.
• Capability manifest: axir-capabilities.json.
• Runnable examples: examples/.
• Real network support: yes.
• Scripted no-key transport support: yes.
• Runtime profiles: javascript-quickjs, python-pyodide.

Core Pattern

java
AxGEPA engine = new AxGEPA(reflectionClient, java.util.Map.of());
var result = engine.optimize(request, evaluator);

Relevant API Surface

• Agents And RLM: Ax.agent, AxAgent
• Optimizers: Ax.optimize, Ax.playbook, AxPlaybook, AxBootstrapFewShot, AxGEPA, OptimizerEngine, OptimizerEvaluator

Guardrails

• Start from package examples for exact native syntax before inventing a new call shape.
• Use provider-api examples only when the user explicitly has provider credentials available.
• Use no-key examples for deterministic local checks and provider request mapping.
• Treat AxIR as the source of generated package truth: if package docs disagree with source code, update the compiler and regenerate packages.
• Do not copy repo-maintainer skills from tools/*/skills/ into user packages.