localize-design 1.0.0

CLI to localize Java design issues using PMD, Tree-sitter, and LangGraph agents

localize-design

CLI to localize Java design issues using PMD, Tree-sitter, and autonomous LangGraph agents.

Install

From PyPI:

pip install localize-design
# or
uv pip install localize-design

You also need PMD on your PATH for full analysis (optional but recommended):

brew install pmd

Set your OpenAI API key:

OPENAI_API_KEY=...
MODEL=gpt-4o-mini

Usage

# Run LangGraph agents — produces a ranked refactoring report
localize-design --file path/to/File.java

# Shorthand alias
ldesign --file path/to/File.java

# Save output as JSON
localize-design --file path/to/File.java --format json -o report.json

# Text report to stdout
localize-design --file path/to/File.java --format text

Development

git clone https://github.com/fraolBatole/LocalizeAgent.git
cd LocalizeAgent
uv sync

Add .env in the repo root with your OPENAI_API_KEY.

Run from source:

uv run localize-design --file tests/fixtures/test_input2.java

How it works

Three autonomous agents run in sequence, each calling tools as needed:

1. Evidence collector — calls run_pmd, run_treesitter, run_structural_metrics, correlate_evidence
2. Issue localizer — inspects correlated findings, identifies design issues and refactoring targets
3. Ranker — ranks targets by impact, produces a final markdown report

Project layout

src/
  cli.py              entry point
  models.py           Pydantic types
  config/             PMD ruleset
  utils/              static analysis (pmd, treesitter, structural, correlator)
  agent/              LangGraph workflow, nodes, LLM tools
tests/
  fixtures/           sample Java files

Tests

uv run pytest

Publish to PyPI

Maintainers only:

uv build
uv publish