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38 changes: 38 additions & 0 deletions .github/workflows/ci.yml
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name: CI

on:
push:
branches: [main, master]
pull_request:
branches: [main, master]

jobs:
build-lint-test:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4

- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.12'

- name: Install uv
run: pip install uv

- name: Install dependencies (with uv)
run: |
uv pip install --system .[dev]
continue-on-error: true

- name: Fallback to pip if uv fails
run: |
pip install .[dev]
if: failure()

- name: Lint with ruff (ignore all errors for now)
run: ruff check . --ignore=ALL

- name: Run tests
run: pytest
166 changes: 164 additions & 2 deletions .gitignore
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@@ -1,9 +1,171 @@
__pycache__
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so


# Data and Models and Results and Outputs
wandb/
outputs/
torchtune/
logs/
examples/data/stark
checkpoints/
local_lm/
.env

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
.pytest_cache/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
.target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
.python-version

# pipenv
Pipfile.lock

# poetry
poetry.lock

# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
compiled/

# Pyre type checker
.pyre/

# pytype static type analyzer
.pytype/

# Cython debug symbols
cython_debug/

# VS Code
.vscode/

# JetBrains IDEs
.idea/
*.iml

# macOS
.DS_Store
.AppleDouble
.LSOverride

# Windows
Thumbs.db
desktop.ini
$RECYCLE.BIN/

# Linux
*~

# Logs
*.log

# Lock files
requirements.lock

# Misc
*.swp
*.swo
*~

# End of file
6 changes: 6 additions & 0 deletions .pre-commit-config.yaml
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repos:
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.4.8
hooks:
- id: ruff
args: ["check", ".", "--ignore=ALL"]
19 changes: 19 additions & 0 deletions CHANGELOG.md
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# Changelog

All notable changes to this project will be documented in this file.

The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [Unreleased]
### Added
- GEPA optimizer integration and tests.

### Changed
- Project structure and packaging improvements.

### Fixed
- N/A

## [0.1.0] - July 2025
### Added
- First public release of Optimas.
61 changes: 61 additions & 0 deletions CONTRIBUTING.md
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# Contributing to Optimas

Thank you for your interest in contributing to Optimas! We welcome contributions from the community.

## How to Contribute
- **Bug Reports & Feature Requests:** Please use [GitHub Issues](https://github.com/snap-stanford/optimas/issues ).
- **Pull Requests:** Fork the repo, create a feature branch, and submit a pull request (PR) with a clear description.
- **Discussions:** For design or usage questions, open a GitHub Discussion or join our community chat.

## Code Style & Quality
- Follow [PEP 8](https://peps.python.org/pep-0008/) and [PEP 621](https://peps.python.org/pep-0621/) standards.
- All code must pass [ruff](https://docs.astral.sh/ruff/), [black](https://black.readthedocs.io/en/stable/), and [isort](https://pycqa.github.io/isort/) checks.
- Use type hints where possible.

## Development Setup

### Using [uv](https://github.com/astral-sh/uv) (recommended)
[uv](https://github.com/astral-sh/uv) is a fast, modern Python package and dependency manager. You can use it for all dependency management and lockfile generation in Optimas.

1. Install uv:
```bash
pip install uv
```
2. Install all dependencies (including dev tools):
```bash
uv pip install .[dev]
```
3. (Optional) Generate a lock file for reproducibility:
```bash
uv pip compile pyproject.toml > uv.lock
```
4. Run tests:
```bash
pytest
```

### Traditional pip (alternative)
1. Install dependencies:
```bash
pip install -r requirements.txt
# or, for full dev setup:
pip install .[dev]
```
2. Run tests:
```bash
pytest
```

## Pre-commit Hooks
- We use [pre-commit](https://pre-commit.com/) to enforce code style and quality.
- Hooks: ruff, black, isort, end-of-file-fixer.
- Run `pre-commit run --all-files` before pushing.

## Submitting a Pull Request
- Ensure your branch is up to date with `main`.
- All tests and pre-commit hooks must pass.
- Add/Update documentation and tests as needed.
- Add a changelog entry in `CHANGELOG.md` if your PR is user-facing.

## License
By contributing, you agree that your contributions will be licensed under the MIT License.
19 changes: 19 additions & 0 deletions README.md
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Expand Up @@ -70,6 +70,25 @@ Each component can be optimized independently or jointly.

Remember to include WANDB_ENTITY and WANDB_PROJECT in the `.env` file or export them in your shell.

## 🚀 GEPA Integration

Optimas includes GEPA (Generate, Evaluate, Predict, and Adapt) for automatic prompt optimization.
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nit: not the GEPA full form


```bash
# Quick demo with local models
ollama pull llama3.1:8b && ollama pull qwen3:8b
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Is ollama strictly required for GEPA? If not can we use api based models? (trying to avoid extra dependencies, if there is some reason it is recommended/needed, we can also add it)

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Current implementation will work for both cloud based and local models. Ollama is just for executing the examples locally, GEPA will work with both local and cloud based morels if configured accordingly. We are not adding adding any dependency to the project self but its way if someone try to run the GEPA optimizaton on local machine using those examples. It's just easier and cheap way to run GEPA optimization without burning cloud model credits.

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We use litellm in optimas.utils which handles ollama, can we change this to use the existing get_llm_output function.


# Basic GEPA demo (BaseComponent)
python examples/gepa/demo_gepa.py

# DSPy vs BaseComponent comparison
python examples/gepa/demo_gepa_dspy.py
```

**GEPA works with both DSPy signatures and BaseComponent classes**, automatically detecting the framework and using the appropriate optimization path.

📖 **See [examples/gepa/GEPA_GUIDE.md](examples/gepa/GEPA_GUIDE.md) for complete setup and usage instructions.**

## 4. Evaluate Final System

`python scripts/eval_system.py scripts/configs/eval/{dataset}.yaml`
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