Skip to main content

Modaic, a python framework for packaging and reproducing DSPy programs

Project description

Docs PyPI

Modaic 🐙

Modular + Mosaic, a Python framework for composing and maintaining DSPy applications.

Key Features

  • Hub Support: Load and share precompiled DSPY programs from Modaic Hub
  • Program Framework: Precompiled and auto-loading DSPY programs
  • Automated LM Judge Alignment: Continuously align your LM judges to your preferences while staying at the pareto frontier!

Never lose your progress again. Save everything you need to compare and reproduce optimization runs with GEPA, MIPROv2, etc. - architecture, hyperparameters, precompiled prompts, predictions, git commits, and even datasets - in 5 minutes. Modaic is free for personal use and academic projects, and it's easy to get started.

Installation

Using uv (recommended)

uv add modaic

Optional (for hub operations):

export MODAIC_TOKEN="<your-token>"

Using pip

Please note that you will not be able to push DSPY programs to the Modaic Hub with pip.

pip install modaic

Quick Start

Creating a Simple Program

from modaic import PrecompiledProgram, PrecompiledConfig

class WeatherConfig(PrecompiledConfig):
    weather: str = "sunny"

class WeatherProgram(PrecompiledProgram):
    config: WeatherConfig

    def __init__(self, config: WeatherConfig, **kwargs):
        super().__init__(config, **kwargs)

    def forward(self, query: str) -> str:
        return f"The weather in {query} is {self.config.weather}."

weather_program = WeatherProgram(WeatherConfig())
print(weather_program(query="Tokyo"))
weather_program.push_to_hub("me/my-weather-program")

Save and load locally:

weather_program.save_precompiled("./my-weather")

from modaic import AutoProgram, AutoConfig

cfg = AutoConfig.from_precompiled("./my-weather", local=True)
loaded = AutoProgram.from_precompiled("./my-weather", local=True)
print(loaded(query="Kyoto"))

from hub:

from modaic import AutoProgram, AutoConfig

loaded = AutoProgram.from_precompiled("me/my-weather-program", rev="v2.0.0")
print(loaded(query="Kyoto"))

Architecture

Program Types

  1. PrecompiledProgram: Statically defined programs with explicit configuration
  2. AutoProgram: Dynamically loaded programs from Modaic Hub or local repositories

Support

For issues and questions:

  • GitHub Issues: https://github.com/modaic-ai/modaic/issues
  • Docs: https://docs.modaic.dev

Development

install development dependencies:

uv sync --all-extras

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

modaic-0.13.1.tar.gz (52.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

modaic-0.13.1-py3-none-any.whl (56.5 kB view details)

Uploaded Python 3

File details

Details for the file modaic-0.13.1.tar.gz.

File metadata

  • Download URL: modaic-0.13.1.tar.gz
  • Upload date:
  • Size: 52.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for modaic-0.13.1.tar.gz
Algorithm Hash digest
SHA256 2269acf6230663223e80bc3ac6607b332db08693d1bf2616a684b2ec75f6ac47
MD5 08c997245e2ed7de3dbde913fcd7e704
BLAKE2b-256 a2cf80383614717fc4209719b384b9e02cc3a5a6ae20ed537a14ef11ce662ede

See more details on using hashes here.

Provenance

The following attestation bundles were made for modaic-0.13.1.tar.gz:

Publisher: python-publish.yml on modaic-ai/modaic

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file modaic-0.13.1-py3-none-any.whl.

File metadata

  • Download URL: modaic-0.13.1-py3-none-any.whl
  • Upload date:
  • Size: 56.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for modaic-0.13.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d10d8272792ba72ea23d050ce07791b494cc9f5cb8bdb08df4a34d96b2168188
MD5 95d93840ac935be55ab563fc228d5e84
BLAKE2b-256 044bd2465c9c0f8943ac2826dd41ec3a2bb6c2d02e2cf29b3bedf0782b2f1009

See more details on using hashes here.

Provenance

The following attestation bundles were made for modaic-0.13.1-py3-none-any.whl:

Publisher: python-publish.yml on modaic-ai/modaic

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page