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-0.13.0.tar.gz (52.4 kB view details)

Uploaded Source

Built Distribution

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

modaic-0.13.0-py3-none-any.whl (56.0 kB view details)

Uploaded Python 3

File details

Details for the file modaic-0.13.0.tar.gz.

File metadata

  • Download URL: modaic-0.13.0.tar.gz
  • Upload date:
  • Size: 52.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for modaic-0.13.0.tar.gz
Algorithm Hash digest
SHA256 cd39829fe1c3fa2fdd21057af66cb9b9baacef7e22858475c16c5ab4ae920e17
MD5 e8901f0fb8f67eb3f04a900671411c97
BLAKE2b-256 fb9665206c6bba51476b9bfce733255758fa12d2e40a0008dd9b4373abd86e7a

See more details on using hashes here.

Provenance

The following attestation bundles were made for modaic-0.13.0.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-0.13.0-py3-none-any.whl.

File metadata

  • Download URL: modaic-0.13.0-py3-none-any.whl
  • Upload date:
  • Size: 56.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for modaic-0.13.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a2bc7b4d86f9dc18c0a8b59e2044c9fd63b84cf9226f25cd53ac10617f888a5f
MD5 f5d0b36b32eb10fe26307ac76e8c18d7
BLAKE2b-256 c35ad363f2cdac6d47c1747556c46ca23f5bae80284bd982be8895e97fb53d33

See more details on using hashes here.

Provenance

The following attestation bundles were made for modaic-0.13.0-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