Factual package intelligence from PyPI

optimas-ai 0.0.4 package intelligence

Optimas is a unified framework for end-to-end optimization of compound AI systems. While traditional optimization methods focus on single configuration types—such as prompts or hyperparameters—modern compound AI systems require coordinated optimization across multiple heterogeneo

pip install optimas-ai

Current version
0.0.4
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.6 MiB
Release history
5 releases with files
Median release cadence
2 days

optimas-ai dependencies

PyPI declares 26 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. accelerate >=0.20.0
  2. datasets >=2.0.0
  3. dspy-ai >=2.4.0
  4. huggingface-hub >=0.15.0
  5. litellm >=1.0.0
  6. matplotlib >=3.5.0
  7. networkx >=2.6.0
  8. numpy >=1.20.0
  9. omegaconf >=2.1.0
  10. pandas >=1.3.0
  11. peft >=0.4.0
  12. python-dotenv >=0.19.0
  13. requests >=2.25.0
  14. rich >=12.0.0
  15. torch >=2.0.0
  16. tqdm >=4.60.0
  17. transformers ==4.46.1
  18. trl >=0.10.1
  19. tyro
  20. wandb >=0.15.0

The compact report shows 25 of 26 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

optimas-ai publishes 1 wheel and 1 source archive for version 0.0.4. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.