Factual package intelligence from PyPI

retail-ai 0.2.3 package intelligence

Retail AI Agent: A modular, multi-agent orchestration framework for complex AI workflows. Supports agent handoff, tool integration, and dynamic configuration via YAML.

pip install retail-ai

Current version
0.2.3
Python requirement
>=3.12
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
336.6 KiB
Release history
3 releases with files
Median release cadence
0 days

retail-ai dependencies

PyPI declares 25 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. grandalf >=0.8
  2. databricks-agents >=0.20.0
  3. databricks-langchain >=0.4.2
  4. databricks-sdk >=0.50.0
  5. databricks-vectorsearch >=0.56
  6. duckduckgo-search >=8.0.2
  7. langchain-mcp-adapters >=0.1.4
  8. langchain >=0.3.24
  9. langgraph-checkpoint-postgres >=2.0.21
  10. langgraph-reflection >=0.0.1
  11. langgraph-supervisor >=0.0.27
  12. langgraph-swarm >=0.0.11

The compact report shows 12 of 25 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

retail-ai publishes 1 wheel and 1 source archive for version 0.2.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

1 historical release is fully yanked in PyPI metadata.

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