Factual package intelligence from PyPI

revolt-rai 2.1.0 package intelligence

RAI is the open-source AI security operator built for professionals — autonomous, adaptive, and engineered to execute across the full cybersecurity spectrum: from threat modeling and SAST to pentesting, red team, bug bounty, VAPT, and SOC operations.

pip install revolt-rai

Current version
2.1.0
Python requirement
<4.0,>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
2.3 MiB
Release history
6 releases with files
Median release cadence
18 days

revolt-rai dependencies

PyPI declares 35 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. claude-agent-sdk >=0.2.89
  2. ddgs >=2.0.0
  3. ddgs >=9.0.0
  4. deepagents-cli ==0.0.41
  5. deepagents ==0.5.3
  6. fastapi <1.0.0,>=0.115.0
  7. httpx <1.0.0,>=0.28.1
  8. langchain-anthropic <2.0.0,>=1.4.0
  9. langchain-google-genai <5.0.0,>=4.2.1
  10. langchain-litellm <2.0.0,>=0.6.1
  11. langchain-mcp-adapters <1.0.0,>=0.2.0
  12. langchain-ollama <2.0.0,>=1.0.0
  13. langchain-openai <2.0.0,>=1.1.12
  14. langchain <2.0.0,>=1.2.15
  15. langgraph-checkpoint-sqlite <4.0.0,>=3.0.0
  16. langgraph <2.0.0,>=1.1.6
  17. markdownify >=0.13.0
  18. packaging >=23.0
  19. platformdirs >=4.0.0
  20. prompt-toolkit <4.0.0,>=3.0.52
  21. python-dotenv <2.0.0,>=1.0.0
  22. pyyaml >=6.0.0
  23. rich <15.0.0,>=14.0.0
  24. textual <9.0.0,>=8.0.0
  25. tomli-w <2.0.0,>=1.0.0

The compact report shows 25 of 35 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

revolt-rai publishes 1 wheel and 1 source archive for version 2.1.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 6 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 .