Rotalabs Documentation

AI Trust Infrastructure - Open source tools for building trustworthy AI systems.

Package Documentation

Steering & Control

Package	Description	Docs	PyPI
rotalabs-steer	Activation steering for LLM behavior control	Docs	PyPI

Safety & Testing

Package	Description	Docs	PyPI
rotalabs-probe	Sandbagging detection via activation probes	Docs	PyPI
rotalabs-redqueen	Evolutionary adversarial testing framework	Docs	PyPI

Verification & Evaluation

Package	Description	Docs	PyPI
rotalabs-verity	Neuro-symbolic verified code synthesis with Z3	Docs	PyPI
rotalabs-eval	Comprehensive LLM evaluation with statistical rigor	Docs	PyPI

Infrastructure

Package	Description	Docs	PyPI
rotalabs-cascade	Configuration-driven multi-stage decision routing	Docs	PyPI
rotalabs-fieldmem	Field-theoretic memory with PDE-based diffusion	Docs	PyPI
rotalabs-graph	GNN-based trust propagation for AI systems	Docs	PyPI
rotalabs-accel	High-performance inference with Triton kernels	Docs	PyPI

Compliance & Audit

Package	Description	Docs	PyPI
rotalabs-comply	AI compliance and audit logging infrastructure	Docs	PyPI
rotalabs-audit	Reasoning chain capture and decision transparency	Docs	PyPI

Quick Install

# Install any package
pip install rotalabs-steer
pip install rotalabs-verity
# ... etc

# Or install with optional dependencies
pip install rotalabs-steer[langchain,viz]

License

Rotalabs libraries are licensed under Apache-2.0. Red Queen (rotalabs-redqueen) is licensed under AGPL-3.0, with commercial licenses available via research@rotalabs.ai.

For commercial licensing inquiries, contact research@rotalabs.ai.