controlbridge-ai 0.2.1

LLM-powered risk statement generator and evidence validator for ControlBridge

controlbridge-ai

LLM-powered features for ControlBridge: risk statement generation and (in Phase 3) evidence validation.

Uses LiteLLM for provider-agnostic LLM calls and Instructor for structured output extraction into Pydantic models.

Provides

• Risk Statement Generator — Convert control gaps into NIST SP 800-30-compliant risk statements
• Evidence Validator (Phase 3) — Assess evidence sufficiency using LLM analysis
• LLM Client — Provider-agnostic wrapper around LiteLLM with retry, rate limiting, and structured output

Supported providers

Any provider supported by LiteLLM:

• Anthropic Claude (default: claude-sonnet-4-6)
• OpenAI GPT
• Google Gemini
• AWS Bedrock
• Azure OpenAI
• Local models via Ollama, vLLM, etc.

Install

pip install controlbridge-ai

License: Apache 2.0