Applied AI
Karzoun Sentinel AI
What it is
Offline-first LLM evaluation & regression testing for AI apps and agents. Prompt injection, groundedness, secret redaction, JSONL suites and CI quality gates.
Open-source evaluation and regression testing for LLM applications and AI agents. SentinelAI is a Python-first toolkit for evaluating AI outputs before they reach production. It turns prompts, responses, grounding context, and future agent traces into repeatable test cases that can run locally or inside CI.
Engineering characteristics
- Automated tests
- Containerised
- Continuous integration
- Dependency manifest
- Documentation set
- Open licence
- Release pipeline
- Security policy
Testing
The repository contains an automated test suite that runs as part of its checked-in workflow.
Security
The repository publishes a security policy describing how to report vulnerabilities.
Deployment
The repository defines its own build and deployment automation.
Documentation
The repository ships a dedicated documentation set beyond the README.
Topics
Sections appear only where the repository provides verifiable evidence.
