Community-driven behavioral reliability benchmark for LLMs. 88 probes across 24 categories, deterministic TrustScore, hardware-stratified community rankings, performance prediction. Every test contributes to the community dataset.

Behavioral regression testing for LLMs — diff, drift, fingerprint. Zero deps.

Model behavioral diffing - compare LLM outputs across versions, detect regressions.

Behavioral testing for LLM applications. pytest plugin with semantic assertions, multi-turn conversation testing, and drift detection. No LLM judge needed.

Agent behavioral testing -- YAML specs for tool calls, sequences, constraints

Bots I broke and how I broke them to be a future conversational Red Teamer

Spec-driven development for GenAI applications. A working reference implementation showing behavioral spec, conformance scoring, drift detection, and model comparison — all running together.

AI deployment gate that mines real traffic, fires probes at staging, and tells you if your code will break — before your users do. Built on gitagent + Lyzr Studio.

Advanced Mockito usage featuring Spies, Mocks, and behavioral verification to test a shopping cart checkout flow.

Regression testing CLI for AI agents — define expected behaviors in YAML, run in CI, fail deploys on behavioral drift

LLM drift detector — know within 5 min when GPT-4o, Claude, or Gemini silently changes behaviour. Open source, self-hostable.

AI persona-based behavioral testing for web apps. No test scripts. YAML-configured. Vision-powered.

Catch AI behavioral regressions before merge. Run eval suites for prompts, agents, and workflows in GitHub Actions.