Community-driven behavioral reliability benchmark for LLMs. 231 probes across 19 modules, deterministic scoring, perplexity correlation, layer sensitivity mapping, quant method capture, hardware-stratified community rankings. Every test contributes to the community dataset.

Formal behavioral specification and runtime enforcement for autonomous AI agents. Agent Behavioral Contracts (ABC).

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

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

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

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

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

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

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

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

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.

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.

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