AIBeat: an open-source toolkit for red-teaming prompts, agents and AI routers
_jaydeepkarale · x · 2026-10-24
Developer jaydeepkarale introduces AIBeat, a security testing toolkit for LLM apps and agents covering three layers of the AI stack:
- PromptBeat: automated red-teaming of prompts and models — prompt injection, jailbreak resistance, guardrail regressions; generates and inspects test cases locally without uploading sensitive data, exports HTML reports with failures and scoring;
- AgentBeat (v0.5.0): black-box HTTP agent evaluation measuring task completion without touching internal code, recording state observations and tool traces, with automated scoring combining completion rates and safety checks;
- RouterBeat: public multi-dimensional benchmarks (S/A/B/C tiers) for AI routing/relay platforms — model fingerprints, response integrity, billing transparency, prompt leakage risks and supply-chain anomalies.
The author's point: as LLMs and agents enter real workflows, testing must go beyond right answers to adversarial inputs, agent behavior, and infrastructure risk.
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