Prism-Eval Offers Open-Source Red-Teaming for AI Agents
TL;DR. Prism-Eval is an open-source framework designed for unit testing and red-teaming AI agents, effectively addressing non-deterministic failures encountered in production environments to ensure reliable agent performance. - It identifies critical issues such as prompt injections and data inaccuracies in LLM tool calls and OCR data processing. - The framework integrates seamlessly into CI/CD pipelines, proactively preventing agent failures before deployment. - Developers can utilize Prism-Eval to create adversarial corpora, enhancing the robustness of agent evaluation.
- Prism-Eval is an open-source framework for testing AI agents against non-deterministic failures.
- It targets common production issues including prompt injections, digit drops, and OCR drift.
- The system integrates into CI/CD pipelines to serve as a pre-deployment fail gate for agents.
- Developers can use it to build adversarial test suites, improving agent reliability.
Sources
- Agentic AI tests for orchestrators on CLI — github.com