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Giskard-AI/giskard-oss

⭐ 5861 Python repository created 2022-03-06

Giskard is an open-source Python library specifically designed for testing and evaluating AI agents and LLM applications. It provides a modular, lightweight, and async-first architecture. The library offers 'Giskard Checks' for creating and applying evaluations to test LLM-based systems, including scenario APIs, built-in checks, and LLM-as-judge capabilities. It helps catch regressions, validate RAG quality, enforce safety rules, and evaluate multi-turn agents by testing non-deterministic outputs. 'Giskard Scan' is the red-teaming layer that automatically generates adversarial test suites to detect vulnerabilities such as prompt injection, harmful content, and biases, based on OWASP LLM Top-10 threat categories. While Giskard v3 focuses on agentic systems, its v2 counterpart (still available) also includes features for automatic vulnerability detection ('Scan') and RAG evaluation test set generation ('RAGET') for both ML models and LLM applications. Giskard aims to provide comprehensive tools for ensuring the safety, performance, and reliability of AI systems in production.

https://github.com/Giskard-AI/giskard-oss

agent-evaluationai-red-teamai-securityai-testingfairness-aillmllm-evalllm-evaluationllm-securityllmopsml-testingml-validationmlopsrag-evaluationred-team-toolsresponsible-aitrustworthy-ai

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