Giskard Scan Tutorials

A scan writes test cases for your agent, runs them, and reports which ones it failed. You do not need prior experience with LLM evaluation or red teaming to follow these walkthroughs. Work through them with a Python file open. Each one ends with something you can run again.

Your First Scan Run a vulnerability scan against BotaniBot, a garden-center assistant, read the report, and save the generated suite.

Scan a RAG Agent Build a knowledge base from your documents and run a quality scan that finds hallucination, out-of-scope answers, and sycophancy.

Write a Custom Scenario Generator Subclass ScenarioGenerator to probe your agent for domain-specific risks, then register it into a scan.

You need an LLM provider configured before the scan can generate anything. See Install & Configure.