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Documentation Index

Fetch the complete documentation index at: https://docs.vijil.ai/llms.txt

Use this file to discover all available pages before exploring further.

Vijil’s evaluation service consists of Harnesses, Scenarios, Probes, and Detectors: Vijil Evaluation components At the lowest level, Detectors scan model responses for undesirable features and register responses with those features as successful attacks on the model. For example, a Detector may be designed to look for fake Python packages. At the next level, each Probe consists of one of more prompts designed to elicit certain undesirable responses. For example, a Probe could contain prompts to look for malware. The next highest level consists of Scenarios, which are collections of Probes that have similar goals. At the topmost level, Harnesses are collections of one or more Scenarios that you run to generate an overall trust score/report from. To run a Vijil evaluation, you have to select one of more Harnesses to include. The current Vijil Trust Score consists of three Harnesses: Security, Safety, and Reliability. Learn more about trust score components:

Harness

Learn more about Harnesses

Scenario

Learn more about Scenarios

Probe

Learn more about Probes

Detector

Learn more about Detectors

Guard

Learn more about Guard

Guardrail

Learn more about Guardrail
Last modified on April 21, 2026