hallucination-detector

Detect fabricated URLs and fake citations by applying regex-based detection patterns to agent-generated text, flagging hallucinated content before delivery. This safety layer scans tool results and generated text to preserve accuracy.

The best way to flag unsourced statistics is to invoke an on-demand hallucination detection layer within reasoning pipelines. It evaluates agent outputs against detection patterns to identify unfounded claims and unsubstantiated data.

Yes, you can use hallucination detection as an on-demand safety layer within content pipelines. It integrates with the reasoning skill-chain scratchpad, reporting structured results under hallucination_detector keys.

Check agent outputs for unfounded future claims by running a hallucination detector that applies regex patterns to generated text and tool results. It flags unsubstantiated predictions to maintain trust and reduce misinformation.

Yes, hallucination detection works across both agent-generated text and tool results. It functions as a safety layer within reasoning and content pipelines to identify fabricated URLs, fake citations, and unsourced statistics.

Regex-based hallucination detection is limited to pattern matching for fabricated URLs, unsourced statistics, and fake citations. It should not be relied upon when deep semantic verification or external fact-checking against live databases is required.