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The Assertion node checks whether a value meets a condition. Pick an operator from the dropdown and the relevant inputs appear: Contains, Equals, GreaterThan, GreaterThanOrEqual, IsEmpty, IsFalse, IsTrue, LessThan, LessThanOrEqual, NotContains, NotEmpty, NotEquals, NotRegex, OneOf, Range, Regex.

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Comparing values

Equals and NotEquals compare text exactly, so 1.0 and 1 count as different values, and so do abc and ABC. To compare numbers, use Range, which reads 1.0 and 1 as the same number. Set min and max to the same number for an exact match, or apart to allow a tolerance. The If node’s Eq operator also compares numbers as numbers. GreaterThan, GreaterThanOrEqual, LessThan, LessThanOrEqual and Range fail when the limit is a number and the value isn’t, such as N/A. When the limit is text, they compare text, which suits dates like 2026-01-31.

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Fail-fast

By default, assertions record a pass or fail result and the workflow keeps going. Enable the fail-fast checkbox and a failed assertion will abort the entire workflow run immediately. Assertions don’t have an output handle – they’re observers, not gates. They watch data flow past and check whether it meets a condition. With fail-fast off, they quietly record the result. With fail-fast on, they pull the emergency brake on the whole run. If you need to route data based on a condition rather than abort, use an If node.

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In evaluations

Each assertion carries a weight (0 to 1). The evaluation’s aggregate score is a weighted average of all assertion outcomes – giving you a single number that captures how well your prompts and workflows performed across the dataset. Keep fail-fast off so every row gets evaluated.

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In regular workflows

With fail-fast enabled, assertions become tripwires: if something has gone wrong, stop everything rather than letting the rest of the workflow act on bad data. Useful for sanity checks like verifying that a generated summary stays under a length threshold, or that a classification result is one of the expected categories.