WEBVTT

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Validators play a crucial role in ensuring the quality and integrity of parameters within the AI generated

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outputs.

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They serve as quality controllers for the schemas specified in our rail specs, verifying whether an

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output aligns with our predefined criteria.

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If an output fails to meet this criteria, validators initiate corrective actions as defined in the

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rails pack.

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Imagine validators as meticulous inspectors scrutinizing every output that flows through the system.

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When applied to a property in a schema, they evaluate the value against predefined criteria.

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A successful evaluation results in a pass result signaling compliance.

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However, if the evaluation fails, a failed result prompts the execution of corrective actions outlined

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in the rails pack.

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This example defines validator for a total cost field, ensuring it represents the total cost of services

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and is never below zero.

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If the cost is less than the minimum, the exception shall be raised.