Validate LLM tool-call schema with concrete repair hints

Created by

Dennis

Actor

LLM Output Validator: JSON Schema + Repair Hints

Check LLM tool-call JSON against schema — machine-readable error paths + repair hints for agent self-correction loops.

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LLM Output Validator: JSON Schema + Repair Hintscodeclouds/llm-output-validator

Valid

Error count

Truncated

+2 fields

Input

Documents to validate(required):{"action": "search", "query": "netcongestie", "region": "Noord"}

Generate repair hints:true

Apply safe normalization:false

Output fields

Valid

Error count

Truncated

Repairable

Errors

How it works

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The LLM Output Validator: JSON Schema + Repair Hints Actor is ready to run with the inputs already set for "Validate LLM tool-call schema with concrete repair hints". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Validate LLM tool-call schema with concrete repair hints" task

The LLM Output Validator: JSON Schema + Repair Hints Actor will start running based on the input automatically. You can also change all the input fields, like documents to validate, generate repair hints, and more, to match your specific use case.

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Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as #, valid, error count, and more.