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Validate a single LLM tool-call JSON response

Check one LLM/tool-call JSON response against your JSON Schema and get a concrete repair hint for every violation — ready to feed back into a retry prompt.

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LLM Output Validator: JSON Schema + Repair Hints
LLM Output Validator: JSON Schema + Repair Hintscodeclouds/llm-output-validator
#
Valid
Error count
Truncated
+2 fields
Text
Number
Boolean
List
Object

Input

Documents to validate(required):{"name": "Alice", "age": "30", "email": "alice@example.com"}
JSON Schema(required):{4 fields}
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 a single LLM tool-call JSON response". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Validate a single LLM tool-call JSON response" 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, JSON Schema, and more, to match your specific use case.

Receive the "Validate a single LLM tool-call JSON response" output

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.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Validate a single LLM tool-call JSON response" task via API.

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