The author encountered issues with an LLM generating data that did not adhere to specified JSON schema constraints, such as age limits. While the LLM's prompt included instructions for validation, the ShapeCraft library's built-in JSON schema checker only supported a subset of keywords. To enforce stricter validation, the author integrated the AJV library, which provides a more comprehensive JSON schema validator. This allowed ShapeCraft to throw errors for non-compliant data, triggering retries and ensuring data integrity before it reached downstream services. AI
IMPACT Enhances LLM data output reliability by enabling stricter validation of generated JSON against complex schemas.
RANK_REASON The item describes the integration of a new library (AJV) to enhance the functionality of an existing tool (ShapeCraft) for LLM data validation.
- AccountJsonSchema
- Groq
- json-schema
- llama-3.3-70b-versatile
- MaxRetriesExceededError
- PersonJsonSchema
- SchemaViolationError
- ShapeCraft
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