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Fix Malformed JSON Without Guessing for Developers Handling LLM Output
Developer-first, LLM-aware workflow to repair malformed JSON safely: validate first, run conservative repair only as a fallback, then schema-validate and...
Developers: Cap LLM Retries at Two, Validate LLM Output With Pydantic
An engineering focused playbook for developers to turn LLM responses into reliable data with Pydantic schemas, conservative JSON repair, error-driven...
770M MiniCheck Lets Developers Fact Check LLM Outputs 400x Cheaper
Developer recipes to fact check LLM outputs: atomize claims, retrieve evidence, verify with MiniCheck (770M, 400x less compute), repair JSON.
Developers: Check finish_reason Before Validating JSON Against OpenAPI
Developer first validation for JSON against OpenAPI: check finish_reason first, rerun truncated responses, and only repair after a clean finish.
6 Root Causes to Fix Unexpected JSON Tokens Fast for Developers
A troubleshooting guide for developers to diagnose and fix unexpected JSON tokens. Map six root causes to copy and paste fixes and find errors fast.
Copy Paste Canonical JSON for Developers, CI Tests and Examples
Developer first canonical JSON guide with copy paste examples, CI ready tests, and test vectors to ensure deterministic hashing and signature verification.
Prevent Release Breaks: Diff JSON Schemas and Repair AI Payloads for Developers
Pair structural, schema-aware diffs with payload validation and repair to catch real breaking changes. Includes a Node.js example, CI rules, and Datatool...
Ship Reliable LLM Output Validation: 5 Developer First Controls
Developer first LLM output validation: five categories, runnable Pydantic parse, validate, act example, retry rules, and datatool.dev fixes.
Stop Silent Corruption: JSONB Best Practices, Cap Retries at Two
Validate and repair AI generated JSON before writing to JSONB: check stop_reason, run heuristic repair, use streaming parsing, and add CI gates.