When JSON Is Not Enough: Semantic Reliability of Schema-Constrained LLM Ordering Agents
Moving beyond syntax: Why schema-constrained LLMs still struggle with semantic accuracy and safe execution.
LLM agents are increasingly used as transaction compilers: a user states an intent in natural language, and the model emits a structured object that an API can execute. JSON Schema and provider-level structured-output modes are useful because they remove a large class of parse fa...
ArXiv CS.AI
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While structured output modes eliminate basic syntax errors, they fail to guarantee that LLM-generated transactions align with business logic and safety constraints. This research highlights the urgent need for domain-specific validation layers to prevent catastrophic failures in real-world agentic workflows.
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