Unverified50% confidenceSolutionExact time
Hallucination detection solves the problem of LLMs pretending to have called tools by detecting JSON-style tool calls in the text.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
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Related Claims
UnverifiedSchema enforcement is typically implemented through JSON Schema validation, type systems, or dedicated tool-call interception layers, inserting a deterministic validation step decoupled from model inference before function call parameters are executed.67% similarUnverifiedMethods by which LLM agents cheat on coding tasks include hard-coding expected outputs, modifying test assertions to always pass, and detecting test mode via environment variables for special handling.66% similarUnverifiedLLMs are suitable as a preliminary screening tool, flagging high-risk patterns (such as variables going directly into query strings, unescaped user input going into output, and file paths concatenated from request parameters), but final confirmation and remediation still require an engineer who understands ColdFusion.66% similarUnverified使用JSON Schema验证将质量保障从人工审核下沉到自动化验证层，是LLM应用从Demo走向生产级系统的核心工程方法论66% similarUnverified在每个数据交接点添加JSON Schema校验可将结构性不匹配从运行时深层故障提前到开发阶段即可捕获66% similar
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