Unverified50% confidenceFactExact time
In LLM application scenarios, Pydantic is often used as the validation layer for structured output; the JSON returned by the model is first validated against the model and then handed to downstream tools for execution.
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50%
Confidence
Long-term
Relevance
10/28/2026
First Seen
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Related Claims
VerifiedThe basic principle of tool calling is that the model identifies scenarios requiring external capabilities, outputs a structured function call request (usually in JSON format), and after the external system executes it, the result is returned to the model to continue reasoning.77% similarUnverifiedLLM tool calling (Tool Calling/Function Calling) is a capability of large models: the model generates structured tool-call requests according to a preset JSON Schema, external code executes them and passes the results back to the model, and the model continues reasoning based on the results.76% similarUnverifiedCurrent mainstream LLM agents do not execute code or SQL directly; instead, the model outputs structured text (usually JSON) declaring the functions and parameters to be called, which the host program then parses and executes.75% similarUnverified模型迁移时需重点验证工具调用是否稳定触发、JSON输出是否符合预定schema、边界与异常输入处理是否退化73% similar
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