Unverified85% confidenceFactTime unknown
LangChain的with_structured_output方法在底层将Pydantic模型转换为JSON Schema，注入到模型的system prompt或function calling参数中
1
Sources
85%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Python+LangChain构建AI科研助手：接入MCP消除学术幻觉
youtubeNeuralNine
Related Entities
Related Claims
VerifiedFunction Calling uses task-specific fine-tuning to enable models to output structured content conforming to a predefined JSON Schema under specific conditions.78% similarUnverified提示词工程通过角色定义、输出格式约束（如JSON Schema）、少样本示例等手段约束模型概率性输出70% similarUnverifiedHermes模型从微调阶段就大量使用结构化输出训练数据，使模型天然倾向于生成格式正确的JSON64% similarVerifiedThe underlying implementation of Function Calling does not involve the model actually executing a function; instead, the model outputs a structured description of the calling intent, and the host program actually dispatches the execution and returns the result to the model.64% similar
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