Expired50% confidenceFactExact time
For models that do not support native Function Calling, LangChain provides a fallback solution based on prompt engineering.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/3/2026
First Seen
Valid until: 10/1/2026(expired)
Sources
LangChain入门:Model与Agent核心概念详解
bilibiliAgentic_RAG7/2/2026
Related Claims
VerifiedThe 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.71% similarVerifiedChain-of-Thought(思维链)提示技术通过强制模型先输出中间步骤来部分缓解自回归模型在逻辑推理中的缺陷70% similarUnverifiedBy implementing model routing strategies through LangChain's unified interface, inference costs can be reduced by 50%–80% without rewriting business logic.69% similarUnverifiedFunction Calling requires native model support and relies on structured output capabilities built into the model through specialized fine-tuning during training.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/62080API
curl https://kongchang.com/api/v1/knowledge/claims/62080MCP
get_claim(id=62080)