Unverified50% confidenceFactExact time
When large language model APIs return responses, they typically include a finish_reason field with common values including stop, length, and tool_calls.
1
Sources
50%
Confidence
Long-term
Relevance
10/7/2026
First Seen
Sources
Related Entities
Related Claims
Unverified模型调用工具时会将输出从普通文本切换为结构化的函数调用格式(finish_reason: tool_calls)65% similarUnverified大语言模型能够识别Spring注解如@GetMapping、@PostMapping、解析方法签名和返回类型61% similarUnverifiedLarge language models perform better on code explanation tasks than on code generation tasks.61% similarVerifiedThe output of large language models is fundamentally probabilistic text generation, and a single rephrasing of a prompt can change field names, nesting levels, or enumeration values in the output without triggering compile-time or static analysis warnings.60% similarUnverifiedIncrementally building in stages (divide-and-conquer prompting) works better than sending an ultra-long prompt containing all requirements to a large language model, as it improves generation quality, enables timely validation, and creates version snapshots.60% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/983831API
curl https://kongchang.com/api/v1/knowledge/claims/983831MCP
get_claim(id=983831)