Unverified50% confidenceConceptExact time
Human-in-the-loop（HITL）在Agent开发场景下从训练阶段的数据标注机制延伸为运行时的实时干预能力
1
Sources
50%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
LangChain 1.3实战：大模型到Agent开发完整学习路径
Related Claims
UnverifiedThe framework has an autonomous learning mechanism that can extract successful patterns from completed tasks and solidify them into reusable knowledge, enabling the agent team to continuously evolve over time.73% similarUnverifiedHITL（Human-in-the-Loop，人机协同）概念源于自动化控制领域，用于在 Agent 遇到高风险、高不确定性操作时进行人工审核确认73% similarUnverified在Agent场景下理想的授权模型应叠加人工确认节点（Human-in-the-loop），在执行写入、删除等高风险操作前需显式获取用户实时确认72% similarUnverified团队构建的端到端测试框架采用录制模式（Agent 调用真实下游系统捕获测试夹具）和回放模式（Agent 面向夹具运行）71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/504105API
curl https://kongchang.com/api/v1/knowledge/claims/504105MCP
get_claim(id=504105)