Unverified90% confidenceFactTime unknown
Datasette Agent 利用 LLM 的工具调用(Function Calling)能力形成 ReAct(Reasoning + Acting)循环来执行数据查询
1
Sources
90%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedFunction Calling机制使大模型能够驱动数据库查询、API调用、代码执行等真实操作,是Agent架构的基础能力69% similarUnverifiedThe Agent Runtime encapsulates the complete Reason-Action main loop, including assembling messages, calling the LLM, determining tool usage, executing tools, and returning responses.68% similarUnverified现代LLM Agent的核心逻辑可归结为一个循环:接收目标、调用LLM、解析输出、执行工具、重复迭代68% similarUnverified科研自动化 Agent 通常基于 LLM 的工具调用与任务规划能力,结合代码执行沙箱、文件系统访问、学术检索及 GitHub/Hugging Face API 等外部工具,形成感知-规划-执行-反馈的闭环67% similarUnverifiedDatabricks预计将有大量客户通过AgentBricks和AgentSupervisor API来构建自定义智能体工作流66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/16706API
curl https://kongchang.com/api/v1/knowledge/claims/16706MCP
get_claim(id=16706)