待验证50% 置信事实时间未知
Terminal Agents introduce an LLM reasoning layer that enables them to adjust subsequent strategies based on real-time command output, a capability known in engineering as 'Reactive Planning'
1
来源数
50%
置信度
中期 (~90 天)
时效性
2026/7/2
首次发现
有效期至：2026/9/30
来源
相关事实
待验证Orchestration-Based Agents combine LLM reasoning capabilities with deterministic workflow logic, allowing developers to define when an Agent should make decisions versus follow a fixed process.76% 相似待验证现代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75% 相似待验证Terminal Agents can understand user intent, decompose it into multiple steps, execute them sequentially, and adjust the next step's strategy based on the previous step's output73% 相似待验证Agent流式输出将模型生成过程实时呈现给用户，包括思考步骤、工具调用过程、中间推理状态73% 相似待验证Agent类工具的技术本质是基于LLM的自主决策循环，即ReAct框架（推理→行动→观察→再推理）72% 相似
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