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学习指南
筛选文章 学习指南
学习指南
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Turn production agent failures into regression tests Use Kitaru Replay, Evaluator, and Regression Suite to preserve production failures as repeatable agent tests, with tool policies and CI gates.
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Agent 线上出过的错，怎么自动变成以后每次改动都要重跑的测试？ 结合 Kitaru 的 Replay、Evaluator 和 Regression Suite，说明怎样把线上失败固定成可重放的 Agent 回归测试，并用工具策略与评测结果接入 CI。
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长任务为什么不能只靠一条越来越长的对话 结合 OpenAI Agents API 和 Anthropic Managed Agents，解释 Session、Context Window、Compaction 与持久状态怎样支撑跨上下文窗口的长任务 Agent。
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Why long tasks need more than one growing conversation How OpenAI Agents API and Anthropic Managed Agents use sessions, context windows, compaction, and persistent state for long-running agents.
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What Tau solves by splitting an AI agent into three layers Tau separates model adapters, the agent core, and the application so tools and frontends can work together without depending on each other.
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把 AI Agent 拆成三层，Tau 架构解决了什么 以 Tau 为例，说明模型适配、Agent 核心和应用层的职责，以及工具和前端如何在不互相依赖的情况下协作。
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Connecting an agent loop to a frontend with events Follow tool execution and repeated model calls, separate streamed deltas from final messages, and explore frontend state with a model-free Python demo.
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用事件流连接 Agent Loop 和前端 说明 Agent 如何执行工具并继续调用模型，区分流式增量与最终消息，并用一个不依赖模型服务的 Python 示例观察前端状态。
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Loop Engineering Harness: controlling agent iterations Break down planning, execution, evaluation, state management, and stopping rules to keep multi-step agent tasks controlled and traceable.
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Loop Engineering Harness：怎样控制 Agent 的迭代循环 把 Harness 作为一种工程模式，拆解计划、执行、评估、状态管理和终止判断，说明 Agent 多轮任务怎样保持可控和可追溯。
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Sandbox isolation: boundaries, implementations, and practice How sandboxes limit untrusted code access to files, processes, networks, and resources, comparing VMs, containers, user-space kernels, and syscall filters.
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沙箱隔离技术：边界、实现和最小实践 说明沙箱怎样限制不可信代码访问文件、进程、网络和资源，并比较虚拟机、容器、用户态内核与系统调用过滤的边界。