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学习指南
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学习指南
第 2 页 · 6 / 18-
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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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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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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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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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.