AI & Machine Learning

Background Agents: Four-Layer Fault Tolerance for Long-Running Code Sessions

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The open-source Background Agents project offers a four-layer fault-tolerance system for long-running AI agent sessions, designed to handle failures like sandboxes crashing or API rate limits. This system includes limited retries, fallback model hand-offs, evaluator shadow mode for concurrent validation, and feedback reruns for problematic tasks. It also isolates parallel sub-tasks in separate sandboxes to ensure parent tasks can continue even if children fail, with robust commit merging and token brokering for secure operations.

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