Segment 32

This sub-session began by deploying the budget-integrated pinned pool to constrained memory machines and diagnosing a critical production failure where the cuzk daemon crashed without automatic recovery due to a `wait -n` supervisor bug. The focus then dramatically pivoted to building a fully autonomous fleet management agent powered by an LLM (qwen3.5-122b). The agent was iteratively refined through multiple production incidents, including over-provisioning, accidentally stopping all instances due to a flawed demand signal, and context overflow/reset bugs that broke the agent loop. To solve these, the assistant built a diagnostic grounding system (Diagnostic Sub-Agent), a persistent conversational runtime with SQLite context management, event-driven triggering via systemd.path, and a comprehensive UI with agent activity panels. The session concluded with the agent hardened against race conditions, duplicate runs, and state management failures, establishing a robust foundation for autonomous, cost-effective cluster management.

Fix cuzk daemon supervisor crash bugDeploy budget-integrated pinned pool to constrained machinesBuild autonomous LLM fleet management agentFix agent scaling and demand sensing logicExpand vast-manager UI with agent panelsBuild diagnostic grounding sub-agent systemImplement context management and verdict systemFix context overflow and session reset bugsHarden agent loop with debounce and locksImplement event-driven agent triggering

From Production Crashes to Autonomous Fleet Management: The Evolution of an LLM-Driven GPU Proving Infrastructure 4457 words

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