Chunk 32.5
The assistant systematically diagnosed and resolved a critical set of bugs causing duplicate and parallel agent runs. The root causes were identified as: an accumulation of stale scheduled wakes being reprocessed every cycle, intermediate and final assistant messages from the same run both polluting the LLM prompt context, and bursty state-change events triggering the path unit multiple times in rapid succession. To fix these issues, the assistant implemented a robust set of engineering changes. Processed wakes are now explicitly marked as `processed`, immediately reducing the pending wake count from 20 stale entries down to 13 legitimate future ones. The `triggerAgent()` function was hardened with a debounce mechanism (2s for P0, 10s for P1) to suppress bursty activations. Run IDs were made monotonic via session state to prevent identity confusion after a session reset. Context management was overhauled: no-op runs are now excluded from the prompt (while remaining visible in the UI), and intermediate assistant messages are filtered out, keeping only the final response per run in the context window. Finally, the `schedule_next_check` tool was discouraged for routine 5-minute intervals since the heartbeat timer already covers that window. The themes of this chunk highlight the immense complexity of building reliable autonomous agents, where subtle race conditions in event handling, context pollution from verbose histories, and state management inconsistencies can silently degrade performance. By moving from a fragile system prone to duplicate work and context overflow to a debounced, filtered, and stateful architecture, the assistant significantly hardened the agent's operational loop. The proposed addition of a "Wakes" section in the UI represents a continued commitment to transparency and operator control over the agent's internal scheduling.
Hardening the Autonomous Agent: Eliminating Duplicate Runs, Context Pollution, and Event Thrashing