Idea for getting rid of that "a message from the screen watcher and a message from the LLM could arrive out of order if the timing is just right" race condition:

• maintain a state object that keeps track of
  • an array of pending updates with timestamps
  • the latest status reported to the server with a timestamp
• instead of submitting status updates to a queue, push them to the array of pending updates
• in a separate loop that ticks every second, process pending updates in batch. when processing a "screen stable" update, act on it only if it's at least 1 second old and there hasn't been a "screen changing" update after it. leave it in the pending array if it's not old enough and there hasn't been a "screen changing" update after it.
• keep the existing deduplication logic that takes into account conversation length and latest status

up to you if you want to implement it. I'm fine with merging the current version once you address the feedback

That's awesome. I set it up in a local deployment and it works! Both for reporting status if the ai agent doesn't, and for completing statuses the ai agent didn't.

Minor nits on naming: I believe it's more accurate to refer to claude code and others as "AI Agents" rather than LLMs. Also, whenever referring to the url of a coder/agentapi process, I think we should say "AI agentapi url" rather than "llm agent url" for accuracy.

Also TODO: we need to update the claude code and goose terraform modules to use this.