I’m not going to go into the depths of caching in pull-based reactivity, but as the famous aphorism reminds us, one of the hardest things in computer science is cache invalidation. And typically, the more efficient a cache is at reducing work, the harder cache invalidation becomes. So an easy approach might be generation counters, where every time we change any input, all cached values are invalidated immediately, and a harder approach might be an LRU cache of all a node’s dependencies where we need to consider how many entries to cache, and how to determine equality3.
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Context bloat - long-running tasks accumulate enormous context windows, slowing the LLM and increasing the chance of the agent losing track of earlier constraints.