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Prompt Caching Turns Agent Context Into Infrastructure

Earendil frames prompt caching as an agent systems primitive, where stable context becomes a cost, latency, and architecture concern.

Signal contract

Earendil frames prompt caching as an agent systems primitive, where stable context becomes a cost, latency, and architecture concern. Long-lived agents carry stable instructions, tools, schemas, and project context. Caching that layer changes latency economics and encourages cleaner separation between persistent context and per-task deltas. Novelty: structural. Verification: source-linked. This New Runtime record is an evidence-linked retrieval unit.

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Observation

Earendil frames prompt caching as an agent systems primitive, where stable context becomes a cost, latency, and architecture concern.

Why it matters

Long-lived agents carry stable instructions, tools, schemas, and project context. Caching that layer changes latency economics and encourages cleaner separation between persistent context and per-task deltas.

Entities

Earendil, prompt caching, agents

Provenance

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  1. 01patternHarness architecture outlives model choicePattern connected to this observed signal.
  2. 02patternAgent economics moves to completed workPattern connected to this observed signal.
  3. 03patternAgent-ready software exposes capabilitiesPattern connected to this observed signal.
  4. 04topicAI Infrastructure - New RuntimeExplore the ai infrastructure topic hub.
  5. 05topicCoding agents - New RuntimeExplore the coding agents topic hub.

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