Build AI agent execution engines that turn prompts into behavior. Use when (1) designing the tool-use loop for an agent system, (2) implementing prompt caching strategies for cost optimization, (3) building the prompt assembly pipeline (system prompt + tool prompts + memory + dynamic context), (4) debugging why an agent's behavior doesn't match its prompt, (5) optimizing agent latency and token usage. Triggers on phrases like agent execution engine, tool-use loop, prompt caching, prompt assembly, streaming API, context management, agent architecture.
2026-04-02