LLM 프롬프트 캐싱 완벽 가이드 2026: Claude, OpenAI, Gemini 비용 90% 절감 실전 패턴
Claude·OpenAI·Gemini 프롬프트 캐싱으로 LLM 비용을 70~90% 절감하는 실전 가이드. RAG, 멀티턴 챗봇, 에이전트 도구 캐싱 패턴과 캐시 히트율 측정·디버깅 코드까지 프로덕션 그대로 정리했습니다.
Priya spent four years at Zapier building the Tables product before leaving in 2023 to consult on agent infrastructure for Series A startups. She's shipped custom n8n nodes for two YC-backed companies (a clinical-trial logistics platform and a freight broker), and her PR adding streaming-token support to LangChain's Bedrock chat wrapper was merged in early 2024. Most of her current work is unglamorous: helping ops teams replace 40-step Make.com scenarios with a single LangGraph state machine, then arguing with their CFO about token budgets. She writes here about the parts of agent work that vendor blogs skip - eval harnesses that don't lie, retry logic that survives a rate-limited Anthropic endpoint at 2am, and why 'just add a vector DB' is almost always the wrong answer. Based in Toronto. Eight years total in workflow tooling.
Claude·OpenAI·Gemini 프롬프트 캐싱으로 LLM 비용을 70~90% 절감하는 실전 가이드. RAG, 멀티턴 챗봇, 에이전트 도구 캐싱 패턴과 캐시 히트율 측정·디버깅 코드까지 프로덕션 그대로 정리했습니다.