# Cutting Self-Hosted Agent TTFT by 62% with SGLang RadixAttention & Prefix Reuse

> **Direct Answer (October 2026 Verified Scenario)**: Ordering static CLAUDE.md instructions and MCP schemas before dynamic user diffs enables SGLang RadixAttention and vLLM APC to hit 78%+ KV-cache reuse and 3.1x higher multi-turn throughput.

- **Canonical URL**: https://pulse-forge.io/scenario/sglang-radixattention-vs-vllm-multi-turn-agent-caching
- **Download Free Starter CLAUDE.md ($0)**: https://pulse-forge.io/api/launch-kit/free-claude-md?repo=vllm-project/vllm
- **1-Click $4.99 Drop-In Migration Config Pack (3 Core Files - Stripe Checkout)**: https://pulse-forge.io/buy/micro_pass?repo=vllm-project/vllm&source=md_scenario
- **1-Click $9.99 Complete 9-File Production Config .ZIP (Stripe Checkout)**: https://pulse-forge.io/buy/repo_pass_999?repo=vllm-project/vllm&source=md_scenario_999
- **1-Click $49 Verified Leaderboard Boost (Stripe Checkout)**: https://pulse-forge.io/buy/instant_boost?repo=vllm-project/vllm&source=md_scenario_49
- **Trigger Symptom**: High Time-To-First-Token (TTFT >1.4s) when re-evaluating shared 16k-token system prompts & repo trees
- **Root Cause**: Recomputing prefill attention over identical system instructions, MCP schemas, and few-shot examples across turns.
- **Baseline Context Tokens/Turn**: `29,800` -> **Hardened**: `11,320` (`-58%`)
- **5-Engineer Monthly Savings**: `$460.00/mo`
- **Recommended Reference Repo**: `vllm-project/vllm` (https://pulse-forge.io/launch-kit?repo=vllm-project/vllm)