prompt-cache

TokenPilot reduces LLM agent costs via ingestion-aware compaction and lifecycle-aware eviction, achieving 61–87% cost reduction on PinchBench and Claw-Eval with competitive scores.

TokenPilot is a dual-granularity context management framework that reduces inference costs in long-horizon LLM sessions by stabilizing prompt prefixes and conservatively managing context segments, achieving 61-87% cost reduction on benchmarks while maintaining competitive performance.

Claude Opus 4.8 allows adding system instructions mid-conversation without breaking the prompt cache, reducing cost and latency for API requests.

This thread recommends a local AI coding stack for the 128GB MacBook Pro, using Qwen 3.6 model with MLX server and specific configurations for reliable coding assistance.