executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
configure_optimizationsReturn explicit optimization mode config for cache, memoization, ModelManager, and attention reuse.
Independent GitHub snapshot · Automated classification · Original documentation governs
Build an optimization profile for:
Returns:
workflow flags (cache_enabled, memoization_enabled, policy/size)model_manager flags (max_models_in_vram, enable_cpu_offload, lazy_loading)attention_reuse flags (threshold, cache_device, store_frequency, reuse_layers)python_snippet you can paste in scripts.