Five key optimization measures:
- Environment Configuration: Using the LTS version of Node.js 18+, enable the
--max-old-space-size=4096Parameters to allocate enough memory - Startup Optimization: Add on global installation
--omit=devSkip development dependency installation - network tuning: in
.envset up inCLUEO_API_URLis the endpoint of the nearest region - hardware acceleration: Configuring a CPU that supports the AVX instruction set improves the efficiency of personality calculations 30%
- caching strategy: Personality configurations used by HFs are recommended to be written to the client cache
The average response latency can be reduced from 800ms to less than 200ms after implementation.
This answer comes from the articleClueoMCP: A Tool for Adding Personality Traits to Large Language Models (LLMs)The
May not be reproduced without permission:AI productivity tools " Optimizing the responsiveness of locally deployed ClueoMCP servers
