A superfast proxy and smart load-balancer for AI Inference — virtualize models, share local and provider back-ends, optimal caching, lock-in sampling parameters, debug message flow and obtain OTel metrics
What is the wentbackward/hikyaku GitHub project? Description: "A superfast proxy and smart load-balancer for AI Inference — virtualize models, share local and provider back-ends, optimal caching, lock-in sampling parameters, debug message flow and obtain OTel metrics". Written in Go. Explain what it does, its main use cases, key features, and who would benefit from using it.
Question is copied to clipboard — paste it after the AI opens.
Clone via HTTPS
Clone via SSH
Download ZIP
Download main.zipReport bugs or request features on the hikyaku issue tracker:
Open GitHub Issues