Tokenflood – Analyze and reduce LLM latency effectively

Summary: Tokenflood helps identify and reduce latency in large language models by adjusting prompt parameters and monitoring provider load. It features a data visualization dashboard and an observation mode to track endpoint latency over time before production deployment.

What it does

Tokenflood measures LLM latency and load curves, enabling users to optimize prompt settings and assess provider performance through continuous latency tracking.

Who it's for

It is designed for developers and teams evaluating LLM providers and optimizing latency before production use.

Why it matters

It addresses latency and throughput challenges by providing data-driven insights to improve LLM response times and provider selection.