feat: add percentiles configuration for request lifecycle metrics reporting #295
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When benchmarking high-throughput inference servers with complex architectures involving multiple network hops (e.g., llm-d), we observed that ITL often converge to near-zero values at lower percentiles.
To analyze these scenarios effectively, we need the ability to define granular percentile breakpoints rather than relying on a fixed set of standard percentiles.
The functionality was verified by building the image and running benchmarks with custom percentile configurations.