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* server: bench: Init a bench scenario with K6 See #5827 * server: bench: EOL EOF * server: bench: PR feedback and improved k6 script configuration * server: bench: remove llamacpp_completions_tokens_seconds as it include prompt processing time and it's misleading server: bench: add max_tokens from SERVER_BENCH_MAX_TOKENS server: bench: increase truncated rate to 80% before failing * server: bench: fix doc * server: bench: change gauge custom metrics to trend * server: bench: change gauge custom metrics to trend server: bench: add trend custom metrics for total tokens per second average * server: bench: doc add an option to debug http request * server: bench: filter dataset too short and too long sequences * server: bench: allow to filter out conversation in the dataset based on env variable * server: bench: fix assistant message sent instead of user message * server: bench: fix assistant message sent instead of user message * server : add defrag thold parameter * server: bench: select prompts based on the current iteration id not randomly to make the bench more reproducible --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>