Add agentic workload characterization audit scaffold
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#!/usr/bin/env bash
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set -euo pipefail
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# Rebuild this current-results audit package.
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python3 analysis/characterization/summarize_runs.py --output-dir analysis/characterization/current_results --runs outputs/gpu_ab_combined outputs/gpu_ab_pdsep outputs/contention_16s_ts10 outputs/contention_16s_elastic outputs/combined_1000req outputs/exp3_pd_sep_tp1_mooncake
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# Example Batch 0/1 local trace analysis.
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python3 analysis/characterization/analyze.py \
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--trace traces/w600_r0.0015_st30.jsonl \
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--kv-bytes-per-token 98304 \
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--task-name w600_local_full_trace \
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--overwrite
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# CPU-only full compact trace summary was computed on dash0 from:
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# /home/admin/cpfs/wjh/ali-trace/trace-glm5.1-formatted/051315-051317.jsonl
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# Recompute either by running analyze.py on dash0, or by copying that compact
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# formatted JSONL locally. Do not use the 487G raw file directly.
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