Gahow Wang dbb9eee471 feat(analysis): paired comparison with bootstrap CI
Implements docs/EVALUATION_PROTOCOL_ZH.md §2.2 (M2 fix):
mechanism A vs B comparisons on the same trace must be
paired on same-trial-mask, with errors and aborts surfaced
rather than silently dropped.

How it differs from scripts/analysis/compare_no_error.py:
  - works on raw request-metrics.jsonl (not pre-aggregated
    summary.json) so it can recompute paired masks
  - reports 95% bootstrap CIs for mean / p50 / p90
  - exposes intersection size + per-side failure count in
    the intersection so the reader can see how many rows
    were dropped from the comparison and whether the
    candidate's win came from selection effects

stdlib only — random.Random for bootstrap, no scipy/numpy.
Default 2000 bootstrap iterations; seed is configurable
for reproducibility.

Verified locally on a synthetic 20-row pair (5s constant
delta + one candidate failure): correctly reports
paired_size=19, candidate_fail_in_common=1, mean delta
-5.000s, 19/0/0 win/loss/tie.

CLI:
  scripts/analysis/paired_compare.py \\
      --baseline outputs/run-dp/request-metrics.jsonl \\
      --candidate outputs/run-kvc/request-metrics.jsonl \\
      [--metric latency_s|ttft_s|tpot_s] \\
      [--bootstrap 5000] [--seed 42] [--json]
2026-05-12 23:57:57 +08:00
2026-04-24 12:17:40 +00:00

Agentic PD Hybrid

这个项目是在 SGLang xPyD 上做一个最小实验框架,用来判断:

面向 agentic coding workload 的 session-aware / KV-cache-aware P/D routing能不能降低端到端延迟。

更完整但仍然简洁的说明见 docs/PROJECT_OVERVIEW.md

当前做了什么

  • 启动单机 SGLang P/D 栈。
  • 回放 Ali coding agent trace并记录 request-level metrics。
  • 支持 defaultstickykv-aware 路由策略。
  • 支持 pd-disaggregationkvcache-centricpd-colo 对比。
  • 支持小 append、多轮 session 的 micro-benchmark trace。
  • 维护了基于 SGLang v0.5.10 的本地 patch放在 third_party/sglang

环境

统一使用 uv

uv sync

默认模型路径:

~/models/Qwen/Qwen3-Coder-30B-A3B-Instruct

当前主要测试环境是单机 8 GPU约束是 prefill + decode <= 8

常用命令

生成小 append trace

uv run agentic-pd-hybrid make-small-append-trace \
  --output outputs/smoke-hotcap-30k-1k-256.jsonl \
  --session-count 4 \
  --turns-per-session 3 \
  --initial-input-length 30000 \
  --append-input-length 1000 \
  --output-length 256

跑 live benchmark

uv run agentic-pd-hybrid benchmark-live \
  --trace outputs/micro-serveable-varturn-30k-1k-256-20260424T0756Z.jsonl \
  --output-root outputs/live-serveable-varturn-30k-1k-256-hotcap \
  --mechanism kvcache-centric \
  --policy kv-aware \
  --kvcache-admission-mode worker \
  --prefill-workers 1 \
  --decode-workers 1 \
  --prefill-gpu-ids 0 \
  --decode-gpu-ids 1 \
  --transfer-backend mooncake \
  --target-duration-s 2000 \
  --session-sample-rate 1.0 \
  --min-turns 2 \
  --time-scale 1 \
  --concurrency-limit 1000

只回放并写 metrics

uv run agentic-pd-hybrid replay \
  --trace path/to/trace.jsonl \
  --policy kv-aware \
  --mechanism pd-disaggregation \
  --router-url http://127.0.0.1:8000 \
  --output outputs/replay.jsonl

输出

每次 replay/benchmark 会写:

  • request metricsrequest-metrics.jsonl
  • 汇总结果:request-metrics.jsonl.summary.json

重点看:

  • E2E latency
  • TTFT / TPOT
  • execution mode
  • cached tokens
  • KV transfer blocks
  • error

维护约定

  • 项目代码改动:feat: / fix: / docs:
  • SGLang 改动:feat(sglang): ... / fix(sglang): ...
  • third_party/sglang 的基线是 clean SGLang v0.5.10 snapshot。
  • 不提交 outputs/、日志、__pycache__、虚拟环境。
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