Gahow Wang
591cd6d382
Codifies the methodology fixes for every weakness called
out in AUDIT_AND_ROADMAP_ZH §3.1. Existing sweep reports
(KVCACHE_CENTRIC_PROGRESS_ZH, V2_RESULTS_ZH) violate at
least one of these; future runs must use this protocol.
Contents:
- §1.1 M1 — N≥3 + bootstrap CI; no N=1 in headline
- §1.2 M2 — paired-on-same-trial-mask; same trace /
timeout / max_input_len / time_scale; errors
and aborts each get their own column
- §1.3 M3 — required stratification dimensions
(turn_id / append_len / overlap_ratio /
inter_turn_gap / input_len)
- §1.4 M4 — minimum 2 baselines from a 6-item list,
including at least one non-SGLang baseline
- §1.5 M5 — trace mix: Ali full + SWE-Bench +
ShareGPT + synthetic adversarial
- §1.6 M6 — hardware tiers; single-node 4xH200 +
dual-node NVLink/IB as minimum
- §2 report templates (main table, paired delta,
stratified, negative-result section)
- §3 tool support: marks the two scripts that the
follow-up commits on this branch add
- §4 SOSP/OSDI artifact requirements
- §5 pre-submission self-checklist
- §6 phased delivery plan for catching up to protocol
No code change; reading dependency for the analyzer
scripts that follow.
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
default、sticky、kv-aware路由策略。 - 支持
pd-disaggregation、kvcache-centric、pd-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 metrics：
request-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 SGLangv0.5.10snapshot。- 不提交
outputs/、日志、__pycache__、虚拟环境。