chore(agentx): merge main and rebase the lmcache-server patch on srt-slurm v2.30.0

main bumped srt-slurm to v2.30.0 and dropped the 504 patch. The 507 patch
is regenerated on v2.30.0 from SemiAnalysisAI/srt-slurm#32 at 181b2e4, and
the #3545 perf-changelog entry is rewritten to state the benchmark change:
one lmcache-server with 1296 GB L1 instead of 8 per-rank 162 GB servers,
image v0.30.0, LMCacheMPConnector at localhost:8750 with mq_timeout 6000,
re-measured results.

Author: camatsemianalysis

inferencex-e2e/benchmarks/multi_node/srt-slurm-recipes/RECIPES.md

@@ -4,7 +4,7 @@
 
 InferenceX owns the recipes in this directory. Every NVIDIA srt-slurm launcher uses `setup_srt_slurm()` in [`runners/slurm_utils.sh`](../../../runners/slurm_utils.sh), makes a job-local Git clone of the pinned submodule, and copies this entire tree into `recipes/`. The shared helper records the actual revision in `srt-slurm-sha.txt`; power lanes copy that revision into `power-producer-sha.txt` for result validation.
 
-The shared version is the Git submodule pointer at [`utils/srt-slurm`](../../../utils/srt-slurm), currently [v2.23.2](https://github.com/NVIDIA/srt-slurm/releases/tag/v2.23.2) (`8dace5f9596907a5075bf056251563b2e9563e7d`). Update that submodule pointer when upgrading, then run the recipe and integration checks. Do not add model-specific checkout branches to launchers.
+The shared version is the Git submodule pointer at [`utils/srt-slurm`](../../../utils/srt-slurm), currently [v2.30.0](https://github.com/NVIDIA/srt-slurm/releases/tag/v2.30.0) (`0b37c791fc95a7cb42e8d2b281d44b642cda75d3`). Update that submodule pointer when upgrading, then run the recipe and integration checks. Do not add model-specific checkout branches to launchers.
 
 InferenceX requires srt-slurm 2.0 or newer and `schema: 2` recipes. Legacy recipe layouts are unsupported; migrate them before adding them to this tree.
 
@@ -69,7 +69,7 @@ Validate recipes with the exact launcher pin, including all override variants. F
 
 The initial migration also resolves compatibility issues that `srtctl migrate` cannot fix itself:
 
-- SGLang Model Gateway recipes use `frontend.type: sglang-router`; in v2.23.2, `sglang` selects a direct worker without a router.
+- SGLang Model Gateway recipes use `frontend.type: sglang-router`; in v2.30.0, `sglang` selects a direct worker without a router.
 - Duplicate YAML keys retain the value selected by the former PyYAML loader.
 - DCGM telemetry uses `collect_interval_ms: 1000` instead of `provider` and `default_frequency`. The collector derives its shutdown budget; an explicit ten-second budget is too short for the current validator. Dedicated discovery-service placement is preserved from the original recipes. The pinned upstream runtime rejects telemetry with dedicated infrastructure nodes; this remains a power compatibility blocker rather than changing the original topology to satisfy validation. H200 custom recipes declare a default concurrency that the launcher replaces before submission.
 - DeepSeek-V4 vLLM benchmarks use the supported `custom_tokenizer` loader. Retired `warmup_req_rate: inf` fields are removed; the current upstream client uses its fixed warmup rate of 250 requests per second.

inferencex-e2e/benchmarks/multi_node/srt-slurm-recipes/RECIPES_zh.md

@@ -4,7 +4,7 @@
 
 InferenceX 负责维护本目录中的配置。所有 NVIDIA srt-slurm 启动器均调用 [`runners/slurm_utils.sh`](../../../runners/slurm_utils.sh) 中的 `setup_srt_slurm()`，为作业创建固定版本子模块的本地 Git 克隆，并将整个目录复制到 `recipes/`。共享函数将实际提交记录到 `srt-slurm-sha.txt`；功耗测试路径还会将其复制到 `power-producer-sha.txt`，供结果校验使用。
 
-统一版本由 [`utils/srt-slurm`](../../../utils/srt-slurm) 的 Git 子模块指针指定，目前为 [v2.23.2](https://github.com/NVIDIA/srt-slurm/releases/tag/v2.23.2)（`8dace5f9596907a5075bf056251563b2e9563e7d`）。升级时更新该子模块指针，然后运行配置和集成检查。不要在启动器中新增按模型选择检出版本的分支。
+统一版本由 [`utils/srt-slurm`](../../../utils/srt-slurm) 的 Git 子模块指针指定，目前为 [v2.30.0](https://github.com/NVIDIA/srt-slurm/releases/tag/v2.30.0)（`0b37c791fc95a7cb42e8d2b281d44b642cda75d3`）。升级时更新该子模块指针，然后运行配置和集成检查。不要在启动器中新增按模型选择检出版本的分支。
 
 InferenceX 要求 srt-slurm 2.0 或更新版本，且配置必须声明 `schema: 2`。不支持旧版配置结构；加入本目录前必须先完成迁移。
 
@@ -69,7 +69,7 @@ python -m infx.matrix.generate full-sweep \
 
 本次迁移还修复了 `srtctl migrate` 无法自动处理的兼容性问题：
 
-- SGLang Model Gateway 配置使用 `frontend.type: sglang-router`；在 v2.23.2 中，`sglang` 表示不经过路由器的独立工作进程。
+- SGLang Model Gateway 配置使用 `frontend.type: sglang-router`；在 v2.30.0 中，`sglang` 表示不经过路由器的独立工作进程。
 - 对重复的 YAML 键，保留原 PyYAML 加载器实际采用的值。
 - DCGM 遥测使用 `collect_interval_ms: 1000`，替代 `provider` 和 `default_frequency`。采集器自动推导退出等待时间；原先显式设置的十秒不满足当前校验要求。保留原配置中服务发现进程的专用节点部署方式。固定的上游版本不支持在专用基础设施节点上启用遥测；该功耗兼容性问题仍待解决，不通过改变原有拓扑来绕过校验。H200 自定义配置声明默认并发数，提交前由启动器替换。
 - DeepSeek-V4 vLLM 基准测试使用受支持的 `custom_tokenizer` 加载器。删除已废弃的 `warmup_req_rate: inf` 字段；当前上游客户端的预热速率固定为每秒 250 个请求。