fix: recover PR 2279 ingest via sweep reuse

perf-changelog.yaml

@@ -4958,3 +4958,11 @@
     - "Run 29651235293 showed the 1M-context corpus working set outgrowing the HBM KV pool past conc 8 (TP8) / conc 64 (DP8): gpu_kv_cache_usage pinned at 1.0 and the radix hit rate collapsed from a ~0.97 theoretical ceiling to 0.04-0.06, so every post-knee turn re-prefilled its full history and throughput fell together with interactivity"
     - "HiCache spills evicted prefixes to host DRAM and restores them at C2C bandwidth instead of recomputing; sizing follows the qwen3.5-fp8-b300-sglang-agentic-hicache recipe (GLM-5.2 is plain GQA: one host pool per rank, GB-based --hicache-size)"
   pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2279
+
+- config-keys:
+    - glm5.2-fp4-b300-sglang-agentic
+  description:
+    - "Enable DRAM KV offloading (SGLang HiCache) on all points of both arms: DSv4-style host/device token-capacity ratio, tuned to 0.75 for GLM-5.2 (DSA/MLA-family: the 169.98 GB device pool is replicated on all 8 ranks, so ratio 0.75 = ~1.0 TB pinned host pools; ratio 2 and GB-based sizing both OOM-killed 3 TB nodes), io-backend direct, mem-layout page_first_direct, write policy write_back; validated on-node with an overflow bench forcing eviction through the DSA KV+INDEXER host pools"
+    - "Run 29651235293 showed the 1M-context corpus working set outgrowing the HBM KV pool past conc 8 (TP8) / conc 64 (DP8): gpu_kv_cache_usage pinned at 1.0 and the radix hit rate collapsed from a ~0.97 theoretical ceiling to 0.04-0.06, so every post-knee turn re-prefilled its full history and throughput fell together with interactivity"
+    - "HiCache spills evicted prefixes to host DRAM and restores them at C2C bandwidth instead of recomputing; sizing follows the qwen3.5-fp8-b300-sglang-agentic-hicache recipe (GLM-5.2 is plain GQA: one host pool per rank, GB-based --hicache-size)"
+  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2280