tzhouam · Sep 10, 2026 · Sep 9, 2026 · Sep 10, 2026 · Sep 10, 2026 · chatgpt-codex-connector
diff --git a/knowledge/repos/vllm-omni/components/configuration/_index.md b/knowledge/repos/vllm-omni/components/configuration/_index.md
@@ -49,5 +49,6 @@ sources: ["claude-workflow-starter-private@296ea45", vllm_omni/config/]
 | 审查或新增 process 环境变量、stage `env` 和安全诊断输出 | [environment-variable contract](environment-variable-contract.md) |
 | 计算多 stage 显存预算 | [deployment memory budget](deployment-memory-budget.md) |
 | 添加新模型和注册点 | [adding a model](adding-a-model.md) |
-| composable strategy 的 axis、并行拓扑与 load balancing owner | [并行拓扑合同](rules-parallel-topology.md) |
+| composable strategy 的 axis、并行拓扑、load balancing owner 与 resolve_omni_config 统一解析 | [并行拓扑合同](rules-parallel-topology.md) |
+
 | 冻结 topology、辅助 stage 注入与模型专用 deploy profile | [topology 与部署 profile](rules-topology-profiles.md) |
diff --git a/knowledge/repos/vllm-omni/components/configuration/rules-parallel-topology.md b/knowledge/repos/vllm-omni/components/configuration/rules-parallel-topology.md
@@ -1,10 +1,10 @@
 ---
 title: "并行拓扑合同"
 created: 2026-09-04
-updated: 2026-09-04
+updated: 2026-09-09
 type: rule
 tags: [vllm-omni, components, config]
-sources: [vllm_omni/config/composable_parallel/, vllm_omni/config/config_factory.py, vllm_omni/config/stage_config.py, "PR #5531"]
+sources: [vllm_omni/config/composable_parallel/, vllm_omni/config/config_factory.py, vllm_omni/config/stage_config.py, "PR #5531", "PR #5140"]
 confidence: high
 ---
 
@@ -64,3 +64,10 @@ confidence: high
 - 禁止：在配置解析期把省略的 DP 固定为 1 后据此生成不足的设备列表；接受与 WORLD 推导值不一致的显式 DP；允许 HSDP 与 TP、普通 DP、PP 或 EP 组合；只用 `num_gpus` 做校验却不传播到 stage 配置。
 - 验收：覆盖 direct、structured 和 async stage 路径；`num_gpus=8`、TP=2、SP=2 必须得到 DP=2、WORLD=8 和 devices `0`–`7`，省略 DP 的配置在运行时解析前仍保持未指定；覆盖 HSDP mesh 不匹配及不支持组合，并确认都在进程组创建前失败。^[PR #5531]
 
+
+## CONF-4f — 生产启动必须经 resolve_omni_config 统一解析
+
+- 触发：修改 `AsyncOmniEngine`、headless stage 启动、`StageConfigFactory` 公开入口，或 registry/deploy/CLI 到最终 stage 的 source selection。
+- 强制：标准与 headless 生产路径只调用 `resolve_omni_config()` 获得 `OmniConfigResolution`（structured config、runtime compatibility stages、strategy-derived LB、effective deploy path）；factory 的 create/legacy 方法是 resolver 与测试的下层 primitive，engine/entrypoint 不得绕过 resolver 直接选源。通用单 stage diffusion 仅在 registry 解析失败后作为 fallback；legacy `stage_configs_path`/`stage_configs` 必须显式报错。
+- 禁止：engine 侧二次合成 default diffusion stage 或重复 merge LoRA/attention/quant/cache/profiler；把 OmegaConf-compatible stages 宣传为稳定公共 ABI；静默恢复已删除的 stage-configs-path 行为。
+- 验收：同一 model+deploy+override 在标准与 headless 路径得到等价 topology 与 LB policy；覆盖 registry 命中、generic diffusion fallback、以及拒绝已删除 legacy 参数。^[PR #5140]
diff --git a/knowledge/repos/vllm-omni/components/diffusion/_index.md b/knowledge/repos/vllm-omni/components/diffusion/_index.md
@@ -37,16 +37,19 @@ sources: ["PR #5543", vllm_omni/platforms/cuda/platform.py, vllm_omni/diffusion/
 | CustomOp XPU platform dispatch、PyTorch-native fallback、CUDA contract 与非同义 override 边界 | [CustomOp dispatch rules](rules-custom-op-dispatch.md) |
 | runtime temporary 与 loader-scoped parameter dtype、shared RMSNorm accuracy | [tensor dtype rules](rules-tensor-dtype.md) |
 | Wan VAE height/width spatial reshard、empty tail、attention extent | [Wan spatial-shard rules](rules-wan-spatial-shard.md) |
-| multi-DiT、dotted `_dit_modules`、loader-to-offloader handoff 与跨 Cache-DiT/compile/LoRA/offload lifecycle | [component lifecycle rules](rules-component-lifecycle.md) |
-| PEFT 与 distilled LoRA、startup fusion、delta/key/alpha、Qwen/Wan transformer mapping | [LoRA rules](rules-lora.md) |
+| multi-DiT、dotted `_dit_modules`、loader-to-offloader handoff 与跨 Cache-DiT/compile/LoRA/offload lifecycle、batch sampling-key 的 provided 标志 | [component lifecycle rules](rules-component-lifecycle.md) |
+
+| PEFT 与 distilled LoRA、startup fusion、delta/key/alpha、Qwen/Wan transformer mapping、PEFT suspend/resume | [LoRA rules](rules-lora.md) |
+
 | Blackwell FA4、显式/auto CUDA backend、per-role mask/SP pad；local FlashAttention deterministic opt-in、role-aware masked cross-attention、NPU packed mask-free/laser fallback、TRTLLM packed-padding 与 config propagation | [attention rules](rules-attention.md) |
 | SP auto-padding、`mask_sp_padding`、dense/varlen 与 advanced UAA 边界 | [SP padding rules](rules-sp-padding.md) |
 | video/audio mux、DLO DP wave、RPC reply ownership/result release、result queue、async pump、SHM ownership、async-output wait 与 shutdown | [output/runtime rules](rules-output-lifecycle.md) |
 | distilled continuous sigma schedule、boundary/step 语义与 modality shift | [sigma schedule rules](sigma-schedules.md) |
 | HunyuanImage3 Distil CFG、MeanFlow special-token / scheduler-r 合同 | [HunyuanImage3 HY3-8d](../../models/hunyuan-image3/rules.md) |
 | diffusion step 与 request/continuous batching；DIFF-1af BAGEL image step wave、packed state、geometry/CFG admission 与 fallback cleanup | [step and batching](step-and-batching.md) |
 | request-wave admission coalescing、stable window、deadline 与 finite config | [admission wait rules](rules-admission-wait.md) |
-| paged KV/cache 预算、native/backend/platform 闭环、GQA/Ring/Ulysses layout、FlashInfer plan、能力 metadata | [paged cache 与系统运行时规则](rules-system-runtime.md) |
+| paged KV/cache 预算、native/backend/platform 闭环、GQA/Ring/Ulysses layout、FlashInfer plan、能力 metadata、cache_backend None 规范化 | [paged cache 与系统运行时规则](rules-system-runtime.md) |
+
 | Scheduler-managed diffusion KV 的请求控制面、Hunyuan layout 与未实现边界 | [paged KV control plane](paged-kv-control-plane.md) |
 | Cache-DiT、TeaCache 和 prefix cache | [cache acceleration](cache-acceleration.md) |
 | TP/PP/SP/CFG/VAE/HSDP 等并行策略 | [parallelism](parallelism.md) |

diff --git a/knowledge/repos/vllm-omni/components/diffusion/rules-component-lifecycle.md b/knowledge/repos/vllm-omni/components/diffusion/rules-component-lifecycle.md
@@ -1,10 +1,10 @@
 ---
 title: "Diffusion component lifecycle 规则"
 created: 2026-09-02
-updated: 2026-09-05
+updated: 2026-09-09
 type: rule
 tags: [vllm-omni, components, diffusion]
-sources: ["PR #5720", "PR #5853", "PR #5882", "PR #5884", "PR #6486", "PR #6591", vllm_omni/diffusion/cache/base.py, vllm_omni/diffusion/cache/cachedit/backend.py, vllm_omni/diffusion/cache/cachedit/runtime.py, vllm_omni/diffusion/lora/manager.py, vllm_omni/diffusion/models/interface.py, vllm_omni/diffusion/offloader/module_collector.py, vllm_omni/diffusion/offloader/startup.py, vllm_omni/diffusion/registry.py, vllm_omni/diffusion/sched/interface.py, vllm_omni/diffusion/worker/diffusion_model_runner.py, tests/diffusion/cache/test_cache_backends.py, tests/diffusion/cache/test_cache_dit_request_runtime.py, tests/diffusion/models/sana_video/test_cache_offload.py, tests/diffusion/test_diffusion_model_runner.py, tests/diffusion/test_diffusion_scheduler.py, "PR #6070", "vllm_omni/diffusion/models/ltx2/ltx2_recipes.py", "PR #6072"]
+sources: ["PR #5720", "PR #5853", "PR #5882", "PR #5884", "PR #6486", "PR #6591", vllm_omni/diffusion/cache/base.py, vllm_omni/diffusion/cache/cachedit/backend.py, vllm_omni/diffusion/cache/cachedit/runtime.py, vllm_omni/diffusion/lora/manager.py, vllm_omni/diffusion/models/interface.py, vllm_omni/diffusion/offloader/module_collector.py, vllm_omni/diffusion/offloader/startup.py, vllm_omni/diffusion/registry.py, vllm_omni/diffusion/sched/interface.py, vllm_omni/diffusion/worker/diffusion_model_runner.py, tests/diffusion/cache/test_cache_backends.py, tests/diffusion/cache/test_cache_dit_request_runtime.py, tests/diffusion/models/sana_video/test_cache_offload.py, tests/diffusion/test_diffusion_model_runner.py, tests/diffusion/test_diffusion_scheduler.py, "PR #6070", "vllm_omni/diffusion/models/ltx2/ltx2_recipes.py", "PR #6072", "PR #7078"]
 confidence: high
 ---
 
@@ -119,3 +119,10 @@ residency 留在模型 owner。规则入口与其他共享机制仍见 [Diffusio
   retry 与 required no-retry；断言 partial backend disable、carrier/lease close、fresh path bypasses
   HWR and checkpoint mmap；另注入 unregistration failure，断言 retryable retention、backend drop 和
   distributed teardown ordering。^[PR #6486] ^[PR #6591]
+
+## DIFF-2ad — batch-first sampling gate 的 provided 标志必须进入 RequestBatchSamplingParamsKey
+
+- 触发：修改 `RequestBatchSamplingParamsKey`、`_build_sampling_params_key`，或 pipeline 从 batch 首请求读取 `*_provided` 再决定 guidance/image-guidance 行为。
+- 强制：凡 pipeline 用 “omitted vs explicit” provided 标志做 batch-local gate 的字段，都必须进入 request-mode 与 step-mode 的 sampling-params key；数值相等但 provided 不同的请求不得合批。当前合同要求 `guidance_scale_2_provided` 与数值 `guidance_scale_2` 一并参与 key。
+- 禁止：只比较 auto-fill 后的数值；假设同数值即同语义；只更新 request scheduler 而漏掉 step scheduler；把 H3 等 single-request guard 当作可合批模型的例外模板。
+- 验收：用真实 key builder 覆盖 omitted `guidance_scale_2` 与显式同值、数值不同，以及两套 scheduler 的 key 分离；并断言 pipeline 首请求 gate 不会跨不同 provided 语义共享 batch。^[PR #7078]
diff --git a/knowledge/repos/vllm-omni/components/diffusion/rules-lora.md b/knowledge/repos/vllm-omni/components/diffusion/rules-lora.md
@@ -1,10 +1,10 @@
 ---
 title: "Diffusion LoRA 规则"
 created: 2026-09-02
-updated: 2026-09-05
+updated: 2026-09-09
 type: rule
 tags: [vllm-omni, components, diffusion]
-sources: ["PR #2783", docs/user_guide/diffusion/lora.md, vllm_omni/config/omni_config.py, vllm_omni/config/stage_config.py, vllm_omni/diffusion/data.py, vllm_omni/diffusion/lora/loader.py, vllm_omni/diffusion/lora/manager.py, vllm_omni/diffusion/lora/layers/base_linear.py, vllm_omni/diffusion/models/qwen_image/pipeline_qwen_image.py, vllm_omni/diffusion/models/wan2_2/pipeline_wan2_2.py, vllm_omni/diffusion/models/wan2_2/pipeline_wan2_2_i2v.py, vllm_omni/diffusion/utils/tf_utils.py, vllm_omni/diffusion/worker/diffusion_worker.py, vllm_omni/engine/async_omni_engine.py, vllm_omni/entrypoints/cli/serve.py, tests/diffusion/lora/test_loader.py, tests/diffusion/lora/test_lora_manager.py, tests/entrypoints/test_async_omni_diffusion_config.py, "PR #5500", "vllm_omni/diffusion/models/ltx2/ltx2_adapter_parser.py", "vllm_omni/diffusion/models/ltx2/ltx2_phase_adapter.py", "PR #6070", "PR #6476", "PR #6550", vllm_omni/diffusion/models/minimax_h3/lora.py, "PR #6268", benchmarks/kernels/benchmark_diffusion_lora_expand.py, tests/diffusion/lora/test_base_linear.py]
+sources: ["PR #2783", docs/user_guide/diffusion/lora.md, vllm_omni/config/omni_config.py, vllm_omni/config/stage_config.py, vllm_omni/diffusion/data.py, vllm_omni/diffusion/lora/loader.py, vllm_omni/diffusion/lora/manager.py, vllm_omni/diffusion/lora/layers/base_linear.py, vllm_omni/diffusion/models/qwen_image/pipeline_qwen_image.py, vllm_omni/diffusion/models/wan2_2/pipeline_wan2_2.py, vllm_omni/diffusion/models/wan2_2/pipeline_wan2_2_i2v.py, vllm_omni/diffusion/utils/tf_utils.py, vllm_omni/diffusion/worker/diffusion_worker.py, vllm_omni/engine/async_omni_engine.py, vllm_omni/entrypoints/cli/serve.py, tests/diffusion/lora/test_loader.py, tests/diffusion/lora/test_lora_manager.py, tests/entrypoints/test_async_omni_diffusion_config.py, "PR #5500", "vllm_omni/diffusion/models/ltx2/ltx2_adapter_parser.py", "vllm_omni/diffusion/models/ltx2/ltx2_phase_adapter.py", "PR #6070", "PR #6476", "PR #6550", vllm_omni/diffusion/models/minimax_h3/lora.py, "PR #6268", benchmarks/kernels/benchmark_diffusion_lora_expand.py, tests/diffusion/lora/test_base_linear.py, "PR #7195"]
 confidence: high
 ---
 
@@ -22,10 +22,13 @@ confidence: high
 | Wan dual transformer、high/low-noise file order、partial load | `DIFF-2n` | `WanLoraLoaderMixin` → `get_transformer_from_pipeline(name)` → `transformer`/`transformer_2` |
 | LoRA linear active output slices、inference expand accumulation、autograd/dtype fallback | `DIFF-2ab` | `diffusion/lora/layers/base_linear.py::DiffusionBaseLinearLayerWithLoRA.apply` |
 | legacy dynamic adapter hook、packed/stacked binding、DLO sidecar residency、activation rollback | `DIFF-2x` | `DiffusionLoRAManager::{_load_adapter,_bind_adapter_weights,_activate_adapter}` → model pipeline hook |
+| PEFT deactivate/suspend、slice-mask resume、同 adapter+scale 再激活不 re-upload | `DIFF-2ae` | `DiffusionLoRAManager` deactivate/activate → `DiffusionBaseLinearLayerWithLoRA::{suspend_lora,resume_lora}` |
+
 
 | 审查组 | 什么时候触发 | 规则 ID |
 |---|---|---|
-| `checkpoint-distributed` | diffusion LoRA backend、checkpoint、融合与 transformer mapping | `DIFF-2l`, `DIFF-2m`, `DIFF-2n`, `DIFF-2x` |
+| `checkpoint-distributed` | diffusion LoRA backend、checkpoint、融合与 transformer mapping | `DIFF-2l`, `DIFF-2m`, `DIFF-2n`, `DIFF-2x`, `DIFF-2ae` |
+
 
 ## DIFF-2l — backend 是 startup 配置，不是 request 字段
 
@@ -127,3 +130,10 @@ confidence: high
 - 强制：DLO owns base-weight streaming only。DLO-enabled manager 在 wrapper replacement 时必须要求可用的 resident-buffer protocol、将 request-switchable A/B sidecars 放在 compute device，且 wrapper 因更大 rank 重新分配后必须重放该 device placement；缺 protocol fail closed。非 DLO path 不得获得此 placement side effect。
 - 禁止：将已识别的专用 artifact 悄悄退回 generic loader；按名称而非真实绑定确认成功；将一个模型的 packed layout/scale 规则泛化给所有 diffusion 模型；失败后继续声明旧 adapter active；把 sidecars 加入 DLO host shards/collective，或靠每 block transfer 伪装为 DLO support。
 - 验收：CPU regressions 覆盖 model hook/fallback、binding completeness、mid-loop failure 后 reset 与旧 adapter retry；DLO mock 覆盖 replacement 的 compute-device placement、缺 resident protocol 的 fail-closed 以及 rank-driven reallocation 后 A/B buffer 仍在该 device。模型 integration 另覆盖 artifact identity、target/shape rejection、packed QKV/FFN binding 和实际 request sampling contract。^[PR #6476] ^[PR #6550]
+
+## DIFF-2ae — PEFT 去激活必须 suspend 切片掩码并保留 uploaded 权重
+
+- 触发：修改 `DiffusionLoRAManager` 的 deactivate/activate、`DiffusionBaseLinearLayerWithLoRA` 的 active-slice mask，或混合 base/adapted 请求切换路径。
+- 强制：deactivate 只 `suspend_lora()`（保存并清零 `_diffusion_lora_active_slices`），保留 stacked A/B；同一 adapter_id 与同一 rounded scale 再激活时 `resume_lora()` 复原掩码，禁止整层 `reset_lora`+rebind。`_suspended_adapter_id` 在真实 reset、rank 驱动的 `create_lora_weights`、新 bind 开始、以及 remove 被 suspend 的 adapter 时必须清空；不同 adapter 或不同 scale 仍走完整 rebind。
+- 禁止：把 suspend 当成可丢弃的 upload；resume 覆盖后注册的新 layer 的 inactive mask；在失败 bind 后仍保留旧 suspended 身份。
+- 验收：CPU 覆盖 suspend/resume、同 id+scale 不 re-upload、不同 scale/id 走 rebind、remove suspended 触发 reset、中途失败后 inactive，以及 add_adapter 后新 layer 不被错误 resume。^[PR #7195]
diff --git a/knowledge/repos/vllm-omni/components/diffusion/rules-system-runtime.md b/knowledge/repos/vllm-omni/components/diffusion/rules-system-runtime.md
@@ -1,10 +1,10 @@
 ---
 title: "Diffusion paged cache 与系统运行时规则"
 created: 2026-09-03
-updated: 2026-09-05
+updated: 2026-09-09
 type: rule
 tags: [vllm-omni, components, diffusion]
-sources: ["PR #5255", "PR #5344", "PR #5543", "PR #5838", "PR #6094", "PR #6102", "PR #6385", "PR #6340", "PR #6714", "PR #6814", "PR #6563", "PR #5716", "PR #6786", vllm_omni/diffusion/attention/, vllm_omni/diffusion/attention/parallel/ulysses.py, vllm_omni/diffusion/attention/parallel/ring_kernels.py, vllm_omni/diffusion/diffusion_kv/, vllm_omni/diffusion/distributed/cfg_parallel.py, vllm_omni/diffusion/distributed/parallel_state.py, vllm_omni/diffusion/worker/diffusion_model_runner.py, vllm_omni/platforms/interface.py, vllm_omni/platforms/npu/platform.py, tests/diffusion/diffusion_kv/, tests/diffusion/distributed/test_cfg_parallel.py, tests/diffusion/attention/test_piecewise_attn.py, tests/diffusion/attention/test_ulysses_uaa.py, "PR #5491", "PR #5194", "vllm_omni/diffusion/data.py", "vllm_omni/diffusion/utils/hf_utils.py"]
+sources: ["PR #5255", "PR #5344", "PR #5543", "PR #5838", "PR #6094", "PR #6102", "PR #6385", "PR #6340", "PR #6714", "PR #6814", "PR #6563", "PR #5716", "PR #6786", vllm_omni/diffusion/attention/, vllm_omni/diffusion/attention/parallel/ulysses.py, vllm_omni/diffusion/attention/parallel/ring_kernels.py, vllm_omni/diffusion/diffusion_kv/, vllm_omni/diffusion/distributed/cfg_parallel.py, vllm_omni/diffusion/distributed/parallel_state.py, vllm_omni/diffusion/worker/diffusion_model_runner.py, vllm_omni/platforms/interface.py, vllm_omni/platforms/npu/platform.py, tests/diffusion/diffusion_kv/, tests/diffusion/distributed/test_cfg_parallel.py, tests/diffusion/attention/test_piecewise_attn.py, tests/diffusion/attention/test_ulysses_uaa.py, "PR #5491", "PR #5194", "vllm_omni/diffusion/data.py", "vllm_omni/diffusion/utils/hf_utils.py", "PR #7041"]
 confidence: high
 ---
 
@@ -205,3 +205,10 @@ confidence: high
 - 强制：Scheduler 只拥有 logical block allocation、generation 和 `DiffusionKVMetadata`；每个 Worker rank 消费自己的 `KVCacheConfig`，拥有物理 KV tensors、native `BlockTables` 和 request/sequence/context rows。安装 metadata 前必须校验 group/count/range/capacity，并以 staged append、apply 和失败 rollback 原子发布；重复 generation 幂等，冲突或过期快照拒绝，BlockTables 变更使已准备的 attention batch 失效，终止时先清 Worker rows 而不释放 Scheduler blocks。request-mode runner 负责从 snapshot 构造并激活 prefill/denoise row metadata；model 只提供 Q/K/V layout 与 `full_attn_spans`。
 - 禁止：Worker 自行分配或释放 Scheduler-owned logical blocks；把部分 row 安装、native append/apply 异常或 stale snapshot 当作成功；从 padding 猜异构 prefix 的逻辑布局；在清理或 wake refresh 后继续复用旧的 native metadata/buffer view。
 - 验收：CPU/mock 覆盖 rank-local config、请求/上下文 row mapping、重复/过期/冲突 generation、非法 block 与容量、append/apply rollback、幂等清理和 wake refresh；GPU/NPU 另验证非连续 BlockTables、32Q/8KV GQA、异构 prefix 与 piecewise attention。Hunyuan paged request execution 不证明 `denoise_step`、cross-request prefix reuse、AR KV、negative CFG、Ring 或 AllGather。^[PR #6102] ^[PR #6563]
+
+## DIFF-4ac — 声明为 str 的 diffusion cache_backend 必须在 kwargs 边界把显式 None 规范成 none
+
+- 触发：修改 `normalize_omni_diffusion_kwargs`、`OmniDiffusionConfig.cache_backend`，或 pipeline/runner 对 cache backend 的 admission 校验。
+- 强制：字段声明为 `str` 且 canonical “无 cache” sentinel 为 `"none"` 时，key 缺失才允许走 env/`"none"` 默认；调用方传入显式 `None`（如 CLI `default=None`）必须在 kwargs 边界规范成 `"none"`，且不得回落到 `DIFFUSION_CACHE_BACKEND` 查找。下游校验可把残留 `None` 当 `"none"` 作 defense-in-depth，但不能代替边界规范化。
+- 禁止：只在 key 缺失时默认、让显式 `None` 泄漏成 typed `str` 字段上的 `None`；把 `"none"` 与 env 覆盖混为一谈；把某一 pipeline 的 `None` 特判当成唯一修复点。
+- 验收：`from_kwargs`/`create_default_diffusion` 对 `cache_backend=None` 断言最终为 `"none"`；至少一个严格 `("none", …)` 校验路径覆盖 `None` 与 `"none"` 均可通过，未知 backend 仍拒绝。^[PR #7041]