release: add versioned binary manifest (W5)

.agents/NOW.md

@@ -9,8 +9,7 @@ benchmark record. Budget: 100 lines.
 
 ## Live claims
 
-Working head: `row/backend-rocm-w0` (#41). Prior: benchmark checkpoint
-`bench/qwen35-upstream-rebenchmark-20260805` on `upstream/main` @ `59674cf1d`.
+Working head: `row/ENG-RELEASE-BINARIES` (W5; draft PR #141).
 
 | Claim / track | State | Next command or step |
 |---|---|---|
@@ -29,8 +28,8 @@ Working head: `row/backend-rocm-w0` (#41). Prior: benchmark checkpoint
 | `/v1/videos` OpenAI shape | **MERGED** (#71): Sora `model`/`size`/`seconds` + `GET /{id}/content` | `row/SERVE-VIDEOS-REFS` PR open: reference conditioning |
 | `BACKEND-ROCM` | **(b) fix in, unverified; W0 green 4 archs** | compile + 2 new ctests + M2 ([spec](specs/rocm-unified-memory-b.md)) |
 | TP spike #287 (PR #143) | **LANDED** ([spec](specs/tensor-parallelism-spike.md)); DSpark rider grounded | dispatch TP-W1 (CPU-able) |
-| Release | SPIKE; 30/30 | #129 |
-| Surface coverage (`ARCH-ONE-SURFACE`) | ROW 8 + #139 IN; **ROW 6 IN REVIEW (#137): embeddings LIVE — `LlamaModel` arch, PoolingRunner in the step, `vllm_embed` v15, `/v1/embeddings`, fold gate 4/4-231, 9 kills** | Merge #137; real-ckpt oracle cosine residual |
+| Release | **ACTIVE; W5 19/19 + 10/10 review mutations; contract 30/30** | Review #141; artifacts pending |
+| Surface coverage (`ARCH-ONE-SURFACE`) | ROW 8 + #139 IN; **ROW 6 PARTIAL on main `57ed063e`: embeddings LIVE — `LlamaModel` arch, PoolingRunner in the step, `vllm_embed` v15, `/v1/embeddings`, fold gate 4/4-231, 9 kills** | Register 7 sibling memberships; run real-ckpt oracle cosine |
 
 In-flight (default-OFF, not pushed): `laguna-fp4proj-prod`, laguna
 bf16/legacy/pipeline-gemv, `ds4-hc-expand-fuse`.

.agents/engine-matrix.md

@@ -42,11 +42,11 @@ forensics: roadmap_v1.md and the parity ledger.
 | Sampling and generation | 15 | 4 | 2 | 0 | 0 | 3 | 0 | 1 | 5 |
 | Structured output and tools | 7 | 0 | 3 | 0 | 0 | 2 | 0 | 0 | 2 |
 | Speculative decoding | 21 | 0 | 0 | 1 | 0 | 4 | 0 | 4 | 11 |
-| Serving, API, CLI, library | 25 | 10 | 2 | 1 | 0 | 5 | 2 | 1 | 4 |
+| Serving, API, CLI, library | 25 | 10 | 2 | 0 | 0 | 6 | 2 | 1 | 4 |
 | LoRA and adapters | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
 | Long context and attention | 10 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 3 |
 | Loading, tokenizer, config | 9 | 3 | 3 | 0 | 0 | 0 | 1 | 1 | 1 |
-| **Total** | **143** | **36** | **16** | **4** | **7** | **21** | **8** | **9** | **41** |
+| **Total** | **143** | **36** | **16** | **3** | **7** | **22** | **8** | **9** | **41** |
 
 ## Engine core and scheduling
 
@@ -207,7 +207,7 @@ claims it.
 | `SERVE-CLI-BENCH` | Serve and latency/throughput/serve benchmark modes | T0 | `vllm/entrypoints/cli/serve.py:44`; `vllm/entrypoints/cli/benchmark/main.py:29` | separate binaries + explicit scheduler-capacity flags `examples/server/main.cpp:63,96,116,170`; `examples/bench/main.cpp:40,109`; `examples/bench/bench_core.h:96,468` | server help contract `examples/CMakeLists.txt:34`; benchmark `tests/examples/test_bench.cpp:15,48` | `planned: specs/cli-serve-bench.md` | `PARTIAL` | - |
 | `SERVE-GATE-ONLINE` | Same-corpus online correctness, TTFT/TPOT/ITL, throughput and peak-memory gate vs vLLM v0.25.0 | T0 | `vllm/benchmarks/serve.py:1,581-615`; [v0.25 audit](sync/2026-07-12-702f481.md); `tests/benchmarks/test_serve_cli.py:1` | Schema-v5 harness plus [trace controller](../include/vt/cuda/cuda_profiler_control.h#L13), [production component driver](../scripts/dgx-gdn-packed-component.sh), and fail-closed [component finalizer](../tools/bench/gdn_packed_component.py) | **BINDING `9ecd9d0`: 114/124** (async default ON; mem 4/4, c1 20/20, c2 20/20, c16 19/20, c4 & c32 18/20, c8 15/20; `benchmark_binding` refers here, superseding `3f256ab` 55/124 and `246a23c` 49/124, both retained immutable). Two-grid totality with `f0fb727` (111/124) is 115/124 effective parity vs vLLM 0.25.0 (27B). Async CLOSED the c16/c32 ITL tails (ours now BEATS vLLM: c16 p99 1.055, c32 p90 1.034/p99 1.078) and leaves a stable c8 `p99_itl` ~0.86 residual, ROOT-CAUSED (2026-07-18, `CLAIM-C8-P99-TAIL-1`, [spec](specs/c8-p99-itl-tail-2026-07-18.md)) as IRREDUCIBLE-AS-MIRRORED: our deterministic synchronous forward keeps co-admitted c8 requests in byte-identical lockstep where vLLM's async-future jitter de-phases them; the c16/c32 INVERSION proves this is the trailing edge of the per-step determinism that wins c16/c32 + throughput, not a capability gap (scheduler + async placeholder byte-identical, `tests/vllm/v1/test_scheduler_wave.cpp:265`, [tail spec](specs/tail-stall-analysis-2026-07-16.md)). Full grid + per-binding forensics: roadmap_v1.md + parity ledger; no packed speed credit | [online serving gate](specs/cuda-online-serving-gate.md); [merged GDN projections](specs/gdn-merged-input-projections.md); [packed decode](specs/gdn-packed-decode.md) | `ANCHOR-BACKFILL` | CLAIM-SERVE-GATE-1 |
 | `SERVE-E2E-NIGHTLY` | Server conformance and real-model nightly suites for all release gates | T0 | `tests/entrypoints/openai/`; `tests/v1/e2e/`; `.buildkite/test-pipeline.yaml` | current unit/conformance tests only; no scheduled DGX suite | `tests/vllm/entrypoints/openai/test_conformance.cpp:1`; `tests/parity/test_qwen36_paged_engine.cpp:78`; `tests/parity/test_qwen27_paged_engine.cpp:110` | `planned: specs/server-e2e-nightly.md` | `INVENTORIED` | - |
-| `ENG-RELEASE-BINARIES` | Downloadable host-ABI-specific `vllm-server` bundles: adaptive CPU and fat CUDA primary artifacts, optional per-SM diagnostics, and literal-static feasibility boundary | T0 | vLLM release lanes `.buildkite/release-pipeline.yaml:1-18,34-170` @ `555967922`; release-image dependency boundary `docker/Dockerfile.cpu:262-290` | server target only `examples/CMakeLists.txt:54-64`; CPU per-TU/runtime-dispatch baseline `CMakeLists.txt:870-890`, `src/vt/cpu/cpu_matmul_elem.cpp:553-612`, `src/vt/cpu/cpu_quant_dot_arm.cpp:39-77`; cross-family CUDA fat/per-source-gencode and multi-SM AOT gaps remain; no install/archive/publish implementation | help smoke only `examples/CMakeLists.txt:59-63`; issue `#117`; user-reviewed fat-CUDA/adaptive-CPU matrix and gates in [release-binary-matrix.md](specs/release-binary-matrix.md) | [release-binary-matrix.md](specs/release-binary-matrix.md) | `SPIKE` | `CLAIM-ENG-RELEASE-BINARIES-SPIKE` |
+| `ENG-RELEASE-BINARIES` | Downloadable host-ABI-specific `vllm-server` bundles: adaptive CPU and fat CUDA primary artifacts, optional per-SM diagnostics, and literal-static feasibility boundary | T0 | vLLM release lanes `.buildkite/release-pipeline.yaml:1-18,34-170` @ `555967922`; release-image dependency boundary `docker/Dockerfile.cpu:262-290` | W5 schema `release/manifest-v1.schema.json:1`, deterministic build-time generator/validator `scripts/release_manifest.py:21`, and CPU/CUDA contract fixtures implemented; CPU tier kernel-family/bit/OS-probe inventories are exact and schema const/enum comparisons are JSON-type-strict; server target remains `examples/CMakeLists.txt:54-64`; cross-family CUDA fat/per-source-gencode, multi-SM AOT, CPU forced-tier, install/archive/publish implementation and all real release evidence remain pending | W5 contract/mutation suite `tests/scripts/test_release_manifest.py:260` 19/19 plus ten fresh-review production removals killed independently; existing accepted release-contract suite 30/30; fixtures are synthetic and no archive, staged smoke, runtime, correctness or performance evidence exists | [release-binary-matrix.md](specs/release-binary-matrix.md) | `ACTIVE` | `CLAIM-ENG-RELEASE-BINARIES-W5` |
 | `SERVE-CLI-CHAT` | Interactive `chat` and `complete` commands against a running OpenAI-compatible server, plus preservation of the existing local-model completion invocation | T1 | registration `vllm/entrypoints/cli/main.py:17-37,73-98`; client/model resolution + stream shaping `vllm/entrypoints/cli/openai.py:30-100`; chat `:155-234`; complete `:237-312` at `5559679229` | current in-process completion only `examples/cli/main.cpp:1-207`; remote command implementation absent | C-ABI stream baseline `tests/capi/test_capi.cpp:567-711`; chat-template baseline `tests/capi/test_chat_prompt.cpp:37-89`; command/fake-server tests absent | [cli-chat-complete.md](specs/cli-chat-complete.md) | `ANCHOR-BACKFILL` | `CLAIM-SERVE-CLI-CHAT-SPIKE` |
 | `SERVE-POOLING-ENDPOINTS` | Embeddings, pooling, score, rerank, classify HTTP surface (`/v1/embeddings`, `/pooling`, `/score`, `/rerank`, `/classify`). **SPIKED 2026-07-28 (`CLAIM-POOLING`):** the whole pooling task class is scoped in [pooling-task-class.md](specs/pooling-task-class.md). **`/v1/embeddings` LIVE 2026-08-08 (ARCH-ONE-SURFACE ROW 6, `CLAIM-EMBEDDINGS-ONE-SURFACE`):** task-conditional registration (embed/api_router.py:22-28 mirror; the route exists ONLY on a pooling-model server, and the generate routes do not — both directions socket-404-pinned), OpenAI request/response shape (string-or-array input; `dimensions`/base64/token-arrays are named-residual 400s), handler drives the ONE engine path (`LoadedEngine -> LLMEngine::embed -> registry forward -> PoolingRunner`) — the same path `vllm_embed` (ABI v15) drives. RESIDUALS: `/pooling`, `/score`, `/rerank`, `/classify` (need a classify arch) | T2 | `vllm/entrypoints/pooling/embed/api_router.py:28`; `vllm/entrypoints/pooling/embed/protocol.py:34,173-185`; `vllm/entrypoints/pooling/scoring/api_router.py:37,71`; `vllm/entrypoints/pooling/classify/api_router.py:26` | `src/vllm/entrypoints/openai/api_server.cpp` `handle_embeddings` + the `if (embedder_)` route gate; `examples/server/main.cpp` pooling task dispatch | `tests/vllm/entrypoints/openai/test_api_server.cpp` embeddings section (dispatch shape + socket smoke + BOTH-direction 404 pins) | [embeddings-one-surface.md](specs/embeddings-one-surface.md) | `ACTIVE` | `CLAIM-EMBEDDINGS-ONE-SURFACE` |
 | `ENG-POOLER-SEQ` | The non-generative POOLER OP — turn hidden states into a pooled embedding/logit row instead of a sampled token. **W1 LANDED + CPU-GATED 2026-07-28 (`CLAIM-POOLING`, NOT pushed):** the sequence pooling methods `CLSPool`/`LastPool`/`MeanPool` (+ `GetSeqPoolingMethod` factory) over a packed `[num_tokens, hidden]` CPU buffer keyed by a minimal `PoolingCursor` (CLS/MEAN reject partial prefill, LAST allows it, MeanPool upcasts to float32) and the activation heads `PoolerIdentity`/`PoolerNormalize` (L2 `F.normalize`)/`PoolerMultiLabelClassify` (sigmoid)/`PoolerClassify` (sigmoid if `num_labels<2` else `softmax`). Unit-gated vs DOUBLE-PRECISION references, RED-first. **W2 LANDED + CPU-GATED 2026-07-29 (`CLAIM-POOLING`, NOT pushed):** the pooler HEADS composite (`EmbeddingPoolerHead` = projector→matryoshka→normalize; `ClassifierPoolerHead` = classifier→`(logit-mean)/sigma`→activation), the `SequencePooler` (method∩head task intersection) + `PoolerForEmbed`/`PoolerForClassify` factories, the `DispatchPooler` groupby-task routing (`ForEmbedding`/`ForSeqCls` + a mixed embed+classify batch + ctor task-support validation), and the `PoolerConfig`/`PoolingParams`/`PoolingParamsUpdate` structs; `test_pooler_heads` 27/27 (240 asserts) vs double-precision refs, RED-first (disable matryoshka slice + logit_mean calibration → 8 cases / 50 asserts fail). RESIDUALS (named, spec §Work breakdown): the endpoints (W4), tokwise `AllPool`/`StepPool` (W5), a concrete pooling MODEL + real-oracle cosine gate (W3-model — see `ENG-POOLING-RUNNER`) | T2 | `vllm/model_executor/layers/pooler/seqwise/methods.py:35-121`; `vllm/model_executor/layers/pooler/activations.py:106-158`; `vllm/model_executor/layers/pooler/seqwise/heads.py:19-196`; `vllm/model_executor/layers/pooler/seqwise/poolers.py:41-138`; `vllm/model_executor/layers/pooler/special.py:23-140`; `vllm/model_executor/layers/pooler/common.py:12-30`; `vllm/pooling_params.py:35-70`; `vllm/config/pooler.py:16-90`; `vllm/v1/pool/metadata.py:13-71`; `tests/model_executor/layers/test_pooler_methods.py`, `tests/model_executor/layers/test_pooler_activations.py`, `tests/model_executor/layers/test_pooler_heads.py` | `include/vllm/model_executor/layers/pooler/{methods,activations,pooling_metadata,common,pooling_params,pooler_config,heads,poolers,dispatch_pooler}.h` + `src/vllm/model_executor/layers/pooler/{methods,activations,heads,poolers,dispatch_pooler}.cpp` — anchor `src/vllm/model_executor/layers/pooler/dispatch_pooler.cpp:13` | `tests/vllm/model_executor/layers/pooler/test_pooler.cpp` (CLS/LAST/MEAN + factory + activations, 50 asserts) + `test_pooler_heads.cpp` (Embedding/Classifier heads + SequencePooler + DispatchPooler, 240 asserts) — anchor `tests/vllm/model_executor/layers/pooler/test_pooler.cpp:81` | [pooling-task-class.md](specs/pooling-task-class.md) | `ACTIVE` | `CLAIM-POOLING` |