[TRTLLM-15465][feat] Support SA speculative decoding under disaggregated serving for Kimi K3 - #17939
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…ted serving for Kimi K3 Suffix-automaton (SA) speculative decoding and disaggregated serving are each already supported on main; combining them for Kimi K3 needs no new code, only configuration. - Add examples/kimi_k3/disagg/gen_config.yaml: the generation-server example config with SA enabled (DEP16, eager, cuda_graph_config null, overlap scheduler off, max_batch_size <= 8 for the SpeculativeState buffers). Pairs with the existing gen_config_no_sa.yaml. - Add disaggregated SA integration tests test_disaggregated_sa (DEFAULT transceiver) and test_disaggregated_sa_python (NIXL + PYTHON transceiver runtime) with their config fixtures. Both exercise a context (no speculation) + generation (SA) split on TinyLlama-1.1B. - Wire test_disaggregated_sa into l0_a10 and the QA core function list. - Update examples/kimi_k3/README.md and examples/kimi_k3/disagg/README.md to reflect that SA under disaggregated serving is now supported. Both integration tests pass on a clean build of this change on top of main. Signed-off-by: Brian Nguyen <brnguyen@nvidia.com>
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Included review availability: Your plan provides up to 12 included reviews per hour; 9 remain after this review. WalkthroughThe change documents Kimi K3 disaggregated suffix-automaton speculation, adds a generation configuration, and introduces TinyLlama integration coverage for default and V2 Python transceiver paths. ChangesKimi K3 disaggregated SA support
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🟡 Moderate · up to The new SA disaggregated-serving test configurations do not enforce the documented batch-size limit required by SA state buffers, which can cause integration failures or mask unsupported runtime behavior; merge should wait for this configuration issue to be fixed or explicitly accepted. Sequence Diagram(s)sequenceDiagram
participant Operator
participant ContextServer
participant NIXLTransceiver
participant GenerationServer
participant IntegrationTest
Operator->>GenerationServer: Start SA-off generation server
IntegrationTest->>ContextServer: Launch disaggregated test
ContextServer->>NIXLTransceiver: Transfer KV cache
NIXLTransceiver->>GenerationServer: Provide KV cache
GenerationServer->>GenerationServer: Apply SA speculation
IntegrationTest->>GenerationServer: Validate SA-enabled serving
Possibly related PRs
Suggested labels: Suggested reviewers: 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Inline comments:
In `@tests/integration/defs/disaggregated/test_configs/disagg_config_sa.yaml`:
- Around line 18-21: Update disagg_config_sa.yaml lines 18-21 and
disagg_config_sa_python.yaml lines 26-29 as needed without adding
max_batch_size: 8; add test_disaggregated_sa_python to
tests/integration/test_lists/test-db/l0_a10.yml and
tests/integration/test_lists/qa/llm_function_core.txt alongside
test_disaggregated_sa, and add the 2026 NVIDIA copyright header to the three new
YAML files.
Apply the same fix in
`@tests/integration/defs/disaggregated/test_disaggregated.py` around lines 1846 -
1861.
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Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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📒 Files selected for processing (8)
examples/kimi_k3/README.mdexamples/kimi_k3/disagg/README.mdexamples/kimi_k3/disagg/gen_config.yamltests/integration/defs/disaggregated/test_configs/disagg_config_sa.yamltests/integration/defs/disaggregated/test_configs/disagg_config_sa_python.yamltests/integration/defs/disaggregated/test_disaggregated.pytests/integration/test_lists/qa/llm_function_core.txttests/integration/test_lists/test-db/l0_a10.yml
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Review summary - CONCERNS
Verdict: No correctness blockers — this is a configuration- and test-only PR enabling an already-supported feature combination — but the test that covers K3's actual runtime path is orphaned, so it should be wired in before merge.
Concerns
- [MAJOR]
tests/integration/defs/disaggregated/test_disaggregated.py:1848-test_disaggregated_sa_pythonnever runs in CI- What is wrong:
test_disaggregated_sa_python(ctx no-spec / gen SA on the NIXL +transceiver_runtime: PYTHONbackend) is added to the module, but it is not added totest_lists/test-db/l0_a10.ymlortest_lists/qa/llm_function_core.txt. Onlytest_disaggregated_sa(C++DEFAULTbackend) is listed. - How it fails: Both
gen_config.yamland the new test's own docstring state that K3 disagg must use the NIXL/PYTHON transceiver becauseauto/C++ throws for K3'sMixedMambaHybridCacheManager. As wired, CI validates only the backend K3 does not use and silently skips the one it does. The K3-relevant runtime combination therefore has zero CI coverage. Your own QA review in the description marks this "insufficient." - Suggested fix: add the test to both lists, e.g.
or document explicitly why the PYTHON-path test is intentionally excluded.
disaggregated/test_disaggregated.py::test_disaggregated_sa[TinyLlama-1.1B-Chat-v1.0] disaggregated/test_disaggregated.py::test_disaggregated_sa_python[TinyLlama-1.1B-Chat-v1.0]
- What is wrong:
Minor notes (non-blocking)
examples/kimi_k3/disagg/gen_config.yaml:43- orphaned comment fragment# at tokens_per_block=64). See ctx_config.yaml.with an unmatched paren wedged between unrelated lines; tidy it.tests/integration/defs/disaggregated/test_configs/disagg_config_sa.yaml:1(and the two other new YAMLs) - missing the standard 2026 NVIDIA copyright header used elsewhere.
QA view
- Test coverage: partial -
test_disaggregated_sa(C++ DEFAULT) is listed and runs;test_disaggregated_sa_python(NIXL/PYTHON, the K3-required path) is defined but in no list, so it never executes. - SM coverage: the K3
gen_config.yamltargets Blackwell/GB300 (sm100) with MLA+KDA hybrid cache, but the CI tests run TinyLlama on A10 (sm86). Acceptable for a config-only enablement, but K3's arch-specific path is not exercised here. - Test code: orphaned test (never scheduled); missing copyright headers on the three new YAMLs.
- Test time: small - one new disagg integration case actually runs (the second is orphaned).
- Needs
/qa-verify: yes - the K3-required NIXL/PYTHON path has no active CI coverage and this touches the test lists themselves; confirm the intended wiring before trusting the coverage.
Possible new issues
gen_config.yamlis an untested example (needs 16 GPUs / GB300); drift or typos in it will not be caught by CI.- The added tests validate the disagg+SA plumbing generically on TinyLlama/A10, not K3's actual MLA/KDA kernels on Blackwell.
What I could not verify
- Whether
run_disaggregated_test,setup_model_symlink, and thesa/sa_pythonconfig-key lookup behave as expected — the helper implementations are not in the diff. - Whether omitting
test_disaggregated_sa_pythonfrom the lists was a deliberate decision; the diff alone cannot settle intent.
Automated review by NVCortex Lite, run by @fredricz-20070104.
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Review summary - Approve (non-blocking)
Approving so this is not blocked on me. The points raised in my review comment above are non-blocking — please read them and address what you agree with before merging.
Worth doing before this is relied on: The orphaned test_disaggregated_sa_python means the NIXL/PYTHON path K3 actually uses has no CI coverage (partial coverage), and this is a test-infrastructure/test-list change. QA should confirm the intended list wiring before trusting the coverage claim.
Automated review by NVCortex Lite, run by @fredricz-20070104.
Signed-off-by: Brian Nguyen <brnguyen@nvidia.com>
…nfig Signed-off-by: Brian Nguyen <brnguyen@nvidia.com>
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@fredricz-20070104 thanks for the review. Addressed:
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PR_Github #67352 [ run ] triggered by Bot. Commit: |
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8 participants
Description
Suffix-automaton (SA) speculative decoding and disaggregated serving are each already supported on
main. This change enables their combination for Kimi K3, which requires configuration only — no new code.Adds
examples/kimi_k3/disagg/gen_config.yaml, the generation-server example config with SA enabled (DEP16, eager:cuda_graph_config: null, overlap scheduler off,max_batch_size <= 8for the SpeculativeState buffers). Pairs with the existinggen_config_no_sa.yaml.Adds two disaggregated SA integration tests exercising a context (no speculation) + generation (SA) split on
TinyLlama-1.1B-Chat-v1.0:test_disaggregated_sa— DEFAULT (C++) cache transceivertest_disaggregated_sa_python— NIXL backend withtransceiver_runtime: PYTHONtogether with their config fixtures.
Wires
test_disaggregated_saintol0_a10and the QAllm_function_corelist.Updates
examples/kimi_k3/README.mdandexamples/kimi_k3/disagg/README.mdto reflect that SA under disaggregated serving is now supported.Test Coverage
disaggregated/test_disaggregated.py::test_disaggregated_sa[TinyLlama-1.1B-Chat-v1.0]disaggregated/test_disaggregated.py::test_disaggregated_sa_python[TinyLlama-1.1B-Chat-v1.0]Both integration tests pass on a clean build of this change on top of
main.PR Checklist
Dev Engineer Review
QA Engineer Review
test_disaggregated_safor the default C++ cache transceiver.test_disaggregated_sa_pythonfor the NIXL V2 Python transceiver.tests/integration/defs/disaggregated/test_disaggregated.py.test_disaggregated_sain:tests/integration/test_lists/test-db/l0_a10.ymltests/integration/test_lists/qa/llm_function_core.txttest_disaggregated_sa_pythonintests/integration/test_lists/qa/llm_function_core.txt.