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[None][feat] Make the Python KV-cache transceiver the default runtime - #18134

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nv-xtf:dev-tingfengx-tx-v2-default
Aug 28, 2026
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[None][feat] Make the Python KV-cache transceiver the default runtime#18134
nv-xtf merged 6 commits into
NVIDIA:mainfrom
nv-xtf:dev-tingfengx-tx-v2-default

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Dev Engineer Review

  • transceiver_runtime: "auto" now selects the Python transceiver by default.
  • C++ fallback applies only to non-NIXL backends or kv_transfer_timeout_ms: null.
  • Unsupported configurations fail during transceiver creation.
  • Model runtime preferences are used without modification.
  • Explicit runtime values and AutoDeploy behavior remain unchanged.
  • UCX and other C++-specific configurations now set transceiver_runtime: CPP.
  • No test-list files changed.

QA Engineer Review

  • Unit tests cover runtime resolution, model preferences, backend routing, timeout handling, context parallelism, model-loader behavior, architecture preferences, and MTP execution-class rewrites.
  • Transceiver creation tests cover unsupported Python configurations for UCX, MPI, and MOONCAKE backends.
  • Integration tests cover NIXL defaults, mixed-model serving, Helix configurations, disaggregated serving, DWDP serving, and explicit C++ execution paths.
  • The modified test functions are not listed in tests/integration/test_lists/ for CI or manual QA coverage.
  • Verdict: needs follow-up.

Description

Make the Python KV-cache transceiver (V2) the default when transceiver_runtime is left at 'auto'.

Previously 'auto' resolved to the C++ transceiver unless a model opted in via get_preferred_transceiver_runtime(). Now, under 'auto':

  • A model preference from get_preferred_transceiver_runtime() ('CPP' or 'PYTHON') is adopted verbatim — never rerouted, so unsupported configurations fail loudly at transceiver creation with an actionable message.
  • Without a model preference, auto falls back to C++ only for non-NIXL backends or a null kv_transfer_timeout_ms. Other incompatibilities, including non-Helix CP, fail during transceiver creation.

Unchanged: explicit CPP/PYTHON/null values, the AutoDeploy path (still C++ under 'auto'), and the inflight-cancel validation (still raises, as it is an explicit opt-in to a CPP-only feature). The now-redundant per-model PYTHON overrides will be removed in a follow-up PR.

Since a declared preference is no longer silently rerouted on non-NIXL backends, the spots that relied on that fallback now pin transceiver_runtime: CPP explicitly: the DeepSeek helix accuracy test, the UCX/MPI DeepSeek-V3-Lite test configs, the C++-transceiver metric tests (TinyLlama on forced UCX), and the UCX example configs (kimi-k2-thinking, disaggregated slurm simple_example).

Validation: an offline sweep over all models still on the C++ transceiver (one representative per family, minimal disagg config, NIXL, V1 vs V2) shows every model with a working V1 baseline passes on V2 with identical greedy outputs and matching GSM8K/MMLU scores; no V1-works-but-V2-fails regression found. Six long-context models OOM on V1 (transfer-buffer pre-allocation) but run fine on V2.

CI impact: only two tests change their executed path — TestQwen3_8B::test_nixl_backend (auto now resolves to PYTHON) and TestQwen3_30B_A3B::test_mixed_ctx_gen_model (switched to explicit NIXL in this PR; currently skipped by the nvbugs/5748664 waiver, so it takes effect once the waiver is lifted). Until then the new default's CI coverage rests on test_nixl_backend. Explicit-runtime tests and UCX tests are unaffected.

Test Coverage

  • tests/unittest/llmapi/test_llm_args.py::TestTransceiverRuntimeAutoResolution (new default, CPP opt-out, no-preference fallbacks, and preference-preserved-on-unsupported-config cases)
  • tests/integration/defs/accuracy/test_disaggregated_serving.py::TestQwen3_8B::test_nixl_backend
  • tests/integration/defs/accuracy/test_disaggregated_serving.py::TestQwen3_30B_A3B::test_mixed_ctx_gen_model

PR Checklist

Please review the following before submitting your PR:

  • PR description clearly explains what and why. If using CodeRabbit's summary, please make sure it makes sense.

  • PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.

  • Test cases are provided for new code paths (see test instructions)

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  • Any new dependencies have been scanned for license and vulnerabilities

  • CODEOWNERS updated if ownership changes

  • Documentation updated as needed

  • Update tava architecture diagram if there is a significant design change in PR.

  • The reviewers assigned automatically/manually are appropriate for the PR.

  • Please check this after reviewing the above items as appropriate for this PR.

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nv-xtf requested review from a team as code owners August 24, 2026 09:37
@nv-xtf nv-xtf added the api-compatible Accepted LLM API contract change that is backwards-compatible label Aug 24, 2026
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Review Change Stack

Walkthrough

Automatic transceiver selection now preserves model preferences. Preference-free configurations use Python by default and fall back to C++ only for non-NIXL backends or null transfer timeouts. Incompatible Python configurations fail during transceiver creation. Tests and serving configurations reflect the updated behavior.

Changes

Transceiver runtime selection

Layer / File(s) Summary
Runtime contract and resolution
tensorrt_llm/_torch/models/modeling_utils.py, tensorrt_llm/llmapi/llm_args.py, tensorrt_llm/llmapi/llm_utils.py
The resolver preserves model-declared preferences. Without a preference, it selects Python and falls back to C++ only for non-NIXL backends or null transfer timeouts. Other incompatibilities fail during transceiver creation.
Runtime resolution validation
tests/unittest/llmapi/test_llm_args.py, tests/unittest/_torch/executor/test_kv_cache_transceiver_creation.py
Unit tests cover defaults, explicit preferences, incompatible configurations, environment routes, model loading, architecture-specific preferences, and creation-time rejection.
Disaggregated serving configuration and coverage
examples/disaggregated/slurm/..., examples/wide_ep/slurm_scripts/kimi-k2-thinking.yaml, examples/dwdp/reproduce.py, tests/integration/defs/accuracy/*, tests/integration/defs/disaggregated/test_configs/*, tests/integration/defs/disaggregated/test_disaggregated.py, tests/scripts/perf-sanity/*
Examples and integration configurations explicitly select C++ where required. Serving tests document Python selection for omitted NIXL runtime settings.

Estimated code review effort: 3 (Moderate) | ~25 minutes

Merge Risk: ⚪ Minimal · up to 4b225

The PR changes the default KV-cache transceiver selection while preserving explicit overrides and adding focused coverage; the supplied validation reports no regression in tested model behavior. Merge readiness is otherwise clear, with only a minor copyright-header follow-up in one modified script.

Suggested reviewers: bowenfu, chang-l

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 62.16% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 37 functions across 9 files. (11 skipped:… Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Title check ✅ Passed The title follows the required [None][feat] format and clearly states the primary change: making the Python KV-cache transceiver the default runtime.
Description check ✅ Passed The description explains the motivation, runtime-resolution behavior, unchanged behavior, affected configurations, validation results, CI impact, test coverage, and checklist status. It is complete an…
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.
Full details: Description check

Explanation

The description explains the motivation, runtime-resolution behavior, unchanged behavior, affected configurations, validation results, CI impact, test coverage, and checklist status. It is complete and aligned with the changeset.

Full details: Docstring Coverage

Explanation

Docstring coverage is 62.16% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 37 functions across 9 files. (11 skipped: 11 unsupported.)

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🧹 Nitpick comments (1)
tests/unittest/llmapi/test_llm_args.py (1)

3955-3959: 📐 Maintainability & Code Quality | 🔵 Trivial | 💤 Low value

Add annotations to changed test and hook functions.

Add parameter and return annotations to each changed function.

  • tests/unittest/llmapi/test_llm_args.py#L3955-L3959: annotate test_auto_no_model_preference_defaults_to_python.
  • tests/unittest/llmapi/test_llm_args.py#L4059-L4086: annotate the added test methods and _CppOptOutModel.get_preferred_transceiver_runtime.
  • tests/unittest/llmapi/test_llm_args.py#L4166-L4167: annotate test_shared_class_differentiates_per_architecture.

As per coding guidelines, “Annotate every function.”

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In `@tests/unittest/llmapi/test_llm_args.py` around lines 3955 - 3959, Annotate
every changed function in tests/unittest/llmapi/test_llm_args.py:3955-3959,
including test_auto_no_model_preference_defaults_to_python; annotate all added
test methods and _CppOptOutModel.get_preferred_transceiver_runtime in
tests/unittest/llmapi/test_llm_args.py:4059-4086; and annotate
test_shared_class_differentiates_per_architecture in
tests/unittest/llmapi/test_llm_args.py:4166-4167 with appropriate parameter and
return types.

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Nitpick comments:
In `@tests/unittest/llmapi/test_llm_args.py`:
- Around line 3955-3959: Annotate every changed function in
tests/unittest/llmapi/test_llm_args.py:3955-3959, including
test_auto_no_model_preference_defaults_to_python; annotate all added test
methods and _CppOptOutModel.get_preferred_transceiver_runtime in
tests/unittest/llmapi/test_llm_args.py:4059-4086; and annotate
test_shared_class_differentiates_per_architecture in
tests/unittest/llmapi/test_llm_args.py:4166-4167 with appropriate parameter and
return types.

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Review summary - CONCERNS

Verdict: The resolution logic is correct and well unit-tested, so it can merge on code correctness; the concern is that this flips the global default runtime for all disaggregated models while CI directly exercises only two of them.

Issues

  • [MAJOR] tensorrt_llm/llmapi/llm_utils.py:734 - global default flips to Python transceiver with thin CI coverage

QA view

  • Test coverage: partial - unit tests fully cover the resolver (python default, CPP opt-out, cp_size fallback, infinite-timeout fallback, per-arch differentiation); runtime integration coverage of the new default is limited to TestQwen3_8B::test_nixl_backend and TestQwen3_30B_A3B::test_mixed_ctx_gen_model. Other model families defaulting to Python are covered only by an offline sweep, not CI. No tests/integration/test_lists/ change detected.
  • SM coverage: architecture-independent - pure Python config resolution, no arch guards or fp8/nvfp4 kernel paths.
  • Test code: minor - new test funcs and _CppOptOutModel hook lack type annotations; integration tests assert accuracy but do not assert that 'auto' resolved to PYTHON at runtime.
  • Test time: small - three fast unit tests plus one explicit backend arg; no new parametrisation or larger model.
  • Needs /qa-verify: yes - a global default runtime flip with only two models exercised in CI; QA should run the broader disagg matrix and confirm the missing test-list coverage.

Possible new issues

  • Every disagg model leaving transceiver_runtime='auto' now runs the Python V2 transceiver; a family where V2 diverges from C++ but is not one of the two CI tests would regress silently.
  • A model explicitly returning 'PYTHON' is now silently downgraded to C++ on unsupported configs (non-NIXL / cp_size>1 / infinite timeout) - intended, but worth confirming it matches expectations.

What I could not verify

  • That llm_args.parallel_config is always populated (the cp_size check would AttributeError otherwise) - existing unit tests suggest it is, but the diff does not show the definition.
  • Runtime behaviour of the Python transceiver across the model families covered only by the offline sweep.

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: Global default runtime flip affects all disagg models but CI covers only two; QA should re-run the broader disagg model matrix and confirm the missing test-list coverage before this is trusted.

Automated review by NVCortex Lite, run by @fredricz-20070104.

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Comment thread tensorrt_llm/_torch/models/modeling_utils.py Outdated
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nv-xtf added 6 commits August 27, 2026 11:25
Signed-off-by: Tingfeng Xian <289617005+nv-xtf@users.noreply.github.com>
Signed-off-by: Tingfeng Xian <289617005+nv-xtf@users.noreply.github.com>
…eview feedback

Signed-off-by: Tingfeng Xian <289617005+nv-xtf@users.noreply.github.com>
…eview feedback

Signed-off-by: Tingfeng Xian <289617005+nv-xtf@users.noreply.github.com>
…transceiver docs

Signed-off-by: Tingfeng Xian <289617005+nv-xtf@users.noreply.github.com>
Signed-off-by: Tingfeng Xian <289617005+nv-xtf@users.noreply.github.com>
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Actionable comments posted: 1

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Inline comments:
In `@examples/disaggregated/slurm/service_discovery_example/launch.slurm`:
- Around line 48-56: Add the repository-standard NVIDIA copyright header to the
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  • examples/disaggregated/slurm/service_discovery_example/launch.slurm
  • examples/disaggregated/slurm/simple_example/ctx_extra-llm-api-config.yaml
  • examples/disaggregated/slurm/simple_example/gen_extra-llm-api-config.yaml
  • examples/dwdp/reproduce.py
  • examples/wide_ep/slurm_scripts/kimi-k2-thinking.yaml
  • tensorrt_llm/_torch/models/modeling_utils.py
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  • tensorrt_llm/llmapi/llm_utils.py
  • tests/integration/defs/accuracy/test_disaggregated_serving.py
  • tests/integration/defs/accuracy/test_dwdp_disaggregated_serving.py
  • tests/integration/defs/disaggregated/test_configs/disagg_config_ctxtp1_gentp1_deepseek_v3_lite_ucx.yaml
  • tests/integration/defs/disaggregated/test_configs/disagg_config_ctxtp2_gentp1cp2_deepseek_v3_lite_bf16_tllm_gen.yaml
  • tests/integration/defs/disaggregated/test_configs/disagg_config_ctxtp2_gentp2_deepseek_v3_lite_mpi.yaml
  • tests/integration/defs/disaggregated/test_configs/disagg_config_metrics.yaml
  • tests/integration/defs/disaggregated/test_disaggregated.py
  • tests/scripts/perf-sanity/aggregated/dynamo_deepseek_v32_fp4_2_nodes_grace_blackwell.yaml
  • tests/scripts/perf-sanity/aggregated/dynamo_k25_thinking_fp4_blackwell.yaml
  • tests/scripts/perf-sanity/disaggregated/h200_nemotron-super-fp8_8k1k_con64_ctx1_tp2_gen1_tp2_eplb0_mtp0_ccb-UCX.yaml
  • tests/unittest/_torch/executor/test_kv_cache_transceiver_creation.py
  • tests/unittest/llmapi/test_llm_args.py
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  • tests/integration/defs/disaggregated/test_configs/disagg_config_metrics.yaml
  • tests/integration/defs/disaggregated/test_disaggregated.py
  • examples/disaggregated/slurm/simple_example/ctx_extra-llm-api-config.yaml
  • tests/integration/defs/disaggregated/test_configs/disagg_config_ctxtp2_gentp1cp2_deepseek_v3_lite_bf16_tllm_gen.yaml
  • examples/wide_ep/slurm_scripts/kimi-k2-thinking.yaml
  • tests/integration/defs/disaggregated/test_configs/disagg_config_ctxtp1_gentp1_deepseek_v3_lite_ucx.yaml
  • tests/integration/defs/disaggregated/test_configs/disagg_config_ctxtp2_gentp2_deepseek_v3_lite_mpi.yaml
  • examples/disaggregated/slurm/simple_example/gen_extra-llm-api-config.yaml
  • tests/scripts/perf-sanity/disaggregated/h200_nemotron-super-fp8_8k1k_con64_ctx1_tp2_gen1_tp2_eplb0_mtp0_ccb-UCX.yaml
  • tests/scripts/perf-sanity/aggregated/dynamo_k25_thinking_fp4_blackwell.yaml
  • tensorrt_llm/_torch/models/modeling_utils.py
  • examples/dwdp/reproduce.py
  • tests/scripts/perf-sanity/aggregated/dynamo_deepseek_v32_fp4_2_nodes_grace_blackwell.yaml
  • tests/unittest/_torch/executor/test_kv_cache_transceiver_creation.py
  • tests/integration/defs/accuracy/test_disaggregated_serving.py
  • tensorrt_llm/llmapi/llm_utils.py
  • tests/integration/defs/accuracy/test_dwdp_disaggregated_serving.py
  • tensorrt_llm/llmapi/llm_args.py

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nv-xtf commented Aug 27, 2026

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/bot run --disable-fail-fast

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PR_Github #69739 [ run ] triggered by Bot. Commit: 4b225e2 Link to invocation

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PR_Github #69739 [ run ] completed with state SUCCESS. Commit: 4b225e2
/LLM/main/L0_MergeRequest_PR pipeline #57037 completed with status: 'FAILURE'

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⚠️ Action Required:

  • Please check the failed tests and fix your PR
  • If you cannot view the failures, ask the CI triggerer to share details
  • Once fixed, request an NVIDIA team member to trigger CI again

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nv-xtf commented Aug 28, 2026

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/bot run --disable-fail-fast

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PR_Github #69833 [ run ] triggered by Bot. Commit: 4b225e2 Link to invocation

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PR_Github #69833 [ run ] completed with state SUCCESS. Commit: 4b225e2
/LLM/main/L0_MergeRequest_PR pipeline #57126 completed with status: 'SUCCESS'

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nv-xtf merged commit 4107854 into NVIDIA:main Aug 28, 2026
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api-compatible Accepted LLM API contract change that is backwards-compatible ci: full pre-merge approved

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