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[None][fix] Add TestServePrefixAwareScheduling base on LMBenchmark/synthetic-multi-round-qa - #13578

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SimengLiu-nv:prefix-aware-tests-fixs
May 2, 2026
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[None][fix] Add TestServePrefixAwareScheduling base on LMBenchmark/synthetic-multi-round-qa#13578
SimengLiu-nv merged 2 commits into
NVIDIA:mainfrom
SimengLiu-nv:prefix-aware-tests-fixs

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@SimengLiu-nv SimengLiu-nv commented Apr 28, 2026

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Summary by CodeRabbit

Release Notes

  • New Features

    • Added prefix-reuse summary caching to optimize scheduling performance and reduce redundant computations.
  • Bug Fixes

    • Fixed draft token fitting calculations to prevent capacity overflow and incorrect token discard behavior.
  • Tests

    • Introduced comprehensive end-to-end integration tests for prefix-aware scheduling across multiple configurations.
    • Added regression tests to validate draft token handling and scheduling robustness.

Description

This is the very first multi-round tests with meaningful prefix reuse.
Aim to catch functional bugs with all config combinations of the
scheduler.

Caught SWA+prefix-aware and python-scheduler bugs during the test
developement.
Add fixes in the PR.

Test Coverage

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)

  • 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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SimengLiu-nv requested a review from a team as a code owner April 28, 2026 22:50
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/bot run --disable-fail-fast

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PR_Github #45993 [ run ] triggered by Bot. Commit: f7d2e05 Link to invocation

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📝 Walkthrough

Walkthrough

This change set introduces prefix-reuse summary caching to the scheduler to avoid redundant KV-cache radix-tree walks, optimizes a C++ trie node-clearing operation to prevent stale cascade-pruning, and adds comprehensive end-to-end and unit tests for prefix-aware scheduling behavior under various configurations.

Changes

Cohort / File(s) Summary
C++ Trie Infrastructure
cpp/include/tensorrt_llm/batch_manager/templatedTrie.h
Optimized Node::clearNode to explicitly detach a child by resetting its mPrevNode before removal, preventing stale cascade-pruning of orphaned nodes referenced elsewhere.
Python Scheduler Implementation
tensorrt_llm/_torch/pyexecutor/scheduler/scheduler.py
Added typed prefix-reuse summary caching keyed by py_request_id and populate lazily during _beneficial_to_skip(), then reused across block-availability computations. Updated method signatures for decrement_reserved_blocks, enough_available_blocks, and prepare_blocks_if_schedulable to accept optional cached_summary. Fixed draft-token method calls and added safety clamping in _fit_draft_tokens to prevent negative capacity calculations.
Integration Test Suite
tests/integration/defs/kv_cache/test_prefix_aware_scheduling.py
New end-to-end test suite for prefix-aware scheduling with trtllm-serve, covering KV-cache sizing/offload, chunked prefill, scheduler policies, and SWA windowing. Includes fixture for pinned LMBenchmark package, server health checks, benchmark subprocess management with deadline enforcement, and log/NaN error verification.
Test Configuration Updates
tests/integration/test_lists/test-db/l0_b200.yml, tests/integration/test_lists/test-db/l0_h100.yml
Added prefix-aware scheduling E2E tests to test suites: one smoke test in l0_b200, and eight parameterized tests across multiple scheduling policies in l0_h100.
Unit Test Improvements
tests/unittest/_torch/executor/test_kvcache_aware_router.py
Strengthened test_block_to_token_conversion to verify that KVCacheManager.probe_prefix_match_length calls analyze_prefix_reuse exactly once.
Unit Test Additions
tests/unittest/_torch/executor/test_py_scheduler.py
Added two regression tests for draft-token fitting/discarding: one verifies zero-draft requests don't interfere with later draft-token requests; another verifies zero-draft batches don't cause discard logic errors under capacity pressure.

Sequence Diagram(s)

sequenceDiagram
    participant Client
    participant Scheduler as PyCapacityScheduler
    participant SummaryCache as Summary Cache<br/>(by request)
    participant BenefitChk as _beneficial_to_skip()
    participant BlkMgr as Block Manager
    participant KVMgr as KV Manager

    Client->>Scheduler: schedule(requests)
    Scheduler->>SummaryCache: create caches for policy run
    
    loop For each request
        Scheduler->>BenefitChk: call with request
        alt Summary not cached
            BenefitChk->>KVMgr: analyze_prefix_reuse (normal)
            KVMgr-->>BenefitChk: PrefixReuseSummary
            BenefitChk->>SummaryCache: store summary
        else Summary cached
            BenefitChk->>SummaryCache: retrieve cached summary
            SummaryCache-->>BenefitChk: PrefixReuseSummary
        end
        
        BenefitChk-->>Scheduler: skip decision
        
        alt Should schedule
            Scheduler->>BlkMgr: enough_available_blocks(req, cached_summary)
            BlkMgr->>SummaryCache: lookup summary
            SummaryCache-->>BlkMgr: PrefixReuseSummary
            BlkMgr-->>Scheduler: boolean result
            
            Scheduler->>BlkMgr: prepare_blocks_if_schedulable(req, cached_summary)
            BlkMgr->>SummaryCache: lookup summary
            SummaryCache-->>BlkMgr: PrefixReuseSummary
            BlkMgr-->>Scheduler: block allocation dict
            
            Scheduler->>BlkMgr: decrement_reserved_blocks(req, cached_summary)
            BlkMgr->>SummaryCache: lookup summary
            SummaryCache-->>BlkMgr: PrefixReuseSummary
        end
    end
    
    Scheduler-->>Client: scheduled requests
Loading

Estimated Code Review Effort

🎯 4 (Complex) | ⏱️ ~50 minutes

🚥 Pre-merge checks | ✅ 2 | ❌ 3

❌ Failed checks (2 warnings, 1 inconclusive)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 69.23% which is insufficient. The required threshold is 80.00%. Write docstrings for the functions missing them to satisfy the coverage threshold.
Description check ⚠️ Warning The PR description is incomplete. While it explains the basic intent (adding multi-round prefix reuse tests), it lacks critical sections required by the template. Complete the PR description by: (1) Adding a proper title in the format [ticket/issue][type] Summary; (2) Expanding the Description section with more detail about what changes were made and why; (3) Filling in the Test Coverage section to list relevant tests that safeguard the changes; (4) Providing a comprehensive PR checklist review as instructed in the template.
Title check ❓ Inconclusive The title mentions adding TestServePrefixAwareScheduling tests but omits critical implementation fixes to templatedTrie.h, scheduler.py and regression tests that are substantial parts of the changeset. Clarify whether the title should focus on test additions alone or include the underlying bug fixes (templatedTrie cascade-pruning fix, scheduler caching optimization, draft-token clamping safety) that were discovered and addressed.
✅ Passed checks (2 passed)
Check name Status Explanation
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.

✏️ Tip: You can configure your own custom pre-merge checks in the settings.

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Actionable comments posted: 4

Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (1)
tests/integration/defs/kv_cache/test_prefix_aware_scheduling.py (1)

622-800: ⚠️ Potential issue | 🟡 Minor

Add this test to the QA scheduled test list per coding guidelines.

Per tests/integration/test_lists/qa/README.md, "all new test cases should be added" to llm_function_core.txt for single-node multi-GPU functional scenarios. The new TestServePrefixAwareScheduling class is a functional E2E test that validates trtllm-serve behavior and should be included in QA scheduled runs. The test-db wiring in l0_h100.yml and l0_b200.yml is correct, but entries must also be added to tests/integration/test_lists/qa/llm_function_core.txt (or other appropriate QA list if multi-node coverage is desired).

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@tests/integration/defs/kv_cache/test_prefix_aware_scheduling.py` around lines
622 - 800, The new TestServePrefixAwareScheduling E2E test class is not listed
in the QA scheduled test list; add an entry for this test to
tests/integration/test_lists/qa/llm_function_core.txt (or another appropriate QA
list for multi-node if intended) so it runs in scheduled QA; specifically
include the test class name TestServePrefixAwareScheduling (or its fully
qualified test path if project uses module-style entries) in the
llm_function_core.txt file following the formatting of existing entries.
🧹 Nitpick comments (1)
tests/integration/test_lists/test-db/l0_h100.yml (1)

170-178: Decide whether one representative case belongs in scheduled QA.

These entries cover pre-merge, but the diff does not mirror the new prefix-aware test into tests/integration/test_lists/qa/. If this is intended as ongoing release coverage for core serving behavior, add one representative case there; otherwise QA list updates are optional.

As per coding guidelines, "If the change adds or materially alters an integration test under tests/integration/defs/ (or otherwise affects what QA should run on a schedule), call out whether an entry is needed under tests/integration/test_lists/qa/."

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@tests/integration/test_lists/test-db/l0_h100.yml` around lines 170 - 178,
Decide whether this new prefix-aware scheduling E2E test should be run on the
scheduled QA list; if it is intended as ongoing release coverage for core
serving behavior, add one representative case from
kv_cache/test_prefix_aware_scheduling.py (for example
TestServePrefixAwareScheduling::test_multi_round_qa_shared_prefix or one
specific parametrized variant like [guaranteed-chunked]) into
tests/integration/test_lists/qa/ so scheduled QA mirrors the pre-merge list; if
it is not intended for scheduled QA, leave the QA list unchanged and document
that the tests are pre-merge only.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@tensorrt_llm/_torch/pyexecutor/scheduler/scheduler.py`:
- Around line 824-832: The code currently charges the full chunk slack
(remaining_space) to num_ctx_tokens even when the request has fewer draft
tokens, over-consuming capacity; fix by charging only the number of draft tokens
actually kept: compute kept_drafts = min(req.num_draft_tokens, remaining_space)
(ensure kept_drafts >= 0), then do num_ctx_tokens += kept_drafts and set
draft_discard = req.num_draft_tokens - kept_drafts (clamped to >=0). Update the
block that references remaining_space, num_ctx_tokens, req.num_draft_tokens, and
draft_discard to use kept_drafts instead of adding remaining_space directly.

In `@tests/integration/defs/kv_cache/test_prefix_aware_scheduling.py`:
- Around line 514-515: The test helper _parse_csv_metrics() currently returns
None when all parsed TTFTs (ttfts) are invalid, which causes
_run_and_assert_stage() to report "no completed requests" incorrectly; update
_parse_csv_metrics() so that if ttfts is empty or all values are
NaN/Inf/unparseable it returns a metrics dict (not None) containing at least
num_requests (total CSV rows processed) and nan_count (count of invalid TTFT
rows) along with any other metrics, so failures point to corrupted latency
output; make the same change in the other identical block handling ttfts (the
second occurrence referenced in the comment) to ensure both code paths return a
metrics dict rather than None.
- Around line 424-431: The try/except around the health poll is too broad and
masks unrelated errors; replace the bare "except Exception:" that wraps the
req_lib.get(...) call with "except RequestException:" (the tests already import
RequestException from requests.exceptions) so only request-layer failures are
swallowed and other bugs in the health-check/watchdog path (e.g., failures
setting last_health_ok) will surface; keep the existing timeout and the logic
that sets last_health_ok unchanged.
- Around line 308-312: The benchmark harness must consistently resolve and run
the installed LMBenchmark using the virtualenv created by the llm_venv fixture:
change _resolve_lmbenchmark_script/fixture behavior so it returns both the
resolved LMBENCHMARK_SCRIPT path and the venv Python interpreter (or have the
fixture launch the benchmark directly), and ensure subprocess.Popen is invoked
with that returned venv interpreter instead of sys.executable (references:
llm_venv, _resolve_lmbenchmark_script, LMBENCHMARK_SCRIPT, script_dir, cmd,
subprocess.Popen). Also tighten exception handling: replace the broad "except
Exception:" around the /health check with "except RequestException:"
(RequestException is already imported) and narrow the watchdog loop catch from
Exception to specific subprocess-related exceptions such as
subprocess.SubprocessError, OSError, and TimeoutError to avoid masking
pytest/test-control errors (references: the /health check block and the watchdog
loop that manages proc.poll/communicate).

---

Outside diff comments:
In `@tests/integration/defs/kv_cache/test_prefix_aware_scheduling.py`:
- Around line 622-800: The new TestServePrefixAwareScheduling E2E test class is
not listed in the QA scheduled test list; add an entry for this test to
tests/integration/test_lists/qa/llm_function_core.txt (or another appropriate QA
list for multi-node if intended) so it runs in scheduled QA; specifically
include the test class name TestServePrefixAwareScheduling (or its fully
qualified test path if project uses module-style entries) in the
llm_function_core.txt file following the formatting of existing entries.

---

Nitpick comments:
In `@tests/integration/test_lists/test-db/l0_h100.yml`:
- Around line 170-178: Decide whether this new prefix-aware scheduling E2E test
should be run on the scheduled QA list; if it is intended as ongoing release
coverage for core serving behavior, add one representative case from
kv_cache/test_prefix_aware_scheduling.py (for example
TestServePrefixAwareScheduling::test_multi_round_qa_shared_prefix or one
specific parametrized variant like [guaranteed-chunked]) into
tests/integration/test_lists/qa/ so scheduled QA mirrors the pre-merge list; if
it is not intended for scheduled QA, leave the QA list unchanged and document
that the tests are pre-merge only.
🪄 Autofix (Beta)

Fix all unresolved CodeRabbit comments on this PR:

  • Push a commit to this branch (recommended)
  • Create a new PR with the fixes

ℹ️ Review info
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Run ID: 0f12cd49-dc28-4b19-91c1-edcf49f850a9

📥 Commits

Reviewing files that changed from the base of the PR and between b5c41f2 and f7d2e05.

📒 Files selected for processing (7)
  • cpp/include/tensorrt_llm/batch_manager/templatedTrie.h
  • tensorrt_llm/_torch/pyexecutor/scheduler/scheduler.py
  • tests/integration/defs/kv_cache/test_prefix_aware_scheduling.py
  • tests/integration/test_lists/test-db/l0_b200.yml
  • tests/integration/test_lists/test-db/l0_h100.yml
  • tests/unittest/_torch/executor/test_kvcache_aware_router.py
  • tests/unittest/_torch/executor/test_py_scheduler.py

Comment thread tensorrt_llm/_torch/pyexecutor/scheduler/scheduler.py Outdated
Comment thread tests/integration/defs/kv_cache/test_prefix_aware_scheduling.py
Comment thread tests/integration/defs/kv_cache/test_prefix_aware_scheduling.py
Comment thread tests/integration/defs/kv_cache/test_prefix_aware_scheduling.py Outdated
@SimengLiu-nv
SimengLiu-nv requested a review from achartier April 28, 2026 23:06
Comment thread tensorrt_llm/_torch/pyexecutor/scheduler/scheduler.py Outdated
Comment thread tensorrt_llm/_torch/pyexecutor/scheduler/scheduler.py Outdated
@SimengLiu-nv SimengLiu-nv changed the title [None][tests] Add TestServePrefixAwareScheduling base on LMBenchmark/synthetic-multi-round-qa [None][fix] Add TestServePrefixAwareScheduling base on LMBenchmark/synthetic-multi-round-qa Apr 28, 2026
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PR_Github #45993 [ run ] completed with state ABORTED. Commit: f7d2e05

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SimengLiu-nv force-pushed the prefix-aware-tests-fixs branch from f7d2e05 to d6e8f78 Compare April 30, 2026 21:29
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/bot run --disable-fail-fast

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PR_Github #46442 [ run ] triggered by Bot. Commit: d6e8f78 Link to invocation

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PR_Github #46442 [ run ] completed with state ABORTED. Commit: d6e8f78

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PR_Github #46442 [ run ] completed with state ABORTED. Commit: d6e8f78

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Main failure buckets:

FlashInfer / MoE dependency mismatch

Affects B300/B200 PyTorch MoE tests and layer-wise benchmark paths.
Representative error:
ImportError: cannot import name 'RoutingMethodType' from 'flashinfer.fused_moe.core'
This points to a CI image/package mismatch in flashinfer, not the PR scheduler/test changes.
Missing model cache / model mount on H100 stages

Many H100 failures fail while resolving absolute paths like:
/scratch.trt_llm_data/llm-models/llama-3.1-model/Llama-3.1-8B-Instruct-FP8
The path appears missing in the test environment, so HuggingFace treats it as a repo id and raises:
HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name'
This cascades into trtllm-serve startup failures, disaggregated-serving failures, executor-worker errors, and subprocess exit-code failures.
Infrastructure failures

DGX_B300-4_GPUs-PyTorch-1: Infra/SSH permission denied, no failed tests.
Several H100 single-GPU stages are marked Infra/Timeout.
Two H100 multi-GPU stages are UNKNOWN, likely fallout from the aborted build.
Waived perf regression

GB200 perf sanity reports a regression, but it is waived and not a blocking unwaived test failure.

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/bot run --disable-fail-fast

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SimengLiu-nv requested a review from tburt-nv May 1, 2026 23:39
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@tburt-nv kv_cache/test_prefix_aware_scheduling.py::TestServePrefixAwareScheduling::test_multi_round_qa_shared_prefix_smoke passed on B200.
No results from H100.

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The ensure_lmbenchmark fixture looks OK to me, although I'll defer to @NVIDIA/trt-llm-qa regarding the test list changes and the rest of the test code. Unfortunately the new H100 tests didn't run in the latest pipeline due to a timeout, so I've retriggered the pipeline. It should skip the tests that already passed.

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PR_Github #46530 [ run ] triggered by Bot. Commit: d6e8f78 Link to invocation

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PR_Github #46530 [ run ] completed with state SUCCESS. Commit: d6e8f78
/LLM/main/L0_MergeRequest_PR pipeline #36589 completed with status: 'FAILURE'

CI Report

⚠️ 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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The ensure_lmbenchmark fixture looks OK to me, although I'll defer to @NVIDIA/trt-llm-qa regarding the test list changes and the rest of the test code. Unfortunately the new H100 tests didn't run in the latest pipeline due to a timeout, so I've retriggered the pipeline. It should skip the tests that already passed.

@tburt-nv They all passes in the new CI. The rest of the failures are unrelated to the code change. I think the PR is safe to merge now.

For the report:
None of the four root causes above touch files modified by this PR. The failures are pre-existing environment regressions (flashinfer API change, huggingface_hub validation tightening) present on the base branch. The PR's own new tests (prefix-aware scheduling, scheduler regression tests) do not appear in the failing stages.

@schetlur-nv Would you like to review this PR on behalf of @NVIDIA/trt-llm-qa ? Chinese coworkers are in vacation.

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SimengLiu-nv requested a review from schetlur-nv May 2, 2026 17:36
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/bot skip --comment "CI failures are unrelated. Newly added tests all passed."

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SimengLiu-nv enabled auto-merge (squash) May 2, 2026 17:39
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PR_Github #46564 [ skip ] triggered by Bot. Commit: d6e8f78 Link to invocation

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PR_Github #46564 [ skip ] completed with state SUCCESS. Commit: d6e8f78
Skipping testing for commit d6e8f78

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@SimengLiu-nv
SimengLiu-nv disabled auto-merge May 2, 2026 18:14
…synthetic-multi-round-qa

This is the very first multi-round tests with meaningful prefix reuse.
Aim to catch functional bugs with all config combinations of the
scheduler.

Caught SWA+prefix-aware and python-scheduler bugs during the test
developement.
Add fixes in the PR.

Signed-off-by: Simeng Liu <simengl@nvidia.com>
Signed-off-by: Simeng Liu <simengl@nvidia.com>
@SimengLiu-nv
SimengLiu-nv force-pushed the prefix-aware-tests-fixs branch from d6e8f78 to ccb8318 Compare May 2, 2026 20:16
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/bot skip --comment "Rebase only"

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PR_Github #46569 [ skip ] triggered by Bot. Commit: ccb8318 Link to invocation

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SimengLiu-nv enabled auto-merge (squash) May 2, 2026 20:24
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PR_Github #46569 [ skip ] completed with state SUCCESS. Commit: ccb8318
Skipping testing for commit ccb8318

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SimengLiu-nv merged commit 8cd0ba6 into NVIDIA:main May 2, 2026
7 checks passed
SimengLiu-nv added a commit to SimengLiu-nv/TensorRT-LLM that referenced this pull request May 6, 2026
Signed-off-by: Simeng Liu <simengl@nvidia.com>
yufeiwu-nv pushed a commit to yufeiwu-nv/TensorRT-LLM that referenced this pull request May 19, 2026
…nthetic-multi-round-qa (NVIDIA#13578)

Signed-off-by: Simeng Liu <simengl@nvidia.com>
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