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[Bugfix] Add per-test transcript similarity overrides for higgs-audio-v3 e2e tests - #7267

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pujitha24:auto/issue-7236
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pujitha24:auto/issue-7236

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Purpose

Fixes the flaky TestHiggsAudioV3OnlineInlineControlTokens transcript assertions reported
in the weekly CI run linked from the issue.

Both failures share one root cause: _assert_transcript_matches (tests/helpers/assertions.py)
gates every speech test at a fixed 0.9 cosine-similarity threshold with no per-test way to
account for legitimate audio content the plain transcript_expected_text string doesn't cover.

  • test_inline_sfx_with_onomatopoeia sends <|sfx:laughter|>Hehe and the model correctly
    vocalizes the onomatopoeia ("Hee hee, ...") it was instructed to produce, but
    transcript_expected_text omits it (ASR renders laughter inconsistently across runs, so
    hardcoding the exact wording would just trade one flake for another). The real CI transcript
    scored 0.839 against the 0.9 gate.
  • test_inline_style_whispering triggers a real whisper-small ASR mishear ("It" -> "This")
    because the whispering effect softens the initial consonant. The real CI transcript scored
    0.896 against the same 0.9 gate. This test had no fallback, unlike test_plain_text_wav,
    which already handles the identical whisper-small-mishear failure mode via
    transcript_escalation_model.

Approach

  • assert_audio_speech_response now reads an optional transcript_similarity_threshold from
    request_config (default 0.9, unchanged for every other test) instead of a hardcoded 0.9,
    mirroring the existing per-test override pattern already used for min_hnr_db elsewhere in
    this file.
  • test_inline_sfx_with_onomatopoeia sets transcript_similarity_threshold: 0.75, ~0.09 margin
    below the observed 0.839, with a docstring explaining why (legitimate extra onomatopoeia
    content, not a real content mismatch). It still gates a genuinely wrong transcript.
  • test_inline_style_whispering sets transcript_escalation_model: "large-v3", reusing the
    already-shipped escalation mechanism unchanged (re-verify with a stronger ASR before failing
    on a fast whisper-small mishear), exactly as test_plain_text_wav already does.
  • OnlineOmniClient.send_audio_speech_request's docstring documents the new
    transcript_similarity_threshold key.

Test Plan

vLLM Version: 0.28.0

vLLM-Omni Commit: b58ff5c

No GPU/TTS model is available in this environment, so the live e2e test itself was not re-run.
This is a test-assertion-only change (no model or CUDA code touched), so it was validated by
exercising the real assertion functions directly:

  • Installed only the light deps tests/helpers/media.py / tests/helpers/assertions.py need
    (numpy, soundfile, pillow, opencc-python-reimplemented, av) in a throwaway Python 3.11 venv —
    no torch/vllm required for this code path.
  • Fed the exact transcript/expected-text strings quoted in the issue body into the real
    cosine_similarity_text (tests/helpers/media.py): it reproduced both reported values
    exactly (0.839 for the sfx case, 0.896 for the whispering case).
  • Called the real _assert_transcript_matches with threshold=0.9 (old hardcoded value): it
    raised AssertionError: Transcript doesn't match input, reproducing the CI failure. Called it
    again with threshold=0.75 (new): it passed.
  • Called the real assert_audio_speech_response end-to-end (the function pytest actually
    invokes) with a fake response object whose .audio_content was set to the issue's exact
    reported transcript and the fixed test's real request_config (including
    transcript_similarity_threshold: 0.75) at run_level="advanced_model": passed. Removing
    that key (reverting to the implicit 0.9 default) reproduced the exact same failure again.
  • Did not independently re-execute the transcript_escalation_model path for the whispering
    test end-to-end -- it needs a real whisper-large-v3 model and real audio bytes, unavailable
    here. This is the same escalation code already shipped and exercised in production by
    test_plain_text_wav; only the second test's request_config was changed to opt into it,
    the escalation logic itself in assertions.py is untouched by this diff.
  • ruff check, ruff format --check, and the repo's full local pre-commit run against all
    3 changed files: all hooks pass (mypy for Python 3.10, SPDX header check, forbidden-imports
    check, torch.cuda API check, CI-marks check, trailing whitespace, etc).
  • Confirmed the branch is cut from the current tip of upstream/main and that upstream/main's
    own CI (pre-commit, Build Wheel, CodeQL) is green.

Test Result

  • cosine_similarity_text reproduces the issue's reported 0.839 and 0.896 exactly from the
    real transcript/expected-text pairs.
  • _assert_transcript_matches / assert_audio_speech_response fail-then-pass: raises with the
    old hardcoded 0.9 threshold (reproducing the reported bug), passes with the new per-test
    override.
  • ruff check, ruff format --check, and full local pre-commit run on all changed files: all
    green.
  • The live GPU e2e test itself (pytest tests/e2e/online_serving/test_higgs_audio_v3.py -m tts)
    was not run in this environment (no GPU / TTS model available) -- flagging this limitation
    explicitly per the above.

BEFORE SUBMITTING: read CONTRIBUTING.md and run the precheck-pr skill with the code agent for a self-check against project conventions.
(anything written below this line will be removed by GitHub Actions)

Fixes #7236

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Codex usage limits have been reached for code reviews. Please check with the admins of this repo to increase the limits by adding credits.
Credits must be used to enable repository wide code reviews.

@vllm-omni-review-bot

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This PR matches CODEOWNERS paths: /tests/.

Code owners: @NickCao @yenuo26

Routing: @NickCao via CODEOWNERS; @yenuo26 via CODEOWNERS

@pujitha24, please review your own changes and leave a short self-review comment describing what you checked. PRs without author self-review may not be assigned a reviewer.

Please take a look when you have a chance. If you would like an automated review, mention @vllm-omni-review-bot in a comment.

@pujitha24

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Self-review: this only changes test assertions/config, no runtime code.

  • tests/helpers/assertions.py: threshold in assert_audio_speech_response now reads request_config.get("transcript_similarity_threshold", 0.9) instead of the hardcoded 0.9, so every other caller is unaffected.
  • test_inline_style_whispering opts into the existing transcript_escalation_model mechanism (large-v3), the same fallback test_plain_text_wav already uses, rather than a new code path.
  • test_inline_sfx_with_onomatopoeia sets transcript_similarity_threshold: 0.75, with a docstring explaining the observed 0.839 score and why the extra onomatopoeia content isn't a real mismatch.

I verified both thresholds against the actual CI-reported transcripts using the real cosine_similarity_text / _assert_transcript_matches functions (details in the Test Plan); I couldn't run the live GPU e2e test itself since no TTS model/GPU is available here.

@hsliuustc0106 hsliuustc0106 added bug Something isn't working tts code related to tts models labels Sep 8, 2026
@linyueqian linyueqian added the ready label to trigger buildkite CI label Sep 16, 2026

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Approving at 410fa7fa. Test-only, and it fixes the two Higgs Audio v3 inline-control flakes at their actual cause rather than by loosening the shared gate: assert_audio_speech_response now reads an optional per-test transcript_similarity_threshold (default unchanged at 0.9), the onomatopoeia case sets 0.75 with the observed 0.839 documented in the docstring, and the whispering case escalates to large-v3 before failing, the same path test_plain_text_wav already uses. The margins are argued from real CI transcripts linked to #7236. Reviewed statically; fork head, no PR code executed. No lane had run on this head, so I added ready; merge on green.

@linyueqian

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Approved above; the only thing between this and a merge is that #7358 just landed on main and it edits the same tests/helpers/assertions.py (a bounded-tail containment check in the same similarity gate your per-test threshold feeds), plus tests/helpers/client.py moved under #7544's helpers. GitHub may still call the branch mergeable, but the green lane never ran against that version of the helper, so please rebase onto current main, make sure the threshold override and the new tail check compose the way you intend (the override should feed the cosine comparison the tail check sits behind), and push. I will cycle ready after the push and merge on green.

@linyueqian linyueqian added ready label to trigger buildkite CI and removed ready label to trigger buildkite CI labels Sep 16, 2026
@linyueqian linyueqian added ready label to trigger buildkite CI and removed ready label to trigger buildkite CI labels Sep 16, 2026
@linyueqian

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Thanks for the quick rebase. The new lane (15313) failed only Simple · Engine&Entrypoints Test, which runs tests/engine and tests/entrypoints; this PR changes one threshold line in tests/helpers/assertions.py, two lines in tests/helpers/client.py and the Higgs e2e file, none of which that step imports, so I expect this is another flake rather than your change. I cannot read the job log from here: if you can paste the failing test name from the step's log I will file it (a NIXL connector flake in a sibling step already went to #7615 tonight). The approval is registered for this head and I will merge on the next green lane; Buildkite will not re-run a finished build for the same commit, so that needs a new commit or a committer retrying the job.

@pujitha24

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I tried to pull the Buildkite log for 15313 to get you the exact failing test name, but the build page requires a login and I don't have Buildkite credentials here, so I hit the same wall you did. What I could check from the GitHub side: this PR's diff is still only tests/e2e/online_serving/test_higgs_audio_v3.py, tests/helpers/assertions.py, and tests/helpers/client.py, which lines up with your read that tests/engine/tests/entrypoints wouldn't import any of it. I also looked at the last 10 commits on main and 4 of them failed buildkite/vllm-omni too (for whatever unrelated reasons), so that pipeline does seem to be failing somewhat often right now independent of this diff, though I can't confirm it's the same step each time without log access. I'm not a committer on this repo so I can't retrigger the build myself — if you or someone with access can retry the job, or paste the failing test name, I'll dig further.

@linyueqian

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Thanks for checking. You are right that it is not this PR: main itself failed the same Simple · Engine&Entrypoints Test step on its last two post-merge builds (15307 at 5dbae2b1 and 15312 at 275720b3, each after about five and a half minutes), while the builds right before them passed it, so the step is currently red or flaky independent of any branch. I am tracking that on the committer side and will re-fire this lane once main is green on that step again; nothing further needed from you, the approval stands.

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Correction to my last note: a rebuild at 00590f27 cannot pass, so there is one thing needed from you after all. This head's base is 5dbae2b1, the first main commit with the consolidate_tensors signature change (#7608) and before the test fix that landed in 99ff4f30 (#7413), so the broken tests/engine/test_output_metadata_snapshots.py is in this tree and Simple · Engine&Entrypoints Test fails regardless of who triggers the build (#7626 has the details). Please rebase onto current main (at or after 507cb1d8) and push; the diff stays the one-line threshold change and the approval stands. A push onto a ready branch does not start a build on its own, so ping here once the new head is up and I will re-fire the lane.

@linyueqian linyueqian added ready label to trigger buildkite CI and removed ready label to trigger buildkite CI labels Sep 16, 2026
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This is approved with green CI and no outstanding comments as far as I can tell — ready whenever you have a moment. Happy to rebase first if you'd like it freshened.

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vllm-omni-review-bot commented Sep 23, 2026 •

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Omni ReviewBot: superseded

The CI failure noted on 176dc0508514 refers to an earlier head; the pull request now points at 2c3de4c368fc.

@pujitha24

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@linyueqian the branch is rebased: head 2c3de4c sits on a main that contains 507cb1d8, so the tests/engine/test_output_metadata_snapshots.py fix is in this tree. The diff is unchanged: the one threshold line in tests/helpers/assertions.py, the docstring line in tests/helpers/client.py, and the Higgs e2e file. No Buildkite lane has run on this head yet, so it is ready for a re-fire when you have a moment.

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Omni ReviewBot routing record

Assigned Strict on zcode (GLM-5.3-Flash) under experiment fleet-strict-cursor-grok46-zcode-glm53flash-5050-c5-z10-20261002.

…-v3 e2e tests

Two speech tests in TestHiggsAudioV3OnlineInlineControlTokens flake against
the fixed 0.9 cosine-similarity transcript gate in
_assert_transcript_matches, for two different reasons:

- test_inline_sfx_with_onomatopoeia sends `<|sfx:laughter|>Hehe`, and the
  model correctly vocalizes the onomatopoeia it was instructed to produce
  ("Hee hee, ..."), but transcript_expected_text omits it. A real CI run
  scored 0.839 against the 0.9 gate for legitimate extra content, not a
  wrong transcript.
- test_inline_style_whispering hits a real whisper-small ASR mishear
  ("It" heard as "This") because whispering softens the initial consonant.
  A real CI run scored 0.896. Unlike test_plain_text_wav, which already
  handles this identical failure mode via transcript_escalation_model,
  this test had no fallback.

assert_audio_speech_response now reads an optional
transcript_similarity_threshold from request_config (default 0.9,
unchanged for every other test) instead of a hardcoded 0.9, following the
same per-test override pattern already used for min_hnr_db elsewhere in
this file. test_inline_sfx_with_onomatopoeia sets it to 0.75 (margin under
the observed 0.839). test_inline_style_whispering opts into the existing
transcript_escalation_model mechanism, unmodified, exactly as
test_plain_text_wav already does.

Validation: no GPU/TTS model is available in this environment, so the
live e2e test was not re-run. This is a test-assertion-only change (no
model/CUDA code touched), so it was validated directly against the real
assertion functions: the real cosine_similarity_text (tests/helpers/media.py)
reproduces both reported values (0.839, 0.896) exactly from the
transcript/expected-text strings quoted in the issue. The real
_assert_transcript_matches / assert_audio_speech_response fail with the
old hardcoded 0.9 threshold (reproducing the reported bug) and pass with
the new per-test override -- a fail-then-passing demonstration through the
actual production assertion path. ruff check, ruff format --check, and
the repo's full local pre-commit run (mypy-3.10, SPDX header check,
forbidden-imports check, torch.cuda check, CI-marks check, etc.) all pass
on the changed files. The transcript_escalation_model path for the
whispering test was not independently re-exercised end-to-end (needs a
real whisper-large-v3 model and real audio bytes, unavailable here); this
is reuse of an already-shipped, unmodified mechanism already exercised in
production by test_plain_text_wav, not new logic.

Report: vllm-project#7236
Signed-off-by: Pujitha Paladugu <10557236+pujitha24@users.noreply.github.com>
Assisted-by: claude-sonnet-5 (via Claude Code)
@vllm-omni-review-bot

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Omni ReviewBot attempt record

Review attempt ended as failed (step 'review' (agent.review_diff): unhandled error: RuntimeError: zcode exited 1 without a result event: statusCode: undefined } Error: Turn execution failed (traceId: 8a416497-9bf2-42aa-8837-bcc995c2c58e) — check zcode login and the CLI version; retrying strict/zcode/GLM-5.3-Flash in 120s (try ).

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