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[Perf] Skip repeated sampling params validation for streaming input#42500

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sherkevin wants to merge 1 commit into
vllm-project:mainfrom
sherkevin:perf/skip-streaming-param-revalidation
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[Perf] Skip repeated sampling params validation for streaming input#42500
sherkevin wants to merge 1 commit into
vllm-project:mainfrom
sherkevin:perf/skip-streaming-param-revalidation

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@sherkevin
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Summary

  • avoid re-running full SamplingParams/PoolingParams validation for streaming input chunks that reuse the request-level sampling params
  • keep validation enabled for explicit per-chunk sampling_params, so changed chunk-level parameters are still checked before being sent to engine core
  • add focused async streaming tests covering both reused request-level params and explicit per-chunk params

Why this is useful

Streaming input sessions can submit many small chunks while reusing the same request-level SamplingParams. The request-level params are already validated when _add_streaming_input_request() creates the final sentinel request. Re-validating those same params for every chunk repeats work in the frontend hot path, including logprob/logit-bias/logits-processor/structured-output checks inside SamplingParams.verify().

This change only skips validation for chunks that omit StreamingInput.sampling_params and therefore reuse the already-validated request-level params. Explicit per-chunk params continue to validate normally.

Duplicate-work check

I checked open PRs before opening this:

No linked issue; this addresses the existing TODO in vllm/v1/engine/async_llm.py.

Tests

  • uvx ruff check vllm/v1/engine/async_llm.py vllm/v1/engine/input_processor.py tests/v1/streaming_input/test_async_llm_streaming.py
  • uvx ruff format --check vllm/v1/engine/async_llm.py vllm/v1/engine/input_processor.py tests/v1/streaming_input/test_async_llm_streaming.py
  • python -m pytest tests/v1/streaming_input/test_async_llm_streaming.py -q

AI assistance

Used OpenAI Codex to inspect the streaming input path, implement the small patch, run duplicate-work searches, and execute the targeted tests.

@sherkevin sherkevin requested a review from njhill as a code owner May 13, 2026 08:01
Copilot AI review requested due to automatic review settings May 13, 2026 08:01
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Claude Code Review

This pull request is from a fork — automated review is disabled. A repository maintainer can comment @claude review to run a one-time review.

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@sherkevin sherkevin force-pushed the perf/skip-streaming-param-revalidation branch from 375496e to 14d95b2 Compare May 13, 2026 08:01
@mergify mergify Bot added the v1 label May 13, 2026
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Code Review

This pull request optimizes the V1 engine's input processing by avoiding redundant validation of sampling parameters when they are reused across streaming input chunks. It introduces a validate_params flag in the process_inputs method and updates the AsyncLLM to skip validation for reused parameters. Additionally, new unit tests were added to verify this behavior. I have no feedback to provide.

Assisted-by: OpenAI Codex

Signed-off-by: shervin <sherkevin@163.com>
@sherkevin sherkevin force-pushed the perf/skip-streaming-param-revalidation branch from 14d95b2 to 0e53500 Compare May 13, 2026 08:04
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Pull request overview

This PR improves the v1 async streaming-input hot path by avoiding repeated SamplingParams/PoolingParams validation for streaming chunks that reuse the already-validated request-level sampling params, while still validating any explicit per-chunk sampling_params. It also adds targeted async tests to ensure the new behavior is enforced.

Changes:

  • Add a validate_params: bool = True flag to InputProcessor.process_inputs() to allow skipping parameter verification when safe.
  • In AsyncLLM._add_streaming_input_request(), skip repeated params validation for chunks that omit StreamingInput.sampling_params (reuse request-level params), but keep validation for explicit per-chunk params.
  • Add focused streaming-input tests asserting correct validate_params behavior for reused vs per-chunk sampling params.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.

File Description
vllm/v1/engine/input_processor.py Adds an opt-out flag to skip _validate_params() when callers know params were already validated.
vllm/v1/engine/async_llm.py Uses the new flag to avoid redundant validation on streaming chunks that reuse request-level params, preserving validation for per-chunk overrides.
tests/v1/streaming_input/test_async_llm_streaming.py Adds async tests that verify validation is skipped only for reused request-level params and remains enabled for explicit per-chunk params.

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@sherkevin
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Closing after re-evaluating the PR against the project contribution policy and the current checks. The remaining failures are gate-related, but the change itself is too small to justify keeping this as a contribution target without stronger evidence/benchmarking.

@sherkevin sherkevin closed this May 14, 2026
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