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[None][chore] Enable multiple postprocess workers tests for chat completions api by JunyiXu-nv · Pull Request #7602 · NVIDIA/TensorRT-LLM · GitHub
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@JunyiXu-nv JunyiXu-nv commented Sep 8, 2025

Summary by CodeRabbit

  • Tests
    • Expanded test coverage to run scenarios with post-processing workers both disabled and enabled.
    • Parameterized test runs across multiple worker counts to validate behavior under different concurrency settings.
    • Improves reliability and confidence by ensuring consistent results across configurations.

Description

This PR is enabling multiple post process workers tests for chat harmony.

Test Coverage

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Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com>
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/bot run

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coderabbitai bot commented Sep 8, 2025

📝 Walkthrough

Walkthrough

Adds a module-scoped, parameterized pytest fixture to vary post-processing worker counts (0 and 2) and wires it into the OpenAI Harmony test server fixture, passing a corresponding CLI arg array to RemoteOpenAIServer. The server fixture signature is updated to accept the new parameter.

Changes

Cohort / File(s) Summary of changes
Tests: Harmony server post-process worker parametrization
tests/unittest/llmapi/apps/_test_openai_chat_harmony.py
Added module-scoped num_postprocess_workers fixture (params: 0, 2; ids: disable_processpool, enable_processpool). Updated server(model, num_postprocess_workers) fixture to include worker count via CLI args when constructing RemoteOpenAIServer to run tests under both configurations.

Sequence Diagram(s)

sequenceDiagram
  autonumber
  participant PyTest as pytest
  participant NumPP as num_postprocess_workers fixture
  participant ServerFix as server fixture
  participant Remote as RemoteOpenAIServer

  PyTest->>NumPP: Resolve parameter (0 or 2)
  NumPP-->>ServerFix: Provide num_postprocess_workers
  ServerFix->>ServerFix: Build CLI args with worker count
  ServerFix->>Remote: Instantiate with args
  Remote-->>ServerFix: Server ready
  ServerFix-->>PyTest: Yield server for tests
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Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

Suggested reviewers

  • leslie-fang25
  • tongyuantongyu
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Actionable comments posted: 0

Caution

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

⚠️ Outside diff range comments (2)
tests/unittest/llmapi/apps/_test_openai_chat_harmony.py (2)

1-1: Add the required NVIDIA Apache-2.0 header (2025)

Repository guideline requires the header on all .py files.

+# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import json

210-211: PEP 585 generics break Python 3.8 support

list[str] requires 3.9+. The repo targets 3.8+, so use typing.List[str].

+from typing import List
@@
-    reasoning_chunks: list[str] = []
-    tool_arg_chunks: list[str] = []
+    reasoning_chunks: List[str] = []
+    tool_arg_chunks: List[str] = []
🧹 Nitpick comments (2)
tests/unittest/llmapi/apps/_test_openai_chat_harmony.py (2)

17-21: Nice param sweep for post-process workers; consider clearer IDs

IDs that include the numeric value make CI triage easier.

-@pytest.fixture(scope="module",
-                params=[0, 2],
-                ids=["disable_processpool", "enable_processpool"])
+@pytest.fixture(scope="module",
+                params=[0, 2],
+                ids=["workers_0_disable", "workers_2_enable"])
 def num_postprocess_workers(request):
     return request.param

7-7: Prefer module-namespace imports per guidelines

Keep class access via module to avoid direct class imports.

-from .openai_server import RemoteOpenAIServer
+from . import openai_server
@@
-    with RemoteOpenAIServer(model_path, args) as remote_server:
+    with openai_server.RemoteOpenAIServer(model_path, args) as remote_server:
@@
-def client(server: RemoteOpenAIServer):
+def client(server: openai_server.RemoteOpenAIServer):

Also applies to: 28-28, 33-33

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  • tests/unittest/llmapi/apps/_test_openai_chat_harmony.py (1 hunks)
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🔇 Additional comments (1)
tests/unittest/llmapi/apps/_test_openai_chat_harmony.py (1)

25-29: Verify --num_postprocess_workers flag acceptance and semantics
Ensure the production server CLI actually defines --num_postprocess_workers and that passing 0 disables the post‐process worker pool rather than selecting an “auto” or invalid value.

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PR_Github #17987 [ run ] triggered by Bot

@JunyiXu-nv JunyiXu-nv requested a review from LinPoly September 8, 2025 06:31
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PR_Github #17987 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #13481 completed with status: 'FAILURE'

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LGTM

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/bot run --disable-fail-fast

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PR_Github #18273 [ run ] triggered by Bot

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PR_Github #18273 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #13697 completed with status: 'FAILURE'

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/bot run

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PR_Github #18362 [ run ] triggered by Bot

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PR_Github #18362 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #13772 completed with status: 'SUCCESS'

@LinPoly LinPoly merged commit a2c45d8 into NVIDIA:main Sep 15, 2025
7 checks passed
Wong4j pushed a commit to Wong4j/TensorRT-LLM that referenced this pull request Sep 20, 2025
…letions api (NVIDIA#7602)

Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com>
MrGeva pushed a commit to nv-auto-deploy/TensorRT-LLM that referenced this pull request Sep 21, 2025
…letions api (NVIDIA#7602)

Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com>
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