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[https://nvbugs/5726066][fix] fix auto-scaling related failures - #9845

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reasonsolo:bug5726066
Dec 18, 2025
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[https://nvbugs/5726066][fix] fix auto-scaling related failures#9845
pcastonguay merged 25 commits into
NVIDIA:mainfrom
reasonsolo:bug5726066

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@reasonsolo reasonsolo commented Dec 9, 2025

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All tests in test_auto_scaling.py are still flaky. Run them in CI and collect logs directly to debug.

Root cause:

  1. Tinyllama doesn't exist in llm-models, HF traffic limit makes all tests flaky.
  2. In test_disagg_server_restart, disagg port is not released immediately after terminating server.

Summary by CodeRabbit

  • Bug Fixes

    • Improved error handling and recovery for distributed cluster storage operations with automatic reconnection on failures.
    • Added validation to ensure worker monitoring is properly initialized during auto-scaling operations.
  • Tests

    • Enhanced test infrastructure flexibility for auto-scaling testing with optional logging control.
    • Removed obsolete test waivers from integration test suite.

✏️ Tip: You can customize this high-level summary in your review settings.

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@reasonsolo
reasonsolo force-pushed the bug5726066 branch 2 times, most recently from c50efe8 to 83464b7 Compare December 9, 2025 13:37
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reasonsolo marked this pull request as ready for review December 9, 2025 13:39
@reasonsolo reasonsolo changed the title [http://nvbugs/5726066][fix] debugging etcd related failures [https://nvbugs/5726066][fix] debugging etcd related failures Dec 9, 2025
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PR_Github #27507 [ run ] triggered by Bot. Commit: 83464b7

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📝 Walkthrough

Walkthrough

This change refactors error handling in cluster storage via a decorator pattern, adds watch initialization validation, introduces logging flexibility to integration tests, and removes previously-waived tests from the exception list.

Changes

Cohort / File(s) Summary
Error handling refactoring in cluster storage
tensorrt_llm/serve/cluster_storage.py
Introduced handle_etcd_error(return_on_error) decorator factory for centralized etcd3 exception handling with automatic reconnect on ValueError. Refactored __init__ to parse and store host and port separately. Updated set, get, delete, expire, get_prefix, and watch methods to use decorator-driven error handling instead of internal try/except blocks. Added public reconnect() method to re-establish etcd3 client connection.
Watch validation
tensorrt_llm/serve/disagg_auto_scaling.py
Added assertion to verify watch handle is not None after initialization, raising "failed to watch workers" on null.
Test logging and cleanup improvements
tests/integration/defs/disaggregated/test_auto_scaling.py
Extended _run_worker and run_disagg_server signatures with optional save_log parameter (default False). Updated functions to conditionally write logs to file or stdout/stderr based on save_log flag. Added traceback printing to error handling in service discovery cleanup.
Test waive list updates
tests/integration/test_lists/waives.txt
Removed two previously-waived test entries: disaggregated/test_auto_scaling.py::test_worker_restart[etcd-load_balancing] and disaggregated/test_auto_scaling.py::test_disagg_server_restart[etcd-round_robin].

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~25–30 minutes

  • Decorator implementation and validation: Verify handle_etcd_error correctly handles exception types, reconnect logic, and return values for each decorated method
  • Return value consistency: Confirm that set, get, delete, expire, get_prefix, and watch each return the correct types when decorated with their respective return_on_error values
  • Test parameter changes: Validate that save_log parameter defaults and conditional logging paths do not introduce unintended side effects
  • Watch assertion placement: Ensure the new null-check does not mask or hide upstream initialization failures

Pre-merge checks and finishing touches

❌ Failed checks (3 warnings)
Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
Description check ⚠️ Warning PR description fails to complete required sections. Title placeholder uses template syntax instead of actual title/ticket. Description, Test Coverage sections are empty. Checklist is minimally filled. Provide actual PR title with ticket/issue format, fill Description section explaining the issue and solution, specify Test Coverage with relevant test names, and complete the PR Checklist appropriately.
Title check ⚠️ Warning The PR title references fixing auto-scaling failures, but the actual changes focus on error handling in etcd cluster storage, reconnection logic, and test logging configuration—not auto-scaling itself. Update the title to better reflect the main changes, such as: '[fix] Add etcd error handling decorator and reconnect logic' or '[fix] Improve etcd resilience and test logging for auto-scaling tests'.
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Actionable comments posted: 5

🧹 Nitpick comments (2)
tensorrt_llm/serve/disagg_auto_scaling.py (1)

101-109: Prefer explicit error handling over assert for watch handle, and mirror the check for the second watch() call

The new assertion gives a much clearer failure mode when watch() returns None, but:

  • assert is removed when Python is run with optimizations (python -O), so this safety net can silently disappear.
  • The second watch() call (Line 124) is still unchecked and can also return None, which would surface later as a less clear runtime error when calling .drain().

Consider something along these lines to keep behavior explicit and symmetric:

-        self._watch_handle = await self._cluster_storage.watch(
-            self.worker_key_prefix)
-
-        assert self._watch_handle is not None, "failed to watch workers"
+        self._watch_handle = await self._cluster_storage.watch(
+            self.worker_key_prefix)
+        if self._watch_handle is None:
+            raise RuntimeError("failed to watch workers (initial watch)")

        if get_existing_first:
            ...
-            await self._watch_handle.add_events(events)
+            await self._watch_handle.add_events(events)

-        self._watch_handle = await self._cluster_storage.watch(
-            self.worker_key_prefix)
+        self._watch_handle = await self._cluster_storage.watch(
+            self.worker_key_prefix)
+        if self._watch_handle is None:
+            raise RuntimeError("failed to watch workers (second watch)")

This keeps the failure path robust regardless of optimization flags and ensures both watch initializations are validated.

Also applies to: 124-125

tensorrt_llm/serve/cluster_storage.py (1)

515-517: Minor: silence unused meta variable to satisfy linters

Static analysis correctly points out that meta is unused here:

data, meta = self.client.get(key)
return data.decode('utf-8') if data else None

To keep the intent clear and quiet the warning:

-        data, meta = self.client.get(key)
+        data, _meta = self.client.get(key)

No behavior change, just linter hygiene.

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📒 Files selected for processing (4)
  • tensorrt_llm/serve/cluster_storage.py (4 hunks)
  • tensorrt_llm/serve/disagg_auto_scaling.py (1 hunks)
  • tests/integration/defs/disaggregated/test_auto_scaling.py (5 hunks)
  • tests/integration/test_lists/waives.txt (0 hunks)
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  • tests/integration/test_lists/waives.txt
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  • tests/integration/defs/disaggregated/test_auto_scaling.py
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tensorrt_llm/serve/cluster_storage.py

515-515: Unpacked variable meta is never used

Prefix it with an underscore or any other dummy variable pattern

(RUF059)


525-525: Avoid specifying long messages outside the exception class

(TRY003)

tests/integration/defs/disaggregated/test_auto_scaling.py

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PR_Github #27507 [ run ] completed with state SUCCESS. Commit: 83464b7
/LLM/main/L0_MergeRequest_PR pipeline #20989 completed with status: 'FAILURE'

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/bot run --disable-fail-fast

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PR_Github #27613 [ run ] triggered by Bot. Commit: e516247

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PR_Github #27781 [ run ] triggered by Bot. Commit: e516247

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PR_Github #27819 [ run ] triggered by Bot. Commit: ba282b1

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/bot run --disable-fail-fast

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PR_Github #27850 [ run ] triggered by Bot. Commit: c0ca2f1

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PR_Github #27937 [ run ] triggered by Bot. Commit: c0ca2f1

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/bot run --stage-list "DGX_H100-2_GPUs-PyTorch-Others-1,DGX_H100-4_GPUs-PyTorch-Others-1"

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PR_Github #27958 [ run ] triggered by Bot. Commit: c0ca2f1

@reasonsolo reasonsolo changed the title [https://nvbugs/5726066][fix] debugging etcd related failures [https://nvbugs/5726066][fix] debugging autoscaling related failures Dec 12, 2025
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PR_Github #27958 [ run ] completed with state SUCCESS. Commit: c0ca2f1
/LLM/main/L0_MergeRequest_PR pipeline #21347 (Partly Tested) completed with status: 'SUCCESS'

EmmaQiaoCh and others added 2 commits December 12, 2025 00:22
Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com>
Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com>
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PR_Github #28822 [ run ] triggered by Bot. Commit: 074b4ba

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PR_Github #28822 [ run ] completed with state SUCCESS. Commit: 074b4ba
/LLM/main/L0_MergeRequest_PR pipeline #22069 completed with status: 'FAILURE'

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PR_Github #28885 [ run ] triggered by Bot. Commit: 074b4ba

Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com>
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PR_Github #28901 [ run ] triggered by Bot. Commit: 6073a03

Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com>
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PR_Github #28919 [ run ] triggered by Bot. Commit: a16261d

@reasonsolo reasonsolo changed the title [https://nvbugs/5726066][fix] debugging autoscaling related failures [https://nvbugs/5726066][fix] fix autoscaling related failures Dec 18, 2025
@reasonsolo reasonsolo changed the title [https://nvbugs/5726066][fix] fix autoscaling related failures [https://nvbugs/5726066][fix] fix auto-scaling related failures Dec 18, 2025
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PR_Github #28919 [ run ] completed with state SUCCESS. Commit: a16261d
/LLM/main/L0_MergeRequest_PR pipeline #22154 completed with status: 'FAILURE'

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PR_Github #29004 [ run ] triggered by Bot. Commit: a16261d

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reasonsolo commented Dec 18, 2025

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@pcastonguay Thanks for retrying. I misunderstood the test config in test_disaggregated.py, all tests in that file use a symbolic link from llama-models-v2/TinyLlama-1.1B-Chat-v1.0 to workspace/TinyLlama/TinyLlama-1.1B-Chat-v1.0. So no need to update them. Looks like test_disaggregated.test_disaggregated_ctxpp2_genpp2[TinyLlama-1.1B-Chat-v1.0] timeouted because of ucx failure. https://prod.blsm.nvidia.com/sw-tensorrt-top-1/job/LLM/job/main/job/L0_MergeRequest_PR/22154/testReport/junit/DGX_H100-4_GPUs-PyTorch-Others-1.disaggregated/test_disaggregated/test_disaggregated_ctxpp2_genpp2_TinyLlama_1_1B_Chat_v1_0_/

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@pcastonguay Thanks for retrying. I misunderstood the test config in test_disaggregated.py, all tests in that file use a symbolic link from llama-models-v2/TinyLlama-1.1B-Chat-v1.0 to workspace/TinyLlama/TinyLlama-1.1B-Chat-v1.0. So no need to update them. Looks like test_disaggregated.test_disaggregated_ctxpp2_genpp2[TinyLlama-1.1B-Chat-v1.0] timeouted because of ucx failure. https://prod.blsm.nvidia.com/sw-tensorrt-top-1/job/LLM/job/main/job/L0_MergeRequest_PR/22154/testReport/junit/DGX_H100-4_GPUs-PyTorch-Others-1.disaggregated/test_disaggregated/test_disaggregated_ctxpp2_genpp2_TinyLlama_1_1B_Chat_v1_0_/

Yeah it's failing due to "address already in use" again. @JunyiXu-nv has an open port to try to fix.

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PR_Github #29004 [ run ] completed with state SUCCESS. Commit: a16261d
/LLM/main/L0_MergeRequest_PR pipeline #22227 completed with status: 'SUCCESS'

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pcastonguay merged commit f02782a into NVIDIA:main Dec 18, 2025
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codego7250 pushed a commit to codego7250/TensorRT-LLM that referenced this pull request Dec 19, 2025
…IA#9845)

Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com>
Co-authored-by: Emma Qiao <qqiao@nvidia.com>
Comment thread tensorrt_llm/serve/cluster_storage.py
lkomali pushed a commit to lkomali/TensorRT-LLM that referenced this pull request Dec 22, 2025
…IA#9845)

Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com>
Co-authored-by: Emma Qiao <qqiao@nvidia.com>
Signed-off-by: lkomali <lkomali@nvidia.com>
JunyiXu-nv pushed a commit to JunyiXu-nv/TensorRT-LLM that referenced this pull request Dec 30, 2025
…IA#9845)

Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com>
Co-authored-by: Emma Qiao <qqiao@nvidia.com>
videodanchik pushed a commit to videodanchik/TensorRT-LLM that referenced this pull request Jan 14, 2026
…IA#9845)

Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com>
Co-authored-by: Emma Qiao <qqiao@nvidia.com>
Signed-off-by: Daniil Kulko <kulkodaniil@gmail.com>
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