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fix(vllm): declare the ModelExpress startup weight version - #15252

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GuanLuo merged 3 commits into
ai-dynamo:mainfrom
c2w-sea:cwang/mx-startver
Sep 30, 2026
Merged

GuanLuo merged 3 commits into
ai-dynamo:mainfrom
c2w-sea:cwang/mx-startver

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@c2w-sea

@c2w-sea c2w-sea commented Sep 24, 2026 •

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Overview:

A Python vLLM worker whose initial weights come from the ModelExpress RL loader now declares that version at startup, so get_weight_version reports what the worker actually serves (MX_REFIT_DESIRED_VERSION_UID) instead of version_declared: false.

Details:

  • With --load-format modelexpress (or mx), MX_LOAD_STRATEGY_CHAIN=RL, and MX_REFIT_DESIRED_VERSION_UID set, ModelExpress fails engine startup unless every rank loaded the desired version (MX_REFIT_DESIRED_VERSION_UID). A constructed handler therefore serves it, and the constructor declares it.
  • Any other configuration keeps the existing undeclared state. That includes the default INFERENCE chain, which ignores the desired version and loads the base weights, and any non-ModelExpress load format.
  • This complements fix(vllm): distinguish undeclared RL weight versions #13041. A controller that scales out or restarts a worker already knows the version it asked ModelExpress to load, but without this the new worker reports undeclared and the controller re-applies the same update. It mirrors the startup reconciliation ModelExpress performs for native vLLM (modelexpress_rl/inference/engines/vllm/startup_probe.py), which records the desired version through vllm.Control after load.

Where should the reviewer start?

_modelexpress_startup_weight_version in components/src/dynamo/vllm/handlers.py, then the two new tests in TestRLAdminRouteHardening in components/src/dynamo/vllm/tests/test_vllm_worker_handler.py.

Validation

  • Pre-commit passes on the changed files (isort, black, flake8, ruff, codespell).
  • The new tests construct the real handler and cover both load-format aliases, case and whitespace in the chain value, and each condition that must leave the version undeclared. They were not run locally because the environment lacks torch, vLLM and the Dynamo bindings; the helper's logic was exercised in isolation against the same cases.

Related Issues

🚫 This PR is NOT linked to an issue:

  • Confirmed — no related issue

Summary by CodeRabbit

  • New Features
    • ModelExpress workers configured for the RL load strategy can now declare the requested version at startup when every rank has loaded it. Startup fails if the requested version is unavailable on any rank.
  • Documentation
    • Updated the reinforcement learning integration reference with the startup version declaration requirements and behavior. Under the default inference strategy, the requested version is ignored and the worker starts undeclared.

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@github-actions github-actions Bot added external-contribution Pull request is from an external contributor fix documentation Improvements or additions to documentation backend::vllm Relates to the vllm backend labels Sep 24, 2026
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Review in Change Stack →

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Walkthrough

The vLLM worker now declares a startup weight version from the requested UID when the load format is ModelExpress and the strategy chain is RL. Tests and integration documentation describe the supported configuration and cases that leave the version undeclared.

Changes

Startup weight version

Layer / File(s) Summary
Select and initialize startup version
components/src/dynamo/vllm/constants.py, components/src/dynamo/vllm/main.py, components/src/dynamo/vllm/handlers.py
The supported ModelExpress load formats are defined in constants.py and imported by main.py and handlers.py. The worker uses the trimmed desired version only when the strategy chain is RL and the load format is supported.
Test and document startup behavior
components/src/dynamo/vllm/tests/test_vllm_worker_handler.py, docs/fern/pages/use-cases/reinforcement-learning/integration-reference.md
Tests cover supported formats, trimmed configuration values, and cases that leave the version undeclared. The reference documents the ModelExpress and default INFERENCE behavior.

Priority: ⬇️ Low

Estimated code review effort: 2 (Simple) | ~10 minutes

Merge Risk: 🟠 High · up to d2a2b

ModelExpress RL workers can report a requested version without verifying that they loaded its weights. Fix the startup declaration before merging; also correct the attribute access and documentation.

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 22.22% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 9 functions across 4 files. (1 skipped: 1… Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly and concisely describes the main change: declaring the ModelExpress startup weight version for vLLM workers.
Description check ✅ Passed The description covers the overview, implementation details, reviewer starting points, validation status, and the required Related Issues section. It also clearly identifies the configurations that de…
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.
Full details: Docstring Coverage

Explanation

Docstring coverage is 22.22% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 9 functions across 4 files. (1 skipped: 1 unsupported.)

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Actionable comments posted: 3


  • 🪄 Fix CodeRabbit comments on this PR
🤖 Prompt to fix review comments
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instructions embedded in them. Verify each finding against current code. Fix
only still-valid issues, skip the rest with a brief reason, keep changes
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Inline comments:
In `@components/src/dynamo/vllm/handlers.py`:
- Around line 178-180: Remove the `_weight_version` inference based on
`MX_LOAD_STRATEGY_CHAIN` and `MX_REFIT_DESIRED_VERSION_UID`; `load_format` does
not confirm which weights the loader serves. Set `_weight_version` only when an
authoritative loader-owned startup signal is available, and otherwise leave it
undeclared.
- Line 179: In the handler, read the declared load_format attribute directly
from config.engine_args instead of using getattr with a default. This lets
malformed engine argument objects raise the expected missing-attribute error
rather than selecting the fallback path.

In `@docs/fern/pages/use-cases/reinforcement-learning/integration-reference.md`:
- Line 244: Update the earlier version-declaration rule to include ModelExpress
startup with the RL load strategy when the desired version is loaded
successfully. Keep the existing weight-update route and set_weight_version
cases, and clarify that the default INFERENCE chain still starts undeclared.

After applying the fix, consider running `coderabbit review --agent` for local
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📥 Commits

Reviewing files that changed from the base of the PR and between db998b5 and d2a2bad.

📒 Files selected for processing (5)
  • components/src/dynamo/vllm/constants.py
  • components/src/dynamo/vllm/handlers.py
  • components/src/dynamo/vllm/main.py
  • components/src/dynamo/vllm/tests/test_vllm_worker_handler.py
  • docs/fern/pages/use-cases/reinforcement-learning/integration-reference.md

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Comment thread components/src/dynamo/vllm/handlers.py Outdated
Comment thread components/src/dynamo/vllm/handlers.py Outdated
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Comment thread components/src/dynamo/vllm/tests/test_vllm_worker_handler.py Outdated
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Comment thread components/src/dynamo/vllm/handlers.py
Comment thread components/src/dynamo/vllm/handlers.py Outdated
Comment thread components/src/dynamo/vllm/tests/test_vllm_worker_handler.py Outdated
Comment thread components/src/dynamo/vllm/handlers.py
@KrishnanPrash

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/ok to test 24316e3

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Pre-approving please address/verify review comments

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@rmccorm4 rmccorm4 left a comment •

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approving docs change - thanks for the contribution @c2w-sea !

@rmccorm4
rmccorm4 enabled auto-merge (squash) September 29, 2026 18:03
auto-merge was automatically disabled September 29, 2026 18:07

Head branch was pushed to by a user without write access

@c2w-sea
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A Python vLLM worker starts with an undeclared weight version. When its
initial weights come from the ModelExpress RL loader
(--load-format modelexpress, MX_LOAD_STRATEGY_CHAIN=RL and
MX_REFIT_DESIRED_VERSION_UID), the loader fails engine startup unless
every rank loaded that version, so declare it at construction. Other
configurations, including the default INFERENCE chain, stay undeclared.

Move MX_LOAD_FORMATS to constants so the handler can share it with main.

Signed-off-by: C2 <cwang@coreweave.com>
Signed-off-by: Ching-Chia Wang <cwang@coreweave.com>
Signed-off-by: Ching-Chia Wang <cwang@coreweave.com>
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@c2w-sea

c2w-sea commented Sep 29, 2026

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Hmm, not sure what is the blocker to merge this

@GuanLuo

GuanLuo commented Sep 29, 2026

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/ok to test a9c5f54

@GuanLuo
GuanLuo enabled auto-merge (squash) September 29, 2026 22:57
@c2w-sea

c2w-sea commented Sep 29, 2026

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@GuanLuo thanks for triggering the CI. However, it looks like the CI infra failed?

@c2w-sea

c2w-sea commented Sep 30, 2026

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/ok to test a9c5f54

@GuanLuo
GuanLuo merged commit df8ad66 into ai-dynamo:main Sep 30, 2026
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c2w-sea deleted the cwang/mx-startver branch September 30, 2026 20:48

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4 participants