docs(mocker): clarify mocker image placeholder#8274
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…-runtime The image reference `my-registry/mocker-runtime:my-tag` in the mocker deploy YAMLs implies an image that does not exist on NGC (see DGH-719 / GH #7860 — users hit a 401 trying to pull `nvcr.io/nvidia/ai-dynamo/mocker-runtime:1.0.1`). The mocker component (`python3 -m dynamo.mocker`) is actually bundled into the standard Dynamo backend runtime images (vllm-runtime, sglang-runtime, tensorrtllm-runtime). Change the placeholder to `my-registry/vllm-runtime:my-tag` (matches the default engine-type for mocker) and add a header comment pointing users to the NGC Dynamo runtime images.
Per review, swap the `my-registry/vllm-runtime:my-tag` placeholder for a vendor/engine-neutral `my-dynamo-image:my-tag` so the YAMLs don't bias users toward any one backend runtime. The header NOTE still points at the NGC vllm/sglang/tensorrtllm runtime images.
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WalkthroughUpdated Kubernetes deployment manifests in the mocker backend examples to replace container image references from Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~3 minutes 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
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/ok to test 54cc857 |
Overview:
The image reference
my-registry/mocker-runtime:my-tagin the mocker deploy YAMLs implies an image that does not exist on NGC (see DGH-719 / GH #7860 — users hit a 401 trying to pullnvcr.io/nvidia/ai-dynamo/mocker-runtime:1.0.1). The mocker component (python3 -m dynamo.mocker) is actually bundled into the standard Dynamo backend runtime images (vllm-runtime, sglang-runtime, tensorrtllm-runtime).Change the placeholder to
my-registry/vllm-runtime:my-tag(matches the default engine-type for mocker) and add a header comment pointing users to the NGC Dynamo runtime images.Details:
Where should the reviewer start?
Related Issues: (use one of the action keywords Closes / Fixes / Resolves / Relates to)
Closes #7860
Summary by CodeRabbit
Documentation
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