feat(domino): add Qwen3.5-4B managed-local NPU disaggregated recipe

[curnane-lab]

Motivation

Add a Qwen3.5-4B Domino recipe for the managed-local disaggregated stack on Ascend NPU, mirroring the DFlash recipe from #722.

Modifications

• examples/configs/qwen3.5-4b-domino-disaggregated-npu.yaml: single-node managed-local recipe (Mooncake + capture server on device 0 + 14-rank trainer on devices 2-15; 8-card fallback in comments). Training params follow the validated Domino NPU recipe (num_anchors: 16, lambda_base_start/decay_ratio: 1, sdpa).
• examples/README.md: register the recipe.
• tests/test_config: golden launch-topology / feature-reachability registration for the new recipe.

Related Issues

Follow-up to #722 (merged): the branch is current main + the recipe commit alone.

Accuracy Test

NA (no model-side code modified)

Benchmark & Profiling

NA

Checklist

• Format your code according to the Code Formatting with Pre-Commit.
• Add unit tests as outlined in the Running Unit Tests.
• Update documentation / docstrings / example tutorials as needed, according to Writing Documentation.
• Provide throughput / latency benchmark results and accuracy evaluation results as needed, according to Benchmark and Profiling and Accuracy Results.
• For reviewers: If you haven't made any contributions to this PR and are only assisting with merging the main branch, please remove yourself as a co-author when merging the PR.
• Please feel free to join our Slack channel at https://sgl-fru7574.slack.com/archives/C09784E3EN6 to discuss your PR.

[gemini-code-assist]

Caution

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