---
id: pr-vllm-30519
repo: vllm-project/vllm
pr: 30519
title: '[Misc][Refactor] Add FusedMoERouter object'
author: bnellnm
date: '2026-01-08'
url: https://github.com/vllm-project/vllm/pull/30519
source_category: upstream-code
architectures:
- sm100
tags: []
techniques: []
hardware_features: []
kernel_types: []
languages: []
captured_at: '2026-05-16'
status: merged
merge_sha: e74698c27ad5a66bb0f1b131a9e5582a0fbf00d1
inclusion_reason: defer
changed_paths:
- tests/test_routing_simulator.py
- vllm/model_executor/layers/fused_moe/__init__.py
- vllm/model_executor/layers/fused_moe/fused_moe_method_base.py
- vllm/model_executor/layers/fused_moe/fused_moe_modular_method.py
- vllm/model_executor/layers/fused_moe/fused_moe_router.py
- vllm/model_executor/layers/fused_moe/layer.py
- vllm/model_executor/layers/fused_moe/unquantized_fused_moe_method.py
- vllm/model_executor/layers/quantization/awq_marlin.py
- vllm/model_executor/layers/quantization/bitsandbytes.py
- vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe.py
- vllm/model_executor/layers/quantization/experts_int8.py
- vllm/model_executor/layers/quantization/fp8.py
- vllm/model_executor/layers/quantization/gguf.py
- vllm/model_executor/layers/quantization/gptq_marlin.py
- vllm/model_executor/layers/quantization/ipex_quant.py
- vllm/model_executor/layers/quantization/modelopt.py
- vllm/model_executor/layers/quantization/moe_wna16.py
- vllm/model_executor/layers/quantization/mxfp4.py
- vllm/model_executor/layers/quantization/quark/quark_moe.py
- vllm/model_executor/layers/quantization/rtn.py
artifact_dir: evidence/pull-bundles/vllm/gh-30519
head_ref_oid: a3deb6233dd3dfb0b915504d76a25a7367ad95b3
---
# [Misc][Refactor] Add FusedMoERouter object

- Repository: `vllm-project/vllm`
- PR: [30519](https://github.com/vllm-project/vllm/pull/30519)
- Decision: `defer`
- Reason: defer

## Changed Paths

- `tests/test_routing_simulator.py`
- `vllm/model_executor/layers/fused_moe/__init__.py`
- `vllm/model_executor/layers/fused_moe/fused_moe_method_base.py`
- `vllm/model_executor/layers/fused_moe/fused_moe_modular_method.py`
- `vllm/model_executor/layers/fused_moe/fused_moe_router.py`
- `vllm/model_executor/layers/fused_moe/layer.py`
- `vllm/model_executor/layers/fused_moe/unquantized_fused_moe_method.py`
- `vllm/model_executor/layers/quantization/awq_marlin.py`
- `vllm/model_executor/layers/quantization/bitsandbytes.py`
- `vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe.py`
- `vllm/model_executor/layers/quantization/experts_int8.py`
- `vllm/model_executor/layers/quantization/fp8.py`
- `vllm/model_executor/layers/quantization/gguf.py`
- `vllm/model_executor/layers/quantization/gptq_marlin.py`
- `vllm/model_executor/layers/quantization/ipex_quant.py`
- `vllm/model_executor/layers/quantization/modelopt.py`
- `vllm/model_executor/layers/quantization/moe_wna16.py`
- `vllm/model_executor/layers/quantization/mxfp4.py`
- `vllm/model_executor/layers/quantization/quark/quark_moe.py`
- `vllm/model_executor/layers/quantization/rtn.py`

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-30519`
