Qualify scoped MiniCPM-o CPU speech and Windows InternVLA policy paths

tests/model_executor/models/minicpmo_4_5/test_mm_processor_compat.py

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+"""MiniCPM-o processor contract across vLLM 0.28 CPU and 0.29 CUDA."""
+
+from types import SimpleNamespace
+
+import torch
+from transformers.feature_extraction_utils import BatchFeature
+
+from vllm_omni.model_executor.models.minicpmo_4_5.minicpmo_4_5_omni_llm import (
+    MiniCPMO45OmniLLMMultiModalProcessor,
+)
+
+
+class _EmptyItems:
+    def get_all_counts(self):
+        return {}
+
+    def select(self, _keys):
+        return self
+
+
+def _processor():
+    tokenizer = SimpleNamespace(encode=lambda prompt: [len(prompt)])
+    return SimpleNamespace(
+        _get_hf_mm_data=lambda _items: ({}, {}),
+        process_mm_inputs=lambda _data, _kwargs: {},
+        info=SimpleNamespace(get_tokenizer=lambda: tokenizer),
+        dummy_inputs=SimpleNamespace(get_dummy_text=lambda _counts: "dummy"),
+    )
+
+
+def test_vllm_028_contract_tokenizes_prompt_without_hf_multimodal_call():
+    result = MiniCPMO45OmniLLMMultiModalProcessor._apply_hf_processor_main(
+        _processor(),
+        _EmptyItems(),
+        {},
+        prompt="(<audio>./</audio>)",
+        tokenization_kwargs={},
+        enable_hf_prompt_update=False,
+    )
+
+    prompt_ids, mm_data, updated = result
+    assert prompt_ids == [len("(<audio>./</audio>)")]
+    assert isinstance(mm_data, BatchFeature) and not mm_data
+    assert updated is False
+
+
+def test_vllm_029_contract_returns_batch_feature():
+    result = MiniCPMO45OmniLLMMultiModalProcessor._apply_hf_processor_main(
+        _processor(), _EmptyItems(), {}
+    )
+
+    assert isinstance(result, BatchFeature)
+    torch.testing.assert_close(result["input_ids"], torch.tensor([[5]]))