[BugFix] Correct max memory usage for multiple KV-cache groups

tests/v1/core/test_kv_cache_utils.py

@@ -43,6 +43,7 @@
     KVCacheGroupSpec,
     KVCacheSpec,
     KVCacheTensor,
+    MambaSpec,
     MLAAttentionSpec,
     SlidingWindowSpec,
     UniformTypeKVCacheSpecs,
@@ -157,6 +158,24 @@ def new_chunked_local_attention_spec(
     )
 
 
+def new_mamba_spec(
+    block_size=16,
+    shapes=((2, 512), (3, 32, 32)),
+    dtypes=(torch.float32, torch.float32),
+    num_speculative_blocks=2,
+    mamba_cache_mode="none",
+    page_size_padded=None,
+):
+    return MambaSpec(
+        block_size=block_size,
+        shapes=shapes,
+        dtypes=dtypes,
+        page_size_padded=page_size_padded,
+        mamba_cache_mode=mamba_cache_mode,
+        num_speculative_blocks=num_speculative_blocks,
+    )
+
+
 @pytest.mark.parametrize("hash_fn", [sha256, sha256_cbor])
 def test_none_hash(monkeypatch, hash_fn):
     import vllm.v1.core.kv_cache_utils
@@ -2010,6 +2029,28 @@ def test_auto_fit_max_model_len():
     assert vllm_config.model_config.max_model_len > 0
 
 
+def test_auto_fit_max_model_len_with_hybrid():
+    """Test that auto-fit works with hybrid KV cache specs."""
+    # Create config with original_max_model_len=-1 to trigger auto-fit
+    model_config = ModelConfig(max_model_len=8192)
+    # Simulate the user passing -1 by setting original_max_model_len
+    model_config.original_max_model_len = -1
+    vllm_config = VllmConfig(model_config=model_config)
+
+    mem_per_block_per_layer = 16 * 2 * 64 * 4 * 2  # 16KB per block per layer
+    gamma = 2
+    kv_cache_specs = {
+        "layer_1": new_mamba_spec(num_speculative_blocks=gamma),
+        "layer_2": new_kv_cache_spec(),
+    }
+
+    available_memory = mem_per_block_per_layer * (1024 // 16 + 1 + gamma)
+    _kv_cache_configs = get_kv_cache_configs(
+        vllm_config, [kv_cache_specs], [available_memory]
+    )
+    assert vllm_config.model_config.max_model_len == 1024
+
+
 def test_auto_fit_max_model_len_not_triggered():
     """Test that auto-fit is not triggered when original_max_model_len is not -1."""
     model_config = ModelConfig(max_model_len=16)

vllm/v1/core/kv_cache_utils.py

@@ -1356,8 +1356,10 @@ def _max_memory_usage_bytes_from_groups(
     page_size = get_uniform_page_size(
         [group.kv_cache_spec for group in kv_cache_groups]
     )
-    any_spec = kv_cache_groups[0].kv_cache_spec
-    blocks_needed = cdiv(any_spec.max_memory_usage_bytes(vllm_config), page_size)
+    blocks_needed = sum(
+        cdiv(group.kv_cache_spec.max_memory_usage_bytes(vllm_config), page_size)
+        for group in kv_cache_groups
+    )
 
     return group_size * page_size * blocks_needed