Repository: LMCache/LMCache
File: lmcache/integration/vllm/vllm_v1_adapter.py (Python)

Code before:
                use_gpu=use_gpu,
                chunk_size=chunk_size,
                dtype=kv_dtype,
                device=device,
            )
        tpg = get_tp_group()
    else:
        vllm_gpu_connector = VLLMPagedMemGPUConnectorV2(
            hidden_dim_size,
            num_layer,
            use_gpu=use_gpu,
            chunk_size=chunk_size,
            dtype=kv_dtype,
            device=device,
            use_mla=use_mla,
        )
        tpg = get_tp_group()
    engine = LMCacheEngineBuilder.get_or_create(
        ENGINE_NAME,
        lmcache_config,
        metadata,
        vllm_gpu_connector,
        tpg.broadcast,
        tpg.broadcast_object,
    )
    assert (
        (
            engine.save_only_first_rank
            or lmcache_config.get_extra_config_value(
                "remote_enable_mla_worker_id_as0", metadata.use_mla
            )
        )
        if role == "scheduler" and lmcache_config.enable_scheduler_bypass_lookup
        else True
    ), (
        "enable_scheduler_bypass_lookup is only supported with "
        "save_only_first_rank or remote_enable_mla_worker_id_as0"
    )
    return engine


@dataclass
class LMCacheConnectorMetadata(KVConnectorMetadata):
    requests: list[ReqMeta] = field(default_factory=list)

    @_lmcache_nvtx_annotate
    def add_request(self, req_meta: ReqMeta) -> None:
        """Add a request to the metadata.

        Args:
            req_meta (ReqMeta): the request metadata.

Review comment (performance):
super nit (sorry): 
```python

if role == "scheduler" and lmcache_config.enable_scheduler_bypass_lookup:
    assert (
            engine.save_only_first_rank
            or lmcache_config.get_extra_config_value(
                "remote_enable_mla_worker_id_as0", metadata.use_mla
            )
        )
```

Code after:
                use_gpu=use_gpu,
                chunk_size=chunk_size,
                dtype=kv_dtype,
                device=device,
            )
        tpg = get_tp_group()
    else:
        vllm_gpu_connector = VLLMPagedMemGPUConnectorV2(
            hidden_dim_size,
            num_layer,
            use_gpu=use_gpu,
            chunk_size=chunk_size,
            dtype=kv_dtype,
            device=device,
            use_mla=use_mla,
        )
        tpg = get_tp_group()
    engine = LMCacheEngineBuilder.get_or_create(
        ENGINE_NAME,
        lmcache_config,
        metadata,
        vllm_gpu_connector,
        tpg.broadcast,
        tpg.broadcast_object,
    )
    if role == "scheduler" and lmcache_config.enable_scheduler_bypass_lookup:
        assert engine.save_only_first_rank or lmcache_config.get_extra_config_value(
            "remote_enable_mla_worker_id_as0", metadata.use_mla
        ), (
            "enable_scheduler_bypass_lookup is only supported with "
            "save_only_first_rank or remote_enable_mla_worker_id_as0"
        )
    return engine


@dataclass
class LMCacheConnectorMetadata(KVConnectorMetadata):
    requests: list[ReqMeta] = field(default_factory=list)

    @_lmcache_nvtx_annotate
    def add_request(self, req_meta: ReqMeta) -> None:
        """Add a request to the metadata.

        Args:
            req_meta (ReqMeta): the request metadata.
        """
        self.requests.append(req_meta)


class LMCacheConnectorV1Impl:
    def __init__(