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

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


class LMCacheConnectorV1Impl:
    def __init__(
        self,
        vllm_config: "VllmConfig",
        role: KVConnectorRole,
        parent: KVConnectorBase_V1,
    ):
        self._parent = parent
        self.kv_role = vllm_config.kv_transfer_config.kv_role
        self.worker_count = vllm_config.parallel_config.tensor_parallel_size
        config = lmcache_get_config()
        assert isinstance(config, LMCacheEngineConfig), (
            "LMCache v1 configuration is should be passed for vLLM v1."
        )
        # Put the leading with "lmcache." and matched configs from
        # vllm extra_config to the config
        kv_connector_extra_config = (
            vllm_config.kv_transfer_config.kv_connector_extra_config
        )
        if kv_connector_extra_config:
            for key, value in kv_connector_extra_config.items():
                if key.startswith("lmcache."):
                    config_key = key[8:]  # Remove "lmcache." prefix
                    if hasattr(config, config_key):
                        validate_and_set_config_value(config, config_key, value)
                        logger.info(
                            f"Updated config {config_key} from vLLM "
                            f"extra config: {value}"
                        )

        self.config = config

        self.async_loading = config.enable_async_loading
        self.layerwise_retrievers: list[
            Generator[Optional[torch.Tensor], None, None]
        ] = []
        self._stats_monitor = LMCStatsMonitor.GetOrCreate()
        if role == KVConnectorRole.SCHEDULER:
            # Create lookup client using factory
            self.lookup_client = LookupClientFactory.create_lookup_client(
                vllm_config, config
            )
            self._unfinished_requests: dict[str, Request] = {}
            self._lookup_requests_in_step: list[str] = []
            self.lmcache_engine = None

Review comment (performance):
the `LMCacheEngineConfig` is not a single instance, other `LMCacheEngineConfig` object does not have the configs from vllm when they are inited in other position, I am not sure if this will cause any inconsistency issues.

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


class LMCacheConnectorV1Impl:
    def __init__(
        self,
        vllm_config: "VllmConfig",
        role: KVConnectorRole,
        parent: KVConnectorBase_V1,
    ):
        self._parent = parent
        self.kv_role = vllm_config.kv_transfer_config.kv_role
        self.worker_count = vllm_config.parallel_config.tensor_parallel_size
        config = lmcache_get_config()
        assert isinstance(config, LMCacheEngineConfig), (
            "LMCache v1 configuration is should be passed for vLLM v1."
        )
        # Put the leading with "lmcache." and matched configs from
        # vllm extra_config to the config
        kv_connector_extra_config = (
            vllm_config.kv_transfer_config.kv_connector_extra_config
        )
        if kv_connector_extra_config:
            for key, value in kv_connector_extra_config.items():
                if key.startswith("lmcache."):
                    config_key = key[8:]  # Remove "lmcache." prefix
                    if _validate_and_set_config_value(config, config_key, value):
                        logger.info(
                            f"Updated config {config_key} from vLLM "
                            f"extra config: {value}"
                        )

        self.config = config

        self.async_loading = config.enable_async_loading
        self.layerwise_retrievers: list[
            Generator[Optional[torch.Tensor], None, None]
        ] = []
        self._stats_monitor = LMCStatsMonitor.GetOrCreate()
        if role == KVConnectorRole.SCHEDULER:
            # Create lookup client using factory
            self.lookup_client = LookupClientFactory.create_lookup_client(
                vllm_config, config
            )
            self._unfinished_requests: dict[str, Request] = {}
            self._lookup_requests_in_step: list[str] = []
            self.lmcache_engine = None
        else: