Python class

KVConnectorConfig

`KVConnectorConfig`

class max.pipelines.modeling.kv_cache_config.KVConnectorConfig(*, config_file=None, section_name=None, host_kvcache_swap_space_gb=50.0, disk_offload_dir=None, use_debug_tiered_mode=False, disk_offload_max_gb=50.0, disk_offload_direct_io=False, block_store_endpoint=None, **extra_data)

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Bases: ConfigFileModel

Connector-specific configuration for KV cache connectors.

Common fields are typed. Additional connector-specific fields pass through via extra="allow" and are accessible via model_extra.

Parameters:

config_file (str | None)
section_name (str | None)
host_kvcache_swap_space_gb (float)
disk_offload_dir (str | None)
use_debug_tiered_mode (bool)
disk_offload_max_gb (float)
disk_offload_direct_io (bool)
block_store_endpoint (str | None)
extra_data (Any)

`block_store_endpoint`

block_store_endpoint: str | None

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Endpoint for the co-located dKV service.

Remote dKV endpoints are discovered at runtime through the Orchestrator (via external_block_metadata on the request context), not configured statically. For multi-store reads, the discovered metadata must include MAX-native transfer-engine metadata so the connector can reuse KVTransferEngine.connect().

`config_file`

config_file: str | None

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Path to the configuration file.

`disk_offload_dir`

disk_offload_dir: str | None

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Directory for disk-based KV cache offloading.

`disk_offload_direct_io`

disk_offload_direct_io: bool

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Whether to use O_DIRECT for disk I/O.

`disk_offload_max_gb`

disk_offload_max_gb: float

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Maximum disk space in GB for KV cache offloading.

`host_kvcache_swap_space_gb`

host_kvcache_swap_space_gb: float

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Host memory in GiB for KV cache swapping.

`model_config`

model_config: ClassVar[ConfigDict] = {'extra': 'allow', 'strict': False}

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Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

`section_name`

section_name: str | None

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Optional section name for comprehensive/multi-section config files.

If not provided, values are loaded from the YAML top-level (treating the file as an “individual config” file).

`use_debug_tiered_mode`

use_debug_tiered_mode: bool

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Whether to use the debug tiered mode.