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venice_ai.core.config.backends

Backend configuration models for Venice AI.

Enterprise feature: Configures the storage backends used by state management, account tracking, and the adaptive scheduler.

RedisBackendConfig Objects​

class RedisBackendConfig(BaseModel)

Configuration for Redis backend operations.

Enterprise feature: Required when BackendConfig.backend_type is REDIS. redis_url has no default to prevent accidental localhost connections in production.

RedisBackendConfig.validate_default_ttl​

@field_validator("default_ttl")
@classmethod
def validate_default_ttl(cls, v: int) -> int

Validate default TTL with recommended maximum of 7 days.

RedisBackendConfig.validate_connection_timeout​

@field_validator("connection_timeout")
@classmethod
def validate_connection_timeout(cls, v: float) -> float

Validate connection timeout with reasonable bounds.

RedisBackendConfig.validate_max_connections​

@field_validator("max_connections")
@classmethod
def validate_max_connections(cls, v: int) -> int

Validate max connections with reasonable upper bound.

MemoryBackendConfig Objects​

class MemoryBackendConfig(BaseModel)

Configuration for memory backend cleanup operations.

BackendConfig Objects​

class BackendConfig(BaseModel)

Configuration for data persistence backends.

Enterprise feature: Configures the storage backend used by state management, account tracking, and the adaptive scheduler.

By default uses BackendType.MEMORY — no external dependencies needed. Set backend_type=BackendType.REDIS for distributed/multi-process deployments and provide a RedisBackendConfig with a valid redis_url.