SelfManagedMemoryStrategy

class aws_cdk.aws_bedrock_agentcore_alpha.SelfManagedMemoryStrategy(strategy_type, *, invocation_configuration, historical_context_window_size=None, trigger_conditions=None, name, description=None)

Bases: object

(experimental) Use AgentCore memory for event storage with custom triggers.

Define memory processing logic in your own environment.

Stability:

experimental

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_bedrock_agentcore_alpha as bedrock_agentcore_alpha
import aws_cdk as cdk
from aws_cdk import aws_sns as sns

# topic: sns.Topic

self_managed_memory_strategy = bedrock_agentcore_alpha.SelfManagedMemoryStrategy(bedrock_agentcore_alpha.MemoryStrategyType.SUMMARIZATION,
    invocation_configuration=bedrock_agentcore_alpha.InvocationConfiguration(
        s3_location=cdk.aws_s3.Location(
            bucket_name="bucketName",
            object_key="objectKey",

            # the properties below are optional
            object_version="objectVersion"
        ),
        topic=topic
    ),
    name="name",

    # the properties below are optional
    description="description",
    historical_context_window_size=123,
    trigger_conditions=bedrock_agentcore_alpha.TriggerConditions(
        message_based_trigger=123,
        time_based_trigger=cdk.Duration.minutes(30),
        token_based_trigger=123
    )
)

Parameters:

• strategy_type (MemoryStrategyType) – The type of memory strategy.

• invocation_configuration (Union[InvocationConfiguration, Dict[str, Any]]) – (experimental) Invocation configuration for self managed memory strategy.

• historical_context_window_size (Union[int, float, None]) – (experimental) Define the number of previous events to be included when processing memory. A larger history window provides more context from past conversations. Default: 4

• trigger_conditions (Union[TriggerConditions, Dict[str, Any], None]) – (experimental) Trigger conditions for self managed memory strategy. Default: - undefined

• name (str) – (experimental) The name for the strategy.

• description (Optional[str]) – (experimental) The description of the strategy. Default: - No description

Stability:

experimental

Methods

grant(grantee)

(experimental) Grants the necessary permissions to the role.

[disable-awslint:no-grants]

Parameters:

grantee (IGrantable) –

• The grantee to grant permissions to.

Return type:

Optional[Grant]

Returns:

The Grant object for chaining

Stability:

experimental

render()

(experimental) Renders internal attributes to CloudFormation.

Stability:

experimental

Return type:

MemoryStrategyProperty

Attributes

description

(experimental) The description of the memory strategy.

Stability:

experimental

historical_context_window_size

(experimental) Historical context window size for self managed memory strategy.

Stability:

experimental

invocation_configuration

(experimental) Invocation configuration for self managed memory strategy.

Stability:

experimental

name

(experimental) The name of the memory strategy.

Stability:

experimental

strategy_type

(experimental) The type of memory strategy.

Stability:

experimental

trigger_conditions

(experimental) Trigger conditions for self managed memory strategy.

Stability:

experimental