aws.bedrock.AgentcoreMemoryStrategy
Manages an AWS Bedrock AgentCore Memory Strategy. Memory strategies define how the agent processes and organizes information within a memory, such as semantic understanding, summarization, or custom processing logic.
Important Limitations:
- Each memory can have a maximum of 6 strategies total
- Only one strategy of each built-in type (
SEMANTIC,SUMMARIZATION,USER_PREFERENCE) can exist per memory - Multiple
CUSTOMstrategies are allowed (subject to the total limit of 6)
Example Usage
Semantic Strategy
import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
const semantic = new aws.bedrock.AgentcoreMemoryStrategy("semantic", {
name: "semantic-strategy",
memoryId: example.id,
type: "SEMANTIC",
description: "Semantic understanding strategy",
namespaces: ["default"],
});
import pulumi
import pulumi_aws as aws
semantic = aws.bedrock.AgentcoreMemoryStrategy("semantic",
name="semantic-strategy",
memory_id=example["id"],
type="SEMANTIC",
description="Semantic understanding strategy",
namespaces=["default"])
package main
import (
"github.com/pulumi/pulumi-aws/sdk/v7/go/aws/bedrock"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := bedrock.NewAgentcoreMemoryStrategy(ctx, "semantic", &bedrock.AgentcoreMemoryStrategyArgs{
Name: pulumi.String("semantic-strategy"),
MemoryId: pulumi.Any(example.Id),
Type: pulumi.String("SEMANTIC"),
Description: pulumi.String("Semantic understanding strategy"),
Namespaces: pulumi.StringArray{
pulumi.String("default"),
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;
return await Deployment.RunAsync(() =>
{
var semantic = new Aws.Bedrock.AgentcoreMemoryStrategy("semantic", new()
{
Name = "semantic-strategy",
MemoryId = example.Id,
Type = "SEMANTIC",
Description = "Semantic understanding strategy",
Namespaces = new[]
{
"default",
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.bedrock.AgentcoreMemoryStrategy;
import com.pulumi.aws.bedrock.AgentcoreMemoryStrategyArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var semantic = new AgentcoreMemoryStrategy("semantic", AgentcoreMemoryStrategyArgs.builder()
.name("semantic-strategy")
.memoryId(example.id())
.type("SEMANTIC")
.description("Semantic understanding strategy")
.namespaces("default")
.build());
}
}
resources:
semantic:
type: aws:bedrock:AgentcoreMemoryStrategy
properties:
name: semantic-strategy
memoryId: ${example.id}
type: SEMANTIC
description: Semantic understanding strategy
namespaces:
- default
Summarization Strategy
import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
const summary = new aws.bedrock.AgentcoreMemoryStrategy("summary", {
name: "summary-strategy",
memoryId: example.id,
type: "SUMMARIZATION",
description: "Text summarization strategy",
namespaces: ["{sessionId}"],
});
import pulumi
import pulumi_aws as aws
summary = aws.bedrock.AgentcoreMemoryStrategy("summary",
name="summary-strategy",
memory_id=example["id"],
type="SUMMARIZATION",
description="Text summarization strategy",
namespaces=["{sessionId}"])
package main
import (
"github.com/pulumi/pulumi-aws/sdk/v7/go/aws/bedrock"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := bedrock.NewAgentcoreMemoryStrategy(ctx, "summary", &bedrock.AgentcoreMemoryStrategyArgs{
Name: pulumi.String("summary-strategy"),
MemoryId: pulumi.Any(example.Id),
Type: pulumi.String("SUMMARIZATION"),
Description: pulumi.String("Text summarization strategy"),
Namespaces: pulumi.StringArray{
pulumi.String("{sessionId}"),
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;
return await Deployment.RunAsync(() =>
{
var summary = new Aws.Bedrock.AgentcoreMemoryStrategy("summary", new()
{
Name = "summary-strategy",
MemoryId = example.Id,
Type = "SUMMARIZATION",
Description = "Text summarization strategy",
Namespaces = new[]
{
"{sessionId}",
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.bedrock.AgentcoreMemoryStrategy;
import com.pulumi.aws.bedrock.AgentcoreMemoryStrategyArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var summary = new AgentcoreMemoryStrategy("summary", AgentcoreMemoryStrategyArgs.builder()
.name("summary-strategy")
.memoryId(example.id())
.type("SUMMARIZATION")
.description("Text summarization strategy")
.namespaces("{sessionId}")
.build());
}
}
resources:
summary:
type: aws:bedrock:AgentcoreMemoryStrategy
properties:
name: summary-strategy
memoryId: ${example.id}
type: SUMMARIZATION
description: Text summarization strategy
namespaces:
- '{sessionId}'
User Preference Strategy
import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
const userPref = new aws.bedrock.AgentcoreMemoryStrategy("user_pref", {
name: "user-preference-strategy",
memoryId: example.id,
type: "USER_PREFERENCE",
description: "User preference tracking strategy",
namespaces: ["preferences"],
});
import pulumi
import pulumi_aws as aws
user_pref = aws.bedrock.AgentcoreMemoryStrategy("user_pref",
name="user-preference-strategy",
memory_id=example["id"],
type="USER_PREFERENCE",
description="User preference tracking strategy",
namespaces=["preferences"])
package main
import (
"github.com/pulumi/pulumi-aws/sdk/v7/go/aws/bedrock"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := bedrock.NewAgentcoreMemoryStrategy(ctx, "user_pref", &bedrock.AgentcoreMemoryStrategyArgs{
Name: pulumi.String("user-preference-strategy"),
MemoryId: pulumi.Any(example.Id),
Type: pulumi.String("USER_PREFERENCE"),
Description: pulumi.String("User preference tracking strategy"),
Namespaces: pulumi.StringArray{
pulumi.String("preferences"),
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;
return await Deployment.RunAsync(() =>
{
var userPref = new Aws.Bedrock.AgentcoreMemoryStrategy("user_pref", new()
{
Name = "user-preference-strategy",
MemoryId = example.Id,
Type = "USER_PREFERENCE",
Description = "User preference tracking strategy",
Namespaces = new[]
{
"preferences",
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.bedrock.AgentcoreMemoryStrategy;
import com.pulumi.aws.bedrock.AgentcoreMemoryStrategyArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var userPref = new AgentcoreMemoryStrategy("userPref", AgentcoreMemoryStrategyArgs.builder()
.name("user-preference-strategy")
.memoryId(example.id())
.type("USER_PREFERENCE")
.description("User preference tracking strategy")
.namespaces("preferences")
.build());
}
}
resources:
userPref:
type: aws:bedrock:AgentcoreMemoryStrategy
name: user_pref
properties:
name: user-preference-strategy
memoryId: ${example.id}
type: USER_PREFERENCE
description: User preference tracking strategy
namespaces:
- preferences
Custom Strategy with Semantic Override
import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
const customSemantic = new aws.bedrock.AgentcoreMemoryStrategy("custom_semantic", {
name: "custom-semantic-strategy",
memoryId: example.id,
memoryExecutionRoleArn: example.memoryExecutionRoleArn,
type: "CUSTOM",
description: "Custom semantic processing strategy",
namespaces: ["{sessionId}"],
configuration: {
type: "SEMANTIC_OVERRIDE",
consolidation: {
appendToPrompt: "Focus on extracting key semantic relationships and concepts",
modelId: "anthropic.claude-3-sonnet-20240229-v1:0",
},
extraction: {
appendToPrompt: "Extract and categorize semantic information",
modelId: "anthropic.claude-3-haiku-20240307-v1:0",
},
},
});
import pulumi
import pulumi_aws as aws
custom_semantic = aws.bedrock.AgentcoreMemoryStrategy("custom_semantic",
name="custom-semantic-strategy",
memory_id=example["id"],
memory_execution_role_arn=example["memoryExecutionRoleArn"],
type="CUSTOM",
description="Custom semantic processing strategy",
namespaces=["{sessionId}"],
configuration={
"type": "SEMANTIC_OVERRIDE",
"consolidation": {
"append_to_prompt": "Focus on extracting key semantic relationships and concepts",
"model_id": "anthropic.claude-3-sonnet-20240229-v1:0",
},
"extraction": {
"append_to_prompt": "Extract and categorize semantic information",
"model_id": "anthropic.claude-3-haiku-20240307-v1:0",
},
})
package main
import (
"github.com/pulumi/pulumi-aws/sdk/v7/go/aws/bedrock"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := bedrock.NewAgentcoreMemoryStrategy(ctx, "custom_semantic", &bedrock.AgentcoreMemoryStrategyArgs{
Name: pulumi.String("custom-semantic-strategy"),
MemoryId: pulumi.Any(example.Id),
MemoryExecutionRoleArn: pulumi.Any(example.MemoryExecutionRoleArn),
Type: pulumi.String("CUSTOM"),
Description: pulumi.String("Custom semantic processing strategy"),
Namespaces: pulumi.StringArray{
pulumi.String("{sessionId}"),
},
Configuration: &bedrock.AgentcoreMemoryStrategyConfigurationArgs{
Type: pulumi.String("SEMANTIC_OVERRIDE"),
Consolidation: &bedrock.AgentcoreMemoryStrategyConfigurationConsolidationArgs{
AppendToPrompt: pulumi.String("Focus on extracting key semantic relationships and concepts"),
ModelId: pulumi.String("anthropic.claude-3-sonnet-20240229-v1:0"),
},
Extraction: &bedrock.AgentcoreMemoryStrategyConfigurationExtractionArgs{
AppendToPrompt: pulumi.String("Extract and categorize semantic information"),
ModelId: pulumi.String("anthropic.claude-3-haiku-20240307-v1:0"),
},
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;
return await Deployment.RunAsync(() =>
{
var customSemantic = new Aws.Bedrock.AgentcoreMemoryStrategy("custom_semantic", new()
{
Name = "custom-semantic-strategy",
MemoryId = example.Id,
MemoryExecutionRoleArn = example.MemoryExecutionRoleArn,
Type = "CUSTOM",
Description = "Custom semantic processing strategy",
Namespaces = new[]
{
"{sessionId}",
},
Configuration = new Aws.Bedrock.Inputs.AgentcoreMemoryStrategyConfigurationArgs
{
Type = "SEMANTIC_OVERRIDE",
Consolidation = new Aws.Bedrock.Inputs.AgentcoreMemoryStrategyConfigurationConsolidationArgs
{
AppendToPrompt = "Focus on extracting key semantic relationships and concepts",
ModelId = "anthropic.claude-3-sonnet-20240229-v1:0",
},
Extraction = new Aws.Bedrock.Inputs.AgentcoreMemoryStrategyConfigurationExtractionArgs
{
AppendToPrompt = "Extract and categorize semantic information",
ModelId = "anthropic.claude-3-haiku-20240307-v1:0",
},
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.bedrock.AgentcoreMemoryStrategy;
import com.pulumi.aws.bedrock.AgentcoreMemoryStrategyArgs;
import com.pulumi.aws.bedrock.inputs.AgentcoreMemoryStrategyConfigurationArgs;
import com.pulumi.aws.bedrock.inputs.AgentcoreMemoryStrategyConfigurationConsolidationArgs;
import com.pulumi.aws.bedrock.inputs.AgentcoreMemoryStrategyConfigurationExtractionArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var customSemantic = new AgentcoreMemoryStrategy("customSemantic", AgentcoreMemoryStrategyArgs.builder()
.name("custom-semantic-strategy")
.memoryId(example.id())
.memoryExecutionRoleArn(example.memoryExecutionRoleArn())
.type("CUSTOM")
.description("Custom semantic processing strategy")
.namespaces("{sessionId}")
.configuration(AgentcoreMemoryStrategyConfigurationArgs.builder()
.type("SEMANTIC_OVERRIDE")
.consolidation(AgentcoreMemoryStrategyConfigurationConsolidationArgs.builder()
.appendToPrompt("Focus on extracting key semantic relationships and concepts")
.modelId("anthropic.claude-3-sonnet-20240229-v1:0")
.build())
.extraction(AgentcoreMemoryStrategyConfigurationExtractionArgs.builder()
.appendToPrompt("Extract and categorize semantic information")
.modelId("anthropic.claude-3-haiku-20240307-v1:0")
.build())
.build())
.build());
}
}
resources:
customSemantic:
type: aws:bedrock:AgentcoreMemoryStrategy
name: custom_semantic
properties:
name: custom-semantic-strategy
memoryId: ${example.id}
memoryExecutionRoleArn: ${example.memoryExecutionRoleArn}
type: CUSTOM
description: Custom semantic processing strategy
namespaces:
- '{sessionId}'
configuration:
type: SEMANTIC_OVERRIDE
consolidation:
appendToPrompt: Focus on extracting key semantic relationships and concepts
modelId: anthropic.claude-3-sonnet-20240229-v1:0
extraction:
appendToPrompt: Extract and categorize semantic information
modelId: anthropic.claude-3-haiku-20240307-v1:0
Custom Strategy with Summary Override
import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
const customSummary = new aws.bedrock.AgentcoreMemoryStrategy("custom_summary", {
name: "custom-summary-strategy",
memoryId: example.id,
type: "CUSTOM",
description: "Custom summarization strategy",
namespaces: ["summaries"],
configuration: {
type: "SUMMARY_OVERRIDE",
consolidation: {
appendToPrompt: "Create concise summaries while preserving key details",
modelId: "anthropic.claude-3-sonnet-20240229-v1:0",
},
},
});
import pulumi
import pulumi_aws as aws
custom_summary = aws.bedrock.AgentcoreMemoryStrategy("custom_summary",
name="custom-summary-strategy",
memory_id=example["id"],
type="CUSTOM",
description="Custom summarization strategy",
namespaces=["summaries"],
configuration={
"type": "SUMMARY_OVERRIDE",
"consolidation": {
"append_to_prompt": "Create concise summaries while preserving key details",
"model_id": "anthropic.claude-3-sonnet-20240229-v1:0",
},
})
package main
import (
"github.com/pulumi/pulumi-aws/sdk/v7/go/aws/bedrock"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := bedrock.NewAgentcoreMemoryStrategy(ctx, "custom_summary", &bedrock.AgentcoreMemoryStrategyArgs{
Name: pulumi.String("custom-summary-strategy"),
MemoryId: pulumi.Any(example.Id),
Type: pulumi.String("CUSTOM"),
Description: pulumi.String("Custom summarization strategy"),
Namespaces: pulumi.StringArray{
pulumi.String("summaries"),
},
Configuration: &bedrock.AgentcoreMemoryStrategyConfigurationArgs{
Type: pulumi.String("SUMMARY_OVERRIDE"),
Consolidation: &bedrock.AgentcoreMemoryStrategyConfigurationConsolidationArgs{
AppendToPrompt: pulumi.String("Create concise summaries while preserving key details"),
ModelId: pulumi.String("anthropic.claude-3-sonnet-20240229-v1:0"),
},
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;
return await Deployment.RunAsync(() =>
{
var customSummary = new Aws.Bedrock.AgentcoreMemoryStrategy("custom_summary", new()
{
Name = "custom-summary-strategy",
MemoryId = example.Id,
Type = "CUSTOM",
Description = "Custom summarization strategy",
Namespaces = new[]
{
"summaries",
},
Configuration = new Aws.Bedrock.Inputs.AgentcoreMemoryStrategyConfigurationArgs
{
Type = "SUMMARY_OVERRIDE",
Consolidation = new Aws.Bedrock.Inputs.AgentcoreMemoryStrategyConfigurationConsolidationArgs
{
AppendToPrompt = "Create concise summaries while preserving key details",
ModelId = "anthropic.claude-3-sonnet-20240229-v1:0",
},
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.bedrock.AgentcoreMemoryStrategy;
import com.pulumi.aws.bedrock.AgentcoreMemoryStrategyArgs;
import com.pulumi.aws.bedrock.inputs.AgentcoreMemoryStrategyConfigurationArgs;
import com.pulumi.aws.bedrock.inputs.AgentcoreMemoryStrategyConfigurationConsolidationArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var customSummary = new AgentcoreMemoryStrategy("customSummary", AgentcoreMemoryStrategyArgs.builder()
.name("custom-summary-strategy")
.memoryId(example.id())
.type("CUSTOM")
.description("Custom summarization strategy")
.namespaces("summaries")
.configuration(AgentcoreMemoryStrategyConfigurationArgs.builder()
.type("SUMMARY_OVERRIDE")
.consolidation(AgentcoreMemoryStrategyConfigurationConsolidationArgs.builder()
.appendToPrompt("Create concise summaries while preserving key details")
.modelId("anthropic.claude-3-sonnet-20240229-v1:0")
.build())
.build())
.build());
}
}
resources:
customSummary:
type: aws:bedrock:AgentcoreMemoryStrategy
name: custom_summary
properties:
name: custom-summary-strategy
memoryId: ${example.id}
type: CUSTOM
description: Custom summarization strategy
namespaces:
- summaries
configuration:
type: SUMMARY_OVERRIDE
consolidation:
appendToPrompt: Create concise summaries while preserving key details
modelId: anthropic.claude-3-sonnet-20240229-v1:0
Custom Strategy with User Preference Override
import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
const customUserPref = new aws.bedrock.AgentcoreMemoryStrategy("custom_user_pref", {
name: "custom-user-preference-strategy",
memoryId: example.id,
type: "CUSTOM",
description: "Custom user preference tracking strategy",
namespaces: ["user_prefs"],
configuration: {
type: "USER_PREFERENCE_OVERRIDE",
consolidation: {
appendToPrompt: "Consolidate user preferences and behavioral patterns",
modelId: "anthropic.claude-3-sonnet-20240229-v1:0",
},
extraction: {
appendToPrompt: "Extract user preferences and interaction patterns",
modelId: "anthropic.claude-3-haiku-20240307-v1:0",
},
},
});
import pulumi
import pulumi_aws as aws
custom_user_pref = aws.bedrock.AgentcoreMemoryStrategy("custom_user_pref",
name="custom-user-preference-strategy",
memory_id=example["id"],
type="CUSTOM",
description="Custom user preference tracking strategy",
namespaces=["user_prefs"],
configuration={
"type": "USER_PREFERENCE_OVERRIDE",
"consolidation": {
"append_to_prompt": "Consolidate user preferences and behavioral patterns",
"model_id": "anthropic.claude-3-sonnet-20240229-v1:0",
},
"extraction": {
"append_to_prompt": "Extract user preferences and interaction patterns",
"model_id": "anthropic.claude-3-haiku-20240307-v1:0",
},
})
package main
import (
"github.com/pulumi/pulumi-aws/sdk/v7/go/aws/bedrock"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := bedrock.NewAgentcoreMemoryStrategy(ctx, "custom_user_pref", &bedrock.AgentcoreMemoryStrategyArgs{
Name: pulumi.String("custom-user-preference-strategy"),
MemoryId: pulumi.Any(example.Id),
Type: pulumi.String("CUSTOM"),
Description: pulumi.String("Custom user preference tracking strategy"),
Namespaces: pulumi.StringArray{
pulumi.String("user_prefs"),
},
Configuration: &bedrock.AgentcoreMemoryStrategyConfigurationArgs{
Type: pulumi.String("USER_PREFERENCE_OVERRIDE"),
Consolidation: &bedrock.AgentcoreMemoryStrategyConfigurationConsolidationArgs{
AppendToPrompt: pulumi.String("Consolidate user preferences and behavioral patterns"),
ModelId: pulumi.String("anthropic.claude-3-sonnet-20240229-v1:0"),
},
Extraction: &bedrock.AgentcoreMemoryStrategyConfigurationExtractionArgs{
AppendToPrompt: pulumi.String("Extract user preferences and interaction patterns"),
ModelId: pulumi.String("anthropic.claude-3-haiku-20240307-v1:0"),
},
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;
return await Deployment.RunAsync(() =>
{
var customUserPref = new Aws.Bedrock.AgentcoreMemoryStrategy("custom_user_pref", new()
{
Name = "custom-user-preference-strategy",
MemoryId = example.Id,
Type = "CUSTOM",
Description = "Custom user preference tracking strategy",
Namespaces = new[]
{
"user_prefs",
},
Configuration = new Aws.Bedrock.Inputs.AgentcoreMemoryStrategyConfigurationArgs
{
Type = "USER_PREFERENCE_OVERRIDE",
Consolidation = new Aws.Bedrock.Inputs.AgentcoreMemoryStrategyConfigurationConsolidationArgs
{
AppendToPrompt = "Consolidate user preferences and behavioral patterns",
ModelId = "anthropic.claude-3-sonnet-20240229-v1:0",
},
Extraction = new Aws.Bedrock.Inputs.AgentcoreMemoryStrategyConfigurationExtractionArgs
{
AppendToPrompt = "Extract user preferences and interaction patterns",
ModelId = "anthropic.claude-3-haiku-20240307-v1:0",
},
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.bedrock.AgentcoreMemoryStrategy;
import com.pulumi.aws.bedrock.AgentcoreMemoryStrategyArgs;
import com.pulumi.aws.bedrock.inputs.AgentcoreMemoryStrategyConfigurationArgs;
import com.pulumi.aws.bedrock.inputs.AgentcoreMemoryStrategyConfigurationConsolidationArgs;
import com.pulumi.aws.bedrock.inputs.AgentcoreMemoryStrategyConfigurationExtractionArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var customUserPref = new AgentcoreMemoryStrategy("customUserPref", AgentcoreMemoryStrategyArgs.builder()
.name("custom-user-preference-strategy")
.memoryId(example.id())
.type("CUSTOM")
.description("Custom user preference tracking strategy")
.namespaces("user_prefs")
.configuration(AgentcoreMemoryStrategyConfigurationArgs.builder()
.type("USER_PREFERENCE_OVERRIDE")
.consolidation(AgentcoreMemoryStrategyConfigurationConsolidationArgs.builder()
.appendToPrompt("Consolidate user preferences and behavioral patterns")
.modelId("anthropic.claude-3-sonnet-20240229-v1:0")
.build())
.extraction(AgentcoreMemoryStrategyConfigurationExtractionArgs.builder()
.appendToPrompt("Extract user preferences and interaction patterns")
.modelId("anthropic.claude-3-haiku-20240307-v1:0")
.build())
.build())
.build());
}
}
resources:
customUserPref:
type: aws:bedrock:AgentcoreMemoryStrategy
name: custom_user_pref
properties:
name: custom-user-preference-strategy
memoryId: ${example.id}
type: CUSTOM
description: Custom user preference tracking strategy
namespaces:
- user_prefs
configuration:
type: USER_PREFERENCE_OVERRIDE
consolidation:
appendToPrompt: Consolidate user preferences and behavioral patterns
modelId: anthropic.claude-3-sonnet-20240229-v1:0
extraction:
appendToPrompt: Extract user preferences and interaction patterns
modelId: anthropic.claude-3-haiku-20240307-v1:0
Create AgentcoreMemoryStrategy Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new AgentcoreMemoryStrategy(name: string, args: AgentcoreMemoryStrategyArgs, opts?: CustomResourceOptions);@overload
def AgentcoreMemoryStrategy(resource_name: str,
args: AgentcoreMemoryStrategyArgs,
opts: Optional[ResourceOptions] = None)
@overload
def AgentcoreMemoryStrategy(resource_name: str,
opts: Optional[ResourceOptions] = None,
memory_id: Optional[str] = None,
namespaces: Optional[Sequence[str]] = None,
type: Optional[str] = None,
configuration: Optional[AgentcoreMemoryStrategyConfigurationArgs] = None,
description: Optional[str] = None,
memory_execution_role_arn: Optional[str] = None,
name: Optional[str] = None,
region: Optional[str] = None,
timeouts: Optional[AgentcoreMemoryStrategyTimeoutsArgs] = None)func NewAgentcoreMemoryStrategy(ctx *Context, name string, args AgentcoreMemoryStrategyArgs, opts ...ResourceOption) (*AgentcoreMemoryStrategy, error)public AgentcoreMemoryStrategy(string name, AgentcoreMemoryStrategyArgs args, CustomResourceOptions? opts = null)
public AgentcoreMemoryStrategy(String name, AgentcoreMemoryStrategyArgs args)
public AgentcoreMemoryStrategy(String name, AgentcoreMemoryStrategyArgs args, CustomResourceOptions options)
type: aws:bedrock:AgentcoreMemoryStrategy
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args AgentcoreMemoryStrategyArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args AgentcoreMemoryStrategyArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args AgentcoreMemoryStrategyArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args AgentcoreMemoryStrategyArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args AgentcoreMemoryStrategyArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var agentcoreMemoryStrategyResource = new Aws.Bedrock.AgentcoreMemoryStrategy("agentcoreMemoryStrategyResource", new()
{
MemoryId = "string",
Namespaces = new[]
{
"string",
},
Type = "string",
Configuration = new Aws.Bedrock.Inputs.AgentcoreMemoryStrategyConfigurationArgs
{
Type = "string",
Consolidation = new Aws.Bedrock.Inputs.AgentcoreMemoryStrategyConfigurationConsolidationArgs
{
AppendToPrompt = "string",
ModelId = "string",
},
Extraction = new Aws.Bedrock.Inputs.AgentcoreMemoryStrategyConfigurationExtractionArgs
{
AppendToPrompt = "string",
ModelId = "string",
},
},
Description = "string",
MemoryExecutionRoleArn = "string",
Name = "string",
Region = "string",
Timeouts = new Aws.Bedrock.Inputs.AgentcoreMemoryStrategyTimeoutsArgs
{
Create = "string",
Delete = "string",
Update = "string",
},
});
example, err := bedrock.NewAgentcoreMemoryStrategy(ctx, "agentcoreMemoryStrategyResource", &bedrock.AgentcoreMemoryStrategyArgs{
MemoryId: pulumi.String("string"),
Namespaces: pulumi.StringArray{
pulumi.String("string"),
},
Type: pulumi.String("string"),
Configuration: &bedrock.AgentcoreMemoryStrategyConfigurationArgs{
Type: pulumi.String("string"),
Consolidation: &bedrock.AgentcoreMemoryStrategyConfigurationConsolidationArgs{
AppendToPrompt: pulumi.String("string"),
ModelId: pulumi.String("string"),
},
Extraction: &bedrock.AgentcoreMemoryStrategyConfigurationExtractionArgs{
AppendToPrompt: pulumi.String("string"),
ModelId: pulumi.String("string"),
},
},
Description: pulumi.String("string"),
MemoryExecutionRoleArn: pulumi.String("string"),
Name: pulumi.String("string"),
Region: pulumi.String("string"),
Timeouts: &bedrock.AgentcoreMemoryStrategyTimeoutsArgs{
Create: pulumi.String("string"),
Delete: pulumi.String("string"),
Update: pulumi.String("string"),
},
})
var agentcoreMemoryStrategyResource = new AgentcoreMemoryStrategy("agentcoreMemoryStrategyResource", AgentcoreMemoryStrategyArgs.builder()
.memoryId("string")
.namespaces("string")
.type("string")
.configuration(AgentcoreMemoryStrategyConfigurationArgs.builder()
.type("string")
.consolidation(AgentcoreMemoryStrategyConfigurationConsolidationArgs.builder()
.appendToPrompt("string")
.modelId("string")
.build())
.extraction(AgentcoreMemoryStrategyConfigurationExtractionArgs.builder()
.appendToPrompt("string")
.modelId("string")
.build())
.build())
.description("string")
.memoryExecutionRoleArn("string")
.name("string")
.region("string")
.timeouts(AgentcoreMemoryStrategyTimeoutsArgs.builder()
.create("string")
.delete("string")
.update("string")
.build())
.build());
agentcore_memory_strategy_resource = aws.bedrock.AgentcoreMemoryStrategy("agentcoreMemoryStrategyResource",
memory_id="string",
namespaces=["string"],
type="string",
configuration={
"type": "string",
"consolidation": {
"append_to_prompt": "string",
"model_id": "string",
},
"extraction": {
"append_to_prompt": "string",
"model_id": "string",
},
},
description="string",
memory_execution_role_arn="string",
name="string",
region="string",
timeouts={
"create": "string",
"delete": "string",
"update": "string",
})
const agentcoreMemoryStrategyResource = new aws.bedrock.AgentcoreMemoryStrategy("agentcoreMemoryStrategyResource", {
memoryId: "string",
namespaces: ["string"],
type: "string",
configuration: {
type: "string",
consolidation: {
appendToPrompt: "string",
modelId: "string",
},
extraction: {
appendToPrompt: "string",
modelId: "string",
},
},
description: "string",
memoryExecutionRoleArn: "string",
name: "string",
region: "string",
timeouts: {
create: "string",
"delete": "string",
update: "string",
},
});
type: aws:bedrock:AgentcoreMemoryStrategy
properties:
configuration:
consolidation:
appendToPrompt: string
modelId: string
extraction:
appendToPrompt: string
modelId: string
type: string
description: string
memoryExecutionRoleArn: string
memoryId: string
name: string
namespaces:
- string
region: string
timeouts:
create: string
delete: string
update: string
type: string
AgentcoreMemoryStrategy Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.
The AgentcoreMemoryStrategy resource accepts the following input properties:
- Memory
Id string - ID of the memory to associate with this strategy. Changing this forces a new resource.
- Namespaces List<string>
Set of namespace identifiers where this strategy applies. Namespaces help organize and scope memory content.
The following arguments are optional:
- Type string
- Type of memory strategy. Valid values:
SEMANTIC,SUMMARIZATION,USER_PREFERENCE,CUSTOM. Changing this forces a new resource. Note that only one strategy of each built-in type (SEMANTIC,SUMMARIZATION,USER_PREFERENCE) can exist per memory. - Configuration
Agentcore
Memory Strategy Configuration - Custom configuration block. Required when
typeisCUSTOM, must be omitted for other types. Seeconfigurationbelow. - Description string
- Description of the memory strategy.
- Memory
Execution stringRole Arn - Name string
- Name of the memory strategy.
- Region string
- Region where this resource will be managed. Defaults to the Region set in the provider configuration.
- Timeouts
Agentcore
Memory Strategy Timeouts
- Memory
Id string - ID of the memory to associate with this strategy. Changing this forces a new resource.
- Namespaces []string
Set of namespace identifiers where this strategy applies. Namespaces help organize and scope memory content.
The following arguments are optional:
- Type string
- Type of memory strategy. Valid values:
SEMANTIC,SUMMARIZATION,USER_PREFERENCE,CUSTOM. Changing this forces a new resource. Note that only one strategy of each built-in type (SEMANTIC,SUMMARIZATION,USER_PREFERENCE) can exist per memory. - Configuration
Agentcore
Memory Strategy Configuration Args - Custom configuration block. Required when
typeisCUSTOM, must be omitted for other types. Seeconfigurationbelow. - Description string
- Description of the memory strategy.
- Memory
Execution stringRole Arn - Name string
- Name of the memory strategy.
- Region string
- Region where this resource will be managed. Defaults to the Region set in the provider configuration.
- Timeouts
Agentcore
Memory Strategy Timeouts Args
- memory
Id String - ID of the memory to associate with this strategy. Changing this forces a new resource.
- namespaces List<String>
Set of namespace identifiers where this strategy applies. Namespaces help organize and scope memory content.
The following arguments are optional:
- type String
- Type of memory strategy. Valid values:
SEMANTIC,SUMMARIZATION,USER_PREFERENCE,CUSTOM. Changing this forces a new resource. Note that only one strategy of each built-in type (SEMANTIC,SUMMARIZATION,USER_PREFERENCE) can exist per memory. - configuration
Agentcore
Memory Strategy Configuration - Custom configuration block. Required when
typeisCUSTOM, must be omitted for other types. Seeconfigurationbelow. - description String
- Description of the memory strategy.
- memory
Execution StringRole Arn - name String
- Name of the memory strategy.
- region String
- Region where this resource will be managed. Defaults to the Region set in the provider configuration.
- timeouts
Agentcore
Memory Strategy Timeouts
- memory
Id string - ID of the memory to associate with this strategy. Changing this forces a new resource.
- namespaces string[]
Set of namespace identifiers where this strategy applies. Namespaces help organize and scope memory content.
The following arguments are optional:
- type string
- Type of memory strategy. Valid values:
SEMANTIC,SUMMARIZATION,USER_PREFERENCE,CUSTOM. Changing this forces a new resource. Note that only one strategy of each built-in type (SEMANTIC,SUMMARIZATION,USER_PREFERENCE) can exist per memory. - configuration
Agentcore
Memory Strategy Configuration - Custom configuration block. Required when
typeisCUSTOM, must be omitted for other types. Seeconfigurationbelow. - description string
- Description of the memory strategy.
- memory
Execution stringRole Arn - name string
- Name of the memory strategy.
- region string
- Region where this resource will be managed. Defaults to the Region set in the provider configuration.
- timeouts
Agentcore
Memory Strategy Timeouts
- memory_
id str - ID of the memory to associate with this strategy. Changing this forces a new resource.
- namespaces Sequence[str]
Set of namespace identifiers where this strategy applies. Namespaces help organize and scope memory content.
The following arguments are optional:
- type str
- Type of memory strategy. Valid values:
SEMANTIC,SUMMARIZATION,USER_PREFERENCE,CUSTOM. Changing this forces a new resource. Note that only one strategy of each built-in type (SEMANTIC,SUMMARIZATION,USER_PREFERENCE) can exist per memory. - configuration
Agentcore
Memory Strategy Configuration Args - Custom configuration block. Required when
typeisCUSTOM, must be omitted for other types. Seeconfigurationbelow. - description str
- Description of the memory strategy.
- memory_
execution_ strrole_ arn - name str
- Name of the memory strategy.
- region str
- Region where this resource will be managed. Defaults to the Region set in the provider configuration.
- timeouts
Agentcore
Memory Strategy Timeouts Args
- memory
Id String - ID of the memory to associate with this strategy. Changing this forces a new resource.
- namespaces List<String>
Set of namespace identifiers where this strategy applies. Namespaces help organize and scope memory content.
The following arguments are optional:
- type String
- Type of memory strategy. Valid values:
SEMANTIC,SUMMARIZATION,USER_PREFERENCE,CUSTOM. Changing this forces a new resource. Note that only one strategy of each built-in type (SEMANTIC,SUMMARIZATION,USER_PREFERENCE) can exist per memory. - configuration Property Map
- Custom configuration block. Required when
typeisCUSTOM, must be omitted for other types. Seeconfigurationbelow. - description String
- Description of the memory strategy.
- memory
Execution StringRole Arn - name String
- Name of the memory strategy.
- region String
- Region where this resource will be managed. Defaults to the Region set in the provider configuration.
- timeouts Property Map
Outputs
All input properties are implicitly available as output properties. Additionally, the AgentcoreMemoryStrategy resource produces the following output properties:
- Id string
- The provider-assigned unique ID for this managed resource.
- Memory
Strategy stringId
- Id string
- The provider-assigned unique ID for this managed resource.
- Memory
Strategy stringId
- id String
- The provider-assigned unique ID for this managed resource.
- memory
Strategy StringId
- id string
- The provider-assigned unique ID for this managed resource.
- memory
Strategy stringId
- id str
- The provider-assigned unique ID for this managed resource.
- memory_
strategy_ strid
- id String
- The provider-assigned unique ID for this managed resource.
- memory
Strategy StringId
Look up Existing AgentcoreMemoryStrategy Resource
Get an existing AgentcoreMemoryStrategy resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.
public static get(name: string, id: Input<ID>, state?: AgentcoreMemoryStrategyState, opts?: CustomResourceOptions): AgentcoreMemoryStrategy@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
configuration: Optional[AgentcoreMemoryStrategyConfigurationArgs] = None,
description: Optional[str] = None,
memory_execution_role_arn: Optional[str] = None,
memory_id: Optional[str] = None,
memory_strategy_id: Optional[str] = None,
name: Optional[str] = None,
namespaces: Optional[Sequence[str]] = None,
region: Optional[str] = None,
timeouts: Optional[AgentcoreMemoryStrategyTimeoutsArgs] = None,
type: Optional[str] = None) -> AgentcoreMemoryStrategyfunc GetAgentcoreMemoryStrategy(ctx *Context, name string, id IDInput, state *AgentcoreMemoryStrategyState, opts ...ResourceOption) (*AgentcoreMemoryStrategy, error)public static AgentcoreMemoryStrategy Get(string name, Input<string> id, AgentcoreMemoryStrategyState? state, CustomResourceOptions? opts = null)public static AgentcoreMemoryStrategy get(String name, Output<String> id, AgentcoreMemoryStrategyState state, CustomResourceOptions options)resources: _: type: aws:bedrock:AgentcoreMemoryStrategy get: id: ${id}- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- resource_name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- Configuration
Agentcore
Memory Strategy Configuration - Custom configuration block. Required when
typeisCUSTOM, must be omitted for other types. Seeconfigurationbelow. - Description string
- Description of the memory strategy.
- Memory
Execution stringRole Arn - Memory
Id string - ID of the memory to associate with this strategy. Changing this forces a new resource.
- Memory
Strategy stringId - Name string
- Name of the memory strategy.
- Namespaces List<string>
Set of namespace identifiers where this strategy applies. Namespaces help organize and scope memory content.
The following arguments are optional:
- Region string
- Region where this resource will be managed. Defaults to the Region set in the provider configuration.
- Timeouts
Agentcore
Memory Strategy Timeouts - Type string
- Type of memory strategy. Valid values:
SEMANTIC,SUMMARIZATION,USER_PREFERENCE,CUSTOM. Changing this forces a new resource. Note that only one strategy of each built-in type (SEMANTIC,SUMMARIZATION,USER_PREFERENCE) can exist per memory.
- Configuration
Agentcore
Memory Strategy Configuration Args - Custom configuration block. Required when
typeisCUSTOM, must be omitted for other types. Seeconfigurationbelow. - Description string
- Description of the memory strategy.
- Memory
Execution stringRole Arn - Memory
Id string - ID of the memory to associate with this strategy. Changing this forces a new resource.
- Memory
Strategy stringId - Name string
- Name of the memory strategy.
- Namespaces []string
Set of namespace identifiers where this strategy applies. Namespaces help organize and scope memory content.
The following arguments are optional:
- Region string
- Region where this resource will be managed. Defaults to the Region set in the provider configuration.
- Timeouts
Agentcore
Memory Strategy Timeouts Args - Type string
- Type of memory strategy. Valid values:
SEMANTIC,SUMMARIZATION,USER_PREFERENCE,CUSTOM. Changing this forces a new resource. Note that only one strategy of each built-in type (SEMANTIC,SUMMARIZATION,USER_PREFERENCE) can exist per memory.
- configuration
Agentcore
Memory Strategy Configuration - Custom configuration block. Required when
typeisCUSTOM, must be omitted for other types. Seeconfigurationbelow. - description String
- Description of the memory strategy.
- memory
Execution StringRole Arn - memory
Id String - ID of the memory to associate with this strategy. Changing this forces a new resource.
- memory
Strategy StringId - name String
- Name of the memory strategy.
- namespaces List<String>
Set of namespace identifiers where this strategy applies. Namespaces help organize and scope memory content.
The following arguments are optional:
- region String
- Region where this resource will be managed. Defaults to the Region set in the provider configuration.
- timeouts
Agentcore
Memory Strategy Timeouts - type String
- Type of memory strategy. Valid values:
SEMANTIC,SUMMARIZATION,USER_PREFERENCE,CUSTOM. Changing this forces a new resource. Note that only one strategy of each built-in type (SEMANTIC,SUMMARIZATION,USER_PREFERENCE) can exist per memory.
- configuration
Agentcore
Memory Strategy Configuration - Custom configuration block. Required when
typeisCUSTOM, must be omitted for other types. Seeconfigurationbelow. - description string
- Description of the memory strategy.
- memory
Execution stringRole Arn - memory
Id string - ID of the memory to associate with this strategy. Changing this forces a new resource.
- memory
Strategy stringId - name string
- Name of the memory strategy.
- namespaces string[]
Set of namespace identifiers where this strategy applies. Namespaces help organize and scope memory content.
The following arguments are optional:
- region string
- Region where this resource will be managed. Defaults to the Region set in the provider configuration.
- timeouts
Agentcore
Memory Strategy Timeouts - type string
- Type of memory strategy. Valid values:
SEMANTIC,SUMMARIZATION,USER_PREFERENCE,CUSTOM. Changing this forces a new resource. Note that only one strategy of each built-in type (SEMANTIC,SUMMARIZATION,USER_PREFERENCE) can exist per memory.
- configuration
Agentcore
Memory Strategy Configuration Args - Custom configuration block. Required when
typeisCUSTOM, must be omitted for other types. Seeconfigurationbelow. - description str
- Description of the memory strategy.
- memory_
execution_ strrole_ arn - memory_
id str - ID of the memory to associate with this strategy. Changing this forces a new resource.
- memory_
strategy_ strid - name str
- Name of the memory strategy.
- namespaces Sequence[str]
Set of namespace identifiers where this strategy applies. Namespaces help organize and scope memory content.
The following arguments are optional:
- region str
- Region where this resource will be managed. Defaults to the Region set in the provider configuration.
- timeouts
Agentcore
Memory Strategy Timeouts Args - type str
- Type of memory strategy. Valid values:
SEMANTIC,SUMMARIZATION,USER_PREFERENCE,CUSTOM. Changing this forces a new resource. Note that only one strategy of each built-in type (SEMANTIC,SUMMARIZATION,USER_PREFERENCE) can exist per memory.
- configuration Property Map
- Custom configuration block. Required when
typeisCUSTOM, must be omitted for other types. Seeconfigurationbelow. - description String
- Description of the memory strategy.
- memory
Execution StringRole Arn - memory
Id String - ID of the memory to associate with this strategy. Changing this forces a new resource.
- memory
Strategy StringId - name String
- Name of the memory strategy.
- namespaces List<String>
Set of namespace identifiers where this strategy applies. Namespaces help organize and scope memory content.
The following arguments are optional:
- region String
- Region where this resource will be managed. Defaults to the Region set in the provider configuration.
- timeouts Property Map
- type String
- Type of memory strategy. Valid values:
SEMANTIC,SUMMARIZATION,USER_PREFERENCE,CUSTOM. Changing this forces a new resource. Note that only one strategy of each built-in type (SEMANTIC,SUMMARIZATION,USER_PREFERENCE) can exist per memory.
Supporting Types
AgentcoreMemoryStrategyConfiguration, AgentcoreMemoryStrategyConfigurationArgs
- Type string
- Type of custom override. Valid values:
SEMANTIC_OVERRIDE,SUMMARY_OVERRIDE,USER_PREFERENCE_OVERRIDE. Changing this forces a new resource. - Consolidation
Agentcore
Memory Strategy Configuration Consolidation - Consolidation configuration for processing and organizing memory content. See
consolidationbelow. Once added, this block cannot be removed without recreating the resource. - Extraction
Agentcore
Memory Strategy Configuration Extraction - Extraction configuration for identifying and extracting relevant information. See
extractionbelow. Cannot be used withtypeset toSUMMARY_OVERRIDE. Once added, this block cannot be removed without recreating the resource.
- Type string
- Type of custom override. Valid values:
SEMANTIC_OVERRIDE,SUMMARY_OVERRIDE,USER_PREFERENCE_OVERRIDE. Changing this forces a new resource. - Consolidation
Agentcore
Memory Strategy Configuration Consolidation - Consolidation configuration for processing and organizing memory content. See
consolidationbelow. Once added, this block cannot be removed without recreating the resource. - Extraction
Agentcore
Memory Strategy Configuration Extraction - Extraction configuration for identifying and extracting relevant information. See
extractionbelow. Cannot be used withtypeset toSUMMARY_OVERRIDE. Once added, this block cannot be removed without recreating the resource.
- type String
- Type of custom override. Valid values:
SEMANTIC_OVERRIDE,SUMMARY_OVERRIDE,USER_PREFERENCE_OVERRIDE. Changing this forces a new resource. - consolidation
Agentcore
Memory Strategy Configuration Consolidation - Consolidation configuration for processing and organizing memory content. See
consolidationbelow. Once added, this block cannot be removed without recreating the resource. - extraction
Agentcore
Memory Strategy Configuration Extraction - Extraction configuration for identifying and extracting relevant information. See
extractionbelow. Cannot be used withtypeset toSUMMARY_OVERRIDE. Once added, this block cannot be removed without recreating the resource.
- type string
- Type of custom override. Valid values:
SEMANTIC_OVERRIDE,SUMMARY_OVERRIDE,USER_PREFERENCE_OVERRIDE. Changing this forces a new resource. - consolidation
Agentcore
Memory Strategy Configuration Consolidation - Consolidation configuration for processing and organizing memory content. See
consolidationbelow. Once added, this block cannot be removed without recreating the resource. - extraction
Agentcore
Memory Strategy Configuration Extraction - Extraction configuration for identifying and extracting relevant information. See
extractionbelow. Cannot be used withtypeset toSUMMARY_OVERRIDE. Once added, this block cannot be removed without recreating the resource.
- type str
- Type of custom override. Valid values:
SEMANTIC_OVERRIDE,SUMMARY_OVERRIDE,USER_PREFERENCE_OVERRIDE. Changing this forces a new resource. - consolidation
Agentcore
Memory Strategy Configuration Consolidation - Consolidation configuration for processing and organizing memory content. See
consolidationbelow. Once added, this block cannot be removed without recreating the resource. - extraction
Agentcore
Memory Strategy Configuration Extraction - Extraction configuration for identifying and extracting relevant information. See
extractionbelow. Cannot be used withtypeset toSUMMARY_OVERRIDE. Once added, this block cannot be removed without recreating the resource.
- type String
- Type of custom override. Valid values:
SEMANTIC_OVERRIDE,SUMMARY_OVERRIDE,USER_PREFERENCE_OVERRIDE. Changing this forces a new resource. - consolidation Property Map
- Consolidation configuration for processing and organizing memory content. See
consolidationbelow. Once added, this block cannot be removed without recreating the resource. - extraction Property Map
- Extraction configuration for identifying and extracting relevant information. See
extractionbelow. Cannot be used withtypeset toSUMMARY_OVERRIDE. Once added, this block cannot be removed without recreating the resource.
AgentcoreMemoryStrategyConfigurationConsolidation, AgentcoreMemoryStrategyConfigurationConsolidationArgs
- Append
To stringPrompt - Additional text to append to the model prompt for consolidation processing.
- Model
Id string - ID of the foundation model to use for consolidation processing.
- Append
To stringPrompt - Additional text to append to the model prompt for consolidation processing.
- Model
Id string - ID of the foundation model to use for consolidation processing.
- append
To StringPrompt - Additional text to append to the model prompt for consolidation processing.
- model
Id String - ID of the foundation model to use for consolidation processing.
- append
To stringPrompt - Additional text to append to the model prompt for consolidation processing.
- model
Id string - ID of the foundation model to use for consolidation processing.
- append_
to_ strprompt - Additional text to append to the model prompt for consolidation processing.
- model_
id str - ID of the foundation model to use for consolidation processing.
- append
To StringPrompt - Additional text to append to the model prompt for consolidation processing.
- model
Id String - ID of the foundation model to use for consolidation processing.
AgentcoreMemoryStrategyConfigurationExtraction, AgentcoreMemoryStrategyConfigurationExtractionArgs
- Append
To stringPrompt - Additional text to append to the model prompt for extraction processing.
- Model
Id string - ID of the foundation model to use for extraction processing.
- Append
To stringPrompt - Additional text to append to the model prompt for extraction processing.
- Model
Id string - ID of the foundation model to use for extraction processing.
- append
To StringPrompt - Additional text to append to the model prompt for extraction processing.
- model
Id String - ID of the foundation model to use for extraction processing.
- append
To stringPrompt - Additional text to append to the model prompt for extraction processing.
- model
Id string - ID of the foundation model to use for extraction processing.
- append_
to_ strprompt - Additional text to append to the model prompt for extraction processing.
- model_
id str - ID of the foundation model to use for extraction processing.
- append
To StringPrompt - Additional text to append to the model prompt for extraction processing.
- model
Id String - ID of the foundation model to use for extraction processing.
AgentcoreMemoryStrategyTimeouts, AgentcoreMemoryStrategyTimeoutsArgs
- Create string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- Delete string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
- Update string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- Create string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- Delete string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
- Update string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- create String
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- delete String
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
- update String
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- create string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- delete string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
- update string
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- create str
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- delete str
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
- update str
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- create String
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
- delete String
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
- update String
- A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
Import
Using pulumi import, import Bedrock AgentCore Memory Strategy using the memory_id,strategy_id. For example:
$ pulumi import aws:bedrock/agentcoreMemoryStrategy:AgentcoreMemoryStrategy example MEMORY1234567890,STRATEGY0987654321
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- AWS Classic pulumi/pulumi-aws
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
awsTerraform Provider.
