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@pulumi/aws

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A Pulumi package for creating and managing Amazon Web Services (AWS) cloud resources.

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"use strict"; // *** WARNING: this file was generated by pulumi-language-nodejs. *** // *** Do not edit by hand unless you're certain you know what you are doing! *** Object.defineProperty(exports, "__esModule", { value: true }); exports.AgentcoreMemoryStrategy = void 0; const pulumi = require("@pulumi/pulumi"); const utilities = require("../utilities"); /** * 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 `CUSTOM` strategies are allowed (subject to the total limit of 6) * * ## Example Usage * * ### Semantic Strategy * * ```typescript * 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"], * }); * ``` * * ### Summarization Strategy * * ```typescript * 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}"], * }); * ``` * * ### User Preference Strategy * * ```typescript * 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"], * }); * ``` * * ### Custom Strategy with Semantic Override * * ```typescript * 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", * }, * }, * }); * ``` * * ### Custom Strategy with Summary Override * * ```typescript * 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", * }, * }, * }); * ``` * * ### Custom Strategy with User Preference Override * * ```typescript * 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 * * Using `pulumi import`, import Bedrock AgentCore Memory Strategy using the `memory_id,strategy_id`. For example: * * ```sh * $ pulumi import aws:bedrock/agentcoreMemoryStrategy:AgentcoreMemoryStrategy example MEMORY1234567890,STRATEGY0987654321 * ``` */ class AgentcoreMemoryStrategy extends pulumi.CustomResource { /** * Get an existing AgentcoreMemoryStrategy resource's state with the given name, ID, and optional extra * properties used to qualify the lookup. * * @param name The _unique_ name of the resulting resource. * @param id The _unique_ provider ID of the resource to lookup. * @param state Any extra arguments used during the lookup. * @param opts Optional settings to control the behavior of the CustomResource. */ static get(name, id, state, opts) { return new AgentcoreMemoryStrategy(name, state, { ...opts, id: id }); } /** * Returns true if the given object is an instance of AgentcoreMemoryStrategy. This is designed to work even * when multiple copies of the Pulumi SDK have been loaded into the same process. */ static isInstance(obj) { if (obj === undefined || obj === null) { return false; } return obj['__pulumiType'] === AgentcoreMemoryStrategy.__pulumiType; } constructor(name, argsOrState, opts) { let resourceInputs = {}; opts = opts || {}; if (opts.id) { const state = argsOrState; resourceInputs["configuration"] = state?.configuration; resourceInputs["description"] = state?.description; resourceInputs["memoryExecutionRoleArn"] = state?.memoryExecutionRoleArn; resourceInputs["memoryId"] = state?.memoryId; resourceInputs["memoryStrategyId"] = state?.memoryStrategyId; resourceInputs["name"] = state?.name; resourceInputs["namespaces"] = state?.namespaces; resourceInputs["region"] = state?.region; resourceInputs["timeouts"] = state?.timeouts; resourceInputs["type"] = state?.type; } else { const args = argsOrState; if (args?.memoryId === undefined && !opts.urn) { throw new Error("Missing required property 'memoryId'"); } if (args?.namespaces === undefined && !opts.urn) { throw new Error("Missing required property 'namespaces'"); } if (args?.type === undefined && !opts.urn) { throw new Error("Missing required property 'type'"); } resourceInputs["configuration"] = args?.configuration; resourceInputs["description"] = args?.description; resourceInputs["memoryExecutionRoleArn"] = args?.memoryExecutionRoleArn; resourceInputs["memoryId"] = args?.memoryId; resourceInputs["name"] = args?.name; resourceInputs["namespaces"] = args?.namespaces; resourceInputs["region"] = args?.region; resourceInputs["timeouts"] = args?.timeouts; resourceInputs["type"] = args?.type; resourceInputs["memoryStrategyId"] = undefined /*out*/; } opts = pulumi.mergeOptions(utilities.resourceOptsDefaults(), opts); super(AgentcoreMemoryStrategy.__pulumiType, name, resourceInputs, opts); } } exports.AgentcoreMemoryStrategy = AgentcoreMemoryStrategy; /** @internal */ AgentcoreMemoryStrategy.__pulumiType = 'aws:bedrock/agentcoreMemoryStrategy:AgentcoreMemoryStrategy'; //# sourceMappingURL=agentcoreMemoryStrategy.js.map