@aws-cdk/aws-bedrock-agentcore-alpha
AgentFreeThe CDK Construct Library for Amazon Bedrock
Capabilities10 decomposed
infrastructure-as-code construct generation for bedrock agents
Medium confidenceGenerates AWS CloudFormation-compatible TypeScript/JavaScript constructs that declaratively define Bedrock agent infrastructure, including agent configuration, action groups, knowledge bases, and model bindings. Uses CDK's L1/L2/L3 construct hierarchy to abstract CloudFormation resources into composable, type-safe components with automatic dependency resolution and stack synthesis.
Provides L2/L3 CDK constructs specifically for Bedrock agents with opinionated defaults for action group binding, knowledge base attachment, and model selection, rather than exposing raw CloudFormation properties like generic CDK libraries do
Enables type-safe, composable agent infrastructure definitions in TypeScript vs CloudFormation YAML, with automatic dependency management and construct reuse patterns built into the CDK ecosystem
action group schema binding and validation
Medium confidenceAutomatically binds Lambda functions and OpenAPI schemas to Bedrock agent action groups, validating schema compatibility and generating function signatures that match agent invocation expectations. Handles schema parsing, parameter extraction, and runtime binding without manual schema duplication or hand-coded function mappings.
Provides bidirectional schema validation between OpenAPI definitions and Lambda function signatures within the CDK construct model, ensuring agent action invocations will succeed before deployment
Catches schema mismatches at construct synthesis time rather than runtime, preventing agent failures due to action group misconfiguration vs manual schema management approaches
knowledge base attachment and retrieval configuration
Medium confidenceConfigures Bedrock agent knowledge base attachments with retrieval parameters, vector database bindings, and chunking strategies. Manages the connection between agents and knowledge bases including retrieval method selection (semantic search, hybrid), chunk size configuration, and result ranking parameters without manual API calls.
Encapsulates knowledge base attachment as a first-class CDK construct with retrieval parameter validation, enabling agents to reference knowledge bases declaratively without manual API orchestration
Provides type-safe knowledge base configuration in code vs manual CloudFormation or AWS Console configuration, with automatic dependency tracking between agents and knowledge bases
model selection and binding with provider abstraction
Medium confidenceAbstracts model selection across multiple Bedrock foundation models (Claude, Llama, Mistral, etc.) with provider-agnostic configuration. Handles model ARN resolution, version pinning, and inference parameter defaults without exposing provider-specific implementation details, allowing agents to switch models by changing a single configuration value.
Provides a provider-agnostic model selection layer that resolves model ARNs and validates inference parameters at construct synthesis time, preventing runtime model binding failures
Enables model switching through configuration vs hardcoded model ARNs, with automatic validation of model availability and inference parameter compatibility
agent prompt and instruction template management
Medium confidenceManages agent system prompts, instruction templates, and behavior definitions as CDK construct properties with variable substitution and validation. Supports prompt composition from multiple sources (inline strings, files, environment variables) and validates prompt syntax before deployment to prevent agent behavior failures.
Treats agent prompts as first-class CDK constructs with file loading, variable substitution, and syntax validation, enabling prompts to be version-controlled and composed alongside infrastructure code
Enables prompt management in code with composition and validation vs manual prompt configuration in AWS Console, with integration into CDK's construct lifecycle
agent lifecycle management and stack synthesis
Medium confidenceManages complete agent lifecycle (creation, update, deletion) through CDK stack synthesis and CloudFormation deployment. Handles agent state transitions, dependency ordering, and cleanup operations automatically, ensuring agents are provisioned in correct order and cleaned up safely when stacks are destroyed.
Integrates agent provisioning into CDK's stack synthesis and CloudFormation deployment model, automatically managing dependency ordering and resource cleanup through standard CDK patterns
Enables agent infrastructure to be managed through CDK's standard stack lifecycle vs manual CloudFormation or AWS Console operations, with automatic dependency resolution
cross-stack agent resource sharing and references
Medium confidenceEnables agent constructs to reference resources from other CDK stacks (Lambda functions, knowledge bases, IAM roles) through cross-stack references and exports. Automatically manages CloudFormation exports and imports, allowing agents to be composed from resources defined in separate stacks without tight coupling.
Implements cross-stack references using CDK's standard export/import mechanism, enabling agent constructs to depend on resources from other stacks without hardcoding ARNs or creating tight coupling
Enables modular agent infrastructure through cross-stack composition vs monolithic single-stack definitions, with automatic CloudFormation export/import management
agent iam permission and role generation
Medium confidenceAutomatically generates IAM roles and policies required for agent execution, including permissions for action group invocation, knowledge base retrieval, and model inference. Follows least-privilege principle by generating minimal required permissions based on agent configuration without requiring manual IAM policy writing.
Derives IAM policies from agent configuration (action groups, knowledge bases, models) and generates minimal required permissions automatically, rather than requiring manual policy writing
Enables least-privilege IAM through automatic policy generation vs manual policy creation, reducing security misconfigurations and permission-related runtime failures
agent configuration validation and type safety
Medium confidenceProvides TypeScript type definitions and runtime validation for agent configuration, catching configuration errors at compile-time and construct synthesis time. Validates required properties, enum values, and constraint violations before CloudFormation deployment, preventing invalid agent configurations from reaching AWS.
Provides comprehensive TypeScript type definitions for agent configuration with runtime validation at construct synthesis time, enabling compile-time error detection for agent misconfigurations
Catches configuration errors at TypeScript compile-time and construct synthesis time vs runtime failures, with IDE autocomplete and documentation support
agent monitoring and logging configuration
Medium confidenceConfigures CloudWatch logging and monitoring for agent execution, including request/response logging, error tracking, and performance metrics. Automatically creates CloudWatch log groups and metric alarms based on agent configuration, enabling observability without manual logging setup.
Automatically provisions CloudWatch logging and alarms as part of agent construct synthesis, enabling observability without separate logging configuration
Enables agent observability through declarative configuration vs manual CloudWatch setup, with automatic log group and alarm creation
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with @aws-cdk/aws-bedrock-agentcore-alpha, ranked by overlap. Discovered automatically through the match graph.
AWS KB Retrieval
** - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
Amazon Bedrock Agents
AWS managed AI agents — action groups, knowledge bases, guardrails, multi-step orchestration.
AWS Bedrock
AWS managed AI service — Claude, Llama, Mistral via unified API with knowledge bases and agents.
lobehub
The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.
AWS CDK
** - Get prescriptive CDK advice, explain CDK Nag rules, check suppressions, generate Bedrock Agent schemas, and discover AWS Solutions Constructs patterns.
agents-shire
AI agent orchestration platform
Best For
- ✓AWS teams building multi-agent systems with Infrastructure-as-Code practices
- ✓DevOps engineers automating Bedrock agent deployment across environments
- ✓Organizations standardizing on CDK for AWS infrastructure management
- ✓Teams building agents with multiple action groups backed by Lambda functions
- ✓Developers who want schema-driven agent action definitions with compile-time validation
- ✓Organizations standardizing on OpenAPI for agent action contracts
- ✓Teams building RAG-enabled agents with document-based knowledge sources
- ✓Organizations managing multiple knowledge bases across agent instances
Known Limitations
- ⚠Alpha/unstable API — breaking changes possible between minor versions
- ⚠Requires understanding of both CDK construct patterns and Bedrock agent concepts
- ⚠Limited to AWS CloudFormation capabilities — cannot express agent behaviors outside CFN scope
- ⚠No built-in agent testing framework — requires separate test harness for agent logic validation
- ⚠Schema validation is static — does not validate runtime behavior or Lambda execution
- ⚠Requires OpenAPI 3.0+ format — older Swagger 2.0 schemas need conversion
Requirements
Input / Output
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The CDK Construct Library for Amazon Bedrock
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