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AWS Bedrock Agents & AgentCore

Anthropic Claude integration via AWS Bedrock, AgentCore orchestration architecture, custom subagent development, and reusable skills libraries

Anthropic AI Tooling Package

Deliverables

Bedrock AgentCore Architecture

Production-ready multi-agent orchestration system using AWS Bedrock Agents with Claude models

  • -Multi-agent coordination patterns (supervisor, router, parallel execution)
  • -Skills library for common workflows (data extraction, API integrations, document processing)
  • -Knowledge base integration with vector search and retrieval
  • -AWS Bedrock Guardrails configuration: content filtering, denied topics, PII detection, contextual grounding

Custom Subagent Development

Domain-specific subagents built for your business workflows with tool-calling and memory

  • -Document analysis agents with structured extraction (invoices, contracts, reports)
  • -Customer support agents with CRM integration and escalation logic
  • -Code review and documentation agents for engineering workflows
  • -Research and analysis agents with web search and synthesis capabilities

Claude Code Plugin Marketplace

Production-ready plugins and skills for Claude Code CLI to accelerate AI-assisted development

  • -AWS deployment automation (Lambda, ECS, Bedrock configuration)
  • -Agentic workflow patterns (memory, routing, tool orchestration)
  • -Integration templates for common services (databases, APIs, storage)
  • -Custom skills tailored to your team's development patterns

Agent Observability & Optimization

Monitoring, logging, and performance optimization for production agent systems

  • -CloudWatch dashboards for agent execution metrics and costs
  • -Trace logging for multi-agent interactions and debugging
  • -A/B testing framework for prompt and tool optimization
  • -Cost allocation tracking per agent and workflow

Key Questions

(13 questions)
01

Are Anthropic Claude models integrated via AWS Bedrock for production AI workloads?

02

Is there an agent orchestration architecture (AgentCore, LangGraph, custom) for multi-agent workflows?

03

Are subagents designed with clear delegation patterns and tool-calling capabilities?

04

Is there a library of reusable skills that agents can invoke for common tasks?

05

Are agent interactions logged and traced for debugging and optimization?

06

Is memory persistence configured for agents to maintain context across sessions?

07

Are knowledge bases integrated with vector search for retrieval-augmented generation?

08

Are AWS Bedrock Guardrails configured with content filtering, denied topics, PII detection, and contextual grounding?

09

Is LLM security testing performed (prompt injection, jailbreak attempts, cost attacks)?

10

Is cost tracking per agent/workflow configured to optimize spend?

11

Are Claude Code plugins or similar tooling used to accelerate development workflows?

12

Is there a systematic approach to prompt engineering for agent behaviors?

13

Are agent systems designed for observability with metrics, logs, and traces?

Artifacts To Review

AWS Bedrock Agent configurations and IAM policies
AgentCore or LangGraph orchestration code
Custom subagent implementations with tool definitions
Skills library repository with documentation
Knowledge base configurations (OpenSearch, vector stores)
Guardrails policies and testing results
CloudWatch dashboards for agent monitoring
Claude Code plugins repository (if applicable)
Prompt templates and versioning system
Agent execution logs and trace examples
Cost allocation reports for agent operations

Sample Outputs

Bedrock AgentCore Implementation Guide

Complete architecture documentation with code examples for building multi-agent systems on AWS

Format: Technical guide with Terraform/CDK templates and Python/TypeScript code

Custom Subagent Suite

Domain-specific agents tailored to your workflows with tool integrations and testing framework

Format: Code repository with deployment scripts and usage documentation

Claude Code Plugin Marketplace

Production-ready plugins showcasing AWS and agentic workflow expertise

Format: GitHub repository with skills, examples, and VHS demo recordings

Agent Observability Dashboard

CloudWatch or Grafana dashboard tracking agent execution, costs, and performance metrics

Format: Live dashboard with setup documentation and alerting rules

Maturity Levels

Emerging

Basic Claude API usage with single-agent patterns, no orchestration or memory

Developing

AWS Bedrock integration with simple agents, limited tool-calling, manual coordination

Defined

Multi-agent orchestration with AgentCore/LangGraph, skills library, knowledge base integration, basic observability

Advanced

Production-grade agent systems with sophisticated coordination, extensive skills library, guardrails, comprehensive monitoring, and cost optimization

> Start Assessment

Get AWS Bedrock Agents & AgentCore Insights

Schedule a discovery call to discuss how this assessment can help your organization. Fractional CAIO clients receive this module included in their retainer.