In this tutorial we will learn how to host your existing agent, using Amazon Bedrock AgentCore Runtime.
We will focus on a LangGraph with Amazon Bedrock model example. For Strands Agents with Amazon Bedrock model check here and for a Strands Agents with an OpenAI model check here.
| Information | Details |
|---|---|
| Tutorial type | Conversational |
| Agent type | Single |
| Agentic Framework | LangGraph |
| LLM model | Anthropic Claude Sonnet 3.7 |
| Tutorial components | Hosting agent on AgentCore Runtime. Using LangGraph and Amazon Bedrock Model |
| Tutorial vertical | Cross-vertical |
| Example complexity | Easy |
| SDK used | Amazon BedrockAgentCore Python SDK and boto3 |
In this tutorial we will describe how to deploy an existing agent to AgentCore runtime.
For demonstration purposes, we will use a LangGraph agent using Amazon Bedrock models
In our example we will use a very simple agent with two tools: get_weather and get_time.
- Hosting Agents on Amazon Bedrock AgentCore Runtime
- Using Amazon Bedrock models
- Using LangGraph
