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* Clean up of runtime tutorials * Clean up of runtime tutorials * Adding streaming example * Adding handling context example * adding handling payloads example * adding handling payloads example
Hosting Strands Agents with OpenAI models in Amazon Bedrock AgentCore Runtime
Overview
In this tutorial we will learn how to host your existing agent, using Amazon Bedrock AgentCore Runtime.
We will focus on a Strands Agents with OpenAI model example. For Strands Agents with Amazon Bedrock model check here and for LangGraph with Amazon Bedrock model check here
Tutorial details
Information | Details |
---|---|
Tutorial type | Conversational |
Agent type | Single |
Agentic Framework | Strands Agents |
LLM model | GPT 4.1 mini |
Tutorial components | Hosting agent on AgentCore Runtime. Using Strands Agent and OpenAI Model |
Tutorial vertical | Cross-vertical |
Example complexity | Easy |
SDK used | Amazon BedrockAgentCore Python SDK and boto3 |
Tutorial Architecture
In this tutorial we will describe how to deploy an existing agent to AgentCore runtime.
For demonstration purposes, we will use a Strands Agent using Amazon Bedrock models
In our example we will use a very simple agent with two tools: get_weather
and get_time
.
Tutorial key Features
- Hosting Agents on Amazon Bedrock AgentCore Runtime
- Using OpenAI models
- Using Strands Agents