

# Scenarios for Amazon Bedrock Agents Runtime using AWS SDKs
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The following code examples show you how to implement common scenarios in Amazon Bedrock Agents Runtime with AWS SDKs. These scenarios show you how to accomplish specific tasks by calling multiple functions within Amazon Bedrock Agents Runtime or combined with other AWS services. Each scenario includes a link to the complete source code, where you can find instructions on how to set up and run the code. 

Scenarios target an intermediate level of experience to help you understand service actions in context.

**Topics**
+ [Create and invoke a flow](bedrock-agent-runtime_example_bedrock-agent_GettingStartedWithBedrockFlows_section.md)
+ [Orchestrate generative AI applications with Step Functions](bedrock-agent-runtime_example_cross_ServerlessPromptChaining_section.md)

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for Amazon Bedrock. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query bedrock` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).
