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Amazon Bedrock Agent Samples

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Description

Example Jupyter notebooks 📓 and code scripts 💻 for using Amazon Bedrock Agents 🤖 and its functionalities

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Amazon Bedrock Agent Samples 

:wave: :wave: Welcome to the Amazon Bedrock Agent Samples repository :wave: :wave:

[!CAUTION] The examples provided in this repository are for experimental and educational purposes only. They demonstrate concepts and techniques but are not intended for direct use in production environments. Make sure to have Amazon Bedrock Guardrails in place to protect against [prompt injection](https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-injection.html).

This repository provides examples and best practices for working with [Amazon Bedrock Agents](https://aws.amazon.com/bedrock/agents/).

Amazon Bedrock Agents enables you to automate complex workflows, build robust and scalable end-to-end solutions from experimentation to production and quickly adapt to new models and experiments.

With [Amazon Bedrock multi-agent collaboration](https://docs.aws.amazon.com/bedrock/latest/userguide/agents-multi-agents-collaboration.html) you can plan and execute complex tasks across agents using supervisor mode. You can also have unified conversations across agents with built-in intent classification using the supervisor with routing mode and fallback to supervisor mode when a single intention cannot be detected. Amazon Bedrock Agents provides you with traces to observe your agents' behavior across multi-agent flows and provides guardrails, security and privacy that are standard across Amazon Bedrock features.

![architecture](https://github.com/awslabs/amazon-bedrock-agent-samples/blob/main/images/architecture.gif?raw=true)

Demo Video


This one-hour video takes you through a deep dive introduction to Amazon Bedrock multi-agent collaboration, including a pair of demos, and a walkthrough of Unifying cust