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amazon-bedrock-agent-test-ui
A generic Streamlit UI for testing generative AI agents built using Agents for Amazon Bedrock
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streamlit-project
This repository provides a simple deployment-ready project layout for a Streamlit app. Simply swap out the code in `app.py` for your own and hit deploy!
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Scout Monitoring
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You can find the source code for the test UI in the acwwat/amazon-bedrock-agent-test-ui GitHub repository. The repository structure follows a standard structure as recommended by Mark Douthwaite for Streamlit projects. For a detailed explanation of the structure, refer to the getting started documentation. The only tweak I made is that I put the backend integration code into bedrock_agent_runtime.py in a services directory.
You can find the source code for the test UI in the acwwat/amazon-bedrock-agent-test-ui GitHub repository. The repository structure follows a standard structure as recommended by Mark Douthwaite for Streamlit projects. For a detailed explanation of the structure, refer to the getting started documentation. The only tweak I made is that I put the backend integration code into bedrock_agent_runtime.py in a services directory.
I decided to use Streamlit to build the UI as it is a popular and fitting choice. Streamlit is an open-source Python library used for building interactive web applications specially for AI and data applications. Since the application code is written only in Python, it is easy to learn and build with.
Meanwhile, a developer workflow that does not require access to AWS Management Console may provide a better experience. As a developer, I appreciate having an integrated development environment (IDE) such as Visual Studio Code where I can code, deploy, and test in one place.