This demo originally started out using the code from the Azure AI Agent QuickStart, but has expanded to show different agent tooling features:
- Perform a simple calculation (no tools)
- Make function calls using Function Calling Tools
- Create a function using code interpreter
- Examine a CSV file and create diagrams from it using code interpreter
- Examine a CSV file and provide analysis using code interpreter
- Perform RAG functionality using AI search
- Use real-time public web data using Bing Grounding
- Return usage stats about in/out tokens
To use the demo you'll need to complete the steps in the QuickStart to set up your Azure AI Foundry project. If you'd like to use the AI Search/RAG functionality in the demo, you'll find details about the setup in the AI Search tooling document.
After going through the QuickStart steps (and optionally the AI Search and Bing Grounding tooling setup), perform the following steps:
-
Rename
.env.template
to.env
. -
Assign your Azure AI Foundry connection string, your AI Search and Bing Grounding connection name from Azure AI Foundry, and (optionally) the model deployment name to the
.env
file keys. -
Install the project dependencies:
npm install
-
Start the demo:
npm start