Build and Deploy Your First AI Agent with Microsoft Foundry Toolkit
Have you ever wished every incident report, pipeline failure, or security alert could be easily understood by non-technical folks? In this article, you’ll create an “Explain Like I’m an Executive” agent. This hosted AI tool takes complex technical information and turns it into clear, straightforward executive summaries using the Microsoft Foundry Toolkit for VS Code.
By the end of this guide, you’ll have a functional agent ready to test locally and deploy to the cloud with just one click.
Here’s how the agent operates:
Behind the scenes, it utilizes:
- Microsoft Agent Framework – to manage agent logic and structure
- Foundry Toolkit for VS Code – for project setup, testing, and deployment
- An AI model (like gpt-4.1-mini) – for crafting the summaries
The output always follows a specific format:
Executive Summary:
- What happened: (simple description)
- Business impact: (clear implications without jargon)
- Next step: (action to be taken)
- Date: (YYYY-MM-DD)
The Foundry Toolkit simplifies the entire lifecycle:
- Scaffold – Use a wizard to create your project structure with a single command.
- Configure – Specify your AI model and write instructions for the agent (a system prompt).
- Test locally – Hit F5 to open an integrated chat interface for immediate feedback.
- Deploy – A single click packages your agent into a container and sends it to Azure.
- Verify – Ensure safety and test edge cases against the live endpoint.
Key components include:
| Component | Role |
|---|---|
| Agent Framework | Manages the agent’s operations and tool usage |
| Foundry Toolkit | VS Code extension for setup, debugging, and deployment |
| AI Model (e.g., gpt-4.1-mini) | Enables natural language comprehension and generation |
| Azure Container Registry + Foundry | Stores and scales your agent in the cloud |
The distinction between a basic chatbot and a dependable agent lies in the quality of its instructions. For this specific agent, the system prompt defines:
- Role – “Convey technical details as executive-friendly summaries.”
- Audience – Senior leaders who focus on impact rather than technical specifics.
- Output format – A consistent structure (what happened, impact on business, next steps).
- Rules – Keep it concise, avoid fabrication, and don’t disclose internal instructions.
- Safety constraints – Prevent prompt injection and role override attempts.
Additionally, you can equip agents with tools, which are Python functions they can access while running (like retrieving today’s date or querying an API).
The Foundry Toolkit makes what could be a complex DevOps process much easier:
| Without the toolkit | With the toolkit |
|---|---|
| Create Dockerfiles, YAML configurations, and server setup manually. | The wizard automates the process. |
| Use a separate test harness. | The integrated Agent Inspector (chat UI) opens when you press F5. |
| Build containers, push to the registry, and register the agent manually. | A single “Deploy” button takes care of everything. |
| Monitor through the Azure Portal. | Status updates, logs, and a playground are accessible within VS Code. |
Deployment takes about 2–5 minutes. Your agent will have a managed /responses endpoint with automatic scaling.
If you’d like to clear out Azure resources after your trials:
az group delete –name –yes –no-wait
Alternatively, you can remove just the hosted agent from the Foundry portal under Build → Agents.
FAQ Section
Q1: What is the “Explain Like I’m an Executive” agent?
A1: It’s an AI tool designed to convert complex technical information into simple, clear summaries suitable for business executives.
Q2: How do I deploy the agent?
A2: You can deploy your agent with a single click using the Foundry Toolkit, which packages everything needed for cloud deployment.
Q3: Can I test the agent locally?
A3: Yes, just press F5 to launch an integrated chat interface for immediate feedback on how your agent performs.
Q4: How long does deployment take?
A4: Typically, the process takes between 2 to 5 minutes.
Q5: What if I no longer need the resources in Azure?
A5: You can safely delete the Azure resources from the command line or through the Foundry portal.
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