A I A G E N T D E V T O O L S - 0 2 / 2 5 B U I L D I N G A I A P P S W I T H T H E A Z U R E A I A G E N T S E R V I C E Nitya Narasimhan, PhD Senior AI Advocate https://linkedin.com/in/nityan

1. What is an AI Agent? 2. Why use the Azure AI Agent Service? 3. Scenario: Contoso Sales Assistant 4. Setup: Create My First Agent 5. Action: Function Calling (SQL query) 6. Action: Code Interpreter (Python) 7. Knowledge: Document (File Search) 8. Knowledge: Real-Time (Bing Search)

What is an AI Agent? What Can I Use Them For? An AI Agent is semi-autonomous software designed to achieve a given goal without requiring predefined steps or processes. Instead, it determines what to do dynamically. In the Azure AI Foundry platform, an AI Agent acts as a "smart" microservice that can be used to answer questions (RAG), perform actions, or completely automate workflows. Show: Foundry Portal https://aka.ms/aitour/ai-agents-theater-session

What is the Azure AI Agent Service? Why use the Azure AI Agent Service? It is a fully managed service for developers to securely build, deploy, and scale high-quality, and extensible AI agents without having to worry about compute & storage. Streamlined and secure way to build AI agents with automatic tool calling (server-side), securely managed data (conversation state) and rich built-in tools for data, actions, RAG. Show: Documentation https://aka.ms/aitour/ai-agents-theater-session

Scenario: Contoso Sales Assistant Development: Code-First or Low Code A conversational agent designed to answer questions about sales data, generate charts for understanding, and download data files for reporting and analysis – for an enterprise. Create tailored AI agents by using custom instructions, custom functions, and tool-driven augmentations – using either the UI (portal) or the SDK (Python, C#, JS/TS) Show: AI Tour Workshop https://aka.ms/aitour/ai-agents-theater-session

Provision: An Azure AI Foundry Project Create: My Contoso Sales Assistant Configure project client with connection string. Then use it to create agent with name, model, tools and instructions and specify any tool-related resources required. Show: Azure AI Project A standard agent using Managed Identity for authentication – with key vault, storage, and AI Services (e.g., AI model deployment) along with AI hub and project resources. https://aka.ms/aitour/ai-agents-theater-session

Action Tool: Function Calling Use Case: Query My SQLite Database Function calling enables LLMs to interact with external systems, execute tasks, and integrate with APIs. Define a function, add it Function Tool toolset. It gets invoked for you. Enable function logic to execute dynamic SQL queries against a SQLite database in 3 steps. Define function, add function to agent toolset, update agent instructions to trigger tool use. Demo 1: Answer Query https://aka.ms/aitour/ai-agents-theater-session

Action Tool: Code Interpreter (Python) Use Case: Visualize result as a chart Code interpreter allows agents to write and run Python code in a sandboxed execution environment. Agents can be configured to try different iterations (on failure) till it succeeds. ”Show sales by region as a pie chart” – first runs basic function call to get SQL results, then writes Python code to visualize data and store it in a local file for user viewing. Demo 2: Create Charts https://aka.ms/aitour/ai-agents-theater-session

Knowledge Tool: File Search Use Case: Grounding with Documents ”Chat with your data” – the agent can answer questions on information found in uploaded files. It uses built-in vector store capability to parse and index information for later retrieval. Uses the File Search tool to retrieve relevant information to enable RAG-style search on a PDF file with product data. Tool uses a vector store with built-in semantic search capability. Demo 3: Use PDF Data https://aka.ms/aitour/ai-agents-theater-session

Knowledge Tool: … Bing Search Use Case: Grounding in Real Time data The Grounding with Bing Search tool allows you to incorporate real-time public web data in returned responses. Create the resource & connect it. Agent decides if & when to use it Provide instructions to agent to use tool for competitive insights and present concisely. We can’t access raw content but use and display requirements include query link & citations. Demo 4: Search Results https://aka.ms/aitour/ai-agents-theater-session

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Open-Source Curriculum Self-Guided Workshop https://aka.ms/aitour/wrk552 https://aka.ms/ai-agents-beginners Self-Guided Learning