📄️ 01 - Introduction
Learn how to build a conversational agent in Azure Logic Apps (Standard), connect it to an Azure OpenAI model, and add its first tool.
📄️ 02 - Create your resource group
Create the Azure resource group that will contain all services provisioned during the Logic Apps Agent in a Day workshop.
📄️ 03 - Enable your OpenAI model
Provision Azure OpenAI and deploy the GPT-4.1 model for use with a Logic Apps Agent Loop.
📄️ 04 - Setup your ServiceNow developer Sandbox
Set up a ServiceNow developer instance and configure OAuth for Logic Apps integration.
📄️ 05 - Provision your Logic Apps (Standard)
Provision a Logic Apps (Standard) instance to host and run agent workflows.
📄️ 06 - Setup your knowledge base
Create an Azure Storage account and upload an operational runbook for agent knowledge retrieval.
📄️ 07 - Create your agent loop workflow
Build a conversational Agent Loop workflow and configure model, system instructions, channels, and first tool.
📄️ 08 - Create the 'ServiceNow Create Incident' tool
Build a stateful workflow tool that creates ServiceNow incidents for agent-driven automation.
📄️ 09 - Add the 'ServiceNow Create Incident' tool to your agent
Add the ServiceNow Create Incident workflow as a callable tool in the Agent Loop.
📄️ 10 - Create the 'ServiceNow Update Incident' tool
Build a stateful workflow tool to update ServiceNow incidents and enable agent work note recording.
📄️ 11 - Add the 'ServiceNow Update Incident' tool to your agent
Add the ServiceNow Update Incident workflow as a tool for logging work notes via the Agent Loop.
📄️ 12 - Create the 'ServiceNow Close Incident' tool
Build a stateful workflow tool to close ServiceNow incidents with resolution notes.
📄️ 13 - Add the 'ServiceNow Close Incident' tool to your agent
Add the ServiceNow Close Incident workflow as a tool for automated closure with resolution notes.
📄️ 14 - Challenge activities
Extend the agent solution with email notifications, autonomous execution, and knowledge base updates.