📄️ 01 - Add parameters to your tools
Learn how to add and configure agent parameters, monitor/debug their generation and use in a Logic Apps conversational agent using run history, chat transcripts, tool calls, and model inputs/outputs.
📄️ 02 - Extend your tool functionality with patterns
Learn how to extend tool functionality in Logic Apps conversational agents using patterns such as mocking with compose actions, multi-action tool branches, guardrails, and output transformation to improve testing, safety, and formatting.
📄️ 03 - Add knowledge to your agentic workflow
Learn how to add custom knowledge to your Azure Logic Apps agentic workflows.
📄️ 04 - Add knowledge to your agentic workflow using RAG techniques
Learn how to add custom knowledge to your Azure Logic Apps agentic workflows using retrieval-augmented generation.
📄️ 05 - Add knowledge to your agentic workflow using AI Search integrated vectorization
Learn how to add custom knowledge to your Azure Logic Apps agentic workflows using AI search integrated vectorization.
📄️ 06 - Extend your tools with code
Learn how to extend the functionality of your Azure Logic Apps workflows and agents with built-in tools.
📄️ 07 - Add security filters for agentic workflow knowledge trimming
Learn how to trim search results using security filters in Azure Logic Apps workflows.
📄️ 08 - Integrate Agent Loops with API Management AI Gateway
Learn how to integrate external AI models and local models with Azure Logic Apps using APIM AI Gateway and VNET integration.