📄️ 01 - Overview
Learn how to design, orchestrate, and deploy multi-agent systems with Logic Apps — covering agent orchestration patterns, state and error management, authentication, and integration with existing deployment workflows.
📄️ 02 - Implement the prompt chaining pattern
Learn how to implement the prompt chaining pattern in Azure Logic Apps — building sequential agent workflows with validation gates, error handling, and performance monitoring to reliably decompose and process complex tasks.
📄️ 03 - Implement the parallelization pattern
Learn how to implement the parallelization pattern with Azure Logic Apps — designing, orchestrating, and deploying concurrent multi-agent workflows with aggregation, fault tolerance, and performance optimization.
📄️ 04 - Implement the routing pattern
Learn how to implement the routing pattern with Azure Logic Apps — classifying inputs and directing them to specialized workflows with confidence thresholds, fallbacks, and monitoring to ensure reliable, scalable processing.
📄️ 05 - Implement the evaluator-optimizer pattern
Learn how to implement the evaluator-optimizer pattern in Azure Logic Apps — building iterative optimizer/evaluator agent workflows with feedback loops, evaluation criteria, and convergence controls to continuously improve output quality.
📄️ 06 - Implement the orchestrator-workers pattern
Learn how to implement the orchestrator-workers pattern in Azure Logic Apps — dynamically decomposing complex tasks, delegating subtasks to specialized worker agents, and aggregating results for scalable, parallel, and reliable processing.
📄️ 07 - Implement the Handoff pattern
Learn how to implement the handoff pattern in Azure Logic Apps — orchestrating seamless transitions between specialized agents while preserving context, enabling escalation, and ensuring reliable fallbacks and monitoring.