Explore a comprehensive collection of samples for building durable, fault-tolerant workflows with Azure Durable Task Scheduler . Whether you're just getting started or building advanced AI agents, there's a sample for you.
Prerequisites: Most samples require Docker to run the Durable Task Scheduler emulator locally. See each sample's README for specific setup instructions.
New to Durable Task Scheduler? Start with the Function Chaining sample in your preferred language:
A quick-reference matrix showing which patterns are available in each language and framework.
Pattern
.NET
Python
Java
JavaScript
Function Chaining
✅ ✅ ✅ ✅
Fan-out/Fan-in
✅ ✅ ✅ ✅
Human Interaction
✅ ✅ ✅
Async HTTP API
✅ ✅
Monitoring
✅ ✅ ✅
Sub-orchestrations
✅ ✅ ✅
Eternal Orchestrations
✅ ✅ ✅
Saga Pattern
✅
Durable Entities
✅ ✅
Orchestration Versioning
✅ ✅
ASP.NET Web API
✅
Scheduled Tasks
✅
.NET Aspire Integration
✅
AI Agent Chaining
✅
AI Research Agent
✅
Large Payload
✅
Pattern
.NET
Python
Java
JavaScript
Hello Cities (Quickstart)
✅ ✅ ✅
Fan-out/Fan-in
✅ ✅ ✅
Order Processor
✅
Saga Pattern
✅
Distributed Tracing
✅
Large Payload
✅
Large Payload Fan-out/Fan-in
✅
PDF Summarizer
✅ ✅
AI Travel Planner
✅
Aspire Integration
✅
Sample
Pattern
Description
Function Chaining Function Chaining
Sequential workflow basics with JavaScript SDK
Fan-out/Fan-in Fan-out/Fan-in
Parallel execution and result aggregation with JavaScript SDK
Sample
Pattern
Description
Hello Cities Quickstart
Basic orchestration with 3 activities
Order Processor Order Workflow
End-to-end order processing workflow
Saga Pattern Saga
Compensating transactions for distributed operations
Aspire Integration Aspire
Azure Functions + DTS with Aspire
Large Payload Large Payload
Single round-trip orchestration that externalizes payloads larger than 1 MB to blob storage
Large Payload Fan-out/Fan-in Large Payload
Parallel orchestration that externalizes payloads larger than 1 MB for each activity result
PDF Summarizer AI Pipeline
AI-powered document processing pipeline
AI Travel Planner AI Agents
Multi-agent travel planning orchestration
Distributed Tracing Observability
Distributed tracing with Application Insights and Jaeger
Sample
Pattern
Description
PDF Summarizer AI Pipeline
AI-powered PDF summarization
Fan-out/Fan-in Fan-out/Fan-in
Parallel processing with result aggregation
Sample
Pattern
Description
Hello Cities Function Chaining, Fan-out/Fan-in
Java quickstart with sequential and parallel orchestration patterns
Sample
Pattern
Description
Hello Cities Function Chaining, Fan-out/Fan-in
JavaScript quickstart with sequential and parallel orchestration patterns
Durable Extension for Microsoft Agent Framework The Durable Task extension for Microsoft Agent Framework lets you make any Microsoft Agent Framework agent durable with persistent sessions, built-in API endpoints, and distributed scaling — without changes to your agent logic. It also supports graph-based workflows via WorkflowBuilder.
Setup: These samples live in the microsoft/agent-framework repo and are included here via a Git submodule. Run git submodule update --init external/agent-framework after cloning.
📂 Full details and sample index →
Durable MAF Workflows (.NET)
Sample
Hosting
Description
Sequential Azure Functions
Order cancellation pipeline: look up → cancel → notify
Concurrent Azure Functions
Fan-out to multiple expert agents, fan-in to aggregate
Human-in-the-Loop Azure Functions
Expense reimbursement with multi-stage approvals
Sequential Console App
Sequential executor pipeline
Conditional Edges Console App
Runtime routing based on conditions
Sample
Description
Autoscaling in ACA KEDA-based dynamic worker scaling in Azure Container Apps
Want to add your own sample? See the Contributing Guide for guidelines on sample structure, documentation, and submission.