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README

Dapr Quickstarts and Tutorials

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If you are new to Dapr and haven't done so already, it is recommended you go through the Dapr Getting Started instructions.

Quickstarts

Pick a building block API (for example, PubSub, state management, etc) and rapidly try it out in your favorite language SDK (recommended), or via HTTP. Visit the Dapr Docs Quickstarts Guide for a comprehensive walkthrough of each example.

Dapr Quickstart Description
Workflow Dapr Workflow enables you to create long running, fault-tolerant, stateful applications
AI Create AI agents and apps that are durable, fault-tolerant with built-in synchronous and asynchronous messaging
Publish and Subscribe Asynchronous communication between two services using messaging
AI Agentic building blocks including durable workflows, eventing, authentication and state persistence
Service Invocation Synchronous communication between two services using HTTP
State Management Store a service's data as key/value pairs in supported state stores
Bindings Work with external systems using input bindings to respond to events and output bindings to call operations
Secrets Management Securely fetch secrets
Actors Create stateful, long running objects with identity
Configuration Get configuration items as key/value pairs or subscribe to changes whenever a configuration item changes
Cryptography Perform cryptographic operations without exposing keys to your application
Resiliency Define and apply fault-tolerant policies (retries/back-offs, timeouts and circuit breakers) to your Dapr API requests
Jobs Dapr Jobs enable you to manage and schedule tasks

Tutorials

Go deeper into a topic or scenario, oftentimes using building block APIs together to solve problems (for example, build a distributed calculator, build and deploy an app to Kubernetes).

Tutorials Description
Hello-world Demonstrates how to run Dapr locally. Highlights service invocation and state management.
Hello-kubernetes Demonstrates how to run Dapr in Kubernetes. Highlights service invocation and state management.
Distributed-calculator Demonstrates a distributed calculator application that uses Dapr services to power a React web app. Highlights polyglot (multi-language) programming, service invocation and state management.
Pub-sub Demonstrates how to use Dapr to enable pub-sub applications. Uses Redis as a pub-sub component.
Bindings Demonstrates how to use Dapr to create input and output bindings to other components. Uses bindings to Kafka.
Observability Demonstrates Dapr tracing capabilities. Uses Zipkin as a tracing component.
Secret Store Demonstrates the use of Dapr Secrets API to access secret stores.
Workflow Demonstrates how to author and manage Dapr workflows. Includes workflow patterns, resiliency, and common challenges & tips.

Development

Updating sdk versions

  • Python: make update_python_sdk_version [DAPR_VERSION=1.16.0] [FASTAPI_VERSION=1.16.0] [WORKFLOW_VERSION=1.16.0]
  • Go: make update_gosdk_version VERSION=v1.16.0
  • C#: make update_dotnet_sdk_version VERSION=1.15.0
  • Java: make update_java_sdk_version VERSION=1.12.0
  • Javascript: make update_javascript_sdk_version VERSION=3.4.0

Validating all the quickstarts

To run the samples, you need to have Dapr installed. Follow the Getting Started guide to install Dapr.

  • Python: make test_python_quickstarts
  • Go: make test_go_quickstarts
  • Java: make test_java_quickstarts
  • JS: make test_javascript_quickstarts
  • C#: make test_csharp_quickstarts
  • All quickstarts: make test_all_quickstarts

Validating a single quickstart

Navigate to the quickstart directory and run make validate.

cd conversation/python/sdk
make validate

Code of Conduct

Please refer to our Dapr Community Code of Conduct

Extension points exported contracts — how you extend this code

Core symbols most depended-on inside this repo

Shape

Method 504
Class 415
Function 297
Route 44
Struct 26
Interface 2

Languages

Java43%
Python22%
C#19%
TypeScript8%
Go7%

Modules by API surface

workflows/javascript/sdk/order-processor/model.ts33 symbols
workflows/python/sdk/order-processor/model.py17 symbols
tutorials/workflow/python/combined-patterns/workflow_app/models.py17 symbols
tutorials/workflow/java/history-propagation/src/main/java/io/dapr/springboot/examples/historypropagation/models/PatientRecord.java15 symbols
AI/workflows/external_system_interaction/gemini/app.py15 symbols
AI/workflows/external_system_interaction/openai/app.py14 symbols
AI/workflows/external_system_interaction/anthropic/app.py14 symbols
tutorials/workflow/python/workflow-management/workflow_management/app.py13 symbols
jobs/python/sdk/job-service/app.py11 symbols
workflows/java/sdk/order-processor/src/main/java/io/dapr/quickstarts/workflows/models/PaymentRequest.java10 symbols
workflows/csharp/sdk/order-processor/Workflows/OrderProcessingWorkflow.cs10 symbols
tutorials/workflow/java/history-propagation/src/main/java/io/dapr/springboot/examples/historypropagation/models/PrescriptionResult.java10 symbols

For agents

$ claude mcp add quickstarts \
  -- python -m otcore.mcp_server <graph>

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