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Jacob Alber
39e071c430
* feat: Make Executor id field mandatory When checkpointing is involved, it is critical to keep executor ids consistent between runs, even when recreating a new object tree for the workflow. The default id-setting mechanism generated a guid for part of the id, making it not work when restoring from a checkpoint. This change prevents this situation from arising. * feat: Enable running untyped Workflows With the change to enable delay-instantiation of executors and support for async Executor factory methods, we must instantiate the starting executor to know what are the valid input types for the workflow. To avoid forcing instantiation every time, and to better support workflows with multiple input types, we enable support for build and interacting with the base Workflow type without type annotations, and remove the requirement to know a valid input type when initiating a run. * feat: Support Output from any executor and multiple outputs.
39e071c430
ยท
2025-09-25 02:03:22 +00:00
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Workflow Getting Started Samples
The getting started with workflow samples demonstrate the fundamental concepts and functionalities of workflows in Agent Framework.
Samples Overview
Foundational Concepts - Start Here
Please begin with the Foundational samples in order. These three samples introduce the core concepts of executors, edges, agents in workflows, streaming, and workflow construction.
The folder name starts with an underscore (
_Foundational) to ensure it appears first in the explorer view.
| Sample | Concepts |
|---|---|
| Executors and Edges | Minimal workflow with basic executors and edges |
| Streaming | Extends workflows with event streaming |
| Agents | Use agents in workflows |
| Agentic Workflow Patterns | Demonstrates common agentic workflow patterns |
| Multi-Service Workflows | Shows using multiple AI services in the same workflow |
Once completed, please proceed to other samples listed below.
Note that you don't need to follow a strict order after the foundational samples. However, some samples build upon concepts from previous ones, so it's beneficial to be aware of the dependencies.
Agents
| Sample | Concepts |
|---|---|
| Foundry Agents in Workflows | Demonstrates using Azure Foundry Agents within a workflow |
| Custom Agent Executors | Shows how to create a custom agent executor for more complex scenarios |
| Workflow as an Agent | Illustrates how to encapsulate a workflow as an agent |
Concurrent Execution
| Sample | Concepts |
|---|---|
| Fan-Out and Fan-In | Introduces parallel processing with fan-out and fan-in patterns |
Loop
| Sample | Concepts |
|---|---|
| Looping | Shows how to create a loop within a workflow |
Workflow Shared States
| Sample | Concepts |
|---|---|
| Shared States | Demonstrates shared states between executors for data sharing and coordination |
Conditional Edges
| Sample | Concepts |
|---|---|
| Edge Conditions | Introduces conditional edges for dynamic routing based on executor outputs |
| Switch-Case Routing | Extends conditional edges with switch-case routing for multiple paths |
| Multi-Selection Routing | Demonstrates multi-selection routing where one executor can trigger multiple downstream executors |
These 3 samples build upon each other. It's recommended to explore them in sequence to fully grasp the concepts.
Declarative Workflows
| Sample | Concepts |
|---|---|
| DeclarativeWorkflow | Demonstrates execution of declartive workflows. |
Checkpointing
| Sample | Concepts |
|---|---|
| Checkpoint and Resume | Introduces checkpoints for saving and restoring workflow state for time travel purposes |
| Checkpoint and Rehydrate | Demonstrates hydrating a new workflow instance from a saved checkpoint |
| Checkpoint with Human-in-the-Loop | Combines checkpointing with human-in-the-loop interactions |
Human-in-the-Loop
| Sample | Concepts |
|---|---|
| Basic Human-in-the-Loop | Introduces human-in-the-loop interaction using input ports and external requests |