chore: import upstream snapshot with attribution
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# ADK Workflow Routing Sample
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## Overview
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This sample demonstrates how to use routing in **ADK Workflows**.
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It takes user input and uses an LLM node to categorize it as a **question**, a **statement**, or **other**. Based on the classification, it appropriately routes the execution to a specialized agent or function to handle that specific type of input.
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In ADK Workflows, **routing** allows conditionally executing different execution paths based on the output of a previous node.
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## Sample Inputs
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- `What is the capital of France?`
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- `The weather is very nice today.`
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- `Translate bonjour to english`
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## Graph
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```mermaid
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graph TD
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START --> process_input
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process_input --> classify_input
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classify_input --> route_on_category
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route_on_category -->|question| answer_question
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route_on_category -->|statement| comment_on_statement
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route_on_category -->|other| handle_other
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```
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## How To
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1. A node (agent or function) yields an `Event` with a specific route name:
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```python
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yield Event(route="your_route_name")
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```
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1. In the `Workflow` edges definition, conditional edges are constructed using a routing map dict as the second element of the edge tuple:
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```python
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(source_node, {"your_route_name": target_node})
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```
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