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Joe Fernandez
b947bc849f
* Phase 1: ADK Onboarding journey revision - Quickstart: split by language and reduce time - Build your agent: new section for agent building - Home page: Simplify onboarding choices - Surface "About ADK" in navigation * Updates from first review round and Java research - completely revised Java quickstart * further updates from review * more review updates --------- Co-authored-by: Kristopher Overholt <koverholt@gmail.com>
28 lines
1.4 KiB
Markdown
28 lines
1.4 KiB
Markdown
# Build a streaming agent
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The Agent Development Kit (ADK) enables real-time, interactive experiences with your AI agents through streaming. This allows for features like live voice conversations, real-time tool use, and continuous updates from your agent.
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This page provides quickstart examples to get you up and running with streaming capabilities in both Python and Java ADK.
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<div class.="grid cards" markdown>
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- :fontawesome-brands-python:{ .lg .middle } **Python ADK: Streaming agent**
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---
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This example demonstrates how to set up a basic streaming interaction with an agent using Python ADK. It typically involves using the `Runner.run_live()` method and handling asynchronous events.
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[:octicons-arrow-right-24: View Python Streaming Quickstart](quickstart-streaming.md) <br>
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<!-- [:octicons-arrow-right-24: View Python Streaming Quickstart](python/quickstart-streaming.md) -->
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<!-- This comment forces a block separation -->
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- :fontawesome-brands-java:{ .lg .middle } **Java ADK: Streaming agent**
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---
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This example demonstrates how to set up a basic streaming interaction with an agent using Java ADK. It involves using the `Runner.runLive()` method, a `LiveRequestQueue`, and handling the `Flowable<Event>` stream.
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[:octicons-arrow-right-24: View Java Streaming Quickstart](quickstart-streaming-java.md) <br>
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<!-- [:octicons-arrow-right-24: View Java Streaming Quickstart](java/quickstart-streaming-java.md)) -->
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</div>
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