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Kristopher Overholt
113 lines
3.4 KiB
Markdown
113 lines
3.4 KiB
Markdown
---
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hide:
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- toc
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---
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<div style="text-align: center;">
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<div class="centered-logo-text-group">
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<img src="assets/agent-development-kit.png" alt="Agent Development Kit Logo" width="100">
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<h1>Agent Development Kit</h1>
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</div>
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</div>
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<p style="text-align:center; font-size: 1.2em;">
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<b>Build, evaluate, and deploy sophisticated AI agents with code-first flexibility!</b>
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</p>
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<p style="text-align:center;"> Agent Development Kit (ADK) is an
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open-source, code-first Python toolkit designed to simplify building,
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evaluating, and deploying advanced AI agents anywhere. It's designed for
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developers building AI applications or teams needing to rapidly prototype and
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deploy robust agent-based solutions.</p>
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<div class="install-command-container">
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<p style="text-align:center;">
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Get started:
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<br/>
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<code>pip install google-adk</code>
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</p>
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</div>
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<p style="text-align:center;">
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<a href="get-started/quickstart/" class="md-button">Quickstart</a>
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<a href="get-started/tutorial/" class="md-button">Tutorial</a>
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<a href="http://github.com/google/adk-samples" class="md-button" target="_blank">Sample Agents</a>
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<a href="api-reference/" class="md-button">API Reference</a>
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</p>
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<!-- [TODO: Placeholder for diagram] -->
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---
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## Why Agent Development Kit?
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ADK empowers developers seeking control and flexibility. Based on Google's
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internal best practices for production agents, it prioritizes a seamless
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developer experience integrated with standard coding workflows. Define agent
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behavior, orchestration, and tool use directly in Python, enabling robust
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debugging, versioning, and deployment.
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<div class="grid cards" markdown>
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- :material-transit-connection-variant: **Flexible Orchestration**
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---
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Define workflows using workflow agents (`Sequential`, `Parallel`, `Loop`)
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for predictable pipelines, or leverage LLM-driven dynamic routing
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(`LlmAgent` transfer) for adaptive behavior.
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[**Learn about agents**](agents/index.md)
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- :material-graph: **Multi-Agent Architecture**
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---
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Build modular and scalable applications by composing multiple specialized
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agents in a hierarchy. Enable complex coordination and delegation.
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[**Explore multi-agent systems**](agents/multi-agents.md)
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- :material-toolbox-outline: **Rich Tool Ecosystem**
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---
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Equip agents with diverse capabilities: use pre-built tools (Search, Code
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Exec), create custom functions, integrate 3rd-party libraries (LangChain,
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CrewAI), or even use other agents as tools.
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[**Browse tools**](tools/index.md)
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- :material-rocket-launch-outline: **Deployment Ready**
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---
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Containerize and deploy your agents anywhere – run locally, scale with
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Vertex AI Agent Engine, or integrate into custom infrastructure using Cloud
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Run or Docker.
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[**Deploy agents**](deploy/index.md)
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- :material-clipboard-check-outline: **Built-in Evaluation**
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---
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Systematically assess agent performance by evaluating both the final
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response quality and the step-by-step execution trajectory against
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predefined test cases.
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[**Evaluate agents**](guides/evaluate-agents.md)
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- :material-console-line: **Building Responsible Agents**
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---
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Learn how to building powerful and trustworthy agents by implementing
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responsible AI patterns and best practices into your agent's design.
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[**Responsible agents**](guides/responsible-agents.md)
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</div>
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<div class="footer"></div>
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