Kristopher Overholt
3.4 KiB
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Agent Development Kit
Build, evaluate, and deploy sophisticated AI agents with code-first flexibility!
Agent Development Kit (ADK) is an open-source, code-first Python toolkit designed to simplify building, evaluating, and deploying advanced AI agents anywhere. It's designed for developers building AI applications or teams needing to rapidly prototype and deploy robust agent-based solutions.
Get started:
pip install google-adk
Quickstart Tutorial Sample Agents API Reference
Why Agent Development Kit?
ADK empowers developers seeking control and flexibility. Based on Google's internal best practices for production agents, it prioritizes a seamless developer experience integrated with standard coding workflows. Define agent behavior, orchestration, and tool use directly in Python, enabling robust debugging, versioning, and deployment.
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:material-transit-connection-variant: Flexible Orchestration
Define workflows using workflow agents (
Sequential,Parallel,Loop) for predictable pipelines, or leverage LLM-driven dynamic routing (LlmAgenttransfer) for adaptive behavior. -
:material-graph: Multi-Agent Architecture
Build modular and scalable applications by composing multiple specialized agents in a hierarchy. Enable complex coordination and delegation.
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:material-toolbox-outline: Rich Tool Ecosystem
Equip agents with diverse capabilities: use pre-built tools (Search, Code Exec), create custom functions, integrate 3rd-party libraries (LangChain, CrewAI), or even use other agents as tools.
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:material-rocket-launch-outline: Deployment Ready
Containerize and deploy your agents anywhere – run locally, scale with Vertex AI Agent Engine, or integrate into custom infrastructure using Cloud Run or Docker.
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:material-clipboard-check-outline: Built-in Evaluation
Systematically assess agent performance by evaluating both the final response quality and the step-by-step execution trajectory against predefined test cases.
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:material-console-line: Building Responsible Agents
Learn how to building powerful and trustworthy agents by implementing responsible AI patterns and best practices into your agent's design.