Does it support human-in-the-loop workflows?

Yes, it includes built-in support for tool confirmation flows, allowing humans to approve or reject agent actions before they are executed.

What is Google ADK Python?

Google ADK Python is an open-source, code-first toolkit designed for building, evaluating, and deploying AI agents with advanced tool integration and orchestration capabilities.

Can I build multi-agent systems with this skill?

Yes, it supports complex multi-agent architectures including hierarchical coordination, sequential workflows, and parallel execution for specialized tasks.

Which models are compatible with Google ADK?

The toolkit is optimized for the Gemini family (Flash and Pro versions) but is designed to be model-agnostic, supporting various LLM providers through standard APIs.

Where can I deploy agents created with this toolkit?

Agents can be deployed to Vertex AI Agent Engine for managed scaling, containerized for Cloud Run, or hosted on any custom infrastructure.

Google ADK Python

Name: Google ADK Python
Author: CongDon1207

byCongDon1207

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Ciencia de Datos y ML

Builds, evaluates, and deploys code-first AI agents and multi-agent systems using Google's Agent Development Kit.

Acerca de

This skill provides expert guidance for Google's Agent Development Kit (ADK) Python, an open-source toolkit designed for building sophisticated AI agents with robust tool integration and orchestration. It enables developers to implement dynamic LlmAgents for adaptive tasks and structured Workflow Agents for predictable pipelines, supporting hierarchical multi-agent architectures, custom Python tool creation, and seamless deployment to Google Cloud's Vertex AI or Cloud Run infrastructure.

Características Principales

Multi-agent orchestration including hierarchical, sequential, and parallel patterns
1 GitHub stars
Human-in-the-loop approval mechanisms for secure tool execution
Seamless integration with Google Search, Code Execution, and custom Python tools
Pre-built workflow agents for predictable pipeline execution and loops
Native deployment support for Vertex AI Agent Engine and Cloud Run

Casos de Uso

Building multi-agent coding assistants with automated debugging and code execution
Creating automated customer support systems with dynamic query routing and tool-use
Developing research assistants that combine web search, summarization, and reporting

Acerca de

Características Principales

Multi-agent orchestration including hierarchical, sequential, and parallel patterns
1 GitHub stars
Human-in-the-loop approval mechanisms for secure tool execution
Seamless integration with Google Search, Code Execution, and custom Python tools
Pre-built workflow agents for predictable pipeline execution and loops
Native deployment support for Vertex AI Agent Engine and Cloud Run

Casos de Uso

Building multi-agent coding assistants with automated debugging and code execution
Creating automated customer support systems with dynamic query routing and tool-use
Developing research assistants that combine web search, summarization, and reporting