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google-adk 2.3.0

pip install google-adk

Latest release

Released:

Agent Development Kit

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  • License: Apache Software License
  • Author: Google LLC
  • Requires: Python >=3.10
  • Provides-Extra: a2a , agent-identity , all , antigravity , community , db , dev , docs , e2b , eval , extensions , gcp , mcp , otel-gcp , slack , test , toolbox , tools

Project description

Agent Development Kit (ADK) 2.0

๐Ÿ‘ License
๐Ÿ‘ PyPI version
๐Ÿ‘ Python versions
๐Ÿ‘ PyPI downloads
๐Ÿ‘ Unit Tests
๐Ÿ‘ Docs

๐Ÿ‘ Image

An open-source, code-first Python framework for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Important Links: Docs, Samples & ADK Web.


โš ๏ธ BREAKING CHANGES FROM 1.x

This release includes breaking changes to the agent API, event model, and session schema. Sessions generated by ADK 2.0 are readable by ADK 1.28+ (extra fields will be ignored), but are incompatible with older 1.x versions.


๐Ÿ”ฅ What's New in 2.0

  • Workflow Runtime: A graph-based execution engine for composing deterministic execution flows for agentic apps, with support for routing, fan-out/fan-in, loops, retry, state management, dynamic nodes, human-in-the-loop, and nested workflows.

  • Task API: Structured agent-to-agent delegation with multi-turn task mode, single-turn controlled output, mixed delegation patterns, human-in-the-loop, and task agents as workflow nodes.

๐Ÿš€ Installation

pipinstallgoogle-adk

Requirements: Python 3.10+.

To install optional integrations, you can use the following command:

pipinstall"google-adk[extensions]"

The release cadence is roughly bi-weekly.

Quick Start

Beginner Note: ADK applications are built using two main classes: Agent (defines an AI's instructions, tools, and behavior) and Workflow (orchestrates agents and tasks in a graph-based flow).

Agent

fromgoogle.adkimport Agent

root_agent = Agent(
 name="greeting_agent",
 model="gemini-2.5-flash",
 instruction="You are a helpful assistant. Greet the user warmly.",
)

Workflow

fromgoogle.adkimport Agent, Workflow

generate_fruit_agent = Agent(
 name="generate_fruit_agent",
 instruction="Return the name of a random fruit. Return only the name.",
)

generate_benefit_agent = Agent(
 name="generate_benefit_agent",
 instruction="Tell me a health benefit about the specified fruit.",
)

root_agent = Workflow(
 name="root_agent",
 edges=[("START", generate_fruit_agent, generate_benefit_agent)],
)

Run Locally

# Interactive CLI
adkrunpath/to/my_agent

# Web UI (supports multi-agent directories or pointing directly to a single agent folder)
adkwebpath/to/agents_dir

๐Ÿ“š Documentation

๐Ÿค Contributing

See CONTRIBUTING.md for details.

๐Ÿ“„ License

This project is licensed under the Apache 2.0 License โ€” see the LICENSE file for details.

Project details

Verified details

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๐Ÿ‘ Avatar for vertex_ai from gravatar.com
vertex_ai

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Project links
Meta
  • License: Apache Software License
  • Author: Google LLC
  • Requires: Python >=3.10
  • Provides-Extra: a2a , agent-identity , all , antigravity , community , db , dev , docs , e2b , eval , extensions , gcp , mcp , otel-gcp , slack , test , toolbox , tools

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