| Name | google-adk JSON |
| Version |
1.7.0
JSON |
| download |
| home_page | None |
| Summary | Agent Development Kit |
| upload_time | 2025-07-16 22:39:54 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | None |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Agent Development Kit (ADK)
[](LICENSE)
[](https://github.com/google/adk-python/actions/workflows/python-unit-tests.yml)
[](https://www.reddit.com/r/agentdevelopmentkit/)
[](https://deepwiki.com/google/adk-python)
<html>
<h2 align="center">
<img src="https://raw.githubusercontent.com/google/adk-python/main/assets/agent-development-kit.png" width="256"/>
</h2>
<h3 align="center">
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
</h3>
<h3 align="center">
Important Links:
<a href="https://google.github.io/adk-docs/">Docs</a>,
<a href="https://github.com/google/adk-samples">Samples</a>,
<a href="https://github.com/google/adk-java">Java ADK</a> &
<a href="https://github.com/google/adk-web">ADK Web</a>.
</h3>
</html>
Agent Development Kit (ADK) is a flexible and modular framework for developing and deploying AI agents. While optimized for Gemini and the Google ecosystem, ADK is model-agnostic, deployment-agnostic, and is built for compatibility with other frameworks. ADK was designed to make agent development feel more like software development, to make it easier for developers to create, deploy, and orchestrate agentic architectures that range from simple tasks to complex workflows.
---
## ✨ Key Features
- **Rich Tool Ecosystem**: Utilize pre-built tools, custom functions,
OpenAPI specs, or integrate existing tools to give agents diverse
capabilities, all for tight integration with the Google ecosystem.
- **Code-First Development**: Define agent logic, tools, and orchestration
directly in Python for ultimate flexibility, testability, and versioning.
- **Modular Multi-Agent Systems**: Design scalable applications by composing
multiple specialized agents into flexible hierarchies.
- **Deploy Anywhere**: Easily containerize and deploy agents on Cloud Run or
scale seamlessly with Vertex AI Agent Engine.
## 🤖 Agent2Agent (A2A) Protocol and ADK Integration
For remote agent-to-agent communication, ADK integrates with the
[A2A protocol](https://github.com/google-a2a/A2A/).
See this [example](https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents)
for how they can work together.
## 🚀 Installation
### Stable Release (Recommended)
You can install the latest stable version of ADK using `pip`:
```bash
pip install google-adk
```
The release cadence is weekly.
This version is recommended for most users as it represents the most recent official release.
### Development Version
Bug fixes and new features are merged into the main branch on GitHub first. If you need access to changes that haven't been included in an official PyPI release yet, you can install directly from the main branch:
```bash
pip install git+https://github.com/google/adk-python.git@main
```
Note: The development version is built directly from the latest code commits. While it includes the newest fixes and features, it may also contain experimental changes or bugs not present in the stable release. Use it primarily for testing upcoming changes or accessing critical fixes before they are officially released.
## 📚 Documentation
Explore the full documentation for detailed guides on building, evaluating, and
deploying agents:
* **[Documentation](https://google.github.io/adk-docs)**
## 🏁 Feature Highlight
### Define a single agent:
```python
from google.adk.agents import Agent
from google.adk.tools import google_search
root_agent = Agent(
name="search_assistant",
model="gemini-2.0-flash", # Or your preferred Gemini model
instruction="You are a helpful assistant. Answer user questions using Google Search when needed.",
description="An assistant that can search the web.",
tools=[google_search]
)
```
### Define a multi-agent system:
Define a multi-agent system with coordinator agent, greeter agent, and task execution agent. Then ADK engine and the model will guide the agents works together to accomplish the task.
```python
from google.adk.agents import LlmAgent, BaseAgent
# Define individual agents
greeter = LlmAgent(name="greeter", model="gemini-2.0-flash", ...)
task_executor = LlmAgent(name="task_executor", model="gemini-2.0-flash", ...)
# Create parent agent and assign children via sub_agents
coordinator = LlmAgent(
name="Coordinator",
model="gemini-2.0-flash",
description="I coordinate greetings and tasks.",
sub_agents=[ # Assign sub_agents here
greeter,
task_executor
]
)
```
### Development UI
A built-in development UI to help you test, evaluate, debug, and showcase your agent(s).
<img src="https://raw.githubusercontent.com/google/adk-python/main/assets/adk-web-dev-ui-function-call.png"/>
### Evaluate Agents
```bash
adk eval \
samples_for_testing/hello_world \
samples_for_testing/hello_world/hello_world_eval_set_001.evalset.json
```
## 🤝 Contributing
We welcome contributions from the community! Whether it's bug reports, feature requests, documentation improvements, or code contributions, please see our
- [General contribution guideline and flow](https://google.github.io/adk-docs/contributing-guide/).
- Then if you want to contribute code, please read [Code Contributing Guidelines](./CONTRIBUTING.md) to get started.
## 📄 License
This project is licensed under the Apache 2.0 License - see the [LICENSE](LICENSE) file for details.
---
*Happy Agent Building!*
Raw data
{
"_id": null,
"home_page": null,
"name": "google-adk",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.9",
"maintainer_email": null,
"keywords": null,
"author": null,
"author_email": "Google LLC <googleapis-packages@google.com>",
"download_url": "https://files.pythonhosted.org/packages/0e/66/9f8e03226c6205e4ae9472e19f8470db6ecdadc1cfd2ad683e60bb7a8f95/google_adk-1.7.0.tar.gz",
"platform": null,
"description": "# Agent Development Kit (ADK)\n\n[](LICENSE)\n[](https://github.com/google/adk-python/actions/workflows/python-unit-tests.yml)\n[](https://www.reddit.com/r/agentdevelopmentkit/)\n[](https://deepwiki.com/google/adk-python)\n\n<html>\n <h2 align=\"center\">\n <img src=\"https://raw.githubusercontent.com/google/adk-python/main/assets/agent-development-kit.png\" width=\"256\"/>\n </h2>\n <h3 align=\"center\">\n An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.\n </h3>\n <h3 align=\"center\">\n Important Links:\n <a href=\"https://google.github.io/adk-docs/\">Docs</a>, \n <a href=\"https://github.com/google/adk-samples\">Samples</a>,\n <a href=\"https://github.com/google/adk-java\">Java ADK</a> &\n <a href=\"https://github.com/google/adk-web\">ADK Web</a>.\n </h3>\n</html>\n\nAgent Development Kit (ADK) is a flexible and modular framework for developing and deploying AI agents. While optimized for Gemini and the Google ecosystem, ADK is model-agnostic, deployment-agnostic, and is built for compatibility with other frameworks. ADK was designed to make agent development feel more like software development, to make it easier for developers to create, deploy, and orchestrate agentic architectures that range from simple tasks to complex workflows.\n\n\n---\n\n## \u2728 Key Features\n\n- **Rich Tool Ecosystem**: Utilize pre-built tools, custom functions,\n OpenAPI specs, or integrate existing tools to give agents diverse\n capabilities, all for tight integration with the Google ecosystem.\n\n- **Code-First Development**: Define agent logic, tools, and orchestration\n directly in Python for ultimate flexibility, testability, and versioning.\n\n- **Modular Multi-Agent Systems**: Design scalable applications by composing\n multiple specialized agents into flexible hierarchies.\n\n- **Deploy Anywhere**: Easily containerize and deploy agents on Cloud Run or\n scale seamlessly with Vertex AI Agent Engine.\n\n## \ud83e\udd16 Agent2Agent (A2A) Protocol and ADK Integration\n\nFor remote agent-to-agent communication, ADK integrates with the\n[A2A protocol](https://github.com/google-a2a/A2A/).\nSee this [example](https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents)\nfor how they can work together.\n\n## \ud83d\ude80 Installation\n\n### Stable Release (Recommended)\n\nYou can install the latest stable version of ADK using `pip`:\n\n```bash\npip install google-adk\n```\n\nThe release cadence is weekly.\n\nThis version is recommended for most users as it represents the most recent official release.\n\n### Development Version\nBug fixes and new features are merged into the main branch on GitHub first. If you need access to changes that haven't been included in an official PyPI release yet, you can install directly from the main branch:\n\n```bash\npip install git+https://github.com/google/adk-python.git@main\n```\n\nNote: The development version is built directly from the latest code commits. While it includes the newest fixes and features, it may also contain experimental changes or bugs not present in the stable release. Use it primarily for testing upcoming changes or accessing critical fixes before they are officially released.\n\n## \ud83d\udcda Documentation\n\nExplore the full documentation for detailed guides on building, evaluating, and\ndeploying agents:\n\n* **[Documentation](https://google.github.io/adk-docs)**\n\n## \ud83c\udfc1 Feature Highlight\n\n### Define a single agent:\n\n```python\nfrom google.adk.agents import Agent\nfrom google.adk.tools import google_search\n\nroot_agent = Agent(\n name=\"search_assistant\",\n model=\"gemini-2.0-flash\", # Or your preferred Gemini model\n instruction=\"You are a helpful assistant. Answer user questions using Google Search when needed.\",\n description=\"An assistant that can search the web.\",\n tools=[google_search]\n)\n```\n\n### Define a multi-agent system:\n\nDefine a multi-agent system with coordinator agent, greeter agent, and task execution agent. Then ADK engine and the model will guide the agents works together to accomplish the task.\n\n```python\nfrom google.adk.agents import LlmAgent, BaseAgent\n\n# Define individual agents\ngreeter = LlmAgent(name=\"greeter\", model=\"gemini-2.0-flash\", ...)\ntask_executor = LlmAgent(name=\"task_executor\", model=\"gemini-2.0-flash\", ...)\n\n# Create parent agent and assign children via sub_agents\ncoordinator = LlmAgent(\n name=\"Coordinator\",\n model=\"gemini-2.0-flash\",\n description=\"I coordinate greetings and tasks.\",\n sub_agents=[ # Assign sub_agents here\n greeter,\n task_executor\n ]\n)\n```\n\n### Development UI\n\nA built-in development UI to help you test, evaluate, debug, and showcase your agent(s).\n\n<img src=\"https://raw.githubusercontent.com/google/adk-python/main/assets/adk-web-dev-ui-function-call.png\"/>\n\n### Evaluate Agents\n\n```bash\nadk eval \\\n samples_for_testing/hello_world \\\n samples_for_testing/hello_world/hello_world_eval_set_001.evalset.json\n```\n\n## \ud83e\udd1d Contributing\n\nWe welcome contributions from the community! Whether it's bug reports, feature requests, documentation improvements, or code contributions, please see our\n- [General contribution guideline and flow](https://google.github.io/adk-docs/contributing-guide/).\n- Then if you want to contribute code, please read [Code Contributing Guidelines](./CONTRIBUTING.md) to get started.\n\n## \ud83d\udcc4 License\n\nThis project is licensed under the Apache 2.0 License - see the [LICENSE](LICENSE) file for details.\n\n---\n\n*Happy Agent Building!*\n\n",
"bugtrack_url": null,
"license": null,
"summary": "Agent Development Kit",
"version": "1.7.0",
"project_urls": {
"changelog": "https://github.com/google/adk-python/blob/main/CHANGELOG.md",
"documentation": "https://google.github.io/adk-docs/",
"homepage": "https://google.github.io/adk-docs/",
"repository": "https://github.com/google/adk-python"
},
"split_keywords": [],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "db3ffd6c0780ff34531d3f4cd1551db206a2f9906fadee6d6f0cd3c83fb63521",
"md5": "4d5696226a65bc50cd1368b2449c42f4",
"sha256": "924bb7d65771ae6c03e0ab64d4e3a3a4d0fb02682faeb7735c2be302adade94c"
},
"downloads": -1,
"filename": "google_adk-1.7.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "4d5696226a65bc50cd1368b2449c42f4",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.9",
"size": 1750509,
"upload_time": "2025-07-16T22:39:52",
"upload_time_iso_8601": "2025-07-16T22:39:52.825094Z",
"url": "https://files.pythonhosted.org/packages/db/3f/fd6c0780ff34531d3f4cd1551db206a2f9906fadee6d6f0cd3c83fb63521/google_adk-1.7.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "0e669f8e03226c6205e4ae9472e19f8470db6ecdadc1cfd2ad683e60bb7a8f95",
"md5": "2e9283e23955ff8c8a3ed9fd901a7aab",
"sha256": "1bb86371e794e9ec73e0cc45bca529512862ecb5cd57132e77262b0de3f88dec"
},
"downloads": -1,
"filename": "google_adk-1.7.0.tar.gz",
"has_sig": false,
"md5_digest": "2e9283e23955ff8c8a3ed9fd901a7aab",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.9",
"size": 1560499,
"upload_time": "2025-07-16T22:39:54",
"upload_time_iso_8601": "2025-07-16T22:39:54.278992Z",
"url": "https://files.pythonhosted.org/packages/0e/66/9f8e03226c6205e4ae9472e19f8470db6ecdadc1cfd2ad683e60bb7a8f95/google_adk-1.7.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-07-16 22:39:54",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "google",
"github_project": "adk-python",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "google-adk"
}
