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169 lines
4.4 KiB
Markdown
169 lines
4.4 KiB
Markdown
# Python Quickstart for ADK
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This guide shows you how to get up and running with Agent Development Kit
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(ADK) for Python. Before you start, make sure you have the following installed:
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* Python 3.10 or later
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* `pip` for installing packages
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## Installation
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Install ADK by running the following command:
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```shell
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pip install google-adk
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```
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??? tip "Recommended: create and activate a Python virtual environment"
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Create a Python virtual environment:
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```shell
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python3 -m venv .venv
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```
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Activate the Python virtual environment:
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=== "Windows Command Prompt"
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```console
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.venv\Scripts\activate.bat
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```
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=== "Windows PowerShell"
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```console
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.venv\Scripts\Activate.ps1
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```
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=== "MacOS / Linux"
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```bash
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source .venv/bin/activate
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```
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## Create an agent project
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Run the `adk create` command to start a new agent project.
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```shell
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adk create my_agent
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```
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### Explore the agent project
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The created agent project has the following structure, with the `agent.py`
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file containing the main control code for the agent.
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```none
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my_agent/
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agent.py # main agent code
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.env # API keys or project IDs
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__init__.py
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```
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## Update your agent project
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The `agent.py` file contains a `root_agent` definition which is the only
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required element of an ADK agent. You can also define tools for the agent to
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use. Update the generated `agent.py` code to include a `get_current_time` tool
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for use by the agent, as shown in the following code:
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```python
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from google.adk.agents.llm_agent import Agent
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# Mock tool implementation
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def get_current_time(city: str) -> dict:
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"""Returns the current time in a specified city."""
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return {"status": "success", "city": city, "time": "10:30 AM"}
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root_agent = Agent(
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model='gemini-flash-latest',
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name='root_agent',
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description="Tells the current time in a specified city.",
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instruction="You are a helpful assistant that tells the current time in cities. Use the 'get_current_time' tool for this purpose.",
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tools=[get_current_time],
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)
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```
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### Set your API key
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This project uses the Gemini API, which requires an API key. If you
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don't already have Gemini API key, create a key in Google AI Studio on the
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[API Keys](https://aistudio.google.com/app/apikey) page.
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In a terminal window, write your API key into an `.env` file as an environment variable:
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=== "MacOS / Linux"
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```bash title="Update: my_agent/.env"
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echo 'GOOGLE_API_KEY="YOUR_API_KEY"' > .env
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```
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=== "Windows PowerShell"
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```console title="Update: my_agent/.env"
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echo 'GOOGLE_API_KEY="YOUR_API_KEY"' > .env
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```
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=== "Windows Command Prompt"
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```console title="Update: my_agent/.env"
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echo GOOGLE_API_KEY="YOUR_API_KEY" > .env
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```
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??? tip "Using other AI models with ADK"
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ADK supports the use of many generative AI models. For more
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information on configuring other models in ADK agents, see
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[Models & Authentication](/agents/models).
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## Run your agent
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You can run your ADK agent with an interactive command-line interface using the
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`adk run` command or the ADK web user interface provided by the ADK using the
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`adk web` command. Both these options allow you to test and interact with your
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agent.
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### Run with command-line interface
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Run your agent using the `adk run` command-line tool.
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```console
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adk run my_agent
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```
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### Run with web interface
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The ADK framework provides web interface you can use to test and interact with
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your agent. You can start the web interface using the following command:
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```console
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adk web --port 8000
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```
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!!! note
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Run this command from the **parent directory** that contains your
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`my_agent/` folder. For example, if your agent is inside `agents/my_agent/`,
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run `adk web` from the `agents/` directory.
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This command starts a web server with a chat interface for your agent. You can
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access the web interface at `http://localhost:8000`. Select the agent at the
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upper left corner and type a request.
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!!! warning "Caution: ADK Web for development only"
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ADK Web is ***not meant for use in production deployments***. You should
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use ADK Web for development and debugging purposes only.
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## Next: Build your agent
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Now that you have ADK installed and your first agent running, try building
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your own agent with our build guides:
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* [Build your agent](/tutorials/)
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