---
title: "Python Quickstart (Local)"
type: docs
weight: 2
description: >
  How to get started running Toolbox locally with [Python](https://github.com/googleapis/mcp-toolbox-sdk-python), PostgreSQL, and  [Agent Development Kit](https://google.github.io/adk-docs/),
  [LangGraph](https://www.langchain.com/langgraph), [LlamaIndex](https://www.llamaindex.ai/) or [GoogleGenAI](https://pypi.org/project/google-genai/).
---

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/googleapis/genai-toolbox/blob/main/docs/en/getting-started/colab_quickstart.ipynb)

## Before you begin

This guide assumes you have already done the following:

1. Installed [Python 3.9+][install-python] (including [pip][install-pip] and
   your preferred virtual environment tool for managing dependencies e.g. [venv][install-venv]).
1. Installed [PostgreSQL 16+ and the `psql` client][install-postgres].

### Cloud Setup (Optional)
{{< regionInclude "quickstart/shared/cloud_setup.md" "cloud_setup" >}}

## Step 1: Set up your database
{{< regionInclude "quickstart/shared/database_setup.md" "database_setup" >}}

## Step 2: Install and configure Toolbox
{{< regionInclude "quickstart/shared/configure_toolbox.md" "configure_toolbox" >}}

## Step 3: Connect your agent to Toolbox

In this section, we will write and run an agent that will load the Tools
from Toolbox.

{{< notice tip>}} If you prefer to experiment within a Google Colab environment,
you can connect to a
[local runtime](https://research.google.com/colaboratory/local-runtimes.html).
{{< /notice >}}

1. In a new terminal, install the SDK package.

    {{< tabpane persist=header >}}
{{< tab header="ADK" lang="bash" >}}

pip install toolbox-core
{{< /tab >}}
{{< tab header="Langchain" lang="bash" >}}

pip install toolbox-langchain
{{< /tab >}}
{{< tab header="LlamaIndex" lang="bash" >}}

pip install toolbox-llamaindex
{{< /tab >}}
{{< tab header="Core" lang="bash" >}}

pip install toolbox-core
{{< /tab >}}
{{< /tabpane >}}

1. Install other required dependencies:

    {{< tabpane persist=header >}}
{{< tab header="ADK" lang="bash" >}}

pip install google-adk
{{< /tab >}}
{{< tab header="Langchain" lang="bash" >}}

# TODO(developer): replace with correct package if needed

pip install langgraph langchain-google-vertexai

# pip install langchain-google-genai

# pip install langchain-anthropic

{{< /tab >}}
{{< tab header="LlamaIndex" lang="bash" >}}

# TODO(developer): replace with correct package if needed

pip install llama-index-llms-google-genai

# pip install llama-index-llms-anthropic

{{< /tab >}}
{{< tab header="Core" lang="bash" >}}

pip install google-genai
{{< /tab >}}
{{< /tabpane >}}

1. Create a new file named `hotel_agent.py` and copy the following
   code to create an agent:
    {{< tabpane persist=header >}}
{{< tab header="ADK" lang="python" >}}

{{< include "quickstart/python/adk/quickstart.py" >}}

{{< /tab >}}
{{< tab header="LangChain" lang="python" >}}

{{< include "quickstart/python/langchain/quickstart.py" >}}

{{< /tab >}}
{{< tab header="LlamaIndex" lang="python" >}}

{{< include "quickstart/python/llamaindex/quickstart.py" >}}

{{< /tab >}}
{{< tab header="Core" lang="python" >}}

{{< include "quickstart/python/core/quickstart.py" >}}

{{< /tab >}}
{{< /tabpane >}}

    {{< tabpane text=true persist=header >}}
{{% tab header="ADK" lang="en" %}}
To learn more about Agent Development Kit, check out the [ADK
documentation.](https://google.github.io/adk-docs/)
{{% /tab %}}
{{% tab header="Langchain" lang="en" %}}
To learn more about Agents in LangChain, check out the [LangGraph Agent
documentation.](https://langchain-ai.github.io/langgraph/reference/prebuilt/#langgraph.prebuilt.chat_agent_executor.create_react_agent)
{{% /tab %}}
{{% tab header="LlamaIndex" lang="en" %}}
To learn more about Agents in LlamaIndex, check out the [LlamaIndex
AgentWorkflow
documentation.](https://docs.llamaindex.ai/en/stable/examples/agent/agent_workflow_basic/)
{{% /tab %}}
{{% tab header="Core" lang="en" %}}
To learn more about tool calling with Google GenAI, check out the
[Google GenAI
Documentation](https://github.com/googleapis/python-genai?tab=readme-ov-file#manually-declare-and-invoke-a-function-for-function-calling).
{{% /tab %}}
{{< /tabpane >}}

1. Run your agent, and observe the results:

    ```sh
    python hotel_agent.py
    ```

{{< notice info >}}
For more information, visit the [Python SDK repo](https://github.com/googleapis/mcp-toolbox-sdk-python).
{{</ notice >}}
