Content
# MCP Toolbox for Databases
[](https://googleapis.github.io/genai-toolbox/)
[](https://discord.gg/Dmm69peqjh)
[](https://medium.com/@mcp_toolbox)
[](https://goreportcard.com/report/github.com/googleapis/genai-toolbox)
> [!NOTE]
> MCP Toolbox for Databases is currently in beta, and may see breaking
> changes until the first stable release (v1.0).
MCP Toolbox for Databases is an open source MCP server for databases. It enables
you to develop tools easier, faster, and more securely by handling the complexities
such as connection pooling, authentication, and more.
This README provides a brief overview. For comprehensive details, see the [full
documentation](https://googleapis.github.io/genai-toolbox/).
> [!NOTE]
> This solution was originally named “Gen AI Toolbox for Databases” as
> its initial development predated MCP, but was renamed to align with recently
> added MCP compatibility.
<!-- TOC ignore:true -->
## Table of Contents
<!-- TOC -->
- [Why Toolbox?](#why-toolbox)
- [General Architecture](#general-architecture)
- [Getting Started](#getting-started)
- [Installing the server](#installing-the-server)
- [Running the server](#running-the-server)
- [Integrating your application](#integrating-your-application)
- [Using Toolbox with Gemini CLI Extensions](#using-toolbox-with-gemini-cli-extensions)
- [Configuration](#configuration)
- [Sources](#sources)
- [Tools](#tools)
- [Toolsets](#toolsets)
- [Prompts](#prompts)
- [Versioning](#versioning)
- [Pre-1.0.0 Versioning](#pre-100-versioning)
- [Post-1.0.0 Versioning](#post-100-versioning)
- [Contributing](#contributing)
- [Community](#community)
<!-- /TOC -->
## Why Toolbox?
Toolbox helps you build Gen AI tools that let your agents access data in your
database. Toolbox provides:
- **Simplified development**: Integrate tools to your agent in less than 10
lines of code, reuse tools between multiple agents or frameworks, and deploy
new versions of tools more easily.
- **Better performance**: Best practices such as connection pooling,
authentication, and more.
- **Enhanced security**: Integrated auth for more secure access to your data
- **End-to-end observability**: Out of the box metrics and tracing with built-in
support for OpenTelemetry.
**⚡ Supercharge Your Workflow with an AI Database Assistant ⚡**
Stop context-switching and let your AI assistant become a true co-developer. By
[connecting your IDE to your databases with MCP Toolbox][connect-ide], you can
delegate complex and time-consuming database tasks, allowing you to build faster
and focus on what matters. This isn't just about code completion; it's about
giving your AI the context it needs to handle the entire development lifecycle.
Here’s how it will save you time:
- **Query in Plain English**: Interact with your data using natural language
right from your IDE. Ask complex questions like, *"How many orders were
delivered in 2024, and what items were in them?"* without writing any SQL.
- **Automate Database Management**: Simply describe your data needs, and let the
AI assistant manage your database for you. It can handle generating queries,
creating tables, adding indexes, and more.
- **Generate Context-Aware Code**: Empower your AI assistant to generate
application code and tests with a deep understanding of your real-time
database schema. This accelerates the development cycle by ensuring the
generated code is directly usable.
- **Slash Development Overhead**: Radically reduce the time spent on manual
setup and boilerplate. MCP Toolbox helps streamline lengthy database
configurations, repetitive code, and error-prone schema migrations.
Learn [how to connect your AI tools (IDEs) to Toolbox using MCP][connect-ide].
[connect-ide]: https://googleapis.github.io/genai-toolbox/how-to/connect-ide/
## General Architecture
Toolbox sits between your application's orchestration framework and your
database, providing a control plane that is used to modify, distribute, or
invoke tools. It simplifies the management of your tools by providing you with a
centralized location to store and update tools, allowing you to share tools
between agents and applications and update those tools without necessarily
redeploying your application.
<p align="center">
<img src="./docs/en/getting-started/introduction/architecture.png" alt="architecture" width="50%"/>
</p>
## Getting Started
### Installing the server
For the latest version, check the [releases page][releases] and use the
following instructions for your OS and CPU architecture.
[releases]: https://github.com/googleapis/genai-toolbox/releases
<details open>
<summary>Binary</summary>
To install Toolbox as a binary:
<!-- {x-release-please-start-version} -->
> <details>
> <summary>Linux (AMD64)</summary>
>
> To install Toolbox as a binary on Linux (AMD64):
>
> ```sh
> # see releases page for other versions
> export VERSION=0.22.0
> curl -L -o toolbox https://storage.googleapis.com/genai-toolbox/v$VERSION/linux/amd64/toolbox
> chmod +x toolbox
> ```
>
> </details>
> <details>
> <summary>macOS (Apple Silicon)</summary>
>
> To install Toolbox as a binary on macOS (Apple Silicon):
>
> ```sh
> # see releases page for other versions
> export VERSION=0.22.0
> curl -L -o toolbox https://storage.googleapis.com/genai-toolbox/v$VERSION/darwin/arm64/toolbox
> chmod +x toolbox
> ```
>
> </details>
> <details>
> <summary>macOS (Intel)</summary>
>
> To install Toolbox as a binary on macOS (Intel):
>
> ```sh
> # see releases page for other versions
> export VERSION=0.22.0
> curl -L -o toolbox https://storage.googleapis.com/genai-toolbox/v$VERSION/darwin/amd64/toolbox
> chmod +x toolbox
> ```
>
> </details>
> <details>
> <summary>Windows (AMD64)</summary>
>
> To install Toolbox as a binary on Windows (AMD64):
>
> ```powershell
> :: see releases page for other versions
> set VERSION=0.22.0
> curl -o toolbox.exe "https://storage.googleapis.com/genai-toolbox/v%VERSION%/windows/amd64/toolbox.exe"
> ```
>
> </details>
</details>
<details>
<summary>Container image</summary>
You can also install Toolbox as a container:
```sh
# see releases page for other versions
export VERSION=0.22.0
docker pull us-central1-docker.pkg.dev/database-toolbox/toolbox/toolbox:$VERSION
```
</details>
<details>
<summary>Homebrew</summary>
To install Toolbox using Homebrew on macOS or Linux:
```sh
brew install mcp-toolbox
```
</details>
<details>
<summary>Compile from source</summary>
To install from source, ensure you have the latest version of
[Go installed](https://go.dev/doc/install), and then run the following command:
```sh
go install github.com/googleapis/genai-toolbox@v0.22.0
```
<!-- {x-release-please-end} -->
</details>
<details>
<summary>Gemini CLI Extensions</summary>
To install Gemini CLI Extensions for MCP Toolbox, run the following command:
```sh
gemini extensions install https://github.com/gemini-cli-extensions/mcp-toolbox
```
</details>
### Running the server
[Configure](#configuration) a `tools.yaml` to define your tools, and then
execute `toolbox` to start the server:
<details open>
<summary>Binary</summary>
To run Toolbox from binary:
```sh
./toolbox --tools-file "tools.yaml"
```
> ⓘ Note
> Toolbox enables dynamic reloading by default. To disable, use the
> `--disable-reload` flag.
</details>
<details>
<summary>Container image</summary>
To run the server after pulling the [container image](#installing-the-server):
```sh
export VERSION=0.11.0 # Use the version you pulled
docker run -p 5000:5000 \
-v $(pwd)/tools.yaml:/app/tools.yaml \
us-central1-docker.pkg.dev/database-toolbox/toolbox/toolbox:$VERSION \
--tools-file "/app/tools.yaml"
```
> ⓘ Note
> The `-v` flag mounts your local `tools.yaml` into the container, and `-p` maps
> the container's port `5000` to your host's port `5000`.
</details>
<details>
<summary>Source</summary>
To run the server directly from source, navigate to the project root directory
and run:
```sh
go run .
```
> ⓘ Note
> This command runs the project from source, and is more suitable for development
> and testing. It does **not** compile a binary into your `$GOPATH`. If you want
> to compile a binary instead, refer the [Developer
> Documentation](./DEVELOPER.md#building-the-binary).
</details>
<details>
<summary>Homebrew</summary>
If you installed Toolbox using [Homebrew](https://brew.sh/), the `toolbox`
binary is available in your system path. You can start the server with the same
command:
```sh
toolbox --tools-file "tools.yaml"
```
</details>
<details>
<summary>Gemini CLI</summary>
Interact with your custom tools using natural language. Check
[gemini-cli-extensions/mcp-toolbox](https://github.com/gemini-cli-extensions/mcp-toolbox)
for more information.
</details>
You can use `toolbox help` for a full list of flags! To stop the server, send a
terminate signal (`ctrl+c` on most platforms).
For more detailed documentation on deploying to different environments, check
out the resources in the [How-to
section](https://googleapis.github.io/genai-toolbox/how-to/)
### Integrating your application
Once your server is up and running, you can load the tools into your
application. See below the list of Client SDKs for using various frameworks:
<details open>
<summary>Python (<a href="https://github.com/googleapis/mcp-toolbox-sdk-python">Github</a>)</summary>
<br>
<blockquote>
<details open>
<summary>Core</summary>
1. Install [Toolbox Core SDK][toolbox-core]:
```bash
pip install toolbox-core
```
1. Load tools:
```python
from toolbox_core import ToolboxClient
# update the url to point to your server
async with ToolboxClient("http://127.0.0.1:5000") as client:
# these tools can be passed to your application!
tools = await client.load_toolset("toolset_name")
```
For more detailed instructions on using the Toolbox Core SDK, see the
[project's README][toolbox-core-readme].
[toolbox-core]: https://pypi.org/project/toolbox-core/
[toolbox-core-readme]: https://github.com/googleapis/mcp-toolbox-sdk-python/tree/main/packages/toolbox-core/README.md
</details>
<details>
<summary>LangChain / LangGraph</summary>
1. Install [Toolbox LangChain SDK][toolbox-langchain]:
```bash
pip install toolbox-langchain
```
1. Load tools:
```python
from toolbox_langchain import ToolboxClient
# update the url to point to your server
async with ToolboxClient("http://127.0.0.1:5000") as client:
# these tools can be passed to your application!
tools = client.load_toolset()
```
For more detailed instructions on using the Toolbox LangChain SDK, see the
[project's README][toolbox-langchain-readme].
[toolbox-langchain]: https://pypi.org/project/toolbox-langchain/
[toolbox-langchain-readme]: https://github.com/googleapis/mcp-toolbox-sdk-python/blob/main/packages/toolbox-langchain/README.md
</details>
<details>
<summary>LlamaIndex</summary>
1. Install [Toolbox Llamaindex SDK][toolbox-llamaindex]:
```bash
pip install toolbox-llamaindex
```
1. Load tools:
```python
from toolbox_llamaindex import ToolboxClient
# update the url to point to your server
async with ToolboxClient("http://127.0.0.1:5000") as client:
# these tools can be passed to your application!
tools = client.load_toolset()
```
For more detailed instructions on using the Toolbox Llamaindex SDK, see the
[project's README][toolbox-llamaindex-readme].
[toolbox-llamaindex]: https://pypi.org/project/toolbox-llamaindex/
[toolbox-llamaindex-readme]: https://github.com/googleapis/genai-toolbox-llamaindex-python/blob/main/README.md
</details>
</details>
</blockquote>
<details>
<summary>Javascript/Typescript (<a href="https://github.com/googleapis/mcp-toolbox-sdk-js">Github</a>)</summary>
<br>
<blockquote>
<details open>
<summary>Core</summary>
1. Install [Toolbox Core SDK][toolbox-core-js]:
```bash
npm install @toolbox-sdk/core
```
1. Load tools:
```javascript
import { ToolboxClient } from '@toolbox-sdk/core';
// update the url to point to your server
const URL = 'http://127.0.0.1:5000';
let client = new ToolboxClient(URL);
// these tools can be passed to your application!
const tools = await client.loadToolset('toolsetName');
```
For more detailed instructions on using the Toolbox Core SDK, see the
[project's README][toolbox-core-js-readme].
[toolbox-core-js]: https://www.npmjs.com/package/@toolbox-sdk/core
[toolbox-core-js-readme]: https://github.com/googleapis/mcp-toolbox-sdk-js/blob/main/packages/toolbox-core/README.md
</details>
<details>
<summary>LangChain / LangGraph</summary>
1. Install [Toolbox Core SDK][toolbox-core-js]:
```bash
npm install @toolbox-sdk/core
```
2. Load tools:
```javascript
import { ToolboxClient } from '@toolbox-sdk/core';
// update the url to point to your server
const URL = 'http://127.0.0.1:5000';
let client = new ToolboxClient(URL);
// these tools can be passed to your application!
const toolboxTools = await client.loadToolset('toolsetName');
// Define the basics of the tool: name, description, schema and core logic
const getTool = (toolboxTool) => tool(currTool, {
name: toolboxTool.getName(),
description: toolboxTool.getDescription(),
schema: toolboxTool.getParamSchema()
});
// Use these tools in your Langchain/Langraph applications
const tools = toolboxTools.map(getTool);
```
</details>
<details>
<summary>Genkit</summary>
1. Install [Toolbox Core SDK][toolbox-core-js]:
```bash
npm install @toolbox-sdk/core
```
2. Load tools:
```javascript
import { ToolboxClient } from '@toolbox-sdk/core';
import { genkit } from 'genkit';
// Initialise genkit
const ai = genkit({
plugins: [
googleAI({
apiKey: process.env.GEMINI_API_KEY || process.env.GOOGLE_API_KEY
})
],
model: googleAI.model('gemini-2.0-flash'),
});
// update the url to point to your server
const URL = 'http://127.0.0.1:5000';
let client = new ToolboxClient(URL);
// these tools can be passed to your application!
const toolboxTools = await client.loadToolset('toolsetName');
// Define the basics of the tool: name, description, schema and core logic
const getTool = (toolboxTool) => ai.defineTool({
name: toolboxTool.getName(),
description: toolboxTool.getDescription(),
schema: toolboxTool.getParamSchema()
}, toolboxTool)
// Use these tools in your Genkit applications
const tools = toolboxTools.map(getTool);
```
</details>
<details>
<summary>ADK</summary>
1. Install [Toolbox ADK SDK][toolbox-adk-js]:
```bash
npm install @toolbox-sdk/adk
```
2. Load tools:
```javascript
import { ToolboxClient } from '@toolbox-sdk/adk';
// update the url to point to your server
const URL = 'http://127.0.0.1:5000';
let client = new ToolboxClient(URL);
// these tools can be passed to your application!
const tools = await client.loadToolset('toolsetName');
```
For more detailed instructions on using the Toolbox ADK SDK, see the
[project's README][toolbox-adk-js-readme].
[toolbox-adk-js]: https://www.npmjs.com/package/@toolbox-sdk/adk
[toolbox-adk-js-readme]:
https://github.com/googleapis/mcp-toolbox-sdk-js/blob/main/packages/toolbox-adk/README.md
</details>
</details>
</blockquote>
<details>
<summary>Go (<a href="https://github.com/googleapis/mcp-toolbox-sdk-go">Github</a>)</summary>
<br>
<blockquote>
<details>
<summary>Core</summary>
1. Install [Toolbox Go SDK][toolbox-go]:
```bash
go get github.com/googleapis/mcp-toolbox-sdk-go
```
2. Load tools:
```go
package main
import (
"github.com/googleapis/mcp-toolbox-sdk-go/core"
"context"
)
func main() {
// Make sure to add the error checks
// update the url to point to your server
URL := "http://127.0.0.1:5000";
ctx := context.Background()
client, err := core.NewToolboxClient(URL)
// Framework agnostic tools
tools, err := client.LoadToolset("toolsetName", ctx)
}
```
For more detailed instructions on using the Toolbox Go SDK, see the
[project's README][toolbox-core-go-readme].
[toolbox-go]: https://pkg.go.dev/github.com/googleapis/mcp-toolbox-sdk-go/core
[toolbox-core-go-readme]: https://github.com/googleapis/mcp-toolbox-sdk-go/blob/main/core/README.md
</details>
<details>
<summary>LangChain Go</summary>
1. Install [Toolbox Go SDK][toolbox-go]:
```bash
go get github.com/googleapis/mcp-toolbox-sdk-go
```
2. Load tools:
```go
package main
import (
"context"
"encoding/json"
"github.com/googleapis/mcp-toolbox-sdk-go/core"
"github.com/tmc/langchaingo/llms"
)
func main() {
// Make sure to add the error checks
// update the url to point to your server
URL := "http://127.0.0.1:5000"
ctx := context.Background()
client, err := core.NewToolboxClient(URL)
// Framework agnostic tool
tool, err := client.LoadTool("toolName", ctx)
// Fetch the tool's input schema
inputschema, err := tool.InputSchema()
var paramsSchema map[string]any
_ = json.Unmarshal(inputschema, ¶msSchema)
// Use this tool with LangChainGo
langChainTool := llms.Tool{
Type: "function",
Function: &llms.FunctionDefinition{
Name: tool.Name(),
Description: tool.Description(),
Parameters: paramsSchema,
},
}
}
```
</details>
<details>
<summary>Genkit</summary>
1. Install [Toolbox Go SDK][toolbox-go]:
```bash
go get github.com/googleapis/mcp-toolbox-sdk-go
```
2. Load tools:
```go
package main
import (
"context"
"log"
"github.com/firebase/genkit/go/genkit"
"github.com/googleapis/mcp-toolbox-sdk-go/core"
"github.com/googleapis/mcp-toolbox-sdk-go/tbgenkit"
)
func main() {
// Make sure to add the error checks
// Update the url to point to your server
URL := "http://127.0.0.1:5000"
ctx := context.Background()
g := genkit.Init(ctx)
client, err := core.NewToolboxClient(URL)
// Framework agnostic tool
tool, err := client.LoadTool("toolName", ctx)
// Convert the tool using the tbgenkit package
// Use this tool with Genkit Go
genkitTool, err := tbgenkit.ToGenkitTool(tool, g)
if err != nil {
log.Fatalf("Failed to convert tool: %v\n", err)
}
log.Printf("Successfully converted tool: %s", genkitTool.Name())
}
```
</details>
<details>
<summary>Go GenAI</summary>
1. Install [Toolbox Go SDK][toolbox-go]:
```bash
go get github.com/googleapis/mcp-toolbox-sdk-go
```
2. Load tools:
```go
package main
import (
"context"
"encoding/json"
"github.com/googleapis/mcp-toolbox-sdk-go/core"
"google.golang.org/genai"
)
func main() {
// Make sure to add the error checks
// Update the url to point to your server
URL := "http://127.0.0.1:5000"
ctx := context.Background()
client, err := core.NewToolboxClient(URL)
// Framework agnostic tool
tool, err := client.LoadTool("toolName", ctx)
// Fetch the tool's input schema
inputschema, err := tool.InputSchema()
var schema *genai.Schema
_ = json.Unmarshal(inputschema, &schema)
funcDeclaration := &genai.FunctionDeclaration{
Name: tool.Name(),
Description: tool.Description(),
Parameters: schema,
}
// Use this tool with Go GenAI
genAITool := &genai.Tool{
FunctionDeclarations: []*genai.FunctionDeclaration{funcDeclaration},
}
}
```
</details>
<details>
<summary>OpenAI Go</summary>
1. Install [Toolbox Go SDK][toolbox-go]:
```bash
go get github.com/googleapis/mcp-toolbox-sdk-go
```
2. Load tools:
```go
package main
import (
"context"
"encoding/json"
"github.com/googleapis/mcp-toolbox-sdk-go/core"
openai "github.com/openai/openai-go"
)
func main() {
// Make sure to add the error checks
// Update the url to point to your server
URL := "http://127.0.0.1:5000"
ctx := context.Background()
client, err := core.NewToolboxClient(URL)
// Framework agnostic tool
tool, err := client.LoadTool("toolName", ctx)
// Fetch the tool's input schema
inputschema, err := tool.InputSchema()
var paramsSchema openai.FunctionParameters
_ = json.Unmarshal(inputschema, ¶msSchema)
// Use this tool with OpenAI Go
openAITool := openai.ChatCompletionToolParam{
Function: openai.FunctionDefinitionParam{
Name: tool.Name(),
Description: openai.String(tool.Description()),
Parameters: paramsSchema,
},
}
}
```
</details>
<details open>
<summary>ADK Go</summary>
1. Install [Toolbox Go SDK][toolbox-go]:
```bash
go get github.com/googleapis/mcp-toolbox-sdk-go
```
1. Load tools:
```go
package main
import (
"github.com/googleapis/mcp-toolbox-sdk-go/tbadk"
"context"
)
func main() {
// Make sure to add the error checks
// Update the url to point to your server
URL := "http://127.0.0.1:5000"
ctx := context.Background()
client, err := tbadk.NewToolboxClient(URL)
if err != nil {
return fmt.Sprintln("Could not start Toolbox Client", err)
}
// Use this tool with ADK Go
tool, err := client.LoadTool("toolName", ctx)
if err != nil {
return fmt.Sprintln("Could not load Toolbox Tool", err)
}
}
```
For more detailed instructions on using the Toolbox Go SDK, see the
[project's README][toolbox-core-go-readme].
</details>
</details>
</blockquote>
</details>
### Using Toolbox with Gemini CLI Extensions
[Gemini CLI extensions][gemini-cli-extensions] provide tools to interact
directly with your data sources from command line. Below is a list of Gemini CLI
extensions that are built on top of **Toolbox**. They allow you to interact with
your data sources through pre-defined or custom tools with natural language.
Click into the link to see detailed instructions on their usage.
To use **custom** tools with Gemini CLI:
- [MCP Toolbox](https://github.com/gemini-cli-extensions/mcp-toolbox)
To use [prebuilt tools][prebuilt] with Gemini CLI:
- [AlloyDB for PostgreSQL](https://github.com/gemini-cli-extensions/alloydb)
- [AlloyDB for PostgreSQL
Observability](https://github.com/gemini-cli-extensions/alloydb-observability)
- [BigQuery Data
Analytics](https://github.com/gemini-cli-extensions/bigquery-data-analytics)
- [BigQuery Conversational
Analytics](https://github.com/gemini-cli-extensions/bigquery-conversational-analytics)
- [Cloud SQL for
MySQL](https://github.com/gemini-cli-extensions/cloud-sql-mysql)
- [Cloud SQL for MySQL
Observability](https://github.com/gemini-cli-extensions/cloud-sql-mysql-observability)
- [Cloud SQL for
PostgreSQL](https://github.com/gemini-cli-extensions/cloud-sql-postgresql)
- [Cloud SQL for PostgreSQL
Observability](https://github.com/gemini-cli-extensions/cloud-sql-postgresql-observability)
- [Cloud SQL for SQL
Server](https://github.com/gemini-cli-extensions/cloud-sql-sqlserver)
- [Cloud SQL for SQL Server
Observability](https://github.com/gemini-cli-extensions/cloud-sql-sqlserver-observability)
- [Looker](https://github.com/gemini-cli-extensions/looker)
- [Dataplex](https://github.com/gemini-cli-extensions/dataplex)
- [MySQL](https://github.com/gemini-cli-extensions/mysql)
- [PostgreSQL](https://github.com/gemini-cli-extensions/postgres)
- [Spanner](https://github.com/gemini-cli-extensions/spanner)
- [Firestore](https://github.com/gemini-cli-extensions/firestore-native)
- [SQL Server](https://github.com/gemini-cli-extensions/sql-server)
[prebuilt]: https://googleapis.github.io/genai-toolbox/reference/prebuilt-tools/
[gemini-cli-extensions]:
https://github.com/google-gemini/gemini-cli/blob/main/docs/extensions/index.md
## Configuration
The primary way to configure Toolbox is through the `tools.yaml` file. If you
have multiple files, you can tell toolbox which to load with the `--tools-file
tools.yaml` flag.
You can find more detailed reference documentation to all resource types in the
[Resources](https://googleapis.github.io/genai-toolbox/resources/).
### Sources
The `sources` section of your `tools.yaml` defines what data sources your
Toolbox should have access to. Most tools will have at least one source to
execute against.
```yaml
sources:
my-pg-source:
kind: postgres
host: 127.0.0.1
port: 5432
database: toolbox_db
user: toolbox_user
password: my-password
```
For more details on configuring different types of sources, see the
[Sources](https://googleapis.github.io/genai-toolbox/resources/sources).
### Tools
The `tools` section of a `tools.yaml` define the actions an agent can take: what
kind of tool it is, which source(s) it affects, what parameters it uses, etc.
```yaml
tools:
search-hotels-by-name:
kind: postgres-sql
source: my-pg-source
description: Search for hotels based on name.
parameters:
- name: name
type: string
description: The name of the hotel.
statement: SELECT * FROM hotels WHERE name ILIKE '%' || $1 || '%';
```
For more details on configuring different types of tools, see the
[Tools](https://googleapis.github.io/genai-toolbox/resources/tools).
### Toolsets
The `toolsets` section of your `tools.yaml` allows you to define groups of tools
that you want to be able to load together. This can be useful for defining
different groups based on agent or application.
```yaml
toolsets:
my_first_toolset:
- my_first_tool
- my_second_tool
my_second_toolset:
- my_second_tool
- my_third_tool
```
You can load toolsets by name:
```python
# This will load all tools
all_tools = client.load_toolset()
# This will only load the tools listed in 'my_second_toolset'
my_second_toolset = client.load_toolset("my_second_toolset")
```
### Prompts
The `prompts` section of a `tools.yaml` defines prompts that can be used for
interactions with LLMs.
```yaml
prompts:
code_review:
description: "Asks the LLM to analyze code quality and suggest improvements."
messages:
- content: "Please review the following code for quality, correctness, and potential improvements: \n\n{{.code}}"
arguments:
- name: "code"
description: "The code to review"
```
For more details on configuring prompts, see the
[Prompts](https://googleapis.github.io/genai-toolbox/resources/prompts).
## Versioning
This project uses [semantic versioning](https://semver.org/) (`MAJOR.MINOR.PATCH`).
Since the project is in a pre-release stage (version `0.x.y`), we follow the
standard conventions for initial development:
### Pre-1.0.0 Versioning
While the major version is `0`, the public API should be considered unstable.
The version will be incremented as follows:
- **`0.MINOR.PATCH`**: The **MINOR** version is incremented when we add
new functionality or make breaking, incompatible API changes.
- **`0.MINOR.PATCH`**: The **PATCH** version is incremented for
backward-compatible bug fixes.
### Post-1.0.0 Versioning
Once the project reaches a stable `1.0.0` release, the versioning will follow
the more common convention:
- **`MAJOR.MINOR.PATCH`**: Incremented for incompatible API changes.
- **`MAJOR.MINOR.PATCH`**: Incremented for new, backward-compatible functionality.
- **`MAJOR.MINOR.PATCH`**: Incremented for backward-compatible bug fixes.
The public API that this applies to is the CLI associated with Toolbox, the
interactions with official SDKs, and the definitions in the `tools.yaml` file.
## Contributing
Contributions are welcome. Please, see the [CONTRIBUTING](CONTRIBUTING.md)
to get started.
Please note that this project is released with a Contributor Code of Conduct.
By participating in this project you agree to abide by its terms. See
[Contributor Code of Conduct](CODE_OF_CONDUCT.md) for more information.
## Community
Join our [discord community](https://discord.gg/GQrFB3Ec3W) to connect with our developers!
