mirror of
https://github.com/googleapis/genai-toolbox.git
synced 2026-01-14 09:57:58 -05:00
Compare commits
1 Commits
docs/toolb
...
tool-name-
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
60d35e5f40 |
@@ -509,7 +509,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"! pip install toolbox-adk --quiet\n",
|
||||
"! pip install toolbox-core --quiet\n",
|
||||
"! pip install google-adk --quiet"
|
||||
]
|
||||
},
|
||||
@@ -525,18 +525,14 @@
|
||||
"from google.adk.runners import Runner\n",
|
||||
"from google.adk.sessions import InMemorySessionService\n",
|
||||
"from google.adk.artifacts.in_memory_artifact_service import InMemoryArtifactService\n",
|
||||
"from google.adk.tools.toolbox_toolset import ToolboxToolset\n",
|
||||
"from google.genai import types\n",
|
||||
"from toolbox_core import ToolboxSyncClient\n",
|
||||
"\n",
|
||||
"import os\n",
|
||||
"# TODO(developer): replace this with your Google API key\n",
|
||||
"os.environ['GOOGLE_API_KEY'] = \"<GOOGLE_API_KEY>\"\n",
|
||||
"\n",
|
||||
"# Configure toolset\n",
|
||||
"toolset = ToolboxToolset(\n",
|
||||
" server_url=\"http://127.0.0.1:5000\",\n",
|
||||
" toolset_name=\"my-toolset\"\n",
|
||||
")\n",
|
||||
"toolbox_client = ToolboxSyncClient(\"http://127.0.0.1:5000\")\n",
|
||||
"\n",
|
||||
"prompt = \"\"\"\n",
|
||||
" You're a helpful hotel assistant. You handle hotel searching, booking and\n",
|
||||
@@ -553,7 +549,7 @@
|
||||
" name='hotel_agent',\n",
|
||||
" description='A helpful AI assistant.',\n",
|
||||
" instruction=prompt,\n",
|
||||
" tools=[toolset],\n",
|
||||
" tools=toolbox_client.load_toolset(\"my-toolset\"),\n",
|
||||
")\n",
|
||||
"\n",
|
||||
"session_service = InMemorySessionService()\n",
|
||||
|
||||
@@ -52,7 +52,7 @@ runtime](https://research.google.com/colaboratory/local-runtimes.html).
|
||||
{{< tabpane persist=header >}}
|
||||
{{< tab header="ADK" lang="bash" >}}
|
||||
|
||||
pip install toolbox-adk
|
||||
pip install toolbox-core
|
||||
{{< /tab >}}
|
||||
{{< tab header="Langchain" lang="bash" >}}
|
||||
|
||||
|
||||
@@ -1,17 +1,15 @@
|
||||
from google.adk import Agent
|
||||
from google.adk.apps import App
|
||||
from google.adk.tools.toolbox_toolset import ToolboxToolset
|
||||
from toolbox_core import ToolboxSyncClient
|
||||
|
||||
# TODO(developer): update the TOOLBOX_URL to your toolbox endpoint
|
||||
toolset = ToolboxToolset(
|
||||
server_url="http://127.0.0.1:5000",
|
||||
)
|
||||
client = ToolboxSyncClient("http://127.0.0.1:5000")
|
||||
|
||||
root_agent = Agent(
|
||||
name='root_agent',
|
||||
model='gemini-2.5-flash',
|
||||
instruction="You are a helpful AI assistant designed to provide accurate and useful information.",
|
||||
tools=[toolset],
|
||||
tools=client.load_toolset(),
|
||||
)
|
||||
|
||||
app = App(root_agent=root_agent, name="my_agent")
|
||||
|
||||
@@ -1,3 +1,3 @@
|
||||
google-adk==1.21.0
|
||||
toolbox-adk>=0.1.0
|
||||
toolbox-core==0.5.4
|
||||
pytest==9.0.2
|
||||
@@ -49,7 +49,7 @@ with the necessary configuration for deployment to Vertex AI Agent Engine.
|
||||
4. Add `toolbox-core` as a dependency to the new project:
|
||||
|
||||
```bash
|
||||
uv add toolbox-adk
|
||||
uv add toolbox-core
|
||||
```
|
||||
|
||||
## Step 3: Configure Google Cloud Authentication
|
||||
@@ -95,23 +95,22 @@ authentication token.
|
||||
```python
|
||||
from google.adk import Agent
|
||||
from google.adk.apps import App
|
||||
from google.adk.tools.toolbox_toolset import ToolboxToolset
|
||||
from toolbox_adk import CredentialStrategy
|
||||
from toolbox_core import ToolboxSyncClient, auth_methods
|
||||
|
||||
# TODO(developer): Replace with your Toolbox Cloud Run Service URL
|
||||
TOOLBOX_URL = "https://your-toolbox-service-xyz.a.run.app"
|
||||
|
||||
# Initialize the toolset with Workload Identity (generates ID token for the URL)
|
||||
toolset = ToolboxToolset(
|
||||
server_url=TOOLBOX_URL,
|
||||
credentials=CredentialStrategy.workload_identity(target_audience=TOOLBOX_URL)
|
||||
# Initialize the client with the Cloud Run URL and Auth headers
|
||||
client = ToolboxSyncClient(
|
||||
TOOLBOX_URL,
|
||||
client_headers={"Authorization": auth_methods.get_google_id_token(TOOLBOX_URL)}
|
||||
)
|
||||
|
||||
root_agent = Agent(
|
||||
name='root_agent',
|
||||
model='gemini-2.5-flash',
|
||||
instruction="You are a helpful AI assistant designed to provide accurate and useful information.",
|
||||
tools=[toolset],
|
||||
tools=client.load_toolset(),
|
||||
)
|
||||
|
||||
app = App(root_agent=root_agent, name="my_agent")
|
||||
|
||||
@@ -365,7 +365,7 @@ pip install llama-index-llms-google-genai
|
||||
|
||||
{{< /tab >}}
|
||||
{{< tab header="ADK" lang="bash" >}}
|
||||
pip install toolbox-adk
|
||||
pip install toolbox-core
|
||||
{{< /tab >}}
|
||||
{{< /tabpane >}}
|
||||
|
||||
@@ -607,8 +607,8 @@ from google.adk.agents import Agent
|
||||
from google.adk.runners import Runner
|
||||
from google.adk.sessions import InMemorySessionService
|
||||
from google.adk.artifacts.in_memory_artifact_service import InMemoryArtifactService
|
||||
from google.adk.tools.toolbox_toolset import ToolboxToolset
|
||||
from google.genai import types # For constructing message content
|
||||
from toolbox_core import ToolboxSyncClient
|
||||
|
||||
import os
|
||||
os.environ['GOOGLE_GENAI_USE_VERTEXAI'] = 'True'
|
||||
@@ -623,47 +623,48 @@ os.environ['GOOGLE_CLOUD_LOCATION'] = 'us-central1'
|
||||
|
||||
# --- Load Tools from Toolbox ---
|
||||
|
||||
# TODO(developer): Ensure the Toolbox server is running at http://127.0.0.1:5000
|
||||
toolset = ToolboxToolset(server_url="http://127.0.0.1:5000")
|
||||
# TODO(developer): Ensure the Toolbox server is running at <http://127.0.0.1:5000>
|
||||
|
||||
# --- Define the Agent's Prompt ---
|
||||
prompt = """
|
||||
You're a helpful hotel assistant. You handle hotel searching, booking and
|
||||
cancellations. When the user searches for a hotel, mention it's name, id,
|
||||
location and price tier. Always mention hotel ids while performing any
|
||||
searches. This is very important for any operations. For any bookings or
|
||||
cancellations, please provide the appropriate confirmation. Be sure to
|
||||
update checkin or checkout dates if mentioned by the user.
|
||||
Don't ask for confirmations from the user.
|
||||
"""
|
||||
with ToolboxSyncClient("<http://127.0.0.1:5000>") as toolbox_client:
|
||||
# TODO(developer): Replace "my-toolset" with the actual ID of your toolset as configured in your MCP Toolbox server.
|
||||
agent_toolset = toolbox_client.load_toolset("my-toolset")
|
||||
|
||||
# --- Configure the Agent ---
|
||||
# --- Define the Agent's Prompt ---
|
||||
prompt = """
|
||||
You're a helpful hotel assistant. You handle hotel searching, booking and
|
||||
cancellations. When the user searches for a hotel, mention it's name, id,
|
||||
location and price tier. Always mention hotel ids while performing any
|
||||
searches. This is very important for any operations. For any bookings or
|
||||
cancellations, please provide the appropriate confirmation. Be sure to
|
||||
update checkin or checkout dates if mentioned by the user.
|
||||
Don't ask for confirmations from the user.
|
||||
"""
|
||||
|
||||
root_agent = Agent(
|
||||
model='gemini-2.0-flash-001',
|
||||
name='hotel_agent',
|
||||
description='A helpful AI assistant that can search and book hotels.',
|
||||
instruction=prompt,
|
||||
tools=[toolset], # Pass the loaded toolset
|
||||
)
|
||||
# --- Configure the Agent ---
|
||||
|
||||
# --- Initialize Services for Running the Agent ---
|
||||
session_service = InMemorySessionService()
|
||||
artifacts_service = InMemoryArtifactService()
|
||||
root_agent = Agent(
|
||||
model='gemini-2.0-flash-001',
|
||||
name='hotel_agent',
|
||||
description='A helpful AI assistant that can search and book hotels.',
|
||||
instruction=prompt,
|
||||
tools=agent_toolset, # Pass the loaded toolset
|
||||
)
|
||||
|
||||
runner = Runner(
|
||||
app_name='hotel_agent',
|
||||
agent=root_agent,
|
||||
artifact_service=artifacts_service,
|
||||
session_service=session_service,
|
||||
)
|
||||
|
||||
async def main():
|
||||
# --- Initialize Services for Running the Agent ---
|
||||
session_service = InMemorySessionService()
|
||||
artifacts_service = InMemoryArtifactService()
|
||||
# Create a new session for the interaction.
|
||||
session = await session_service.create_session(
|
||||
session = session_service.create_session(
|
||||
state={}, app_name='hotel_agent', user_id='123'
|
||||
)
|
||||
|
||||
runner = Runner(
|
||||
app_name='hotel_agent',
|
||||
agent=root_agent,
|
||||
artifact_service=artifacts_service,
|
||||
session_service=session_service,
|
||||
)
|
||||
|
||||
# --- Define Queries and Run the Agent ---
|
||||
queries = [
|
||||
"Find hotels in Basel with Basel in it's name.",
|
||||
@@ -686,10 +687,6 @@ async def main():
|
||||
|
||||
for text in responses:
|
||||
print(text)
|
||||
|
||||
import asyncio
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
{{< /tab >}}
|
||||
{{< /tabpane >}}
|
||||
|
||||
|
||||
@@ -1,7 +0,0 @@
|
||||
---
|
||||
title: "Neo4j"
|
||||
type: docs
|
||||
weight: 1
|
||||
description: >
|
||||
How to get started with Toolbox using Neo4j.
|
||||
---
|
||||
@@ -1,141 +0,0 @@
|
||||
---
|
||||
title: "Quickstart (MCP with Neo4j)"
|
||||
type: docs
|
||||
weight: 1
|
||||
description: >
|
||||
How to get started running Toolbox with MCP Inspector and Neo4j as the source.
|
||||
---
|
||||
|
||||
## Overview
|
||||
|
||||
[Model Context Protocol](https://modelcontextprotocol.io) is an open protocol that standardizes how applications provide context to LLMs. Check out this page on how to [connect to Toolbox via MCP](../../how-to/connect_via_mcp.md).
|
||||
|
||||
|
||||
## Step 1: Set up your Neo4j Database and Data
|
||||
|
||||
In this section, you'll set up a database and populate it with sample data for a movies-related agent. This guide assumes you have a running Neo4j instance, either locally or in the cloud.
|
||||
|
||||
. **Populate the database with data.**
|
||||
To make this quickstart straightforward, we'll use the built-in Movies dataset available in Neo4j.
|
||||
|
||||
. In your Neo4j Browser, run the following command to create and populate the database:
|
||||
+
|
||||
```cypher
|
||||
:play movies
|
||||
````
|
||||
|
||||
. Follow the instructions to load the data. This will create a graph with `Movie`, `Person`, and `Actor` nodes and their relationships.
|
||||
|
||||
|
||||
## Step 2: Install and configure Toolbox
|
||||
|
||||
In this section, we will install the MCP Toolbox, configure our tools in a `tools.yaml` file, and then run the Toolbox server.
|
||||
|
||||
. **Install the Toolbox binary.**
|
||||
The simplest way to get started is to download the latest binary for your operating system.
|
||||
|
||||
. Download the latest version of Toolbox as a binary:
|
||||
\+
|
||||
|
||||
```bash
|
||||
export OS="linux/amd64" # one of linux/amd64, darwin/arm64, darwin/amd64, or windows/amd64
|
||||
curl -O [https://storage.googleapis.com/genai-toolbox/v0.16.0/$OS/toolbox](https://storage.googleapis.com/genai-toolbox/v0.16.0/$OS/toolbox)
|
||||
```
|
||||
|
||||
+
|
||||
. Make the binary executable:
|
||||
\+
|
||||
|
||||
```bash
|
||||
chmod +x toolbox
|
||||
```
|
||||
|
||||
. **Create the `tools.yaml` file.**
|
||||
This file defines your Neo4j source and the specific tools that will be exposed to your AI agent.
|
||||
\+
|
||||
{{\< notice tip \>}}
|
||||
Authentication for the Neo4j source uses standard username and password fields. For production use, it is highly recommended to use environment variables for sensitive information like passwords.
|
||||
{{\< /notice \>}}
|
||||
\+
|
||||
Write the following into a `tools.yaml` file:
|
||||
\+
|
||||
|
||||
```yaml
|
||||
sources:
|
||||
my-neo4j-source:
|
||||
kind: neo4j
|
||||
uri: bolt://localhost:7687
|
||||
user: neo4j
|
||||
password: my-password # Replace with your actual password
|
||||
|
||||
tools:
|
||||
search-movies-by-actor:
|
||||
kind: neo4j-cypher
|
||||
source: my-neo4j-source
|
||||
description: "Searches for movies an actor has appeared in based on their name. Useful for questions like 'What movies has Tom Hanks been in?'"
|
||||
parameters:
|
||||
- name: actor_name
|
||||
type: string
|
||||
description: The full name of the actor to search for.
|
||||
statement: |
|
||||
MATCH (p:Person {name: $actor_name}) -[:ACTED_IN]-> (m:Movie)
|
||||
RETURN m.title AS title, m.year AS year, m.genre AS genre
|
||||
|
||||
get-actor-for-movie:
|
||||
kind: neo4j-cypher
|
||||
source: my-neo4j-source
|
||||
description: "Finds the actors who starred in a specific movie. Useful for questions like 'Who acted in Inception?'"
|
||||
parameters:
|
||||
- name: movie_title
|
||||
type: string
|
||||
description: The exact title of the movie.
|
||||
statement: |
|
||||
MATCH (p:Person) -[:ACTED_IN]-> (m:Movie {title: $movie_title})
|
||||
RETURN p.name AS actor
|
||||
```
|
||||
|
||||
. **Start the Toolbox server.**
|
||||
Run the Toolbox server, pointing to the `tools.yaml` file you created earlier.
|
||||
\+
|
||||
|
||||
```bash
|
||||
./toolbox --tools-file "tools.yaml"
|
||||
```
|
||||
|
||||
## Step 3: Connect to MCP Inspector
|
||||
|
||||
. **Run the MCP Inspector:**
|
||||
\+
|
||||
|
||||
```bash
|
||||
npx @modelcontextprotocol/inspector
|
||||
```
|
||||
|
||||
. Type `y` when it asks to install the inspector package.
|
||||
. It should show the following when the MCP Inspector is up and running (please take note of `<YOUR_SESSION_TOKEN>`):
|
||||
\+
|
||||
|
||||
```bash
|
||||
Starting MCP inspector...
|
||||
⚙️ Proxy server listening on localhost:6277
|
||||
🔑 Session token: <YOUR_SESSION_TOKEN>
|
||||
Use this token to authenticate requests or set DANGEROUSLY_OMIT_AUTH=true to disable auth
|
||||
|
||||
🚀 MCP Inspector is up and running at:
|
||||
http://localhost:6274/?MCP_PROXY_AUTH_TOKEN=<YOUR_SESSION_TOKEN>
|
||||
```
|
||||
|
||||
1. Open the above link in your browser.
|
||||
|
||||
1. For `Transport Type`, select `Streamable HTTP`.
|
||||
|
||||
1. For `URL`, type in `http://127.0.0.1:5000/mcp`.
|
||||
|
||||
1. For `Configuration` -\> `Proxy Session Token`, make sure `<YOUR_SESSION_TOKEN>` is present.
|
||||
|
||||
1. Click `Connect`.
|
||||
|
||||
1. Select `List Tools`, you will see a list of tools configured in `tools.yaml`.
|
||||
|
||||
1. Test out your tools here\!
|
||||
|
||||
@@ -16,6 +16,7 @@ package server
|
||||
import (
|
||||
"context"
|
||||
"fmt"
|
||||
"regexp"
|
||||
"strings"
|
||||
|
||||
yaml "github.com/goccy/go-yaml"
|
||||
@@ -139,6 +140,10 @@ func (c *SourceConfigs) UnmarshalYAML(ctx context.Context, unmarshal func(interf
|
||||
}
|
||||
|
||||
for name, u := range raw {
|
||||
err := NameValidation(name)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
// Unmarshal to a general type that ensure it capture all fields
|
||||
var v map[string]any
|
||||
if err := u.Unmarshal(&v); err != nil {
|
||||
@@ -183,6 +188,10 @@ func (c *AuthServiceConfigs) UnmarshalYAML(ctx context.Context, unmarshal func(i
|
||||
}
|
||||
|
||||
for name, u := range raw {
|
||||
err := NameValidation(name)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
var v map[string]any
|
||||
if err := u.Unmarshal(&v); err != nil {
|
||||
return fmt.Errorf("unable to unmarshal %q: %w", name, err)
|
||||
@@ -226,6 +235,10 @@ func (c *EmbeddingModelConfigs) UnmarshalYAML(ctx context.Context, unmarshal fun
|
||||
}
|
||||
|
||||
for name, u := range raw {
|
||||
err := NameValidation(name)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
// Unmarshal to a general type that ensure it capture all fields
|
||||
var v map[string]any
|
||||
if err := u.Unmarshal(&v); err != nil {
|
||||
@@ -270,6 +283,10 @@ func (c *ToolConfigs) UnmarshalYAML(ctx context.Context, unmarshal func(interfac
|
||||
}
|
||||
|
||||
for name, u := range raw {
|
||||
err := NameValidation(name)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
var v map[string]any
|
||||
if err := u.Unmarshal(&v); err != nil {
|
||||
return fmt.Errorf("unable to unmarshal %q: %w", name, err)
|
||||
@@ -323,6 +340,10 @@ func (c *ToolsetConfigs) UnmarshalYAML(ctx context.Context, unmarshal func(inter
|
||||
}
|
||||
|
||||
for name, toolList := range raw {
|
||||
err := NameValidation(name)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
(*c)[name] = tools.ToolsetConfig{Name: name, ToolNames: toolList}
|
||||
}
|
||||
return nil
|
||||
@@ -342,6 +363,10 @@ func (c *PromptConfigs) UnmarshalYAML(ctx context.Context, unmarshal func(interf
|
||||
}
|
||||
|
||||
for name, u := range raw {
|
||||
err := NameValidation(name)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
var v map[string]any
|
||||
if err := u.Unmarshal(&v); err != nil {
|
||||
return fmt.Errorf("unable to unmarshal prompt %q: %w", name, err)
|
||||
@@ -389,7 +414,31 @@ func (c *PromptsetConfigs) UnmarshalYAML(ctx context.Context, unmarshal func(int
|
||||
}
|
||||
|
||||
for name, promptList := range raw {
|
||||
err := NameValidation(name)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
(*c)[name] = prompts.PromptsetConfig{Name: name, PromptNames: promptList}
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
// Tools naming validation is added in the MCP v2025-11-25, but we'll be
|
||||
// implementing it across Toolbox
|
||||
// Tool names SHOULD be between 1 and 128 characters in length (inclusive).
|
||||
// Tool names SHOULD be considered case-sensitive.
|
||||
// The following SHOULD be the only allowed characters: uppercase and lowercase ASCII letters (A-Z, a-z), digits (0-9), underscore (_), hyphen (-), and dot (.)
|
||||
// Tool names SHOULD NOT contain spaces, commas, or other special characters.
|
||||
// Tool names SHOULD be unique within a server.
|
||||
func NameValidation(name string) error {
|
||||
strLen := len(name)
|
||||
if strLen < 1 || strLen > 128 {
|
||||
return fmt.Errorf("resource name SHOULD be between 1 and 128 characters in length (inclusive)")
|
||||
}
|
||||
validChars := regexp.MustCompile("^[a-zA-Z0-9_.-]+$")
|
||||
isValid := validChars.MatchString(name)
|
||||
if !isValid {
|
||||
return fmt.Errorf("invalid character for resource name; only uppercase and lowercase ASCII letters (A-Z, a-z), digits (0-9), underscore (_), hyphen (-), and dot (.) is allowed")
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
@@ -200,3 +200,62 @@ func TestUpdateServer(t *testing.T) {
|
||||
t.Errorf("error updating server, promptset (-want +got):\n%s", diff)
|
||||
}
|
||||
}
|
||||
|
||||
func TestNameValidation(t *testing.T) {
|
||||
testCases := []struct {
|
||||
desc string
|
||||
resourceName string
|
||||
errStr string
|
||||
}{
|
||||
{
|
||||
desc: "names with 0 length",
|
||||
resourceName: "",
|
||||
errStr: "resource name SHOULD be between 1 and 128 characters in length (inclusive)",
|
||||
},
|
||||
{
|
||||
desc: "names with allowed length",
|
||||
resourceName: "foo",
|
||||
},
|
||||
{
|
||||
desc: "names with 128 length",
|
||||
resourceName: strings.Repeat("a", 128),
|
||||
},
|
||||
{
|
||||
desc: "names with more than 128 length",
|
||||
resourceName: strings.Repeat("a", 129),
|
||||
errStr: "resource name SHOULD be between 1 and 128 characters in length (inclusive)",
|
||||
},
|
||||
{
|
||||
desc: "names with space",
|
||||
resourceName: "foo bar",
|
||||
errStr: "invalid character for resource name; only uppercase and lowercase ASCII letters (A-Z, a-z), digits (0-9), underscore (_), hyphen (-), and dot (.) is allowed",
|
||||
},
|
||||
{
|
||||
desc: "names with commas",
|
||||
resourceName: "foo,bar",
|
||||
errStr: "invalid character for resource name; only uppercase and lowercase ASCII letters (A-Z, a-z), digits (0-9), underscore (_), hyphen (-), and dot (.) is allowed",
|
||||
},
|
||||
{
|
||||
desc: "names with other special character",
|
||||
resourceName: "foo!",
|
||||
errStr: "invalid character for resource name; only uppercase and lowercase ASCII letters (A-Z, a-z), digits (0-9), underscore (_), hyphen (-), and dot (.) is allowed",
|
||||
},
|
||||
{
|
||||
desc: "names with allowed special character",
|
||||
resourceName: "foo_.-bar6",
|
||||
},
|
||||
}
|
||||
for _, tc := range testCases {
|
||||
t.Run(tc.desc, func(t *testing.T) {
|
||||
err := server.NameValidation(tc.resourceName)
|
||||
if err != nil {
|
||||
if tc.errStr != err.Error() {
|
||||
t.Fatalf("unexpected error: %s", err)
|
||||
}
|
||||
}
|
||||
if err == nil && tc.errStr != "" {
|
||||
t.Fatalf("expect error: %s", tc.errStr)
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user