This commit is contained in:
Anubhav Dhawan
2026-01-07 16:49:32 +05:30
committed by GitHub
6 changed files with 61 additions and 51 deletions

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@@ -509,7 +509,7 @@
},
"outputs": [],
"source": [
"! pip install toolbox-core --quiet\n",
"! pip install toolbox-adk --quiet\n",
"! pip install google-adk --quiet"
]
},
@@ -525,14 +525,18 @@
"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",
"toolbox_client = ToolboxSyncClient(\"http://127.0.0.1:5000\")\n",
"# Configure toolset\n",
"toolset = ToolboxToolset(\n",
" server_url=\"http://127.0.0.1:5000\",\n",
" toolset_name=\"my-toolset\"\n",
")\n",
"\n",
"prompt = \"\"\"\n",
" You're a helpful hotel assistant. You handle hotel searching, booking and\n",
@@ -549,7 +553,7 @@
" name='hotel_agent',\n",
" description='A helpful AI assistant.',\n",
" instruction=prompt,\n",
" tools=toolbox_client.load_toolset(\"my-toolset\"),\n",
" tools=[toolset],\n",
")\n",
"\n",
"session_service = InMemorySessionService()\n",

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@@ -52,7 +52,7 @@ runtime](https://research.google.com/colaboratory/local-runtimes.html).
{{< tabpane persist=header >}}
{{< tab header="ADK" lang="bash" >}}
pip install toolbox-core
pip install toolbox-adk
{{< /tab >}}
{{< tab header="Langchain" lang="bash" >}}

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@@ -1,15 +1,17 @@
from google.adk import Agent
from google.adk.apps import App
from toolbox_core import ToolboxSyncClient
from google.adk.tools.toolbox_toolset import ToolboxToolset
# TODO(developer): update the TOOLBOX_URL to your toolbox endpoint
client = ToolboxSyncClient("http://127.0.0.1:5000")
toolset = ToolboxToolset(
server_url="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=client.load_toolset(),
tools=[toolset],
)
app = App(root_agent=root_agent, name="my_agent")

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@@ -1,3 +1,3 @@
google-adk==1.21.0
toolbox-core==0.5.4
toolbox-adk==0.0.1
pytest==9.0.2

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@@ -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-core
uv add toolbox-adk
```
## Step 3: Configure Google Cloud Authentication
@@ -95,22 +95,23 @@ authentication token.
```python
from google.adk import Agent
from google.adk.apps import App
from toolbox_core import ToolboxSyncClient, auth_methods
from google.adk.tools.toolbox_toolset import ToolboxToolset
from toolbox_adk import CredentialStrategy
# TODO(developer): Replace with your Toolbox Cloud Run Service URL
TOOLBOX_URL = "https://your-toolbox-service-xyz.a.run.app"
# 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)}
# 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)
)
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=client.load_toolset(),
tools=[toolset],
)
app = App(root_agent=root_agent, name="my_agent")

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@@ -365,7 +365,7 @@ pip install llama-index-llms-google-genai
{{< /tab >}}
{{< tab header="ADK" lang="bash" >}}
pip install toolbox-core
pip install toolbox-adk
{{< /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'
@@ -623,48 +623,47 @@ 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>
# 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")
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")
# --- 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.
"""
# --- 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.
"""
# --- Configure the Agent ---
# --- Configure the Agent ---
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
)
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
)
# --- Initialize Services for Running the Agent ---
session_service = InMemorySessionService()
artifacts_service = InMemoryArtifactService()
# --- Initialize Services for Running the Agent ---
session_service = InMemorySessionService()
artifacts_service = InMemoryArtifactService()
runner = Runner(
app_name='hotel_agent',
agent=root_agent,
artifact_service=artifacts_service,
session_service=session_service,
)
async def main():
# Create a new session for the interaction.
session = session_service.create_session(
session = await 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.",
@@ -687,6 +686,10 @@ with ToolboxSyncClient("<http://127.0.0.1:5000>") as toolbox_client:
for text in responses:
print(text)
import asyncio
if __name__ == "__main__":
asyncio.run(main())
{{< /tab >}}
{{< /tabpane >}}