docs: migrate to toolbox-adk and simplified ToolboxToolset (#2211)

Updates all quickstart guides and samples to use the new `toolbox-adk`
package instead of the legacy `toolbox-core`. Also updates
`ToolboxToolset` usage to rely on the simplified constructor (implicit
authentication) and ensures correct dependency installation.

> [!NOTE]
> The integration tests are failing because the `google-adk` package is
not released yet with the newer changes from `toolbox-adk`. This is
expected behavior until the [package update](cl/853799009) is released.

docs/en/getting-started/colab_quickstart.ipynb

@@ -520,8 +520,7 @@
       },
       "outputs": [],
       "source": [
-        "! pip install toolbox-core --quiet\n",
-        "! pip install google-adk --quiet"
+        "! pip install google-adk[toolbox] --quiet"
       ]
     },
     {
@@ -536,14 +535,18 @@
         "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",
@@ -560,7 +563,7 @@
         "    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",

docs/en/getting-started/local_quickstart.md

@@ -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 google-adk[toolbox]
 {{< /tab >}}
 {{< tab header="Langchain" lang="bash" >}}
 
@@ -73,7 +73,7 @@ pip install toolbox-core
     {{< tabpane persist=header >}}
 {{< tab header="ADK" lang="bash" >}}
 
-pip install google-adk
+# No other dependencies required for ADK
 {{< /tab >}}
 {{< tab header="Langchain" lang="bash" >}}
 

docs/en/getting-started/quickstart/python/adk/quickstart.py

@@ -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")

docs/en/getting-started/quickstart/python/adk/requirements.txt

@@ -1,3 +1,2 @@
-google-adk==1.21.0
-toolbox-core==0.5.4
+google-adk[toolbox]==1.23.0
 pytest==9.0.2

docs/en/how-to/deploy_adk_agent.md

@@ -46,10 +46,10 @@ with the necessary configuration for deployment to Vertex AI Agent Engine.
     process will generate deployment configuration files (like a `Makefile` and
     `Dockerfile`) in your project directory.
 
-4.  Add `toolbox-core` as a dependency to the new project:
+4.  Add `google-adk[toolbox]` as a dependency to the new project:
 
     ```bash
-    uv add toolbox-core
+    uv add google-adk[toolbox]
     ```
 
 ## 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")

docs/en/samples/bigquery/local_quickstart.md

@@ -335,7 +335,7 @@ pip install toolbox-llamaindex
 {{< /tab >}}
 {{< tab header="ADK" lang="bash" >}}
 
-pip install google-adk
+pip install google-adk[toolbox]
 {{< /tab >}}
 
 {{< /tabpane >}}
@@ -375,7 +375,7 @@ pip install llama-index-llms-google-genai
 
 {{< /tab >}}
 {{< tab header="ADK" lang="bash" >}}
-pip install toolbox-core
+# No other dependencies required for ADK
 {{< /tab >}}
 {{< /tabpane >}}
 
@@ -617,8 +617,8 @@ 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'
@@ -633,48 +633,47 @@ 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.",
@@ -697,6 +696,10 @@ 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 >}}