diff --git a/docs/en/getting-started/configure.md b/docs/en/getting-started/configure.md
index 603cd6b335..dba592f1d1 100644
--- a/docs/en/getting-started/configure.md
+++ b/docs/en/getting-started/configure.md
@@ -75,8 +75,8 @@ You can load toolsets by name:
 
 ```python
 # This will load all tools
-all_tools = await client.aload_toolset()
+all_tools = client.load_toolset()
 
 # This will only load the tools listed in 'my_second_toolset'
-my_second_toolset = await client.aload_toolset("my_second_toolset")
+my_second_toolset = client.load_toolset("my_second_toolset")
 ```
\ No newline at end of file
diff --git a/docs/en/getting-started/introduction/_index.md b/docs/en/getting-started/introduction/_index.md
index 81d23baf7a..4739b0e758 100644
--- a/docs/en/getting-started/introduction/_index.md
+++ b/docs/en/getting-started/introduction/_index.md
@@ -100,7 +100,7 @@ out the resources in the [How-to section](../../how-to/_index.md)
 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:
 
-{{< tabpane text=true >}}
+{{< tabpane text=true persist=header >}}
 {{% tab header="LangChain" lang="en" %}}
 
 Once you've installed the [Toolbox LangChain
@@ -114,11 +114,31 @@ from toolbox_langchain import ToolboxClient
 client = ToolboxClient("http://127.0.0.1:5000")
 
 # these tools can be passed to your application! 
-tools = await client.aload_toolset()
+tools = client.load_toolset()
 {{< /highlight >}}
 
 For more detailed instructions on using the Toolbox LangChain SDK, see the
 [project's README](https://github.com/googleapis/genai-toolbox-langchain-python/blob/main/README.md).
 
+{{% /tab %}}
+{{% tab header="Llamaindex" lang="en" %}}
+
+Once you've installed the [Toolbox Llamaindex
+SDK](https://github.com/googleapis/genai-toolbox-llamaindex-python), you can load
+tools:
+
+{{< highlight python >}}
+from toolbox_llamaindex import ToolboxClient
+
+# update the url to point to your server
+client = ToolboxClient("http://127.0.0.1:5000")
+
+# these tools can be passed to your application! 
+tools = client.load_toolset()
+{{< /highlight >}}
+
+For more detailed instructions on using the Toolbox Llamaindex SDK, see the
+[project's README](https://github.com/googleapis/genai-toolbox-llamaindex-python/blob/main/README.md).
+
 {{% /tab %}}
 {{< /tabpane >}}
diff --git a/docs/en/how-to/deploy_docker.md b/docs/en/how-to/deploy_docker.md
index c12d79a7f8..f829e34d7a 100644
--- a/docs/en/how-to/deploy_docker.md
+++ b/docs/en/how-to/deploy_docker.md
@@ -84,7 +84,7 @@ You can use this setup quickly set up Toolbox + Postgres to follow along in our
 
 
 
-## Connecting with Toolbox Client SDL
+## Connecting with Toolbox Client SDK
 
 Next, we will use Toolbox with the Client SDKs: 
 
@@ -96,11 +96,19 @@ Next, we will use Toolbox with the Client SDKs:
 
 1. Import and initialize the client with the URL:
 
-    ```bash
-    from toolbox_langchain_sdk import ToolboxClient
+   {{< tabpane persist=header >}}
+{{< tab header="LangChain" lang="Python" >}}
+from toolbox_langchain import ToolboxClient
 
-    # Replace with the cloud run service URL generated above
-    toolbox = ToolboxClient("$YOUR_URL")
-    ```
+# Replace with the cloud run service URL generated above
+toolbox = ToolboxClient("http://$YOUR_URL")
+{{< /tab >}}
+{{< tab header="Llamaindex" lang="Python" >}}
+from toolbox_llamaindex import ToolboxClient
+
+# Replace with the cloud run service URL generated above
+toolbox = ToolboxClient("http://$YOUR_URL")
+{{< /tab >}}
+{{< /tabpane >}}
 
 
diff --git a/docs/en/how-to/deploy_toolbox.md b/docs/en/how-to/deploy_toolbox.md
index afc7aa002a..14e4ab9b46 100644
--- a/docs/en/how-to/deploy_toolbox.md
+++ b/docs/en/how-to/deploy_toolbox.md
@@ -168,9 +168,18 @@ Next, we will use Toolbox with client SDK:
 
 1. Import and initialize the toolbox client with the URL retrieved above:
 
-    ```bash
-    from toolbox_langchain_sdk import ToolboxClient
+   {{< tabpane persist=header >}}
+{{< tab header="LangChain" lang="Python" >}}
+from toolbox_langchain import ToolboxClient
+
+# Replace with the cloud run service URL generated above
+toolbox = ToolboxClient("http://$YOUR_URL")
+{{< /tab >}}
+{{< tab header="Llamaindex" lang="Python" >}}
+from toolbox_llamaindex import ToolboxClient
+
+# Replace with the cloud run service URL generated above
+toolbox = ToolboxClient("http://$YOUR_URL")
+{{< /tab >}}
+{{< /tabpane >}}
 
-    # Replace with the cloud run service URL generated above
-    toolbox = ToolboxClient("http://$YOUR_URL")
-    ```
diff --git a/docs/en/resources/authServices/_index.md b/docs/en/resources/authServices/_index.md
index c333055d00..2dfbbf6097 100644
--- a/docs/en/resources/authServices/_index.md
+++ b/docs/en/resources/authServices/_index.md
@@ -58,7 +58,7 @@ when the tool is invoked. This allows you to cache and refresh the ID token as
 needed. 
 
 ### Specifying tokens during load
-{{< tabpane >}}
+{{< tabpane persist=header >}}
 {{< tab header="LangChain" lang="Python" >}}
 async def get_auth_token():
     # ... Logic to retrieve ID token (e.g., from local storage, OAuth flow)
@@ -66,19 +66,41 @@ async def get_auth_token():
     return "YOUR_ID_TOKEN" # Placeholder
 
 # for a single tool use:
-authorized_tool = await toolbox.aload_tool("my-tool-name", auth_tokens={"my_auth": get_auth_token})
+authorized_tool = toolbox.load_tool("my-tool-name", auth_tokens={"my_auth": get_auth_token})
 
 # for a toolset use: 
-authorized_tools = await toolbox.aload_toolset("my-toolset-name", auth_tokens={"my_auth": get_auth_token})
+authorized_tools = toolbox.load_toolset("my-toolset-name", auth_tokens={"my_auth": get_auth_token})
+{{< /tab >}}
+{{< tab header="Llamaindex" lang="Python" >}}
+async def get_auth_token():
+    # ... Logic to retrieve ID token (e.g., from local storage, OAuth flow)
+    # This example just returns a placeholder. Replace with your actual token retrieval.
+    return "YOUR_ID_TOKEN" # Placeholder
+
+# for a single tool use:
+authorized_tool = toolbox.load_tool("my-tool-name", auth_tokens={"my_auth": get_auth_token})
+
+# for a toolset use: 
+authorized_tools = toolbox.load_toolset("my-toolset-name", auth_tokens={"my_auth": get_auth_token})
 {{< /tab >}}
 {{< /tabpane >}}
 
 
 ### Specifying tokens for existing tools
 
-{{< tabpane >}}
+{{< tabpane persist=header >}}
 {{< tab header="LangChain" lang="Python" >}}
-tools = await toolbox.aload_toolset()
+tools = toolbox.load_toolset()
+# for a single token
+auth_tools = [tool.add_auth_token("my_auth", get_auth_token) for tool in tools]
+# OR, if multiple tokens are needed
+authorized_tool = tools[0].add_auth_tokens({
+  "my_auth1": get_auth1_token,
+  "my_auth2": get_auth2_token,
+}) 
+{{< /tab >}}
+{{< tab header="Llamaindex" lang="Python" >}}
+tools = toolbox.load_toolset()
 # for a single token
 auth_tools = [tool.add_auth_token("my_auth", get_auth_token) for tool in tools]
 # OR, if multiple tokens are needed