Update toolkit samples to reference Bedrock AgentCore (#549)

Author: michaelnchin

samples/tools/browser_toolkit.ipynb renamed to samples/tools/bedrock_agentcore_browser.ipynb

@@ -4,9 +4,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Browser Toolkit with LangGraph React Agent\n",
+    "# Bedrock AgentCore Browser toolkit with LangGraph React Agent\n",
     "\n",
-    "This notebook demonstrates how to use the AWS Browser Toolkit with a LangGraph React Agent to perform automated web browsing tasks. The Browser Toolkit provides a set of tools for navigating websites, interacting with web elements, and extracting information."
+    "This notebook demonstrates how to use the [Bedrock AgentCore](https://aws.amazon.com/bedrock/agentcore/) based browser toolkit with a LangGraph React Agent to perform automated web browsing tasks. This toolkit provides a set of tools for navigating websites, interacting with web elements, and extracting information."
    ]
   },
   {
@@ -36,11 +36,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import asyncio\n",
     "import logging\n",
     "\n",
     "from langchain.chat_models import init_chat_model\n",
@@ -56,14 +55,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Create Browser Toolkit\n",
-    "\n",
-    "The Browser Toolkit provides tools for interacting with websites through a remote browser managed by AWS. It includes tools for navigating to URLs, clicking elements, extracting text, and more."
+    "## Create Browser Toolkit"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -75,7 +72,6 @@
     }
    ],
    "source": [
-    "# Create the browser toolkit\n",
     "# The toolkit handles browser session management based on thread IDs\n",
     "toolkit, browser_tools = create_browser_toolkit(region=\"us-west-2\")\n",
     "\n",
@@ -94,7 +90,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -118,7 +114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -153,7 +149,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -201,7 +197,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -243,7 +239,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -301,13 +297,6 @@
     "await toolkit.cleanup()\n",
     "print(\"Browser resources cleaned up successfully\")"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

samples/tools/code_interpreter_toolkit.ipynb renamed to samples/tools/bedrock_agentcore_code_interpreter.ipynb

@@ -4,9 +4,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Code Interpreter Toolkit with LangGraph React Agent\n",
+    "# Bedrock AgentCore Code Interpreter tools with LangGraph React Agent\n",
     "\n",
-    "This notebook demonstrates how to use the AWS Code Interpreter Toolkit with a LangGraph React Agent to perform code execution tasks. The Code Interpreter Toolkit provides a set of tools for running code, executing shell commands, and managing files in a secure environment."
+    "This notebook demonstrates how to use the [Bedrock AgentCore](https://aws.amazon.com/bedrock/agentcore/) based code interpreter toolkit with a LangGraph React Agent to perform code execution tasks. This toolkit provides a set of tools for running code, executing shell commands, and managing files in a secure environment."
    ]
   },
   {
@@ -36,13 +36,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import asyncio\n",
     "import logging\n",
-    "from typing import Dict, List, Any\n",
     "\n",
     "from langchain.chat_models import init_chat_model\n",
     "from langchain_aws.tools import create_code_interpreter_toolkit\n",
@@ -57,9 +55,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Create Code Interpreter Toolkit\n",
-    "\n",
-    "The Code Interpreter Toolkit provides tools for running code, managing files, and executing shell commands in a secure environment managed by AWS."
+    "## Create Code Interpreter Toolkit"
    ]
   },
   {