Community: Update and fix ZenGuardTool docs and add ZenguardTool to init files (#23415)

Thank you for contributing to LangChain!

- [x] **PR title**: "community: update docs and add tool to init.py"

- [x] **PR message**: 
- **Description:** Fixed some errors and comments in the docs and added
our ZenGuardTool and additional classes to init.py for easy access when
importing
- **Question:** when will you update the langchain-community package in
pypi to make our tool available?


- [x] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/

Thank you for review!

---------

Co-authored-by: Baur <baur.krykpayev@gmail.com>

docs/docs/integrations/tools/zenguard.ipynb

@@ -4,11 +4,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# ZenGuard AI Langchain Tool\n",
+    "# ZenGuard AI\n",
     "\n",
-    "<a href=\"https://colab.research.google.com/github/langchain-ai/langchail/blob/main/docs/docs/integrations/tools/zenguard.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\" /></a>\n",
+    "<a href=\"https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/docs/integrations/tools/zenguard.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\" /></a>\n",
     "\n",
-    "This Langchain Tool lets you quickly set up [ZenGuard AI](https://www.zenguard.ai/) in your Langchain-powered application. The ZenGuard AI provides ultrafast guardrails to protect your GenAI application from:\n",
+    "This tool lets you quickly set up [ZenGuard AI](https://www.zenguard.ai/) in your Langchain-powered application. The ZenGuard AI provides ultrafast guardrails to protect your GenAI application from:\n",
     "\n",
     "- Prompts Attacks\n",
     "- Veering of the pre-defined topics\n",
@@ -86,7 +86,7 @@
    },
    "outputs": [],
    "source": [
-    "%set_env ZENGUARD_API_KEY="
+    "%set_env ZENGUARD_API_KEY=your_api_key"
    ]
   },
   {
@@ -131,6 +131,7 @@
     "* `is_detected(boolean)`: Indicates whether a prompt injection attack was detected in the provided message. In this example, it is False.\n",
     " * `score(float: 0.0 - 1.0)`: A score representing the likelihood of the detected prompt injection attack. In this example, it is 0.0.\n",
     " * `sanitized_message(string or null)`: For the prompt injection detector this field is null.\n",
+    " * `latency(float or null)`: Time in milliseconds during which the detection was performed\n",
     "\n",
     "  **Error Codes:**\n",
     "\n",

libs/community/langchain_community/tools/__init__.py

@@ -318,6 +318,11 @@ if TYPE_CHECKING:
         ZapierNLAListActions,
         ZapierNLARunAction,
     )
+    from langchain_community.tools.zenguard.tool import (
+        Detector,
+        ZenGuardInput,
+        ZenGuardTool,
+    )
 
 __all__ = [
     "AINAppOps",
@@ -456,6 +461,9 @@ __all__ = [
     "YouTubeSearchTool",
     "ZapierNLAListActions",
     "ZapierNLARunAction",
+    "Detector",
+    "ZenGuardInput",
+    "ZenGuardTool",
     "authenticate",
     "format_tool_to_openai_function",
     "tool",
@@ -503,6 +511,7 @@ _module_lookup = {
     "CurrentWebPageTool": "langchain_community.tools.playwright",
     "DataheraldTextToSQL": "langchain_community.tools.dataherald.tool",
     "DeleteFileTool": "langchain_community.tools.file_management",
+    "Detector": "langchain_community.tools.zenguard.tool",
     "DuckDuckGoSearchResults": "langchain_community.tools.ddg_search.tool",
     "DuckDuckGoSearchRun": "langchain_community.tools.ddg_search.tool",
     "E2BDataAnalysisTool": "langchain_community.tools.e2b_data_analysis.tool",
@@ -601,6 +610,8 @@ _module_lookup = {
     "YouTubeSearchTool": "langchain_community.tools.youtube.search",
     "ZapierNLAListActions": "langchain_community.tools.zapier.tool",
     "ZapierNLARunAction": "langchain_community.tools.zapier.tool",
+    "ZenGuardInput": "langchain_community.tools.zenguard.tool",
+    "ZenGuardTool": "langchain_community.tools.zenguard.tool",
     "authenticate": "langchain_community.tools.office365.utils",
     "format_tool_to_openai_function": "langchain_community.tools.convert_to_openai",
     "tool": "langchain_core.tools",

libs/community/langchain_community/tools/zenguard/__init__.py

@@ -1,4 +1,4 @@
-from langchain_community.tools.zenguard.tools import (
+from langchain_community.tools.zenguard.tool import (
     Detector,
     ZenGuardInput,
     ZenGuardTool,

libs/community/tests/integration_tests/tools/zenguard/test_zenguard.py

@@ -3,7 +3,7 @@ from typing import Any, Dict, List
 
 import pytest
 
-from langchain_community.tools.zenguard.tools import Detector, ZenGuardTool
+from langchain_community.tools.zenguard.tool import Detector, ZenGuardTool
 
 
 @pytest.fixture()

libs/community/tests/unit_tests/tools/test_imports.py

@@ -135,6 +135,9 @@ EXPECTED_ALL = [
     "YouTubeSearchTool",
     "ZapierNLAListActions",
     "ZapierNLARunAction",
+    "Detector",
+    "ZenGuardInput",
+    "ZenGuardTool",
     "authenticate",
     "format_tool_to_openai_function",
     "tool",

libs/community/tests/unit_tests/tools/test_public_api.py

@@ -138,6 +138,9 @@ _EXPECTED = [
     "YouTubeSearchTool",
     "ZapierNLAListActions",
     "ZapierNLARunAction",
+    "Detector",
+    "ZenGuardInput",
+    "ZenGuardTool",
     "authenticate",
     "format_tool_to_openai_function",
     "tool",