community[minor]: Connery Tool and Toolkit (#14506)

## Summary

This PR implements the "Connery Action Tool" and "Connery Toolkit".
Using them, you can integrate Connery actions into your LangChain agents
and chains.

Connery is an open-source plugin infrastructure for AI.

With Connery, you can easily create a custom plugin with a set of
actions and seamlessly integrate them into your LangChain agents and
chains. Connery will handle the rest: runtime, authorization, secret
management, access management, audit logs, and other vital features.
Additionally, Connery and our community offer a wide range of
ready-to-use open-source plugins for your convenience.

Learn more about Connery:

- GitHub: https://github.com/connery-io/connery-platform
- Documentation: https://docs.connery.io
- Twitter: https://twitter.com/connery_io

## TODOs

- [x] API wrapper
   - [x] Integration tests
- [x] Connery Action Tool
   - [x] Docs
   - [x] Example
   - [x] Integration tests
- [x] Connery Toolkit
  - [x] Docs
  - [x] Example
- [x] Formatting (`make format`)
- [x] Linting (`make lint`)
- [x] Testing (`make test`)

libs/community/langchain_community/agent_toolkits/connery/toolkit.py

@@ -0,0 +1,51 @@
+from typing import List
+
+from langchain_core.pydantic_v1 import root_validator
+from langchain_core.tools import BaseTool
+
+from langchain_community.agent_toolkits.base import BaseToolkit
+from langchain_community.tools.connery import ConneryService
+
+
+class ConneryToolkit(BaseToolkit):
+    """
+    A LangChain Toolkit with a list of Connery Actions as tools.
+    """
+
+    tools: List[BaseTool]
+
+    def get_tools(self) -> List[BaseTool]:
+        """
+        Returns the list of Connery Actions.
+        """
+        return self.tools
+
+    @root_validator()
+    def validate_attributes(cls, values: dict) -> dict:
+        """
+        Validate the attributes of the ConneryToolkit class.
+        Parameters:
+            values (dict): The arguments to validate.
+        Returns:
+            dict: The validated arguments.
+        """
+
+        if not values.get("tools"):
+            raise ValueError("The attribute 'tools' must be set.")
+
+        return values
+
+    @classmethod
+    def create_instance(cls, connery_service: ConneryService) -> "ConneryToolkit":
+        """
+        Creates a Connery Toolkit using a Connery Service.
+        Parameters:
+            connery_service (ConneryService): The Connery Service
+            to to get the list of Connery Actions.
+        Returns:
+            ConneryToolkit: The Connery Toolkit.
+        """
+
+        instance = cls(tools=connery_service.list_actions())
+
+        return instance