Merge pull request #107 from ComposioHQ/sawra/local_tool_tutorial

Local tools tutorial+ example added

composio/local_tools/README.md

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+Composio is your one-stop solution for all kind of LLM tools and functionalities. And a very important step on that front is the ability of adding your own custom tools. Once we add a tool(or Action).
+
+
+This page contains necessary details for using Local Tools: [Local Tools Page](https://docs.composio.dev/sdk/python/local_tools)

examples/local_tools/autogen_math.py

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+import os
+
+import dotenv
+from autogen import AssistantAgent, UserProxyAgent
+from composio_autogen import App, ComposioToolSet
+
+
+# Load environment variables from .env
+dotenv.load_dotenv()
+
+
+# Initialize tools.
+chatbot = AssistantAgent(
+    "chatbot",
+    system_message="Reply TERMINATE when the task is done or when user's content is empty",
+    llm_config={
+        "config_list": [
+            {"model": "gpt-4", "api_key": os.environ["OPENAI_API_KEY"]},
+        ]
+    },
+)
+composio_toolset = ComposioToolSet()
+
+
+def is_termination_msg(content: dict) -> bool:
+    """Check if a message contains termination message."""
+    return "TERMINATE" in (content.get("content", "") or "")
+
+
+# Create a user proxy agent
+user_proxy = UserProxyAgent(
+    "user_proxy",
+    is_termination_msg=is_termination_msg,
+    human_input_mode="NEVER",
+    code_execution_config={"use_docker": False},
+)
+
+# Register the preferred Applications, with right executor.
+composio_toolset.register_tools(tools=[App.MATHEMATICAL], caller=chatbot, executor=user_proxy)
+
+# Define task.
+task = "What is 230 multiplied by 52 and added with 233 divided by 91?"
+
+# Execute task.
+response = user_proxy.initiate_chat(chatbot, message=task)
+
+# Print response
+print(response.chat_history)