A common function to register for llm and register for execution

[jasvir340]

to avoid the three step process

Why are these changes needed?

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[marklysze]

Hey @jasvir340, thanks for creating this PR!

Can you provide some description of where it would be used, e.g. a code sample?

Also, are you able to run the pre-commit checks on it.

[davorrunje]

Such function already exists:

https://docs.ag2.ai/docs/reference/agentchat/conversable_agent#register-function-2

ag2/autogen/agentchat/conversable_agent.py

Lines 2952 to 2976 in bdd1b51

	def register_function(
	f: Callable[..., Any],
	*,
	caller: ConversableAgent,
	executor: ConversableAgent,
	name: Optional[str] = None,
	description: str,
	) -> None:
	"""Register a function to be proposed by an agent and executed for an executor.
	This function can be used instead of function decorators `@ConversationAgent.register_for_llm` and
	`@ConversationAgent.register_for_execution`.
	Args:
	f: the function to be registered.
	caller: the agent calling the function, typically an instance of ConversableAgent.
	executor: the agent executing the function, typically an instance of UserProxy.
	name: name of the function. If None, the function name will be used (default: None).
	description: description of the function. The description is used by LLM to decode whether the function
	is called. Make sure the description is properly describing what the function does or it might not be
	called by LLM when needed.
	"""
	f = caller.register_for_llm(name=name, description=description)(f)
	executor.register_for_execution(name=name)(f)