Function calling upgrade

.gitignore

@@ -175,3 +175,6 @@ test/test_files/agenteval-in-out/out/
 # Files created by tests
 *tmp_code_*
 test/agentchat/test_agent_scripts/*
+
+# test cache
+.cache_test

autogen/agentchat/__init__.py

@@ -1,14 +1,15 @@
 from .agent import Agent
 from .assistant_agent import AssistantAgent
-from .conversable_agent import ConversableAgent
+from .conversable_agent import ConversableAgent, register_function
 from .groupchat import GroupChat, GroupChatManager
 from .user_proxy_agent import UserProxyAgent
 
-__all__ = [
+__all__ = (
     "Agent",
     "ConversableAgent",
     "AssistantAgent",
     "UserProxyAgent",
     "GroupChat",
     "GroupChatManager",
-]
+    "register_function",
+)

autogen/agentchat/conversable_agent.py

@@ -914,9 +914,20 @@ def generate_function_call_reply(
             func_call = message["function_call"]
             func = self._function_map.get(func_call.get("name", None), None)
             if inspect.iscoroutinefunction(func):
-                return False, None
-
-            _, func_return = self.execute_function(message["function_call"])
+                try:
+                    # get the running loop if it was already created
+                    loop = asyncio.get_running_loop()
+                    close_loop = False
+                except RuntimeError:
+                    # create a loop if there is no running loop
+                    loop = asyncio.new_event_loop()
+                    close_loop = True
+
+                _, func_return = loop.run_until_complete(self.a_execute_function(func_call))
+                if close_loop:
+                    loop.close()
+            else:
+                _, func_return = self.execute_function(message["function_call"])
             return True, func_return
         return False, None
 
@@ -943,7 +954,9 @@ async def a_generate_function_call_reply(
             func = self._function_map.get(func_name, None)
             if func and inspect.iscoroutinefunction(func):
                 _, func_return = await self.a_execute_function(func_call)
-                return True, func_return
+            else:
+                _, func_return = self.execute_function(func_call)
+            return True, func_return
 
         return False, None
 
@@ -968,8 +981,20 @@ def generate_tool_calls_reply(
             function_call = tool_call.get("function", {})
             func = self._function_map.get(function_call.get("name", None), None)
             if inspect.iscoroutinefunction(func):
-                continue
-            _, func_return = self.execute_function(function_call)
+                try:
+                    # get the running loop if it was already created
+                    loop = asyncio.get_running_loop()
+                    close_loop = False
+                except RuntimeError:
+                    # create a loop if there is no running loop
+                    loop = asyncio.new_event_loop()
+                    close_loop = True
+
+                _, func_return = loop.run_until_complete(self.a_execute_function(function_call))
+                if close_loop:
+                    loop.close()
+            else:
+                _, func_return = self.execute_function(function_call)
             tool_returns.append(
                 {
                     "tool_call_id": id,
@@ -1986,3 +2011,30 @@ def get_total_usage(self) -> Union[None, Dict[str, int]]:
             return None
         else:
             return self.client.total_usage_summary
+
+
+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)