Merge branch 'main' into vdibia/organize_docs

Author: victordibia

autogen/agentchat/conversable_agent.py

@@ -1017,3 +1017,12 @@ def register_function(self, function_map: Dict[str, Callable]):
             function_map: a dictionary mapping function names to functions.
         """
         self._function_map.update(function_map)
+
+    def can_execute_function(self, name: str) -> bool:
+        """Whether the agent can execute the function."""
+        return name in self._function_map
+
+    @property
+    def function_map(self) -> Dict[str, Callable]:
+        """Return the function map."""
+        return self._function_map

autogen/agentchat/groupchat.py

@@ -10,12 +10,23 @@
 
 @dataclass
 class GroupChat:
-    """A group chat class that contains a list of agents and the maximum number of rounds."""
+    """A group chat class that contains the following data fields:
+    - agents: a list of participating agents.
+    - messages: a list of messages in the group chat.
+    - max_round: the maximum number of rounds.
+    - admin_name: the name of the admin agent if there is one. Default is "Admin".
+        KeyBoardInterrupt will make the admin agent take over.
+    - func_call_filter: whether to enforce function call filter. Default is True.
+        When set to True and when a message is a function call suggestion,
+        the next speaker will be chosen from an agent which contains the corresponding function name
+        in its `function_map`.
+    """
 
     agents: List[Agent]
     messages: List[Dict]
     max_round: int = 10
-    admin_name: str = "Admin"  # the name of the admin agent
+    admin_name: str = "Admin"
+    func_call_filter: bool = True
 
     @property
     def agent_names(self) -> List[str]:
@@ -30,45 +41,69 @@ def agent_by_name(self, name: str) -> Agent:
         """Find the next speaker based on the message."""
         return self.agents[self.agent_names.index(name)]
 
-    def next_agent(self, agent: Agent) -> Agent:
+    def next_agent(self, agent: Agent, agents: List[Agent]) -> Agent:
         """Return the next agent in the list."""
-        return self.agents[(self.agent_names.index(agent.name) + 1) % len(self.agents)]
-
-    def select_speaker_msg(self):
+        if agents == self.agents:
+            return agents[(self.agent_names.index(agent.name) + 1) % len(agents)]
+        else:
+            offset = self.agent_names.index(agent.name) + 1
+            for i in range(len(self.agents)):
+                if self.agents[(offset + i) % len(self.agents)] in agents:
+                    return self.agents[(offset + i) % len(self.agents)]
+
+    def select_speaker_msg(self, agents: List[Agent]):
         """Return the message for selecting the next speaker."""
         return f"""You are in a role play game. The following roles are available:
 {self._participant_roles()}.
 
 Read the following conversation.
-Then select the next role from {self.agent_names} to play. Only return the role."""
+Then select the next role from {[agent.name for agent in agents]} to play. Only return the role."""
 
     def select_speaker(self, last_speaker: Agent, selector: ConversableAgent):
         """Select the next speaker."""
-        selector.update_system_message(self.select_speaker_msg())
-
-        # Warn if GroupChat is underpopulated, without established changing behavior
-        n_agents = len(self.agent_names)
-        if n_agents < 3:
-            logger.warning(
-                f"GroupChat is underpopulated with {n_agents} agents. Direct communication would be more efficient."
-            )
-
+        if self.func_call_filter and self.messages and "function_call" in self.messages[-1]:
+            # find agents with the right function_map which contains the function name
+            agents = [
+                agent for agent in self.agents if agent.can_execute_function(self.messages[-1]["function_call"]["name"])
+            ]
+            if len(agents) == 1:
+                # only one agent can execute the function
+                return agents[0]
+            elif not agents:
+                # find all the agents with function_map
+                agents = [agent for agent in self.agents if agent.function_map]
+                if len(agents) == 1:
+                    return agents[0]
+                elif not agents:
+                    raise ValueError(
+                        f"No agent can execute the function {self.messages[-1]['name']}. "
+                        "Please check the function_map of the agents."
+                    )
+        else:
+            agents = self.agents
+            # Warn if GroupChat is underpopulated
+            n_agents = len(agents)
+            if n_agents < 3:
+                logger.warning(
+                    f"GroupChat is underpopulated with {n_agents} agents. Direct communication would be more efficient."
+                )
+        selector.update_system_message(self.select_speaker_msg(agents))
         final, name = selector.generate_oai_reply(
             self.messages
             + [
                 {
                     "role": "system",
-                    "content": f"Read the above conversation. Then select the next role from {self.agent_names} to play. Only return the role.",
+                    "content": f"Read the above conversation. Then select the next role from {[agent.name for agent in agents]} to play. Only return the role.",
                 }
             ]
         )
         if not final:
             # i = self._random.randint(0, len(self._agent_names) - 1)  # randomly pick an id
-            return self.next_agent(last_speaker)
+            return self.next_agent(last_speaker, agents)
         try:
             return self.agent_by_name(name)
         except ValueError:
-            return self.next_agent(last_speaker)
+            return self.next_agent(last_speaker, agents)
 
     def _participant_roles(self):
         return "\n".join([f"{agent.name}: {agent.system_message}" for agent in self.agents])

test/agentchat/test_groupchat.py

@@ -1,6 +1,54 @@
+import pytest
 import autogen
 
 
+def test_func_call_groupchat():
+    agent1 = autogen.ConversableAgent(
+        "alice",
+        human_input_mode="NEVER",
+        llm_config=False,
+        default_auto_reply="This is alice sepaking.",
+    )
+    agent2 = autogen.ConversableAgent(
+        "bob",
+        human_input_mode="NEVER",
+        llm_config=False,
+        default_auto_reply="This is bob speaking.",
+        function_map={"test_func": lambda x: x},
+    )
+    groupchat = autogen.GroupChat(agents=[agent1, agent2], messages=[], max_round=3)
+    group_chat_manager = autogen.GroupChatManager(groupchat=groupchat, llm_config=False)
+    agent2.initiate_chat(group_chat_manager, message={"function_call": {"name": "test_func", "arguments": '{"x": 1}'}})
+
+    assert len(groupchat.messages) == 3
+    assert (
+        groupchat.messages[-2]["role"] == "function"
+        and groupchat.messages[-2]["name"] == "test_func"
+        and groupchat.messages[-2]["content"] == "1"
+    )
+    assert groupchat.messages[-1]["name"] == "alice"
+
+    agent3 = autogen.ConversableAgent(
+        "carol",
+        human_input_mode="NEVER",
+        llm_config=False,
+        default_auto_reply="This is carol speaking.",
+        function_map={"test_func": lambda x: x + 1},
+    )
+    groupchat = autogen.GroupChat(agents=[agent1, agent2, agent3], messages=[], max_round=3)
+    group_chat_manager = autogen.GroupChatManager(groupchat=groupchat, llm_config=False)
+    agent3.initiate_chat(group_chat_manager, message={"function_call": {"name": "test_func", "arguments": '{"x": 1}'}})
+
+    assert (
+        groupchat.messages[-2]["role"] == "function"
+        and groupchat.messages[-2]["name"] == "test_func"
+        and groupchat.messages[-2]["content"] == "1"
+    )
+    assert groupchat.messages[-1]["name"] == "carol"
+
+    agent2.initiate_chat(group_chat_manager, message={"function_call": {"name": "func", "arguments": '{"x": 1}'}})
+
+
 def test_chat_manager():
     agent1 = autogen.ConversableAgent(
         "alice",
@@ -30,6 +78,9 @@ def test_chat_manager():
     agent2.initiate_chat(group_chat_manager, message="hello")
     assert len(groupchat.messages) == 2
 
+    with pytest.raises(ValueError):
+        agent2.initiate_chat(group_chat_manager, message={"function_call": {"name": "func", "arguments": '{"x": 1}'}})
+
 
 def test_plugin():
     # Give another Agent class ability to manage group chat
@@ -62,6 +113,7 @@ def test_plugin():
 
 
 if __name__ == "__main__":
+    test_func_call_groupchat()
     # test_broadcast()
-    # test_chat_manager()
-    test_plugin()
+    test_chat_manager()
+    # test_plugin()