autogen/notebook/agentchat_graph_modelling_language_using_select_speaker.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"https://colab.research.google.com/github/microsoft/autogen/blob/main/notebook/agentchat_graph_modelling_language_using_select_speaker.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Auto Generated Agent Chat: Graph Modeling Language with using select_speaker\n",
    "\n",
    "AutoGen offers conversable agents powered by LLM, tool, or human, which can be used to perform tasks collectively via automated chat. This framework allows tool use and human participation through multi-agent conversation.\n",
    "Please find documentation about this feature [here](https://microsoft.github.io/autogen/docs/Use-Cases/agent_chat).\n",
    "\n",
    "This notebook is about using graphs to define the transition paths amongst speakers.\n",
    "\n",
    "Benefits\n",
    "- This contribution fills the gap between the current modes of GroupChat Class (auto, manual, round_robin) and an expressive directed graph. See Motivation for more detailed discussion.\n",
    "\n",
    "\n",
    "## Requirements\n",
    "\n",
    "AutoGen requires `Python>=3.8`. To run this notebook example, please install:\n",
    "```bash\n",
    "pip install pyautogen\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture --no-stderr\n",
    "# %pip install \"pyautogen>=0.2.3\"\n",
    "%pip install pyautogen[graph]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random  # noqa E402\n",
    "\n",
    "import matplotlib.pyplot as plt  # noqa E402\n",
    "import networkx as nx  # noqa E402\n",
    "\n",
    "import autogen  # noqa E402\n",
    "from autogen.agentchat.conversable_agent import ConversableAgent  # noqa E402\n",
    "from autogen.agentchat.assistant_agent import AssistantAgent  # noqa E402\n",
    "from autogen.agentchat.groupchat import GroupChat  # noqa E402\n",
    "from autogen.graph_utils import visualize_speaker_transitions_dict  # noqa E402"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.2.5\n"
     ]
    }
   ],
   "source": [
    "print(autogen.__version__)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Motivation\n",
    "\n",
    "\n",
    "The current GroupChat class allows transition to any agent (without or without the decision of LLM), some use case might demand for more control over transition. A graph is a possible way to control the transition paths, where each node represents an agent and each directed edge represent possible transition path. Let's illustrate the current transition paths for a GroupChat with five agents."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The default config list in notebook.\n",
    "config_list_gpt4 = autogen.config_list_from_json(\n",
    "    \"OAI_CONFIG_LIST\",\n",
    "    filter_dict={\n",
    "        \"model\": [\"gpt-4\", \"gpt-4-0314\", \"gpt4\", \"gpt-4-32k\", \"gpt-4-32k-0314\", \"gpt-4-32k-v0314\"],\n",
    "    },\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "agents = [ConversableAgent(name=f\"Agent{i}\", llm_config=False) for i in range(5)]\n",
    "allowed_speaker_transitions_dict = {agent: [other_agent for other_agent in agents] for agent in agents}\n",
    "\n",
    "visualize_speaker_transitions_dict(allowed_speaker_transitions_dict, agents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Possibly interesting transition paths\n",
    "1. Hub and Spoke\n",
    "2. Sequential Team Operations\n",
    "3. Think aloud and debate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "agents = [ConversableAgent(name=f\"Agent{i}\", llm_config=False) for i in range(5)]\n",
    "allowed_speaker_transitions_dict = {\n",
    "    agents[0]: [agents[1], agents[2], agents[3], agents[4]],\n",
    "    agents[1]: [agents[0]],\n",
    "    agents[2]: [agents[0]],\n",
    "    agents[3]: [agents[0]],\n",
    "    agents[4]: [agents[0]],\n",
    "}\n",
    "\n",
    "visualize_speaker_transitions_dict(allowed_speaker_transitions_dict, agents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<autogen.agentchat.agent.Agent object at 0x7fbf958831c0>\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Sequential Team Operations\n",
    "# Create an empty directed graph\n",
    "\n",
    "speaker_transitions_dict = {}\n",
    "teams = [\"A\", \"B\", \"C\"]\n",
    "team_size = 5\n",
    "\n",
    "\n",
    "def get_agent_of_name(agents, name) -> ConversableAgent:\n",
    "    for agent in agents:\n",
    "        if agent.name == name:\n",
    "            return agent\n",
    "\n",
    "\n",
    "# Create a list of 15 agents 3 teams x 5 agents\n",
    "agents = [ConversableAgent(name=f\"{team}{i}\", llm_config=False) for team in teams for i in range(team_size)]\n",
    "\n",
    "# Loop through each team and add members and their connections\n",
    "for team in teams:\n",
    "    for i in range(team_size):\n",
    "        member = f\"{team}{i}\"\n",
    "        # Connect each member to other members of the same team\n",
    "        speaker_transitions_dict[get_agent_of_name(agents, member)] = [\n",
    "            get_agent_of_name(agents, name=f\"{team}{j}\") for j in range(team_size) if j != i\n",
    "        ]\n",
    "\n",
    "# Team leaders connection\n",
    "print(get_agent_of_name(agents, name=\"B0\"))\n",
    "speaker_transitions_dict[get_agent_of_name(agents, \"A0\")].append(get_agent_of_name(agents, name=\"B0\"))\n",
    "speaker_transitions_dict[get_agent_of_name(agents, \"B0\")].append(get_agent_of_name(agents, name=\"C0\"))\n",
    "\n",
    "visualize_speaker_transitions_dict(speaker_transitions_dict, agents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "agents = [ConversableAgent(name=f\"Agent{i}\", llm_config=False) for i in range(2)]\n",
    "allowed_speaker_transitions_dict = {\n",
    "    agents[0]: [agents[0], agents[1]],\n",
    "    agents[1]: [agents[0], agents[1]],\n",
    "}\n",
    "\n",
    "visualize_speaker_transitions_dict(allowed_speaker_transitions_dict, agents)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set your API Endpoint\n",
    "\n",
    "The [`config_list_from_json`](https://microsoft.github.io/autogen/docs/reference/oai/openai_utils#config_list_from_json) function loads a list of configurations from an environment variable or a json file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The default config list in notebook.\n",
    "config_list = autogen.config_list_from_json(\n",
    "    \"OAI_CONFIG_LIST\",\n",
    "    file_location=\".\",\n",
    "    filter_dict={\n",
    "        \"model\": [\"gpt-3.5-turbo\", \"gpt-35-turbo\", \"gpt-35-turbo-0613\", \"gpt-4\", \"gpt4\", \"gpt-4-32k\"],\n",
    "    },\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It first looks for environment variable \"OAI_CONFIG_LIST\" which needs to be a valid json string. If that variable is not found, it then looks for a json file named \"OAI_CONFIG_LIST\". It filters the configs by models (you can filter by other keys as well). Only the gpt-4 models are kept in the list based on the filter condition.\n",
    "\n",
    "The config list looks like the following:\n",
    "```python\n",
    "config_list = [\n",
    "    {\n",
    "        'model': 'gpt-4',\n",
    "        'api_key': '<your OpenAI API key here>',\n",
    "    },\n",
    "    {\n",
    "        'model': 'gpt-4',\n",
    "        'api_key': '<your Azure OpenAI API key here>',\n",
    "        'base_url': '<your Azure OpenAI API base here>',\n",
    "        'api_type': 'azure',\n",
    "        'api_version': '2023-06-01-preview',\n",
    "    },\n",
    "    {\n",
    "        'model': 'gpt-4-32k',\n",
    "        'api_key': '<your Azure OpenAI API key here>',\n",
    "        'base_url': '<your Azure OpenAI API base here>',\n",
    "        'api_type': 'azure',\n",
    "        'api_version': '2023-06-01-preview',\n",
    "    },\n",
    "]\n",
    "```\n",
    "\n",
    "If you open this notebook in colab, you can upload your files by clicking the file icon on the left panel and then choosing \"upload file\" icon.\n",
    "\n",
    "You can set the value of config_list in other ways you prefer, e.g., loading from a YAML file."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Demonstration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`GroupChat` now takes in two optional arguments.\n",
    "- speaker_transitions_dict: a dictionary of keys and list as values. The keys are the names of the agents, and the values are the agents that the key agent can transition to. Default is None, in which case a fully connected graph is assumed.\n",
    "- is_allowed_graph: whether the speaker_transitions_dict is a list of allowed agents or disallowed agents. Default is True, in which case the speaker_transitions_dict is a list of allowed agents. If set to False, then the speaker_transitions_dict is a list of disallowed agents."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Team Operations\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# llm config\n",
    "llm_config = {\"config_list\": config_list_gpt4, \"cache_seed\": 100}\n",
    "\n",
    "# Create an empty directed graph\n",
    "agents = []\n",
    "speaker_transitions_dict = {}\n",
    "secret_values = {}\n",
    "\n",
    "# Outer loop for prefixes 'A', 'B', 'C'\n",
    "for prefix in [\"A\", \"B\", \"C\"]:\n",
    "    # Add 3 nodes with each prefix to the graph using a for loop\n",
    "    for i in range(3):\n",
    "        node_id = f\"{prefix}{i}\"\n",
    "        secret_value = random.randint(1, 5)  # Generate a random secret value\n",
    "        secret_values[node_id] = secret_value\n",
    "\n",
    "        # Create an AssistantAgent for each node (assuming AssistantAgent is a defined class)\n",
    "        agents.append(\n",
    "            AssistantAgent(\n",
    "                name=node_id,\n",
    "                system_message=f\"\"\"Your name is {node_id}.\n",
    "                                          Do not respond as the speaker named in the NEXT tag if your name is not in the NEXT tag. Instead, suggest a relevant team leader to handle the mis-tag, with the NEXT: tag.\n",
    "\n",
    "                                          You have {secret_value} chocolates.\n",
    "\n",
    "                                          The list of players are [A0, A1, A2, B0, B1, B2, C0, C1, C2].\n",
    "\n",
    "                                            Your first character of your name is your team, and your second character denotes that you are a team leader if it is 0.\n",
    "                                            CONSTRAINTS: Team members can only talk within the team, whilst team leader can talk to team leaders of other teams but not team members of other teams.\n",
    "\n",
    "                                            You can use NEXT: to suggest the next speaker. You have to respect the CONSTRAINTS, and can only suggest one player from the list of players, i.e., do not suggest A3 because A3 is not from the list of players.\n",
    "                                            Team leaders must make sure that they know the sum of the individual chocolate count of all three players in their own team, i.e., A0 is responsible for team A only.\n",
    "\n",
    "                                          Keep track of the player's tally using a JSON format so that others can check the total tally. Use\n",
    "                                          A0:?, A1:?, A2:?,\n",
    "                                          B0:?, B1:?, B2:?,\n",
    "                                          C0:?, C1:?, C2:?\n",
    "\n",
    "                                          If you are the team leader, you should aggregate your team's total chocolate count to cooperate.\n",
    "                                          Once the team leader know their team's tally, they can suggest another team leader for them to find their team tally, because we need all three team tallys to succeed.\n",
    "                                          Use NEXT: to suggest the next speaker, e.g., NEXT: A0.\n",
    "\n",
    "                                          Once we have the total tally from all nine players, sum up all three teams' tally, then terminate the discussion using TERMINATE.\n",
    "\n",
    "                                          \"\"\",\n",
    "                llm_config=llm_config,\n",
    "            )\n",
    "        )\n",
    "        speaker_transitions_dict[agents[-1]] = []\n",
    "\n",
    "    # Add edges between nodes with the same prefix using a nested for loop\n",
    "    for source_node in range(3):\n",
    "        source_id = f\"{prefix}{source_node}\"\n",
    "        for target_node in range(3):\n",
    "            target_id = f\"{prefix}{target_node}\"\n",
    "            if source_node != target_node:  # To avoid self-loops\n",
    "                speaker_transitions_dict[get_agent_of_name(agents, source_id)].append(\n",
    "                    get_agent_of_name(agents, name=target_id)\n",
    "                )\n",
    "\n",
    "\n",
    "# Adding edges between teams\n",
    "speaker_transitions_dict[get_agent_of_name(agents, \"A0\")].append(get_agent_of_name(agents, name=\"B0\"))\n",
    "speaker_transitions_dict[get_agent_of_name(agents, \"A0\")].append(get_agent_of_name(agents, name=\"C0\"))\n",
    "speaker_transitions_dict[get_agent_of_name(agents, \"B0\")].append(get_agent_of_name(agents, name=\"A0\"))\n",
    "speaker_transitions_dict[get_agent_of_name(agents, \"B0\")].append(get_agent_of_name(agents, name=\"C0\"))\n",
    "speaker_transitions_dict[get_agent_of_name(agents, \"C0\")].append(get_agent_of_name(agents, name=\"A0\"))\n",
    "speaker_transitions_dict[get_agent_of_name(agents, \"C0\")].append(get_agent_of_name(agents, name=\"B0\"))\n",
    "\n",
    "\n",
    "# Visualization only\n",
    "\n",
    "graph = nx.DiGraph()\n",
    "\n",
    "# Add nodes\n",
    "graph.add_nodes_from([agent.name for agent in agents])\n",
    "\n",
    "# Add edges\n",
    "for key, value in speaker_transitions_dict.items():\n",
    "    for agent in value:\n",
    "        graph.add_edge(key.name, agent.name)\n",
    "\n",
    "# Visualize\n",
    "\n",
    "\n",
    "# Draw the graph with secret values annotated\n",
    "plt.figure(figsize=(12, 10))\n",
    "pos = nx.spring_layout(graph)  # positions for all nodes\n",
    "\n",
    "# Draw nodes with their colors\n",
    "nx.draw(graph, pos, with_labels=True, font_weight=\"bold\")\n",
    "\n",
    "# Annotate secret values\n",
    "for node, (x, y) in pos.items():\n",
    "    secret_value = secret_values[node]\n",
    "    plt.text(x, y + 0.1, s=f\"Secret: {secret_value}\", horizontalalignment=\"center\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Termination message detection\n",
    "\n",
    "\n",
    "def is_termination_msg(content) -> bool:\n",
    "    have_content = content.get(\"content\", None) is not None\n",
    "    if have_content and \"TERMINATE\" in content[\"content\"]:\n",
    "        return True\n",
    "    return False\n",
    "\n",
    "\n",
    "# Terminates the conversation when TERMINATE is detected.\n",
    "user_proxy = autogen.UserProxyAgent(\n",
    "    name=\"User_proxy\",\n",
    "    system_message=\"Terminator admin.\",\n",
    "    code_execution_config=False,\n",
    "    is_termination_msg=is_termination_msg,\n",
    "    human_input_mode=\"NEVER\",\n",
    ")\n",
    "\n",
    "agents.append(user_proxy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:root:Warning: There are agents in self.agents not in graph.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[33mA0\u001b[0m (to chat_manager):\n",
      "\n",
      "\n",
      "                        There are 9 players in this game, split equally into Teams A, B, C. Therefore each team has 3 players, including the team leader.\n",
      "                        The task is to find out the sum of chocolate count from all nine players. I will now start with my team.\n",
      "                        NEXT: A1\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mA1\u001b[0m (to chat_manager):\n",
      "\n",
      "Sure, I, A1, have 3 chocolates. NEXT: A2\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mA2\u001b[0m (to chat_manager):\n",
      "\n",
      "As A2, I have 5 chocolates.\n",
      "\n",
      "So currently our tally is:\n",
      "A0:?, A1:3, A2:5, B0:?, B1:?, B2:?, C0:?, C1:?, C2:?\n",
      "  \n",
      "NEXT: A0\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mA0\u001b[0m (to chat_manager):\n",
      "\n",
      "Okay, as A0, I have 1 chocolate.\n",
      "\n",
      "Therefore, total chocolate count of team A is: \n",
      "1 (A0's chocolates) + 3 (A1's chocolates) + 5 (A2's chocolates) = 9 chocolates \n",
      "\n",
      "The running tally is:\n",
      "A0:1, A1:3, A2:5, \n",
      "B0:?, B1:?, B2:?, \n",
      "C0:?, C1:?, C2:?\n",
      "\n",
      "I suggest we move on to the next team. \n",
      "\n",
      "NEXT: B0\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mB0\u001b[0m (to chat_manager):\n",
      "\n",
      "As B0, I need to gather the count from my team members. \n",
      "\n",
      "NEXT: B1\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mB1\u001b[0m (to chat_manager):\n",
      "\n",
      "As B1, I have 1 chocolate. \n",
      "\n",
      "NEXT: B2\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mB2\u001b[0m (to chat_manager):\n",
      "\n",
      "As B2, I have 4 chocolates. \n",
      "\n",
      "So currently, our team B tally is:\n",
      "B0:?, B1:1, B2:4 \n",
      "\n",
      "NEXT: B0\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mB0\u001b[0m (to chat_manager):\n",
      "\n",
      "As B0, I have 1 chocolate. So, the total chocolate count for team B is:\n",
      "1 (B0's chocolates) + 1 (B1's chocolates) + 4 (B2's chocolates) = 6 chocolates.\n",
      "\n",
      "The updated tally is:\n",
      "A0:1, A1:3, A2:5, \n",
      "B0:1, B1:1, B2:4, \n",
      "C0:?, C1:?, C2:?\n",
      "\n",
      "I suggest we move on to the next team.\n",
      "\n",
      "NEXT: C0\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mC0\u001b[0m (to chat_manager):\n",
      "\n",
      "As C0, I will now gather the count from my team members. \n",
      "\n",
      "NEXT: C1\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mC1\u001b[0m (to chat_manager):\n",
      "\n",
      "As C1, I have 2 chocolates.\n",
      "\n",
      "NEXT: C2\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mC2\u001b[0m (to chat_manager):\n",
      "\n",
      "As C2, I have 1 chocolate.\n",
      "\n",
      "So currently, our team C tally is:\n",
      "C0:?, C1:2, C2:1\n",
      "\n",
      "NEXT: C0\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mC0\u001b[0m (to chat_manager):\n",
      "\n",
      "As C0, I'm the team leader and I have 1 chocolate. So, the total chocolate count for team C is:\n",
      "1 (C0's chocolates) + 2 (C1's chocolates) + 1 (C2's chocolates) = 4 chocolates.\n",
      "\n",
      "The final tally is:\n",
      "A0:1, A1:3, A2:5, \n",
      "B0:1, B1:1, B2:4, \n",
      "C0:1, C1:2, C2:1\n",
      "\n",
      "Now, the sum of chocolates from all nine players is:\n",
      "9 (team A's chocolates) + 6 (team B's chocolates) + 4 (team C's chocolates) = 19 chocolates.\n",
      "\n",
      "TERMINATE.\n",
      "\n",
      "\n",
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "group_chat = GroupChat(\n",
    "    agents=agents,\n",
    "    messages=[],\n",
    "    max_round=20,\n",
    "    allowed_or_disallowed_speaker_transitions=speaker_transitions_dict,\n",
    "    speaker_transitions_type=\"allowed\",\n",
    ")\n",
    "\n",
    "\n",
    "# Create the manager\n",
    "manager = autogen.GroupChatManager(\n",
    "    groupchat=group_chat, llm_config=llm_config, code_execution_config=False, is_termination_msg=is_termination_msg\n",
    ")\n",
    "\n",
    "\n",
    "# Initiates the chat with Alice\n",
    "agents[0].initiate_chat(\n",
    "    manager,\n",
    "    message=\"\"\"\n",
    "                        There are 9 players in this game, split equally into Teams A, B, C. Therefore each team has 3 players, including the team leader.\n",
    "                        The task is to find out the sum of chocolate count from all nine players. I will now start with my team.\n",
    "                        NEXT: A1\"\"\",\n",
    ")"
   ]
  }
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