mirror of https://github.com/microsoft/autogen.git
621 lines
301 KiB
Plaintext
621 lines
301 KiB
Plaintext
|
{
|
||
|
|
"cells": [
|
||
|
|
{
|
||
|
|
"attachments": {},
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"<!--\n",
|
||
|
|
"tags: [\"orchestration\"]\n",
|
||
|
|
"description: |\n",
|
||
|
|
" Explore the demonstration of the Finite State Machine implementation, which allows the user to input speaker transition contraints.\n",
|
||
|
|
"-->\n",
|
||
|
|
"\n",
|
||
|
|
"# FSM - User can input speaker transition contraints.\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",
|
||
|
|
"````{=mdx}\n",
|
||
|
|
":::info Requirements\n",
|
||
|
|
"Install `pyautogen`:\n",
|
||
|
|
"```bash\n",
|
||
|
|
"pip install pyautogen\n",
|
||
|
|
"```\n",
|
||
|
|
"\n",
|
||
|
|
"For more information, please refer to the [installation guide](/docs/installation/).\n",
|
||
|
|
":::\n",
|
||
|
|
"````"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 1,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"\n",
|
||
|
|
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.0.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.0\u001b[0m\n",
|
||
|
|
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
|
||
|
|
"Note: you may need to restart the kernel to use updated packages.\n"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"%%capture --no-stderr\n",
|
||
|
|
"%pip install pyautogen[graph]>=0.2.11"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"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": [
|
||
|
|
"0.2.14\n"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"print(autogen.__version__)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"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": [
|
||
|
|
"config_list_gpt4 = {\n",
|
||
|
|
" \"timeout\": 600,\n",
|
||
|
|
" \"cache_seed\": 44, # change the seed for different trials\n",
|
||
|
|
" \"config_list\": autogen.config_list_from_json(\n",
|
||
|
|
" \"OAI_CONFIG_LIST\",\n",
|
||
|
|
" filter_dict={\"model\": [\"gpt-4\", \"gpt-4-0613\", \"gpt-4-32k\", \"gpt-4-32k-0613\", \"gpt-4-1106-preview\"]},\n",
|
||
|
|
" ),\n",
|
||
|
|
" \"temperature\": 0,\n",
|
||
|
|
"}"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 5,
|
||
|
|
"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 = {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.conversable_agent.ConversableAgent object at 0x7fd45a19da80>\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)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"## Demonstration"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"`GroupChat` now takes in two optional arguments.\n",
|
||
|
|
"- allowed_or_disallowed_speaker_transitions: The keys are source agents, and the values are agents that the key agent can/can't transit to, depending on speaker_transitions_type. Default is None, which means all agents can transit to all other agents.\n",
|
||
|
|
"- speaker_transitions_type: whether the speaker_transitions_type is a dictionary containing lists of allowed agents or disallowed agents. \"allowed\" means the `allowed_or_disallowed_speaker_transitions` is a dictionary containing lists of allowed agents."
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"### Team Operations\n"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 9,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 1200x1000 with 1 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"# 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=config_list_gpt4,\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",
|
||
|
|
"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",
|
||
|
|
"# 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": 10,
|
||
|
|
"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": 11,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"name": "stderr",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"WARNING:root:Warning: There are isolated agent nodes, there are not incoming nor outgoing edges. Isolated agents: ['User_proxy']\n",
|
||
|
|
"WARNING:root:Warning: The set of agents in allowed_speaker_transitions do not match agents. Offending agents: ['User_proxy']\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",
|
||
|
|
"As A1, I have 2 chocolates. \n",
|
||
|
|
"\n",
|
||
|
|
"A0:?, A1:2, A2:?, \n",
|
||
|
|
"B0:?, B1:?, B2:?, \n",
|
||
|
|
"C0:?, C1:?, C2:?\n",
|
||
|
|
"\n",
|
||
|
|
"NEXT: A2\n",
|
||
|
|
"\n",
|
||
|
|
"--------------------------------------------------------------------------------\n",
|
||
|
|
"\u001b[33mA2\u001b[0m (to chat_manager):\n",
|
||
|
|
"\n",
|
||
|
|
"As A2, I have 2 chocolates.\n",
|
||
|
|
"\n",
|
||
|
|
"A0:?, A1:2, A2:2, \n",
|
||
|
|
"B0:?, B1:?, B2:?, \n",
|
||
|
|
"C0:?, C1:?, C2:?\n",
|
||
|
|
"\n",
|
||
|
|
"NEXT: A0\n",
|
||
|
|
"\n",
|
||
|
|
"--------------------------------------------------------------------------------\n",
|
||
|
|
"\u001b[33mA0\u001b[0m (to chat_manager):\n",
|
||
|
|
"\n",
|
||
|
|
"As A0, I have 1 chocolate. So, the total chocolate count for team A is 5.\n",
|
||
|
|
"\n",
|
||
|
|
"A0:1, A1:2, A2:2, \n",
|
||
|
|
"B0:?, B1:?, B2:?, \n",
|
||
|
|
"C0:?, C1:?, C2:?\n",
|
||
|
|
"\n",
|
||
|
|
"Now, I suggest the next team leader to find out their team's tally.\n",
|
||
|
|
"NEXT: B0\n",
|
||
|
|
"\n",
|
||
|
|
"--------------------------------------------------------------------------------\n",
|
||
|
|
"\u001b[33mB0\u001b[0m (to chat_manager):\n",
|
||
|
|
"\n",
|
||
|
|
"As B0, I have 3 chocolates. Now, I will ask my team members about their count.\n",
|
||
|
|
"\n",
|
||
|
|
"B0:3, B1:?, B2:?, \n",
|
||
|
|
"A0:1, A1:2, A2:2, \n",
|
||
|
|
"C0:?, C1:?, C2:?\n",
|
||
|
|
"\n",
|
||
|
|
"NEXT: B1\n",
|
||
|
|
"\n",
|
||
|
|
"--------------------------------------------------------------------------------\n",
|
||
|
|
"\u001b[33mB1\u001b[0m (to chat_manager):\n",
|
||
|
|
"\n",
|
||
|
|
"As B1, I have 1 chocolate.\n",
|
||
|
|
"\n",
|
||
|
|
"B0:3, B1:1, B2:?, \n",
|
||
|
|
"A0:1, A1:2, A2:2, \n",
|
||
|
|
"C0:?, C1:?, C2:?\n",
|
||
|
|
"\n",
|
||
|
|
"NEXT: B2\n",
|
||
|
|
"\n",
|
||
|
|
"--------------------------------------------------------------------------------\n",
|
||
|
|
"\u001b[33mB2\u001b[0m (to chat_manager):\n",
|
||
|
|
"\n",
|
||
|
|
"As B2, I have 2 chocolates. So, the total chocolate count for team B is 6.\n",
|
||
|
|
"\n",
|
||
|
|
"B0:3, B1:1, B2:2, \n",
|
||
|
|
"A0:1, A1:2, A2:2, \n",
|
||
|
|
"C0:?, C1:?, C2:?\n",
|
||
|
|
"\n",
|
||
|
|
"Now, I suggest the next team leader to find out their team's tally.\n",
|
||
|
|
"NEXT: C0\n",
|
||
|
|
"\n",
|
||
|
|
"--------------------------------------------------------------------------------\n",
|
||
|
|
"\u001b[33mB0\u001b[0m (to chat_manager):\n",
|
||
|
|
"\n",
|
||
|
|
"As C0, I have 4 chocolates. Now, I will ask my team members about their count.\n",
|
||
|
|
"\n",
|
||
|
|
"C0:4, C1:?, C2:?, \n",
|
||
|
|
"B0:3, B1:1, B2:2, \n",
|
||
|
|
"A0:1, A1:2, A2:2, \n",
|
||
|
|
"\n",
|
||
|
|
"NEXT: C1\n",
|
||
|
|
"\n",
|
||
|
|
"--------------------------------------------------------------------------------\n",
|
||
|
|
"\u001b[33mC0\u001b[0m (to chat_manager):\n",
|
||
|
|
"\n",
|
||
|
|
"As C1, I have 2 chocolates.\n",
|
||
|
|
"\n",
|
||
|
|
"C0:4, C1:2, C2:?, \n",
|
||
|
|
"B0:3, B1:1, B2:2, \n",
|
||
|
|
"A0:1, A1:2, A2:2, \n",
|
||
|
|
"\n",
|
||
|
|
"NEXT: C2\n",
|
||
|
|
"\n",
|
||
|
|
"--------------------------------------------------------------------------------\n",
|
||
|
|
"\u001b[33mC2\u001b[0m (to chat_manager):\n",
|
||
|
|
"\n",
|
||
|
|
"As C2, I have 1 chocolate. So, the total chocolate count for team C is 7.\n",
|
||
|
|
"\n",
|
||
|
|
"C0:4, C1:2, C2:1, \n",
|
||
|
|
"B0:3, B1:1, B2:2, \n",
|
||
|
|
"A0:1, A1:2, A2:2, \n",
|
||
|
|
"\n",
|
||
|
|
"Now, we have the total tally from all nine players. The sum of all three teams' tally is 18. \n",
|
||
|
|
"\n",
|
||
|
|
"TERMINATE.\n",
|
||
|
|
"\n",
|
||
|
|
"--------------------------------------------------------------------------------\n"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"text/plain": [
|
||
|
|
"ChatResult(chat_history=[{'content': '\\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', 'role': 'assistant'}, {'content': 'As A1, I have 2 chocolates. \\n\\nA0:?, A1:2, A2:?, \\nB0:?, B1:?, B2:?, \\nC0:?, C1:?, C2:?\\n\\nNEXT: A2', 'name': 'A1', 'role': 'user'}, {'content': 'As A2, I have 2 chocolates.\\n\\nA0:?, A1:2, A2:2, \\nB0:?, B1:?, B2:?, \\nC0:?, C1:?, C2:?\\n\\nNEXT: A0', 'name': 'A2', 'role': 'user'}, {'content': \"As A0, I have 1 chocolate. So, the total chocolate count for team A is 5.\\n\\nA0:1, A1:2, A2:2, \\nB0:?, B1:?, B2:?, \\nC0:?, C1:?, C2:?\\n\\nNow, I suggest the next team leader to find out their team's tally.\\nNEXT: B0\", 'role': 'assistant'}, {'content': 'As B0, I have 3 chocolates. Now, I will ask my team members about their count.\\n\\nB0:3, B1:?, B2:?, \\nA0:1, A1:2, A2:2, \\nC0:?, C1:?, C2:?\\n\\nNEXT: B1', 'name': 'B0', 'role': 'user'}, {'content': 'As B1, I have 1 chocolate.\\n\\nB0:3, B1:1, B2:?, \\nA0:1, A1:2, A2:2, \\nC0:?, C1:?, C2:?\\n\\nNEXT: B2', 'name': 'B1', 'role': 'user'}, {'content': \"As B2, I have 2 chocolates. So, the total chocolate count for team B is 6.\\n\\nB0:3, B1:1, B2:2, \\nA0:1, A1:2, A2:2, \\nC0:?, C1:?, C2:?\\n\\nNow, I suggest the next team leader to find out their team's tally.\\nNEXT: C0\", 'name': 'B2', 'role': 'user'}, {'content': 'As C0, I have 4 chocolates. Now, I will ask my team members about their count.\\n\\nC0:4, C1:?, C2:?, \\nB0:3, B1:1, B2:2, \\nA0:1, A1:2, A2:2, \\n\\nNEXT: C1', 'name': 'B0', 'role': 'user'}, {'content': 'As C1, I have 2 chocolates.\\n\\nC0:4, C1:2, C2:?, \\nB0:3, B1:1, B2:2, \\nA0:1, A1:2, A2:2, \\n\\nNEXT: C2', 'name': 'C0', 'role': 'user'}, {'content': \"As C2, I have 1 chocolate. So, the total chocolate count for team C is 7.\\n\\nC0:4, C1:2, C2:1, \\nB0:3, B1:1, B2:2, \\nA0:1, A1:2, A2:2, \\n\\nNow, we have the total tally from all nine players. The sum of all three teams' tally is 18. \\n\\nTERMINATE.\", 'name': 'C2', 'role': 'user'}], summary=\"As C2, I have 1 chocolate. So, the total chocolate count for team C is 7.\\n\\nC0:4, C1:2, C2:1, \\nB0:3, B1:1, B2:2, \\nA0:1, A1:2, A2:2, \\n\\nNow, we have the total tally from all nine players. The sum of all three teams' tally is 18. \\n\\n.\", cost=({'total_cost': 0.48207, 'gpt-4-0613': {'cost': 0.48207, 'prompt_tokens': 15865, 'completion_tokens': 102, 'total_tokens': 15967}}, {'total_cost': 0.48207, 'gpt-4-0613': {'cost': 0.48207, 'prompt_tokens': 15865, 'completion_tokens': 102, 'total_tokens': 15967}}), human_input=[])"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"execution_count": 11,
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "execute_result"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"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,\n",
|
||
|
|
" llm_config=config_list_gpt4,\n",
|
||
|
|
" code_execution_config=False,\n",
|
||
|
|
" 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",
|
||
|
|
")"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"metadata": {
|
||
|
|
"kernelspec": {
|
||
|
|
"display_name": "Python 3 (ipykernel)",
|
||
|
|
"language": "python",
|
||
|
|
"name": "python3"
|
||
|
|
},
|
||
|
|
"language_info": {
|
||
|
|
"codemirror_mode": {
|
||
|
|
"name": "ipython",
|
||
|
|
"version": 3
|
||
|
|
},
|
||
|
|
"file_extension": ".py",
|
||
|
|
"mimetype": "text/x-python",
|
||
|
|
"name": "python",
|
||
|
|
"nbconvert_exporter": "python",
|
||
|
|
"pygments_lexer": "ipython3",
|
||
|
|
"version": "3.10.12"
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"nbformat": 4,
|
||
|
|
"nbformat_minor": 4
|
||
|
|
}
|