diff --git a/autogen/agentchat/contrib/agent_builder.py b/autogen/agentchat/contrib/agent_builder.py index 2e7fbaa835..8b73a11cfa 100644 --- a/autogen/agentchat/contrib/agent_builder.py +++ b/autogen/agentchat/contrib/agent_builder.py @@ -267,7 +267,7 @@ def _create_agent( description = agent_config["description"] # Path to the customize **ConversableAgent** class. - model_path = agent_config.get("model_path", None) + agent_path = agent_config.get("agent_path", None) filter_dict = {} if len(model_name_or_hf_repo) > 0: filter_dict.update({"model": model_name_or_hf_repo}) @@ -302,8 +302,8 @@ def _create_agent( ) model_class = autogen.AssistantAgent - if model_path: - module_path, model_class_name = model_path.replace("/", ".").rsplit(".", 1) + if agent_path: + module_path, model_class_name = agent_path.replace("/", ".").rsplit(".", 1) module = importlib.import_module(module_path) model_class = getattr(module, model_class_name) if not issubclass(model_class, autogen.ConversableAgent): @@ -313,7 +313,7 @@ def _create_agent( additional_config = { k: v for k, v in agent_config.items() - if k not in ["model", "name", "system_message", "description", "model_path", "tags"] + if k not in ["model", "name", "system_message", "description", "agent_path", "tags"] } agent = model_class( name=agent_name, llm_config=current_config.copy(), description=description, **additional_config diff --git a/autogen/agentchat/contrib/captainagent.py b/autogen/agentchat/contrib/captainagent.py index 43f4609bc4..963aed09a4 100644 --- a/autogen/agentchat/contrib/captainagent.py +++ b/autogen/agentchat/contrib/captainagent.py @@ -16,6 +16,27 @@ class CaptainAgent(ConversableAgent): (In preview) Captain agent, designed to solve a task with an agent or a group of agents. """ + DEFAULT_NESTED_CONFIG = { + "autobuild_init_config": { + "config_file_or_env": "OAI_CONFIG_LIST", + "builder_model": "gpt-4o-mini", + "agent_model": "gpt-4o-mini", + }, + "autobuild_build_config": { + "default_llm_config": {"temperature": 1, "top_p": 0.95, "max_tokens": 2048}, + "code_execution_config": { + "timeout": 300, + "work_dir": "groupchat", + "last_n_messages": 1, + "use_docker": False, + }, + "coding": True, + }, + "group_chat_config": {"max_round": 10}, + "group_chat_llm_config": None, + "max_turns": 5, + } + AUTOBUILD_TOOL = { "type": "function", "function": { @@ -104,6 +125,9 @@ class CaptainAgent(ConversableAgent): DEFAULT_DESCRIPTION = "A helpful AI assistant that can build a group of agents at a proper time to solve a task." + # This is used to prompt the LLM to summarize the conversation history between CaptainAgent's tool execution history + SUMMARY_PROMPT = "Read the following conversation history between an expert and a group of agent experts, summarize the conversation history. You should include the initial task, the experts' plan and the attempt, finally the results of the conversation." + def __init__( self, name: str, @@ -146,6 +170,9 @@ def __init__( if system_message is None: system_message = self.AUTOBUILD_SYSTEM_MESSAGE + nested_config = self._update_config(self.DEFAULT_NESTED_CONFIG, nested_config) + if nested_config["group_chat_llm_config"] is None: + nested_config["group_chat_llm_config"] = llm_config.copy() self.assistant = ConversableAgent( name="CaptainAgent", @@ -166,9 +193,11 @@ def __init__( { "sender": self.executor, "recipient": self.assistant, - "max_turns": 6, - # "message": message, + "max_turns": nested_config["max_turns"], "summary_method": "reflection_with_llm", + "summary_args": { + "summary_prompt": "Please summarize the conversation history derived from an experts' group chat.", + }, } ], trigger=UserProxyAgent, @@ -176,17 +205,24 @@ def __init__( position=0, ) + @staticmethod + def _update_config(default_dict: Dict, update_dict: Optional[Dict]) -> Dict: + """ + Recursively updates the default_dict with values from update_dict. + """ + if update_dict is None: + return default_dict + + for key, value in update_dict.items(): + default_value = default_dict.get(key) + if isinstance(default_value, dict) and isinstance(value, dict): + # Recursively update nested dictionaries + default_dict[key] = CaptainAgent._update_config(default_value, value) + else: + # Update the value or add new key + default_dict[key] = value -def check_nested_config(nested_config: Dict): - if "autobuild_init_config" in nested_config.keys(): - assert ( - "autobuild_build_config" in nested_config.keys() - ), "autobuild_build_config is required when using autobuild as nested mode." - assert ( - "group_chat_llm_config" in nested_config.keys() - ), "group_chat_llm_config is required when using autobuild as nested mode." - else: - raise ValueError("nested_config should contain either autobuild_init_config or meta_prompting_llm_config.") + return default_dict class CaptainUserProxyAgent(ConversableAgent): @@ -312,7 +348,6 @@ def __init__( "seek_experts_help": lambda **args: self._run_autobuild(**args), } ) - check_nested_config(nested_config) self._agent_config_save_path = agent_config_save_path self._nested_config = nested_config.copy() self._code_execution_config = code_execution_config @@ -323,8 +358,7 @@ def __init__( def _run_autobuild(self, group_name: str, execution_task: str, building_task: str = "") -> str: """ Build a group of agents by AutoBuild to solve the task. - This function requires the nested_config to contain the autobuild_init_config, - autobuild_llm_config, group_chat_llm_config. + This function requires the nested_config to contain the autobuild_init_config, autobuild_llm_config, group_chat_llm_config. """ print("==> Running AutoBuild...", flush=True) print("\n==> Building task: ", building_task, flush=True) diff --git a/notebook/test_captainagent.ipynb b/notebook/test_captainagent.ipynb index 667cf0e4f9..75dffb175d 100644 --- a/notebook/test_captainagent.ipynb +++ b/notebook/test_captainagent.ipynb @@ -36,34 +36,19 @@ "llm_config = {\n", " \"config_list\": autogen.config_list_from_json(\"OAI_CONFIG_LIST\", filter_dict={\"model\": \"gpt-4o-mini\"}),\n", "}\n", - "nested_config = {\n", - " \"autobuild_init_config\": {\n", - " \"config_file_or_env\": \"OAI_CONFIG_LIST\",\n", - " \"builder_model\": \"gpt-4o-mini\",\n", - " \"agent_model\": \"gpt-4o-mini\",\n", - " },\n", - " # this is used to configure the autobuild building process\n", - " \"autobuild_build_config\": {\n", - " \"default_llm_config\": {\"temperature\": 1, \"top_p\": 0.95, \"max_tokens\": 1500, \"seed\": 52},\n", - " # this is used to configure the user proxy within nested chat\n", - " \"code_execution_config\": {\"timeout\": 300, \"work_dir\": \"groupchat\", \"last_n_messages\": 1},\n", - " \"coding\": True,\n", - " },\n", - " \"group_chat_config\": {\"max_round\": 15},\n", - " \"group_chat_llm_config\": llm_config.copy(),\n", - "}\n", "\n", "captain_agent = CaptainAgent(\n", " name=\"captain_agent\",\n", " llm_config=llm_config,\n", - " nested_config=nested_config,\n", + " code_execution_config={\"use_docker\": False, \"work_dir\": \"groupchat\"},\n", + " # nested_config=nested_config,\n", ")\n", - "user_proxy = UserProxyAgent(name=\"user_proxy\", code_execution_config={\"use_docker\": False}, human_input_mode=\"NEVER\")" + "user_proxy = UserProxyAgent(name=\"user_proxy\", human_input_mode=\"NEVER\")" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -72,7 +57,7 @@ "text": [ "\u001b[33muser_proxy\u001b[0m (to captain_agent):\n", "\n", - "Call your group of experts and let's solve a game of 24. The numbers are 2, 3, 4, 5. You can use any of the four basic operations (+, -, *, /) to combine the numbers to get 24.\n", + "Assemble a team of experts, find the stock price of Microsoft in the past 1 year and plot a line chart to show the trend. Save the line chart as \"microsoft_stock_price.png\".\n", "\n", "--------------------------------------------------------------------------------\n", "\u001b[34m\n", @@ -82,16 +67,16 @@ "********************************************************************************\u001b[0m\n", "\u001b[33mExpert_summoner\u001b[0m (to CaptainAgent):\n", "\n", - "Call your group of experts and let's solve a game of 24. The numbers are 2, 3, 4, 5. You can use any of the four basic operations (+, -, *, /) to combine the numbers to get 24.\n", + "Assemble a team of experts, find the stock price of Microsoft in the past 1 year and plot a line chart to show the trend. Save the line chart as \"microsoft_stock_price.png\".\n", "\n", "--------------------------------------------------------------------------------\n", "\u001b[31m\n", ">>>>>>>> USING AUTO REPLY...\u001b[0m\n", "\u001b[33mCaptainAgent\u001b[0m (to Expert_summoner):\n", "\n", - "\u001b[32m***** Suggested tool call (call_3xtr1JCpsJHmQB8VJWblUPPm): seek_experts_help *****\u001b[0m\n", + "\u001b[32m***** Suggested tool call (call_2JJvuE6dC1HNW1lf4oMAvton): seek_experts_help *****\u001b[0m\n", "Arguments: \n", - "{\"group_name\":\"Game24Solver\",\"building_task\":\"- Arithmetic Expert: Proficient in mathematical operations and capable of evaluating different combinations of numbers and operations to reach a target number.\\n- Strategy Expert: Skilled in identifying strategic approaches and solutions to reach a specific goal using given resources.\\n- Verification Expert: Thorough in checking the accuracy of solutions and ensuring that the result is achievable under given constraints.\",\"execution_task\":\"## Task description\\nSolve the game of 24 using the numbers 2, 3, 4, 5 with any of the four basic operations (+, -, *, /) to reach the number 24.\\n\\n## Plan for solving the task\\n1. List all possible combinations of the numbers 2, 3, 4, and 5.\\n2. Apply the four basic operations to these combinations and evaluate the expressions.\\n3. Identify any expressions that equal 24.\\n\\n## Output format\\n- A mathematical expression using the numbers 2, 3, 4, 5 and any combination of the operations +, -, *, / that evaluates to 24.\\n\\n## Constraints and conditions for completion\\n- All numbers must be used exactly once.\\n- Only the basic operations can be used.\\n- The final result must be 24.\"}\n", + "{\"group_name\":\"Stock_analysis_experts\",\"building_task\":\"- A financial analyst with experience in analyzing stock market data, proficient in using Python libraries such as yfinance to fetch financial data from the internet.\\n- A data visualization expert who specializes in creating line charts using Python libraries such as matplotlib.\\n- A data verification specialist to ensure the accuracy and completeness of the financial data and the resulting visualizations.\",\"execution_task\":\"## Task description\\nFind the stock price of Microsoft (MSFT) for the past 1 year and plot a line chart to show the price trend. Save the resulting line chart as a file named \\\"microsoft_stock_price.png\\\".\\n\\n## Plan for solving the task\\n1. Use a Python library like `yfinance` to fetch Microsoft's stock price data for the last 1 year.\\n2. Utilize a data visualization library such as `matplotlib` to create a line chart showing the trend of the stock price data obtained.\\n3. Save the plotted line chart as a PNG file with the name \\\"microsoft_stock_price.png\\\".\\n\\n## Output format\\n- A file named \\\"microsoft_stock_price.png\\\" containing the line chart of Microsoft's stock prices over the past 1 year.\\n\\n## Constraints and conditions for completion\\n- The stock data must cover a 1-year period from the current date.\\n- The line chart should accurately reflect the trends in the stock price data for Microsoft.\\n- The PNG file must be saved without any errors or corruptions.\"}\n", "\u001b[32m**********************************************************************************\u001b[0m\n", "\n", "--------------------------------------------------------------------------------\n", @@ -99,216 +84,158 @@ ">>>>>>>> EXECUTING FUNCTION seek_experts_help...\u001b[0m\n", "==> Running AutoBuild...\n", "\n", - "==> Building task: - Arithmetic Expert: Proficient in mathematical operations and capable of evaluating different combinations of numbers and operations to reach a target number.\n", - "- Strategy Expert: Skilled in identifying strategic approaches and solutions to reach a specific goal using given resources.\n", - "- Verification Expert: Thorough in checking the accuracy of solutions and ensuring that the result is achievable under given constraints.\n", + "==> Building task: - A financial analyst with experience in analyzing stock market data, proficient in using Python libraries such as yfinance to fetch financial data from the internet.\n", + "- A data visualization expert who specializes in creating line charts using Python libraries such as matplotlib.\n", + "- A data verification specialist to ensure the accuracy and completeness of the financial data and the resulting visualizations.\n", "\n", "==> Execution task: ## Task description\n", - "Solve the game of 24 using the numbers 2, 3, 4, 5 with any of the four basic operations (+, -, *, /) to reach the number 24.\n", + "Find the stock price of Microsoft (MSFT) for the past 1 year and plot a line chart to show the price trend. Save the resulting line chart as a file named \"microsoft_stock_price.png\".\n", "\n", "## Plan for solving the task\n", - "1. List all possible combinations of the numbers 2, 3, 4, and 5.\n", - "2. Apply the four basic operations to these combinations and evaluate the expressions.\n", - "3. Identify any expressions that equal 24.\n", + "1. Use a Python library like `yfinance` to fetch Microsoft's stock price data for the last 1 year.\n", + "2. Utilize a data visualization library such as `matplotlib` to create a line chart showing the trend of the stock price data obtained.\n", + "3. Save the plotted line chart as a PNG file with the name \"microsoft_stock_price.png\".\n", "\n", "## Output format\n", - "- A mathematical expression using the numbers 2, 3, 4, 5 and any combination of the operations +, -, *, / that evaluates to 24.\n", + "- A file named \"microsoft_stock_price.png\" containing the line chart of Microsoft's stock prices over the past 1 year.\n", "\n", "## Constraints and conditions for completion\n", - "- All numbers must be used exactly once.\n", - "- Only the basic operations can be used.\n", - "- The final result must be 24.\n", + "- The stock data must cover a 1-year period from the current date.\n", + "- The line chart should accurately reflect the trends in the stock price data for Microsoft.\n", + "- The PNG file must be saved without any errors or corruptions.\n", "\u001b[32m==> Generating agents...\u001b[0m\n", - "['Arithmetic_Expert', 'Strategy_Expert', 'Verification_Expert'] are generated.\n", + "['Financial_Analyst_Expert', 'Data_Visualization_Expert', 'Data_Verification_Specialist_Expert'] are generated.\n", "\u001b[32m==> Generating system message...\u001b[0m\n", - "Preparing system message for Arithmetic_Expert\n", - "Preparing system message for Strategy_Expert\n", - "Preparing system message for Verification_Expert\n", + "Preparing system message for Financial_Analyst_Expert\n", + "Preparing system message for Data_Visualization_Expert\n", + "Preparing system message for Data_Verification_Specialist_Expert\n", "\u001b[32m==> Generating description...\u001b[0m\n", - "Preparing description for Arithmetic_Expert\n", - "Preparing description for Strategy_Expert\n", - "Preparing description for Verification_Expert\n", + "Preparing description for Financial_Analyst_Expert\n", + "Preparing description for Data_Visualization_Expert\n", + "Preparing description for Data_Verification_Specialist_Expert\n", "\u001b[32m==> Creating agents...\u001b[0m\n", - "Creating agent Arithmetic_Expert...\n", - "Creating agent Strategy_Expert...\n", - "Creating agent Verification_Expert...\n", + "Creating agent Financial_Analyst_Expert...\n", + "Creating agent Data_Visualization_Expert...\n", + "Creating agent Data_Verification_Specialist_Expert...\n", "Adding user console proxy...\n", - "\u001b[33mArithmetic_Expert\u001b[0m (to chat_manager):\n", + "\u001b[33mFinancial_Analyst_Expert\u001b[0m (to chat_manager):\n", "\n", "You are given: (1) a task and advises from your manager with a specific plan and (2) a general task.\n", "Collect information from the general task, follow the suggestions from manager to solve the task.\n", "\n", "# General Task\n", - "Call your group of experts and let's solve a game of 24. The numbers are 2, 3, 4, 5. You can use any of the four basic operations (+, -, *, /) to combine the numbers to get 24.\n", + "Assemble a team of experts, find the stock price of Microsoft in the past 1 year and plot a line chart to show the trend. Save the line chart as \"microsoft_stock_price.png\".\n", "\n", "# Task and suggestions from manager\n", "## Task description\n", - "Solve the game of 24 using the numbers 2, 3, 4, 5 with any of the four basic operations (+, -, *, /) to reach the number 24.\n", + "Find the stock price of Microsoft (MSFT) for the past 1 year and plot a line chart to show the price trend. Save the resulting line chart as a file named \"microsoft_stock_price.png\".\n", "\n", "## Plan for solving the task\n", - "1. List all possible combinations of the numbers 2, 3, 4, and 5.\n", - "2. Apply the four basic operations to these combinations and evaluate the expressions.\n", - "3. Identify any expressions that equal 24.\n", + "1. Use a Python library like `yfinance` to fetch Microsoft's stock price data for the last 1 year.\n", + "2. Utilize a data visualization library such as `matplotlib` to create a line chart showing the trend of the stock price data obtained.\n", + "3. Save the plotted line chart as a PNG file with the name \"microsoft_stock_price.png\".\n", "\n", "## Output format\n", - "- A mathematical expression using the numbers 2, 3, 4, 5 and any combination of the operations +, -, *, / that evaluates to 24.\n", + "- A file named \"microsoft_stock_price.png\" containing the line chart of Microsoft's stock prices over the past 1 year.\n", "\n", "## Constraints and conditions for completion\n", - "- All numbers must be used exactly once.\n", - "- Only the basic operations can be used.\n", - "- The final result must be 24. \n", + "- The stock data must cover a 1-year period from the current date.\n", + "- The line chart should accurately reflect the trends in the stock price data for Microsoft.\n", + "- The PNG file must be saved without any errors or corruptions. \n", "\n", "--------------------------------------------------------------------------------\n", "\u001b[32m\n", - "Next speaker: Strategy_Expert\n", + "Next speaker: Data_Visualization_Expert\n", "\u001b[0m\n", - "\u001b[33mStrategy_Expert\u001b[0m (to chat_manager):\n", - "\n", - "To solve the game of 24 using the numbers 2, 3, 4, and 5 while adhering to the provided constraints, I will follow the plan outlined by the manager.\n", - "\n", - "### Step 1: List All Possible Combinations\n", - "We can create various combinations of the numbers and explore different operation sequences. Given that we have four numbers, we need to consider different groupings and permutations.\n", - "\n", - "### Step 2: Apply Operations\n", - "I will now consider different ways of using the operations among these numbers. Let's evaluate some possibilities systematically. \n", - "\n", - "I will explore a couple of common arrangements and apply the operations:\n", - "\n", - "1. (5 * 4) + (3 * 2) = 20 + 6 = 26\n", - "2. (5 - 3) * (4 + 2) = 2 * 6 = 12\n", - "3. (4 * 5) - (3 * 2) = 20 - 6 = 14\n", - "4. 5 * (4 + 2 - 3) = 5 * 3 = 15\n", - "5. (5 + 2) * (4 - 3) = 7 * 1 = 7\n", - "\n", - "None of these yielded 24.\n", - "\n", - "### Checking Possible Operations\n", - "Let’s check the multiplication and addition combinations as they tend to yield larger numbers:\n", + "\u001b[33mData_Visualization_Expert\u001b[0m (to chat_manager):\n", "\n", - "One interesting arrangement is:\n", + "Let's follow the plan outlined to complete the task of fetching Microsoft's stock price for the past year and visualizing it.\n", "\n", - "\\[\n", - "(5 - 2) \\times (4 + 3) = 3 \\times 7 = 21 \\quad \\text{(close)}\n", - "\\]\n", - "\\[\n", - "5 \\times 4 - (3 + 2) = 20 - 5 = 15 \\quad \\text{(not there)}\n", - "\\]\n", + "### Step 1: Install necessary libraries\n", + "We need to ensure that the required libraries (`yfinance` and `matplotlib`) are installed. I'll proceed to install them. \n", "\n", - "I’ll run through combinations systematically using Python to automate finding solutions.\n", - "\n", - "### Step 3: Automate Combinations and Evaluate\n", - "Let’s write a Python script to check all the combinations and possible operations systematically.\n", - "\n", - "```python\n", - "import itertools\n", - "import operator\n", - "\n", - "numbers = [2, 3, 4, 5]\n", - "operators = [operator.add, operator.sub, operator.mul, operator.truediv]\n", - "ops = ['+', '-', '*', '/']\n", - "\n", - "def eval_expr(a, b, op):\n", - " try:\n", - " return op(a, b)\n", - " except ZeroDivisionError:\n", - " return None\n", - "\n", - "def calculate(nums):\n", - " for num_comb in itertools.permutations(nums):\n", - " for op1 in operators:\n", - " for op2 in operators:\n", - " for op3 in operators:\n", - " result1 = eval_expr(eval_expr(num_comb[0], num_comb[1], op1), num_comb[2], op2)\n", - " if result1 is not None and eval_expr(result1, num_comb[3], op3) == 24:\n", - " return f\"({num_comb[0]} {ops[operators.index(op1)]} {num_comb[1]}) {ops[operators.index(op2)]} {num_comb[2]} {ops[operators.index(op3)]} {num_comb[3]} = 24\"\n", - " return \"No combination found\"\n", - "\n", - "print(calculate(numbers))\n", + "```sh\n", + "pip install yfinance matplotlib\n", "```\n", "\n", - "### Execution\n", - "I will now execute this Python code to find a suitable expression that evaluates to 24.\n", - "\n", "--------------------------------------------------------------------------------\n", "\u001b[32m\n", "Next speaker: Computer_terminal\n", "\u001b[0m\n", "\u001b[31m\n", - ">>>>>>>> EXECUTING CODE BLOCK 0 (inferred language is python)...\u001b[0m\n", + ">>>>>>>> EXECUTING CODE BLOCK 0 (inferred language is sh)...\u001b[0m\n", "\u001b[33mComputer_terminal\u001b[0m (to chat_manager):\n", "\n", "exitcode: 0 (execution succeeded)\n", "Code output: \n", - "(3 - 2) + 5 * 4 = 24\n", + "Defaulting to user installation because normal site-packages is not writeable\n", + "Requirement already satisfied: yfinance in /home/vscode/.local/lib/python3.10/site-packages (0.2.50)\n", + "Requirement already satisfied: matplotlib in /home/vscode/.local/lib/python3.10/site-packages (3.9.2)\n", + "Requirement already satisfied: pandas>=1.3.0 in /home/vscode/.local/lib/python3.10/site-packages (from yfinance) (2.2.3)\n", + "Requirement already satisfied: numpy>=1.16.5 in /home/vscode/.local/lib/python3.10/site-packages (from yfinance) (1.26.4)\n", + "Requirement already satisfied: requests>=2.31 in /usr/local/lib/python3.10/site-packages (from yfinance) (2.32.3)\n", + "Requirement already satisfied: multitasking>=0.0.7 in /home/vscode/.local/lib/python3.10/site-packages (from yfinance) (0.0.11)\n", + "Requirement already satisfied: lxml>=4.9.1 in /home/vscode/.local/lib/python3.10/site-packages (from yfinance) (5.3.0)\n", + "Requirement already satisfied: platformdirs>=2.0.0 in /usr/local/lib/python3.10/site-packages (from yfinance) (4.3.6)\n", + "Requirement already satisfied: pytz>=2022.5 in /home/vscode/.local/lib/python3.10/site-packages (from yfinance) (2024.2)\n", + "Requirement already satisfied: frozendict>=2.3.4 in /home/vscode/.local/lib/python3.10/site-packages (from yfinance) (2.4.6)\n", + "Requirement already satisfied: peewee>=3.16.2 in /home/vscode/.local/lib/python3.10/site-packages (from yfinance) (3.17.8)\n", + "Requirement already satisfied: beautifulsoup4>=4.11.1 in /home/vscode/.local/lib/python3.10/site-packages (from yfinance) (4.12.3)\n", + "Requirement already satisfied: html5lib>=1.1 in /home/vscode/.local/lib/python3.10/site-packages (from yfinance) (1.1)\n", + "Requirement already satisfied: contourpy>=1.0.1 in /home/vscode/.local/lib/python3.10/site-packages (from matplotlib) (1.3.1)\n", + "Requirement already satisfied: cycler>=0.10 in /home/vscode/.local/lib/python3.10/site-packages (from matplotlib) (0.12.1)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /home/vscode/.local/lib/python3.10/site-packages (from matplotlib) (4.55.0)\n", + "Requirement already satisfied: kiwisolver>=1.3.1 in /home/vscode/.local/lib/python3.10/site-packages (from matplotlib) (1.4.7)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/site-packages (from matplotlib) (24.2)\n", + "Requirement already satisfied: pillow>=8 in /home/vscode/.local/lib/python3.10/site-packages (from matplotlib) (11.0.0)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in /home/vscode/.local/lib/python3.10/site-packages (from matplotlib) (3.2.0)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /home/vscode/.local/lib/python3.10/site-packages (from matplotlib) (2.9.0.post0)\n", + "Requirement already satisfied: soupsieve>1.2 in /home/vscode/.local/lib/python3.10/site-packages (from beautifulsoup4>=4.11.1->yfinance) (2.6)\n", + "Requirement already satisfied: six>=1.9 in /home/vscode/.local/lib/python3.10/site-packages (from html5lib>=1.1->yfinance) (1.16.0)\n", + "Requirement already satisfied: webencodings in /home/vscode/.local/lib/python3.10/site-packages (from html5lib>=1.1->yfinance) (0.5.1)\n", + "Requirement already satisfied: tzdata>=2022.7 in /home/vscode/.local/lib/python3.10/site-packages (from pandas>=1.3.0->yfinance) (2024.2)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/site-packages (from requests>=2.31->yfinance) (3.4.0)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/site-packages (from requests>=2.31->yfinance) (3.10)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/site-packages (from requests>=2.31->yfinance) (2.2.3)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/site-packages (from requests>=2.31->yfinance) (2024.8.30)\n", "\n", "\n", "--------------------------------------------------------------------------------\n", "\u001b[32m\n", - "Next speaker: Verification_Expert\n", + "Next speaker: Data_Visualization_Expert\n", "\u001b[0m\n", - "\u001b[33mVerification_Expert\u001b[0m (to chat_manager):\n", - "\n", - "The expression found by the Python code is:\n", - "\n", - "\\[\n", - "(3 - 2) + 5 * 4 = 24\n", - "\\]\n", + "\u001b[33mData_Visualization_Expert\u001b[0m (to chat_manager):\n", "\n", - "Now, let's verify this expression step by step to ensure it indeed equals 24 and adheres to the constraints specified:\n", + "The required libraries `yfinance` and `matplotlib` are installed successfully.\n", "\n", - "1. **Using the numbers**: The expression includes 2, 3, 4, and 5, which are the exact numbers required by the task.\n", - "2. **Operations Used**: The expression consists of addition and multiplication, which are among the allowed operations.\n", - "3. **Order of operations**: According to the order of operations (PEMDAS/BODMAS):\n", - " - First, we perform the subtraction: \\(3 - 2 = 1\\).\n", - " - Next, we perform the multiplication: \\(5 * 4 = 20\\).\n", - " - Finally, we add the results: \\(1 + 20 = 21\\).\n", - "\n", - "However, upon re-evaluation, I see that the final sum gives us 21, not 24. Thus, this expression does not meet the requirement of yielding 24. \n", - "\n", - "I will revise my verification and output to find a valid expression that indeed equals 24 using the numbers 2, 3, 4, and 5 strictly once each. \n", - "\n", - "Let's check if there is another expression or re-run our previous combinations to ensure correctness. I will adjust the code and try again. \n", - "\n", - "Here's the revised script to ensure we find all combinations properly and then check for the correct expressions:\n", + "### Step 2: Fetch Microsoft's stock price data for the past year\n", + "Now, I will write a Python script to fetch the stock price data for Microsoft (MSFT) for the past year.\n", "\n", "```python\n", - "import itertools\n", - "import operator\n", - "\n", - "numbers = [2, 3, 4, 5]\n", - "operators = [operator.add, operator.sub, operator.mul, operator.truediv]\n", - "ops = ['+', '-', '*', '/']\n", - "\n", - "def eval_expr(a, b, op):\n", - " try:\n", - " return op(a, b)\n", - " except ZeroDivisionError:\n", - " return None\n", - "\n", - "def calculate(nums):\n", - " for num_comb in itertools.permutations(nums):\n", - " for op1 in operators:\n", - " for op2 in operators:\n", - " for op3 in operators:\n", - " # Use parenthesis for different grouping\n", - " # (a op b) op c op d\n", - " result1 = eval_expr(eval_expr(num_comb[0], num_comb[1], op1), num_comb[2], op2)\n", - " if result1 is not None and eval_expr(result1, num_comb[3], op3) == 24:\n", - " return f\"(({num_comb[0]} {ops[operators.index(op1)]} {num_comb[1]}) {ops[operators.index(op2)]} {num_comb[2]}) {ops[operators.index(op3)]} {num_comb[3]} = 24\"\n", - " # a op (b op c) op d\n", - " result2 = eval_expr(num_comb[0], eval_expr(num_comb[1], num_comb[2], op2), op1)\n", - " if result2 is not None and eval_expr(result2, num_comb[3], op3) == 24:\n", - " return f\"({num_comb[0]} {ops[operators.index(op1)]} ({num_comb[1]} {ops[operators.index(op2)]} {num_comb[2]})) {ops[operators.index(op3)]} {num_comb[3]} = 24\"\n", - " # a op b op (c op d)\n", - " result3 = eval_expr(num_comb[0], num_comb[1], op1)\n", - " if result3 is not None and eval_expr(result3, eval_expr(num_comb[2], num_comb[3], op3), op2) == 24:\n", - " return f\"{num_comb[0]} {ops[operators.index(op1)]} {num_comb[1]} {ops[operators.index(op2)]} ({num_comb[2]} {ops[operators.index(op3)]} {num_comb[3]}) = 24\"\n", - " return \"No combination found\"\n", - "\n", - "print(calculate(numbers))\n", + "import yfinance as yf\n", + "import matplotlib.pyplot as plt\n", + "import datetime\n", + "\n", + "# Set the date range\n", + "end_date = datetime.datetime.now()\n", + "start_date = end_date - datetime.timedelta(days=365)\n", + "\n", + "# Fetch the data\n", + "msft_data = yf.download('MSFT', start=start_date, end=end_date)\n", + "\n", + "# Plotting the data\n", + "plt.figure(figsize=(10, 5))\n", + "plt.plot(msft_data['Close'], label='MSFT Closing Price')\n", + "plt.title('Microsoft Stock Price Over the Last Year')\n", + "plt.xlabel('Date')\n", + "plt.ylabel('Price (USD)')\n", + "plt.legend()\n", + "plt.grid()\n", + "plt.savefig('microsoft_stock_price.png')\n", + "plt.close()\n", "```\n", "\n", - "I will execute this revised code to look for the correct expression that gives 24.\n", + "Let's execute this code to fetch the data and create the line chart.\n", "\n", "--------------------------------------------------------------------------------\n", "\u001b[32m\n", @@ -320,230 +247,73 @@ "\n", "exitcode: 0 (execution succeeded)\n", "Code output: \n", - "((3 - 2) + 5) * 4 = 24\n", "\n", "\n", "--------------------------------------------------------------------------------\n", "\u001b[32m\n", - "Next speaker: Arithmetic_Expert\n", + "Next speaker: Data_Verification_Specialist_Expert\n", "\u001b[0m\n", - "\u001b[33mArithmetic_Expert\u001b[0m (to chat_manager):\n", - "\n", - "The revised expression found by the Python code is:\n", - "\n", - "\\[\n", - "((3 - 2) + 5) * 4 = 24\n", - "\\]\n", - "\n", - "Now, let's verify this expression step by step to ensure it indeed equals 24 and adheres to the specified constraints:\n", + "\u001b[33mData_Verification_Specialist_Expert\u001b[0m (to chat_manager):\n", "\n", - "1. **Using the numbers**: The expression includes 2, 3, 4, and 5, which are the exact numbers required by the task.\n", - "2. **Operations Used**: The expression consists of subtraction, addition, and multiplication, all of which are among the allowed operations.\n", - "3. **Order of operations**: According to the order of operations (PEMDAS/BODMAS):\n", - " - First, we perform the subtraction: \\(3 - 2 = 1\\).\n", - " - Next, we add the result to 5: \\(1 + 5 = 6\\).\n", - " - Finally, we multiply by 4: \\(6 * 4 = 24\\).\n", + "The script to fetch Microsoft's stock price data for the past year and create the line chart executed successfully without any errors.\n", "\n", - "Thus, the expression evaluates to 24, confirming it meets all the criteria:\n", + "### Step 3: Verify the output\n", + "Now, I will verify that the file \"microsoft_stock_price.png\" has been created and is not corrupted. I will check the existence of the file and its size to ensure it's a valid PNG file.\n", "\n", - "- All numbers (2, 3, 4, 5) are used exactly once.\n", - "- The correct operations were applied.\n", - "- The result equals 24.\n", + "```python\n", + "import os\n", "\n", - "I believe we have successfully found a valid expression for the game of 24 using the numbers provided. \n", + "# Verify if the file exists and check its size\n", + "file_path = 'microsoft_stock_price.png'\n", + "if os.path.exists(file_path):\n", + " file_size = os.path.getsize(file_path)\n", + " print(f\"File '{file_path}' exists with size: {file_size} bytes\")\n", + "else:\n", + " print(f\"File '{file_path}' does not exist.\")\n", + "``` \n", "\n", - "If everyone agrees, I will conclude this task.\n", + "Let's execute this verification code.\n", "\n", "--------------------------------------------------------------------------------\n", "\u001b[32m\n", - "Next speaker: Verification_Expert\n", + "Next speaker: Computer_terminal\n", "\u001b[0m\n", - "\u001b[33mVerification_Expert\u001b[0m (to chat_manager):\n", - "\n", - "The expression \n", - "\n", - "\\[\n", - "((3 - 2) + 5) * 4 = 24\n", - "\\]\n", - "\n", - "has been correctly verified, as it meets all the conditions laid out in the task. All four numbers have been used exactly once, the operations are valid, and the final result is indeed 24.\n", + "\u001b[31m\n", + ">>>>>>>> EXECUTING CODE BLOCK 0 (inferred language is python)...\u001b[0m\n", + "\u001b[33mComputer_terminal\u001b[0m (to chat_manager):\n", "\n", - "Since the criteria have been thoroughly checked and agreed upon, I will now proceed to end this conversation.\n", + "exitcode: 0 (execution succeeded)\n", + "Code output: \n", + "File 'microsoft_stock_price.png' exists with size: 53717 bytes\n", "\n", - "TERMINATE\n", "\n", "--------------------------------------------------------------------------------\n", "\u001b[32m\n", - "Next speaker: Verification_Expert\n", + "Next speaker: Financial_Analyst_Expert\n", "\u001b[0m\n", - "\u001b[33mVerification_Expert\u001b[0m (to chat_manager):\n", - "\n", - "TERMINATE\n", - "\n", - "--------------------------------------------------------------------------------\n", - "\u001b[33mExpert_summoner\u001b[0m (to CaptainAgent):\n", - "\n", - "\u001b[33mExpert_summoner\u001b[0m (to CaptainAgent):\n", - "\n", - "\u001b[32m***** Response from calling tool (call_3xtr1JCpsJHmQB8VJWblUPPm) *****\u001b[0m\n", - "# Response from seek_agent_help: \n", - "## Task\n", - "Solve the game of 24 using the numbers 2, 3, 4, and 5 with any of the four basic operations (+, -, *, /) to reach the number 24, ensuring each number is used exactly once.\n", - "\n", - "## Results\n", - "The valid expression found is \\[((3 - 2) + 5) * 4 = 24\\].\n", - "\n", - "## Reason for the results\n", - "1. All the required numbers (2, 3, 4, and 5) were utilized exactly once in the expression.\n", - "2. The operations used (subtraction, addition, multiplication) are permissible.\n", - "3. Following the order of operations:\n", - " - \\(3 - 2 = 1\\)\n", - " - \\(1 + 5 = 6\\)\n", - " - \\(6 * 4 = 24\\)\n", - "\n", - "This confirms that the expression evaluates to 24.\n", - "\n", - "## Contradictions or issues in the conversation\n", - "Initially, the expression given from the Python code was \\((3 - 2) + 5 * 4 = 24\\) which was incorrect since it evaluates to 21. This error was addressed in subsequent messages, leading to the correct expression being derived later.\n", - "\n", - "### Need to double-check?\n", - "Yes\n", - "\n", - "## Additional information (file path, code blocks, url, etc.)\n", - "Python code snippets were provided to both automate the search for combinations and re-check the result after the initial incorrect finding.\n", - "\u001b[32m**********************************************************************\u001b[0m\n", - "\n", - "--------------------------------------------------------------------------------\n", - "\u001b[31m\n", - ">>>>>>>> USING AUTO REPLY...\u001b[0m\n", - "\u001b[33mCaptainAgent\u001b[0m (to Expert_summoner):\n", - "\n", - "\u001b[32m***** Suggested tool call (call_lLdyHloKSREIl9E4duFzp8PV): seek_experts_help *****\u001b[0m\n", - "Arguments: \n", - "{\"group_name\":\"Game24Solver\",\"building_task\":\"- Arithmetic Expert: Proficient in mathematical operations and capable of evaluating different combinations of numbers and operations to reach a target number.\\n- Strategy Expert: Skilled in identifying strategic approaches and solutions to reach a specific goal using given resources.\\n- Verification Expert: Thorough in checking the accuracy of solutions and ensuring that the result is achievable under given constraints.\",\"execution_task\":\"## Task description\\nVerify the solution to the game of 24 using the numbers 2, 3, 4, and 5. The solution provided was ((3 - 2) + 5) * 4 = 24.\\n\\n## Plan for solving the task\\n1. Review the arithmetic and order of operations applied in the provided expression.\\n2. Confirm that all numbers are used exactly once.\\n3. Ensure the correct solution to check its validity.\\n\\n## Output format\\n- Confirmation of the validity of the expression or a corrected solution, if needed.\\n\\n## Constraints and conditions for completion\\n- Each number must be correctly used exactly once.\\n- Only the basic operations are allowed.\\n- The outcome of the expression must indeed be 24.\"}\n", - "\u001b[32m**********************************************************************************\u001b[0m\n", + "\u001b[33mFinancial_Analyst_Expert\u001b[0m (to chat_manager):\n", "\n", - "--------------------------------------------------------------------------------\n", - "\u001b[35m\n", - ">>>>>>>> EXECUTING FUNCTION seek_experts_help...\u001b[0m\n", - "==> Running AutoBuild...\n", - "\n", - "==> Building task: - Arithmetic Expert: Proficient in mathematical operations and capable of evaluating different combinations of numbers and operations to reach a target number.\n", - "- Strategy Expert: Skilled in identifying strategic approaches and solutions to reach a specific goal using given resources.\n", - "- Verification Expert: Thorough in checking the accuracy of solutions and ensuring that the result is achievable under given constraints.\n", - "\n", - "==> Execution task: ## Task description\n", - "Verify the solution to the game of 24 using the numbers 2, 3, 4, and 5. The solution provided was ((3 - 2) + 5) * 4 = 24.\n", - "\n", - "## Plan for solving the task\n", - "1. Review the arithmetic and order of operations applied in the provided expression.\n", - "2. Confirm that all numbers are used exactly once.\n", - "3. Ensure the correct solution to check its validity.\n", - "\n", - "## Output format\n", - "- Confirmation of the validity of the expression or a corrected solution, if needed.\n", - "\n", - "## Constraints and conditions for completion\n", - "- Each number must be correctly used exactly once.\n", - "- Only the basic operations are allowed.\n", - "- The outcome of the expression must indeed be 24.\n", - "\u001b[32mLoading config from JSON...\u001b[0m\n", - "\u001b[32m==> Creating agents...\u001b[0m\n", - "Creating agent Arithmetic_Expert...\n", - "Creating agent Strategy_Expert...\n", - "Creating agent Verification_Expert...\n", - "Adding user console proxy...\n", - "\u001b[33mArithmetic_Expert\u001b[0m (to chat_manager):\n", - "\n", - "You are given: (1) a task and advises from your manager with a specific plan and (2) a general task.\n", - "Collect information from the general task, follow the suggestions from manager to solve the task.\n", - "\n", - "# General Task\n", - "Call your group of experts and let's solve a game of 24. The numbers are 2, 3, 4, 5. You can use any of the four basic operations (+, -, *, /) to combine the numbers to get 24.\n", - "\n", - "# Task and suggestions from manager\n", - "## Task description\n", - "Verify the solution to the game of 24 using the numbers 2, 3, 4, and 5. The solution provided was ((3 - 2) + 5) * 4 = 24.\n", - "\n", - "## Plan for solving the task\n", - "1. Review the arithmetic and order of operations applied in the provided expression.\n", - "2. Confirm that all numbers are used exactly once.\n", - "3. Ensure the correct solution to check its validity.\n", + "The file \"microsoft_stock_price.png\" exists and its size is 53,717 bytes, indicating it is a valid PNG file. \n", "\n", - "## Output format\n", - "- Confirmation of the validity of the expression or a corrected solution, if needed.\n", + "With successful execution and verification, we can conclude that the task of fetching Microsoft's stock price for the past year and visualizing it has been completed successfully. \n", "\n", - "## Constraints and conditions for completion\n", - "- Each number must be correctly used exactly once.\n", - "- Only the basic operations are allowed.\n", - "- The outcome of the expression must indeed be 24. \n", + "If all members agree, we can proceed to terminate the conversation.\n", "\n", "--------------------------------------------------------------------------------\n", "\u001b[32m\n", - "Next speaker: Verification_Expert\n", + "Next speaker: Data_Visualization_Expert\n", "\u001b[0m\n", - "\u001b[33mVerification_Expert\u001b[0m (to chat_manager):\n", - "\n", - "Let's verify the provided solution step by step according to the plan outlined by the manager.\n", - "\n", - "### Step 1: Review the arithmetic and order of operations\n", - "\n", - "The expression given is \\(((3 - 2) + 5) * 4\\). We will evaluate it step-by-step:\n", - "\n", - "1. **Evaluate the parentheses**: \n", - " \\[\n", - " (3 - 2) = 1\n", - " \\]\n", - " \n", - "2. **Substitute back into the expression**:\n", - " \\[\n", - " (1 + 5) * 4\n", - " \\]\n", - "\n", - "3. **Evaluate the addition**:\n", - " \\[\n", - " 1 + 5 = 6\n", - " \\]\n", - "\n", - "4. **Substitute back into the expression**:\n", - " \\[\n", - " 6 * 4\n", - " \\]\n", - "\n", - "5. **Evaluate the multiplication**:\n", - " \\[\n", - " 6 * 4 = 24\n", - " \\]\n", - "\n", - "### Step 2: Confirm that all numbers are used exactly once\n", - "\n", - "The numbers used in the expression are 2, 3, 4, and 5. \n", - "\n", - "- From the expression:\n", - " - 2 is used in the subtraction (3 - 2).\n", - " - 3 is also used in the subtraction.\n", - " - 4 is used in the multiplication.\n", - " - 5 is used in the addition.\n", - "\n", - "All numbers are indeed used exactly once.\n", - "\n", - "### Step 3: Ensure the correct solution\n", - "\n", - "The final result of the evaluated expression is 24, which matches the requirement.\n", + "\u001b[33mData_Visualization_Expert\u001b[0m (to chat_manager):\n", "\n", - "### Conclusion\n", - "\n", - "Since all steps confirm the validity of the expression, I can conclude that the expression \\(((3 - 2) + 5) * 4 = 24\\) is correct and meets all the specified criteria.\n", - "\n", - "Thus, the verification is complete, and the provided solution is valid. \n", + "I agree that all tasks have been successfully completed and verified. We can proceed to terminate the conversation.\n", "\n", "TERMINATE\n", "\n", "--------------------------------------------------------------------------------\n", "\u001b[32m\n", - "Next speaker: Verification_Expert\n", + "Next speaker: Financial_Analyst_Expert\n", "\u001b[0m\n", - "\u001b[33mVerification_Expert\u001b[0m (to chat_manager):\n", + "\u001b[33mFinancial_Analyst_Expert\u001b[0m (to chat_manager):\n", "\n", "TERMINATE\n", "\n", @@ -552,27 +322,52 @@ "\n", "\u001b[33mExpert_summoner\u001b[0m (to CaptainAgent):\n", "\n", - "\u001b[32m***** Response from calling tool (call_lLdyHloKSREIl9E4duFzp8PV) *****\u001b[0m\n", + "\u001b[32m***** Response from calling tool (call_2JJvuE6dC1HNW1lf4oMAvton) *****\u001b[0m\n", "# Response from seek_agent_help: \n", "## Task\n", - "Verify the solution to the game of 24 using the numbers 2, 3, 4, and 5, specifically checking the expression \\(((3 - 2) + 5) * 4\\).\n", + "Assemble a team of experts to find the stock price of Microsoft (MSFT) for the past year and plot a line chart showing the trend. Save the chart as \"microsoft_stock_price.png\".\n", "\n", "## Results\n", - "The provided expression \\(((3 - 2) + 5) * 4\\) evaluates to 24, and all numbers (2, 3, 4, and 5) are used exactly once.\n", + "Successfully completed the tasks as follows:\n", + "1. Installed required libraries (`yfinance` and `matplotlib`).\n", + "2. Fetched Microsoft’s stock price data for the past year and created a line chart.\n", + "3. Saved the line chart as \"microsoft_stock_price.png\".\n", + "4. Verified the existence and size of the file, confirming it is a valid PNG file.\n", "\n", "## Reason for the results\n", - "Step-by-step verification confirmed:\n", - "1. **Arithmetic evaluation**: Correctly calculated the expression and derived 24.\n", - "2. **Use of numbers**: Each of the numbers 2, 3, 4, and 5 is used exactly once in the expression.\n", + "The task was executed step-by-step according to the outlined plan, with each phase verified for success. The libraries required for data fetching and visualization were installed without issues. The data was then successfully fetched, plotted, and saved, which was further confirmed by checking the file's existence and size, ensuring it wasn’t corrupted.\n", "\n", - "## Contradictions or issues in the conversation\n", - "No contradictions or issues found; the solution was consistent throughout the conversation.\n", + "## Errors or issues in the conversation\n", + "There are no obvious errors or issues in the conversation.\n", "\n", "### Need to double-check?\n", "No\n", "\n", "## Additional information (file path, code blocks, url, etc.)\n", - "None\n", + "File saved at: \"microsoft_stock_price.png\" \n", + "```python\n", + "import yfinance as yf\n", + "import matplotlib.pyplot as plt\n", + "import datetime\n", + "\n", + "# Set the date range\n", + "end_date = datetime.datetime.now()\n", + "start_date = end_date - datetime.timedelta(days=365)\n", + "\n", + "# Fetch the data\n", + "msft_data = yf.download('MSFT', start=start_date, end=end_date)\n", + "\n", + "# Plotting the data\n", + "plt.figure(figsize=(10, 5))\n", + "plt.plot(msft_data['Close'], label='MSFT Closing Price')\n", + "plt.title('Microsoft Stock Price Over the Last Year')\n", + "plt.xlabel('Date')\n", + "plt.ylabel('Price (USD)')\n", + "plt.legend()\n", + "plt.grid()\n", + "plt.savefig('microsoft_stock_price.png')\n", + "plt.close()\n", + "```\n", "\u001b[32m**********************************************************************\u001b[0m\n", "\n", "--------------------------------------------------------------------------------\n", @@ -580,14 +375,44 @@ ">>>>>>>> USING AUTO REPLY...\u001b[0m\n", "\u001b[33mCaptainAgent\u001b[0m (to Expert_summoner):\n", "\n", - "The verified and correct solution to the game of 24 using the numbers 2, 3, 4, and 5 is: \\(((3 - 2) + 5) * 4 = 24\\). All numbers are used exactly once, adhering to the game's rules and achieving the target number of 24 through valid arithmetic operations. \n", + "The task to find the stock price of Microsoft for the past year and create a line chart showing the trend has been successfully completed. The line chart has been saved as the file \"microsoft_stock_price.png\". The execution proceeded smoothly with no issues detected. Here is the code used for the task:\n", + "\n", + "```python\n", + "import yfinance as yf\n", + "import matplotlib.pyplot as plt\n", + "import datetime\n", + "\n", + "# Set the date range\n", + "end_date = datetime.datetime.now()\n", + "start_date = end_date - datetime.timedelta(days=365)\n", + "\n", + "# Fetch the data\n", + "msft_data = yf.download('MSFT', start=start_date, end=end_date)\n", + "\n", + "# Plotting the data\n", + "plt.figure(figsize=(10, 5))\n", + "plt.plot(msft_data['Close'], label='MSFT Closing Price')\n", + "plt.title('Microsoft Stock Price Over the Last Year')\n", + "plt.xlabel('Date')\n", + "plt.ylabel('Price (USD)')\n", + "plt.legend()\n", + "plt.grid()\n", + "plt.savefig('microsoft_stock_price.png')\n", + "plt.close()\n", + "```\n", + "\n", + "This code fetches Microsoft's stock price data over the last year and visualizes it in a line chart, which is then saved as a PNG file. The file has been verified to ensure there are no errors. \n", "\n", "TERMINATE\n", "\n", "--------------------------------------------------------------------------------\n", + "\u001b[31m\n", + ">>>>>>>> EXECUTING CODE BLOCK 0 (inferred language is python)...\u001b[0m\n", "\u001b[33mExpert_summoner\u001b[0m (to CaptainAgent):\n", "\n", - "I'm a proxy and I can only execute your tool or end the conversation. If you think the problem is solved, please reply me only with 'TERMINATE'.\n", + "exitcode: 0 (execution succeeded)\n", + "Code output: \n", + "\n", "\n", "--------------------------------------------------------------------------------\n", "\u001b[31m\n", @@ -599,7 +424,7 @@ "--------------------------------------------------------------------------------\n", "\u001b[33mcaptain_agent\u001b[0m (to user_proxy):\n", "\n", - "The task was to solve a game of 24 using the numbers 2, 3, 4, and 5 with basic arithmetic operations. An initial solution was found and later verified to be correct: \\(((3 - 2) + 5) * 4 = 24\\). The process involved creating a group of experts to evaluate combinations, ensure all numbers are used once, and verify the solution, ultimately confirming its correctness.\n", + "In the conversation, a task was carried out by a group of experts to assemble a team required to find and plot the stock price trend of Microsoft (MSFT) over the past year. The team included a financial analyst, a data visualization expert, and a data verification specialist. By using Python libraries such as `yfinance` for fetching data and `matplotlib` for plotting, they successfully retrieved the stock price data and created a line chart. The chart was then saved as a PNG file named \"microsoft_stock_price.png\". The process was executed without errors, and the file was verified for accuracy and integrity.\n", "\n", "--------------------------------------------------------------------------------\n", "\u001b[33muser_proxy\u001b[0m (to captain_agent):\n", @@ -608,22 +433,12 @@ "\n", "--------------------------------------------------------------------------------\n" ] - }, - { - "data": { - "text/plain": [ - "ChatResult(chat_id=None, chat_history=[{'content': \"Call your group of experts and let's solve a game of 24. The numbers are 2, 3, 4, 5. You can use any of the four basic operations (+, -, *, /) to combine the numbers to get 24.\", 'role': 'assistant', 'name': 'user_proxy'}, {'content': 'The task was to solve a game of 24 using the numbers 2, 3, 4, and 5 with basic arithmetic operations. An initial solution was found and later verified to be correct: \\\\(((3 - 2) + 5) * 4 = 24\\\\). The process involved creating a group of experts to evaluate combinations, ensure all numbers are used once, and verify the solution, ultimately confirming its correctness.', 'role': 'user', 'name': 'captain_agent'}, {'content': '', 'role': 'assistant', 'name': 'user_proxy'}], summary='', cost={'usage_including_cached_inference': {'total_cost': 0}, 'usage_excluding_cached_inference': {'total_cost': 0}}, human_input=[])" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ - "user_proxy.initiate_chat(\n", + "result = user_proxy.initiate_chat(\n", " captain_agent,\n", - " message=\"Call your group of experts and let's solve a game of 24. The numbers are 2, 3, 4, 5. You can use any of the four basic operations (+, -, *, /) to combine the numbers to get 24.\",\n", + " message='Assemble a team of experts, find the stock price of Microsoft in the past 1 year and plot a line chart to show the trend. Save the line chart as \"microsoft_stock_price.png\".',\n", ")" ] },