import os
from textwrap import dedent
from crewai import Agent, Task, Crew
from litellm import completion
import litellm

# 配置环境变量
os.environ["OPENAI_API_BASE"] = 'http://127.0.0.1:11434/v1'
os.environ["OPENAI_MODEL_NAME"] = 'qwen2.5-coder'
os.environ["OPENAI_API_KEY"] = 'EMPTY'
os.environ['LITELLM_LOG'] = 'DEBUG'

# 配置LiteLLM
litellm.set_verbose = True
completion = litellm.completion

def senior_engineer_agent():
    """高级软件工程师智能体"""
    return Agent(
        role='高级软件工程师',
        goal='根据需求完成软件编程',
        backstory=dedent('''你是一位国际领先的科技公司的高级软件工程师。
            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。
            '''),
        allow_delegation=False,
        verbose=True,
        llm_config={"model": "qwen2.5-coder"}
    )

def qa_engineer_agent():
    """高级软件质量工程师智能体"""
    return Agent(
        role='高级软件质量工程师',
        goal='分析程序代码，找出其中的错误，并修复这些错误代码',
        backstory=dedent('''你是一位检测代码的高级工程师。
            你对代码细节很敏锐，非常擅长找出代码中的Bug，包括检查是否缺少导入、变量声明、不匹配括号和语法错误等。
            您还能检查出代码的安全漏洞和逻辑错误。
            '''),
        allow_delegation=False,
        verbose=True,
        llm_config={"model": "qwen2.5-coder"}
    )

def chief_qa_engineer_agent():
    """首席软件质量工程师智能体"""
    return Agent(
        role='首席软件质量工程师',
        goal='确保代码实现了需求',
        backstory='你怀疑程序员没有按照需求编写软件，你特别专注于编写高质量的代码。',
        allow_delegation=True,
        verbose=True,
        llm_config={"model": "qwen2.5-coder"}
    )

def code_task(agent, game):
    return Task(description=dedent(f'''你将按照软件需求，使用Python编写程序:
        软件需求
        ------------
        {game}
        '''),
        expected_output='你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！',
        agent=agent
    )

def review_task(agent, game):
    return Task(description=dedent(f'''你将按照软件需求，进一步使用Python完善给定的程序:
        软件需求
        ------------
        {game}
        根据给定的Python程序代码，检查其中的错误。包括检查逻辑错误语法错误、缺少导入、变量声明、括号不匹配，以及安全漏洞。
        '''),
        expected_output='你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！',
        agent=agent
    )

def evaluate_task(agent, game):
    return Task(description=dedent(f'''你将按照软件需求，进一步使用Python完善给定的程序:
        软件需求
        ------------
        {game}
        查看给定的Python程序代码，确保程序代码完整，并且符合软件需求。
        '''),
        expected_output='你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！',
        agent=agent
    )

print('')
game = input('# 您好，我们是游戏智能编程团队，请输入游戏的详细描述：\n\n')
print('')

# 智能体
senior_engineer_agent = senior_engineer_agent()
qa_engineer_agent = qa_engineer_agent()
chief_qa_engineer_agent = chief_qa_engineer_agent()

# 任务
code_game = code_task(senior_engineer_agent, game)
review_game = review_task(qa_engineer_agent, game)
approve_game = evaluate_task(chief_qa_engineer_agent, game)

# 团队
crew = Crew(
    agents=[
        senior_engineer_agent,
        qa_engineer_agent,
        chief_qa_engineer_agent
    ],
    tasks=[
        code_game,
        review_game,
        approve_game
    ],
    verbose=True
)

# 执行
game_code = crew.kickoff()

# 输出
print("\n\n########################")
print("## 游戏代码结果")
print("########################\n")
print(game_code)

# 存储代码
filename = 'Game.py'
print("\n\n########################\n")
with open(filename, 'w', encoding='utf-8') as file:
    file.write(game_code)
print(f"游戏代码已经存储到文件：{filename}")
print(f'你可以运行游戏：python {filename}')运行这段代码，报错：# 您好，我们是游戏智能编程团队，请输入游戏的详细描述：

石头剪刀布的游戏

# Agent: 高级软件工程师
## Task: 你将按照软件需求，使用Python编写程序:
        软件需求
        ------------
        石头剪刀布的游戏



Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], num_retries=5)


03:35:27 - LiteLLM:WARNING: utils.py:351 - `litellm.set_verbose` is deprecated. Please set `os.environ['LITELLM_LOG'] = 'DEBUG'` for debug logs.
2024-09-22 03:35:27,878 - 9024 - utils.py-utils:351 - WARNING: `litellm.set_verbose` is deprecated. Please set `os.environ['LITELLM_LOG'] = 'DEBUG'` for debug logs.
Initialized litellm callbacks, Async Success Callbacks: [<crewai.utilities.token_counter_callback.TokenCalcHandler object at 0x00000193C71D1B40>]
SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'max_retries': 5, 'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False


Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], litellm_call_id='0db263f6-e1bf-4c9e-a1e3-508873d26b78', litellm_logging_obj=<litellm.litellm_core_utils.litellm_logging.Logging object at 0x00000193C733C160>)


SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False


Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], litellm_call_id='0db263f6-e1bf-4c9e-a1e3-508873d26b78', litellm_logging_obj=<litellm.litellm_core_utils.litellm_logging.Logging object at 0x00000193C733C160>)


SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False


Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], litellm_call_id='0db263f6-e1bf-4c9e-a1e3-508873d26b78', litellm_logging_obj=<litellm.litellm_core_utils.litellm_logging.Logging object at 0x00000193C733C160>)


SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False


Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], litellm_call_id='0db263f6-e1bf-4c9e-a1e3-508873d26b78', litellm_logging_obj=<litellm.litellm_core_utils.litellm_logging.Logging object at 0x00000193C733C160>)


SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False


Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], litellm_call_id='0db263f6-e1bf-4c9e-a1e3-508873d26b78', litellm_logging_obj=<litellm.litellm_core_utils.litellm_logging.Logging object at 0x00000193C733C160>)


SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False
# Agent: 高级软件工程师
## Task: 你将按照软件需求，使用Python编写程序:
        软件需求
        ------------
        石头剪刀布的游戏



Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], num_retries=5)


03:35:28 - LiteLLM:WARNING: utils.py:351 - `litellm.set_verbose` is deprecated. Please set `os.environ['LITELLM_LOG'] = 'DEBUG'` for debug logs.
2024-09-22 03:35:28,199 - 9024 - utils.py-utils:351 - WARNING: `litellm.set_verbose` is deprecated. Please set `os.environ['LITELLM_LOG'] = 'DEBUG'` for debug logs.
Initialized litellm callbacks, Async Success Callbacks: [<crewai.utilities.token_counter_callback.TokenCalcHandler object at 0x00000193C71D1B40>, <crewai.utilities.token_counter_callback.TokenCalcHandler object at 0x00000193C75F8A00>]
SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'max_retries': 5, 'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False


Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], litellm_call_id='aae9f6c6-a953-4aae-aadc-1f0598696e70', litellm_logging_obj=<litellm.litellm_core_utils.litellm_logging.Logging object at 0x00000193C75F96C0>)


SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False


Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], litellm_call_id='aae9f6c6-a953-4aae-aadc-1f0598696e70', litellm_logging_obj=<litellm.litellm_core_utils.litellm_logging.Logging object at 0x00000193C75F96C0>)


SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False


Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], litellm_call_id='aae9f6c6-a953-4aae-aadc-1f0598696e70', litellm_logging_obj=<litellm.litellm_core_utils.litellm_logging.Logging object at 0x00000193C75F96C0>)


SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False


Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], litellm_call_id='aae9f6c6-a953-4aae-aadc-1f0598696e70', litellm_logging_obj=<litellm.litellm_core_utils.litellm_logging.Logging object at 0x00000193C75F96C0>)


SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False


Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], litellm_call_id='aae9f6c6-a953-4aae-aadc-1f0598696e70', litellm_logging_obj=<litellm.litellm_core_utils.litellm_logging.Logging object at 0x00000193C75F96C0>)


SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False
# Agent: 高级软件工程师
## Task: 你将按照软件需求，使用Python编写程序:
        软件需求
        ------------
        石头剪刀布的游戏



Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], num_retries=5)


03:35:28 - LiteLLM:WARNING: utils.py:351 - `litellm.set_verbose` is deprecated. Please set `os.environ['LITELLM_LOG'] = 'DEBUG'` for debug logs.
2024-09-22 03:35:28,230 - 9024 - utils.py-utils:351 - WARNING: `litellm.set_verbose` is deprecated. Please set `os.environ['LITELLM_LOG'] = 'DEBUG'` for debug logs.
Initialized litellm callbacks, Async Success Callbacks: [<crewai.utilities.token_counter_callback.TokenCalcHandler object at 0x00000193C71D1B40>, <crewai.utilities.token_counter_callback.TokenCalcHandler object at 0x00000193C75F8A00>, <crewai.utilities.token_counter_callback.TokenCalcHandler object at 0x00000193C7622BF0>]
SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'max_retries': 5, 'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False


Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], litellm_call_id='e3e70b8c-9954-4f4e-8889-26cf292f5819', litellm_logging_obj=<litellm.litellm_core_utils.litellm_logging.Logging object at 0x00000193C7622D40>)


SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False


Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], litellm_call_id='e3e70b8c-9954-4f4e-8889-26cf292f5819', litellm_logging_obj=<litellm.litellm_core_utils.litellm_logging.Logging object at 0x00000193C7622D40>)


SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False


Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], litellm_call_id='e3e70b8c-9954-4f4e-8889-26cf292f5819', litellm_logging_obj=<litellm.litellm_core_utils.litellm_logging.Logging object at 0x00000193C7622D40>)


SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False


Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], litellm_call_id='e3e70b8c-9954-4f4e-8889-26cf292f5819', litellm_logging_obj=<litellm.litellm_core_utils.litellm_logging.Logging object at 0x00000193C7622D40>)


SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False


Request to litellm:
litellm.completion(stop=['\nObservation:'], model='gpt-4o', messages=[{'role': 'system', 'content': 'You are 高级软件工 程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], litellm_call_id='e3e70b8c-9954-4f4e-8889-26cf292f5819', litellm_logging_obj=<litellm.litellm_core_utils.litellm_logging.Logging object at 0x00000193C7622D40>)


SYNC kwargs[caching]: False; litellm.cache: None; kwargs.get('cache')['no-cache']: False
Final returned optional params: {'stop': ['\nObservation:'], 'extra_body': {}}


POST Request Sent from LiteLLM:
curl -X POST \
http://127.0.0.1:11434/v1/ \
-d '{'model': 'gpt-4o', 'messages': [{'role': 'system', 'content': 'You are 高级软件工程师. 你是一位国际领先的科技公司的高级软件工程师。\n            你非常擅长Python编程，并尽自己的最大努力编写功能齐全、运行良好的完美代码。\n\nYour personal goal is: 根据需求完成软件编程\nTo give my best complete final answer to the task use the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!'}, {'role': 'user', 'content': '\nCurrent Task: 你将按照软件需求，使用Python编写程序:\n        软件需求\n        ------------\n        石头剪刀布的游戏\n\n\nThis is the expect criteria for your final answer: 你的输出是完整的Python代码, 特别注意只需要输出Python代码，不要输出其他任何内容！\nyou MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:'}], 'stop': ['\nObservation:'], 'extra_body': {}}'


openai.py: Received openai error - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
RAW RESPONSE:
Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}



Give Feedback / Get Help: https://github.com/BerriAI/litellm/issues/new
LiteLLM.Info: If you need to debug this error, use `litellm.set_verbose=True'.

Logging Details: logger_fn - None | callable(logger_fn) - False
Traceback (most recent call last):
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\llms\OpenAI\openai.py", line 907, in completion
    raise e
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\llms\OpenAI\openai.py", line 825, in completion
    self.make_sync_openai_chat_completion_request(
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\llms\OpenAI\openai.py", line 683, in make_sync_openai_chat_completion_request
    raise e
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\llms\OpenAI\openai.py", line 672, in make_sync_openai_chat_completion_request
    raw_response = openai_client.chat.completions.with_raw_response.create(
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\openai\_legacy_response.py", line 353, in wrapped
    return cast(LegacyAPIResponse[R], func(*args, **kwargs))
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\openai\_utils\_utils.py", line 274, in wrapper
    return func(*args, **kwargs)
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\openai\resources\chat\completions.py", line 704, in create
    return self._post(
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\openai\_base_client.py", line 1268, in post
    return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\openai\_base_client.py", line 945, in request
    return self._request(
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\openai\_base_client.py", line 1049, in _request
    raise self._make_status_error_from_response(err.response) from None
openai.NotFoundError: Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\main.py", line 1419, in completion
    raise e
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\main.py", line 1392, in completion
    response = openai_chat_completions.completion(
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\llms\OpenAI\openai.py", line 914, in completion
    raise OpenAIError(
litellm.llms.OpenAI.openai.OpenAIError: Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\utils.py", line 974, in wrapper
    result = original_function(*args, **kwargs)
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\main.py", line 2847, in completion
    raise exception_type(
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\utils.py", line 8194, in exception_type
    raise e
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\utils.py", line 6534, in exception_type
    raise NotFoundError(
litellm.exceptions.NotFoundError: litellm.NotFoundError: NotFoundError: OpenAIException - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "E:\Qwen2.5_Coder_CrewAI\main.py", line 117, in <module>
    game_code = crew.kickoff()
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\crewai\crew.py", line 465, in kickoff
    result = self._run_sequential_process()
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\crewai\crew.py", line 573, in _run_sequential_process
    return self._execute_tasks(self.tasks)
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\crewai\crew.py", line 671, in _execute_tasks
    task_output = task.execute_sync(
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\crewai\task.py", line 191, in execute_sync
    return self._execute_core(agent, context, tools)
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\crewai\task.py", line 247, in _execute_core
    result = agent.execute_task(
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\crewai\agent.py", line 198, in execute_task
    result = self.execute_task(task, context, tools)
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\crewai\agent.py", line 198, in execute_task
    result = self.execute_task(task, context, tools)
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\crewai\agent.py", line 197, in execute_task
    raise e
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\crewai\agent.py", line 186, in execute_task
    result = self.agent_executor.invoke(
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\crewai\agents\crew_agent_executor.py", line 89, in invoke
    formatted_answer = self._invoke_loop()
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\crewai\agents\crew_agent_executor.py", line 162, in _invoke_loop
    raise e
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\crewai\agents\crew_agent_executor.py", line 111, in _invoke_loop
    ).call(self.messages)
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\crewai\llm.py", line 13, in call
    response = completion(
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\utils.py", line 1061, in wrapper
    return litellm.completion_with_retries(*args, **kwargs)
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\main.py", line 2880, in completion_with_retries
    return retryer(original_function, *args, **kwargs)
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\tenacity\__init__.py", line 475, in __call__
    do = self.iter(retry_state=retry_state)
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\tenacity\__init__.py", line 376, in iter
    result = action(retry_state)
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\tenacity\__init__.py", line 418, in exc_check
    raise retry_exc.reraise()
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\tenacity\__init__.py", line 185, in reraise
    raise self.last_attempt.result()
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\concurrent\futures\_base.py", line 451, in result
    return self.__get_result()
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\concurrent\futures\_base.py", line 403, in __get_result
    raise self._exception
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\tenacity\__init__.py", line 478, in __call__
    result = fn(*args, **kwargs)
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\utils.py", line 1086, in wrapper
    raise e
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\utils.py", line 974, in wrapper
    result = original_function(*args, **kwargs)
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\main.py", line 2847, in completion
    raise exception_type(
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\utils.py", line 8194, in exception_type
    raise e
  File "E:\Qwen2.5_Coder_CrewAI\venv\lib\site-packages\litellm\utils.py", line 6534, in exception_type
    raise NotFoundError(
litellm.exceptions.NotFoundError: litellm.NotFoundError: NotFoundError: OpenAIException - Error code: 404 - {'error': {'message': 'model "gpt-4o" not found, try pulling it first', 'type': 'api_error', 'param': None, 'code': None}}
Press any key to continue . . .请帮我修复，中文回答，给我完整的代码