^^^^^^^

                                                                                                                        
  import time                                                                                                           
  import playsound  # Optional for sound alerts                                                                         
                                                                                                                        
  File 
"/home/m/.cache/pypoetry/virtualenvs/open-interpreter-Q4m-8jR6-py3.12/lib/python3.12/site-packages/litellm/utils.py", 
line 6594, in exception_type

                                                                                                                        
  import time                                                                                                           
  import playsound  # Optional for sound alerts                                                                         
                                                                                                                        
    raise APIConnectionError(

                                                                                                                        
  import time                                                                                                           
  import playsound  # Optional for sound alerts                                                                         
                                                                                                                        
litellm.exceptions.APIConnectionError: litellm.APIConnectionError: APIConnectionError: OpenAIException - {
  "error": {
    "code": 429,
    "message": "Quota exceeded for 
aiplatform.googleapis.com/generate_content_requests_per_minute_per_project_per_base_model with base model: 
gemini-experimental. Please submit a quota increase request. 
https://cloud.google.com/vertex-ai/docs/generative-ai/quotas-genai.",
    "status": "RESOURCE_EXHAUSTED"
  }
}

                                                                                                                        
  import time                                                                                                           
  import playsound  # Optional for sound alerts                                                                         
                                                                                                                        


                                                                                                                        
  import time                                                                                                           
  import playsound  # Optional for sound alerts                                                                         
                                                                                                                        
  def work_session():                                                                                                   
      print("Work session started!")                                                                                    
      time.sleep(25 * 60)  # 25 minutes                                                                                 
      print("Work session complete!")                                                                                   
      playsound.playsound("alarm.mp3")  # Play alarm if you have alarm.mp3 in same dir                                  
                                                                                                                        
  def short_break():                                                                                                    
      print("Short break started!")                                                                                     
      time.sleep(5 * 60)  # 5 minutes                                                                                   
      print("Short break complete!")                                                                                    
      playsound.playsound("alarm.mp3")                                                                                  
                                                                                                                        
  def long_break():                                                                                                     
      print("Long break started!")                                                                                      
      time.sleep(15 * 60)  # 15 minutes                                                                                 
      print("Long break complete!")                                                                                     
      playsound.playsound("alarm.mp3")                                                                                  
                                                                                                                        
                                                                                                                        
  work_sessions_completed = 0                                                                                           
  while True:                                                                                                           
      input("Press Enter to start the Pomodoro timer...")                                                               
      work_session()                                                                                                    
      if work_sessions_completed % 4 == 0:                                                                              
          long_break()                                                                                                  
      else:                                                                                                             
          short_break()                                                                                                 
      work_sessions_                                                                                                    
                                                                                                                        
                                                                                                                        
  ---------------------------------------------------------------------------                                           
  ModuleNotFoundError                       Traceback (most recent call last)                                           
  Cell In[2], line 4                                                                                                    
        2 import time                                                                                                   
        3 print('##active_line2##')                                                                                     
  ----> 4 import playsound                                                                                              
        5 print('##active_line3##')                                                                                     
        6 pass                                                                                                          
                                                                                                                        
  ModuleNotFoundError: No module named 'playsound'                                                                      
                                                                                                                        (open-interpreter-py3.12) m@m:~/Openinterpreter/open-interpreter$ export SAMBANOVA_API_KEY=2897f7eb-5bd0-410a-bba1-5ea329431cb0
(open-interpreter-py3.12) m@m:~/Openinterpreter/open-interpreter$ interpreter --model=sambanova/Meta-Llama-3.1-405B-Instruct-8k
/home/m/.cache/pypoetry/virtualenvs/open-interpreter-Q4m-8jR6-py3.12/lib/python3.12/site-packages/pydantic/_internal/_config.py:341: UserWarning: Valid config keys have changed in V2:
* 'underscore_attrs_are_private' has been removed
  warnings.warn(message, UserWarning)

▌ Model set to sambanova/Meta-Llama-3.1-405B-Instruct-8k                                                              

Open Interpreter will require approval before running code.                                                             

Use interpreter -y to bypass this.                                                                                      

Press CTRL-C to exit.                                                                                                   

> создай песню

We were unable to determine the context window of this model. Defaulting to 8000.                                       

If your model can handle more, run interpreter --context_window {token limit} --max_tokens {max tokens per response}.   

Continuing...                                                                                                           

Traceback (most recent call last):
  File "/home/m/.cache/pypoetry/virtualenvs/open-interpreter-Q4m-8jR6-py3.12/bin/interpreter", line 6, in <module>
    sys.exit(main())
             ^^^^^^
  File "/home/m/Openinterpreter/open-interpreter/interpreter/terminal_interface/start_terminal_interface.py", line 610, in main
    start_terminal_interface(interpreter)
  File "/home/m/Openinterpreter/open-interpreter/interpreter/terminal_interface/start_terminal_interface.py", line 576, in start_terminal_interface
    interpreter.chat()
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/core.py", line 191, in chat
    for _ in self._streaming_chat(message=message, display=display):
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/core.py", line 223, in _streaming_chat
    yield from terminal_interface(self, message)
  File "/home/m/Openinterpreter/open-interpreter/interpreter/terminal_interface/terminal_interface.py", line 157, in terminal_interface
    for chunk in interpreter.chat(message, display=False, stream=True):
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/core.py", line 259, in _streaming_chat
    yield from self._respond_and_store()
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/core.py", line 318, in _respond_and_store
    for chunk in respond(self):
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/respond.py", line 86, in respond
    for chunk in interpreter.llm.run(messages_for_llm):
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/llm/llm.py", line 324, in run
    yield from run_text_llm(self, params)
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/llm/run_text_llm.py", line 20, in run_text_llm
    for chunk in llm.completions(**params):
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/llm/llm.py", line 466, in fixed_litellm_completions
    raise first_error  # If all attempts fail, raise the first error
    ^^^^^^^^^^^^^^^^^
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/llm/llm.py", line 443, in fixed_litellm_completions
    yield from litellm.completion(**params)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/m/.cache/pypoetry/virtualenvs/open-interpreter-Q4m-8jR6-py3.12/lib/python3.12/site-packages/litellm/utils.py", line 1092, in wrapper
    raise e
  File "/home/m/.cache/pypoetry/virtualenvs/open-interpreter-Q4m-8jR6-py3.12/lib/python3.12/site-packages/litellm/utils.py", line 980, in wrapper
    result = original_function(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/m/.cache/pypoetry/virtualenvs/open-interpreter-Q4m-8jR6-py3.12/lib/python3.12/site-packages/litellm/main.py", line 2796, in completion
    raise exception_type(
  File "/home/m/.cache/pypoetry/virtualenvs/open-interpreter-Q4m-8jR6-py3.12/lib/python3.12/site-packages/litellm/main.py", line 821, in completion
    model, custom_llm_provider, dynamic_api_key, api_base = get_llm_provider(
                                                            ^^^^^^^^^^^^^^^^^
  File "/home/m/.cache/pypoetry/virtualenvs/open-interpreter-Q4m-8jR6-py3.12/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 492, in get_llm_provider
    raise e
  File "/home/m/.cache/pypoetry/virtualenvs/open-interpreter-Q4m-8jR6-py3.12/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 469, in get_llm_provider
    raise litellm.exceptions.BadRequestError(  # type: ignore
litellm.exceptions.BadRequestError: litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=sambanova/Meta-Llama-3.1-405B-Instruct-8k
 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers
(open-interpreter-py3.12) m@m:~/Openinterpreter/open-interpreter$ interpreter --model=sambanova/Meta-Llama-3.1-405B-Instruct-8k
/home/m/.cache/pypoetry/virtualenvs/open-interpreter-Q4m-8jR6-py3.12/lib/python3.12/site-packages/pydantic/_internal/_config.py:341: UserWarning: Valid config keys have changed in V2:
* 'underscore_attrs_are_private' has been removed
  warnings.warn(message, UserWarning)

▌ Model set to sambanova/Meta-Llama-3.1-405B-Instruct-8k                                                              

Open Interpreter will require approval before running code.                                                             

Use interpreter -y to bypass this.                                                                                      

Press CTRL-C to exit.                                                                                                   

> создай 

We were unable to determine the context window of this model. Defaulting to 8000.                                       

If your model can handle more, run interpreter --context_window {token limit} --max_tokens {max tokens per response}.   

Continuing...                                                                                                           

Traceback (most recent call last):
  File "/home/m/.cache/pypoetry/virtualenvs/open-interpreter-Q4m-8jR6-py3.12/bin/interpreter", line 6, in <module>
    sys.exit(main())
             ^^^^^^
  File "/home/m/Openinterpreter/open-interpreter/interpreter/terminal_interface/start_terminal_interface.py", line 610, in main
    start_terminal_interface(interpreter)
  File "/home/m/Openinterpreter/open-interpreter/interpreter/terminal_interface/start_terminal_interface.py", line 576, in start_terminal_interface
    interpreter.chat()
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/core.py", line 191, in chat
    for _ in self._streaming_chat(message=message, display=display):
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/core.py", line 223, in _streaming_chat
    yield from terminal_interface(self, message)
  File "/home/m/Openinterpreter/open-interpreter/interpreter/terminal_interface/terminal_interface.py", line 157, in terminal_interface
    for chunk in interpreter.chat(message, display=False, stream=True):
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/core.py", line 259, in _streaming_chat
    yield from self._respond_and_store()
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/core.py", line 318, in _respond_and_store
    for chunk in respond(self):
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/respond.py", line 86, in respond
    for chunk in interpreter.llm.run(messages_for_llm):
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/llm/llm.py", line 324, in run
    yield from run_text_llm(self, params)
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/llm/run_text_llm.py", line 20, in run_text_llm
    for chunk in llm.completions(**params):
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/llm/llm.py", line 466, in fixed_litellm_completions
    raise first_error  # If all attempts fail, raise the first error
    ^^^^^^^^^^^^^^^^^
  File "/home/m/Openinterpreter/open-interpreter/interpreter/core/llm/llm.py", line 443, in fixed_litellm_completions
    yield from litellm.completion(**params)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/m/.cache/pypoetry/virtualenvs/open-interpreter-Q4m-8jR6-py3.12/lib/python3.12/site-packages/litellm/utils.py", line 1092, in wrapper
    raise e
  File "/home/m/.cache/pypoetry/virtualenvs/open-interpreter-Q4m-8jR6-py3.12/lib/python3.12/site-packages/litellm/utils.py", line 980, in wrapper
    result = original_function(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/m/.cache/pypoetry/virtualenvs/open-interpreter-Q4m-8jR6-py3.12/lib/python3.12/site-packages/litellm/main.py", line 2796, in completion
    raise exception_type(
  File "/home/m/.cache/pypoetry/virtualenvs/open-interpreter-Q4m-8jR6-py3.12/lib/python3.12/site-packages/litellm/main.py", line 821, in completion
    model, custom_llm_provider, dynamic_api_key, api_base = get_llm_provider(
                                                            ^^^^^^^^^^^^^^^^^
  File "/home/m/.cache/pypoetry/virtualenvs/open-interpreter-Q4m-8jR6-py3.12/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 492, in get_llm_provider
    raise e
  File "/home/m/.cache/pypoetry/virtualenvs/open-interpreter-Q4m-8jR6-py3.12/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 469, in get_llm_provider
    raise litellm.exceptions.BadRequestError(  # type: ignore
litellm.exceptions.BadRequestError: litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=sambanova/Meta-Llama-3.1-405B-Instruct-8k
 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers
(open-interpreter-py3.12) m@m:~/Openinterpreter/open-interprete