-----------------------------------------------------------
PermissionDeniedError     Traceback (most recent call last)
Cell In[21], line 1
----> 1 response = llm.complete("Explain the importance of low latency LLMs")
      2 print(response)

File ~\AppData\Roaming\Python\Python311\site-packages\llama_index\core\instrumentation\dispatcher.py:311, in Dispatcher.span.<locals>.wrapper(func, instance, args, kwargs)
    308             _logger.debug(f"Failed to reset active_span_id: {e}")
    310 try:
--> 311     result = func(*args, **kwargs)
    312     if isinstance(result, asyncio.Future):
    313         # If the result is a Future, wrap it
    314         new_future = asyncio.ensure_future(result)

File ~\AppData\Roaming\Python\Python311\site-packages\llama_index\llms\openai_like\base.py:99, in OpenAILike.complete(self, prompt, formatted, **kwargs)
     96 if not formatted:
     97     prompt = self.completion_to_prompt(prompt)
---> 99 return super().complete(prompt, **kwargs)

File ~\AppData\Roaming\Python\Python311\site-packages\llama_index\core\instrumentation\dispatcher.py:311, in Dispatcher.span.<locals>.wrapper(func, instance, args, kwargs)
    308             _logger.debug(f"Failed to reset active_span_id: {e}")
    310 try:
--> 311     result = func(*args, **kwargs)
    312     if isinstance(result, asyncio.Future):
    313         # If the result is a Future, wrap it
    314         new_future = asyncio.ensure_future(result)

File ~\AppData\Roaming\Python\Python311\site-packages\llama_index\core\llms\callbacks.py:431, in llm_completion_callback.<locals>.wrap.<locals>.wrapped_llm_predict(_self, *args, **kwargs)
    422 event_id = callback_manager.on_event_start(
    423     CBEventType.LLM,
    424     payload={
   (...)
    428     },
    429 )
    430 try:
--> 431     f_return_val = f(_self, *args, **kwargs)
    432 except BaseException as e:
    433     callback_manager.on_event_end(
    434         CBEventType.LLM,
    435         payload={EventPayload.EXCEPTION: e},
    436         event_id=event_id,
    437     )

File ~\AppData\Roaming\Python\Python311\site-packages\llama_index\llms\openai\base.py:375, in OpenAI.complete(self, prompt, formatted, **kwargs)
    373 else:
    374     complete_fn = self._complete
--> 375 return complete_fn(prompt, **kwargs)

File ~\AppData\Roaming\Python\Python311\site-packages\llama_index\core\base\llms\generic_utils.py:173, in chat_to_completion_decorator.<locals>.wrapper(prompt, **kwargs)
    170 def wrapper(prompt: str, **kwargs: Any) -> CompletionResponse:
    171     # normalize input
    172     messages = prompt_to_messages(prompt)
--> 173     chat_response = func(messages, **kwargs)
    174     # normalize output
    175     return chat_response_to_completion_response(chat_response)

File ~\AppData\Roaming\Python\Python311\site-packages\llama_index\llms\openai\base.py:106, in llm_retry_decorator.<locals>.wrapper(self, *args, **kwargs)
     97     return f(self, *args, **kwargs)
     99 retry = create_retry_decorator(
    100     max_retries=max_retries,
    101     random_exponential=True,
   (...)
    104     max_seconds=20,
    105 )
--> 106 return retry(f)(self, *args, **kwargs)

File ~\AppData\Roaming\Python\Python311\site-packages\tenacity\__init__.py:289, in BaseRetrying.wraps.<locals>.wrapped_f(*args, **kw)
    287 @functools.wraps(f)
    288 def wrapped_f(*args: t.Any, **kw: t.Any) -> t.Any:
--> 289     return self(f, *args, **kw)

File ~\AppData\Roaming\Python\Python311\site-packages\tenacity\__init__.py:379, in Retrying.__call__(self, fn, *args, **kwargs)
    377 retry_state = RetryCallState(retry_object=self, fn=fn, args=args, kwargs=kwargs)
    378 while True:
--> 379     do = self.iter(retry_state=retry_state)
    380     if isinstance(do, DoAttempt):
    381         try:

File ~\AppData\Roaming\Python\Python311\site-packages\tenacity\__init__.py:314, in BaseRetrying.iter(self, retry_state)
    312 is_explicit_retry = fut.failed and isinstance(fut.exception(), TryAgain)
    313 if not (is_explicit_retry or self.retry(retry_state)):
--> 314     return fut.result()
    316 if self.after is not None:
    317     self.after(retry_state)

File C:\Program Files\Python311\Lib\concurrent\futures\_base.py:449, in Future.result(self, timeout)
    447     raise CancelledError()
    448 elif self._state == FINISHED:
--> 449     return self.__get_result()
    451 self._condition.wait(timeout)
    453 if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]:

File C:\Program Files\Python311\Lib\concurrent\futures\_base.py:401, in Future.__get_result(self)
    399 if self._exception:
    400     try:
--> 401         raise self._exception
    402     finally:
    403         # Break a reference cycle with the exception in self._exception
    404         self = None

File ~\AppData\Roaming\Python\Python311\site-packages\tenacity\__init__.py:382, in Retrying.__call__(self, fn, *args, **kwargs)
    380 if isinstance(do, DoAttempt):
    381     try:
--> 382         result = fn(*args, **kwargs)
    383     except BaseException:  # noqa: B902
    384         retry_state.set_exception(sys.exc_info())  # type: ignore[arg-type]

File ~\AppData\Roaming\Python\Python311\site-packages\llama_index\llms\openai\base.py:429, in OpenAI._chat(self, messages, **kwargs)
    426 message_dicts = to_openai_message_dicts(messages, model=self.model)
    428 if self.reuse_client:
--> 429     response = client.chat.completions.create(
    430         messages=message_dicts,
    431         stream=False,
    432         **self._get_model_kwargs(**kwargs),
    433     )
    434 else:
    435     with client:

File ~\AppData\Roaming\Python\Python311\site-packages\openai\_utils\_utils.py:274, in required_args.<locals>.inner.<locals>.wrapper(*args, **kwargs)
    272             msg = f"Missing required argument: {quote(missing[0])}"
    273     raise TypeError(msg)
--> 274 return func(*args, **kwargs)

File ~\AppData\Roaming\Python\Python311\site-packages\openai\resources\chat\completions.py:815, in Completions.create(self, messages, model, audio, frequency_penalty, function_call, functions, logit_bias, logprobs, max_completion_tokens, max_tokens, metadata, modalities, n, parallel_tool_calls, presence_penalty, response_format, seed, service_tier, stop, store, stream, stream_options, temperature, tool_choice, tools, top_logprobs, top_p, user, extra_headers, extra_query, extra_body, timeout)
    775 @required_args(["messages", "model"], ["messages", "model", "stream"])
    776 def create(
    777     self,
   (...)
    812     timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
    813 ) -> ChatCompletion | Stream[ChatCompletionChunk]:
    814     validate_response_format(response_format)
--> 815     return self._post(
    816         "/chat/completions",
    817         body=maybe_transform(
    818             {
    819                 "messages": messages,
    820                 "model": model,
    821                 "audio": audio,
    822                 "frequency_penalty": frequency_penalty,
    823                 "function_call": function_call,
    824                 "functions": functions,
    825                 "logit_bias": logit_bias,
    826                 "logprobs": logprobs,
    827                 "max_completion_tokens": max_completion_tokens,
    828                 "max_tokens": max_tokens,
    829                 "metadata": metadata,
    830                 "modalities": modalities,
    831                 "n": n,
    832                 "parallel_tool_calls": parallel_tool_calls,
    833                 "presence_penalty": presence_penalty,
    834                 "response_format": response_format,
    835                 "seed": seed,
    836                 "service_tier": service_tier,
    837                 "stop": stop,
    838                 "store": store,
    839                 "stream": stream,
    840                 "stream_options": stream_options,
    841                 "temperature": temperature,
    842                 "tool_choice": tool_choice,
    843                 "tools": tools,
    844                 "top_logprobs": top_logprobs,
    845                 "top_p": top_p,
    846                 "user": user,
    847             },
    848             completion_create_params.CompletionCreateParams,
    849         ),
    850         options=make_request_options(
    851             extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
    852         ),
    853         cast_to=ChatCompletion,
    854         stream=stream or False,
    855         stream_cls=Stream[ChatCompletionChunk],
    856     )

File ~\AppData\Roaming\Python\Python311\site-packages\openai\_base_client.py:1277, in SyncAPIClient.post(self, path, cast_to, body, options, files, stream, stream_cls)
   1263 def post(
   1264     self,
   1265     path: str,
   (...)
   1272     stream_cls: type[_StreamT] | None = None,
   1273 ) -> ResponseT | _StreamT:
   1274     opts = FinalRequestOptions.construct(
   1275         method="post", url=path, json_data=body, files=to_httpx_files(files), **options
   1276     )
-> 1277     return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))

File ~\AppData\Roaming\Python\Python311\site-packages\openai\_base_client.py:954, in SyncAPIClient.request(self, cast_to, options, remaining_retries, stream, stream_cls)
    951 else:
    952     retries_taken = 0
--> 954 return self._request(
    955     cast_to=cast_to,
    956     options=options,
    957     stream=stream,
    958     stream_cls=stream_cls,
    959     retries_taken=retries_taken,
    960 )

File ~\AppData\Roaming\Python\Python311\site-packages\openai\_base_client.py:1058, in SyncAPIClient._request(self, cast_to, options, retries_taken, stream, stream_cls)
   1055         err.response.read()
   1057     log.debug("Re-raising status error")
-> 1058     raise self._make_status_error_from_response(err.response) from None
   1060 return self._process_response(
   1061     cast_to=cast_to,
   1062     options=options,
   (...)
   1066     retries_taken=retries_taken,
   1067 )

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