Using bucket aretec-vertex-lc-stagging
Writing to gs://aretec-vertex-lc-stagging/reasoning_engine/reasoning_engine.pkl
Writing to gs://aretec-vertex-lc-stagging/reasoning_engine/requirements.txt
Creating in-memory tarfile of extra_packages
Writing to gs://aretec-vertex-lc-stagging/reasoning_engine/dependencies.tar.gz
failed to generate schema: issubclass() arg 1 must be a class
Creating ReasoningEngine
Create ReasoningEngine backing LRO: projects/1006586376595/locations/us-central1/reasoningEngines/996210311323189248/operations/8928551772121726976

{
	"name": "NotFound",
	"message": "404 Can not copy from \"gs://aretec-vertex-lc-stagging/reasoning_engine/reasoning_engine.pkl\" to \"gs://1006586376595-996210311323189248-1713810220200/code.pkl\", check if the source object and target bucket exist. 5: Can not copy from \"gs://aretec-vertex-lc-stagging/reasoning_engine/reasoning_engine.pkl\" to \"gs://1006586376595-996210311323189248-1713810220200/code.pkl\", check if the source object and target bucket exist.",
	"stack": "---------------------------------------------------------------------------
NotFound                                  Traceback (most recent call last)
Cell In[8], line 3
      1 DISPLAY_NAME = \"Demo Langchain Application\"
----> 3 remote_app = reasoning_engines.ReasoningEngine.create(
      4     reasoning_engines.LangchainAgent(
      5         model=model,
      6         model_kwargs=model_kwargs,
      7     ),
      8     requirements=[
      9         \"google-cloud-aiplatform\",
     10         \"langchain\",
     11         \"langchain-core\",
     12         \"langchain-google-vertexai\",
     13         \"requests==2.*\",
     14     ],
     15     display_name=DISPLAY_NAME,
     16 )
     17 # 1006586376595-3067866139913617408-1713803998746
     18 # remote_app

File d:\\miniconda3\\envs\\vector\\lib\\site-packages\\vertexai\\reasoning_engines\\_reasoning_engines.py:284, in ReasoningEngine.create(cls, reasoning_engine, requirements, reasoning_engine_name, display_name, description, gcs_dir_name, sys_version, extra_packages)
    272 operation_future = sdk_resource.api_client.create_reasoning_engine(
    273     parent=initializer.global_config.common_location_path(
    274         project=sdk_resource.project, location=sdk_resource.location
   (...)
    281     ),
    282 )
    283 _LOGGER.log_create_with_lro(cls, operation_future)
--> 284 created_resource = operation_future.result()
    285 _LOGGER.log_create_complete(
    286     cls,
    287     created_resource,
    288     cls._resource_noun,
    289     module_name=\"vertexai.preview.reasoning_engines\",
    290 )
    291 # We use `._get_gca_resource(...)` instead of `created_resource` to
    292 # fully instantiate the attributes of the reasoning engine.

File d:\\miniconda3\\envs\\vector\\lib\\site-packages\\google\\api_core\\future\\polling.py:261, in PollingFuture.result(self, timeout, retry, polling)
    256 self._blocking_poll(timeout=timeout, retry=retry, polling=polling)
    258 if self._exception is not None:
    259     # pylint: disable=raising-bad-type
    260     # Pylint doesn't recognize that this is valid in this case.
--> 261     raise self._exception
    263 return self._result

NotFound: 404 Can not copy from \"gs://aretec-vertex-lc-stagging/reasoning_engine/reasoning_engine.pkl\" to \"gs://1006586376595-996210311323189248-1713810220200/code.pkl\", check if the source object and target bucket exist. 5: Can not copy from \"gs://aretec-vertex-lc-stagging/reasoning_engine/reasoning_engine.pkl\" to \"gs://1006586376595-996210311323189248-1713810220200/code.pkl\", check if the source object and target bucket exist."
}