Build and Deploy an Agent with Agent Engine in Vertex AI avaliações
900 avaliações
Jay-ar R. · Revisado há about 1 year
Victor Novino C. · Revisado há about 1 year
Satindra K. · Revisado há about 1 year
Hare Prasaad P. · Revisado há about 1 year
Good.
Ruargh S. · Revisado há about 1 year
Khalid S. · Revisado há about 1 year
Harrison B. · Revisado há about 1 year
José Antonio G. · Revisado há about 1 year
Jennifer Monica M. · Revisado há about 1 year
john h. · Revisado há about 1 year
The lab has a bug. It gets stuck... 1 remote_agent = reasoning_engines.ReasoningEngine.create( 2 agent, 3 requirements=[ 4 "google-cloud-aiplatform[langchain,reasoningengine]", 5 "cloudpickle==3.0.0", 6 "pydantic==2.7.4", 7 "requests", 8 ], 9 ) Using bucket qwiklabs-gcp-00-4d4b2af5cd1c Writing to gs://qwiklabs-gcp-00-4d4b2af5cd1c/reasoning_engine/reasoning_engine.pkl Writing to gs://qwiklabs-gcp-00-4d4b2af5cd1c/reasoning_engine/requirements.txt Creating in-memory tarfile of extra_packages Writing to gs://qwiklabs-gcp-00-4d4b2af5cd1c/reasoning_engine/dependencies.tar.gz Creating ReasoningEngine Create ReasoningEngine backing LRO: projects/650352865413/locations/us-central1/reasoningEngines/7787656141583941632/operations/191368246467756032 --------------------------------------------------------------------------- KeyboardInterrupt Traceback (most recent call last) Cell In[13], line 1 ----> 1 remote_agent = reasoning_engines.ReasoningEngine.create( 2 agent, 3 requirements=[ 4 "google-cloud-aiplatform[langchain,reasoningengine]", 5 "cloudpickle==3.0.0", 6 "pydantic==2.7.4", 7 "requests", 8 ], 9 ) File /opt/conda/lib/python3.10/site-packages/vertexai/reasoning_engines/_reasoning_engines.py:265, in ReasoningEngine.create(cls, reasoning_engine, requirements, reasoning_engine_name, display_name, description, gcs_dir_name, sys_version, extra_packages) 253 operation_future = sdk_resource.api_client.create_reasoning_engine( 254 parent=initializer.global_config.common_location_path( 255 project=sdk_resource.project, location=sdk_resource.location (...) 262 ), 263 ) 264 _LOGGER.log_create_with_lro(cls, operation_future) --> 265 created_resource = operation_future.result() 266 _LOGGER.log_create_complete( 267 cls, 268 created_resource, 269 cls._resource_noun, 270 module_name="vertexai.preview.reasoning_engines", 271 ) 272 # We use `._get_gca_resource(...)` instead of `created_resource` to 273 # fully instantiate the attributes of the reasoning engine. File /opt/conda/lib/python3.10/site-packages/google/api_core/future/polling.py:256, in PollingFuture.result(self, timeout, retry, polling) 144 def result(self, timeout=_DEFAULT_VALUE, retry=None, polling=None): 145 """Get the result of the operation. 146 147 This method will poll for operation status periodically, blocking if (...) 253 the timeout is reached before the operation completes. 254 """ --> 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 File /opt/conda/lib/python3.10/site-packages/google/api_core/future/polling.py:137, in PollingFuture._blocking_poll(self, timeout, retry, polling) 134 polling = polling.with_timeout(timeout) 136 try: --> 137 polling(self._done_or_raise)(retry=retry) 138 except exceptions.RetryError: 139 raise concurrent.futures.TimeoutError( 140 f"Operation did not complete within the designated timeout of " 141 f"{polling.timeout} seconds." 142 ) File /opt/conda/lib/python3.10/site-packages/google/api_core/retry.py:349, in Retry.__call__.<locals>.retry_wrapped_func(*args, **kwargs) 345 target = functools.partial(func, *args, **kwargs) 346 sleep_generator = exponential_sleep_generator( 347 self._initial, self._maximum, multiplier=self._multiplier 348 ) --> 349 return retry_target( 350 target, 351 self._predicate, 352 sleep_generator, 353 self._timeout, 354 on_error=on_error, 355 ) File /opt/conda/lib/python3.10/site-packages/google/api_core/retry.py:217, in retry_target(target, predicate, sleep_generator, timeout, on_error, **kwargs) 207 raise exceptions.RetryError( 208 "Deadline of {:.1f}s exceeded while calling target function".format( 209 timeout 210 ), 211 last_exc, 212 ) from last_exc 214 _LOGGER.debug( 215 "Retrying due to {}, sleeping {:.1f}s ...".format(last_exc, sleep) 216 ) --> 217 time.sleep(sleep) 219 raise ValueError("Sleep generator stopped yielding sleep values.") KeyboardInterrupt:
Diego T. · Revisado há about 1 year
s
Kim G. · Revisado há about 1 year
Juan Carlos B. · Revisado há about 1 year
Luis R. · Revisado há about 1 year
Ronny d. · Revisado há about 1 year
Ronny d. · Revisado há about 1 year
Maksim S. · Revisado há about 1 year
Slow agent deploying
Oleksandr S. · Revisado há about 1 year
Jupyter Notebook froze, and I couldn't finish the lab
Oleksandr S. · Revisado há about 1 year
Wojciech G. · Revisado há about 1 year
customization had issue
Syed Muhammad Noman B. · Revisado há about 1 year
Victor Novino C. · Revisado há about 1 year
Narasimha Sai Yeswanth Deepak S. · Revisado há about 1 year
Ayunira P. · Revisado há about 1 year
Jay-ar R. · Revisado há about 1 year
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