Build and Deploy an Agent with Agent Engine in Vertex AI のレビュー

Giannakou Evi · 約1年前にレビュー済み

Casella Vincent · 約1年前にレビュー済み

Reyes Jay-ar · 約1年前にレビュー済み

Chua Victor Novino · 約1年前にレビュー済み

Kathania Satindra · 約1年前にレビュー済み

Palaniappan Hare Prasaad · 約1年前にレビュー済み

Good.

Steyn Ruargh · 約1年前にレビュー済み

Siddiqui Khalid · 約1年前にレビュー済み

Baxter Harrison · 約1年前にレビュー済み

González Rodríguez José Antonio · 約1年前にレビュー済み

Maran Jennifer Monica · 約1年前にレビュー済み

honsberger john · 約1年前にレビュー済み

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:

Torres Diego · 約1年前にレビュー済み

s

Grauer Kim · 約1年前にレビュー済み

Betancourt Juan Carlos · 約1年前にレビュー済み

Ramos Luis · 約1年前にレビュー済み

dev Ronny · 約1年前にレビュー済み

dev Ronny · 約1年前にレビュー済み

Shulyak Maksim · 約1年前にレビュー済み

Slow agent deploying

Stepanenko Oleksandr · 約1年前にレビュー済み

Jupyter Notebook froze, and I couldn't finish the lab

Stepanenko Oleksandr · 約1年前にレビュー済み

Gałązka Wojciech · 約1年前にレビュー済み

customization had issue

Bukhari Syed Muhammad Noman · 約1年前にレビュー済み

Chua Victor Novino · 約1年前にレビュー済み

Sambaraju Narasimha Sai Yeswanth Deepak · 約1年前にレビュー済み