async def sample_get_specialist_pool():
# Create a client
client = aiplatform_v1beta1.SpecialistPoolServiceAsyncClient()
# Initialize request argument(s)
request = aiplatform_v1beta1.GetSpecialistPoolRequest(name="name_value", )
# Make the request
response = await client.get_specialist_pool(request=request)
# Handle the response
print(response)
async def sample_list_specialist_pools():
# Create a client
client = aiplatform_v1beta1.SpecialistPoolServiceAsyncClient()
# Initialize request argument(s)
request = aiplatform_v1beta1.ListSpecialistPoolsRequest(
parent="parent_value", )
# Make the request
page_result = client.list_specialist_pools(request=request)
# Handle the response
async for response in page_result:
print(response)
async def sample_delete_specialist_pool():
# Create a client
client = aiplatform_v1beta1.SpecialistPoolServiceAsyncClient()
# Initialize request argument(s)
request = aiplatform_v1beta1.DeleteSpecialistPoolRequest(
name="name_value", )
# Make the request
operation = client.delete_specialist_pool(request=request)
print("Waiting for operation to complete...")
response = await operation.result()
# Handle the response
print(response)
async def sample_create_specialist_pool():
# Create a client
client = aiplatform_v1beta1.SpecialistPoolServiceAsyncClient()
# Initialize request argument(s)
specialist_pool = aiplatform_v1beta1.SpecialistPool()
specialist_pool.name = "name_value"
specialist_pool.display_name = "display_name_value"
request = aiplatform_v1beta1.CreateSpecialistPoolRequest(
parent="parent_value",
specialist_pool=specialist_pool,
)
# Make the request
operation = client.create_specialist_pool(request=request)
print("Waiting for operation to complete...")
response = await operation.result()
# Handle the response
print(response)