List DeployedModels that have been deployed on this DeploymentResourcePool.
Arguments
| Parameters | |
|---|---|
| deploymentResourcePool | 
 Required. The name of the target DeploymentResourcePool to query. Format:  | 
| pageSize | 
 The maximum number of DeployedModels to return. The service may return fewer than this value. | 
| pageToken | 
 A page token, received from a previous  | 
| region | 
 Required. Region of the HTTP endpoint. For example, if region is set to  | 
Raised exceptions
| Exceptions | |
|---|---|
| ConnectionError | In case of a network problem (such as DNS failure or refused connection). | 
| HttpError | If the response status is >= 400 (excluding 429 and 503). | 
| TimeoutError | If a long-running operation takes longer to finish than the specified timeout limit. | 
| TypeError | If an operation or function receives an argument of the wrong type. | 
| ValueError | If an operation or function receives an argument of the right type but an inappropriate value. For example, a negative timeout. | 
Response
If successful, the response contains an instance of GoogleCloudAiplatformV1QueryDeployedModelsResponse.
Subworkflow snippet
Some fields might be optional or required. To identify required fields, refer to the API documentation.
YAML
- queryDeployedModels: call: googleapis.aiplatform.v1.projects.locations.deploymentResourcePools.queryDeployedModels args: deploymentResourcePool: ... pageSize: ... pageToken: ... region: ... result: queryDeployedModelsResult
JSON
[ { "queryDeployedModels": { "call": "googleapis.aiplatform.v1.projects.locations.deploymentResourcePools.queryDeployedModels", "args": { "deploymentResourcePool": "...", "pageSize": "...", "pageToken": "...", "region": "..." }, "result": "queryDeployedModelsResult" } } ]