Method: googleapis.aiplatform.v1beta1.projects.locations.publishers.models.rawPredict

Perform an online prediction with an arbitrary HTTP payload. The response includes the following HTTP headers: * X-Vertex-AI-Endpoint-Id: ID of the Endpoint that served this prediction. * X-Vertex-AI-Deployed-Model-Id: ID of the Endpoint's DeployedModel that served this prediction.

Arguments

Parameters
endpoint

string

Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint}
region

string

Required. Region of the HTTP endpoint. For example, if region is set to us-central1, the endpoint https://us-central1-integrations.googleapis.com will be used. See service endpoints.
body

object (GoogleCloudAiplatformV1beta1RawPredictRequest)

Required.

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 GoogleApiHttpBody.

Subworkflow snippet

Some fields might be optional or required. To identify required fields, refer to the API documentation.

YAML

- rawPredict:
    call: googleapis.aiplatform.v1beta1.projects.locations.publishers.models.rawPredict
    args:
        endpoint: ...
        region: ...
        body:
            httpBody:
                contentType: ...
                data: ...
                extensions: ...
    result: rawPredictResult

JSON

[
  {
    "rawPredict": {
      "call": "googleapis.aiplatform.v1beta1.projects.locations.publishers.models.rawPredict",
      "args": {
        "endpoint": "...",
        "region": "...",
        "body": {
          "httpBody": {
            "contentType": "...",
            "data": "...",
            "extensions": "..."
          }
        }
      },
      "result": "rawPredictResult"
    }
  }
]