ProjectsLocationsPublishersModels
class ProjectsLocationsPublishersModels extends Resource (View source)
The "models" collection of methods.
Typical usage is:
$aiplatformService = new Google\Service\Aiplatform(...);
$models = $aiplatformService->projects_locations_publishers_models;Methods
Return a list of tokens based on the input text. (models.computeTokens)
Perform a token counting. (models.countTokens)
Generate content with multimodal inputs. (models.generateContent)
Perform an online prediction. (models.predict)
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.
Perform a server-side streaming online prediction request for Vertex LLM streaming. (models.serverStreamingPredict)
Generate content with multimodal inputs with streaming support.
Perform a streaming online prediction with an arbitrary HTTP payload.
Details
GoogleCloudAiplatformV1ComputeTokensResponse
computeTokens(string $endpoint, GoogleCloudAiplatformV1ComputeTokensRequest $postBody, array $optParams = [])
Return a list of tokens based on the input text. (models.computeTokens)
GoogleCloudAiplatformV1CountTokensResponse
countTokens(string $endpoint, GoogleCloudAiplatformV1CountTokensRequest $postBody, array $optParams = [])
Perform a token counting. (models.countTokens)
GoogleCloudAiplatformV1GenerateContentResponse
generateContent(string $model, GoogleCloudAiplatformV1GenerateContentRequest $postBody, array $optParams = [])
Generate content with multimodal inputs. (models.generateContent)
GoogleCloudAiplatformV1PredictResponse
predict(string $endpoint, GoogleCloudAiplatformV1PredictRequest $postBody, array $optParams = [])
Perform an online prediction. (models.predict)
GoogleApiHttpBody
rawPredict(string $endpoint, GoogleCloudAiplatformV1RawPredictRequest $postBody, array $optParams = [])
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.
(models.rawPredict)
GoogleCloudAiplatformV1StreamingPredictResponse
serverStreamingPredict(string $endpoint, GoogleCloudAiplatformV1StreamingPredictRequest $postBody, array $optParams = [])
Perform a server-side streaming online prediction request for Vertex LLM streaming. (models.serverStreamingPredict)
GoogleCloudAiplatformV1GenerateContentResponse
streamGenerateContent(string $model, GoogleCloudAiplatformV1GenerateContentRequest $postBody, array $optParams = [])
Generate content with multimodal inputs with streaming support.
(models.streamGenerateContent)
GoogleApiHttpBody
streamRawPredict(string $endpoint, GoogleCloudAiplatformV1StreamRawPredictRequest $postBody, array $optParams = [])
Perform a streaming online prediction with an arbitrary HTTP payload.
(models.streamRawPredict)