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<?php
/*
* Copyright 2014 Google Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may not
* use this file except in compliance with the License. You may obtain a copy of
* the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations under
* the License.
*/
namespace Google\Service\Aiplatform\Resource;
use Google\Service\Aiplatform\GoogleApiHttpBody;
use Google\Service\Aiplatform\GoogleCloudAiplatformV1ComputeTokensRequest;
use Google\Service\Aiplatform\GoogleCloudAiplatformV1ComputeTokensResponse;
use Google\Service\Aiplatform\GoogleCloudAiplatformV1CountTokensRequest;
use Google\Service\Aiplatform\GoogleCloudAiplatformV1CountTokensResponse;
use Google\Service\Aiplatform\GoogleCloudAiplatformV1EmbedContentRequest;
use Google\Service\Aiplatform\GoogleCloudAiplatformV1EmbedContentResponse;
use Google\Service\Aiplatform\GoogleCloudAiplatformV1FetchPredictOperationRequest;
use Google\Service\Aiplatform\GoogleCloudAiplatformV1GenerateContentRequest;
use Google\Service\Aiplatform\GoogleCloudAiplatformV1GenerateContentResponse;
use Google\Service\Aiplatform\GoogleCloudAiplatformV1PredictLongRunningRequest;
use Google\Service\Aiplatform\GoogleCloudAiplatformV1PredictRequest;
use Google\Service\Aiplatform\GoogleCloudAiplatformV1PredictResponse;
use Google\Service\Aiplatform\GoogleCloudAiplatformV1RawPredictRequest;
use Google\Service\Aiplatform\GoogleCloudAiplatformV1StreamRawPredictRequest;
use Google\Service\Aiplatform\GoogleCloudAiplatformV1StreamingPredictRequest;
use Google\Service\Aiplatform\GoogleCloudAiplatformV1StreamingPredictResponse;
use Google\Service\Aiplatform\GoogleLongrunningOperation;
/**
* The "models" collection of methods.
* Typical usage is:
* <code>
* $aiplatformService = new Google\Service\Aiplatform(...);
* $models = $aiplatformService->projects_locations_publishers_models;
* </code>
*/
class ProjectsLocationsPublishersModels extends \Google\Service\Resource
{
/**
* Return a list of tokens based on the input text. (models.computeTokens)
*
* @param string $endpoint Required. The name of the Endpoint requested to get
* lists of tokens and token ids.
* @param GoogleCloudAiplatformV1ComputeTokensRequest $postBody
* @param array $optParams Optional parameters.
* @return GoogleCloudAiplatformV1ComputeTokensResponse
* @throws \Google\Service\Exception
*/
public function computeTokens($endpoint, GoogleCloudAiplatformV1ComputeTokensRequest $postBody, $optParams = [])
{
$params = ['endpoint' => $endpoint, 'postBody' => $postBody];
$params = array_merge($params, $optParams);
return $this->call('computeTokens', [$params], GoogleCloudAiplatformV1ComputeTokensResponse::class);
}
/**
* Perform a token counting. (models.countTokens)
*
* @param string $endpoint Required. The name of the Endpoint requested to
* perform token counting. Format:
* `projects/{project}/locations/{location}/endpoints/{endpoint}`
* @param GoogleCloudAiplatformV1CountTokensRequest $postBody
* @param array $optParams Optional parameters.
* @return GoogleCloudAiplatformV1CountTokensResponse
* @throws \Google\Service\Exception
*/
public function countTokens($endpoint, GoogleCloudAiplatformV1CountTokensRequest $postBody, $optParams = [])
{
$params = ['endpoint' => $endpoint, 'postBody' => $postBody];
$params = array_merge($params, $optParams);
return $this->call('countTokens', [$params], GoogleCloudAiplatformV1CountTokensResponse::class);
}
/**
* Embed content with multimodal inputs. (models.embedContent)
*
* @param string $model Required. The name of the publisher model requested to
* serve the prediction. Format:
* `projects/{project}/locations/{location}/publishers/models`
* @param GoogleCloudAiplatformV1EmbedContentRequest $postBody
* @param array $optParams Optional parameters.
* @return GoogleCloudAiplatformV1EmbedContentResponse
* @throws \Google\Service\Exception
*/
public function embedContent($model, GoogleCloudAiplatformV1EmbedContentRequest $postBody, $optParams = [])
{
$params = ['model' => $model, 'postBody' => $postBody];
$params = array_merge($params, $optParams);
return $this->call('embedContent', [$params], GoogleCloudAiplatformV1EmbedContentResponse::class);
}
/**
* Fetch an asynchronous online prediction operation.
* (models.fetchPredictOperation)
*
* @param string $endpoint Required. The name of the Endpoint requested to serve
* the prediction. Format:
* `projects/{project}/locations/{location}/endpoints/{endpoint}` or `projects/{
* project}/locations/{location}/publishers/{publisher}/models/{model}`
* @param GoogleCloudAiplatformV1FetchPredictOperationRequest $postBody
* @param array $optParams Optional parameters.
* @return GoogleLongrunningOperation
* @throws \Google\Service\Exception
*/
public function fetchPredictOperation($endpoint, GoogleCloudAiplatformV1FetchPredictOperationRequest $postBody, $optParams = [])
{
$params = ['endpoint' => $endpoint, 'postBody' => $postBody];
$params = array_merge($params, $optParams);
return $this->call('fetchPredictOperation', [$params], GoogleLongrunningOperation::class);
}
/**
* Generate content with multimodal inputs. (models.generateContent)
*
* @param string $model Required. The fully qualified name of the publisher
* model or tuned model endpoint to use. Publisher model format:
* `projects/{project}/locations/{location}/publishers/models` Tuned model
* endpoint format:
* `projects/{project}/locations/{location}/endpoints/{endpoint}`
* @param GoogleCloudAiplatformV1GenerateContentRequest $postBody
* @param array $optParams Optional parameters.
* @return GoogleCloudAiplatformV1GenerateContentResponse
* @throws \Google\Service\Exception
*/
public function generateContent($model, GoogleCloudAiplatformV1GenerateContentRequest $postBody, $optParams = [])
{
$params = ['model' => $model, 'postBody' => $postBody];
$params = array_merge($params, $optParams);
return $this->call('generateContent', [$params], GoogleCloudAiplatformV1GenerateContentResponse::class);
}
/**
* Perform an online prediction. (models.predict)
*
* @param string $endpoint Required. The name of the Endpoint requested to serve
* the prediction. Format:
* `projects/{project}/locations/{location}/endpoints/{endpoint}`
* @param GoogleCloudAiplatformV1PredictRequest $postBody
* @param array $optParams Optional parameters.
* @return GoogleCloudAiplatformV1PredictResponse
* @throws \Google\Service\Exception
*/
public function predict($endpoint, GoogleCloudAiplatformV1PredictRequest $postBody, $optParams = [])
{
$params = ['endpoint' => $endpoint, 'postBody' => $postBody];
$params = array_merge($params, $optParams);
return $this->call('predict', [$params], GoogleCloudAiplatformV1PredictResponse::class);
}
/**
* (models.predictLongRunning)
*
* @param string $endpoint Required. The name of the Endpoint requested to serve
* the prediction. Format:
* `projects/{project}/locations/{location}/endpoints/{endpoint}` or `projects/{
* project}/locations/{location}/publishers/{publisher}/models/{model}`
* @param GoogleCloudAiplatformV1PredictLongRunningRequest $postBody
* @param array $optParams Optional parameters.
* @return GoogleLongrunningOperation
* @throws \Google\Service\Exception
*/
public function predictLongRunning($endpoint, GoogleCloudAiplatformV1PredictLongRunningRequest $postBody, $optParams = [])
{
$params = ['endpoint' => $endpoint, 'postBody' => $postBody];
$params = array_merge($params, $optParams);
return $this->call('predictLongRunning', [$params], GoogleLongrunningOperation::class);
}
/**
* 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)
*
* @param string $endpoint Required. The name of the Endpoint requested to serve
* the prediction. Format:
* `projects/{project}/locations/{location}/endpoints/{endpoint}`
* @param GoogleCloudAiplatformV1RawPredictRequest $postBody
* @param array $optParams Optional parameters.
* @return GoogleApiHttpBody
* @throws \Google\Service\Exception
*/
public function rawPredict($endpoint, GoogleCloudAiplatformV1RawPredictRequest $postBody, $optParams = [])
{
$params = ['endpoint' => $endpoint, 'postBody' => $postBody];
$params = array_merge($params, $optParams);
return $this->call('rawPredict', [$params], GoogleApiHttpBody::class);
}
/**
* Perform a server-side streaming online prediction request for Vertex LLM
* streaming. (models.serverStreamingPredict)
*
* @param string $endpoint Required. The name of the Endpoint requested to serve
* the prediction. Format:
* `projects/{project}/locations/{location}/endpoints/{endpoint}`
* @param GoogleCloudAiplatformV1StreamingPredictRequest $postBody
* @param array $optParams Optional parameters.
* @return GoogleCloudAiplatformV1StreamingPredictResponse
* @throws \Google\Service\Exception
*/
public function serverStreamingPredict($endpoint, GoogleCloudAiplatformV1StreamingPredictRequest $postBody, $optParams = [])
{
$params = ['endpoint' => $endpoint, 'postBody' => $postBody];
$params = array_merge($params, $optParams);
return $this->call('serverStreamingPredict', [$params], GoogleCloudAiplatformV1StreamingPredictResponse::class);
}
/**
* Generate content with multimodal inputs with streaming support.
* (models.streamGenerateContent)
*
* @param string $model Required. The fully qualified name of the publisher
* model or tuned model endpoint to use. Publisher model format:
* `projects/{project}/locations/{location}/publishers/models` Tuned model
* endpoint format:
* `projects/{project}/locations/{location}/endpoints/{endpoint}`
* @param GoogleCloudAiplatformV1GenerateContentRequest $postBody
* @param array $optParams Optional parameters.
* @return GoogleCloudAiplatformV1GenerateContentResponse
* @throws \Google\Service\Exception
*/
public function streamGenerateContent($model, GoogleCloudAiplatformV1GenerateContentRequest $postBody, $optParams = [])
{
$params = ['model' => $model, 'postBody' => $postBody];
$params = array_merge($params, $optParams);
return $this->call('streamGenerateContent', [$params], GoogleCloudAiplatformV1GenerateContentResponse::class);
}
/**
* Perform a streaming online prediction with an arbitrary HTTP payload.
* (models.streamRawPredict)
*
* @param string $endpoint Required. The name of the Endpoint requested to serve
* the prediction. Format:
* `projects/{project}/locations/{location}/endpoints/{endpoint}`
* @param GoogleCloudAiplatformV1StreamRawPredictRequest $postBody
* @param array $optParams Optional parameters.
* @return GoogleApiHttpBody
* @throws \Google\Service\Exception
*/
public function streamRawPredict($endpoint, GoogleCloudAiplatformV1StreamRawPredictRequest $postBody, $optParams = [])
{
$params = ['endpoint' => $endpoint, 'postBody' => $postBody];
$params = array_merge($params, $optParams);
return $this->call('streamRawPredict', [$params], GoogleApiHttpBody::class);
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(ProjectsLocationsPublishersModels::class, 'Google_Service_Aiplatform_Resource_ProjectsLocationsPublishersModels');