Google Cloud Dialogflow V2 Client - Class ConversationModelsClient (1.3.2)

Reference documentation and code samples for the Google Cloud Dialogflow V2 Client class ConversationModelsClient.

Service Description: Manages a collection of models for human agent assistant.

This class provides the ability to make remote calls to the backing service through method calls that map to API methods. Sample code to get started:

$conversationModelsClient = new ConversationModelsClient();
try {
    $conversationModel = new ConversationModel();
    $operationResponse = $conversationModelsClient->createConversationModel($conversationModel);
    $operationResponse->pollUntilComplete();
    if ($operationResponse->operationSucceeded()) {
        $result = $operationResponse->getResult();
    // doSomethingWith($result)
    } else {
        $error = $operationResponse->getError();
        // handleError($error)
    }
    // Alternatively:
    // start the operation, keep the operation name, and resume later
    $operationResponse = $conversationModelsClient->createConversationModel($conversationModel);
    $operationName = $operationResponse->getName();
    // ... do other work
    $newOperationResponse = $conversationModelsClient->resumeOperation($operationName, 'createConversationModel');
    while (!$newOperationResponse->isDone()) {
        // ... do other work
        $newOperationResponse->reload();
    }
    if ($newOperationResponse->operationSucceeded()) {
        $result = $newOperationResponse->getResult();
    // doSomethingWith($result)
    } else {
        $error = $newOperationResponse->getError();
        // handleError($error)
    }
} finally {
    $conversationModelsClient->close();
}

Many parameters require resource names to be formatted in a particular way. To assist with these names, this class includes a format method for each type of name, and additionally a parseName method to extract the individual identifiers contained within formatted names that are returned by the API.

Methods

conversationDatasetName

Formats a string containing the fully-qualified path to represent a conversation_dataset resource.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`conversationDataset`	`string`

Returns
Type	Description
`string`	The formatted conversation_dataset resource.

conversationModelName

Formats a string containing the fully-qualified path to represent a conversation_model resource.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`conversationModel`	`string`

Returns
Type	Description
`string`	The formatted conversation_model resource.

conversationModelEvaluationName

Formats a string containing the fully-qualified path to represent a conversation_model_evaluation resource.

Parameters
Name	Description
`project`	`string`
`conversationModel`	`string`
`evaluation`	`string`

Returns
Type	Description
`string`	The formatted conversation_model_evaluation resource.

documentName

Formats a string containing the fully-qualified path to represent a document resource.

Parameters
Name	Description
`project`	`string`
`knowledgeBase`	`string`
`document`	`string`

Returns
Type	Description
`string`	The formatted document resource.

projectConversationModelName

Formats a string containing the fully-qualified path to represent a project_conversation_model resource.

Parameters
Name	Description
`project`	`string`
`conversationModel`	`string`

Returns
Type	Description
`string`	The formatted project_conversation_model resource.

projectConversationModelEvaluationName

Formats a string containing the fully-qualified path to represent a project_conversation_model_evaluation resource.

Parameters
Name	Description
`project`	`string`
`conversationModel`	`string`
`evaluation`	`string`

Returns
Type	Description
`string`	The formatted project_conversation_model_evaluation resource.

projectKnowledgeBaseDocumentName

Formats a string containing the fully-qualified path to represent a project_knowledge_base_document resource.

Parameters
Name	Description
`project`	`string`
`knowledgeBase`	`string`
`document`	`string`

Returns
Type	Description
`string`	The formatted project_knowledge_base_document resource.

projectLocationConversationModelName

Formats a string containing the fully-qualified path to represent a project_location_conversation_model resource.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`conversationModel`	`string`

Returns
Type	Description
`string`	The formatted project_location_conversation_model resource.

projectLocationConversationModelEvaluationName

Formats a string containing the fully-qualified path to represent a project_location_conversation_model_evaluation resource.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`conversationModel`	`string`
`evaluation`	`string`

Returns
Type	Description
`string`	The formatted project_location_conversation_model_evaluation resource.

projectLocationKnowledgeBaseDocumentName

Formats a string containing the fully-qualified path to represent a project_location_knowledge_base_document resource.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`knowledgeBase`	`string`
`document`	`string`

Returns
Type	Description
`string`	The formatted project_location_knowledge_base_document resource.

parseName

Parses a formatted name string and returns an associative array of the components in the name.

The following name formats are supported: Template: Pattern

conversationDataset: projects/{project}/locations/{location}/conversationDatasets/{conversation_dataset}
conversationModel: projects/{project}/locations/{location}/conversationModels/{conversation_model}
conversationModelEvaluation: projects/{project}/conversationModels/{conversation_model}/evaluations/{evaluation}
document: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}
projectConversationModel: projects/{project}/conversationModels/{conversation_model}
projectConversationModelEvaluation: projects/{project}/conversationModels/{conversation_model}/evaluations/{evaluation}
projectKnowledgeBaseDocument: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}
projectLocationConversationModel: projects/{project}/locations/{location}/conversationModels/{conversation_model}
projectLocationConversationModelEvaluation: projects/{project}/locations/{location}/conversationModels/{conversation_model}/evaluations/{evaluation}
projectLocationKnowledgeBaseDocument: projects/{project}/locations/{location}/knowledgeBases/{knowledge_base}/documents/{document}

The optional $template argument can be supplied to specify a particular pattern, and must match one of the templates listed above. If no $template argument is provided, or if the $template argument does not match one of the templates listed, then parseName will check each of the supported templates, and return the first match.

Parameters
Name	Description
`formattedName`	`string` The formatted name string
`template`	`string` Optional name of template to match

Returns
Type	Description
`array`	An associative array from name component IDs to component values.

getOperationsClient

Return an OperationsClient object with the same endpoint as $this.

Returns
Type	Description
`Google\ApiCore\LongRunning\OperationsClient`

resumeOperation

Resume an existing long running operation that was previously started by a long running API method. If $methodName is not provided, or does not match a long running API method, then the operation can still be resumed, but the OperationResponse object will not deserialize the final response.

Parameters
Name	Description
`operationName`	`string` The name of the long running operation
`methodName`	`string` The name of the method used to start the operation

Returns
Type	Description
`Google\ApiCore\OperationResponse`

__construct

Constructor.

Parameters
Name	Description
`options`	`array` Optional. Options for configuring the service API wrapper.
`↳ apiEndpoint`	`string` The address of the API remote host. May optionally include the port, formatted as "
`↳ credentials`	`string\|array\|FetchAuthTokenInterface\|CredentialsWrapper` The credentials to be used by the client to authorize API calls. This option accepts either a path to a credentials file, or a decoded credentials file as a PHP array. Advanced usage: In addition, this option can also accept a pre-constructed Google\Auth\FetchAuthTokenInterface object or Google\ApiCore\CredentialsWrapper object. Note that when one of these objects are provided, any settings in $credentialsConfig will be ignored.
`↳ credentialsConfig`	`array` Options used to configure credentials, including auth token caching, for the client. For a full list of supporting configuration options, see Google\ApiCore\CredentialsWrapper::build() .
`↳ disableRetries`	`bool` Determines whether or not retries defined by the client configuration should be disabled. Defaults to `false`.
`↳ clientConfig`	`string\|array` Client method configuration, including retry settings. This option can be either a path to a JSON file, or a PHP array containing the decoded JSON data. By default this settings points to the default client config file, which is provided in the resources folder.
`↳ transport`	`string\|TransportInterface` The transport used for executing network requests. May be either the string `rest` or `grpc`. Defaults to `grpc` if gRPC support is detected on the system. Advanced usage: Additionally, it is possible to pass in an already instantiated Google\ApiCore\Transport\TransportInterface object. Note that when this object is provided, any settings in $transportConfig, and any $apiEndpoint setting, will be ignored.
`↳ transportConfig`	`array` Configuration options that will be used to construct the transport. Options for each supported transport type should be passed in a key for that transport. For example: $transportConfig = [ 'grpc' => [...], 'rest' => [...], ]; See the Google\ApiCore\Transport\GrpcTransport::build() and Google\ApiCore\Transport\RestTransport::build() methods for the supported options.
`↳ clientCertSource`	`callable` A callable which returns the client cert as a string. This can be used to provide a certificate and private key to the transport layer for mTLS.

createConversationModel

Creates a model.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: CreateConversationModelOperationMetadata
response: ConversationModel

Parameters
Name	Description
`conversationModel`	`Google\Cloud\Dialogflow\V2\ConversationModel` Required. The conversation model to create.
`optionalArgs`	`array` Optional.
`↳ parent`	`string` The project to create conversation model for. Format: `projects/<Project ID>`
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\Dialogflow\V2\ConversationModel;
use Google\Cloud\Dialogflow\V2\ConversationDatasetsClient;
use Google\Cloud\Dialogflow\V2\ConversationModelsClient;
use Google\Cloud\Dialogflow\V2\InputDataset;
use Google\Rpc\Status;

/**
 * @param string $conversationModelDisplayName              The display name of the model. At most 64 bytes long.
 * @param string $formattedConversationModelDatasetsDataset ConversationDataset resource name. Format:
 *                                                          `projects/<Project ID>/locations/<Location
 *                                                          ID>/conversationDatasets/<Conversation Dataset ID>`
 *                                                          Please see {@see ConversationModelsClient::conversationDatasetName()} for help formatting this field.
 */
function create_conversation_model_sample(
    string $conversationModelDisplayName,
    string $formattedConversationModelDatasetsDataset
): void {
    // Create a client.
    $conversationModelsClient = new ConversationModelsClient();

    // Prepare any non-scalar elements to be passed along with the request.
    $inputDataset = (new InputDataset())
        ->setDataset($formattedConversationModelDatasetsDataset);
    $conversationModelDatasets = [$inputDataset,];
    $conversationModel = (new ConversationModel())
        ->setDisplayName($conversationModelDisplayName)
        ->setDatasets($conversationModelDatasets);

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $conversationModelsClient->createConversationModel($conversationModel);
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            /** @var ConversationModel $result */
            $result = $response->getResult();
            printf('Operation successful with response data: %s' . PHP_EOL, $result->serializeToJsonString());
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $conversationModelDisplayName = '[DISPLAY_NAME]';
    $formattedConversationModelDatasetsDataset = ConversationDatasetsClient::conversationDatasetName(
        '[PROJECT]',
        '[LOCATION]',
        '[CONVERSATION_DATASET]'
    );

    create_conversation_model_sample(
        $conversationModelDisplayName,
        $formattedConversationModelDatasetsDataset
    );
}

createConversationModelEvaluation

Creates evaluation of a conversation model.

Parameters
Name	Description
`parent`	`string` Required. The conversation model resource name. Format: `projects/<Project ID>/locations/<Location ID>/conversationModels/<Conversation Model ID>`
`conversationModelEvaluation`	`Google\Cloud\Dialogflow\V2\ConversationModelEvaluation` Required. The conversation model evaluation to be created.
`optionalArgs`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\Dialogflow\V2\ConversationModelEvaluation;
use Google\Cloud\Dialogflow\V2\ConversationModelsClient;
use Google\Rpc\Status;

/**
 * @param string $formattedParent The conversation model resource name. Format:
 *                                `projects/<Project ID>/locations/<Location
 *                                ID>/conversationModels/<Conversation Model ID>`
 *                                Please see {@see ConversationModelsClient::conversationModelName()} for help formatting this field.
 */
function create_conversation_model_evaluation_sample(string $formattedParent): void
{
    // Create a client.
    $conversationModelsClient = new ConversationModelsClient();

    // Prepare any non-scalar elements to be passed along with the request.
    $conversationModelEvaluation = new ConversationModelEvaluation();

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $conversationModelsClient->createConversationModelEvaluation(
            $formattedParent,
            $conversationModelEvaluation
        );
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            /** @var ConversationModelEvaluation $result */
            $result = $response->getResult();
            printf('Operation successful with response data: %s' . PHP_EOL, $result->serializeToJsonString());
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $formattedParent = ConversationModelsClient::conversationModelName(
        '[PROJECT]',
        '[LOCATION]',
        '[CONVERSATION_MODEL]'
    );

    create_conversation_model_evaluation_sample($formattedParent);
}

deleteConversationModel

Deletes a model.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: DeleteConversationModelOperationMetadata
response: An Empty message

Parameters
Name	Description
`name`	`string` Required. The conversation model to delete. Format: `projects/<Project ID>/conversationModels/<Conversation Model ID>`
`optionalArgs`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\Dialogflow\V2\ConversationModelsClient;
use Google\Rpc\Status;

/**
 * @param string $name The conversation model to delete. Format:
 *                     `projects/<Project ID>/conversationModels/<Conversation Model ID>`
 */
function delete_conversation_model_sample(string $name): void
{
    // Create a client.
    $conversationModelsClient = new ConversationModelsClient();

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $conversationModelsClient->deleteConversationModel($name);
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            printf('Operation completed successfully.' . PHP_EOL);
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $name = '[NAME]';

    delete_conversation_model_sample($name);
}

deployConversationModel

Deploys a model. If a model is already deployed, deploying it has no effect. A model can only serve prediction requests after it gets deployed. For article suggestion, custom model will not be used unless it is deployed.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: DeployConversationModelOperationMetadata
response: An Empty message

Parameters
Name	Description
`name`	`string` Required. The conversation model to deploy. Format: `projects/<Project ID>/conversationModels/<Conversation Model ID>`
`optionalArgs`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\Dialogflow\V2\ConversationModelsClient;
use Google\Rpc\Status;

/**
 * @param string $name The conversation model to deploy. Format:
 *                     `projects/<Project ID>/conversationModels/<Conversation Model ID>`
 */
function deploy_conversation_model_sample(string $name): void
{
    // Create a client.
    $conversationModelsClient = new ConversationModelsClient();

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $conversationModelsClient->deployConversationModel($name);
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            printf('Operation completed successfully.' . PHP_EOL);
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $name = '[NAME]';

    deploy_conversation_model_sample($name);
}

getConversationModel

Gets conversation model.

Parameters
Name	Description
`name`	`string` Required. The conversation model to retrieve. Format: `projects/<Project ID>/conversationModels/<Conversation Model ID>`
`optionalArgs`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\Dialogflow\V2\ConversationModel`

Example

use Google\ApiCore\ApiException;
use Google\Cloud\Dialogflow\V2\ConversationModel;
use Google\Cloud\Dialogflow\V2\ConversationModelsClient;

/**
 * @param string $name The conversation model to retrieve. Format:
 *                     `projects/<Project ID>/conversationModels/<Conversation Model ID>`
 */
function get_conversation_model_sample(string $name): void
{
    // Create a client.
    $conversationModelsClient = new ConversationModelsClient();

    // Call the API and handle any network failures.
    try {
        /** @var ConversationModel $response */
        $response = $conversationModelsClient->getConversationModel($name);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $name = '[NAME]';

    get_conversation_model_sample($name);
}

getConversationModelEvaluation

Gets an evaluation of conversation model.

Parameters
Name	Description
`name`	`string` Required. The conversation model evaluation resource name. Format: `projects/<Project ID>/conversationModels/<Conversation Model ID>/evaluations/<Evaluation ID>`
`optionalArgs`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\Dialogflow\V2\ConversationModelEvaluation`

Example

use Google\ApiCore\ApiException;
use Google\Cloud\Dialogflow\V2\ConversationModelEvaluation;
use Google\Cloud\Dialogflow\V2\ConversationModelsClient;

/**
 * @param string $name The conversation model evaluation resource name. Format:
 *                     `projects/<Project ID>/conversationModels/<Conversation Model
 *                     ID>/evaluations/<Evaluation ID>`
 */
function get_conversation_model_evaluation_sample(string $name): void
{
    // Create a client.
    $conversationModelsClient = new ConversationModelsClient();

    // Call the API and handle any network failures.
    try {
        /** @var ConversationModelEvaluation $response */
        $response = $conversationModelsClient->getConversationModelEvaluation($name);
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $name = '[NAME]';

    get_conversation_model_evaluation_sample($name);
}

listConversationModelEvaluations

Lists evaluations of a conversation model.

Parameters
Name	Description
`parent`	`string` Required. The conversation model resource name. Format: `projects/<Project ID>/conversationModels/<Conversation Model ID>`
`optionalArgs`	`array` Optional.
`↳ pageSize`	`int` The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved.
`↳ pageToken`	`string` A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\PagedListResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\Dialogflow\V2\ConversationModelEvaluation;
use Google\Cloud\Dialogflow\V2\ConversationModelsClient;

/**
 * @param string $parent The conversation model resource name. Format:
 *                       `projects/<Project ID>/conversationModels/<Conversation Model ID>`
 */
function list_conversation_model_evaluations_sample(string $parent): void
{
    // Create a client.
    $conversationModelsClient = new ConversationModelsClient();

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $conversationModelsClient->listConversationModelEvaluations($parent);

        /** @var ConversationModelEvaluation $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $parent = '[PARENT]';

    list_conversation_model_evaluations_sample($parent);
}

listConversationModels

Lists conversation models.

Parameters
Name	Description
`parent`	`string` Required. The project to list all conversation models for. Format: `projects/<Project ID>`
`optionalArgs`	`array` Optional.
`↳ pageSize`	`int` The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved.
`↳ pageToken`	`string` A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\PagedListResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\Dialogflow\V2\ConversationModel;
use Google\Cloud\Dialogflow\V2\ConversationModelsClient;

/**
 * @param string $parent The project to list all conversation models for.
 *                       Format: `projects/<Project ID>`
 */
function list_conversation_models_sample(string $parent): void
{
    // Create a client.
    $conversationModelsClient = new ConversationModelsClient();

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $conversationModelsClient->listConversationModels($parent);

        /** @var ConversationModel $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $parent = '[PARENT]';

    list_conversation_models_sample($parent);
}

undeployConversationModel

Undeploys a model. If the model is not deployed this method has no effect.

If the model is currently being used:

For article suggestion, article suggestion will fallback to the default model if model is undeployed.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: UndeployConversationModelOperationMetadata
response: An Empty message

Parameters
Name	Description
`name`	`string` Required. The conversation model to undeploy. Format: `projects/<Project ID>/conversationModels/<Conversation Model ID>`
`optionalArgs`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\OperationResponse;
use Google\Cloud\Dialogflow\V2\ConversationModelsClient;
use Google\Rpc\Status;

/**
 * @param string $name The conversation model to undeploy. Format:
 *                     `projects/<Project ID>/conversationModels/<Conversation Model ID>`
 */
function undeploy_conversation_model_sample(string $name): void
{
    // Create a client.
    $conversationModelsClient = new ConversationModelsClient();

    // Call the API and handle any network failures.
    try {
        /** @var OperationResponse $response */
        $response = $conversationModelsClient->undeployConversationModel($name);
        $response->pollUntilComplete();

        if ($response->operationSucceeded()) {
            printf('Operation completed successfully.' . PHP_EOL);
        } else {
            /** @var Status $error */
            $error = $response->getError();
            printf('Operation failed with error data: %s' . PHP_EOL, $error->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

/**
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function callSample(): void
{
    $name = '[NAME]';

    undeploy_conversation_model_sample($name);
}

getLocation

Gets information about a location.

Parameters
Name	Description
`optionalArgs`	`array` Optional.
`↳ name`	`string` Resource name for the location.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\Location\Location`

Example

use Google\ApiCore\ApiException;
use Google\Cloud\Dialogflow\V2\ConversationModelsClient;
use Google\Cloud\Location\Location;

/**
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function get_location_sample(): void
{
    // Create a client.
    $conversationModelsClient = new ConversationModelsClient();

    // Call the API and handle any network failures.
    try {
        /** @var Location $response */
        $response = $conversationModelsClient->getLocation();
        printf('Response data: %s' . PHP_EOL, $response->serializeToJsonString());
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

listLocations

Lists information about the supported locations for this service.

Parameters
Name	Description
`optionalArgs`	`array` Optional.
`↳ name`	`string` The resource that owns the locations collection, if applicable.
`↳ filter`	`string` The standard list filter.
`↳ pageSize`	`int` The maximum number of resources contained in the underlying API response. The API may return fewer values in a page, even if there are additional values to be retrieved.
`↳ pageToken`	`string` A page token is used to specify a page of values to be returned. If no page token is specified (the default), the first page of values will be returned. Any page token used here must have been generated by a previous call to the API.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\PagedListResponse`

Example

use Google\ApiCore\ApiException;
use Google\ApiCore\PagedListResponse;
use Google\Cloud\Dialogflow\V2\ConversationModelsClient;
use Google\Cloud\Location\Location;

/**
 * This sample has been automatically generated and should be regarded as a code
 * template only. It will require modifications to work:
 *  - It may require correct/in-range values for request initialization.
 *  - It may require specifying regional endpoints when creating the service client,
 *    please see the apiEndpoint client configuration option for more details.
 */
function list_locations_sample(): void
{
    // Create a client.
    $conversationModelsClient = new ConversationModelsClient();

    // Call the API and handle any network failures.
    try {
        /** @var PagedListResponse $response */
        $response = $conversationModelsClient->listLocations();

        /** @var Location $element */
        foreach ($response as $element) {
            printf('Element data: %s' . PHP_EOL, $element->serializeToJsonString());
        }
    } catch (ApiException $ex) {
        printf('Call failed with message: %s' . PHP_EOL, $ex->getMessage());
    }
}

Constants

SERVICE_NAME

Value: 'google.cloud.dialogflow.v2.ConversationModels'

The name of the service.

SERVICE_ADDRESS

Value: 'dialogflow.googleapis.com'

The default address of the service.

DEFAULT_SERVICE_PORT

Value: 443

The default port of the service.

CODEGEN_NAME

Value: 'gapic'

The name of the code generator, to be included in the agent header.