Class v1beta.DataChatServiceClient (0.4.0)

  /**
   * This snippet 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.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Optional. Inline context for the chat request. Use this to chat
   *  statelessly (without managed conversation persistence and without an
   *  Agent) by passing all context inline.
   */
  // const inlineContext = {}
  /**
   *  Optional. Reference to a persisted conversation and agent context.
   *  Use this to chat with an Agent using managed conversation persistence.
   */
  // const conversationReference = {}
  /**
   *  Optional. Context for the chat request. Use this to chat with an Agent
   *  statelessly, without managed conversation persistence.
   */
  // const dataAgentContext = {}
  /**
   *  Optional. Context with client managed resources.
   *  Some clients may not use GDA managed resources including
   *  conversations and agents, instead they create and manage their own
   *  conversations and agents resources.
   */
  // const clientManagedResourceContext = {}
  /**
   *  Optional. The Google Cloud project to be used for quota and billing.
   */
  // const project = 'abc123'
  /**
   *  Required. The parent value for chat request.
   *  Pattern: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Required. Content of current conversation.
   */
  // const messages = [1,2,3,4]

  // Imports the Geminidataanalytics library
  const {DataChatServiceClient} = require('@google-cloud/geminidataanalytics').v1beta;

  // Instantiates a client
  const geminidataanalyticsClient = new DataChatServiceClient();

  async function callChat() {
    // Construct request
    const request = {
      parent,
      messages,
    };

    // Run request
    const stream = await geminidataanalyticsClient.chat(request);
    stream.on('data', (response) => { console.log(response) });
    stream.on('error', (err) => { throw(err) });
    stream.on('end', () => { /* API call completed */ });
  }

  callChat();

  /**
   * This snippet 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.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. Parent value for CreateConversationRequest.
   *  Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Optional. The conversation id of the conversation to create.
   *  Must be unique within the parent.
   *  The allowed format is: `^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$`.
   *  If not provided, the server will auto-generate a value for the id.
   */
  // const conversationId = 'abc123'
  /**
   *  Required. The conversation to create.
   */
  // const conversation = {}
  /**
   *  Optional. An optional request ID to identify requests. Specify a unique
   *  request ID so that if you must retry your request, the server will know to
   *  ignore the request if it has already been completed. The server will
   *  guarantee that for at least 60 minutes since the first request.
   */
  // const requestId = 'abc123'

  // Imports the Geminidataanalytics library
  const {DataChatServiceClient} = require('@google-cloud/geminidataanalytics').v1beta;

  // Instantiates a client
  const geminidataanalyticsClient = new DataChatServiceClient();

  async function callCreateConversation() {
    // Construct request
    const request = {
      parent,
      conversation,
    };

    // Run request
    const response = await geminidataanalyticsClient.createConversation(request);
    console.log(response);
  }

  callCreateConversation();

  /**
   * This snippet 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.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. Name of the resource.
   *  Format:
   *  `projects/{project}/locations/{location}/conversations/{conversation}`
   */
  // const name = 'abc123'

  // Imports the Geminidataanalytics library
  const {DataChatServiceClient} = require('@google-cloud/geminidataanalytics').v1beta;

  // Instantiates a client
  const geminidataanalyticsClient = new DataChatServiceClient();

  async function callDeleteConversation() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await geminidataanalyticsClient.deleteConversation(request);
    console.log(response);
  }

  callDeleteConversation();

  /**
   * This snippet 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.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. Name of the resource.
   *  Format:
   *  `projects/{project}/locations/{location}/conversations/{conversation}`
   */
  // const name = 'abc123'

  // Imports the Geminidataanalytics library
  const {DataChatServiceClient} = require('@google-cloud/geminidataanalytics').v1beta;

  // Instantiates a client
  const geminidataanalyticsClient = new DataChatServiceClient();

  async function callGetConversation() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await geminidataanalyticsClient.getConversation(request);
    console.log(response);
  }

  callGetConversation();

const [response] = await client.getLocation(request);

  /**
   * This snippet 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.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. Parent value for ListConversationsRequest.
   *  Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Optional. Requested page size. Server may return fewer items than
   *  requested. The max page size is 100. All larger page sizes will be coerced
   *  to 100. If unspecified, server will pick 50 as an approperiate default.
   */
  // const pageSize = 1234
  /**
   *  Optional. A token identifying a page of results the server should return.
   */
  // const pageToken = 'abc123'
  /**
   *  Optional. Returned conversations will match criteria specified within the
   *  filter. ListConversations allows filtering by:
   *   * agents
   *   * labels
   */
  // const filter = 'abc123'

  // Imports the Geminidataanalytics library
  const {DataChatServiceClient} = require('@google-cloud/geminidataanalytics').v1beta;

  // Instantiates a client
  const geminidataanalyticsClient = new DataChatServiceClient();

  async function callListConversations() {
    // Construct request
    const request = {
      parent,
    };

    // Run request
    const iterable = geminidataanalyticsClient.listConversationsAsync(request);
    for await (const response of iterable) {
        console.log(response);
    }
  }

  callListConversations();

const iterable = client.listLocationsAsync(request);
for await (const response of iterable) {
  // process response
}

  /**
   * This snippet 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.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The conversation to list messages under.
   *  Format:
   *  `projects/{project}/locations/{location}/conversations/{conversation_id}`
   */
  // const parent = 'abc123'
  /**
   *  Optional. Requested page size. Server may return fewer items than
   *  requested. The max page size is 100. All larger page sizes will be coerced
   *  to 100. If unspecified, server will pick 50 as an approperiate default.
   */
  // const pageSize = 1234
  /**
   *  Optional. A token identifying a page of results the server should return.
   */
  // const pageToken = 'abc123'
  /**
   *  Optional. Filtering results. See AIP-160 (https://google.aip.dev/160) for
   *  syntax.
   *  ListMessages allows filtering by:
   *   * create_time (e.g., `createTime > "2025-01-28T06:51:56-08:00"`)
   *   * update_time
   */
  // const filter = 'abc123'

  // Imports the Geminidataanalytics library
  const {DataChatServiceClient} = require('@google-cloud/geminidataanalytics').v1beta;

  // Instantiates a client
  const geminidataanalyticsClient = new DataChatServiceClient();

  async function callListMessages() {
    // Construct request
    const request = {
      parent,
    };

    // Run request
    const iterable = geminidataanalyticsClient.listMessagesAsync(request);
    for await (const response of iterable) {
        console.log(response);
    }
  }

  callListMessages();

  /**
   * This snippet 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.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The parent resource to generate the query for.
   *  Format: projects/{project}/locations/{location}
   */
  // const parent = 'abc123'
  /**
   *  Required. The natural language query for which to generate query.
   *  Example: "What are the top 5 best selling products this month?"
   */
  // const prompt = 'abc123'
  /**
   *  Required. The context for the data query, including the data sources to
   *  use.
   */
  // const context = {}
  /**
   *  Optional. Options to control query generation and execution behavior.
   */
  // const generationOptions = {}

  // Imports the Geminidataanalytics library
  const {DataChatServiceClient} = require('@google-cloud/geminidataanalytics').v1beta;

  // Instantiates a client
  const geminidataanalyticsClient = new DataChatServiceClient();

  async function callQueryData() {
    // Construct request
    const request = {
      parent,
      prompt,
      context,
    };

    // Run request
    const response = await geminidataanalyticsClient.queryData(request);
    console.log(response);
  }

  callQueryData();