Create a multi-turn non-streaming conversation with Vertex AI
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Sample demonstrating how to set-up the Vertex AI SDK and create a non-streaming conversation with three consecutive messages sent to the model.
Code sample
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[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],[],[],[],null,["# Create a multi-turn non-streaming conversation with Vertex AI\n\nSample demonstrating how to set-up the Vertex AI SDK and create a non-streaming conversation with three consecutive messages sent to the model.\n\nCode sample\n-----------\n\n### Node.js\n\n\nBefore trying this sample, follow the Node.js setup instructions in the\n[Vertex AI quickstart using\nclient libraries](/vertex-ai/docs/start/client-libraries).\n\n\nFor more information, see the\n[Vertex AI Node.js API\nreference documentation](/nodejs/docs/reference/aiplatform/latest).\n\n\nTo authenticate to Vertex AI, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n const {VertexAI} = require('https://cloud.google.com/nodejs/docs/reference/vertexai/latest/overview.html');\n\n /**\n * TODO(developer): Update these variables before running the sample.\n */\n async function createNonStreamingChat(\n projectId = 'PROJECT_ID',\n location = 'us-central1',\n model = 'gemini-2.0-flash-001'\n ) {\n // Initialize Vertex with your Cloud project and location\n const vertexAI = new https://cloud.google.com/nodejs/docs/reference/vertexai/latest/vertexai/vertexai.html({project: projectId, location: location});\n\n // Instantiate the model\n const generativeModel = vertexAI.https://cloud.google.com/nodejs/docs/reference/vertexai/latest/vertexai/vertexai.html({\n model: model,\n });\n\n const chat = generativeModel.startChat({});\n\n const result1 = await chat.sendMessage('Hello');\n const response1 = await result1.response;\n console.log('Chat response 1: ', JSON.stringify(response1));\n\n const result2 = await chat.sendMessage(\n 'Can you tell me a scientific fun fact?'\n );\n const response2 = await result2.response;\n console.log('Chat response 2: ', JSON.stringify(response2));\n\n const result3 = await chat.sendMessage('How can I learn more about that?');\n const response3 = await result3.response;\n console.log('Chat response 3: ', JSON.stringify(response3));\n }\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=aiplatform)."]]
