generative-ai/snippets/grounding/groundingPublicDataBasic.js (33 lines of code) (raw):

// Copyright 2024 Google LLC // // 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 // // https://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. // [START generativeaionvertexai_grounding_public_data_basic] const {VertexAI} = require('@google-cloud/vertexai'); /** * TODO(developer): Update these variables before running the sample. */ async function generateContentWithGoogleSearchGrounding( projectId = 'PROJECT_ID', location = 'us-central1', model = 'gemini-2.0-flash-001' ) { // Initialize Vertex with your Cloud project and location const vertexAI = new VertexAI({project: projectId, location: location}); const generativeModelPreview = vertexAI.preview.getGenerativeModel({ model: model, generationConfig: {maxOutputTokens: 256}, }); const googleSearchTool = { googleSearch: {}, }; const request = { contents: [{role: 'user', parts: [{text: 'Why is the sky blue?'}]}], tools: [googleSearchTool], }; const result = await generativeModelPreview.generateContent(request); const response = await result.response; const groundingMetadata = response.candidates[0].groundingMetadata; console.log( 'Response: ', JSON.stringify(response.candidates[0].content.parts[0].text) ); console.log('GroundingMetadata is: ', JSON.stringify(groundingMetadata)); } // [END generativeaionvertexai_grounding_public_data_basic] generateContentWithGoogleSearchGrounding(...process.argv.slice(2)).catch( err => { console.error(err.message); process.exitCode = 1; } );