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feat(genai): Add samples for Bounding Box, Embeddings, Provisioned Throughput, Safety #4196
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| // Copyright 2025 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. | ||
|
|
||
| 'use strict'; | ||
|
|
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| // [START googlegenaisdk_boundingbox_with_txt_img] | ||
| const {GoogleGenAI} = require('@google/genai'); | ||
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| const {createCanvas, loadImage} = require('canvas'); | ||
| const fetch = require('node-fetch'); | ||
| const fs = require('fs'); | ||
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| const GOOGLE_CLOUD_PROJECT = process.env.GOOGLE_CLOUD_PROJECT; | ||
| const GOOGLE_CLOUD_LOCATION = process.env.GOOGLE_CLOUD_LOCATION || 'global'; | ||
|
|
||
| async function fetchImageAsBase64(uri) { | ||
| const response = await fetch(uri); | ||
| const buffer = await response.buffer(); | ||
| return buffer.toString('base64'); | ||
| } | ||
|
|
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| async function plotBoundingBoxes(imageUri, boundingBoxes) { | ||
| console.log('Creating bounding boxes'); | ||
| const image = await loadImage(imageUri); | ||
| const canvas = createCanvas(image.width, image.height); | ||
| const ctx = canvas.getContext('2d'); | ||
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| ctx.drawImage(image, 0, 0); | ||
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| const colors = ['red', 'blue', 'green', 'orange']; | ||
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| boundingBoxes.forEach((bbox, i) => { | ||
| const [yMin, xMin, yMax, xMax] = bbox.box_2d; | ||
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| const absYMin = Math.floor((yMin / 1000) * image.height); | ||
| const absXMin = Math.floor((xMin / 1000) * image.width); | ||
| const absYMax = Math.floor((yMax / 1000) * image.height); | ||
| const absXMax = Math.floor((xMax / 1000) * image.width); | ||
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| ctx.strokeStyle = colors[i % colors.length]; | ||
| ctx.lineWidth = 4; | ||
| ctx.strokeRect(absXMin, absYMin, absXMax - absXMin, absYMax - absYMin); | ||
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| ctx.fillStyle = colors[i % colors.length]; | ||
| ctx.font = '20px Arial'; | ||
| ctx.fillText(bbox.label, absXMin + 8, absYMin + 20); | ||
| }); | ||
|
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| fs.writeFileSync('output.png', canvas.toBuffer('image/png')); | ||
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| console.log('Saved output to file: output.png'); | ||
| } | ||
|
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| async function createBoundingBox( | ||
| projectId = GOOGLE_CLOUD_PROJECT, | ||
| location = GOOGLE_CLOUD_LOCATION | ||
| ) { | ||
| const client = new GoogleGenAI({ | ||
| vertexai: true, | ||
| project: projectId, | ||
| location: location, | ||
| }); | ||
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| const systemInstruction = ` | ||
| Return bounding boxes as an array with labels. | ||
| Never return masks. Limit to 25 objects. | ||
| If an object is present multiple times, give each object a unique label | ||
| according to its distinct characteristics (colors, size, position, etc.). | ||
| `; | ||
|
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| const safetySettings = [ | ||
| { | ||
| category: 'HARM_CATEGORY_DANGEROUS_CONTENT', | ||
| threshold: 'BLOCK_ONLY_HIGH', | ||
| }, | ||
| ]; | ||
|
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| const imageUri = | ||
| 'https://storage.googleapis.com/generativeai-downloads/images/socks.jpg'; | ||
| const base64Image = await fetchImageAsBase64(imageUri); | ||
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| const boundingBoxSchema = { | ||
| type: 'ARRAY', | ||
| description: 'List of bounding boxes for detected objects', | ||
| items: { | ||
| type: 'OBJECT', | ||
| title: 'BoundingBox', | ||
| description: 'Represents a bounding box with coordinates and label', | ||
| properties: { | ||
| box_2d: { | ||
| type: 'ARRAY', | ||
| description: | ||
| 'Bounding box coordinates in format [y_min, x_min, y_max, x_max]', | ||
| items: { | ||
| type: 'INTEGER', | ||
| format: 'int32', | ||
| }, | ||
| minItems: '4', | ||
| maxItems: '4', | ||
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| }, | ||
| label: { | ||
| type: 'STRING', | ||
| description: 'Label describing the object within the bounding box', | ||
| }, | ||
| }, | ||
| required: ['box_2d', 'label'], | ||
| }, | ||
| }; | ||
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| const response = await client.models.generateContent({ | ||
| model: 'gemini-2.5-flash', | ||
| contents: [ | ||
| { | ||
| role: 'user', | ||
| parts: [ | ||
| { | ||
| text: 'Output the positions of the socks with a face. Label according to position in the image.', | ||
| }, | ||
| { | ||
| inlineData: { | ||
| data: base64Image, | ||
| mimeType: 'image/jpeg', | ||
| }, | ||
| }, | ||
| ], | ||
| }, | ||
| ], | ||
| config: { | ||
| systemInstruction: systemInstruction, | ||
| safetySettings: safetySettings, | ||
| responseMimeType: 'application/json', | ||
| temperature: 0.5, | ||
| responseSchema: boundingBoxSchema, | ||
| }, | ||
| }); | ||
|
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| const candidate = response.candidates[0].content.parts[0].text; | ||
| const boundingBoxes = JSON.parse(candidate); | ||
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| console.log('Bounding boxes:', boundingBoxes); | ||
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| await plotBoundingBoxes(imageUri, boundingBoxes); | ||
| return boundingBoxes; | ||
| } | ||
| // [END googlegenaisdk_boundingbox_with_txt_img] | ||
|
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| module.exports = { | ||
| createBoundingBox, | ||
| }; | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,56 @@ | ||
| // Copyright 2025 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. | ||
|
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| 'use strict'; | ||
|
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| // [START googlegenaisdk_embeddings_docretrieval_with_txt] | ||
| const {GoogleGenAI} = require('@google/genai'); | ||
|
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| const GOOGLE_CLOUD_PROJECT = process.env.GOOGLE_CLOUD_PROJECT; | ||
|
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| async function generateEmbeddingsForRetrieval( | ||
| projectId = GOOGLE_CLOUD_PROJECT | ||
| ) { | ||
| const client = new GoogleGenAI(projectId); | ||
|
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| const prompt = [ | ||
| "How do I get a driver's license/learner's permit?", | ||
| "How long is my driver's license valid for?", | ||
| "Driver's knowledge test study guide", | ||
| ]; | ||
|
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| const response = await client.models.embedContent({ | ||
| model: 'gemini-embedding-001', | ||
| contents: prompt, | ||
| config: { | ||
| taskType: 'RETRIEVAL_DOCUMENT', // Optional | ||
| outputDimensionality: 3072, // Optional | ||
| title: "Driver's License", // Optional | ||
| }, | ||
| }); | ||
|
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| console.log(response); | ||
|
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| // Example response: | ||
| // embeddings=[ContentEmbedding(values=[-0.06302902102470398, 0.00928034819662571, 0.014716853387653828, -0.028747491538524628, ... ], | ||
| // statistics=ContentEmbeddingStatistics(truncated=False, token_count=13.0))] | ||
| // metadata=EmbedContentMetadata(billable_character_count=112) | ||
|
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| return response; | ||
| } | ||
| // [END googlegenaisdk_embeddings_docretrieval_with_txt] | ||
|
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| module.exports = { | ||
| generateEmbeddingsForRetrieval, | ||
| }; |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,43 @@ | ||
| // Copyright 2025 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. | ||
|
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| 'use strict'; | ||
|
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| // [START googlegenaisdk_vertexai_express_mode] | ||
| const {GoogleGenAI} = require('@google/genai'); | ||
| const API_KEY = 'PUT HERE YOUR API KEY'; | ||
|
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| async function generateWithApiKey(apiKey = API_KEY) { | ||
| const client = new GoogleGenAI({ | ||
| vertexai: true, | ||
| apiKey: apiKey, | ||
| }); | ||
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|
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|
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| const response = await client.models.generateContentStream({ | ||
| model: 'gemini-2.5-flash', | ||
| contents: 'Explain bubble sort to me.', | ||
| }); | ||
|
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| console.log(response.text); | ||
|
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| // Example response: | ||
| // Bubble Sort is a simple sorting algorithm that repeatedly steps through the list | ||
|
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| return response; | ||
| } | ||
| // [END googlegenaisdk_vertexai_express_mode] | ||
|
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| module.exports = { | ||
| generateWithApiKey, | ||
| }; | ||
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62 changes: 62 additions & 0 deletions
62
genai/provisioned-throughput/provisionedthroughput-with-txt.js
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,62 @@ | ||
| // Copyright 2025 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. | ||
|
|
||
| 'use strict'; | ||
|
|
||
| // [START googlegenaisdk_provisionedthroughput_with_txt] | ||
| const {GoogleGenAI} = require('@google/genai'); | ||
|
|
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| const GOOGLE_CLOUD_PROJECT = process.env.GOOGLE_CLOUD_PROJECT; | ||
| const GOOGLE_CLOUD_LOCATION = process.env.GOOGLE_CLOUD_LOCATION || 'global'; | ||
|
|
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| async function generateWithProvisionedThroughput( | ||
| projectId = GOOGLE_CLOUD_PROJECT, | ||
| location = GOOGLE_CLOUD_LOCATION | ||
| ) { | ||
| const client = new GoogleGenAI({ | ||
| vertexai: true, | ||
| project: projectId, | ||
| location: location, | ||
| httpOptions: { | ||
| apiVersion: 'v1', | ||
| headers: { | ||
| // Options: | ||
| // - "dedicated": Use Provisioned Throughput | ||
| // - "shared": Use pay-as-you-go | ||
| // https://cloud.google.com/vertex-ai/generative-ai/docs/use-provisioned-throughput | ||
| 'X-Vertex-AI-LLM-Request-Type': 'shared', | ||
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| }, | ||
| }, | ||
| }); | ||
|
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| const response = await client.models.generateContent({ | ||
| model: 'gemini-2.5-flash', | ||
| contents: 'How does AI work?', | ||
| }); | ||
|
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| console.log(response.text); | ||
|
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| // Example response: | ||
| // Okay, let's break down how AI works. It's a broad field, so I'll focus on the ... | ||
| // Here's a simplified overview: | ||
| // ... | ||
|
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| return response.text; | ||
| } | ||
|
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| // [END googlegenaisdk_provisionedthroughput_with_txt] | ||
|
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| module.exports = { | ||
| generateWithProvisionedThroughput, | ||
| }; | ||
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