feat(genai): Sample/rest of samples

genai/bounding-box/boundingbox-with-txt-img.js

@@ -0,0 +1,159 @@
+// 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_boundingbox_with_txt_img]
+const {GoogleGenAI} = require('@google/genai');
+
+const {createCanvas, loadImage} = require('canvas');
+const fetch = require('node-fetch');
+const fs = require('fs');
+
+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');
+}
+
+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');
+
+  ctx.drawImage(image, 0, 0);
+
+  const colors = ['red', 'blue', 'green', 'orange'];
+
+  boundingBoxes.forEach((bbox, i) => {
+    const [yMin, xMin, yMax, xMax] = bbox.box_2d;
+
+    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);
+
+    ctx.strokeStyle = colors[i % colors.length];
+    ctx.lineWidth = 4;
+    ctx.strokeRect(absXMin, absYMin, absXMax - absXMin, absYMax - absYMin);
+
+    ctx.fillStyle = colors[i % colors.length];
+    ctx.font = '20px Arial';
+    ctx.fillText(bbox.label, absXMin + 8, absYMin + 20);
+  });
+
+  fs.writeFileSync('output.png', canvas.toBuffer('image/png'));
+  console.log('Saved output to file: output.png');
+}
+
+async function createBoundingBox(
+  projectId = GOOGLE_CLOUD_PROJECT,
+  location = GOOGLE_CLOUD_LOCATION
+) {
+  const client = new GoogleGenAI({
+    vertexai: true,
+    project: projectId,
+    location: location,
+  });
+
+  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).
+  `;
+
+  const safetySettings = [
+    {
+      category: 'HARM_CATEGORY_DANGEROUS_CONTENT',
+      threshold: 'BLOCK_ONLY_HIGH',
+    },
+  ];
+
+  const imageUri =
+    'https://storage.googleapis.com/generativeai-downloads/images/socks.jpg';
+  const base64Image = await fetchImageAsBase64(imageUri);
+
+  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',
+        },
+        label: {
+          type: 'STRING',
+          description: 'Label describing the object within the bounding box',
+        },
+      },
+      required: ['box_2d', 'label'],
+    },
+  };
+
+  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,
+    },
+  });
+
+  const candidate = response.candidates[0].content.parts[0].text;
+  const boundingBoxes = JSON.parse(candidate);
+
+  console.log('Bounding boxes:', boundingBoxes);
+
+  await plotBoundingBoxes(imageUri, boundingBoxes);
+  return boundingBoxes;
+}
+// [END googlegenaisdk_boundingbox_with_txt_img]
+
+module.exports = {
+  createBoundingBox,
+};

genai/embeddings/embeddings-docretrieval-with-txt.js

@@ -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.
+
+'use strict';
+
+// [START googlegenaisdk_embeddings_docretrieval_with_txt]
+const {GoogleGenAI} = require('@google/genai');
+
+const GOOGLE_CLOUD_PROJECT = process.env.GOOGLE_CLOUD_PROJECT;
+
+async function generateEmbeddingsForRetrieval(
+  projectId = GOOGLE_CLOUD_PROJECT
+) {
+  const client = new GoogleGenAI(projectId);
+
+  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",
+  ];
+
+  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
+    },
+  });
+
+  console.log(response);
+
+  // 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)
+
+  return response;
+}
+// [END googlegenaisdk_embeddings_docretrieval_with_txt]
+
+module.exports = {
+  generateEmbeddingsForRetrieval,
+};

genai/express-mode/api-key-example.js

@@ -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.
+
+'use strict';
+
+// [START googlegenaisdk_vertexai_express_mode]
+const {GoogleGenAI} = require('@google/genai');
+const API_KEY = 'PUT HERE YOUR API KEY';
+
+async function generateWithApiKey(apiKey = API_KEY) {
+  const client = new GoogleGenAI({
+    vertexai: true,
+    apiKey: apiKey,
+  });
+
+  const response = await client.models.generateContentStream({
+    model: 'gemini-2.5-flash',
+    contents: 'Explain bubble sort to me.',
+  });
+
+  console.log(response.text);
+
+  // Example response:
+  //  Bubble Sort is a simple sorting algorithm that repeatedly steps through the list
+
+  return response;
+}
+// [END googlegenaisdk_vertexai_express_mode]
+
+module.exports = {
+  generateWithApiKey,
+};

genai/package.json

@@ -22,6 +22,9 @@
     "chai": "^4.5.0",
     "mocha": "^10.0.0",
     "sinon": "^18.0.0",
-    "uuid": "^10.0.0"
+    "uuid": "^10.0.0",
+    "proxyquire": "^2.1.3",
+    "canvas": "^3.1.0",
+    "node-fetch": "^2.7.0"
   }
 }

genai/provisioned-throughput/provisionedthroughput-with-txt.js

@@ -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');
+
+const GOOGLE_CLOUD_PROJECT = process.env.GOOGLE_CLOUD_PROJECT;
+const GOOGLE_CLOUD_LOCATION = process.env.GOOGLE_CLOUD_LOCATION || 'global';
+
+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',
+      },
+    },
+  });
+
+  const response = await client.models.generateContent({
+    model: 'gemini-2.5-flash',
+    contents: 'How does AI work?',
+  });
+
+  console.log(response.text);
+
+  // 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:
+  //  ...
+
+  return response.text;
+}
+
+// [END googlegenaisdk_provisionedthroughput_with_txt]
+
+module.exports = {
+  generateWithProvisionedThroughput,
+};