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feat(genai): Sample/batch prediction (#4181)
Co-authored-by: Holt Skinner <13262395+holtskinner@users.noreply.github.com>
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‎genai/batch-prediction/batchpredict-embeddings-with-gcs.js‎

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// Copyright 2025 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// https://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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'use strict';
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// [START googlegenaisdk_batchpredict_embeddings_with_gcs]
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const {GoogleGenAI} = require('@google/genai');
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const GOOGLE_CLOUD_PROJECT = process.env.GOOGLE_CLOUD_PROJECT;
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const GOOGLE_CLOUD_LOCATION =
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process.env.GOOGLE_CLOUD_LOCATION || 'us-central1';
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const OUTPUT_URI = 'gs://your-bucket/your-prefix';
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async function runBatchPredictionJob(
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outputUri = OUTPUT_URI,
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projectId = GOOGLE_CLOUD_PROJECT,
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location = GOOGLE_CLOUD_LOCATION
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) {
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const client = new GoogleGenAI({
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vertexai: true,
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project: projectId,
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location: location,
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httpOptions: {
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apiVersion: 'v1',
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},
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});
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// See the documentation: https://googleapis.github.io/js-genai/release_docs/classes/batches.Batches.html
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let job = await client.batches.create({
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model: 'text-embedding-005',
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// Source link: https://storage.cloud.google.com/cloud-samples-data/batch/prompt_for_batch_gemini_predict.jsonl
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src: 'gs://cloud-samples-data/generative-ai/embeddings/embeddings_input.jsonl',
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config: {
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dest: outputUri,
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},
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});
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console.log(`Job name: ${job.name}`);
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console.log(`Job state: ${job.state}`);
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// Example response:
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// Job name: projects/%PROJECT_ID%/locations/us-central1/batchPredictionJobs/9876453210000000000
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// Job state: JOB_STATE_PENDING
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const completedStates = new Set([
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'JOB_STATE_SUCCEEDED',
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'JOB_STATE_FAILED',
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'JOB_STATE_CANCELLED',
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'JOB_STATE_PAUSED',
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]);
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while (!completedStates.has(job.state)) {
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await new Promise(resolve => setTimeout(resolve, 30000));
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job = await client.batches.get({name: job.name});
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console.log(`Job state: ${job.state}`);
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}
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// Example response:
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// Job state: JOB_STATE_PENDING
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// Job state: JOB_STATE_RUNNING
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// Job state: JOB_STATE_RUNNING
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// ...
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// Job state: JOB_STATE_SUCCEEDED
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return job.state;
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}
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// [END googlegenaisdk_batchpredict_embeddings_with_gcs]
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module.exports = {
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runBatchPredictionJob,
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};

‎genai/batch-prediction/batchpredict-with-bq.js‎

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// Copyright 2025 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// https://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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'use strict';
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// [START googlegenaisdk_batchpredict_with_bq]
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const {GoogleGenAI} = require('@google/genai');
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const GOOGLE_CLOUD_PROJECT = process.env.GOOGLE_CLOUD_PROJECT;
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const GOOGLE_CLOUD_LOCATION =
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process.env.GOOGLE_CLOUD_LOCATION || 'us-central1';
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const OUTPUT_URI = 'bq://your-project.your_dataset.your_table';
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async function runBatchPredictionJob(
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outputUri = OUTPUT_URI,
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projectId = GOOGLE_CLOUD_PROJECT,
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location = GOOGLE_CLOUD_LOCATION
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) {
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const client = new GoogleGenAI({
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vertexai: true,
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project: projectId,
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location: location,
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httpOptions: {
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apiVersion: 'v1',
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},
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});
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// See the documentation: https://googleapis.github.io/js-genai/release_docs/classes/batches.Batches.html
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let job = await client.batches.create({
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// To use a tuned model, set the model param to your tuned model using the following format:
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// model="projects/{PROJECT_ID}/locations/{LOCATION}/models/{MODEL_ID}"
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model: 'gemini-2.5-flash',
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src: 'bq://storage-samples.generative_ai.batch_requests_for_multimodal_input',
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config: {
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dest: outputUri,
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},
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});
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console.log(`Job name: ${job.name}`);
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console.log(`Job state: ${job.state}`);
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// Example response:
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// Job name: projects/%PROJECT_ID%/locations/us-central1/batchPredictionJobs/9876453210000000000
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// Job state: JOB_STATE_PENDING
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const completedStates = new Set([
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'JOB_STATE_SUCCEEDED',
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'JOB_STATE_FAILED',
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'JOB_STATE_CANCELLED',
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'JOB_STATE_PAUSED',
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]);
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while (!completedStates.has(job.state)) {
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await new Promise(resolve => setTimeout(resolve, 30000));
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job = await client.batches.get({name: job.name});
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console.log(`Job state: ${job.state}`);
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}
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// Example response:
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// Job state: JOB_STATE_PENDING
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// Job state: JOB_STATE_RUNNING
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// Job state: JOB_STATE_RUNNING
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// ...
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// Job state: JOB_STATE_SUCCEEDED
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return job.state;
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}
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// [END googlegenaisdk_batchpredict_with_bq]
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module.exports = {
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runBatchPredictionJob,
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};

‎genai/batch-prediction/batchpredict-with-gcs.js‎

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// Copyright 2025 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// https://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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'use strict';
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// [START googlegenaisdk_batchpredict_with_gcs]
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const {GoogleGenAI} = require('@google/genai');
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const GOOGLE_CLOUD_PROJECT = process.env.GOOGLE_CLOUD_PROJECT;
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const GOOGLE_CLOUD_LOCATION =
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process.env.GOOGLE_CLOUD_LOCATION || 'us-central1';
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const OUTPUT_URI = 'gs://your-bucket/your-prefix';
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async function runBatchPredictionJob(
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outputUri = OUTPUT_URI,
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projectId = GOOGLE_CLOUD_PROJECT,
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location = GOOGLE_CLOUD_LOCATION
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) {
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const client = new GoogleGenAI({
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vertexai: true,
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project: projectId,
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location: location,
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httpOptions: {
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apiVersion: 'v1',
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},
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});
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// See the documentation: https://googleapis.github.io/js-genai/release_docs/classes/batches.Batches.html
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let job = await client.batches.create({
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// To use a tuned model, set the model param to your tuned model using the following format:
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// model="projects/{PROJECT_ID}/locations/{LOCATION}/models/{MODEL_ID}"
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model: 'gemini-2.5-flash',
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// Source link: https://storage.cloud.google.com/cloud-samples-data/batch/prompt_for_batch_gemini_predict.jsonl
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src: 'gs://cloud-samples-data/batch/prompt_for_batch_gemini_predict.jsonl',
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config: {
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dest: outputUri,
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},
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});
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console.log(`Job name: ${job.name}`);
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console.log(`Job state: ${job.state}`);
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// Example response:
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// Job name: projects/%PROJECT_ID%/locations/us-central1/batchPredictionJobs/9876453210000000000
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// Job state: JOB_STATE_PENDING
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const completedStates = new Set([
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'JOB_STATE_SUCCEEDED',
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'JOB_STATE_FAILED',
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'JOB_STATE_CANCELLED',
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'JOB_STATE_PAUSED',
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]);
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while (!completedStates.has(job.state)) {
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await new Promise(resolve => setTimeout(resolve, 30000));
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job = await client.batches.get({name: job.name});
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console.log(`Job state: ${job.state}`);
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}
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// Example response:
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// Job state: JOB_STATE_PENDING
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// Job state: JOB_STATE_RUNNING
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// Job state: JOB_STATE_RUNNING
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// ...
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// Job state: JOB_STATE_SUCCEEDED
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return job.state;
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}
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// [END googlegenaisdk_batchpredict_with_gcs]
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module.exports = {
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runBatchPredictionJob,
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};

‎genai/batch-prediction/package.json‎

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{
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"name": "nodejs-genai-batch-prediction-samples",
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"version": "0.0.1",
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"private": true,
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"license": "Apache-2.0",
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"author": "Google LLC",
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"repository": {
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"type": "git",
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"url": "https://github.com/GoogleCloudPlatform/nodejs-docs-samples.git"
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},
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"engines": {
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"node": ">=16.0.0"
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},
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"files": [
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"*.js"
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],
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"scripts": {
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"test": "c8 mocha -p -j 2 --timeout 2400000 test/*.test.js test/**/*.test.js"
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},
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"dependencies": {
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"@google/genai": "1.30.0"
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},
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"devDependencies": {
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"c8": "^10.0.0",
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"chai": "^4.5.0",
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"mocha": "^10.0.0",
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"proxyquire": "^2.1.3"
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}
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}

‎genai/batch-prediction/test/batchpredict-embeddings-with-gcs.test.js‎

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// Copyright 2025 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// https://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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'use strict';
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const {assert} = require('chai');
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const {describe, it} = require('mocha');
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const projectId = process.env.CAIP_PROJECT_ID;
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const location = 'us-central1';
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const {delay} = require('../../test/util');
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const proxyquire = require('proxyquire');
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const {GoogleGenAI_Mock} = require('./batchprediction-utils');
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const sample = proxyquire('../batchpredict-embeddings-with-gcs', {
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'@google/genai': {
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GoogleGenAI: GoogleGenAI_Mock,
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},
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});
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async function getGcsOutputUri() {
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return {
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uri: 'gs://mock/output',
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async cleanup() {},
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};
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}
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describe('batchpredict-with-gcs', () => {
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it('should return the batch job state', async function () {
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this.timeout(500000);
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this.retries(4);
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await delay(this.test);
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const gcsOutput = await getGcsOutputUri();
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try {
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const output = await sample.runBatchPredictionJob(
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gcsOutput.uri,
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projectId,
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location
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);
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assert.notEqual(output, undefined);
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} finally {
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await gcsOutput.cleanup();
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}
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});
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});

‎genai/batch-prediction/test/batchpredict-with-bq.test.js‎

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// Copyright 2025 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// https://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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'use strict';
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const {assert} = require('chai');
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const {describe, it} = require('mocha');
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const projectId = process.env.CAIP_PROJECT_ID;
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const location = 'us-central1';
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const {delay} = require('../../test/util');
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const proxyquire = require('proxyquire');
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const {GoogleGenAI_Mock} = require('./batchprediction-utils');
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const sample = proxyquire('../batchpredict-with-bq', {
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'@google/genai': {
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GoogleGenAI: GoogleGenAI_Mock,
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},
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});
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async function getBqOutputUri() {
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return {
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uri: 'gs://mock/output',
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async cleanup() {},
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};
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}
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describe('batchpredict-with-bq', () => {
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it('should return the batch job state', async function () {
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this.timeout(500000);
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this.retries(4);
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await delay(this.test);
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const bqOutput = await getBqOutputUri();
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try {
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const output = await sample.runBatchPredictionJob(
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bqOutput.uri,
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projectId,
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location
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);
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assert.notEqual(output, undefined);
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} finally {
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await bqOutput.cleanup();
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}
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});
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});

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