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feat: chat prompt sample for Vertex LLMs #3246

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103 changes: 103 additions & 0 deletions ai-platform/snippets/predict-chat-prompt.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,103 @@
/*
* Copyright 2023 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';

async function main(project, location = 'us-central1') {
// [START aiplatform_sdk_chat]
/**
* TODO(developer): Uncomment these variables before running the sample.\
* (Not necessary if passing values as arguments)
*/
// const project = 'YOUR_PROJECT_ID';
// const location = 'YOUR_PROJECT_LOCATION';
const aiplatform = require('@google-cloud/aiplatform');

// Imports the Google Cloud Prediction service client
const {PredictionServiceClient} = aiplatform.v1;

// Import the helper module for converting arbitrary protobuf.Value objects.
const {helpers} = aiplatform;

// Specifies the location of the api endpoint
const clientOptions = {
apiEndpoint: 'us-central1-aiplatform.googleapis.com',
};
const publisher = 'google';
const model = 'chat-bison@001';

// Instantiates a client
const predictionServiceClient = new PredictionServiceClient(clientOptions);

async function callPredict() {
// Configure the parent resource
const endpoint = `projects/${project}/locations/${location}/publishers/${publisher}/models/${model}`;

const prompt = {
context:
'My name is Miles. You are an astronomer, knowledgeable about the solar system.',
examples: [
{
input: {content: 'How many moons does Mars have?'},
output: {
content: 'The planet Mars has two moons, Phobos and Deimos.',
},
},
],
messages: [
{
author: 'user',
content: 'How many planets are there in the solar system?',
},
],
};
const instanceValue = helpers.toValue(prompt);
const instances = [instanceValue];

const parameter = {
temperature: 0.2,
maxOutputTokens: 256,
topP: 0.95,
topK: 40,
};
const parameters = helpers.toValue(parameter);

const request = {
endpoint,
instances,
parameters,
};

// Predict request
const [response] = await predictionServiceClient.predict(request);
console.log('Get chat prompt response');
const predictions = response.predictions;
console.log('\tPredictions :');
for (const prediction of predictions) {
console.log(`\t\tPrediction : ${JSON.stringify(prediction)}`);
}
}

callPredict();
// [END aiplatform_sdk_chat]
}

process.on('unhandledRejection', err => {
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issue: remove CLI per https://googlecloudplatform.github.io/samples-style-guide/#no-cli

Example of how to do it: #2888

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Noted. As discussed, we can handle this later with task "Remove the CLI structure from the Node.js samples for LLMs to track the changes." (b/285884334)

console.error(err.message);
process.exitCode = 1;
});

main(...process.argv.slice(2));
40 changes: 40 additions & 0 deletions ai-platform/snippets/test/predict-chat-prompt.test.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,40 @@
/*
* Copyright 2023 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';

const path = require('path');
const {assert} = require('chai');
const {describe, it} = require('mocha');

const cp = require('child_process');
const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
const cwd = path.join(__dirname, '..');

const project = process.env.CAIP_PROJECT_ID;
const location = 'us-central1';

describe('AI platform predict chat prompt', () => {
it('should make predictions using a large language model', async () => {
const stdout = execSync(
`node ./predict-chat-prompt.js ${project} ${location}`,
{
cwd,
}
);
assert.match(stdout, /Get chat prompt response/);
});
});