feat(research): Introduce research API with provider implementations, docs and tests
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102
test/test.openai.ts
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102
test/test.openai.ts
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import { expect, tap } from '@push.rocks/tapbundle';
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import * as qenv from '@push.rocks/qenv';
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import * as smartrequest from '@push.rocks/smartrequest';
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import * as smartfile from '@push.rocks/smartfile';
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const testQenv = new qenv.Qenv('./', './.nogit/');
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import * as smartai from '../ts/index.js';
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let testSmartai: smartai.SmartAi;
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tap.test('OpenAI: should create a smartai instance with OpenAI provider', async () => {
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testSmartai = new smartai.SmartAi({
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openaiToken: await testQenv.getEnvVarOnDemand('OPENAI_TOKEN'),
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});
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await testSmartai.start();
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});
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tap.test('OpenAI: should create chat response', async () => {
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const userMessage = 'How are you?';
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const response = await testSmartai.openaiProvider.chat({
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systemMessage: 'Hello',
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userMessage: userMessage,
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messageHistory: [],
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});
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console.log(`userMessage: ${userMessage}`);
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console.log(response.message);
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});
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tap.test('OpenAI: should document a pdf', async () => {
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const pdfUrl = 'https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf';
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const pdfResponse = await smartrequest.SmartRequest.create()
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.url(pdfUrl)
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.get();
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const result = await testSmartai.openaiProvider.document({
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systemMessage: 'Classify the document. Only the following answers are allowed: "invoice", "bank account statement", "contract", "other". The answer should only contain the keyword for machine use.',
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userMessage: "Classify the document.",
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messageHistory: [],
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pdfDocuments: [Buffer.from(await pdfResponse.arrayBuffer())],
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});
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console.log(result);
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});
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tap.test('OpenAI: should recognize companies in a pdf', async () => {
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const pdfBuffer = await smartfile.fs.toBuffer('./.nogit/demo_without_textlayer.pdf');
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const result = await testSmartai.openaiProvider.document({
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systemMessage: `
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summarize the document.
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answer in JSON format, adhering to the following schema:
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\`\`\`typescript
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type TAnswer = {
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entitySender: {
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type: 'official state entity' | 'company' | 'person';
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name: string;
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address: string;
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city: string;
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country: string;
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EU: boolean; // whether the entity is within EU
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};
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entityReceiver: {
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type: 'official state entity' | 'company' | 'person';
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name: string;
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address: string;
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city: string;
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country: string;
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EU: boolean; // whether the entity is within EU
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};
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date: string; // the date of the document as YYYY-MM-DD
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title: string; // a short title, suitable for a filename
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}
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\`\`\`
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`,
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userMessage: "Classify the document.",
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messageHistory: [],
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pdfDocuments: [pdfBuffer],
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});
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console.log(result);
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});
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tap.test('OpenAI: should create audio response', async () => {
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// Call the audio method with a sample message.
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const audioStream = await testSmartai.openaiProvider.audio({
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message: 'This is a test of audio generation.',
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});
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// Read all chunks from the stream.
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const chunks: Uint8Array[] = [];
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for await (const chunk of audioStream) {
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chunks.push(chunk as Uint8Array);
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}
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const audioBuffer = Buffer.concat(chunks);
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await smartfile.fs.toFs(audioBuffer, './.nogit/testoutput.mp3');
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console.log(`Audio Buffer length: ${audioBuffer.length}`);
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// Assert that the resulting buffer is not empty.
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expect(audioBuffer.length).toBeGreaterThan(0);
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});
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tap.test('OpenAI: should stop the smartai instance', async () => {
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await testSmartai.stop();
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});
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export default tap.start();
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