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add API retrieve_elastic_doc tests (#214880)
Related: https://github.com/elastic/kibana/issues/180787 - Adds test for `retrieve_elastic_doc` function
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/*
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* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
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* or more contributor license agreements. Licensed under the Elastic License
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* 2.0; you may not use this file except in compliance with the Elastic License
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* 2.0.
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*/
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import expect from '@kbn/expect';
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import {
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LlmProxy,
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createLlmProxy,
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} from '../../../../../../../observability_ai_assistant_api_integration/common/create_llm_proxy';
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import { chatComplete } from './helpers';
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import type { DeploymentAgnosticFtrProviderContext } from '../../../../../ftr_provider_context';
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import { installProductDoc, uninstallProductDoc } from '../../utils/product_doc_base';
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export default function ApiTest({ getService }: DeploymentAgnosticFtrProviderContext) {
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const log = getService('log');
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const observabilityAIAssistantAPIClient = getService('observabilityAIAssistantApi');
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describe('retrieve_elastic_doc', function () {
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// Fails on MKI: https://github.com/elastic/kibana/issues/205581
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this.tags(['failsOnMKI']);
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const supertest = getService('supertest');
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const USER_MESSAGE = 'What is Kibana Lens?';
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describe('POST /internal/observability_ai_assistant/chat/complete without product doc installed', function () {
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let llmProxy: LlmProxy;
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let connectorId: string;
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before(async () => {
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llmProxy = await createLlmProxy(log);
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connectorId = await observabilityAIAssistantAPIClient.createProxyActionConnector({
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port: llmProxy.getPort(),
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});
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void llmProxy.interceptConversation('Hello from LLM Proxy');
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await chatComplete({
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userPrompt: USER_MESSAGE,
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connectorId,
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observabilityAIAssistantAPIClient,
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});
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await llmProxy.waitForAllInterceptorsToHaveBeenCalled();
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});
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after(async () => {
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llmProxy.close();
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await observabilityAIAssistantAPIClient.deleteActionConnector({
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actionId: connectorId,
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});
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});
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it('makes 1 requests to the LLM', () => {
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expect(llmProxy.interceptedRequests.length).to.be(1);
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});
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it('not contain retrieve_elastic_doc function when product doc is not installed', () => {
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expect(
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llmProxy.interceptedRequests.flatMap(({ requestBody }) =>
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requestBody.tools?.map((t) => t.function.name)
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)
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).to.not.contain('retrieve_elastic_doc');
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});
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it('contains the original user message', () => {
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const everyRequestHasUserMessage = llmProxy.interceptedRequests.every(({ requestBody }) =>
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requestBody.messages.some(
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(message) => message.role === 'user' && (message.content as string) === USER_MESSAGE
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)
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);
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expect(everyRequestHasUserMessage).to.be(true);
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});
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});
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// Calling `retrieve_elastic_doc` via the chat/complete endpoint
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describe('POST /internal/observability_ai_assistant/chat/complete', function () {
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let llmProxy: LlmProxy;
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let connectorId: string;
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before(async () => {
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llmProxy = await createLlmProxy(log);
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connectorId = await observabilityAIAssistantAPIClient.createProxyActionConnector({
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port: llmProxy.getPort(),
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});
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await installProductDoc(supertest);
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void llmProxy.interceptWithFunctionRequest({
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name: 'retrieve_elastic_doc',
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arguments: () => JSON.stringify({}),
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when: () => true,
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});
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void llmProxy.interceptConversation('Hello from LLM Proxy');
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await chatComplete({
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userPrompt: USER_MESSAGE,
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connectorId,
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observabilityAIAssistantAPIClient,
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});
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await llmProxy.waitForAllInterceptorsToHaveBeenCalled();
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});
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after(async () => {
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await uninstallProductDoc(supertest);
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llmProxy.close();
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await observabilityAIAssistantAPIClient.deleteActionConnector({
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actionId: connectorId,
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});
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});
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it('makes 6 requests to the LLM', () => {
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expect(llmProxy.interceptedRequests.length).to.be(6);
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});
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it('every request contain retrieve_elastic_doc function', () => {
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const everyRequestHasRetrieveElasticDoc = llmProxy.interceptedRequests.every(
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({ requestBody }) =>
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requestBody.tools?.some((t) => t.function.name === 'retrieve_elastic_doc')
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);
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expect(everyRequestHasRetrieveElasticDoc).to.be(true);
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});
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it('contains the original user message', () => {
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const everyRequestHasUserMessage = llmProxy.interceptedRequests.every(({ requestBody }) =>
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requestBody.messages.some(
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(message) => message.role === 'user' && (message.content as string) === USER_MESSAGE
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)
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);
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expect(everyRequestHasUserMessage).to.be(true);
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});
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});
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});
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}
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@ -20,6 +20,7 @@ export default function aiAssistantApiIntegrationTests({
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loadTestFile(require.resolve('./complete/functions/get_dataset_info.spec.ts'));
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loadTestFile(require.resolve('./complete/functions/execute_query.spec.ts'));
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loadTestFile(require.resolve('./complete/functions/elasticsearch.spec.ts'));
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loadTestFile(require.resolve('./complete/functions/retrieve_elastic_doc.spec.ts'));
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loadTestFile(require.resolve('./complete/functions/summarize.spec.ts'));
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loadTestFile(require.resolve('./complete/functions/recall.spec.ts'));
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loadTestFile(require.resolve('./public_complete/public_complete.spec.ts'));
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@ -0,0 +1,31 @@
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/*
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* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
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* or more contributor license agreements. Licensed under the Elastic License
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* 2.0; you may not use this file except in compliance with the Elastic License
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* 2.0.
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*/
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import {
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ELASTIC_HTTP_VERSION_HEADER,
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X_ELASTIC_INTERNAL_ORIGIN_REQUEST,
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} from '@kbn/core-http-common';
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import type SuperTest from 'supertest';
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export async function installProductDoc(supertest: SuperTest.Agent) {
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return supertest
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.post('/internal/product_doc_base/install')
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.set(ELASTIC_HTTP_VERSION_HEADER, '1')
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.set(X_ELASTIC_INTERNAL_ORIGIN_REQUEST, 'kibana')
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.set('kbn-xsrf', 'foo')
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.expect(200);
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}
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export async function uninstallProductDoc(supertest: SuperTest.Agent) {
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return supertest
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.post('/internal/product_doc_base/uninstall')
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.set(ELASTIC_HTTP_VERSION_HEADER, '1')
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.set(X_ELASTIC_INTERNAL_ORIGIN_REQUEST, 'kibana')
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.set('kbn-xsrf', 'foo')
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.expect(200);
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}
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