mirror of
https://github.com/langbot-app/LangBot.git
synced 2026-07-14 16:36:07 +00:00
Hyu
360 lines
10 KiB
TypeScript
360 lines
10 KiB
TypeScript
import { expect, test } from '@playwright/test';
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import { installLangBotApiMocks } from './fixtures/langbot-api';
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import { buildConversationTurns } from '../../src/app/home/monitoring/utils/conversationTurns';
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import {
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ErrorLog,
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LLMCall,
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MonitoringMessage,
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} from '../../src/app/home/monitoring/types/monitoring';
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const bot = {
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id: 'bot-monitoring',
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name: 'Monitoring Bot',
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};
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const pipeline = {
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id: 'pipeline-monitoring',
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name: 'Monitoring Pipeline',
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};
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function time(minute: number) {
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return new Date(`2026-07-02T10:${String(minute).padStart(2, '0')}:00Z`);
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}
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function message(
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id: string,
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role: 'user' | 'assistant',
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minute: number,
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content: string,
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sessionId = 'session-agent',
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): MonitoringMessage {
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return {
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id,
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timestamp: time(minute),
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botId: bot.id,
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botName: bot.name,
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pipelineId: pipeline.id,
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pipelineName: pipeline.name,
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messageContent: content,
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sessionId,
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status: 'success',
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level: 'info',
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platform: role === 'user' ? 'person' : 'bot',
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userId: 'user-1',
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userName: 'Playwright User',
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runnerName: 'local-agent',
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variables: '{}',
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role,
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};
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}
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function llmCall(
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id: string,
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minute: number,
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messageId: string | undefined,
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input: number,
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output: number,
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duration: number,
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sessionId = 'session-agent',
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): LLMCall {
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return {
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id,
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timestamp: time(minute),
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modelName: 'gpt-5.5',
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tokens: {
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input,
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output,
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total: input + output,
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},
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duration,
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status: 'success',
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botId: bot.id,
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botName: bot.name,
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pipelineId: pipeline.id,
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pipelineName: pipeline.name,
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sessionId,
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messageId,
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};
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}
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function errorLog(id: string, minute: number, messageId: string): ErrorLog {
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return {
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id,
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timestamp: time(minute),
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errorType: 'ToolExecutionError',
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errorMessage: 'Tool retry failed',
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botId: bot.id,
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botName: bot.name,
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pipelineId: pipeline.id,
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pipelineName: pipeline.name,
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sessionId: 'session-agent',
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messageId,
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};
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}
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function rawMessage(message: MonitoringMessage) {
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return {
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id: message.id,
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timestamp: message.timestamp.toISOString(),
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bot_id: message.botId,
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bot_name: message.botName,
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pipeline_id: message.pipelineId,
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pipeline_name: message.pipelineName,
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message_content: message.messageContent,
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session_id: message.sessionId,
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status: message.status,
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level: message.level,
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platform: message.platform,
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user_id: message.userId,
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user_name: message.userName,
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runner_name: message.runnerName,
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variables: message.variables,
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role: message.role,
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};
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}
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function rawLlmCall(call: LLMCall) {
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return {
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id: call.id,
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timestamp: call.timestamp.toISOString(),
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model_name: call.modelName,
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input_tokens: call.tokens.input,
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output_tokens: call.tokens.output,
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total_tokens: call.tokens.total,
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duration: call.duration,
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cost: call.cost,
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status: call.status,
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bot_id: call.botId,
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bot_name: call.botName,
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pipeline_id: call.pipelineId,
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pipeline_name: call.pipelineName,
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session_id: call.sessionId,
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error_message: call.errorMessage,
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message_id: call.messageId,
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};
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}
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function rawError(error: ErrorLog) {
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return {
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id: error.id,
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timestamp: error.timestamp.toISOString(),
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error_type: error.errorType,
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error_message: error.errorMessage,
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bot_id: error.botId,
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bot_name: error.botName,
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pipeline_id: error.pipelineId,
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pipeline_name: error.pipelineName,
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session_id: error.sessionId,
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stack_trace: error.stackTrace,
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message_id: error.messageId,
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};
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}
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function monitoringScenario() {
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const messages = [
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message(
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'single-user',
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'user',
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1,
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'Standalone question with no reply',
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'session-single',
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),
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message('agent-user-1', 'user', 10, 'Need deployment plan'),
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message('agent-assistant-1', 'assistant', 11, 'Agent step 1: inspect repo'),
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message('agent-assistant-2', 'assistant', 12, 'Agent step 2: run tests'),
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message(
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'agent-assistant-3',
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'assistant',
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13,
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'Final answer: deployment plan ready',
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),
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message('agent-user-2', 'user', 20, 'Continue with rollback plan'),
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message('agent-assistant-4', 'assistant', 21, 'Rollback plan ready'),
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];
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const llmCalls = [
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llmCall('agent-call-1', 10, 'agent-user-1', 100, 40, 120),
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llmCall('agent-call-2', 11, 'agent-user-1', 200, 60, 220),
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llmCall('agent-call-3', 12, 'agent-user-1', 300, 90, 260),
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llmCall('agent-call-4', 20, 'agent-user-2', 50, 25, 80),
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];
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const errors = [errorLog('agent-error-1', 12, 'agent-user-1')];
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return {
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messages,
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llmCalls,
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errors,
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};
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}
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function rawMonitoringData() {
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const scenario = monitoringScenario();
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return {
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overview: {
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total_messages: scenario.messages.length,
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llm_calls: scenario.llmCalls.length,
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embedding_calls: 0,
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model_calls: scenario.llmCalls.length,
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success_rate: 100,
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active_sessions: 2,
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},
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messages: scenario.messages.map(rawMessage),
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llmCalls: scenario.llmCalls.map(rawLlmCall),
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embeddingCalls: [],
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sessions: [],
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errors: scenario.errors.map(rawError),
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totalCount: {
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messages: scenario.messages.length,
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llmCalls: scenario.llmCalls.length,
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embeddingCalls: 0,
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sessions: 0,
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errors: scenario.errors.length,
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},
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};
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}
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test.describe('monitoring conversation turn grouping', () => {
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test('keeps a single user message as one observable turn', () => {
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const userOnly = message(
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'single-user-only',
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'user',
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1,
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'No answer yet',
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'session-user-only',
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);
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const turns = buildConversationTurns([userOnly], [], []);
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expect(turns).toHaveLength(1);
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expect(turns[0].id).toBe(userOnly.id);
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expect(turns[0].userMessage?.messageContent).toBe('No answer yet');
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expect(turns[0].assistantMessages).toHaveLength(0);
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expect(turns[0].llmCalls).toHaveLength(0);
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expect(turns[0].totalTokens).toBe(0);
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});
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test('groups multi-step agent execution and multiple replies into one user turn', () => {
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const scenario = monitoringScenario();
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const turns = buildConversationTurns(
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scenario.messages,
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scenario.llmCalls,
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scenario.errors,
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);
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const agentTurn = turns.find((turn) => turn.id === 'agent-user-1');
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expect(agentTurn).toBeTruthy();
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expect(agentTurn?.userMessage?.messageContent).toBe('Need deployment plan');
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expect(
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agentTurn?.assistantMessages.map((item) => item.messageContent),
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).toEqual([
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'Agent step 1: inspect repo',
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'Agent step 2: run tests',
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'Final answer: deployment plan ready',
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]);
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expect(agentTurn?.llmCalls).toHaveLength(3);
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expect(agentTurn?.errors).toHaveLength(1);
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expect(agentTurn?.totalTokens).toBe(790);
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expect(agentTurn?.totalDuration).toBe(600);
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});
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test('starts a new turn for each later user message in the same session', () => {
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const firstUser = message('same-session-user-1', 'user', 1, 'First');
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const firstReply = message(
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'same-session-reply-1',
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'assistant',
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2,
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'First reply',
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);
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const secondUser = message('same-session-user-2', 'user', 3, 'Second');
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const secondReply = message(
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'same-session-reply-2',
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'assistant',
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4,
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'Second reply',
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);
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const turns = buildConversationTurns(
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[firstUser, firstReply, secondUser, secondReply],
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[
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llmCall('same-session-call-1', 1, firstUser.id, 10, 5, 40),
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llmCall('same-session-call-2', 3, secondUser.id, 20, 10, 50),
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],
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[],
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);
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expect(turns.map((turn) => turn.id)).toEqual([
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'same-session-user-2',
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'same-session-user-1',
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]);
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expect(
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turns[0].assistantMessages.map((item) => item.messageContent),
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).toEqual(['Second reply']);
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expect(
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turns[1].assistantMessages.map((item) => item.messageContent),
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).toEqual(['First reply']);
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});
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test('attaches calls without message ids by session time', () => {
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const user = message('fallback-user', 'user', 1, 'Use session fallback');
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const assistant = message(
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'fallback-assistant',
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'assistant',
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2,
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'Fallback reply',
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);
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const call = llmCall('fallback-call', 2, undefined, 25, 5, 70);
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const turns = buildConversationTurns([user, assistant], [call], []);
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expect(turns).toHaveLength(1);
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expect(turns[0].llmCalls).toHaveLength(1);
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expect(turns[0].llmCalls[0].id).toBe(call.id);
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expect(turns[0].totalTokens).toBe(30);
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});
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test('renders user-only, multi-agent, and multi-turn cases in the monitoring page', async ({
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page,
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}) => {
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await installLangBotApiMocks(page, {
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authenticated: true,
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monitoringData: rawMonitoringData(),
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});
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await page.goto('/home/monitoring');
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await expect(page.getByText('3 conversation turns')).toBeVisible();
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await expect(
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page.getByText('Standalone question with no reply'),
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).toBeVisible();
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await expect(page.getByText('No assistant reply recorded')).toBeVisible();
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await expect(page.getByText('Need deployment plan')).toBeVisible();
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await expect(page.getByText('Agent step 1: inspect repo')).toBeVisible();
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await expect(page.getByText('Assistant +2')).toBeVisible();
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await expect(page.getByText('3 LLM')).toBeVisible();
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await expect(page.getByText('790 tokens')).toBeVisible();
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await expect(page.getByText('1 errors')).toBeVisible();
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await expect(page.getByText('Continue with rollback plan')).toBeVisible();
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await expect(page.getByText('Rollback plan ready')).toBeVisible();
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const agentTurn = page
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.locator('div[role="button"]')
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.filter({ hasText: 'Need deployment plan' });
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await expect(agentTurn).toHaveCount(1);
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await agentTurn.click();
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await expect(page.getByText('Conversation Trace')).toBeVisible();
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await expect(page.getByText('Agent step 2: run tests')).toBeVisible();
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await expect(
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page.getByText('Final answer: deployment plan ready'),
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).toBeVisible();
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await expect(page.getByText('LLM Calls (3)')).toBeVisible();
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await expect(page.getByText('#3 gpt-5.5')).toBeVisible();
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await expect(page.getByText('In: 300')).toBeVisible();
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await expect(page.getByText('Out: 90')).toBeVisible();
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await expect(page.getByText('Total: 390')).toBeVisible();
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await expect(page.getByText('Tool retry failed')).toBeVisible();
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});
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});
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