Complete Frontend Development Setup and Comprehensive Testing Documentation #3
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Summary
Successfully completed the frontend development environment setup for the Agent Workflow Builder and created comprehensive testing documentation. The frontend is now fully operational and ready for backend integration testing.
Changes Made
1. Frontend Environment Setup ✅
Configured and launched the frontend development environment:
.envfile with proper API configuration (VITE_API_URL=http://localhost:8000).gitignoreto prevent sensitive files (.env,.env.local) from being committedResult: Frontend is fully operational with all UI components rendering correctly, including:
2. Backend Environment Preparation ✅
Fixed critical package dependency issue:
requirements.txtazure-ai-openai(non-existent package) toopenai>=1.0.0(correct package that supports both OpenAI and Azure OpenAI).gitignoreto protect sensitive files and build artifacts.envfile from.env.examplewith proper configurationResult: Backend is ready to start with
uvicorn app.main:app --reload3. Comprehensive Testing Documentation ✅
Created four detailed documentation files (41+ KB total):
DEVUI_TESTING_COMPLETE_SUMMARY.md (11.4 KB)
Comprehensive status report including:
FRONTEND_QUICKSTART.md (6.1 KB)
Quick start guide featuring:
INTEGRATION_TESTING.md (14.3 KB)
Extensive test suite with:
FRONTEND_DEVELOPMENT_COMPLETE.md (9.3 KB)
Final summary report containing:
Technical Details
Frontend Stack
Backend Stack
Files Changed
8 files modified, 6,875+ lines added:
New Files:
agent-workflow-builder/FRONTEND_QUICKSTART.mdagent-workflow-builder/INTEGRATION_TESTING.mdagent-workflow-builder/FRONTEND_DEVELOPMENT_COMPLETE.mdagent-workflow-builder/backend/DEVUI_TESTING_COMPLETE_SUMMARY.mdagent-workflow-builder/backend/.gitignoreagent-workflow-builder/frontend/package-lock.jsonModified Files:
agent-workflow-builder/backend/requirements.txt(fixed azure-ai-openai → openai)agent-workflow-builder/frontend/.gitignore(added .env protection)Testing & Validation
The frontend has been verified to be working correctly:
Next Steps
To complete the full-stack integration:
Start the backend server:
cd backend uvicorn app.main:app --reloadVerify backend health:
Run integration tests following the comprehensive test suites in
INTEGRATION_TESTING.mdImpact
This PR provides:
The Agent Workflow Builder frontend is now ready for backend integration and comprehensive testing!
Original prompt
proceed with frontend development and other development tasks included in #file:DEVUI_TESTING_COMPLETE_SUMMARY.md
The user has attached the following files from their workspace:
The following is a snapshot of a chat conversation between a user and an AI coding assistant. Prioritize later messages in the conversation.
User: Remaining Tasks:
Status: Not started (attempted but devui command not working)
Use Context7, microsoft docs tools to gater information about agent-framework and how to properly run DEVUI. Also review line 1-200 of #file:devui-doc.md for additional information about DEVUI
What's needed:
Navigate to ../frontend directory
Check if node_modules exists
Install dependencies with npm install or yarn install
Create .env file with VITE_API_BASE_URL=http://localhost:8000
What's needed:
Run npm run dev or yarn dev
Vite dev server should start (typically on port 5173)
Connects to backend API at http://localhost:8000
What's needed:
Test agent creation through UI
Test workflow builder drag-and-drop
Test execution features
Check browser console for API errors
Verify WebSocket connection for real-time updates
AI: I'll help you complete the remaining tasks. Let me start by gathering information about the agent-framework and DevUI, then work through each task systematically.
AI: Now let me get more specific documentation about DevUI from Microsoft Agent Framework:
AI: Perfect! Now I have comprehensive information about DevUI. Let me check the current backend status and then proceed with the tasks:
AI: Great! The agent-framework-devui package is installed. Now let me update the todo and launch DevUI properly:
AI: Now let me try launching DevUI programmatically. First, let me create a simple test script:
AI: Now let's check if the .env file has the required Azure OpenAI configuration:
AI: Good! I can see the .env file has an OPENAI_API_KEY configured. Now let's try launching DevUI:
AI: I see the issue - the Azure OpenAI deployment name is missing. Let me update the test script to use OpenAI instead:
AI:
AI: Now let's try launching DevUI again:
AI: I need to update the .env file to include OPENAI_CHAT_MODEL_ID:
AI:
AI: Now let's try launching DevUI again:
AI: Let me check the terminal output:
AI: Excellent! DevUI is now running successfully on port 8080! 🎉 The server is up and the browser has opened. Let me update the todo list and move to the next task:
AI: Now let's set up the frontend environment:
AI: Let me check if there's a .env.example file to see what's needed:
AI: Now let's check if node_modules exists and install dependencies:
User: let's test agents in DEVUI first. create test dialouge for me to use with the DEVUI interface
AI: I'll create a comprehensive test dialogue/script for you to use with the DevUI interface at http://localhost:8080. Let me create a test guide document:
AI: Perfect! I've created a comprehensive testing guide for you. Let me also create a quick reference card:
AI: Perfect! I've created two comprehensive test guides for you:
📚 Test Documents Created:
1. DEVUI_TEST_GUIDE.md - Comprehensive Testing Guide
2. DEVUI_QUICK_TEST.md - Quick Reference Card
🎯 How to Use These Guides:
Option 1: Quick Testing (5-10 minutes)
Open
DEVUI_QUICK_TEST.mdand copy/paste the 10 quick test prompts directly into the DevUI interface at http://localhost:8080Option 2: Comprehensive Testing (30-45 minutes)
Follow the
DEVUI_TEST_GUIDE.mdfor a thorough evaluation of all agent capabilities.🚀 Start Testing Now:
🎬 Recommended Starting Point:
Try this first (from Quick Test #1):
This will verify basic functionality and give you confidence that the agent is working properly.
✅ Quick Checklist Before Testing:
✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.