LingXi AI Writing Platform
Aug 24, 2026
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2 min read
AI-powered intelligent article creation platform built on Spring Boot 3 + Spring AI Alibaba, independently designed and developed full-stack.
Project Overview
An AI-powered intelligent article creation platform built on Spring Boot 3 + Spring AI Alibaba. As an independent full-stack project, it explores the practical application of LLMs in long-form content generation.
The system innovatively introduces a StateGraph workflow engine to orchestrate multi-agent collaboration, combined with SSE streaming output, solving the problems of long wait times and loose content structure in traditional AI generation. The system implements a complete automated loop from inspiration to image generation.
Core Features
| Feature | Description |
|---|---|
| 🧠 Multi-Agent Orchestration | StateGraph workflow engine for flexible orchestration of title, outline, and body generation agents |
| ⚡ Streaming Output | SSE technology for millisecond first-token display, eliminating wait anxiety |
| 🔄 Async Task System | ThreadPoolTaskExecutor + @Async decouples long-running operations |
| 🖼️ Multi-Source Images | Strategy pattern for dynamic Pexels/SVG image service integration with auto-fallback |
| 📐 Structured Output | Prompt template engine + StructuredOutputConverter for unified LLM output format |
| 📊 Task Tracking | Progress management and result callback mechanisms |
Technical Highlights
1. Multi-Agent Orchestration Architecture
- StateGraph-based workflow engine replaces traditional linear calls
- Title, outline, and body generation agents in serial/parallel combinations
- New generation modes require only new node configuration
2. High-Concurrency Streaming Response
- SSE (Server-Sent Events) integration with frontend
- ThreadPoolTaskExecutor async task system
- Millisecond first-token display, 50% throughput improvement
3. Fault-Tolerant Generation Pipeline
- Prompt template engine + StructuredOutputConverter for unified output
- Strategy pattern for multi-source image services
- Auto-fallback on single source failure, 99%+ success rate
4. Async Task & Status Tracking
- @Async decouples article/image generation as background tasks
- Task status tracking with progress management
- Significantly improved system throughput
Project Results
- Architecture: StateGraph workflow engine + multi-agent orchestration
- Performance: Millisecond first-token display, 50% throughput improvement
- Reliability: Multi-source image auto-fallback, 99%+ success rate
- Extensibility: New generation modes require only new node configuration
Project Status: ✅ Completed
GitHub: View Source Code
