Roadmap¶

文档版本: 1.0.0
最后更新: 2025-08-19
Git 提交: c1aa5b0f
作者: Lincoln

This document outlines the future development plans and feature roadmap for the JAiRouter project.

Project Vision¶

JAiRouter aims to become the best open-source AI model service routing gateway, providing users with:

• Unified Access: One gateway to access all AI model services
• Intelligent Routing: Smart load balancing based on multiple strategies
• High Availability: Robust fault tolerance and recovery mechanisms
• Ease of Use: Simple configuration and comprehensive documentation
• High Performance: Support for large-scale concurrency and low-latency responses
• Observability: Comprehensive monitoring, logging, and distributed tracing

Version Planning¶

🚧 v0.4.0 - Security and Authentication (Q2 2025)¶

Core Features¶

• Multi-tenancy Support
• Tenant isolation and resource quotas
• Tenant-based configuration management

• Tenant-level monitoring and statistics

• Authentication and Authorization

• API Key authentication mechanism
• JWT Token support
• OAuth 2.0 integration

• Role-Based Access Control (RBAC)

• Security Enhancement

• Request/response data obfuscation
• Encrypted storage of sensitive information
• Security audit logs
• Protection against malicious requests

Technical Improvements¶

• Spring Security integration
• Database support (PostgreSQL/MySQL)
• Cache layer optimization (Redis)
• Security scanning and vulnerability fixes

Expected Benefits¶

• Support for enterprise-level multi-tenant deployment
• Compliance with security requirements
• Complete user management system

🎯 v0.5.0 - Intelligent Enhancement (Q3 2025)¶

Core Features¶

• Intelligent Routing
• Smart selection based on model capabilities
• Cost-optimized routing strategies
• Adaptive load balancing

• Model performance prediction

• Automated Operations

• Auto-scaling
• Intelligent fault detection and recovery
• Configuration optimization suggestions

• Predictive maintenance

• Advanced Monitoring

• Business metrics analysis
• User behavior analysis
• Cost analysis and optimization suggestions
• Smart alert noise reduction

Technical Features¶

• Machine learning model integration
• Time-series data analysis
• Automated decision engine
• Advanced data visualization

Expected Benefits¶

• Reduced operational costs
• Enhanced system intelligence
• Optimized resource utilization

🌐 v0.6.0 - Cloud Native and Ecosystem (Q4 2025)¶

Core Features¶

• Cloud Native Support
• Kubernetes Operator
• Helm Charts support
• Service mesh integration (Istio)

• Cloud platform adaptation (AWS/Azure/GCP)

• Ecosystem Integration

• Support for more AI model platforms
• Integration with mainstream development frameworks
• CI/CD toolchain integration

• Third-party monitoring system integration

• Developer Experience

• SDKs and client libraries
• Developer portal
• Online debugging tools
• Community plugin marketplace

Technical Architecture¶

• Microservices architecture refactoring
• Event-driven architecture
• Plugin-based extension mechanism
• Standardized API specifications

Expected Benefits¶

• Better cloud-native experience
• Rich ecosystem
• Reduced integration costs

🚀 v1.0.0 - Production Ready (Q1 2026)¶

Milestone Goals¶

• Enterprise-grade Stability
• 99.99% availability guarantee
• Complete disaster recovery solution

• Enterprise-level support services

• Performance Benchmark

• Support for 100k+ RPS
• Millisecond-level response latency

• Linear scalability

• Complete Ecosystem

• Mature community ecosystem
• Rich plugins and extensions
• Comprehensive documentation and training

Quality Assurance¶

• Comprehensive automated testing
• Performance benchmark testing
• Security penetration testing
• Long-term stability verification

Feature Planning¶

Adapter Extensions¶

Already Supported¶

• ✅ GPUStack
• ✅ Ollama
• ✅ VLLM
• ✅ Xinference
• ✅ LocalAI
• ✅ OpenAI

Planned Support¶

• 🔄 Anthropic Claude (v0.4.0)
• 🔄 Google Gemini (v0.4.0)
• 📋 Cohere API (v0.5.0)
• 📋 Hugging Face Inference (v0.5.0)
• 📋 Azure OpenAI (v0.5.0)
• 📋 AWS Bedrock (v0.6.0)
• 📋 Alibaba Cloud Bailian (v0.6.0)
• 📋 Tencent Cloud HunYuan (v0.6.0)

Load Balancing Strategies¶

Already Implemented¶

• ✅ Random
• ✅ Round Robin
• ✅ Least Connections
• ✅ IP Hash

Planned Implementation¶

• 🔄 Weighted Round Robin - v0.4.0
• 🔄 Consistent Hash - v0.4.0
• 📋 Latency-based - v0.5.0
• 📋 Cost-based - v0.5.0
• 📋 Model Capability-based - v0.5.0

Rate Limiting Algorithms¶

Already Implemented¶

• ✅ Token Bucket
• ✅ Leaky Bucket
• ✅ Sliding Window
• ✅ Warm Up

Planned Implementation¶

• 🔄 Adaptive Rate Limiting - v0.4.0
• 📋 Distributed Rate Limiting - v0.5.0
• 📋 User-based Rate Limiting - v0.4.0

Monitoring and Observability¶

Already Implemented¶

• ✅ Prometheus metrics
• ✅ Grafana dashboards
• ✅ Health checks
• ✅ Basic alerts

Planned Implementation¶

• 🔄 Distributed tracing (Jaeger/Zipkin) - v0.4.0
• 🔄 Structured logging (ELK Stack) - v0.4.0
• 📋 Business metrics analysis - v0.5.0
• 📋 User behavior analysis - v0.5.0
• 📋 Cost analysis - v0.5.0

Technical Evolution¶

Architecture Evolution¶

Current Architecture (v0.3.x)¶

Monolithic application → Modular design → Reactive programming

Target Architecture (v1.0)¶

Microservices architecture → Event-driven → Cloud-native deployment

Technology Stack Evolution¶

Core Technologies¶

• Current: Spring Boot 3.5.x + WebFlux
• Future: Spring Boot 3.x + Spring Cloud + Kubernetes

Data Storage¶

• Current: File storage + In-memory cache
• Future: PostgreSQL + Redis + Time-series database

Monitoring System¶

• Current: Prometheus + Grafana
• Future: Complete observability platform (Metrics + Logs + Traces)

Performance Goals¶

Community Development¶

Open Source Community Building¶

Current Status¶

• GitHub project hosting
• Basic documentation and examples
• Issue tracking and discussion

Development Goals¶

• Active developer community
• Regular community events and sharing
• Contributor incentive mechanisms
• Multi-language documentation support

Ecosystem¶

Plugin Marketplace¶

• Official plugin library
• Third-party plugin certification
• Plugin development tools and documentation

Integration Ecosystem¶

• Integration with mainstream frameworks (Spring, Django, Express)
• Listing on cloud platform marketplaces
• Container image repositories

Commercial Considerations¶

Open Source Version¶

• Core features permanently free
• Community support
• Basic documentation and tutorials

Enterprise Version¶

• Advanced features and performance optimization
• Professional technical support
• Custom development services

Participation Methods¶

Development Contributions¶

Code Contributions¶

• Feature development and bug fixes
• Performance optimization and refactoring
• Test case writing
• Code reviews

Documentation Contributions¶

• User documentation improvement
• API documentation updates
• Tutorial and example writing
• Multi-language translation

Community Participation¶

Feedback and Suggestions¶

• Feature request suggestions
• User experience feedback
• Bug reports and reproduction
• Performance testing and benchmarking

Promotion and Outreach¶

• Technical articles and blogs
• Conference presentations and sharing
• Social media promotion
• User case sharing

Collaboration Opportunities¶

Technical Collaboration¶

• Joint development of new features
• Technical standard setting
• Open-source project integration

Business Collaboration¶

• Enterprise-level feature customization
• Technical support services
• Training and consulting services

Risks and Challenges¶

Technical Risks¶

• Performance Bottlenecks: Performance challenges in large-scale deployments
• Compatibility: Maintaining multi-version API compatibility
• Security: Security vulnerabilities and attack protection

Market Risks¶

• Increased Competition: Competition from similar products
• Technology Changes: Challenges from rapid AI technology development
• User Requirements: Rapid changes in user needs

Response Strategies¶

• Continuous technical innovation and optimization
• Active community building and maintenance
• Flexible product strategy adjustments
• Comprehensive quality assurance system

Summary¶

The JAiRouter project will continue to embrace the open-source spirit, striving to provide users with the best AI model service routing solutions. We welcome community participation and contributions to jointly promote the project's development and progress.

Near-term Focus (2025)¶

1. Improve security and authentication systems
2. Enhance system intelligence
3. Strengthen cloud-native support
4. Build an active open-source community

Long-term Vision (2026+)¶

1. Become the standard in AI model routing
2. Establish a complete ecosystem
3. Achieve enterprise-level commercial success
4. Drive industry technological development

Let's work together to make JAiRouter a world-class open-source project!

Last Updated: January 15, 2025
Next Update: April 15, 2025

For any suggestions or ideas, feel free to discuss with us via GitHub Discussions.