| AIGC |
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bl1nk-agent-builder เป็นแพลตฟอร์ม AI Agent ระดับ production ที่รองรับ:
- 🔄 RAG (Retrieval-Augmented Generation)
- 🤖 Multi-agent Coordination
- 🔧 MCP (Model Context Protocol) Integration
- 📊 Compliance & Monitoring
- 🏗️ Edge-Worker-Core Architecture
- Repository Structure - โครงสร้างไฟล์ครบถ้วน
- FastAPI Backend - API endpoints พื้นฐาน
- Cloudflare Worker - Edge proxy layer
- Database Schema - PostgreSQL + pgvector
- OpenAPI Schema - Single source of truth
- Configuration - Environment variables และ provider routing
- CI/CD Pipeline - GitHub Actions workflow
- Database Layer
- Connection management (
connection.py,redis.py) - Migration scripts (001, 002)
- Health checks
- Connection management (
- Middleware Stack
- CORS configuration (
cors.py) - Authentication (
auth.py) - Request tracing (
tracing.py)
- CORS configuration (
- API Routes
- Health checks (
health.py,metrics.py) - Webhook handlers (
webhook_*.py) - Task management (
tasks.py) - Skills & MCP (
skills.py,mcp.py) - Admin endpoints (
admin.py)
- Health checks (
- Services Layer
- Task Orchestrator (
task_orchestrator.py) - LLM Client (
llm_client.py) - Embedding Client (
embed_client.py) - Vector Store (
vector_store.py) - Billing Service (
billing.py) - OAuth & GitHub App integration
- Task Orchestrator (
- Utilities
- Idempotency handling (
idempotency.py) - Request tracing (
tracing.py) - Retry logic (
retry.py) - SSE streaming (
sse.py) - Alerting system (
alerting.py)
- Idempotency handling (
- Project Summary - ภาพรวมโครงการครบถ้วน
- Setup Scripts - Bootstrap และ verification
- Configuration Examples - Environment templates
- Dockerfile Creation
- Multi-stage build for FastAPI
- Cloudflare Worker container
- Database migration container
- docker-compose.yml
- Development environment
- Production stack
- Service dependencies
- Container Orchestration
- Health check integration
- Volume management
- Network configuration
- Provider Integration
- OpenRouter API client
- Cloudflare Gateway integration
- AWS Bedrock client
- Database Implementation
- PostgreSQL connection pooling
- pgvector queries
- Migration automation
- Redis Integration
- Queue management
- Rate limiting
- Caching layer
- Unit Tests
- Service layer tests
- API endpoint tests
- Utility function tests
- Integration Tests
- Database integration
- Provider API tests
- Webhook flow tests
- Load Testing
- Task processing load test
- Concurrent user simulation
- Resource utilization tests
- RAG Implementation
- Document ingestion pipeline
- Chunking and embedding generation
- Vector similarity search
- Context retrieval
- Multi-Agent Coordination
- Agent communication protocols
- Task delegation logic
- Result aggregation
- MCP Integration
- Tool discovery and registration
- Secure tool execution
- Result formatting
- Smart Routing
- Cost optimization algorithms
- Failover mechanisms
- Performance monitoring
- Usage Tracking
- Token counting
- Cost calculation
- Budget alerts
- Data Encryption
- At-rest encryption
- In-transit encryption
- Key management
- Access Control
- Role-based permissions
- API key management
- Session handling
- Audit Logging
- Complete audit trail
- Compliance reporting
- Data retention policies
- GDPR Compliance
- Data subject rights
- Consent management
- Data portability
- SOC2 Controls
- Security controls mapping
- Evidence collection
- Audit preparation
- Metrics Collection
- Prometheus metrics
- Custom business metrics
- Performance monitoring
- Logging Infrastructure
- Structured logging
- Log aggregation
- Error tracking (Sentry)
- Alerting System
- Threshold-based alerts
- Incident response automation
- Escalation procedures
- User Analytics
- Usage patterns
- Performance metrics
- Cost analysis
- System Health
- Real-time monitoring
- Capacity planning
- Resource utilization
- Deployment Pipeline
- Automated deployments
- Blue-green deployments
- Rollback procedures
- Scalability
- Horizontal scaling
- Load balancing
- Auto-scaling policies
- Disaster Recovery
- Backup procedures
- Recovery testing
- Business continuity
- Performance Testing
- Load testing
- Stress testing
- Endurance testing
- Security Audit
- Penetration testing
- Vulnerability assessment
- Code review
- Go-Live Preparation
- Production checklist
- Launch procedures
- Support documentation
| Phase | Duration | Key Deliverables | Success Criteria |
|---|---|---|---|
| Phase 1 | Week 0 | ✅ Foundation Complete | All core files created, basic structure working |
| Phase 2 | Week 1 | 🚧 Docker & Integration | Containerized environment, service connections |
| Phase 3 | Week 2-3 | 📋 Core Features | RAG, multi-agent, MCP working |
| Phase 4 | Week 4 | 🛡️ Security & Compliance | Security controls, audit logging |
| Phase 5 | Week 5 | 📊 Monitoring | Full observability stack |
| Phase 6 | Week 6-7 | 🚀 Production Ready | Load tested, security audited |
- Performance: < 2s response time for 95% of requests
- Reliability: 99.9% uptime target
- Scalability: Handle 1000+ concurrent tasks
- Security: Zero critical vulnerabilities
- Cost Efficiency: < $0.10 per task average
- User Satisfaction: > 4.5/5 rating
- Adoption Rate: 80% of features actively used
- Support Load: < 5% of users requiring support
- Python: Type hints required, async/await preferred
- Testing: 80% coverage minimum, integration tests mandatory
- Documentation: Docstrings for all public APIs
- Security: Security review required for all changes
- Microservices: Each service independently deployable
- Event-Driven: Asynchronous communication preferred
- Idempotency: All operations must be idempotent
- Observability: Every operation must be observable
- Blue-Green: Zero-downtime deployments
- Canary: Gradual rollout with monitoring
- Rollback: Automatic rollback on failure detection
- Monitoring: Real-time deployment monitoring
- Tech Lead: Architecture decisions, code review
- Backend Developer: API development, services implementation
- DevOps Engineer: Infrastructure, deployment, monitoring
- QA Engineer: Testing strategy, quality assurance
- Security Engineer: Security implementation, audit
- Code implemented and reviewed
- Unit tests written and passing
- Integration tests implemented
- Documentation updated
- Security review completed
- Performance benchmarks met
- Deployment tested
- All Phase 1-6 features implemented
- Load testing completed successfully
- Security audit passed
- Monitoring and alerting configured
- Backup and recovery tested
- Documentation complete
- Support team trained
- Incident response procedures ready
- System handles expected load without degradation
- All security controls verified and documented
- Monitoring provides full visibility into system health
- Team can respond to incidents within SLA targets
- Users can successfully complete core workflows
📞 Contact: สำหรับคำถามหรือการอัพเดท roadmap นี้ กรุณาติดต่อทีมพัฒนาหรือสร้าง issue ใน repository
🔄 Last Updated: 2025-12-11 📅 Next Review: 2025-12-18