CLIProxyAPI Refactoring & Enhancement Plans
This directory contains comprehensive implementation plans for upgrading and refactoring the CLIProxyAPI codebase.
Plans Overview
1. Code Quality & Linting
Focus: Establish comprehensive linting and code quality standards
- golangci-lint configuration with 20+ linters
- Python (Ruff) and TypeScript (ESLint) linting setup
- Pre-commit hooks
- CI/CD integration
Timeline: Week 1 Effort: 16 hours
2. Error Handling Standardization
Focus: Standardize error handling across the application
- Domain-specific error types
- Centralized error middleware
- Structured error responses
- Request ID tracking
Timeline: Week 1-2 Effort: 24 hours
3. Configuration Management Refactoring
Focus: Split monolithic config into Clean Architecture layers
- Domain models extraction
- Provider pattern for storage backends
- Migration framework
- Hot reload support
Timeline: Week 1-3 Effort: 40 hours
4. Testing Infrastructure
Focus: Improve test coverage from 13% to 70%+
- Table-driven tests
- Mock generation with mockery
- Test containers for integration tests
- Contract tests for translators
Timeline: Week 2-4 Effort: 48 hours
5. Clean Architecture Migration
Focus: Refactor to Clean Architecture (Onion/Hexagonal)
- Domain layer with entities and services
- Application layer with use cases
- Infrastructure layer with repositories
- Thin HTTP handlers
Timeline: Week 1-7 Effort: 80 hours
6. Performance & Observability
Focus: Add caching, tracing, metrics
- Structured logging with slog
- OpenTelemetry/Jaeger tracing
- Prometheus metrics
- Redis caching layer
- Circuit breakers
Timeline: Week 3-4 Effort: 40 hours
7. Security Hardening
Focus: Security improvements and hardening
- Input validation middleware
- Rate limiting (token bucket)
- Secrets management (Vault integration)
- Security headers (CSP, HSTS)
- Audit logging
- SAST/DAST in CI
Timeline: Week 1-3 Effort: 48 hours
8. CI/CD & DevOps
Focus: Automated deployment and infrastructure
- GitHub Actions workflows
- Multi-arch Docker builds
- GoReleaser configuration
- Terraform for AWS
- Kubernetes manifests
- Monitoring stack
Timeline: Week 1-4 Effort: 48 hours
Implementation Roadmap
Phase 1: Foundation (Weeks 1-2)
| Task | Plan | Priority |
|---|---|---|
| Setup golangci-lint | Code Quality | High |
| Error handling standardization | Error Handling | High |
| Input validation middleware | Security | High |
| Structured logging | Performance | Medium |
Phase 2: Core Improvements (Weeks 3-4)
| Task | Plan | Priority |
|---|---|---|
| Config refactoring start | Config | High |
| Testing infrastructure | Testing | High |
| Rate limiting | Security | Medium |
| Metrics collection | Performance | Medium |
Phase 3: Architecture (Weeks 5-7)
| Task | Plan | Priority |
|---|---|---|
| Domain layer extraction | Clean Arch | High |
| Use case implementation | Clean Arch | High |
| Repository pattern | Clean Arch | High |
| Handler refactoring | Clean Arch | Medium |
Phase 4: Scale (Weeks 8-10)
| Task | Plan | Priority |
|---|---|---|
| Caching layer | Performance | Medium |
| Circuit breakers | Performance | Medium |
| Tracing | Performance | Low |
| CI/CD pipelines | CI/CD | High |
Phase 5: Production (Weeks 11-12)
| Task | Plan | Priority |
|---|---|---|
| Terraform infrastructure | CI/CD | Medium |
| Kubernetes deployment | CI/CD | Medium |
| Monitoring setup | CI/CD | Medium |
| Security scanning | Security | High |
Effort Summary
| Category | Hours | Percentage |
|---|---|---|
| Code Quality | 16 | 6% |
| Error Handling | 24 | 9% |
| Configuration | 40 | 15% |
| Testing | 48 | 18% |
| Clean Architecture | 80 | 30% |
| Performance | 40 | 15% |
| Security | 48 | 18% |
| CI/CD | 48 | 18% |
| Total | 344 | 100% |
Note: Hours are estimates and may overlap in some areas
Quick Wins (Week 1)
- Enable golangci-lint - Immediate code quality improvement
- Add security headers - One middleware addition
- Structured logging - Replace logrus with slog
- Request ID middleware - Track requests end-to-end
- Rate limiting - Protect against abuse
Key Decisions Needed
- Storage Backend: Continue with PostgreSQL or add Redis?
- Secrets Management: HashiCorp Vault, cloud provider, or env vars?
- Tracing: Jaeger, Zipkin, or cloud provider (AWS X-Ray)?
- Deployment: Kubernetes, ECS, or stay with Docker Compose?
- Caching: Redis or in-memory only?
Risk Assessment
| Risk | Impact | Mitigation |
|---|---|---|
| Breaking changes during refactor | High | Feature flags, gradual rollout |
| Test coverage gaps | Medium | Focus on critical paths first |
| Performance regression | Medium | Benchmark before/after |
| Deployment complexity | Medium | Staging environment testing |
| Team learning curve | Low | Code reviews, documentation |
Success Criteria
- 70%+ test coverage
- Zero lint errors
- <100ms p99 latency
- 99.9% uptime
- Automated deployments
- Full observability
- Zero security vulnerabilities (high/critical)
Contributing to Plans
When implementing these plans:
- Create feature branches from
develop - Reference plan file in commit messages
- Update plan status as you progress
- Add lessons learned to plan files
- Mark completed items with dates
Contact
For questions about these plans, refer to the main project documentation or create an issue.