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This PR addresses the request to understand the differences between the refactor/plugin and feature/codex branches by providing a detailed technical analysis.

What was added

A comprehensive comparison document (BRANCH_COMPARISON.md) that analyzes the key differences between the two branches:

refactor/plugin Branch

• Scope: Minimal refactoring (1 commit)
• Changes: Removes old RequestContentLoggingMiddleware
• Focus: Code cleanup and maintenance

feature/codex Branch

• Scope: Major feature development (70+ commits)
• Changes: Complete OpenAI Codex integration with architectural improvements
• Focus: Production-ready OpenAI compatibility

Key Technical Differences

Major Additions in feature/codex:

• Complete OpenAI Codex API implementation (1,251 lines in ccproxy/api/routes/codex.py)
• /codex/chat/completions endpoint for OpenAI compatibility
• Advanced request transformation pipeline (CodexRequestTransformer)
• OAuth authentication system for OpenAI integration
• Enhanced Claude SDK with connection pooling and session management
• Comprehensive testing infrastructure (378 lines of Codex-specific tests)

Removals in feature/codex:

• Complete plugin system removal (/plugins endpoints, CLI commands, hooks)
• Legacy middleware components replaced with optimized alternatives

Architecture Impact

The analysis reveals that feature/codex represents a significant architectural evolution:

• Performance: Claude SDK connection pooling, optimized streaming
• Authentication: OAuth2 flow, token management, session handling
• API Compatibility: Full OpenAI format support with backend transformation
• Code Quality: Enhanced error handling patterns, improved type safety

Recommendation

The comparison clearly shows feature/codex as the recommended choice for:

• Production deployments
• Users requiring OpenAI Codex compatibility
• Better performance and reliability
• Active development and comprehensive feature set

The refactor/plugin branch should only be considered for legacy plugin system requirements.

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[CaddyGlow]

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