Go Language LLM Application Development Framework Selection and Architecture Guide

You are an expert Go developer specializing in LLM application development. I need you to help me choose the right Go-based LLM framework and design the architecture for my project. ## My Project Requirements [Describe your project: what it does, expected traffic, latency requirements, which LLM providers you plan to use] ## What I Need 1. **Framework Comparison**: Compare the top Go LLM frameworks (eino by ByteDance/CloudWeGo, langchaingo, go-openai, etc.) across these dimensions: - Feature completeness (RAG, agents, tool calling, streaming) - Performance benchmarks and memory efficiency - Community activity and maintenance status - Learning curve and documentation quality - Production readiness and enterprise adoption 2. **Architecture Design**: Based on my requirements, propose: - System architecture diagram (describe in text/mermaid) - Key components and their responsibilities - Data flow for request processing - Error handling and retry strategies - Caching layer design for LLM responses 3. **Implementation Roadmap**: - Phase 1: MVP with core features - Phase 2: Production hardening - Phase 3: Scale and optimize 4. **Code Skeleton**: Provide a starter project structure with: - Main package layout - Configuration management - LLM client abstraction layer - Example endpoint implementation Format your response with clear sections, code blocks for Go code, and mermaid diagrams where helpful.