Gemini CLI Orchestrator MCP

# Gemini 2.5 Flash Optimization Update ## Enhancement Summary Enhanced all metaprompting guidance to recommend **Gemini 2.5 Flash** as the default model for most analysis tasks, addressing availability and cost concerns while maintaining excellent analysis capabilities. ## Key Changes Made ### 1. **Model Flag Integration** All bash command examples now include `-m gemini-2.5-flash`: ```bash # Before cat src/auth/**/* | gemini -p "analyze authentication" # After cat src/auth/**/* | gemini -m gemini-2.5-flash -p "analyze authentication" ``` ### 2. **Model Selection Guidance** Added clear recommendations throughout the system: - **Gemini 2.5 Flash**: Recommended for most analysis tasks (faster, more available, cost-effective) - **Gemini 2.5 Pro**: Use only for complex reasoning requiring maximum capability ### 3. **Updated Tool Sections** #### **Context Window Optimization** - Prominent Flash recommendation at the beginning - All file aggregation examples use Flash model - Context window capabilities clarified for both models #### **ReAct Loop Guidance** - All iterative reasoning examples use Flash model - Maintains sophisticated analysis capabilities with better availability #### **Sequential Analysis Workflow** - All 5 stage implementations specify Flash model commands - Complete bash command examples with proper model flags #### **Intelligence Amplification Synthesis** - All synthesis strategy examples use Flash model - Multi-perspective analysis frameworks optimized for Flash ## Benefits of Flash Model ### **Availability** - Significantly better quota limits vs Pro model - Reduced rate limiting issues - More consistent access for development workflows ### **Performance** - Faster response times for iterative analysis - Better suited for ReAct loop patterns - Maintains 1M+ token context window ### **Cost Effectiveness** - Lower cost per request - More sustainable for extensive analysis workflows - Better for learning and experimentation ## Maintained Capabilities ### **Analysis Quality** - Security analysis remains comprehensive - Architecture review capabilities preserved - Debugging and root cause analysis effective - Pattern recognition across large contexts ### **Context Utilization** - Full 1M+ token context window available - Complete subsystem aggregation strategies - Strategic file grouping for maximum insight ### **Intelligence Amplification** - All advanced synthesis techniques compatible - Multi-perspective analysis frameworks effective - Cognitive bias detection capabilities maintained ## Usage Examples ### **Complete Subsystem Analysis** ```bash cat src/auth/**/* middleware/auth* config/auth* tests/auth* | gemini -m gemini-2.5-flash -p "Perform comprehensive security analysis of the complete authentication subsystem" ``` ### **Sequential Analysis Stage** ```bash cat README.md package.json CHANGELOG.md | gemini -m gemini-2.5-flash -p "Based on this project documentation, help me understand the system's primary purpose and scope" ``` ### **ReAct Loop Iteration** ```bash cat targeted_files.js | gemini -m gemini-2.5-flash -p " Reasoning: Testing hypothesis about data validation patterns Focus: Input validation security Analysis Question: What validation gaps exist in these components? " ``` ### **Multi-Perspective Synthesis** ```bash cat analysis_context.md | gemini -m gemini-2.5-flash -p "Analyze from multiple perspectives: technical architecture, security posture, business impact, operational readiness, and future evolution" ``` ## Upgrade Path Guidance ### **When to Use Pro Model** For specialized cases requiring maximum reasoning capability: - Extremely complex architectural decisions - Multi-layered security threat modeling - Advanced algorithmic analysis - Complex system integration planning ### **Flash Model Advantages** For the vast majority of analysis workflows: - Standard security assessments - Architecture reviews and patterns - Code quality evaluation - Debugging and troubleshooting - Documentation and explanation - Refactoring recommendations ## Implementation Impact ### **Pure Metaprompting Maintained** - No execution logic changes - All guidance remains text-based - Agent still executes commands independently - Universal portability preserved ### **Enhanced User Experience** - Reduced quota exhaustion issues - Faster iteration cycles - More reliable analysis workflows - Better learning experience ### **Research Alignment** - Maintains alignment with Gemini CLI patterns - Preserves Sequential Thinking MCP compatibility - Optimizes for practical usage patterns - Balances capability with accessibility ## Result The enhanced metaprompting system now provides intelligent model selection guidance that: - **Maximizes availability** through Flash model defaults - **Maintains analysis quality** through sophisticated prompting strategies - **Preserves capabilities** while improving practical usability - **Teaches best practices** for sustainable Gemini collaboration Agents learn to use Gemini more effectively while avoiding common pitfalls like quota exhaustion and unnecessary costs.