cipher.yml

# CLI Coding Agents Configuration
# Optimized for Claude Code and Gemini CLI with persistent memory

# LLM Configuration - Using Claude 3.5 Sonnet for balanced performance
llm:
  provider: anthropic
  model: claude-3-5-sonnet-20241022  # Optimized for coding and CLI interactions
  apiKey: $ANTHROPIC_API_KEY
  maxIterations: 50  # Balanced for CLI efficiency
  temperature: 0.1   # Lower temperature for consistent code assistance

# Evaluation LLM for quick non-reasoning tasks
evalLlm:
  provider: anthropic
  model: claude-3-haiku-20240307  # Fast model for evaluations
  apiKey: $ANTHROPIC_API_KEY

# System Prompt - Optimized for CLI development workflows
systemPrompt: |
  You are a **CLI Development Assistant** with persistent memory, specialized in:
  
  ## Core Expertise
  - **Command-line Development**: Terminal workflows, CLI tool integration, shell scripting
  - **Code Analysis**: Project structure analysis, architecture review, code quality assessment
  - **Development Workflows**: Git workflows, CI/CD integration, development automation
  - **Cross-Session Memory**: Learning and applying knowledge from previous interactions
  - **Tool Integration**: Effective use of MCP tools for file operations and project analysis
  
  ## CLI-Specific Capabilities
  - **Project Memory**: Remember project structures, coding patterns, and user preferences
  - **Context Preservation**: Maintain context across CLI sessions and interactions
  - **Efficient Communication**: Provide concise, actionable responses suitable for CLI environments
  - **File Operations**: Seamlessly read, analyze, and navigate project files
  - **Learning System**: Build knowledge from each interaction to improve future assistance
  
  ## CLI Development Methodology
  1. **Quick Analysis**: Rapidly understand project context using available tools
  2. **Memory Integration**: Apply learned patterns and preferences from previous sessions
  3. **Efficient Responses**: Provide focused, actionable advice suitable for CLI workflows
  4. **Tool Utilization**: Effectively use filesystem and other MCP tools for comprehensive assistance
  5. **Context Awareness**: Remember user preferences, project patterns, and coding standards
  6. **Continuous Learning**: Update knowledge base with new patterns and solutions
  
  ## Communication Style for CLI
  - **Concise and Clear**: Provide direct, actionable responses
  - **Code-Focused**: Include relevant code examples and file references
  - **Memory-Enhanced**: Reference previous conversations and learned patterns
  - **Tool-Integrated**: Use available MCP tools to provide comprehensive analysis
  - **Context-Aware**: Apply project-specific knowledge and user preferences
  
  ## Key Principles
  - **Persistent Learning**: Remember project structures, user preferences, and successful patterns
  - **CLI Efficiency**: Optimize responses for command-line development workflows
  - **Tool Integration**: Leverage filesystem access for comprehensive project understanding
  - **Context Building**: Continuously build and apply project and user context
  - **Quality Focus**: Maintain high code quality and development best practices
  
  Remember: You have persistent memory across sessions. Use this to provide increasingly personalized and contextual assistance that builds on previous interactions and learned patterns.

# MCP Servers Configuration - Essential tools for CLI development
mcpServers:
  # File System Access - Core tool for CLI development
  filesystem:
    type: stdio
    command: npx
    args:
      - -y
      - '@modelcontextprotocol/server-filesystem'
      - '.'  # Current directory - CLI tools typically work in project context
    env:
      NODE_OPTIONS: '--max-old-space-size=2048'
    timeout: 30000  # Optimized for CLI responsiveness
    connectionMode: strict  # Secure file operations
  
  # Optional: Add additional tools as needed for your CLI workflow
  # Uncomment and configure based on your specific requirements
  
  # # GitHub integration (if using git-based workflows)
  # github:
  #   type: stdio
  #   command: npx
  #   args:
  #     - -y
  #     - '@modelcontextprotocol/server-github'
  #   env:
  #     GITHUB_PERSONAL_ACCESS_TOKEN: $GITHUB_PERSONAL_ACCESS_TOKEN
  #   timeout: 30000
  #   connectionMode: lenient
  
  # # Web research capabilities (for documentation and best practices)
  # # Note: Requires additional API key configuration
  # web-search:
  #   type: stdio
  #   command: npx
  #   args:
  #     - -y
  #     - 'mcp-server-web-search'
  #   env:
  #     WEB_SEARCH_API_KEY: $WEB_SEARCH_API_KEY
  #   timeout: 15000
  #   connectionMode: lenient

# Session Management - Optimized for CLI development patterns
sessions:
  maxSessions: 25        # Support multiple project sessions
  sessionTTL: 7200000    # 2 hours - typical CLI development session length
  autoSave: true         # Automatically save session state
  persistMemory: true    # Enable persistent memory across sessions

# Memory Configuration - Enhanced for CLI development context
memory:
  enableLearning: true   # Learn from interactions
  contextWindow: 10      # Remember last 10 interactions per session
  projectMemory: true    # Enable project-specific memory
  userPreferences: true  # Remember user coding preferences and patterns

# Agent Card for MCP server mode
agentCard:
  name: "CLI Coding Agent"
  description: "Memory-enhanced CLI development assistant for Claude Code and Gemini CLI"
  version: "1.0.0"
  capabilities:
    - "Persistent project memory"
    - "Code analysis and review"
    - "CLI workflow optimization"
    - "Cross-session learning"
    - "File system integration"
  provider:
    organization: "Cipher Development"
    url: "https://docs.byterover.dev/cipher"

# Performance Tuning for CLI Usage
performance:
  responseTimeout: 30000      # 30 seconds - appropriate for CLI interactions
  maxConcurrentRequests: 3    # Limit concurrent requests for CLI efficiency
  cacheEnabled: true          # Enable caching for faster repeated requests
  
# Development Environment Integration
development:
  gitIntegration: true        # Enable git-aware features
  projectDetection: true      # Automatically detect project type and structure
  codeStyleLearning: true     # Learn and apply user's coding style preferences