# Multi-Agent Research System Configuration
# This file defines the agent roles, expertise, and research focus

agents:
  # Researcher Agent - Identifies industry leaders
  researcher:
    name: "Industry Research Specialist"
    role: "Researcher Agent"
    emoji: "🏆"
    phase: "industry_leaders"
    expertise:
      - "Market leadership identification"
      - "Competitive landscape analysis"
      - "Company positioning and metrics"
      - "Product/service evaluation"
    web_search: true
    description: "Identifies top 5 industry leaders, their market position, strengths, and metrics"
    
  # Analyzer Agent - Researches best practices
  analyzer:
    name: "Best Practices Analyst"
    role: "Analyzer Agent"
    emoji: "⭐"
    phase: "best_practices"
    expertise:
      - "Industry standards and frameworks"
      - "Success patterns and case studies"
      - "Innovation trends (2024-2025)"
      - "Implementation guidelines"
      - "Lessons learned from leaders"
    web_search: true
    description: "Researches proven strategies, innovations, and best practices in the industry"
    
  # Critic Agent - Quality review
  critic:
    name: "Quality Assurance Reviewer"
    role: "Critic Agent"
    emoji: "🔍"
    phase: "quality_review"
    expertise:
      - "Fact-checking and validation"
      - "Source credibility assessment"
      - "Completeness evaluation"
      - "Gap identification"
      - "Improvement recommendations"
    web_search: false
    description: "Performs independent quality review of research completeness and credibility"
    
  # Synthesizer Agent - Generates recommendations
  synthesizer:
    name: "Strategic Recommendation Synthesizer"
    role: "Synthesizer Agent"
    emoji: "💡"
    phase: "recommendations"
    expertise:
      - "Strategic synthesis"
      - "Actionable roadmap creation"
      - "Risk assessment and mitigation"
      - "Resource planning"
      - "Success metrics definition"
    web_search: false
    description: "Synthesizes all research into strategic recommendations and action plans"

# Research Configuration
research_config:
  # Number of top leaders to identify
  top_leaders_count: 5
  
  # Include direct competitors analysis
  include_competitors: true
  
  # Include best practices research
  include_best_practices: true
  
  # Require citations in research
  citations_required: true
  
  # Data recency requirement
  data_recency: "2024-2025"
  
  # Web search configuration
  web_search:
    enabled: true
    max_searches_per_agent: 5
    search_depth: "comprehensive"
  
  # Quality review configuration
  quality_review:
    enabled: true
    check_completeness: true
    check_credibility: true
    check_recency: true
    check_clarity: true
  
  # Recommendations configuration
  recommendations:
    include_immediate_actions: true
    include_short_term_strategy: true
    include_long_term_vision: true
    include_risk_mitigation: true
    include_resource_requirements: true

# Model Configuration
models:
  default_models:
    query_understanding: "qwen-2.5-7b"
    industry_leaders: "qwen-2.5-72b"
    best_practices: "qwen-2.5-72b"
    quality_review: "qwen-2.5-72b"
    recommendations: "qwen-2.5-72b"
  
  # Available models
  available:
    qwen-2.5-7b:
      name: "Qwen/Qwen2.5-7B-Instruct"
      provider: "huggingface"
      description: "Fast & Efficient - Quick analysis"
      speed: "⚡⚡⚡"
      quality: "⭐⭐⭐"
      cost: "💰"
    
    qwen-2.5-72b:
      name: "Qwen/Qwen2.5-72B-Instruct"
      provider: "huggingface"
      description: "Most Capable Qwen - Deep analysis"
      speed: "⚡⚡"
      quality: "⭐⭐⭐⭐"
      cost: "💰💰"
    
    meta-llama-3.1-70b:
      name: "meta-llama/Llama-3.1-70B-Instruct"
      provider: "huggingface"
      description: "Meta Llama 3.1 - Strong reasoning"
      speed: "⚡⚡"
      quality: "⭐⭐⭐⭐"
      cost: "💰💰"
    
    mistral-large:
      name: "mistralai/Mistral-Large-Instruct-2407"
      provider: "huggingface"
      description: "Mistral Large - Excellent analysis"
      speed: "⚡⚡"
      quality: "⭐⭐⭐⭐"
      cost: "💰💰"

# Output Configuration
output_config:
  # Include hierarchy diagram
  include_hierarchy_diagram: true
  
  # Include execution timeline
  include_timeline: true
  
  # Include performance metrics
  include_metrics: true
  
  # Include model assignment table
  include_model_assignment: true
  
  # Include research metadata
  include_metadata: true
  
  # Output format
  format: "markdown"
  
  # Include live dashboard
  include_dashboard: true

# Performance Configuration
performance:
  # Timeout for agent tasks (seconds)
  agent_timeout: 120
  
  # Maximum retry attempts
  max_retries: 3
  
  # Retry delay (seconds)
  retry_delay: 2
  
  # Model cache enabled
  model_caching: true
  
  # Progress update frequency
  progress_update_interval: 5

# Logging Configuration
logging:
  enabled: true
  level: "INFO"
  log_searches: true
  log_model_usage: true
  log_execution_time: true
  log_errors: true

# Feature Flags
features:
  live_dashboard: true
  real_time_progress: true
  web_search: true
  quality_review: true
  recommendations: true
  model_configuration: true
  error_recovery: true
  result_caching: false
  export_to_pdf: false
  export_to_docx: false