Sueta

SparkAnalyzer

1.0.0

A plugin that can help you to checkout on Spark profiler and give back some advices

·Plugin
  1. 1.0.0latestSparkAnalyzer 1.0.0Jan 25, 2026

    SparkAnalyzer

    A Minecraft plugin that analyzes Spark profiler data using AI to provide actionable performance recommendations.

    Features
    AI-Powered Analysis - Supports multiple AI providers: OpenAI, Anthropic (Claude), Google Gemini, and OpenRouter - Evidence-based diagnostics with severity ratings (Critical, High, Medium, Low) - Structured analysis reports with specific recommendations Easy to Use - Simply run /sparkanalyze <spark-url> with any spark.lucko.me profile link - Upload raw JSON data with /sparkanalyze upload - Re-analyze last profile with /sparkanalyze last Webhook Integration - Send analysis reports to Discord, Slack, or custom webhooks - Automatic retry with exponential backoff - Auto-disable on repeated failures Internationalization - Full i18n support with customizable language files - English (en-US) included by default <details> <summary>Spoil config.yml</summary>
    # SparkAnalyzer Configuration
    # Security-hardened Minecraft Paper plugin for AI-powered Spark analysis
    
    # Language setting - uses standard locale codes
    # Available: en-US (default), vi-VN, ja-JP, etc.
    # If an invalid code is provided, falls back to en-US
    language: en-US
    
    # AI Provider Configuration
    ai:
      # Supported providers: openai, anthropic, gemini, 
      provider: openrouter
      
      # Your API key - NEVER share this publicly
      # This value is loaded securely and never logged
      api-key: enter_key_here
      
      # Model to use for analysis
      # OpenAI: gpt-4.1-mini, gpt-4o, gpt-4-turbo
      # Anthropic: claude-3-opus, claude-3-sonnet
      # Gemini: gemini-pro
      # OpenRouter: Any model from openrouter.ai (e.g., openai/gpt-4o, anthropic/claude-3.5-sonnet, meta-llama/llama-3.1-70b-instruct)
      model: liquid/lfm-2.5-1.2b-thinking:free
      
      # Temperature controls randomness (0.0 = deterministic, 2.0 = creative)
      # For technical analysis, lower values (0.1-0.3) are recommended
      # Valid range: 0.0 to 2.0
      temperature: 0.2
      
      # Maximum tokens in the AI response
      # Higher values allow for more detailed analysis
      # Must be greater than 0
      max-tokens: 32000
    
    # Webhook Configuration (Optional)
    webhook:
      # Set to true to enable webhook notifications
      enabled: false
      
      # Webhook URL - only this URL will receive notifications
      # Example: https://discord.com/api/webhooks/...
      url: ""
      
      # Format: discord, slack, or generic
      format: discord
      
      # Include full analysis report in webhook (may be truncated)
      include-full-report: false
      
      # Maximum retry attempts for failed webhooks
      max-retries: 3
      
      # Auto-disable webhook after this many consecutive failures
      failure-threshold: 5
    
    # Report Settings
    reports:
      # Save detailed reports to plugins/SparkAnalyzer/reports/
      save-to-file: true
      
      # Include timestamps in report filenames
      include-timestamp: true
    
    # Debug Settings (for troubleshooting only)
    debug:
      # Enable verbose logging (does NOT log API keys)
      enabled: false
    
    </details> ![img](https://cdn.modrinth.com/data/cached_images/d4c1bc669e79d…
    Requirements
    - Paper 1.16.5 - 1.21.11 - Java 17+ - Spark profiler installed
    Permissions
    | Permission | Description | |------------|-------------| | sparkanalyzer.analyze | Use analysis commands | | sparkanalyzer.reload | Reload configuration |
    561 downloads

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