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LLM Council - Multi-Agent AI

LLM Council - Multi-Agent AI

RUN Technology Consulting Services LLC

|
9 installs
| (0) | Free
Multi-agent AI analysis using parallel LLM execution
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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More Info

LLM Council - VS Code Extension

Multi-agent AI analysis system that brings collaborative intelligence to your VS Code editor.

📦 Installation

Step 1: Download the Extension

Download llmcouncil-vscode-0.1.0.vsix from your distribution source (email, cloud storage, or GitHub releases).

Step 2: Install in VS Code

Option A: Command Line

code --install-extension llmcouncil-vscode-0.1.0.vsix

Option B: VS Code UI

  1. Open VS Code
  2. Click Extensions icon (or press Ctrl+Shift+X)
  3. Click "..." menu → "Install from VSIX..."
  4. Select llmcouncil-vscode-0.1.0.vsix
  5. Click "Install" and reload VS Code

Step 3: Verify Installation

  1. Press Ctrl+Shift+P (Windows/Linux) or Cmd+Shift+P (Mac)
  2. Type "LLMCouncil"
  3. You should see: "LLMCouncil: Analyze Selection" and "LLMCouncil: Open Council Panel"

✅ Installation complete!


🚀 Quick Start

[!TIP] Need a Visual Guide? Check out the Detailed User Guide for step-by-step technical illustrations and UI breakdowns.

Method 1: Analyze Selected Text (Recommended)

  1. Select any text in your editor (code, error message, user feedback, etc.)
  2. Right-click → Select "LLMCouncil: Analyze Selection"
    OR
    Press Ctrl+Shift+L (Windows/Linux) / Cmd+Shift+L (Mac)
  3. Wait for the council panel to open
  4. View real-time analysis from 3 AI agents
  5. Read the final consensus from the Chairperson

Method 2: Open Panel First

  1. Press Ctrl+Shift+P (or Cmd+Shift+P on Mac)
  2. Type "LLMCouncil: Open Council Panel"
  3. Enter your query in the panel

💡 Usage Examples

Example 1: Debug an Error

// Select this error message and press Ctrl+Shift+L
TypeError: Cannot read property 'map' of undefined
  at Component.render (App.js:42)

Council provides:

  • Vision Agent: UI impact analysis
  • Technical Librarian: Fix suggestions with documentation
  • Empathy Analyst: User frustration assessment
  • Chairperson: Prioritized solution

Example 2: Code Review

# Select your code and get multi-perspective review
def process_data(items):
    return [x*2 for x in items]

Example 3: User Feedback Analysis

Select user complaint text:
"The login button is greyed out and I can't access my account!"

Get instant multi-agent analysis with solutions.


🤖 How It Works

Council Members:

  • 👁️ Vision Agent - Analyzes UI/UX, visual issues, user interface problems
  • 📚 Technical Librarian - Searches documentation, provides code solutions
  • ❤️ Empathy Analyst - Assesses user sentiment, urgency, frustration levels
  • 🎯 Chairperson - Synthesizes all perspectives into actionable verdict

Process:

  1. All 3 agents analyze your query in parallel (faster results!)
  2. Each agent provides specialized insights
  3. Chairperson combines perspectives
  4. You get comprehensive, multi-angle analysis in seconds

⚙️ Requirements

Required

  • VS Code version 1.85.0 or higher
  • GitHub Copilot extension (for automatic authentication)

Optional

  • Manual API key configuration (if not using Copilot)

🎨 Features

  • ✅ Parallel Execution - All agents run simultaneously for speed
  • ✅ Live Progress Tracking - See each agent's status in real-time
  • ✅ Export to Markdown - Save analysis reports for documentation
  • ✅ Cancellation Support - Stop analysis anytime
  • ✅ Error Resilient - Continues even if one agent fails
  • ✅ Clean UI - Modern, responsive webview panel

📋 Keyboard Shortcuts

Action Windows/Linux Mac
Analyze Selection Ctrl+Shift+L Cmd+Shift+L
Command Palette Ctrl+Shift+P Cmd+Shift+P

⚙️ Extension Settings

This extension contributes the following settings:

  • llmcouncil.preferredModel: Preferred language model

    • Options: auto, gpt-4, claude, gemini
    • Default: auto (uses GitHub Copilot)
  • llmcouncil.enableParallelExecution: Run agents in parallel

    • Default: true (recommended for speed)

To configure:

  1. File → Preferences → Settings (or Ctrl+,)
  2. Search for "LLMCouncil"
  3. Adjust settings as needed

🔧 Troubleshooting

"No language models available"

Solution:

  1. Install GitHub Copilot extension
  2. Sign in to GitHub Copilot
  3. Verify Copilot is active (check status bar)

Extension not showing in menu

Solution:

  1. Reload VS Code (Developer: Reload Window)
  2. Check if extension is enabled in Extensions panel
  3. Reinstall from VSIX if needed

Panel doesn't open

Solution:

  1. Check VS Code output panel for errors
  2. Ensure text is selected before invoking
  3. Try "LLMCouncil: Open Council Panel" from command palette

📖 Additional Resources

  • Quick Start Guide: See QUICKSTART.md for detailed walkthrough
  • Publishing Info: See PUBLISHING.md for distribution options
  • License: MIT (see LICENSE.txt)

👨‍💻 For Developers

Build from Source

git clone https://github.com/veeresh-bikkaneti/LLMcouncil.git
cd llmcouncil-vscode
npm install
npm run compile

Press F5 to launch Extension Development Host

Run Tests

npm test

📝 License

MIT License - Copyright (c) 2024 RUN Technology Consulting Services LLC


🆘 Support

For issues or questions:

  • Check troubleshooting section above
  • Review QUICKSTART.md for detailed instructions
  • Contact your administrator

Version: 0.1.0
Publisher: RUNTechnologyConsultingServicesLLC

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