Tutorial: Building Your First LLM Council from Scratch
A step-by-step guide to creating your first multi-model AI council, from model selection to consensus configuration.
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Getting Started with LLM Councils
Building your first LLM council is easier than you think. This tutorial walks you through creating a functional multi-model AI system in under 30 minutes.
Prerequisites
- SPRAPP account (free tier works)
- API keys for at least 2 providers
- Basic understanding of LLM capabilities
Step 1: Choose Your Models
For your first council, we recommend starting with 3 models:
The Reasoner: Claude 3.5 Sonnet
- Excellent at nuanced analysis
- Great for synthesis
- Strong safety alignment
The Generalist: GPT-4o
- Broad knowledge coverage
- Fast and reliable
- Good all-around performance
The Specialist: Pick based on your needs
- Grok 2 for real-time info
- Gemini 1.5 Pro for long context
- GLM-5 for coding tasks
Step 2: Configure API Access
In SPRAPP settings:
- Navigate to API Keys
- Add your provider keys (BYOK)
- Test each connection
- Enable usage tracking
Step 3: Create Your Council
- Go to Council Configuration
- Name your council (e.g., "My First Council")
- Select your 3 models
- Choose consensus mode: "Majority Vote"
Step 4: Test Your Council
Try these test queries:
- "What is 15% of 847?" (math check)
- "Summarize the latest AI developments" (current events)
- "Write a Python function to sort a list" (coding)
Step 5: Analyze Results
Watch for:
- Agreement: Do models concur?
- Confidence: How certain are they?
- Speed: How long did it take?
Next Steps
- Add more models for diversity
- Try different consensus modes
- Experiment with specialized councils
Your first LLM council is now ready for real queries!