Now that you’ve successfully installed Profound AI, let’s talk about configuring your models. Profound AI offers incredible flexibility, allowing you to work with a variety of large language models to suit your specific needs. 

• Locate Your Configuration File  
  • First, find your config.js file. This is where you’ll add or modify the “models” property to configure your preferred language models. This file will be in the directory where you installed Profound AI.
• Choose Your Models  Profound AI supports a wide range of models, including:
  • OpenAI models (like GPT-4 and GPT-3.5 Turbo) 
  • Google’s Gemini Pro 
  • Azure OpenAI models 
  • Anthropic’s Claude 
  • Mistral AI models 
  • Custom or open-source models
• Set Up Model Properties For each model, you’ll need to specify certain properties. Here’s a basic example:
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models: { 
  "GPT-4": { 
    provider: "openai", 
    model: "gpt-4", 
    apiKey: "your-api-key-here", 
    stream: true 
  } 
} 

• • Key properties include: 
    • provider: Specifies the model provider (e.g., “openai”, “google”, “anthropic”) 
    • model: Identifies the specific model to use 
    • apiKey: Your authentication key for the API 
    • stream: Set to true if you want the model to stream its output 
• •  
• Use Environment Variables for API Keys  
  • Create a file called “.env” and then put the API keys inside that file in the format shown. 
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OPENAI_API_KEY=sk-your-key-here 

• • Then, in your config.js, reference the environment variable:
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apiKey: process.env.OPENAI_API_KEY 

• Customize Additional Parameters  
  • You can fine-tune your model’s behavior using the additionalParams property. This allows you to adjust settings like temperature, max tokens, and more:
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additionalParams: {
  temperature: 0.7,
  max_tokens: 100,
  top_p: 1.0
} 

• Save and Restart  
  • After making changes to your config.js file, save it and restart your Profound AI instance for the changes to take effect.

By properly configuring your models, you can tailor Profound AI to perfectly suit your business needs, whether you’re focusing on customer service, data analysis, or any other AI-driven application.