In this tutorial, we will build a robust conversational AI by integrating OpenAI, Anthropic, and Mistral APIs, showcasing their unique strengths in generating and managing conversations.
Prerequisites
- Node.js v18 or later
- API keys for OpenAI, Anthropic, and Mistral
- Intermediate understanding of JavaScript and API integration
What We’re Building
In this project, we will create a conversational AI application that leverages the latest advancements in AI models from OpenAI, Anthropic, and Mistral. Our application will be able to handle complex dialogues by dynamically selecting the best model for each user query based on predefined criteria such as context length, cost, and response type.
The final product will be a web-based chat interface where users can interact with our AI, which intelligently routes queries to the most suitable AI model. This setup not only demonstrates the capabilities of each API but also provides a flexible architecture that can be extended or modified to include additional models or features.
Setup and Installation
To get started, we need to set up our development environment. We’ll use Node.js for our server-side logic and a simple HTML/CSS/JavaScript frontend to interact with our backend.
npm init -y
npm install express dotenv openai anthropic mistralNext, we need to configure our environment variables...
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