Open-Fiesta – an open-source AI chat platform that can run and compare multiple models simultaneously

What is Open-Fiesta？

Open-Fiesta is an open-source multi-model AI chat platform built on Next.js 14. It supports multiple AI providers (such as Gemini, OpenRouter, etc.) and various models, allowing users to run and compare up to five models simultaneously. Open-Fiesta also offers web search, image attachments (Gemini only), and a clean user interface with smooth interaction. By configuring environment variables (e.g., API keys), users can easily deploy and use the platform. It is designed for developers and AI enthusiasts to explore and experiment with different AI models.

Key Features of Open-Fiesta

• Multi-model support: Supports multiple AI providers (e.g., Gemini, OpenRouter) and allows comparison of up to five models at once.

• Web search: Each message can optionally enable web search to enhance accuracy and enrich responses.

• Image attachment support: Supports image uploads (Gemini only) so users can receive image-related answers.

• Minimalist user interface: Provides a clean, smooth interaction experience, with keyboard submission and streaming API support.

• Model comparison: Run multiple models simultaneously to compare their outputs side by side.

Technical Principles of Open-Fiesta

• Frontend stack: Built on Next.js 14 using App Router and TypeScript for efficient development and high performance. Tailwind CSS is used to quickly build a simple, responsive UI.

• Backend stack: Uses Next.js API routes to communicate with different AI providers. Model directories and client utilities are managed in the lib/ folder, making it easy for users to select and switch models.

• Data processing: Standardizes responses from different providers—for example, removing reasoning tags from DeepSeek R1 outputs or converting Markdown to plain text—to improve readability. API keys are managed via environment variables for security and flexibility.

Project Links for Open-Fiesta

• GitHub Repository: https://github.com/NiladriHazra/Open-Fiesta

Application Scenarios of Open-Fiesta

• Personal learning & research: Students and researchers can compare outputs from different AI models to better understand their characteristics and support study or research.

• Development & testing: Developers can test and optimize AI models, iterate quickly, and enterprises can use it for integration testing to ensure real-world performance.

• Education: Teachers can use it as a teaching tool, demonstrating model outputs to help students understand AI.

• Content creation: Writers and creators can generate creative text, get writing suggestions, and expand ideas, boosting productivity.

• Enterprise use: Companies can build intelligent customer service systems, compare models to select the best responses, or use it for data analysis and report generation to improve efficiency.