Introduction to the Metaso-Free-API Project
The Metaso-Free-API project is an innovative solution designed to facilitate integration with AI services, particularly with the comprehensive capabilities of Mitata AI's high-speed streaming outputs and advanced internet search features. This project offers a seamless interface that supports zero-configuration deployment and accommodates multiple token usage. Additionally, it boasts complete compatibility with ChatGPT APIs, making it a versatile choice for developers.
Key Features
- Streamlined Output Support: Metaso-Free-API ensures fast streaming output, providing users with real-time responses.
- Intelligent Internet Search: The API supports robust internet search across the entire web or academia with three unique modes: concise, detailed, and research-grade.
- Effortless Deployment: This API solution requires minimal setup, enabling users to deploy it without extensive configuration.
- Multiple Token Integration: The platform supports the use of multiple tokens, enhancing flexibility and user management.
Compatible Free APIs
In addition to the core Metaso-Free-API, there are eight other free APIs that offer a range of interfaces to various AI services:
- Moonshot AI (Kimi.ai): Interface-to-API conversion for kimi-free-api.
- StepChat (Jieyue Xingchen): Interface conversion for step-free-api.
- Zhifu AI: Access through glm-free-api.
- Alibaba Tongyi (Qwen): API interface via qwen-free-api.
- iFlytek Spark: Accessible through spark-free-api.
- MiniMax (Hailuo AI): Converted API access at hailuo-free-api.
- DeepSeek Intelligence: Available via deepseek-free-api.
- Lingxin Intelligence (Emohaa): Interface through emohaa-free-api.
Important Considerations
- Disclaimer: It is advised to use the official Mitata AI services to avoid potential restrictions or bans, as reverse-engineered APIs can be unstable. The project is developed purely for research and educational purposes, with no acceptance of monetary donations or business usage.
Deployment Options
The Metaso-Free-API facilitates various deployment methods, ensuring users can choose the most suitable option based on their technical requirements and infrastructure:
- Docker Deployment: Simple instructions to deploy on a server with a public IP and port 8000 open using Docker.
- Docker-compose Deployment: Ready-to-use YAML configuration for deploying with Docker-compose.
- Render Deployment: Instructions for deploying on Render, acknowledging region compatibility and potential delays with free accounts.
- Vercel Deployment: Steps for deployment on Vercel with reminders of time-out constraints in response times.
- Native Deployment: Guidelines for deploying directly on a server with Node.js environment setup.
API Integration
- Chat Completion: A compatible interface with OpenAI’s chat completion API, providing intuitive access for various applications.
- Token Validation: An endpoint to verify the validity of tokens, advising to avoid excessive calls within a 10-minute interval.
Optimizations and Recommendations
- Nginx Optimization: Suggested configurations to optimize experience while using Nginx as a reverse proxy.
- Token Usage Reporting: While token usage can't be dynamically monitored, default values are provided.
The Metaso-Free-API project offers an extensive and flexible framework for developers needing high-performance AI integrations. With its broad array of compatible services and ease of deployment, it stands as a significant resource for utilizing AI capabilities effectively.