Announcement
One-API: Unified LLM API Management & Key Redistribution System
A unified LLM API management and key redistribution system that supports multiple mainstream large language models, providing a single API endpoint for simplified access and management. It comes as a single executable and is Docker-ready for easy, one-click deployment.
Project Introduction
Summary
This project is an LLM API management and distribution system designed to unify access to various large language models through a single API interface. It supports a wide range of providers and includes features for key management and redistribution, packaged for easy deployment.
Problem Solved
Managing access to multiple LLM providers with different APIs and keys is complex and inefficient. This project solves this by providing a single, unified gateway that simplifies integration, manages keys centrally, and facilitates redistribution.
Core Features
Unified API Endpoint
Consolidates APIs from OpenAI, Azure, Anthropic, Google, DeepSeek, Doubao, ChatGLM, Wenxin Qianfan, Xunfei Xinghuo, Tongyi Qianwen, 360 Zhinao, Tencent Hunyuan, and more under a single, consistent API interface.
Centralized Key Management
Provides robust key management capabilities, including usage tracking and rate limits.
API Key Redistribution
Allows for secondary distribution or resale of API access.
Easy Deployment (Single Binary & Docker)
Simplified deployment via a single executable file and official Docker image.
Intuitive User Interface
Offers a user-friendly interface for configuration and monitoring.
Tech Stack
Use Cases
The system is applicable in various scenarios where simplified and centralized management of diverse LLM APIs is required.
Scenario 1: Centralized API Access for Organizations
Details
A company requires access to multiple LLM providers (e.g., OpenAI for general tasks, Claude for creative writing, DeepSeek for coding). Instead of integrating with each API separately, they use ONE-API as a single gateway.
User Value
Simplifies development and maintenance, ensures consistent access control and usage monitoring across all models.
Scenario 2: Simplifying Developer Integrations
Details
A developer building an application wants to easily switch between different LLM backends or use the best model for a specific task without changing application code.
User Value
Reduces integration complexity, allows for easy experimentation and dynamic switching between models.
Scenario 3: Managing and Redistributing API Keys
Details
A team or platform wants to manage and share a pool of LLM API keys among multiple users or projects, potentially tracking individual usage.
User Value
Provides a mechanism for secure key sharing, usage tracking, and potential cost allocation or redistribution models.
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