one-api open source analysis
LLM API 管理 & 分发系统，支持 OpenAI、Azure、Anthropic Claude、Google Gemini、DeepSeek、字节豆包、ChatGLM、文心一言、讯飞星火、通义千问、360 智脑、腾讯混元等主流模型，统一 API 适配，可用于 key 管理与二次分发。单可执行文件，提供 Docker 镜像，一键部署，开箱即用。LLM API management & key redistribution system, unifying multiple providers under a single API. Single binary, Docker-ready, with an English UI.
Project overview
⭐ 28857 · JavaScript · Last activity on GitHub: 2025-11-20
Why it matters for engineering teams
One-API addresses the challenge of managing multiple large language model APIs through a single, unified interface, simplifying key management and API distribution for engineering teams. It is particularly suited for backend engineers and DevOps professionals who require a production ready solution to handle various AI providers like OpenAI, Azure, and Anthropic Claude without building custom integrations. The project’s maturity is evident in its single binary deployment and Docker support, making it reliable for production environments. However, it may not be the right choice for teams seeking a lightweight client library or those who do not need multi-provider API management, as the added complexity might outweigh the benefits in simpler use cases.
When to use this project
One-API is a strong choice when your team needs a self hosted option for managing multiple LLM APIs under one roof, especially in environments requiring strict control over API keys and usage. Teams with simpler or single-provider needs should consider lighter alternatives or direct API integration.
Team fit and typical use cases
Backend engineers and platform teams benefit most from this open source tool for engineering teams, using it to streamline AI API access and key management across products. It is commonly found in applications requiring integration with multiple AI providers, such as conversational platforms, AI-powered analytics, and custom chatbot solutions.
Topics and ecosystem
Activity and freshness
Latest commit on GitHub: 2025-11-20. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.