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yym68686/uni-api

This is a project that unifies the management of LLM APIs. It can call multiple backend services through a unified API interface, convert them to the OpenAI format uniformly, and support load balancing. Currently supported backend services include: OpenAI, Anthropic, DeepBricks, OpenRouter, Gemini, Vertex, etc.

Rust ◇ aws Apache-2.0
★1.3KSTARS
⑂158FORKS
!16ISSUES
🏆#7,448GLOBAL RANK
🔥42DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

uni-api is uni-api is an open-source project written in Rust: This is a project that unifies the management of LLM APIs. It can call multiple backend services through a unified API interface, convert them to the OpenAI format uniformly, and support load balancing. Currently supported backend services include: OpenAI, Anthropic, DeepBricks, OpenRouter, Gemini, Vertex, etc.. It provides a free, self-hosted open-source alternative to OpenAI API & ChatGPT.

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), yym68686/uni-api has accumulated 1,272 GitHub stars and 158 forks. It is written in Rust, licensed under Apache-2.0, and ranks #7,448 globally. It is actively maintained with the latest commit recorded on Nov 10, 2026.”
Repository yym68686/uni-api ↗
Primary Category aws
Language & Stack Rust
Software License Apache-2.0
Community Traction ★ 1.3K stars · ⑂ 158 forks · #7,448 globally
Maintenance ● Active (Last commit: Nov 10, 2026) · 16 open issues
Replaces SaaS Open Source OpenAI API & ChatGPT Alternative (Pay-per-token pricing with zero private data guarantees) →
Target Audience Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 97/100 · Grade A+
✅
Is uni-api actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, uni-api is actively maintained. Continuous telemetry recorded the last code commit on Nov 10, 2026 (3 days ago). Supported by 1,272 stars and 158 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 10, 2026
3 days since last push
Issue Backlog
16 Open Issues
Healthy Issue Cadence
Community Backing
158 Forks
1.3K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for yym68686/uni-api
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Momentum

+8

STARS · LAST 30 DAYS

1

PER DAY

#725

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+8+8+90
Per day111
Forks gained+0+0+10

uni-api gained 8 stars in the last 30 days, about 1 a day, and now has 1.3K. It is about 2 years old and has averaged roughly 636 stars a year. It ranks #725 among Rust repositories and #7,448 across all languages on GitHubRepo.

Trending Record

uni-api has maintained a continuous presence across global trending indexes, peaking at #2305. Below is the 30-day activity profile:

💡 Overview

uni-api is an open-source project written in Rust: This is a project that unifies the management of LLM APIs. It can call multiple backend services through a unified API interface, convert them to the OpenAI format uniformly, and support load balancing. Currently supported backend services include: OpenAI, Anthropic, DeepBricks, OpenRouter, Gemini, Vertex, etc.

Engineered for speed, consistency, and developer ease, it solves common hurdles in aws, azure, claude. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Rust for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ cargo install uni-api

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

uni-api coordinates its core functionality through a modular Rust pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with uni-api.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install uni-api using your package manager: `cargo install uni-api`

2

Initialize your project workspace or configuration file for uni-api.

3

Import uni-api into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `uni-api --help` to verify successful setup.

👍 Strengths

Active community backing with 1,263 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Rust for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Rust and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
Open Source Alternative to OpenAI API & ChatGPT Replaces proprietary subscriptions (Pay-per-token pricing with zero private data guarantees) with self-hosted freedom.
Explore all OpenAI API & ChatGPT alternatives →
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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

yym68686/uni-api is currently ranked #7,448 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#7,448 yym68686/uni-api This Project Rust ★ 1.3K
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Frequently Asked Questions

What does uni-api do? +

This is a project that unifies the management of LLM APIs. It can call multiple backend services through a unified API interface, convert them to the OpenAI format uniformly, and support load balancing. Currently supported backend services include: OpenAI, Anthropic, DeepBricks, OpenRouter, Gemini, Vertex, etc.

Is uni-api actively maintained in 2026? +

Yes, uni-api is actively maintained. The latest code push was recorded on Nov 10, 2026 (3 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,272 stars and 16 open issues.

What language is uni-api written in? +

The primary language is Rust. Topics include: aws, azure, claude, gemini, grok.

How many stars does uni-api have? +

uni-api has 1,272 stars and 158 forks on GitHub.

How does uni-api rank among GitHub repositories? +

With 1,272 stars, yym68686/uni-api is ranked #7,448 globally across all repositories tracked on GitHubRepo and #725 among Rust projects.

What license is uni-api distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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