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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
!15ISSUES
🏆#2,358GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Star History

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

Momentum

+32

STARS · LAST 30 DAYS

1

PER DAY

#238

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+7+32+90
Per day111
Forks gained+1+3+10

uni-api gained 32 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 632 stars a year. It ranks #238 among Rust repositories and #2,358 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

💡
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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 #2,358 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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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.

What language is uni-api written in? +

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

Is uni-api actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 15 open issues being tracked.

How many stars does uni-api have? +

uni-api has 1,263 stars and 158 forks on GitHub.

How does uni-api rank among GitHub repositories? +

With 1,263 stars, yym68686/uni-api is ranked #2,358 globally across all repositories tracked on GitHubRepo and #238 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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