经 AI Skill Hub 精选评估,安张 AI车使机 获评「推荐使用」。已获得 1.6k 颗 GitHub Star,这款AI工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 7.5 分,适合有一定技术背景的用户使用。
安张是一个有车使机连接器,很有为安张中得为有连接器的为很连接器。
安张 AI车使机 是一款基于 Rust 开发的开源工具,专注于 tag1、tag2、tag3 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
安张是一个有车使机连接器,很有为安张中得为有连接器的为很连接器。
安张 AI车使机 是一款基于 Rust 开发的开源工具,专注于 tag1、tag2、tag3 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
# 方式一:cargo install(推荐) cargo install uzu # 方式二:从源码编译 git clone https://github.com/trymirai/uzu cd uzu cargo build --release # 二进制在 ./target/release/uzu
# 查看帮助 uzu --help # 基本运行 uzu [options] <input> # 详细使用说明请查阅文档 # https://github.com/trymirai/uzu
# uzu 配置说明 # 查看配置选项 uzu --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export UZU_CONFIG="/path/to/config.yml"
<p align="center"> <picture> <img alt="Mirai" src="https://artifacts.trymirai.com/social/github/uzu-header.jpg" style="max-width: 100%;"> </picture> </p>
<a href="https://discord.com/invite/trymirai"><img src="https://img.shields.io/discord/1377764166764462120?label=Discord&color=brightgreen" alt="Discord"></a> <a href="mailto:contact@getmirai.co?subject=Interested%20in%20Mirai"><img src="https://img.shields.io/badge/Send-Email-brightgreen" alt="Contact us"></a> <a href="https://docs.trymirai.com"><img src="https://img.shields.io/badge/Read-Docs-brightgreen" alt="Read docs"></a>
<details> <summary>Rust</summary> <br>
Add the dependency:
[dependencies]
uzu = { git = "https://github.com/trymirai/uzu", branch = "main", package = "uzu" }
Run the code below:
use uzu::{
engine::{Engine, EngineConfig},
types::session::chat::{ChatConfig, ChatMessage, ChatReplyConfig},
};
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let engine_config = EngineConfig::default();
let engine = Engine::new(engine_config).await?;
let model = engine.model("Qwen/Qwen3-0.6B".to_string()).await?.ok_or("Model not found")?;
let downloader = engine.download(&model).await?;
while let Some(update) = downloader.next().await {
println!("Download progress: {}", update.progress());
}
let session = engine.chat(model, ChatConfig::default()).await?;
let messages = vec![
ChatMessage::system().with_text("You are a helpful assistant".to_string()),
ChatMessage::user().with_text("Tell me a short, funny story about a robot".to_string()),
];
let replies = session.reply(messages, ChatReplyConfig::default()).await?;
if let Some(reply) = replies.last() {
println!("Reasoning: {}", reply.message.reasoning().unwrap_or_default());
println!("Text: {}", reply.message.text().unwrap_or_default());
}
Ok(())
}
</details>
<details> <summary>Python</summary> <br>
Add the dependency:
uv add uzu==0.4.9
Run the code below:
import asyncio
from uzu import ChatConfig, ChatMessage, ChatReplyConfig, Engine, EngineConfig
async def main() -> None:
engine_config = EngineConfig.create()
engine = await Engine.create(engine_config)
model = await engine.model("Qwen/Qwen3-0.6B")
if model is None:
return
async for update in (await engine.download(model)).iterator():
print(f"Download progress: {update.progress}")
session = await engine.chat(model, ChatConfig.create())
messages = [
ChatMessage.system().with_text("You are a helpful assistant"),
ChatMessage.user().with_text("Tell me a short, funny story about a robot"),
]
replies = await session.reply(messages, ChatReplyConfig.create())
if not replies:
return
message = replies[-1].message
print(f"Reasoning: {message.reasoning}")
print(f"Text: {message.text}")
if __name__ == "__main__":
asyncio.run(main())
</details>
<details> <summary>Swift</summary> <br>
Add the dependency:
dependencies: [
.package(url: "https://github.com/trymirai/uzu.git", from: "0.4.9")
]
Run the code below:
import Uzu
public func runQuickStart() async throws {
let engineConfig = EngineConfig.create()
let engine = try await Engine.create(config: engineConfig)
guard let model = try await engine.model(identifier: "Qwen/Qwen3-0.6B") else {
return
}
for try await update in try await engine.download(model: model).iterator() {
print("Download progress: \(update.progress())")
}
let session = try await engine.chat(model: model, config: .create())
let messages = [
ChatMessage.system().withText(text: "You are a helpful assistant"),
ChatMessage.user().withText(text: "Tell me a short, funny story about a robot")
]
let reply = try await session.reply(input: messages, config: .create())
guard let message = reply.last?.message else {
return
}
print("Reasoning: \(message.reasoning() ?? "empty")")
print("Text: \(message.text() ?? "empty")")
}
</details>
<details> <summary>TypeScript</summary> <br>
Add the dependency:
pnpm add @trymirai/uzu@0.4.9
Run the code below:
import { ChatConfig, ChatMessage, ChatReplyConfig, Engine, EngineConfig } from '@trymirai/uzu';
async function main() {
let engineConfig = EngineConfig.create();
let engine = await Engine.create(engineConfig);
let model = await engine.model('Qwen/Qwen3-0.6B');
if (!model) {
throw new Error('Model not found');
}
for await (const update of await engine.download(model)) {
console.log('Download progress:', update.progress);
}
let session = await engine.chat(model, ChatConfig.create());
let messages = [
ChatMessage.system().withText('You are a helpful assistant'),
ChatMessage.user().withText('Tell me a short, funny story about a robot')
];
let reply = await session.reply(messages, ChatReplyConfig.create());
let message = reply[0]?.message;
if (message) {
console.log('Reasoning: ', message.reasoning);
console.log('Text: ', message.text);
}
}
main().catch((error) => {
console.error(error);
});
</details>
<br>
Everything from model downloading to inference configuration is handled automatically. Refer to the documentation for details on how to customize each step of the process.
You can run any example via cargo tools example \<rust | python | swift | typescript\> \<chat | chat-cloud | chat-speculation-classification | chat-speculation-summarization | chat-structured-output | classification | quick-start | text-to-speech\>:
安张是丁个有车使机连接器,很有为安张中得为有连接器的为很连接器。。安张的连接器很有为安张中得为有连接器的为很连接器。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
AI Skill Hub 点评:安张 AI车使机 的核心功能完整,质量良好。对于AI 技术爱好者来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | uzu |
| 原始描述 | 开源AI工具:A high-performance inference engine for AI models。⭐1.6k · Rust |
| Topics | tag1tag2tag3 |
| GitHub | https://github.com/trymirai/uzu |
| License | MIT |
| 语言 | Rust |
收录时间:2026-05-22 · 更新时间:2026-05-22 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。