# langhub

**Repository Path**: rust_cn/langhub

## Basic Information

- **Project Name**: langhub
- **Description**: 一个基于Rust开发的LLM应用开发框架.
- **Primary Language**: Rust
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-04-05
- **Last Updated**: 2026-04-05

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<h1 align="center">
    langhub
</h1>
<h4 align="center">
An LLM application development framework based on Rust.
</h4>
<p align="center">
  <a href="https://github.com/0xhappyboy/langhub/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-Apache2.0-d1d1f6.svg?style=flat&labelColor=1C2C2E&color=BEC5C9&logo=googledocs&label=license&logoColor=BEC5C9" alt="License"></a>
    <a href="https://crates.io/crates/langhub">
<img src="https://img.shields.io/badge/crates-langhub-20B2AA.svg?style=flat&labelColor=0F1F2D&color=FFD700&logo=rust&logoColor=FFD700">
</a>
</p>
<p align="center">
<a href="./README_zh-CN.md">简体中文</a> | <a href="./README.md">English</a>
</p>

# Install

```bash
cargo add langhub
```

```
[dependencies]
langhub = "0.1.1"
```

# Basic Usage

## Generate a welcome message with OpenAI

```rust
use langhub_macros::chat;

#[chat(msg = "Write a welcome message for a developer tool", type = "openai")]
fn generate_welcome() -> Result<String, Box<dyn std::error::Error>> {
println!("Generated: {}", llm_response);
Ok(llm_response)
}

```

## Reply to user using DeepSeek

```rust
use langhub_macros::chat;

#[chat(msg = format!("Reply to the user in a friendly tone: {}", user_input), type = "deepseek")]
fn reply_to_user(user_input: String) -> Result<String, Box<dyn std::error::Error>> {
    println!("AI reply: {}", llm_response);
    Ok(llm_response)
}
```

## Analyze sentiment with Anthropic

```rust
use langhub_macros::chat;

#[chat(msg = format!("Analyze the sentiment (positive/negative/neutral) of this text:\n{}", text), type = "anthropic")]
fn analyze_sentiment(text: String) -> Result<String, Box<dyn std::error::Error>> {
    match llm_response {
        Ok(sentiment) => {
            println!("Sentiment analysis result: {}", sentiment);
            Ok(sentiment)
        }
        Err(e) => {
            eprintln!("Analysis failed: {}", e);
            Err(e.into())
        }
    }
}
```