Misanthropy

Misanthropy is set of Rust bindings for Anthropic API, providing easy access to Claude and other Anthropic models. It consists of two main components:

1. misanthropy: A Rust client library for the Anthropic API

2. misan: A command-line interface (CLI) tool for quick interactions with the API

Features

• Simple, idiomatic Rust interface for the Anthropic API

• Support for text and image content in messages

• Support for streaming real-time responses

• Configurable client with defaults for model and token limits

• CLI tool for quick interactions with the API from the command line

Usage

Library

Here's a basic example of using the misanthropy library:

use misanthropy::{Anthropic, MessagesRequest, Content};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = Anthropic::from_env()?;
    
    let mut request = MessagesRequest::default();
    request.add_user(Content::text("Hello, Claude!"));

    let response = client.messages(request).await?;
    println!("{}", response.format_nicely());

    Ok(())
}

For more examples, please check the examples directory in the misanthropy crate. These examples demonstrate various features and use cases of the library.

CLI

The misan CLI tool provides a command-line interface for interacting with the Anthropic API. For usage instructions, run:

misan --help

Configuration

• ANTHROPIC_API_KEY: Set this environment variable with your Anthropic API key.
• Default model and max tokens can be set when creating the Anthropic client or overridden per request.

Advanced Features

Streaming Responses

The library supports streaming responses for real-time interactions:

let mut stream = client.messages_stream(request)?;

while let Some(event) = stream.next().await {
    match event {
        Ok(event) => {
            // Handle the streaming event
        }
        Err(e) => eprintln!("Error: {}", e),
    }
}

Advanced Features

Using Tools

The library supports defining and using tools in conversations. Tools are defined using the schemars crate to generate JSON schemas for the tool inputs.

1. First, add schemars to your dependencies:

[dependencies]
schemars = "0.8"

2. Define your tool input structure and derive JsonSchema:

use schemars::JsonSchema;
use serde::{Deserialize, Serialize};

/// Get the current weather for a location.
#[derive(JsonSchema, Serialize, Deserialize)]
struct GetWeather {
    /// The city and country, e.g., "London, UK"
    location: String,
    /// Temperature unit: "celsius" or "fahrenheit"
    unit: Option<String>,
}

3. Create a Tool from your input structure:

use misanthropy::{Anthropic, MessagesRequest, Tool};

let weather_tool = Tool::new::<GetWeather>();

4. Add the tool to your request:

let request = MessagesRequest::default()
    .with_tool(weather_tool)
    .with_system(vec![Content::text("You can use the GetWeather tool to check the weather.")]);

5. When the AI uses the tool, you can deserialize the input:

if let Some(tool_use) = response.content.iter().find_map(|content| {
    if let Content::ToolUse(tool_use) = content {
        Some(tool_use)
    } else {
        None
    }
}) {
    if tool_use.name == "GetWeather" {
        let weather_input: GetWeather = serde_json::from_value(tool_use.input.clone())?;
        println!("Weather requested for: {}", weather_input.location);
        // Here you would typically call an actual weather API
    }
}

This approach allows you to define strongly-typed tool inputs that the AI can use, while also providing a way to handle the tool usage in your code.

License

This project is licensed under the MIT License - see the LICENSE file for details.