4 releases (2 breaking)
0.3.1 | Sep 15, 2024 |
---|---|
0.3.0 | Sep 5, 2024 |
0.2.0 | Sep 4, 2024 |
0.1.0 | Sep 4, 2024 |
#249 in Machine learning
166 downloads per month
44KB
801 lines
llm-stream
This library provides a streamlined approach to interacting with Large Language Model (LLM) streaming APIs from different providers.
Supported Providers
- OpenAI: Access the powerful GPT models through OpenAI's API.
- Anthropic: Utilize Anthropic's Claude models for various language tasks.
- Google: Integrate Google's Gemini family of models.
- Mistral: Leverage Mistral's language models for advanced capabilities.
- GitHub Copilot: Access code-generation capabilities powered by GitHub Copilot.
Key Features
- Unified Interface: Interact with different LLM providers using a consistent API.
- Streaming Responses: Receive model output as a stream of text, enabling real-time interactions and dynamic UI updates.
- Simplified Authentication: Easily authenticate with API keys for supported providers.
- Customization Options: Configure model parameters, such as temperature and top_p, to fine-tune output generation.
Installation
Add the following dependency to your Cargo.toml
file:
[dependencies]
llm-stream = "0.1.3"
Usage
Here's a basic example demonstrating how to use the library to generate text with OpenAI's GPT-4 model:
use anyhow::Result;
use futures::stream::TryStreamExt;
use llm_stream::openai::{Auth, Client, Message, MessageBody, Role};
use std::io::Write;
#[tokio::main]
async fn main() -> Result<()> {
env_logger::init();
let key = std::env::var("OPENAI_API_KEY")?;
let auth = Auth::new(key);
let client = Client::new(auth, "https://api.openai.com/v1");
let messages = vec![Message {
role: Role::User,
content: "What is the capital of the United States?".to_string(),
}];
let body = MessageBody::new("gpt-4o", messages);
let mut stream = client.delta(&body)?;
while let Ok(Some(text)) = stream.try_next().await {
print!("{text}");
std::io::stdout().flush()?;
}
Ok(())
}
For more in-depth examples and usage instructions, refer to the examples directory: ./lib/llm_stream/examples.
🔐 Authentication
Each provider requires an API key, typically set as an environment variable:
- OpenAI:
OPENAI_API_KEY
- Google:
GOOGLE_API_KEY
- Anthropic:
ANTHROPIC_API_KEY
- Mistral:
MISTRAL_API_KEY
Dependencies
~9–19MB
~242K SLoC