llmrust 0.1.2

Unified Rust interface for 7 LLM providers (OpenAI, Anthropic, DeepSeek, Google Gemini, Ollama, Moonshot, OpenRouter) with HTTP proxy
Documentation 
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//! Multimodal (text + image) chat example.
//!
//! Demonstrates sending an image alongside text using the OpenAI-compatible
//! vision API. Run with:
//!
//! ```bash
//! OPENAI_API_KEY=sk-... cargo run --example multimodal
//! ```

use llmrust::{ChatRequest, LmrsClient, Message};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let api_key = std::env::var("OPENAI_API_KEY")
        .expect("set the OPENAI_API_KEY environment variable to run this example");

    let llm = LmrsClient::new();
    llm.set_openai(api_key).await;

    // A publicly reachable image URL. Providers that support vision will fetch
    // and analyze it; data URLs ("data:image/png;base64,...") work too.
    let image_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gull_portrait_ca_usa.jpg/640px-Gull_portrait_ca_usa.jpg";

    let messages = vec![Message::user_with_image(
        "What is in this image? Answer in one sentence.",
        image_url,
    )];

    let req = ChatRequest::from_messages("", messages).with_max_tokens(300);

    let resp = llm.chat_with("openai/gpt-4o", req).await?;
    println!("{}", resp.content);

    Ok(())
}