Add images, audio, and model thinkingYou declare images, files, audio, and other media in the program contract. Provider support determines which media and thinking controls are available.rustacademyacademy/topics/media-audio-thinkingwebsite/content-src/academy/course.mjsacademyAdd images, audio, and model thinking
You declare images, files, audio, and other media in the program contract. Provider support determines which media and thinking controls are available.
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Worked example
See the idea in context
// Realtime audio over WebSocket — cargo add axllm --features realtime
let client = ai("openai-responses", json!({"model": "gpt-realtime-2"}))?;
let request = json!({"model": "gpt-realtime-2", "chat_prompt": [{"role": "user", "content": "Say hello."}], "audio": {"output": {"voice": "alloy"}}});
let response = client.realtime_chat(request, None)?; // one merged turn: transcript + base64 PCM audio
// Realtime models also route transparently through chat(); chat() accepts input_audio parts; transcribe()/speak() do batch STT/TTS.
Run itIn your own project
cargo add axllm
use axllm::{ai, ax};
use serde_json::json;
let llm = ai("openai", json!({"apiKey": std::env::var("OPENAI_API_KEY")?}))?;
let classify = ax("review:string -> sentiment:class \"positive, negative, neutral\"")?;
Set OPENAI_APIKEY in your environment before running provider-backed code.
In the ax repo
From a clone of the ax repo:
npm run example -- rust src/examples/rust/long-agents/smart_defaults_agent.rs