Zero-Cost LLM Orchestration – Automatic request batching and model fallback

Multi-Modal First – Clean API for text+image prompts (e.g., GPT-4 Vision)

Streaming Done Right – Tokio-based async with backpressure support

Why Rust? After wrestling with Python's GIL in production, we needed:

Memory safety for long-running inference servers

Easy WASM compilation for edge deployments

Fearless concurrency for parallel model queries