Green R Raw

Green R Raw sits inside GreenPT's lineup as a dedicated reasoning model, branded to combine advanced reasoning with customizable system prompt behavior so developers can shape tone and policy at inference time rather than relying on fixed defaults. The model is delivered through an OpenAI-compatible chat completions endpoint, which makes it straightforward to drop into existing pipelines that already speak that protocol while keeping traffic routed through EU infrastructure for data-residency compliance. Its feature set emphasizes agentic and structured use cases, exposing reasoning, tool use, JSON Mode for machine-readable responses, and streaming for incremental output, which together suit workflows like multi-step assistants, retrieval-augmented agents, and automated extraction tasks where reliable tool invocation matters as much as raw language quality.

In practical terms, Green R Raw is positioned for teams that want a controllable reasoning model without giving up the ergonomics of a hosted API, particularly those operating under European data-handling requirements. The endpoint advertises a 128K token context window, giving enough room for long documents, multi-turn dialogues, and tool traces that accumulate over a session, while streaming support keeps latency-feel responsive on longer generations. Because access is mediated through an EU-routed reseller rather than a direct public API, customers get a single OpenAI-compatible integration point backed by regional hosting, trading some direct-vendor flexibility for stronger geographic and compliance guarantees.