Zro
Private, high-performance inference for coding agents using open-weight models across multi-region infrastructure.
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Product Overview
What is Zro?
Zro is a private inference platform built for AI coding agents and developer workflows. It provides fast access to open-weight coding models through OpenAI-compatible and Anthropic-compatible APIs, without retaining prompt or completion content. Developers can connect Zro to popular coding tools through its CLI launcher or manual provider configuration, while benefiting from infrastructure optimized for long-context, multi-turn agent sessions.
Key Features
Private Model Inference
Processes coding requests without retaining prompt text, completion text, or request bodies after a response is returned.
Open-Weight Coding Models
Offers a single endpoint for models such as GLM-5.2, DeepSeek V4 Flash 0731, and Kimi K3.
Compatible API Access
Supports OpenAI-compatible chat completions and Anthropic-compatible Messages requests for easier integration.
Coding Agent Integrations
Connects with tools including Claude Code, Codex, OpenCode, Cline, Cursor, Pi, Hermes, and OpenClaw.
Long-Context Performance
Uses compression, custom attention kernels, and hardware-aware deployment to improve efficiency for multi-turn coding sessions.
Regional Deployment Control
Lets API key settings restrict model inference to Europe, the United States, or either supported region.
Use Cases
- Private AI Coding : Developers can use coding agents for sensitive repositories without having prompts or generated outputs stored by Zro.
- Agent Tool Integration : Teams can connect existing agent tools to Zro through its CLI launcher or compatible API endpoints.
- Long-Horizon Development Tasks : Engineers can run multi-step coding workflows that require large context windows and sustained conversation history.
- Production Agent Backends : Application teams can use Zro as an inference layer for developer products, code assistants, and internal automation.
- Region-Constrained Inference : Organizations with regional infrastructure requirements can control where permitted model inference runs.
FAQs
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