HUBAPI

HUBAPI is an AI gateway for LLM providers that routes requests across multiple models through a single OpenAI-compatible endpoint, one API key, and one dashboard. It positions itself as a reliability control plane for production AI rather than a simple model proxy, letting developers keep their existing LLM SDK workflow while sending requests through a unified gateway. Concrete features include task-aware routing that directs queries to specialized models based on the job (for example bug fixing, code review, or ticket triage); a bring-your-own-key model with budget caps, rate limits, and instant key revocation; request tracing for latency, fallback triggers, token usage, and tool calls; server-side Model Context Protocol orchestration with centralized tool execution and audit logging; and output contracts that enforce structured formats such as JSON, XML, YAML, or CSV. It supports providers including OpenAI, Anthropic, Gemini, and Mistral. HUBAPI is aimed at engineering teams scaling AI applications who need cost visibility, governance, fallback, and caching across providers. It is currently in private beta, and you can join to test smart routing, scoped keys, model comparison, and usage visibility. No pricing is published yet.

Developer teams use HUBAPI to route, govern, and trace LLM requests across multiple providers through a single unified gateway.