About WeaveAPI

A practical routing layer for teams building with multiple AI models.

WeaveAPI exists for developers who want the speed of provider choice without turning every model experiment into a new integration project.

What we do

One gateway between your product and the model market.

Instead of wiring Qwen, Kimi, GLM, MiniMax, DeepSeek, and backup providers separately, teams connect once to WeaveAPI and route by model name.

One API key, one balance, one OpenAI-compatible request format.

Keep default, premium, and backup model paths behind a stable customer-facing API.

Centralize keys, quotas, logs, model availability, and rollout decisions.

Privacy Prompt content is not used to train WeaveAPI models.

Requests are routed to upstream providers for completion. We keep metering and abuse-prevention logs so the service can operate safely.

Security Keys and provider credentials stay inside the gateway.

End users call WeaveAPI keys, while upstream keys remain managed on the server side with operator-only access.

Status Availability should be visible, not guessed.

The public status page checks the live API status endpoint and exposes operational details that matter during evaluation.