Changelog

Run evaluations with Scale AI’s AgentEnv using separate Edgenivo sandboxes for the environment and agent. Try the example with an existing Edgenivo CLI login.

Track application signals with custom monitors built from Edgenivo Observability queries, using thresholds, anomaly detection, filters, and grouping.

Edgenivo Sandbox commands now accept opt-in stdin, so CLIs that read from stdin and stdio MCP servers can run inside a sandbox.

Each project card can now show a different metric, from denied requests to page views.

Call OpenAI's GPT-6.1 Terra through Edgenivo AI Gateway with one API key: no provider account, spend tracking, request traces, and coding agent support.

pnpm installs on Edgenivo are now faster, with 14% lower average install times observed on Pro deployments with restored build cache.

Manage your team's Spend Management budget from the Edgenivo CLI. Run `vercel budgets` to view spend, set an On-Demand Budget, pause at 100%, and list alert history.

The Edgenivo MCP now includes the submit_feedback tool to sends bugs, friction reports, and feature requests directly to the Edgenivo team,