Set up coding agents in one command with AI Gateway
Vercel’s setup command can route nine coding-agent clients through one gateway for shared models, budgets, policy, and traces. Review the in-place config edits before adopting it.
The command **vercel ai-gateway coding-agents setup** detects local agents, creates a key, and writes gateway credentials into each client’s config while preserving formatting. It supports **nine coding agents** and access to **200+ models** with fallback routing.
Use it when several agent clients need shared spend limits, provider restrictions, Zero Data Retention policy, and request traces. Setup does not pin a model, so choose model slugs per agent and set budgets, reset periods, or key expiry explicitly.
The command **vercel ai-gateway coding-agents setup** detects local agents, creates a key, and writes gateway credentials into each client’s config while preserving formatting. It supports **nine coding agents** and access to **200+ models** with fallback routing. Use it when several agent clients need shared spend limits, provider restrictions, Zero Data Retention policy, and request traces. Setup does not pin a model, so choose model slugs per agent and set budgets, reset periods, or key expiry explicitly. This centralizes billing and control but also places model traffic behind one gateway. The material does not quantify added latency or fallback behavior, and automatic in-place configuration changes still warrant a diff, credential review, and rollback plan.
This lowers the setup cost of applying one gateway policy across heterogeneous coding agents, making previously separate routing, budget, retention, and trace controls easier to adopt consistently. It does not choose models or complete the operating policy: teams still need explicit limits, observability, fallback handling, and review of the credential-bearing configuration changes.