VLM Run
Use VLM Run with AI apps and agents through Vercel Connect. Follow a complete setup guide for secure runtime access.
Install the skill
$ npx skills add vercel/vercel-plugin --skill vercel-connectConnect to
Use its data in agents(opens in new tab) and apps(opens in new tab)
import { getToken } from '@vercel/connect';const token = await getToken('vlm-run/acme-vlm-run');
Use VLM Run in apps and agents
Run multimodal AI agents, extract structured data, and evaluate predictions.
Read the VLM Run developer docs(opens in new tab)Why use Vercel Connect with VLM Run?
Credentials on demand
Request VLM Run credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped VLM Run access behind a reusable connector controlled by your team.
Centralized credential management
Manage VLM Run credentials in one place and retrieve them through a consistent runtime API.
Vercel-native controls
Bind connections to the projects and environments that need them while Vercel OIDC authenticates each runtime request.
Use VLM Run with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add VLM Run to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the VLM Run connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create vlm-run --name acme-vlm-runvercel env pullRequest VLM Run credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('vlm-run/acme-vlm-run');
