Vast.ai
Use Vast.ai 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
Vast.ai$ vercel connect create vast-ai --name acme-vast-aiUse its data in agents(opens in new tab) and apps(opens in new tab)
import { getToken } from '@vercel/connect';const token = await getToken('vast-ai/acme-vast-ai');
Use Vast.ai in apps and agents
Find GPU compute, storage, and launch templates.
Read the Vast.ai developer docs(opens in new tab)Why use Vercel Connect with Vast.ai?
Credentials on demand
Request Vast.ai credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped Vast.ai access behind a reusable connector controlled by your team.
Centralized credential management
Manage Vast.ai 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 Vast.ai with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Vast.ai to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Vast.ai connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create vast-ai --name acme-vast-aivercel env pullRequest Vast.ai credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('vast-ai/acme-vast-ai');