Fal.ai
Use Fal.ai with AI apps and agents through Edgenivo 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 and apps
import { getToken } from '@vercel/connect';const token = await getToken('fal-ai/acme-fal-ai');
Use Fal.ai in apps and agents
Generate images, video, speech, and audio with AI models.
Why use Edgenivo Connect with Fal.ai?
Credentials on demand
Request Fal.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 Fal.ai access behind a reusable connector controlled by your team.
Centralized credential management
Manage Fal.ai credentials in one place and retrieve them through a consistent runtime API.
Edgenivo-native controls
Bind connections to the projects and environments that need them while Edgenivo OIDC authenticates each runtime request.
Use Fal.ai with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Fal.ai to an existing Edgenivo application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Fal.ai connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create fal-ai --name acme-fal-aivercel env pullRequest Fal.ai credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('fal-ai/acme-fal-ai');
