Use your RunPod inference endpoint
Create the model endpoint in RunPod, then connect its OpenAI-compatible base URL and a RunPod API key to your app on Wodby.
Integration
Connect Wodby apps to a RunPod Serverless endpoint that exposes an OpenAI-compatible API, such as a vLLM worker. Wodby supplies its base URL and API key as OPENAI_BASE_URL and OPENAI_API_KEY to connected services.
Create the model endpoint in RunPod, then connect its OpenAI-compatible base URL and a RunPod API key to your app on Wodby.
Apps that read OPENAI_BASE_URL and OPENAI_API_KEY can use the endpoint configuration supplied by the integration.
Supported workflows
Each supported integration kind maps RunPod into a specific part of the delivery workflow, whether that means pulling source code, running pipelines, relaying email, connecting managed services, or injecting provider configuration into workloads.
Variables
Connect apps to an existing RunPod Serverless OpenAI-compatible endpoint using its base URL and API key.
Configuration surfaced to workloads
Related features
This provider usually sits next to stack-based delivery, backup workflows, managed databases, or integration-backed configuration. These pages cover the product surfaces most relevant to RunPod.
Stack fit
Wodby does not treat integrations as isolated setup screens. They become part of stack delivery, so the strongest matches are the stacks where this provider solves a repeated operational problem.
Stack
Python application stack for custom web apps, APIs, workers, and automation services.
Connect Python inference clients to your RunPod endpoint through runtime API settings.
View stackStack
Next.js application stack for frontend and full-stack projects that need a reusable deployment setup.
Next.js apps can receive provider configuration through the services that need it instead of scattering values across the repository.
View stackStack
Node.js application stack for APIs, workers, and custom services with a repeatable runtime setup.
Node.js services can receive provider settings as runtime variables instead of repo-local env files.
View stackStack
Laravel application stack for teams that want a reusable setup for web, worker, and queue-based PHP projects.
Laravel is a strong fit when provider credentials and configuration should stay centralized at the stack layer.
View stackUse the catalog to compare other providers with the same integration kind, or read the broader feature pages to understand how integrations fit into Wodby stacks, CI/CD, backups, and managed services.