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DeploymentsOverview

Deployments overview

A deployment takes something you built in the Studio — an agent, a multi-agent system, a copilot, or a vibe-coded app — and makes it live for real users. On the managed cloud that means a public URL under qraptor.app.

The Deployments section of a project is where you manage those live, production deployments: their agents, schedules, API keys, custom domains, monitoring, and settings.

The managed cloud is not the only place a project can run. If it has to run somewhere you control, see Where a project can run at the end of this page.

Preview vs production

There are two ways your work goes live, and they are not the same thing.

PreviewProduction
What it isA temporary environment for testing while you buildA stable, always-on deployment for real users
Where it livesInside the builder (the app, copilot, or agent editor)The Deployments section
LifetimeEphemeral — stops automatically when idleAlways-on until you delete it
URLA temporary preview linkyour-app.qraptor.app or a custom domain
Use it forInternal testing and sharing with your teamEnd-user traffic

Preview is a build-time step, so it is documented with each builder:

Everything else on this page — and in this section — is about production.

💡

Always validate behavior in preview before you deploy to production. A production deployment serves real users and counts against your plan’s rate limits and credits.

What can be deployed

A production deployment is one of four types, depending on what you are shipping:

  • Web App — a full vibe-coded application (frontend + backend).
  • Copilot — an embeddable AI chat widget.
  • Agent API — one or more agents exposed as API endpoints, with no user-facing page.
  • Multi-Agent — a whole multi-agent system behind a single endpoint.

Agents can also be layered on top of a Web App or Copilot deployment. See Deployment types for what each one provisions and when to choose it.

Where deployments are created

You start a deployment from wherever you built the thing you are shipping:

To deploy a…Start fromGuide
Web AppThe vibe workspacePublish to production
CopilotCopilot StudioDeploy a copilot
AI AgentThe agent editor’s Deploy menuDeploy an AI Agent
Task AgentThe agent editor’s Deploy menuDeploy a Task Agent
Agent API / Multi-AgentThe Deploy menu on the Deployments pageProduction deployments

The Deployments page

Open Deployments from the project sidebar to see every production deployment in the project. Each one appears as a card showing its type, status, primary URL, what’s deployed inside it, and how it’s authenticated.

Deployments page listing production deployments as cards with type badge, status, URL, composition, and auth

Deployment status

StatusMeaning
ProvisioningThe deployment is being set up.
ReadyLive and serving traffic.
DegradedLive but reporting errors or health issues — check monitoring.
StoppingBeing torn down.
StoppedNot serving traffic.
FailedProvisioning did not complete.

What you can manage

Open a deployment to reach everything below. The available sections depend on the deployment type.

ℹ️

A deployed agent still runs on qRaptor’s infrastructure. If some of its steps need to reach a private database or an internal API, those individual steps can be routed to a remote executor running inside your own network — the same routing applies to deployed agents as to ones you’re testing in the builder.

Where a project can run

The managed cloud is the default, not the only option. There are three shapes, and they differ in how much runs on your side:

Managed cloudRemote executorExported appliance
Runs the platformqRaptorqRaptorYou
Runs the workqRaptorIndividual steps run in your networkYou
Where data goesqRaptor cloud, with residency options on EnterpriseSensitive calls stay inside your networkNever leaves your infrastructure
You manage infrastructureNothingA lightweight executorThe whole appliance
Use it whenThe defaultAgents must reach a private database or internal APIThe system has to run somewhere you control
  • Remote executors — keep the platform managed and push only the sensitive steps into your network.
  • Export as an appliance — take the whole governed system off-platform as a sealed, signed archive.