FAQ
General
What is qRaptor?
qRaptor is an agent-native application platform that lets you build, deploy, and manage AI agents and applications. See What is qRaptor? for a full introduction.
What’s the difference between an AI Agent and a Task Agent?
- AI Agent — Config-driven, uses LLM planning to dynamically select tools and respond. Best for conversational assistants.
- Task Agent — Graph-based visual workflow with explicit control flow (conditions, loops, parallel execution). Best for deterministic, step-by-step processes.
Do I need to know how to code?
No. The visual Agent Builder lets you create workflows without writing code. However, the Code node is available for advanced users who want to run custom Python logic.
Accounts & billing
Is there a free plan?
Yes. The Free plan includes 1 project, 3 agents, 75 monthly credits, and community support. No credit card required.
How do credits work?
Credits are consumed when your agents use LLM calls, tools, and data operations.
Can I change my plan at any time?
Yes. Upgrades take effect immediately. Downgrades take effect at the end of the billing period.
Agents & building
How many agents can I create?
It depends on your plan — from 3 (Free) to unlimited (Enterprise).
Can agents call other agents?
Yes. Use the Agent Call node in a Task Agent, or enable the A2A protocol on an AI Agent to expose it as a callable service.
For external systems, qRaptor’s A2A support is standards-compliant JSON-RPC 2.0 (A2A 0.2.x and 0.3.0, via message/send), so agent frameworks such as Google ADK and LangGraph, and A2A-capable enterprise platforms, can invoke a deployed agent directly. See A2A integration.
What LLM models are supported?
qRaptor supports multiple LLM providers. Available models depend on your plan. Configure models in Configuration → LLM Settings within your project.
Can I bring my own LLM API key?
Enterprise plans support custom model endpoints. Contact sales for details.
Deployments
What’s the difference between preview and production deployments?
Preview is a temporary environment you use while building, inside the app, copilot, or agent editor. Production deployments are always-on, serve real users, and support custom domains. See the Deployments overview for the full comparison, and Production deployments.
Can I use my own domain?
Yes, on Starter and above. See Custom domains.
How do I authenticate API calls to my deployment?
Use API keys (for server-to-server) or OIDC (for end-user authentication). Both are configured in deployment settings.
Data & security
Where is my data stored?
Data is stored in secure cloud infrastructure. Enterprise plans offer data residency options.
Is my data used to train models?
No. Your data is never used to train or fine-tune any LLM models.
Is qRaptor SOC 2 compliant?
Compliance certifications are available for Enterprise plans. Contact sales for details.
Still have questions?
Reach out to us — see the Support page for contact options.