Orlo Documentation
Orlo helps teams prove AI works, deploy it safely, and keep it governed in production.
This documentation site covers two connected surfaces:
- Orlo Open Core — public packages for validation, runtime adapters, Web Components, and agent-governance SDKs
- Orlo Platform — the managed multi-tenant platform and the APIs used to integrate with it
Start Here
Open Core
Orlo Open Core is for developers and platform builders who want reusable building blocks:
- deterministic validation
- runtime adapters
- agent-governance SDKs
- framework-agnostic Studio Web Components
If you want to understand or adopt the open packages first, start with:
Orlo Platform
Orlo Platform is the full managed product experience:
- task definition and versioning
- dataset upload and evaluation
- deployment and inference
- retrieval and document ingestion
- governed feedback promotion
- multi-tenant platform behavior
- agent-step governance APIs
If you are integrating against the product, start with:
Orlo Platform APIs are available at api.useorlo.com.
Use Open Core when
- you want to evaluate Orlo's technical primitives
- you want reusable validation, adapter, or UI components
- you are integrating Orlo-style governance into an existing engineering stack
Use Orlo Platform when
- you want the full evaluation-to-deployment loop
- you need tenant isolation, auditability, approvals, and governance in one system
- you want a domain team to use AI safely without becoming an AI platform team
Core Concepts
- Task — the unit of domain work
- Task Version — immutable snapshot of schemas, prompts, and validation
- Dataset — labeled examples for evaluation
- Evaluation — budget-bounded, uncertainty-aware model comparison
- Deployment — a frozen model + task-version + strategy binding
- Inference — governed execution through the Orlo runtime path
- Feedback — corrections and promotion into improved datasets
- Agent Session — a governed trajectory of agent steps