Sandbox Configuration & Settings
Configure sandbox environments for your Origin project. Set compute resources, define runtime parameters, and manage isolated execution environments for AI-assisted development workflows.
The Sandboxes page shows all sandbox instances associated with the project, along with their current status, resource allocation, and lifecycle history.
Sandboxes are isolated Linux compute environments backed by TDX (confidential compute) infrastructure. Each sandbox gets dedicated CPU, memory, and disk resources and runs in a confidential compute environment tied to your project.
Workspace History
All sandbox instances for the project are listed under Workspace History. The top-right of the section shows the total spend and total number of workspaces created for the project (for example, $10.00 · 5 workspaces).
Each entry shows:
- Instance name: a short identifier such as
trial-a913393forsandbox-88f2ce00 - UUID: the full unique identifier for the instance
- Status badge: the current state of the sandbox:
- Running: the sandbox is active
- Archived: the sandbox has been stopped and archived
- Unknown: the instance record exists in ORGN but the sandbox no longer exists in the underlying Daytona infrastructure
- TDX Sandbox badge, confirms the instance ran on TDX-backed confidential infrastructure
- Resource allocation: CPU cores, memory, and disk shown for the instance (for example, 4 cores / 8 GB / 50 GB)
"Sandbox no longer exists in Daytona"
Some entries may show a warning: Sandbox no longer exists in Daytona. This means ORGN has a record of the sandbox but it has been removed from the underlying compute layer. The entry is kept in history for cost tracking and audit purposes. No action is required.
Infrastructure
Sandboxes run on a pool of nodes with the following allocation per node:
- 44 vCPUs
- 176 GiB RAM
- 750 GB storage
Three node pools back sandbox operations:
- sandbox-c3-44: where sandboxes execute (scales 1–110 nodes, Ubuntu 24.04 LTS)
- control-tdx: fixed 3-node control plane
- tdx-us-central1: general-purpose workloads (scales 1–5 nodes)
Viewing Sandboxes in OLLM
Sandboxes created in ORGN are also visible in the OLLM console. The OLLM view surfaces organisation-wide metrics including total sandboxes created, cumulative compute minutes, daily creation counts, and current resource utilisation across CPU, RAM, and storage.
Individual sandbox entries show the sandbox ID, resource allocation, creation timestamp, status, regional location, and an operational timeline. This view is for monitoring only, sandboxes cannot be created, modified, or deleted from the OLLM console.
Project Context & Knowledge Files
Explore the Context section in Origin, where you can add and manage supporting documents that help AI agents understand your project's requirements and documentation.
Model & AI Configuration
Configure the AI models used in your Origin project. Select and customize the language models that power your agent sessions, task execution, and code generation workflows.