Vault for Generated Images
Save generated images to the Vault, keep them attached to executions, and manage them in the dashboard.
Vault for Generated Images
Vault is a secure, private library for generated images. When enabled on a project, every image produced by the Image Generation API is stored in Supabase Storage and appears in both the execution details and the Vault page.
Enable Vault for a project
- Open the project in the Proxed.AI dashboard.
- In the Image Generation section, toggle Save images to Vault.
Once enabled, new images generated for that project are automatically saved.
What gets saved
When Vault is enabled, Proxed stores:
- The image file in the private
vaultbucket. - Metadata such as project, execution, mime type, size, and timestamps.
Object paths follow this pattern:
team-id/generated-images/<project-id>/YYYY/MM/DD/<uuid>.<ext>API response changes
When Vault is enabled, each image includes a signed url and its path in addition to the base64 payload.
{
"images": [
{
"base64": "iVBORw0KGgoAAAANSUhEUg...",
"mediaType": "image/png",
"url": "https://...signed-url...",
"path": "team-id/generated-images/project-id/2025/12/30/uuid.png"
}
]
}Signed URLs are short-lived to keep Vault private. Use path to request a fresh signed URL when needed.
Viewing in the dashboard
- Execution details show a grid of saved images for that run.
- Vault shows all saved images across projects in a single grid.
Vault supports search, project filtering, and date range filtering. Each image includes actions to open, download, or delete.
Permissions
- Team members can view Vault items for their team.
- Only team owners can delete items from Vault.
Self-hosting notes
If you self-host Proxed.AI:
- Run the latest Supabase migrations.
- Ensure the
vaultstorage bucket and policies are applied.
This keeps Vault private and scoped to team membership.
Test Mode for Development
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Local Setup
Follow this detailed guide to set up your local development environment for Proxed.AI. Covers project structure, prerequisites like Bun and Docker, cloning the repository, installing dependencies, and running the project.