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Documentation Index

Fetch the complete documentation index at: https://www.adaline.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

Adaline gives you control over the data your team creates and the telemetry your applications generate. This page covers how to export project data, manage retention, and request data deletion.

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Data export

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Project export

You can export individual projects from the Adaline Dashboard. A project export produces a JSON file containing the project’s prompts, datasets (structure and rows), evaluators, variables, tools, and deployment environment configuration. To export a project:
  1. Open the project in the Dashboard
  2. Click the project menu in the sidebar
  3. Select Export Project
  4. Save the downloaded JSON file
Project exports are useful for backing up your work, migrating configurations between workspaces, sharing project templates with teammates, or seeding new environments. The same JSON format is accepted by Import Project to recreate the full project in any workspace.
Project exports include configuration and dataset content but do not include log data. To export logs, contact support@adaline.ai.

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Workspace-level export

Currently there is no self-service workspace-level export feature available. You can use the Adaline API to programmatically list and retrieve projects, prompts, datasets, etc. or contact support@adaline.ai.

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Data retention

Adaline retains your data according to your plan’s retention policy. Retention periods vary by billing plans. Retention applies to all data stored in the platform, including:
  • Production logs — traces, spans, and their associated inputs, outputs, and metadata
  • Project configurations — prompts, datasets, evaluators, and deployment environments
  • Evaluation results — scores, evaluator outputs, and run history
  • Audit logs — authentication events, resource operations, and configuration changes
When data reaches the end of its retention window, it is automatically and permanently deleted from Adaline’s storage systems.

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Data deletion

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Project deletion

Deleting a project in Adaline permanently deletes all of the project’s resources — folders, prompts, datasets, evaluators, evaluations runs, deployments, environments, logs, etc. This action cannot be undone.

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Workspace-level deletion

Currently there is no self-service workspace-level deletion feature available. You must contact support@adaline.ai to request workspace deletion.