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Prompt Studio offers advanced capabilities for test data management, collaboration, version control, and API integration.

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Test Data

Populate variables in your prompts using imported or AI-generated datasets.

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Import Test Data

Upload a CSV file to populate variable values automatically. Requirements:
  • Column names must match variables exactly (case-sensitive): {{Name}} requires a column named “Name”
  • Data must start from the first row and column
  • Maximum 10 rows imported at once
Steps:
  1. Click Test data > Import test data.
  2. Upload a CSV file or select from existing datasets.
  3. Preview the data and click Proceed.
Variables are populated from matching columns and substituted during prompt execution.

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Generate Test Data

Create synthetic datasets using AI—no manual data entry required. Limits: Maximum 5 rows generated at once. Steps:
  1. Enter a prompt with variables (e.g., {{Job Title}}, {{Experience}}).
  2. Click Test data > Generate test data.
  3. Select a model, specify row count, and click Generate.
  4. Preview the dataset and click Apply value to the variables.

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Sharing

Share prompts with other users for collaboration. Version history and settings are shared based on commit status.
ScenarioWhat’s Shared
Before committingInputs, outputs, settings (no version history)
After committingFull version history with all changes
Multiple contributorsOwner designation preserved; all versions visible
Steps:
  1. Click the three dots icon > Share.
  2. Select users (must be part of your account).
  3. Assign a role and click Share.

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Roles and Permissions

RolePermissions
Full (Owner)View, edit, restore, commit, delete; manage users and API keys
Edit (Collaborator)All Owner permissions except delete
View (Viewer)View prompts and versions only

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Versioning

Track prompt iterations by committing versions. Each commit creates a shareable record of the prompt’s evolution. Key points:
  • Versions are auto-named sequentially (V1, V2, V3…)
  • Must generate output before committing
  • Latest committed version is the default (can be changed)
  • Use any version as a draft without altering the original
  • No limit on number of versions
Steps:
  1. Generate output, then click Commit.
  2. Click Versions to view all saved versions.
  3. Select a version and click Use as a draft to edit it.
  4. Use Mark as default version to set your preferred version.

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Prompt API

Access prompts programmatically via version-specific API endpoints. How it works:
  • API endpoint is generated after the first commit
  • Calls return both SystemPrompt and HumanPrompt
  • If no version specified, returns the default version
  • Supports cURL, Python, and Node.js
API Keys:
  • Create multiple keys per endpoint
  • Keys can be copied once and deleted, but not reused
  • Deleting a key invalidates all external integrations using it
Access via the Prompt API icon on the canvas.

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Bookmark a Model

Mark your preferred model for consistent output. The bookmarked model is saved with committed versions. Steps:
  1. Click the Bookmark model with its settings icon.
  2. If committing without a bookmark, you’ll be prompted to select a preferred model.
The preferred model appears in the Versions dialog.

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Draft History

Capture complete canvas snapshots—prompts, variables, and outputs—at different points in time. Steps:
  1. Click the three dots icon > Draft history.
  2. View saved drafts with their inputs and outputs.
  3. Click Restore to revert to a previous state.
FeatureWhat’s Saved
Draft HistoryFull canvas: prompts, variables, and generated outputs
VersionsPrompts only (no outputs)

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Regenerate Output

Re-run prompts selectively to refine results without regenerating everything. Regeneration levels:
  • Cell-level: Regenerate a single output
  • Column-level: Regenerate all outputs for one model
Use cases:
  • Fine-tune prompts for better quality
  • Compare model performance
  • Reduce bias with prompt adjustments
  • Preserve good outputs while fixing specific issues