Saving and Managing Playground Views

What is a Playground View?

A playground view saves a complete snapshot of your current prompt playground session, allowing you to preserve your work, share configurations with teammates, or return to previous experiments.

Creating a New View

You can create a new view at any time by saving your current playground progress. Simply click the Save as New View button and give your view a descriptive name.

What Gets Saved in a View

When you save a playground view, the following elements are preserved:

LLM Configuration

• Provider (OpenAI, Azure OpenAI, Vertex AI, AWS Bedrock, etc.)

• Specific model selection

• All model parameters (temperature, max_tokens, top_p, etc.)

• Custom model endpoint settings (if applicable)

Prompt Setup

• Complete conversation history with all message roles (system, user, assistant, tool)

• Message content and any attached images

• Tool calls and function calling configurations

Generated Results (when working with datasets)

• All responses generated during your session

• Performance metrics (latency, token counts)

• Evaluation scores and feedback (if evaluators are applied)

Data Context

• Connected data source (dataset or span)

Auto-Save Feature

Playground views automatically save your work as you make changes, so you never lose progress. A small visual indicator will show when your changes are being saved.

If you prefer, you can turn off auto-save at any time in Settings. When auto-save is disabled, you’ll need to save your prompt manually — either by selecting Save from the dropdown menu or by pressing ⌘+S

Managing Your Views

• Reload a view: Access any saved view from the Views menu to instantly restore that exact configuration

• Duplicate: Allows you to duplicate your current view to a new one.

• Exit a view: Return to a clean, stateless playground at any time by clicking "Exit View"