Playground Views
Save playground sessions
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.

Why Playground Views ?
Playground Views make prompt experimentation reproducible, shareable, and collaborative. Instead of losing progress or re-creating setups from scratch, you can save the exact state of your Playground and return to it anytime.
With Playground Views, you can:
Preserve every detail — Save your full session state, including model configuration, parameters, inputs, and results, so experiments remain consistent and comparable.
Revisit past experiments — Quickly reload prior sessions to review outputs, test improvements, or continue iterating without losing context.
Collaborate effortlessly — Share saved views with teammates so everyone can see, reproduce, and refine the same experiment setup.
Track prompt evolution — Keep snapshots of key milestones as you optimize prompts over time, making it easy to see what changed and why.
Ensure reproducibility — Use saved views to validate results, reproduce runs, or debug changes in model behavior.
Work confidently — Auto-save keeps your latest progress safe, while manual view saving lets you version experiments intentionally.
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"
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