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The Playground lets you create and iterate on prompts without writing code. Use it to:
  • Experiment with prompt templates and model configurations
  • Test prompts against sample inputs before deploying
  • Save working versions for use in your application
HoneyHive Playground interface with provider selection, chat template editor, and response output

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Prerequisites

Before using the Playground, configure your model provider API keys in Settings > AI Provider Secrets.
You can configure multiple providers (OpenAI, Anthropic, etc.) and switch between them in the Playground.

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Creating a Prompt

  1. Navigate to Studio > Playground in the sidebar
  2. Select a Provider and Model in the left panel
  3. Write your prompt template in the Chat Template section
  4. Use {{variable}} syntax for dynamic inputs (e.g., {{question}})
  5. Add sample values in the Inputs panel
  6. Click Run to test the prompt
Dynamic variables like {{question}} let you insert user inputs or context from your application at runtime.

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Saving and Forking

Prompts are saved as configurations - each configuration is a single record that you can update or fork.
ActionWhat Happens
Save (new prompt)Creates a new configuration with your chosen name
Save (existing prompt)Overwrites the existing configuration
ForkCreates a copy, preserving the original
To preserve a working prompt before experimenting, use Fork first. Saving an existing configuration overwrites it.
To save a prompt:
  1. Click Save in the top toolbar
  2. Enter a configuration name (e.g., v1-production)
  3. The saved configuration appears in Studio > Prompts
To create a variant without losing the original:
  1. Click Fork to create a copy
  2. Make your changes
  3. Save the forked version with a new name

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Managing Saved Prompts

View all saved prompts in Studio > Prompts:
All Prompts table showing environment badges (prod, staging, dev), version names, models, and prompt templates
From here you can:
  • Deploy a prompt to an environment (dev, staging, prod)
  • Edit a prompt by opening it in the Playground
  • Compare different versions side-by-side

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Opening Prompts from Traces

When debugging production issues, you can open any traced LLM call in the Playground:
  1. Go to Log Store and find the trace
  2. Click on a model event
  3. Click Open in Playground in the top right
This loads the exact prompt, model, and parameters from that production call so you can iterate on improvements.

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Sharing

To share a prompt with teammates:
  1. Save the prompt first
  2. Click Share in the top right
  3. Copy the link
Anyone on your team with access can view and fork the shared prompt.

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Next Steps

Deploy Prompts to Code

Fetch saved prompts in your application via SDK or YAML export.

Run Evaluations

Test prompt performance systematically with experiments.