How to Run LLM Prompt Experiments

Run experiments with historical datasets to test, evaluate, and improve prompts over time while preventing regressions in production systems.

We are deprecating the Experiments feature and it will be removed from the platform on September 1st, 2025.

Feature Highlight

• Create as many prompt versions as you like, without impacting production data.
• Evaluate the outputs of your new prompt (and have data to back you up 📈).
• Save cost by testing on specific datasets and making fewer calls to providers like OpenAI. 🤑

Running your first prompt experiment

To start an experiment, first, go to the Prompts tab and select a prompt.

1. Click `Start Experiment`

   On the top right, click Start Experiment.
2. Select the base prompt

   Select a base prompt and click Continue. You can edit the prompt in the next step.

   To run an experiment on the production prompt, look for the production tag.
3. Edit the prompt

   Your changes will not affect the original prompt, but rather create a new one to test your experiment on.
4. Configure your experiment

   Select the dataset, model and provider keys.

   To run your experiment on a random dataset, click Generate random dataset. We will pick up to 10 random data from your existing requests.
5. Confirm and run

   The Diff Viewer compares your new prompt to the base prompt that you selected.
6. View outputs

   Once the experiment is finished, click on it to see a list of inputs and the associated outputs from the base prompt and the experiment.

Assistant

Responses are generated using AI and may contain mistakes.