> ## Documentation Index
> Fetch the complete documentation index at: https://docs.atla-ai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Experiments

> Track experiments to try out new features and resolve existing issues

You can generate runs of your Atla Insights experiments by using the `run_experiment` context manager.

<CodeGroup>
  ```python icon="python" lines theme={null}
  from atla_insights import run_experiment

  with run_experiment(
      experiment_name="my-experiment-name",  # optional: defaults to random identifier
      description="Testing out shiny new feature",  # optional
  ):
      # Your experiment code here
  ```

  ```code icon="square-js" theme={null}
  // coming soon...
  // poke us here: https://github.com/atla-ai/atla-insights-sdk-js/issues
  ```
</CodeGroup>

Inside the context manager, you can run your instrumented agent code as usual.

As a result, you will be able to see granular and semantically rich insights about your experiment.