> ## Documentation Index
> Fetch the complete documentation index at: https://docs.slai.io/llms.txt
> Use this file to discover all available pages before exploring further.
# Testing
> Interactively testing a model in the sandbox.
Slai provides two ways to test your models:
1. Unit Tests
2. E2E tests with the test console
## Writing Unit Tests
You can write unit tests for your models in `test.py`. For example, a basic test suite to verify the output of your model might look like this:
```python theme={null}
def test(model):
example_input = "This model generates text"
model_response = model(text=example_input)["generated_text"]
assert(model_response is not None)
assert(isinstance(model_response, str))
assert(len(model_response) > 10)
```
You can run your tests by clicking the **Test** button in the sandbox.
### Running E2E Tests
Slai also provides an interactive test client based on the input and output data types you define in the `handler.py` file.
For example, suppose we've defined a single string field as input, and two string fields as output.
```python theme={null}
inputs = {"text": slai.types.String()}
outputs = {"generated_text": slai.types.String(), "sentiment": slai.types.String()}
```
The test console would generate a schema based on the handler fields defined above:
### Running Tests Against Deployed Models
If you've already deployed your model, you can run your test against the live model in the **Request Type** toggle menu.
**Development** runs the test against the current model in the sandbox. **Live** runs the test against the deployed model.
