​
Returns

Returns a TestCase object for the given parameters.

​
Example

test_case = galtea.test_cases.create(
    test_id="YOUR_TEST_ID",
    input="What is the capital of France?",
    expected_output="Paris",
    context="France is a country in Europe\nIt is known for its art, fashion, and culture\nThe capital of France is Paris\nParis is known for its cafe culture and landmarks like the Eiffel Tower",
    tag="capital city",
)

​
Parameters

​
test_id
string
required

The ID of the test you want to create the test case for.

​
input
string
required

The input for the test case. This is the question or prompt you want to send to your model for a later evaluation.

​
expected_output
string

The expected output for the input given. This is the correct answer or response you want to evaluate against.

​
context
string

The context for the test case. This is the additional information that can help the model generate the expected output.

​
tag
string

An optional tag to categorize or label the test case (e.g., “general_knowledge”, “edge_cases”, “customer_query”).

​
conversation_turns
list[dict[str, str]]

A list of previous conversation turns, each a dictionary with “input” and “actual_output” keys. This is used for test cases designed for conversational AI. Example: [{"input": "What is the capital of France?", "actual_output": "Paris"}, {"input": "What is the population of that city?", "actual_output": "2M"}]