Hi there Oliver Su (Artech Consulting LLC)
Thanks for using QandA platform
the multi-grader setup in Azure AI Foundry is a bit picky when combining built-in and custom graders. The main thing to check is that each grader inside your graders block explicitly defines both input and reference, even for the custom Python grader. Also, make sure the names you use in calculate_output exactly match the grader keys. For example, you can structure it like this: one grader for text similarity and another for your custom check, then combine them with something like "calculate_output": "0.5 * ext_text_similarity + 0.5 * custom_check". The custom grader’s source should return a numeric value (like 0 or 1). Once you align those details, it should work fin
If this helps kindly accept the answer