#7051 microsoft/mai-transcribe-2 is a transcription model and cannot be used with the chat/completions endpoint. Use the /api/

microsoft/mai-transcribe-2 is a transcription model and cannot be used with the chat/completions endpoint. Use the /api/v1/audio/transcriptions endpoint instead.
https://openrouter.ai/api/v1
{'model': 'microsoft/mai-transcribe-2', 'timeout': 300, 'temperature': 0.2, 'max_tokens': 8192, 'reasoning_effort': 'medium'}:Traceback (most recent call last):
File "videotrans\translator\_openaicompat.py", line 90, in _item_task
File "videotrans\translator\_openaicompat.py", line 51, in _create_completion
File "openai\_utils\_utils.py", line 298, in wrapper
File "openai\resources\chat\completions\completions.py", line 1215, in create
File "openai\_base_client.py", line 1332, in post
File "openai\_base_client.py", line 1105, in request
openai.BadRequestError: Error code: 400 - {'error': {'message': 'microsoft/mai-transcribe-2 is a transcription model and cannot be used with the chat/completions endpoint. Use the /api/v1/audio/transcriptions endpoint instead.', 'code': 400}, 'user_id': 'user_3HDE3gd4ubM44a0xR3MpEOeRVXg'}

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "videotrans\util\TestSrtTrans.py", line 19, in run
File "videotrans\translator\_runner.py", line 67, in run
File "videotrans\translator\_base.py", line 71, in run
File "videotrans\translator\_base.py", line 209, in _run_srt
File "tenacity\__init__.py", line 338, in wrapped_f
File "tenacity\__init__.py", line 477, in call
File "tenacity\__init__.py", line 378, in iter
File "tenacity\__init__.py", line 400, in
File "concurrent\futures\_base.py", line 451, in result
File "concurrent\futures\_base.py", line 403, in __get_result
File "tenacity\__init__.py", line 480, in call
File "videotrans\translator\_openaicompat.py", line 95, in _item_task
videotrans.configure.excepts.StopTask: microsoft/mai-transcribe-2 is a transcription model and cannot be used with the chat/completions endpoint. Use the /api/v1/audio/transcriptions endpoint instead.
https://openrouter.ai/api/v1
{'model': 'microsoft/mai-transcribe-2', 'timeout': 300, 'temperature': 0.2, 'max_tokens': 8192, 'reasoning_effort': 'medium'}