feat: remote Whisper via whisper.base_url — OpenAI-compatible upload

tests/test_transcription.py

@@ -1,4 +1,5 @@
 import asyncio
+import pytest
 from unittest.mock import MagicMock
 
 
@@ -23,3 +24,26 @@ def test_transcribe_file_calls_whisper(tmp_path):
     result = asyncio.run(eng.transcribe_file(str(wav), language="de"))
     assert result == "Hallo Welt"
     mock_model.transcribe.assert_called_once_with(str(wav), language="de")
+
+
+@pytest.mark.asyncio
+async def test_transcribe_uses_remote_when_base_url_set(tmp_path):
+    import wave, struct
+    wav = tmp_path / "test.wav"
+    with wave.open(str(wav), "wb") as wf:
+        wf.setnchannels(1); wf.setsampwidth(2); wf.setframerate(16000)
+        wf.writeframes(struct.pack("<100h", *([0] * 100)))
+
+    import respx, httpx
+    from transcription import TranscriptionEngine
+    eng = TranscriptionEngine()
+
+    with respx.mock:
+        respx.post("http://beastix:8000/v1/audio/transcriptions").mock(
+            return_value=httpx.Response(200, json={"text": "Hallo Welt"})
+        )
+        result = await eng.transcribe_file(
+            str(wav), language="de", model_name="large-v3",
+            device="auto", base_url="http://beastix:8000",
+        )
+    assert result == "Hallo Welt"