Identify Blurt in OpenRouter requests

blurt.py

@@ -24,6 +24,8 @@ from scipy.io import wavfile
 
 OPENAI_TRANSCRIPTIONS_URL = "https://api.openai.com/v1/audio/transcriptions"
 OPENROUTER_TRANSCRIPTIONS_URL = "https://openrouter.ai/api/v1/audio/transcriptions"
+OPENROUTER_APP_URL = "https://git.felixm.de/felixm/blurt"
+OPENROUTER_APP_TITLE = "Blurt"
 DEFAULT_TRANSCRIPTION_MODEL = "whisper-1"
 DEFAULT_TRANSCRIPTION_LANGUAGE = "en"
 # (model_id, menu_label, provider). The provider selects both the API endpoint
@@ -484,7 +486,7 @@ class BlurtApp:
                 result = self._transcribe_openrouter(wav_bytes)
             else:
                 result = self._transcribe_openai(wav_bytes)
-            text = result.get("text", "")
+            text = result.get("text", "").lstrip()
             logging.info("Transcription text length: %d", len(text))
             if "usage" in result:
                 logging.info("Transcription usage: %s", result["usage"])
@@ -547,7 +549,11 @@ class BlurtApp:
         audio_b64 = base64.b64encode(wav_bytes).decode("ascii")
         response = self.session.post(
             OPENROUTER_TRANSCRIPTIONS_URL,
-            headers={"Authorization": f"Bearer {self.api_keys['openrouter']}"},
+            headers={
+                "Authorization": f"Bearer {self.api_keys['openrouter']}",
+                "HTTP-Referer": OPENROUTER_APP_URL,
+                "X-OpenRouter-Title": OPENROUTER_APP_TITLE,
+            },
             json={
                 "model": self.transcription_model,
                 "input_audio": {"data": audio_b64, "format": "wav"},