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fix: should work now

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Also added trimming to Windows transcription.

ref: N25B-452
This commit is contained in:
Kasper Marinus
2026-01-19 15:03:59 +01:00
parent c0789e82a9
commit 1cd5b46f97
2 changed files with 5 additions and 3 deletions
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4
src/control_backend/agents/llm/llm_agent.py
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@@ -90,7 +90,7 @@ class LLMAgent(BaseAgent):
full_message = "" full_message = ""
async for chunk in self._query_llm(message.text, message.norms, message.goals): async for chunk in self._query_llm(message.text, message.norms, message.goals):
if self._interrupted: if self._interrupted:
self._interrupted_message = message self._interrupted_message = message.text
self.logger.debug("Interrupted processing of previous message.") self.logger.debug("Interrupted processing of previous message.")
break break
await self._send_reply(chunk) await self._send_reply(chunk)
@@ -173,7 +173,7 @@ class LLMAgent(BaseAgent):
full_message += token full_message += token
current_chunk += token current_chunk += token
self.logger.debug( self.logger.llm(
"Received token: %s", "Received token: %s",
full_message, full_message,
extra={"reference": message_id}, # Used in the UI to update old logs extra={"reference": message_id}, # Used in the UI to update old logs

4
src/control_backend/agents/perception/transcription_agent/speech_recognizer.py
View File

@@ -145,4 +145,6 @@ class OpenAIWhisperSpeechRecognizer(SpeechRecognizer):
def recognize_speech(self, audio: np.ndarray) -> str: def recognize_speech(self, audio: np.ndarray) -> str:
self.load_model() self.load_model()
return whisper.transcribe(self.model, audio, **self._get_decode_options(audio))["text"] return whisper.transcribe(self.model, audio, **self._get_decode_options(audio))[
"text"
].strip()