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Use consistent 'inference' terminology in error messages

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This commit is contained in:
Paul Kompfner
2026-03-31 10:17:29 -04:00
parent 30903042e5
commit 657a5def57
1 changed files with 2 additions and 2 deletions
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4
src/pipecat/services/openai/responses/llm.py
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@@ -709,7 +709,7 @@ class OpenAIResponsesLLMService(_BaseOpenAIResponsesLLMService, WebsocketLLMServ
self._needs_drain = True
raise
except Exception as e:
await self.push_error(error_msg=f"Error during completion: {e}", exception=e)
await self.push_error(error_msg=f"Error during inference: {e}", exception=e)
finally:
await self.stop_processing_metrics()
await self.push_frame(LLMFullResponseEndFrame())
@@ -971,7 +971,7 @@ class OpenAIResponsesHttpLLMService(_BaseOpenAIResponsesLLMService):
await self._call_event_handler("on_completion_timeout")
await self.push_error(error_msg="LLM completion timeout", exception=e)
except Exception as e:
await self.push_error(error_msg=f"Error during completion: {e}", exception=e)
await self.push_error(error_msg=f"Error during inference: {e}", exception=e)
finally:
await self.stop_processing_metrics()
await self.push_frame(LLMFullResponseEndFrame())