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refactor: use async image and transcription handling

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This commit is contained in:
Igor Ilic 2025-12-16 16:27:13 +01:00
parent d92d6b9d8f
commit f2cb68dd5e
1 changed files with 6 additions and 3 deletions
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9
cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/generic_llm_api/adapter.py
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@ -27,7 +27,9 @@ from tenacity import (
before_sleep_log,
)
from ..types import TranscriptionReturnType
from cognee.infrastructure.llm.structured_output_framework.litellm_instructor.llm.types import (
TranscriptionReturnType,
)
logger = get_logger()
observe = get_observe()
@ -216,7 +218,7 @@ class GenericAPIAdapter(LLMInterface):
raise ValueError(
f"Could not determine MIME type for audio file: {input}. Is the extension correct?"
)
response = litellm.completion(
response = await litellm.acompletion(
model=self.transcription_model,
messages=[
{
@ -270,7 +272,7 @@ class GenericAPIAdapter(LLMInterface):
raise ValueError(
f"Could not determine MIME type for image file: {input}. Is the extension correct?"
)
return litellm.completion(
response = await litellm.acompletion(
model=self.image_transcribe_model,
messages=[
{
@ -295,3 +297,4 @@ class GenericAPIAdapter(LLMInterface):
max_completion_tokens=300,
max_retries=self.MAX_RETRIES,
)
return response