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♻️(backend) use mistral sdk with legacy ai feature

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We also want to use the mistral sdk with the legacy AI feature when this
one is configured with the settings. In order to separate bot feature,
they now live in their own module.
This commit is contained in:
Manuel Raynaud
2026-04-30 09:32:34 +02:00
parent 8c84dbf39a
commit 6cfc8990b9
10 changed files with 279 additions and 138 deletions
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src/backend/core/api/viewsets.py
+10 -3
View File
@@ -49,7 +49,8 @@ from treebeard.exceptions import InvalidMoveToDescendant
from core import authentication, choices, enums, models
from core.api.filters import remove_accents
from core.services import mime_types
from core.services.ai_services import AIService
from core.services.ai_services.blocknote import AIService
from core.services.ai_services.legacy import get_legacy_ai_service
from core.services.collaboration_services import CollaborationService
from core.services.converter_services import (
ConversionError,
@@ -2133,13 +2134,16 @@ class DocumentViewSet(
# Check permissions first
self.get_object()
if not settings.AI_FEATURE_ENABLED or not settings.AI_FEATURE_LEGACY_ENABLED:
raise ValidationError("AI feature is not enabled.")
serializer = serializers.AITransformSerializer(data=request.data)
serializer.is_valid(raise_exception=True)
text = serializer.validated_data["text"]
action = serializer.validated_data["action"]
response = AIService().transform(text, action)
response = get_legacy_ai_service().transform(text, action)
return drf.response.Response(response, status=drf.status.HTTP_200_OK)
@@ -2161,13 +2165,16 @@ class DocumentViewSet(
# Check permissions first
self.get_object()
if not settings.AI_FEATURE_ENABLED or not settings.AI_FEATURE_LEGACY_ENABLED:
raise ValidationError("AI feature is not enabled.")
serializer = self.get_serializer(data=request.data)
serializer.is_valid(raise_exception=True)
text = serializer.validated_data["text"]
language = serializer.validated_data["language"]
response = AIService().translate(text, language)
response = get_legacy_ai_service().translate(text, language)
return drf.response.Response(response, status=drf.status.HTTP_200_OK)