@@ -1,7 +1,11 @@
+import base64
 import logging
 import uuid
 from datetime import datetime
+from io import BytesIO
 
+import filetype
+from django.core.files.uploadedfile import InMemoryUploadedFile
 from django.db.models import Q
 from drf_spectacular.utils import extend_schema
 from rest_framework import status
@@ -48,11 +52,39 @@ class CodeView(BaseGenerationView):
 class OpenAICompatibleAPIView(BaseGenerationView):
 
     def post(self, request, *args, **kwargs):
-        content = '\n'.join(f"[{msg['role'].capitalize()}] {msg['content']}" for msg in request.data.pop('messages'))
+        content_lines = []
+        file = None
+        for m in request.data.pop('messages', []):
+            role = m['role'].capitalize()
+            msg_content = m.get('content', [])
+            if isinstance(msg_content, str):
+                content_lines.append(f"[{role}] {msg_content}")
+            else:
+                for c in msg_content:
+                    if c['type'] == 'text':
+                        content_lines.append(f"[{role}] {c['text']}")
+                    elif c['type'] == 'image_url':
+                        data_url = c['image_url']['url']
+                        encoded = data_url.split('base64')[-1]
+                        buf = BytesIO(base64.b64decode(encoded))
+                        kind = filetype.guess(buf.read(20))
+                        buf.seek(0)
+                        mime = kind.mime if kind else 'application/octet-stream'
+                        ext = kind.extension if kind else 'bin'
+                        file = InMemoryUploadedFile(
+                            buf,
+                            field_name="file",
+                            name=f"api-file.{ext}",
+                            content_type=mime,
+                            size=buf.getbuffer().nbytes,
+                            charset=None
+                        )
+        content = '\n'.join(content_lines)
         version = request.data.pop('model')
         request.data['info'] = {key: request.data.pop(key) for key in request.data.copy().keys()}
         request.data['content'] = content
         request.data['info']['version'] = version
+        request.data['file'] = file
         model_slug = NeuronModel.objects.filter(
             Q(model_modelversions__slug=request.data['info']['version']) | Q(slug=request.data['info']['version'])
         ).first().slug