Accept OpenAI multipart image edits

dev/test_router_support.py

@@ -24,6 +24,7 @@ from router_support import (  # noqa: E402
     load_profile_registry,
 )
 from ai_profile_router import (  # noqa: E402
+    Handler,
     STATE,
     _cap_chat_generation,
     _context_matches,
@@ -141,6 +142,45 @@ class ChatImageInputTests(unittest.TestCase):
         self.assertEqual(request, normalized)
 
 
+class ImageEditMultipartTests(unittest.TestCase):
+    def test_openai_image_array_upload_keeps_all_references(self) -> None:
+        boundary = "OpenClawImageBoundary"
+        parts = [
+            (
+                f"--{boundary}\r\n"
+                'Content-Disposition: form-data; name="model"\r\n\r\n'
+                "Qwen-Image-2.1-int8\r\n"
+            ).encode(),
+            (
+                f"--{boundary}\r\n"
+                'Content-Disposition: form-data; name="prompt"\r\n\r\n'
+                "Nur die Farbe ändern\r\n"
+            ).encode(),
+            (
+                f"--{boundary}\r\n"
+                'Content-Disposition: form-data; name="image[]"; filename="a.png"\r\n'
+                "Content-Type: image/png\r\n\r\n"
+            ).encode() + b"PNG-A\r\n",
+            (
+                f"--{boundary}\r\n"
+                'Content-Disposition: form-data; name="image[]"; filename="b.png"\r\n'
+                "Content-Type: image/png\r\n\r\n"
+            ).encode() + b"PNG-B\r\n",
+            f"--{boundary}--\r\n".encode(),
+        ]
+        handler = object.__new__(Handler)
+        files, fields = handler._parse_multipart_parts(
+            b"".join(parts), f"multipart/form-data; boundary={boundary}")
+
+        self.assertEqual(fields["model"], "Qwen-Image-2.1-int8")
+        self.assertEqual(fields["prompt"], "Nur die Farbe ändern")
+        self.assertEqual(
+            files,
+            [("image[]", "a.png", b"PNG-A"),
+             ("image[]", "b.png", b"PNG-B")],
+        )
+
+
 class LlamaCppReasoningTests(unittest.TestCase):
     def test_disabled_values_really_disable_thinking(self) -> None:
         for effort in (None, "none", "off", "disabled", False):