Normalize image to JPEG before vision analysis (fixes HEIF/HEIC support)

analyze_user_image now runs input bytes through Pillow before base64-
encoding, converting HEIC/HEIF and any other non-JPEG format to JPEG.
pillow_heif is already registered at module load so HEIC opens cleanly.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

utils/image_process.py

@@ -1,5 +1,6 @@
 from ollama import Client
 import argparse
+import io
 import os
 import logging
 from PIL import Image, ExifTags
@@ -76,6 +77,16 @@ def describe_simba_image(input):
     return result
 
 
+def _to_jpeg_bytes(file_bytes: bytes) -> bytes:
+    """Normalize image bytes to JPEG, handling HEIC/HEIF and other formats."""
+    img = Image.open(io.BytesIO(file_bytes))
+    if img.mode not in ("RGB", "L"):
+        img = img.convert("RGB")
+    buf = io.BytesIO()
+    img.save(buf, format="JPEG", quality=85)
+    return buf.getvalue()
+
+
 async def analyze_user_image(file_bytes: bytes) -> str:
     """Analyze an image uploaded by a user and return a text description.
 
@@ -86,6 +97,8 @@ async def analyze_user_image(file_bytes: bytes) -> str:
 
     from openai import AsyncOpenAI
 
+    file_bytes = _to_jpeg_bytes(file_bytes)
+
     llama_url = os.getenv("LLAMA_SERVER_URL")
     if llama_url:
         aclient = AsyncOpenAI(base_url=llama_url, api_key="not-needed")