фикс имаге

config_def.py

@@ -43,7 +43,7 @@ DEFAULT_NOTIFY = "da"
 DEFAULT_MARKDOWN = "old"
 
 # модель которая умеет принимать картинки очень важно
-IMAGE_MODEL = "ollama*gemma3:27b-cloud"
+IMAGE_MODEL = "ollama*gemma4:31b-cloud"
 
 # я забыл если честно
 SHOW_ACC_MSG = True
@@ -98,7 +98,6 @@ PROVIDERS = {
 #   если да, то модель будет напрямую смотреть фото в messages
 MODELS = {
     "ollama": {
-        "gemma3:27b-cloud": {"vision": False},
         "gemma4:31b-cloud": {"vision": True},
     },
     "krutoiapi": {

supergenerator.py

@@ -3,8 +3,6 @@ import re
 import shelve
 import time
 import ai
-import json
-import traceback
 
 from configparser import DEFAULTSECT
 
@@ -71,7 +69,7 @@ async def generate(
         if images:
             if settings.get("vision"):
                 for image in images:
-                    content += [{"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{image}"}}]
+                    content += [{"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{image['data']}"}}]
             else:
                 for image in images:
                     try:
@@ -95,9 +93,13 @@ async def generate(
         user_contexts[user_id].append({"role": "user", "content": content})
         user_contexts[user_id] = user_contexts[user_id][-MAX_CONTEXT:]
 
-        messages = [{"role": "system", "content": system_prompt}] + user_contexts[
-            user_id
-        ]
+        context = []
+        for i, m in enumerate(user_contexts[user_id]):
+            if m.get("role") == "user" and i < len(user_contexts[user_id]) - 1:
+                m = {**m, "content": [p for p in m["content"] if p.get("type") != "image_url"]}
+            context.append(m)
+
+        messages = [{"role": "system", "content": system_prompt}] + context
     else:
         model = DEFAULT_MODEL.split("*", 2)
         settings = MODELS.get(model[0]).get(model[1])
@@ -166,22 +168,20 @@ async def image2text(image) -> str:
         return ""
     model = IMAGE_MODEL.split("*", 1)
     api = PROVIDERS[model[0]]
-    text = ""
     messages = [
         {
             "role": "user",
             "content": [
-                {"type": "input_text", "text": IMAGE_PROMPT},
-                {"type": "input_image", "image_url": f"data:image/jpeg;base64,{image}"},
+                {"type": "text", "text": IMAGE_PROMPT},
+                {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{image}"}},
             ],
         }
     ]
-    async for response in ai.responses(
-        url=api["url"], api_key=api["key"], model=model[1], input=messages, stream=False
+    async for completion in ai.completions(
+        url=api["url"], api_key=api["key"], model=model[1], messages=messages, stream=False
     ):
         pass
-    text = response.output_text
-    return text
+    return completion["choices"][0]["message"]["content"]
 
 
 async def openai_generate_text(