支持动态适配gpts

.idea/encodings.xml

@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="Encoding">
+    <file url="file://$PROJECT_DIR$/log/access.log" charset="GBK" />
+  </component>
+</project>

data/config.json

@@ -26,7 +26,7 @@
     },
     "refresh_ToAccess": {
         "stream_sleep_time": 0,
-        "enableOai":"true",
+        "enableOai":"false",
         "xyhelper_refreshToAccess_Url": "https://demo.xyhelper.cn/applelogin"
     },
     "redis": {

main.py

@@ -255,7 +255,7 @@ def fetch_gizmo_info(base_url, proxy_api_prefix, model_id):
 # 将配置添加到全局列表
 def add_config_to_global_list(base_url, proxy_api_prefix, gpts_data):
     global gpts_configurations
-    updateGptsKey()
+    updateGptsKey()  # cSpell:ignore Gpts
     # print(f"gpts_data: {gpts_data}")
     for model_name, model_info in gpts_data.items():
         # print(f"model_name: {model_name}")
@@ -276,17 +276,15 @@ def add_config_to_global_list(base_url, proxy_api_prefix, gpts_data):
             if gizmo_info:
                 redis_client.set(model_id, str(gizmo_info))
                 logger.info(f"Cached gizmo info for {model_name}, {model_id}")
-
-        if gizmo_info:
-            # 检查模型名称是否已经在列表中
-            if not any(d['name'] == model_name for d in gpts_configurations):
-                gpts_configurations.append({
-                    'name': model_name,
-                    'id': model_id,
-                    'config': gizmo_info
-                })
-            else:
-                logger.info(f"Model already exists in the list, skipping...")
+                # 检查模型名称是否已经在列表中
+                if not any(d['name'] == model_name for d in gpts_configurations):
+                    gpts_configurations.append({
+                        'name': model_name,
+                        'id': model_id,
+                        'config': gizmo_info
+                    })
+                else:
+                    logger.info(f"Model already exists in the list, skipping...")
 
 
 def generate_gpts_payload(model, messages):
@@ -864,9 +862,13 @@ def send_text_prompt_and_get_response(messages, api_key, stream, model):
 
     # 查找模型配置
     model_config = find_model_config(model)
-    if model_config:
+    if model_config or 'gpt-4-gizmo-' in model:
         # 检查是否有 ori_name
-        ori_model_name = model_config.get('ori_name', model)
+        if model_config:
+            ori_model_name = model_config.get('ori_name', model)
+        else:
+            ori_model_name = model
+        logger.info(f"原模型名: {model}")
         logger.info(f"原模型名: {ori_model_name}")
         if ori_model_name == 'gpt-4-s':
             payload = {
@@ -918,6 +920,33 @@ def send_text_prompt_and_get_response(messages, api_key, stream, model):
                 "force_paragen": False,
                 "force_rate_limit": False
             }
+        elif 'gpt-4-gizmo-' in model:
+            payload = generate_gpts_payload(model, formatted_messages)
+            if not payload:
+                global gpts_configurations
+                # 假设 model是 'gpt-4-gizmo-123'
+                split_name = model.split('gpt-4-gizmo-')
+                model_id = split_name[1] if len(split_name) > 1 else None
+                gizmo_info = fetch_gizmo_info(BASE_URL, PROXY_API_PREFIX, model_id)
+                logging.info(gizmo_info)
+
+                # 如果成功获取到数据，则将其存入 Redis
+                if gizmo_info:
+                    redis_client.set(model_id, str(gizmo_info))
+                    logger.info(f"Cached gizmo info for {model}, {model_id}")
+                    # 检查模型名称是否已经在列表中
+                    if not any(d['name'] == model for d in gpts_configurations):
+                        gpts_configurations.append({
+                            'name': model,
+                            'id': model_id,
+                            'config': gizmo_info
+                        })
+                    else:
+                        logger.info(f"Model already exists in the list, skipping...")
+                    payload = generate_gpts_payload(model, formatted_messages)
+                else:
+                    raise Exception('KEY_FOR_GPTS_INFO is not accessible')
+
         else:
             payload = generate_gpts_payload(model, formatted_messages)
             if not payload:
@@ -2248,7 +2277,7 @@ def chat_completions():
     messages = data.get('messages')
     model = data.get('model')
     accessible_model_list = get_accessible_model_list()
-    if model not in accessible_model_list:
+    if model not in accessible_model_list and not 'gpt-4-gizmo-' in model:
         return jsonify({"error": "model is not accessible"}), 401
 
     stream = data.get('stream', False)
@@ -2410,7 +2439,7 @@ def images_generations():
     # messages = data.get('messages')
     model = data.get('model')
     accessible_model_list = get_accessible_model_list()
-    if model not in accessible_model_list:
+    if model not in accessible_model_list and not 'gpt-4-gizmo-' in model:
         return jsonify({"error": "model is not accessible"}), 401
 
     prompt = data.get('prompt', '')