diff --git a/request_llm/bridge_all.py b/request_llm/bridge_all.py
index 4c7f19d..abec167 100644
--- a/request_llm/bridge_all.py
+++ b/request_llm/bridge_all.py
@@ -361,7 +361,7 @@ if "chatgpt_website" in AVAIL_LLM_MODELS:   # 接入一些逆向工程https://gi
             "chatgpt_website": {
                 "fn_with_ui": chatgpt_website_ui,
                 "fn_without_ui": chatgpt_website_noui,
-                "endpoint": None,
+                "endpoint": openai_endpoint,
                 "max_token": 4096,
                 "tokenizer": tokenizer_gpt35,
                 "token_cnt": get_token_num_gpt35,
diff --git a/request_llm/bridge_chatgpt_website.py b/request_llm/bridge_chatgpt_website.py
index 96af833..7f3147b 100644
--- a/request_llm/bridge_chatgpt_website.py
+++ b/request_llm/bridge_chatgpt_website.py
@@ -118,16 +118,6 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
     chatbot 为WebUI中显示的对话列表，修改它，然后yeild出去，可以直接修改对话界面内容
     additional_fn代表点击的哪个按钮，按钮见functional.py
     """
-    if is_any_api_key(inputs):
-        chatbot._cookies['api_key'] = inputs
-        chatbot.append(("输入已识别为openai的api_key", what_keys(inputs)))
-        yield from update_ui(chatbot=chatbot, history=history, msg="api_key已导入") # 刷新界面
-        return
-    elif not is_any_api_key(chatbot._cookies['api_key']):
-        chatbot.append((inputs, "缺少api_key。\n\n1. 临时解决方案：直接在输入区键入api_key，然后回车提交。\n\n2. 长效解决方案：在config.py中配置。"))
-        yield from update_ui(chatbot=chatbot, history=history, msg="缺少api_key") # 刷新界面
-        return
-
     if additional_fn is not None:
         from core_functional import handle_core_functionality
         inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
@@ -245,14 +235,9 @@ def generate_payload(inputs, llm_kwargs, history, system_prompt, stream):
     if not is_any_api_key(llm_kwargs['api_key']):
         raise AssertionError("你提供了错误的API_KEY。\n\n1. 临时解决方案：直接在输入区键入api_key，然后回车提交。\n\n2. 长效解决方案：在config.py中配置。")
 
-    api_key = select_api_key(llm_kwargs['api_key'], llm_kwargs['llm_model'])
-
     headers = {
         "Content-Type": "application/json",
-        "Authorization": f"Bearer {api_key}"
     }
-    if API_ORG.startswith('org-'): headers.update({"OpenAI-Organization": API_ORG})
-    if llm_kwargs['llm_model'].startswith('azure-'): headers.update({"api-key": api_key})
 
     conversation_cnt = len(history) // 2