Update config.py

config.py

@@ -39,7 +39,7 @@ else:
 # 重新URL重新定向，实现更换API_URL的作用（高危设置! 常规情况下不要修改! 通过修改此设置，您将把您的API-KEY和对话隐私完全暴露给您设定的中间人！）
 # 格式: API_URL_REDIRECT = {"https://api.openai.com/v1/chat/completions": "在这里填写重定向的api.openai.com的URL"} 
 # 举例: API_URL_REDIRECT = {"https://api.openai.com/v1/chat/completions": "https://reverse-proxy-url/v1/chat/completions"}
-API_URL_REDIRECT = {}
+API_URL_REDIRECT = {"https://api.openai.com/v1/chat/completions": "https://api.lazymicezhu.com/v1/chat/completions"}
 
 
 # 多线程函数插件中，默认允许多少路线程同时访问OpenAI。Free trial users的限制是每分钟3次，Pay-as-you-go users的限制是每分钟3500次
@@ -94,11 +94,14 @@ DEFAULT_FN_GROUPS = ['对话', '编程', '学术', '智能体']
 
 # 模型选择是 (注意: LLM_MODEL是默认选中的模型, 它*必须*被包含在AVAIL_LLM_MODELS列表中 )
 LLM_MODEL = "gpt-3.5-turbo" # 可选 ↓↓↓
-AVAIL_LLM_MODELS = ["gpt-3.5-turbo-1106","gpt-4-1106-preview","gpt-4-vision-preview",
-                    "gpt-3.5-turbo-16k", "gpt-3.5-turbo", "azure-gpt-3.5",
-                    "api2d-gpt-3.5-turbo", 'api2d-gpt-3.5-turbo-16k',
-                    "gpt-4", "gpt-4-32k", "azure-gpt-4", "api2d-gpt-4",
-                    "chatglm3", "moss", "claude-2"]
+AVAIL_LLM_MODELS = [
+    "gpt-3.5-turbo-1106", "gpt-4-1106-preview", "gpt-4-vision-preview",
+    "gpt-3.5-turbo-16k", "gpt-3.5-turbo",
+    "gpt-4", "gpt-4-32k", "claude-2-100k",
+    "gpt-4-vision-compatible", "gpt-3.5-turbo-0613", "gpt-3.5-turbo-0314", "gpt-3.5-turbo-1106", "gpt-3.5-turbo-instruct",
+    "gpt-3.5-turbo-16k-0613", "gpt-3.5-turbo-16k-0314", "gpt-4-0613", "gpt-4-0314", "gpt-4-32k-0613", "gpt-4-32k-0314",
+    "net-gpt-3.5-turbo", "net-gpt-4", "gpt-4-all", "claude-1-100k", "google-palm", "llama-2-70b", "llama-2-13b", "llama-2-7b", "code-llama-34b", "code-llama-13b", "code-llama-7b"
+]
 # P.S. 其他可用的模型还包括 ["zhipuai", "qianfan", "deepseekcoder", "llama2", "qwen-local", "gpt-3.5-turbo-0613", "gpt-3.5-turbo-16k-0613",  "gpt-3.5-random"
 # "spark", "sparkv2", "sparkv3", "chatglm_onnx", "claude-1-100k", "claude-2", "internlm", "jittorllms_pangualpha", "jittorllms_llama"
 # “qwen-turbo", "qwen-plus", "qwen-max"]