feat: gpt 模型列表查看指令 models

model/command/openai_official.py

@@ -4,6 +4,7 @@ from util.personality import personalities
 from cores.astrbot.types import GlobalObject
 from SparkleLogging.utils.core import LogManager
 from logging import Logger
+from openai._exceptions import NotFoundError, RateLimitError, APIError
 
 logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
 
@@ -60,8 +61,27 @@ class CommandOpenAIOfficial(Command):
             return True, self.key(message)
         elif self.command_start_with(message, "switch"):
             return True, await self.switch(message)
-
+        elif self.command_start_with(message, "models"):
+            return True, await self.get_models()
         return False, None
+    
+    async def get_models(self):
+        ret = "OpenAI GPT 类可用模型"
+        try:
+            models = await self.provider.client.models.list()
+        except NotFoundError as e:
+            bu = str(self.provider.client.base_url)
+            self.provider.client.base_url = bu + "/v1"
+            models = await self.provider.client.models.list()
+        finally:
+            print(models.data)
+            i = 1
+            for model in models.data:
+                if str(model.id).startswith("gpt"):
+                    ret += f"\n{i}. {model.id}"
+                    i += 1
+            logger.debug(ret)
+        return True, ret, "models"
 
     async def help(self):
         commands = super().general_commands()

model/provider/openai_official.py

@@ -78,6 +78,12 @@ class ProviderOpenAIOfficial(Provider):
 
         # 人格
         self.curr_personality = {}
+        
+    def make_tmp_client(self, api_key: str, base_url: str):
+        return AsyncOpenAI(
+            api_key=api_key,
+            base_url=base_url
+        )
 
     # 转储历史记录
     def dump_history(self):