增加对错误信息的建议解决方案

azure.py

@@ -33,7 +33,7 @@ nekocmd = on_alconna(
     )
 model_name = config.marshoai_default_model
 context = MarshoContext()
-context_limit = 15
+context_limit = 50
 
 
 
@@ -140,7 +140,7 @@ async def neko(
              #await UniMessage(f"""  剩余token：{remaining_tokens}"""
                #      ).send()
         except Exception as e:
-            await UniMessage(str(e)).send()
+            await UniMessage(str(e)+suggest_solution(str(e))).send()
            # await UniMessage(str(e.reason)).send()
             traceback.print_exc()
             return

util.py

@@ -64,3 +64,16 @@ def get_prompt():
     marsho_prompt = config.marshoai_prompt
     spell = SystemMessage(content=marsho_prompt+prompts)
     return spell
+
+def suggest_solution(errinfo: str):
+    suggestion = ""
+    if "content_filter" in errinfo:
+        suggestion = "消息已被内容过滤器过滤。请调整聊天内容后重试。"
+    elif "RateLimitReached" in errinfo:
+        suggestion = "模型达到调用速率限制。请稍等一段时间或联系Bot管理员。"
+    elif "tokens_limit_reached" in errinfo:
+        suggestion = "请求token达到上限。请重置上下文。"
+    if suggestion != "":
+        return "\n"+suggestion
+    else:
+        return suggestion