use structlog instead of loguru

src/llm_models/utils_model.py

@@ -1,11 +1,12 @@
 import asyncio
 import json
 import re
+import sys
 from datetime import datetime
 from typing import Tuple, Union, Dict, Any
 import aiohttp
 from aiohttp.client import ClientResponse
-from src.common.logger import get_module_logger
+from src.common.logger import get_logger
 import base64
 from PIL import Image
 import io
@@ -18,7 +19,7 @@ from rich.traceback import install
 
 install(extra_lines=3)
 
-logger = get_module_logger("model_utils")
+logger = get_logger("model_utils")
 
 
 class PayLoadTooLargeError(Exception):
@@ -115,6 +116,8 @@ class LLMRequest:
             logger.error(f"原始 model dict 信息：{model}")
             logger.error(f"配置错误：找不到对应的配置项 - {str(e)}")
             raise ValueError(f"配置错误：找不到对应的配置项 - {str(e)}") from e
+        except KeyError as e:
+            logger.warn(f"找不到{model['provider']}_KEY或{model['provider']}_BASE_URL环境变量，请检查配置文件或环境变量设置。")
         self.model_name: str = model["name"]
         self.params = kwargs
 
@@ -885,7 +888,7 @@ def compress_base64_image_by_scale(base64_data: str, target_size: int = 0.8 * 10
 
         # 获取压缩后的数据并转换为base64
         compressed_data = output_buffer.getvalue()
-        logger.success(f"压缩图片: {original_width}x{original_height} -> {new_width}x{new_height}")
+        logger.info(f"压缩图片: {original_width}x{original_height} -> {new_width}x{new_height}")
         logger.info(f"压缩前大小: {len(image_data) / 1024:.1f}KB, 压缩后大小: {len(compressed_data) / 1024:.1f}KB")
 
         return base64.b64encode(compressed_data).decode("utf-8")