Add MaxTokensWarningFilter to logging and set semaphore for LLM requests

- Introduced MaxTokensWarningFilter to suppress specific warnings related to max_tokens in the logging output across simulation scripts.
- Added a semaphore parameter to limit the maximum concurrent LLM requests in Twitter and Reddit simulation functions, preventing API overload.
- Ensured the filter is applied immediately upon module loading for effective logging management.

backend/scripts/run_parallel_simulation.py

@@ -48,6 +48,20 @@ else:
         print(f"已加载环境配置: {_backend_env}")
 
 
+class MaxTokensWarningFilter(logging.Filter):
+    """过滤掉 camel-ai 关于 max_tokens 的警告（我们故意不设置 max_tokens，让模型自行决定）"""
+    
+    def filter(self, record):
+        # 过滤掉包含 max_tokens 警告的日志
+        if "max_tokens" in record.getMessage() and "Invalid or missing" in record.getMessage():
+            return False
+        return True
+
+
+# 在模块加载时立即添加过滤器，确保在 camel 代码执行前生效
+logging.getLogger().addFilter(MaxTokensWarningFilter())
+
+
 def disable_oasis_logging():
     """
     禁用 OASIS 库的详细日志输出
@@ -385,6 +399,7 @@ async def run_twitter_simulation(
         agent_graph=agent_graph,
         platform=oasis.DefaultPlatformType.TWITTER,
         database_path=db_path,
+        semaphore=30,  # 限制最大并发 LLM 请求数，防止 API 过载
     )
     
     await env.reset()
@@ -528,6 +543,7 @@ async def run_reddit_simulation(
         agent_graph=agent_graph,
         platform=oasis.DefaultPlatformType.REDDIT,
         database_path=db_path,
+        semaphore=30,  # 限制最大并发 LLM 请求数，防止 API 过载
     )
     
     await env.reset()