feat: 初始化 B2B AI Shopping Assistant 项目

- 配置 Docker Compose 多服务编排
- 实现 Chatwoot + Agent 集成
- 配置 Strapi MCP 知识库
- 支持 7 种语言的 FAQ 系统
- 实现 LangGraph AI 工作流

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

agent/utils/logger.py

@@ -0,0 +1,56 @@
+"""
+Logging utilities for B2B Shopping AI Assistant
+"""
+import logging
+import sys
+from typing import Optional
+
+import structlog
+from structlog.types import Processor
+
+
+def setup_logging(level: str = "INFO") -> None:
+    """Setup structured logging configuration"""
+    
+    # Configure standard library logging
+    logging.basicConfig(
+        format="%(message)s",
+        stream=sys.stdout,
+        level=getattr(logging, level.upper()),
+    )
+    
+    # Define processors for structlog
+    shared_processors: list[Processor] = [
+        structlog.contextvars.merge_contextvars,
+        structlog.processors.add_log_level,
+        structlog.processors.TimeStamper(fmt="iso"),
+        structlog.stdlib.PositionalArgumentsFormatter(),
+        structlog.processors.StackInfoRenderer(),
+        structlog.processors.UnicodeDecoder(),
+    ]
+    
+    # Configure structlog
+    structlog.configure(
+        processors=shared_processors + [
+            structlog.stdlib.ProcessorFormatter.wrap_for_formatter,
+        ],
+        logger_factory=structlog.stdlib.LoggerFactory(),
+        wrapper_class=structlog.stdlib.BoundLogger,
+        cache_logger_on_first_use=True,
+    )
+
+
+def get_logger(name: Optional[str] = None) -> structlog.stdlib.BoundLogger:
+    """Get a structured logger instance
+    
+    Args:
+        name: Logger name, defaults to module name
+        
+    Returns:
+        Configured structlog logger
+    """
+    return structlog.get_logger(name)
+
+
+# Create default logger
+logger = get_logger("agent")