init

examples/basic_usage.py

@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 """
-Basic usage examples for the LangChain + LangGraph scaffolding
+LangChain + LangGraph 脚手架的基础用法示例
 """
 
 import sys
@@ -11,57 +11,72 @@ from workflows.workflow_manager import WorkflowManager, WorkflowType
 
 
 def example_conversation():
-    """Example of using the conversation workflow"""
+    """对话工作流示例"""
     print("=== Conversation Workflow Example ===")
     
+    # 使用 config.ini 中的默认模型
     manager = WorkflowManager()
     
-    # First message
+    # 第一条消息
     result1 = manager.execute_workflow(
         WorkflowType.CONVERSATION,
-        "Hello! Can you help me with some calculations?"
+        "你好，你能帮我做什么？"
     )
     
     print(f"Session ID: {result1['session_id']}")
     print(f"Response: {result1['result']['messages'][-1].content}")
     
-    # Second message in the same session
+    # 同一会话中的第二条消息
     result2 = manager.execute_workflow(
         WorkflowType.CONVERSATION,
-        "What can you help me with?",
+        "你的优势是什么？",
         session_id=result1['session_id']
     )
     
     print(f"Second response: {result2['result']['messages'][-1].content}")
-    print("\n")
+
+    # 使用不同模型的示例
+    # print("\n--- Using a different model (gpt-3.5-turbo) ---")
+    # try:
+    #     manager_alt_model = WorkflowManager(default_model_section='gpt-3.5-turbo')
+    #     result_alt = manager_alt_model.execute_workflow(
+    #         WorkflowType.CONVERSATION,
+    #         "Hi, what model are you?"
+    #     )
+    #     print(f"Response from gpt-3.5-turbo: {result_alt['result']['messages'][-1].content}")
+    # except ValueError as e:
+    #     print(f"Could not run alternate model example: {e}")
+    #     print("Please ensure you have a [gpt-3.5-turbo] section in your config.ini")
+    #
+    # print("\n")
 
 
 def example_tool_usage():
-    """Example of using the tool workflow"""
+    """工具工作流示例"""
     print("=== Tool Workflow Example ===")
     
     manager = WorkflowManager()
     
-    # Use calculator tool
+    # 使用计算器工具
     result = manager.execute_workflow(
         WorkflowType.TOOL_USING,
-        "Calculate 25 * 4 + 10"
+        "计算 25 * 4 + 10"
     )
     
     print(f"Session ID: {result['session_id']}")
     
-    # Extract tool messages and responses
+    # 提取工具消息与回复
     for message in result['result']['messages']:
         if hasattr(message, 'tool_calls') and message.tool_calls:
             print(f"Tool call: {message.tool_calls}")
-        elif hasattr(message, 'content'):
+        elif hasattr(message, 'content') and message.content:
             print(f"Response: {message.content}")
     
     print("\n")
 
 
 def list_available_workflows():
-    """List all available workflows"""
+    """列出可用工作流"""
     print("=== Available Workflows ===")
     
     manager = WorkflowManager()
@@ -74,14 +89,14 @@ def list_available_workflows():
 
 
 if __name__ == "__main__":
-    # Check if configuration is valid
+    # 检查配置是否有效
     try:
         from config import Config
         Config.validate_config()
         print("✅ Configuration is valid")
         print("\n")
         
-        # Run examples
+        # 运行示例
         list_available_workflows()
         example_conversation()
         example_tool_usage()
@@ -89,6 +104,6 @@ if __name__ == "__main__":
     except Exception as e:
         print(f"❌ Configuration error: {e}")
         print("\nPlease make sure to:")
-        print("1. Copy .env.example to .env")
-        print("2. Set your OPENAI_API_KEY in the .env file")
+        print("1. Copy 'config/config.ini.example' to 'config/config.ini'")
+        print("2. Set your API key in the 'config/config.ini' file")
         print("3. Install dependencies: pip install -r requirements.txt")