chore: import upstream snapshot with attribution

contrib/langchain-go-micro/examples/basic_agent.py

@@ -0,0 +1,49 @@
+"""Basic LangChain agent example using Go Micro services.
+
+This example shows how to create a simple LangChain agent that can
+interact with Go Micro services through the MCP gateway.
+"""
+
+from langchain_go_micro import GoMicroToolkit
+from langchain.agents import initialize_agent, AgentType
+from langchain_openai import ChatOpenAI
+
+
+def main():
+    """Run basic agent example."""
+    # Initialize toolkit from MCP gateway
+    print("Connecting to MCP gateway...")
+    toolkit = GoMicroToolkit.from_gateway("http://localhost:3000")
+    
+    # Get available tools
+    tools = toolkit.get_tools()
+    print(f"\nDiscovered {len(tools)} tools:")
+    for tool in tools:
+        print(f"  - {tool.name}: {tool.description}")
+    
+    # Create LangChain agent
+    print("\nCreating LangChain agent...")
+    llm = ChatOpenAI(model="gpt-4", temperature=0)
+    agent = initialize_agent(
+        tools,
+        llm,
+        agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
+        verbose=True
+    )
+    
+    # Example queries
+    queries = [
+        "Create a user named Alice with email alice@example.com",
+        "Get the user we just created",
+    ]
+    
+    for query in queries:
+        print(f"\n{'='*60}")
+        print(f"Query: {query}")
+        print('='*60)
+        result = agent.run(query)
+        print(f"\nResult: {result}")
+
+
+if __name__ == "__main__":
+    main()