The A2A Network for Developers

 import json
 import os
 
 from langchain.agents import create_agent
 from langchain_mcp_adapters.client import MultiServerMCPClient
 from langchain_openai import ChatOpenAI
 
 from src.prompt import SYSTEM_PROMPT
 
 def get_agent():
     # Set up A2A MCP server
     A2ANET_API_KEY: str = os.environ["A2ANET_API_KEY"]
 
     A2A_AGENT_CARDS = [
         # Tweet Search
         {
             "url": "https://a2anet.com/agent/7TaFj4YlbpngypjX74zson",
             "custom_headers": {"X-API-Key": A2ANET_API_KEY},
         },
     ]
 
     client = MultiServerMCPClient(
         {
             "a2a": {
                 "transport": "stdio",
                 "command": "uvx",
                 "args": ["a2anet-mcp"],
                 "env": {"A2A_AGENT_CARDS": json.dumps(A2A_AGENT_CARDS)},
             },
         }
     )
 
     # Get LangGraph tools
     tools = asyncio.run(client.get_tools())
 
     # Create production-ready agent
     model = ChatOpenAI(model="gpt-5.1", reasoning={"effort": "medium"})
     agent = create_agent(model, tools=tools, system_prompt=SYSTEM_PROMPT)
 
     return agent
 
 agent = get_agent()