How to Stream AI Agent Responses in 5 Min

Your agent calls three tools, thinks for 20 seconds, then dumps a wall of text. The user sees nothing until it's done. That's a broken experience. Here's how to stream agent responses -- both text tokens and tool call events -- so users see progress in real time. The Code import asyncio from agents import Agent , Runner , function_tool from openai.types.responses import ResponseTextDeltaEvent @function_tool def lookup_price ( ticker : str ) -> str : """ Look up the current price of a stock. """ prices = { " AAPL " : " $198.50 " , " GOOG " : " $176.30 " , " TSLA " : " $245.10 " } return prices . get ( ticker . upper (), f " No data for { ticker } " ) agent = Agent ( name = " StockAssistant " , instructions = " You help users check stock prices. Use the lookup_price tool. " , tools = [ lookup_price ], ) async def main (): result = Runner . run_streamed ( agent , input = " What ' s the price of AAPL and GOOG? " ) async for event in result . stream_events (): if event . type == " raw_respo