AI Agent Streaming Response 2026

๐Ÿ“˜ Tutorials 2026-07-16 1 min read

When an Agent takes more than 10 seconds to complete a task, users are left staring at the screen, which is a poor experience. Streaming responses allow the Agent to output intermediate results while thinking, greatly improving the user experience.

💡 What You Will Learn

When an Agent takes more than 10 seconds to complete a task, users are left staring at the screen, which is a poor experience. Streaming responses allow the Agent to output intermediate results while

from fastapi import FastAPI
from sse_starlette.sse import EventSourceResponse

app = FastAPI()

@app.get("/agent/chat")
async def chat(message: str):
    async def event_stream():
        yield {"data": "..."}
        result1 = await call_tool_1()
        yield {"data": f"{result1}"}
        result2 = await call_tool_2(result1)
        yield {"data": f"{result2}"}
    return EventSourceResponse(event_stream())

Summary

Related Articles
2026-07-19
AI Agent Enterprise Use Cases: How Big Companies Use AI
2026-08-12
Langflow Tutorial RAG 2026: Document Question Answering With Visual Nodes
2026-07-19
AI Agent Fault Tolerance: Keep Running When Things Fail

Written by our editorial team; tools listed here are tested or verified against public sources. Links point to official sites or GitHub repos for reference only โ€” no paid placements.

๐Ÿ’ฌ Comments (0)

No comments yet. Be the first!

Login to comment