Observe AgentOS run responses without private response classes
This middleware captures non-streaming JSON bodies and streaming SSE content for ``POST .../runs`` requests carrying ``X-APP-UUID``.
This middleware captures non-streaming JSON bodies and streaming SSE content for POST .../runs requests carrying X-APP-UUID. A public ASGI send wrapper observes response body frames without rebuilding the response, so no private Starlette response import or type check is needed.
"""
Observe AgentOS run responses without private response classes
==============================================================
This middleware captures non-streaming JSON bodies and streaming SSE content
for ``POST .../runs`` requests carrying ``X-APP-UUID``. A public ASGI ``send``
wrapper observes response body frames without rebuilding the response, so no
private Starlette response import or type check is needed.
Prerequisites: OPENAI_API_KEY
Run: .venvs/demo/bin/python cookbook/05_agent_os/06_customize/response_middleware.py
Try: Run this file with --demo in another terminal
"""
import argparse
import json
from typing import Any
import httpx
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.os import AgentOS
from starlette.types import ASGIApp, Message, Receive, Scope, Send
# ---------------------------------------------------------------------------
# Create Response Middleware
# ---------------------------------------------------------------------------
BASE_URL = "http://localhost:7777"
AGENT_ID = "response-middleware-agent"
def event_content(event_text: str) -> str:
"""Extract RunContent text from one complete SSE event."""
content_parts: list[str] = []
for line in event_text.splitlines():
if not line.startswith("data: "):
continue
try:
data = json.loads(line[6:])
except json.JSONDecodeError:
continue
if data.get("event") == "RunContent" and data.get("content"):
content_parts.append(str(data["content"]))
return "".join(content_parts)
class ContentCaptureMiddleware:
"""Observe response body frames while forwarding the original ASGI messages."""
def __init__(self, app: ASGIApp) -> None:
self.app = app
async def __call__(
self,
scope: Scope,
receive: Receive,
send: Send,
) -> None:
"""Capture only run endpoints explicitly correlated by a request header."""
if scope["type"] != "http":
await self.app(scope, receive, send)
return
request_headers = dict(scope.get("headers") or [])
app_uuid_bytes = request_headers.get(b"x-app-uuid")
is_run_request = scope.get("method") == "POST" and str(
scope.get("path", "")
).endswith("/runs")
if not app_uuid_bytes or not is_run_request:
await self.app(scope, receive, send)
return
app_uuid = app_uuid_bytes.decode("utf-8")
body = bytearray()
streaming = False
notified = False
async def capture_send(message: Message) -> None:
nonlocal notified, streaming
if message["type"] == "http.response.start":
response_headers = list(message.get("headers") or [])
content_type = ""
for name, value in response_headers:
if name.lower() == b"content-type":
content_type = value.decode("latin-1")
break
streaming = content_type.startswith("text/event-stream")
response_headers.append((b"x-content-capture", b"enabled"))
message = {**message, "headers": response_headers}
if message["type"] == "http.response.body":
body.extend(message.get("body", b""))
stream_finished = streaming and b"event: RunCompleted" in body
response_finished = not message.get("more_body", False)
if not notified and (stream_finished or response_finished):
self.notify_from_body(
app_uuid=app_uuid,
body=bytes(body),
streaming=streaming,
)
notified = True
await send(message)
await self.app(scope, receive, capture_send)
@classmethod
def notify_from_body(
cls,
app_uuid: str,
body: bytes,
streaming: bool,
) -> None:
"""Extract captured content and pass it to the notification stand-in."""
text = body.decode("utf-8")
if streaming:
captured_content = "".join(
event_content(event_text) for event_text in text.split("\n\n")
)
else:
try:
payload: Any = json.loads(text)
captured_content = str(payload.get("content", payload))
except (json.JSONDecodeError, AttributeError):
captured_content = text
cls.send_notification(
app_uuid=app_uuid,
content=captured_content,
streaming=streaming,
)
@staticmethod
def send_notification(
app_uuid: str,
content: str,
streaming: bool,
) -> None:
"""Stand in for a notification integration after capture completes."""
mode = "streaming" if streaming else "non-streaming"
print(f"Notification app={app_uuid} mode={mode} content={content}")
# ---------------------------------------------------------------------------
# Create Response-Aware AgentOS
# ---------------------------------------------------------------------------
db = SqliteDb(
id="response-middleware-db",
db_file="tmp/agent_os_response_middleware.db",
)
response_agent = Agent(
id=AGENT_ID,
name="Response Middleware Agent",
model=OpenAIResponses(id="gpt-5.5"),
db=db,
instructions="Answer in one short sentence.",
)
agent_os = AgentOS(
id="response-middleware-os",
db=db,
agents=[response_agent],
)
app = agent_os.get_app()
app.add_middleware(ContentCaptureMiddleware)
def run_demo() -> None:
"""Exercise both response shapes through the checked-in middleware."""
headers = {"X-APP-UUID": "cookbook-app"}
with httpx.Client(base_url=BASE_URL, timeout=120.0) as client:
response = client.post(
f"/agents/{AGENT_ID}/runs",
headers=headers,
data={
"message": "Say that non-streaming capture works.",
"session_id": "response-middleware-json",
"stream": "false",
},
)
response.raise_for_status()
if response.headers.get("X-Content-Capture") != "enabled":
raise RuntimeError("Non-streaming response bypassed the middleware")
print(f"Non-streaming status: {response.json()['status']}")
with client.stream(
"POST",
f"/agents/{AGENT_ID}/runs",
headers=headers,
data={
"message": "Say that streaming capture works.",
"session_id": "response-middleware-sse",
"stream": "true",
},
) as stream_response:
stream_response.raise_for_status()
if stream_response.headers.get("X-Content-Capture") != "enabled":
raise RuntimeError("Streaming response bypassed the middleware")
event_count = sum(
1 for line in stream_response.iter_lines() if line.startswith("event: ")
)
if event_count == 0:
raise RuntimeError("The streaming response contained no SSE events")
print(f"Streaming events: {event_count}")
# ---------------------------------------------------------------------------
# Run Response-Aware AgentOS
# ---------------------------------------------------------------------------
if __name__ == "__main__":
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--demo",
action="store_true",
help="Run both HTTP clients against a server listening on port 7777.",
)
args = parser.parse_args()
if args.demo:
run_demo()
else:
agent_os.serve(app=app, port=7777)Wait for the complete response body
The archived substring check can mistake the words event: RunCompleted inside ordinary response text for a terminal event and notify with a truncated answer. Before running, remove the stream_finished = ... line. Change the condition if not notified and (stream_finished or response_finished): to if not notified and response_finished:, keeping its existing indented body.
The ASGI more_body=False boundary now triggers one notification after all body frames arrive. This captures the response body, including failed-run output; it does not certify that the run completed successfully. The streaming parser extracts Agent RunContent events; it does not extract Team or Workflow events. The example buffers the entire body in memory and uses a printing stand-in for notification delivery.
Run the Example
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U "agno[os]" openaiExport your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"Run the example
Save the code above as response_middleware.py, then run:
python response_middleware.pyFull source: cookbook/05_agent_os/06_customize/response_middleware.py