* perf: cut per-instance CPU cost of shared socket.io Redis pub/sub channel
Profiling a multi-instance deployment (py-spy --gil) showed ~44% of worker
CPU in the socket.io pub/sub listener. Two causes, two fixes:
- Add hiredis so redis-py parses the RESP protocol in C instead of pure
Python (redis/_parsers/resp3.py alone accounted for ~28% of GIL samples;
redis-py auto-selects the hiredis parser when importable).
- Subclass AsyncRedisManager to drop emits whose target room has no local
participants before upstream _handle_emit re-encodes the full packet.
Every instance receives every emit published on the shared channel, so
with N instances all but the hosting one were paying full packet
re-serialization per message just to deliver it to nobody. Broadcasts
(room=None) are unaffected.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Q9CQ9qnp3sZGYQQwztsCJT
* fix: restrict pub/sub emit early-out to string rooms
Adversarial review against python-socketio 5.16.2 found one divergence
from upstream: for a degenerate empty-sequence room (emit to room=[]) on
an instance whose namespace has no local clients, the filter's
get_participants probe raises IndexError from room[0] where upstream
returns silently at the namespace guard and still publishes to Redis.
Open WebUI only ever emits to scalar string rooms or room=None, so the
case is unreachable today; guard on isinstance(room, str) anyway so any
non-string room shape passes through to upstream behavior unchanged.
Every open-webui emit uses a string room, so the fast path still covers
all real traffic.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Q9CQ9qnp3sZGYQQwztsCJT
* Update requirements.txt
* Update pyproject.toml
* Update requirements-min.txt
---------
Co-authored-by: Claude <noreply@anthropic.com>
