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Aqara WS-EUK02 in Home Assistant
Wall switches · Zigbee · Smart wall switch H1 EU (no neutral, double rocker)
Zigbee2MQTT
Quirk included in ZHA
1 open report
This device is known to both Zigbee integrations: Zigbee2MQTT has a definition for it, and ZHA has a quirk that adapts it.
We have a detailed page on this device with compatibility ratings and prices.
Details and compatibility
Facts about this device
- Brand
- Aqara
- Model
- WS-EUK02
- Device type
- Wall switches
- Radio
- Zigbee
- Power
- Mains powered
- Reports itself as
- lumi.switch.l2aeu1
- Zigbee2MQTT
- Device page on zigbee2mqtt.io
Where to buy
€ 41.72
ab Lager - Lieferzeit 1-3 Werktage
How the device gets into Home Assistant
- official ZHA – with a Zigbee coordinator and the ZHA integration; the quirk the device needs is part of ZHA.
- official Aqara hub – paired with an Aqara hub that works as a Matter bridge (such as the M3 or M2), which shares supported devices with Home Assistant.
- add-on Zigbee2MQTT – Zigbee2MQTT runs as an add-on and passes the device on to Home Assistant over MQTT.
Known problems and fixes
Requests for ZHA support
- support requested Someone asked ZHA to support this device or one of its functions.
Changes proposed for ZHA
- pull request A change to ZHA for this device has been proposed and is waiting for review.
- pull request A change to ZHA for this device has been proposed and is waiting for review.
ZHA quirks for this device
Quirk included in ZHA Recommended quirk
Part of ZHA – Home Assistant uses it on its own, nothing to install.
Source:
zha-device-handlers · since zha-quirks 2.2.2
Signature: LUMI / lumi.switch.l2aeu1
1 more quirk for this device
-
Custom quirk shared in an issue
LUMI/lumi.switch.l2aeu1zha-device-handlers · issue #4734 · by @jrfigura · March 14, 2026
Sources: Zigbee2MQTT, ZHA quirks, Z-Wave JS, the Matter certification database, Shelly, ESPHome, Tasmota, Tuya Local and the issue trackers on GitHub. Reports are assigned to a device by the identifiers they contain; the sentences come from the integration pages, where a language model writes them from the titles.