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Remove url prefix pt 2 (#5014)

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* Migrate the non blog posts to use no domain

* Update demo links

* Remove Zanzito references from owntracks docs
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Paulus Schoutsen 2018-03-24 22:14:34 -07:00 • committed by GitHub
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2
source/_addons/configurator.markdown
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@ -65,7 +65,7 @@ Screenshot of the HASS Configurator.
### {% linkable_title Embedding into Home-Assistant %}
Using the Home Assistant component [panel_iframe](https://home-assistant.io/components/panel_iframe/) it is possible to embed the configurator directly into Home Assistant, allowing you to modify your configuration from within the Home Assistant frontend.
Using the Home Assistant component [panel_iframe](/components/panel_iframe/) it is possible to embed the configurator directly into Home Assistant, allowing you to modify your configuration from within the Home Assistant frontend.
An example configuration would look like this:

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source/_addons/google_assistant.markdown
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@ -11,7 +11,7 @@ featured: true
---
<p class='note'>
If you want to integrate your Google Home, or mobile phone running Google Assistant, with Home Assistant, then you want the [Google Assistant component](https://home-assistant.io/components/google_assistant/).
If you want to integrate your Google Home, or mobile phone running Google Assistant, with Home Assistant, then you want the [Google Assistant component](/components/google_assistant/).
</p>
[Google Assistant][GoogleAssistant] is an AI-powered voice assistant that runs on the Raspberry Pi and x86 platforms and interact via the [DialogFlow][comp] integration with Home-Assistant. You can also use [Google Actions][GoogleActions] to extend its functionality.
@ -66,7 +66,7 @@ Configuration example that uses the USB microphone and the built-in headset audi
Configuration variables:
- **mic**: This is the hardware address of your microphone. Look at the add-on output
- **mic**: This is the hardware address of your microphone. Look at the add-on output
- **speaker**: This is the hardware address of your speakers. Look at the add-on output
### {% linkable_title Home Assistant configuration %}

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source/_addons/tellstick.markdown
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@ -19,9 +19,9 @@ After any changes have been made to the configuration, you need to restart the a
Configuration variables:
- **id** (*Required*): A number and must be unique for each device.
- **name** (*Required*): A name for easy identification of the device.
- **protocol** (*Required*): This is the protocol the device uses. More on the different protocols later down.
- **id** (*Required*): A number and must be unique for each device.
- **name** (*Required*): A name for easy identification of the device.
- **protocol** (*Required*): This is the protocol the device uses. More on the different protocols later down.
- **model** (*Optional*): The model parameter is only used by some protocols where there exists different types of devices using the same protocol. This can be dimmers versus non-dimmers, codeswitch versus self-learning, etc.
- **house** (*Optional*): Depending on protocol the values here can vary a lot to identify or group per house or type.
- **unit** (*Optional*): Unit identifier, in most cases a value between 1 to 16 and often used in combination with the house.
@ -37,10 +37,10 @@ You will need to add internal communication details to `configuration.yaml` to e
tellstick:
host: core-tellstick
port: [50800, 50801]
```
To add [lights](https://home-assistant.io/components/light.tellstick/), [sensors](https://home-assistant.io/components/sensor.tellstick/) and [switches](https://home-assistant.io/components/switch.tellstick/) you follow the guidelines for each type individually that is [described for Home Assistant](https://home-assistant.io/components/tellstick/)
To add [lights](/components/light.tellstick/), [sensors](/components/sensor.tellstick/) and [switches](/components/switch.tellstick/) you follow the guidelines for each type individually that is [described for Home Assistant](/components/tellstick/)
The add-on will also enable you to interact with the `tdtool` via a Home Assistant services call, see example below for self-learning device.