home-assistant.io/source/_integrations/ai_task.markdown

title, description, ha_category, ha_release, ha_quality_scale, ha_domain, ha_codeowners, ha_integration_type

title	description	ha_category	ha_release	ha_quality_scale	ha_domain	ha_codeowners	ha_integration_type
AI Task	Instructions on how to setup AI task entities with Home Assistant.	AI	2025.7	internal	ai_task	@home-assistant/core	entity

The AI Task {% term integration %} allows you to use AI to help you configure Home Assistant.

{% include integrations/building_block_integration.md %}

For each task, you can set a preferred AI task entity. This allows you to use different AI models for different purposes, such as generating text, summarizing information, or even controlling devices. When the entity ID is omitted in the action, the preferred AI task entity will be used.

The state of an AI task entity

The {% term state %} of an AI task {% term entity %} is a timestamp showing the date and time when the AI task was last used.

Action ai_task.generate_data

Generates data using AI.

Data attribute	Optional	Description
task_name	no	String that identifies the type of text generation task (for example, "home summary", "alert notification").
instructions	no	String containing the specific instructions for the AI to follow when generating the text.
entity_id	yes	String that points at an entity_id of an LLM task entity. If not specified, uses the default LLM task.
structure	yes	Dictionary defining the structure of the output data. When set, the AI will return structured data with the specified fields. Each field can have a description, selector, and optional required property.
attachments	yes	List of attachments to include in the task. Each attachment is the output of the Media Selector.

The response variable is a dictionary with the following keys:

• data: The generated text or structured data (depending on whether structure is specified).
• conversation_id: The ID of the conversation used for the task.

Action ai_task.generate_image

Generates image using AI.

Data attribute	Optional	Description
task_name	no	String that identifies the type of image generation task (for example, "floor map", "weather visualization").
instructions	no	String containing the specific instructions for the AI to follow when generating the image.
entity_id	yes	String that points at an entity_id of an LLM task entity. If not specified, uses the default LLM task.
attachments	yes	List of attachments to include in the task. Each attachment is the output of the Media Selector.

The response variable is a dictionary with the following keys:

• media_source_id: The Media Source content ID of the generated image.
• url: The URL of the generated image, without the host part. The URL is only valid for one hour.
• revised_prompt: Some models would overwrite the instructions to add more details or context. This is the actual prompt used by the image model.
• model: The image model that was used for the image generation.
• mime_type: The MIME type of the image.
• width: The image width.
• height: The image height.
• conversation_id: The ID of the conversation used for the task.

The image will also be saved in the first media directory and will be browsable with the Media Source integration.

File Naming Convention:

• Format: {date}_{time}_{sanitized_task_name}.{ext}
• Example: 2025-01-19_123456_home-security-camera.png

Examples

Template entity counting items on a camera

{% raw %}

template:
  - triggers:
      - trigger: homeassistant
        event: start
      - trigger: time_pattern
        minutes: "/5"  # update every 5 minutes
    actions:
      - action: ai_task.generate_data
        data:
          task_name: "{{ this.entity_id }}"
          instructions: >-
            This is the inside of my goose coop. How many birds (chickens, geese, and
            ducks) are inside the coop?
          structure:
            birds:
              selector:
                number:
          attachments:
            media_content_id: media-source://camera/camera.chicken_coop
            media_content_type: image/jpeg
        response_variable: result
    sensor:
      - name: "Chickens"
        state: "{{ result.data.birds }}"
        state_class: total

{% endraw %}

Alternative ideas: detect number of parking spots available, count people in a room, or detect if a door is open.

Structured output example

{% raw %}

# Example: Generate weather and indoor comfort report
script:
- alias: "Weather and comfort report"
  sequence:
    - action: ai_task.generate_data
      data:
        task_name: "weather comfort report"
        instructions: |
          Based on the current conditions:
          - Outdoor temperature: {{ states('sensor.outdoor_temperature') }}°C
          - Weather condition: {{ states('weather.home') }}
          - Indoor temperature: {{ states('sensor.living_room_temperature') }}°C
          - Indoor humidity: {{ states('sensor.living_room_humidity') }}%

          Generate a funny weather description and assess indoor comfort level.
        structure:
          weather_description:
            description: "A humorous description of the current weather outside"
            required: true
            selector:
              text:
          indoor_comfort:
            description: "Assessment of how comfortable it is inside compared to outside"
            required: true
            selector:
              text:
      response_variable: comfort_report
    - action: notify.persistent_notification
      data:
        title: "🏠 Home climate report"
        message: |
          🌤️ **Weather outside:**
          {{ comfort_report.data.weather_description }}

          🛋️ **Indoor comfort:**
          {{ comfort_report.data.indoor_comfort }}

{% endraw %}

Simple text generation example

{% raw %}

# Example: Generate a notification when garage door is left open
automation:
- alias: "Garage door notification"
  triggers:
    - trigger: state
      entity_id: cover.garage_door
      to: 'on'
      for:
        minutes: 10
  actions:
    - action: ai_task.generate_data
      data:
        task_name: "garage door left open comment"
        instructions: "Generate a funny notification that garage door was left open"
      response_variable: generated_text
    - action: notify.persistent_notification
      data:
        message: "{{ generated_text.data }}"

{% endraw %}

Weather visualization example

{% raw %}

# Example: Up-to date weather image
automation:
  - alias: "Update image when weather changes"
    triggers:
      - trigger: state
        entity_id: weather.home
    actions:
      - alias: "Generate an image with AI Task"
        action: ai_task.generate_image
        response_variable: generated_image
        data:
          task_name: weather visualization
          instructions: >-
            New York when the weather is {{ states("weather.home") }}

      - alias: "Send out a manual event to update the image entity"
        event: new_weather_image
        event_data:
          url: '{{ generated_image.url }}'

template:
  - trigger:
      - alias: "Update image when a new weather image is generated"
        trigger: event
        event_type: new_weather_image
    image:
      - name: "AI generated image of New York"
        url: "http://localhost:8123{{ trigger.event.data.url }}"

{% endraw %}