Fork of balloon/ai-camera-analysis.yaml to support my use case

ai-camera-analysis.yaml

blueprint:
  name: AI camera analysis
  description: >-
    Analyze camera footage with AI when motion is detected and write it to the logbook.
  domain: automation
  author: Paulus Schoutsen
  input:
    motion_entity:
      name: Detection Sensor
      selector:
        entity:
          filter:
            domain: binary_sensor
    camera_target:
      name: Camera
      selector:
        entity:
          domain: camera
    ai_agent:
      name: AI Agent
      selector:
        entity:
          domain: ai_task
    extra_instructions:
      name: Extra Instructions
      description: >
        Additional instructions for the AI to consider when analyzing the camera footage.
        This can be used to specify what to look for in the footage.
      selector:
        text: null
      default: ""
    analysis_delay:
      name: Delay before analysis
      description: Time to wait before analyzing the camera after motion is detected.
      default: 5
      selector:
        number:
          min: 0
          max: 3600
          unit_of_measurement: seconds
    cooldown_time:
      name: Cooldown
      description: Time to wait between analyses.
      default: 60
      selector:
        number:
          min: 0
          max: 3600
          unit_of_measurement: seconds

mode: single
max_exceeded: silent

triggers:
  - trigger: state
    entity_id:
      - !input motion_entity
    from: "off"
    to: "on"

actions:
  - variables:
      camera_entity: !input camera_target
      extra_instructions: !input extra_instructions

  - delay:
      seconds: !input analysis_delay
  - alias: Analyse camera image
    action: ai_task.generate_data
    data:
      task_name: "{{ this.entity_id }}"
      entity_id: !input ai_agent
      instructions: >
        Give a 1 sentence analysis of what is happening on this camera picture. {{ extra_instructions }}
      structure:
        analysis:
          selector:
            text: null
      attachments:
        media_content_id: "media-source://camera/{{ camera_entity }}"
        media_content_type: ""
    response_variable: result
  - alias: Write analysis to logbook
    action: logbook.log
    data:
      entity_id: "{{ camera_entity }}"
      message: "analysis: {{ result.data.analysis }}"
      domain: ai_task
      name: "{{ states[camera_entity].name }}"
  - delay:
      seconds: !input cooldown_time