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Document AI task (#2717)
Co-authored-by: Allen Porter <allen@thebends.org> Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
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docs/core/entity/ai-task.md
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docs/core/entity/ai-task.md
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---
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title: AI Task entity
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sidebar_label: AI Task
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---
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An AI Task entity provides a framework for AI-powered task execution in Home Assistant. It enables integrations to offer AI capabilities for generating data, content, or performing structured tasks based on natural language instructions.
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A AI Task entity is derived from the [`homeassistant.components.ai_task.AITaskEntity`](https://github.com/home-assistant/core/blob/dev/homeassistant/components/ai_task/entity.py). The entity state tracks the timestamp of the last activity for monitoring purposes.
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## Properties
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_This entity has no properties._
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## Supported features
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Supported features are defined by using values in the `AITaskEntityFeature` enum and are combined using the bitwise or (`|`) operator.
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| Value | Description
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| ----- | -----------
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| `GENERATE_DATA` | The entity can generate data based on natural language instructions.
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## Methods
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### Generate Data
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This method handles data generation tasks based on natural language instructions.
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```python
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from homeassistant.components.ai_task import AITaskEntity, GenDataTask, GenDataTaskResult
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class MyAITaskEntity(AITaskEntity):
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"""Represent an AI Task entity."""
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async def _async_generate_data(
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self, task: GenDataTask, chat_log: ChatLog
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) -> GenDataTaskResult:
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"""Handle a generate data task."""
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# Process the task instructions and generate appropriate data
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# Use the chat_log to maintain conversation context. A common
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# pattern is to share an implementation between conversation and AI
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# task entities to process the chat log.
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# await self._async_handle_chat_log(
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# chat_log,
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# task.structure,
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# task.attachments
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# )
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text = ...
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if not task.structure:
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return GenDataTaskResult(
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conversation_id=chat_log.conversation_id,
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data=text
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)
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data = ... # process the text to match the structure
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return GenDataTaskResult(
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conversation_id=chat_log.conversation_id,
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data=data
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)
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```
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A `GenDataTask` object contains the following data:
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| Name | Type | Description
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| ---- | ---- | -----------
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| `task_name` | `str` | Name/identifier for the task
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| `instructions` | `str` | Natural language instructions for the AI
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| `structure` | `vol.Schema` \| `None` | Optional schema for structured output validation
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| `attachments` | `list[PlayMediaWithId]` | List of attachments to include in the task.
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## Structured Output Schema
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The `structure` parameter allows you to define the expected format of the generated data using Home Assistant's [selector system](https://www.home-assistant.io/docs/blueprint/selectors/):
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```python
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{
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"yes_no_field": {
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"description": "Description of the field",
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"required": True/False, # Optional, defaults to False
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"selector": {
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"boolean": {} # Selector type
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}
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},
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"text_field": {
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"description": "Description of the text field",
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"required": True/False, # Optional, defaults to False
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"selector": {
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"text": {} # Selector type
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}
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},
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"number_field": {
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"description": "Description of the number field",
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"required": True/False, # Optional, defaults to False
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"selector": {
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"number": {
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"min": 18, # Optional minimum value
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"max": 100, # Optional maximum value
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}
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}
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},
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}
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```
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