33bde48c9c
* Add AI Task integration * Remove GenTextTaskType * Add AI Task prefs * Add action to LLM task * Remove WS command * Rename result to text for GenTextTaskResult * Apply suggestions from code review Co-authored-by: Allen Porter <allen.porter@gmail.com> * Add supported feature for generate text * Update const.py Co-authored-by: HarvsG <11440490+HarvsG@users.noreply.github.com> * Update homeassistant/components/ai_task/services.yaml Co-authored-by: HarvsG <11440490+HarvsG@users.noreply.github.com> * Use WS API to set preferences * Simplify pref storage * Simplify pref test * Update homeassistant/components/ai_task/services.yaml Co-authored-by: Allen Porter <allen.porter@gmail.com> --------- Co-authored-by: Allen Porter <allen.porter@gmail.com> Co-authored-by: HarvsG <11440490+HarvsG@users.noreply.github.com>
72 lines
1.8 KiB
Python
72 lines
1.8 KiB
Python
"""AI tasks to be handled by agents."""
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from __future__ import annotations
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from dataclasses import dataclass
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from homeassistant.core import HomeAssistant
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from .const import DATA_COMPONENT, DATA_PREFERENCES, AITaskEntityFeature
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async def async_generate_text(
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hass: HomeAssistant,
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*,
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task_name: str,
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entity_id: str | None = None,
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instructions: str,
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) -> GenTextTaskResult:
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"""Run a task in the AI Task integration."""
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if entity_id is None:
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entity_id = hass.data[DATA_PREFERENCES].gen_text_entity_id
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if entity_id is None:
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raise ValueError("No entity_id provided and no preferred entity set")
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entity = hass.data[DATA_COMPONENT].get_entity(entity_id)
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if entity is None:
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raise ValueError(f"AI Task entity {entity_id} not found")
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if AITaskEntityFeature.GENERATE_TEXT not in entity.supported_features:
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raise ValueError(f"AI Task entity {entity_id} does not support generating text")
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return await entity.internal_async_generate_text(
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GenTextTask(
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name=task_name,
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instructions=instructions,
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)
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)
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@dataclass(slots=True)
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class GenTextTask:
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"""Gen text task to be processed."""
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name: str
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"""Name of the task."""
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instructions: str
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"""Instructions on what needs to be done."""
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def __str__(self) -> str:
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"""Return task as a string."""
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return f"<GenTextTask {self.name}: {id(self)}>"
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@dataclass(slots=True)
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class GenTextTaskResult:
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"""Result of gen text task."""
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conversation_id: str
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"""Unique identifier for the conversation."""
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text: str
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"""Generated text."""
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def as_dict(self) -> dict[str, str]:
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"""Return result as a dict."""
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return {
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"conversation_id": self.conversation_id,
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"text": self.text,
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}
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