87 lines
2.9 KiB
Python
87 lines
2.9 KiB
Python
"""Conversation support for OpenAI."""
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from typing import Literal
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from homeassistant.components import conversation
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from homeassistant.config_entries import ConfigSubentry
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from homeassistant.const import CONF_LLM_HASS_API, MATCH_ALL
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from homeassistant.core import HomeAssistant
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from homeassistant.helpers.entity_platform import AddConfigEntryEntitiesCallback
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from . import OpenAIConfigEntry
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from .const import CONF_PROMPT, DOMAIN
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from .entity import OpenAIBaseLLMEntity
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# Max number of back and forth with the LLM to generate a response
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async def async_setup_entry(
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hass: HomeAssistant,
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config_entry: OpenAIConfigEntry,
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async_add_entities: AddConfigEntryEntitiesCallback,
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) -> None:
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"""Set up conversation entities."""
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for subentry in config_entry.subentries.values():
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if subentry.subentry_type != "conversation":
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continue
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async_add_entities(
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[OpenAIConversationEntity(config_entry, subentry)],
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config_subentry_id=subentry.subentry_id,
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)
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class OpenAIConversationEntity(
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conversation.ConversationEntity,
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conversation.AbstractConversationAgent,
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OpenAIBaseLLMEntity,
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):
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"""OpenAI conversation agent."""
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_attr_supports_streaming = True
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def __init__(self, entry: OpenAIConfigEntry, subentry: ConfigSubentry) -> None:
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"""Initialize the agent."""
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super().__init__(entry, subentry)
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if self.subentry.data.get(CONF_LLM_HASS_API):
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self._attr_supported_features = (
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conversation.ConversationEntityFeature.CONTROL
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)
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@property
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def supported_languages(self) -> list[str] | Literal["*"]:
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"""Return a list of supported languages."""
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return MATCH_ALL
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async def async_added_to_hass(self) -> None:
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"""When entity is added to Home Assistant."""
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await super().async_added_to_hass()
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conversation.async_set_agent(self.hass, self.entry, self)
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async def async_will_remove_from_hass(self) -> None:
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"""When entity will be removed from Home Assistant."""
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conversation.async_unset_agent(self.hass, self.entry)
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await super().async_will_remove_from_hass()
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async def _async_handle_message(
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self,
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user_input: conversation.ConversationInput,
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chat_log: conversation.ChatLog,
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) -> conversation.ConversationResult:
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"""Process the user input and call the API."""
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options = self.subentry.data
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try:
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await chat_log.async_provide_llm_data(
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user_input.as_llm_context(DOMAIN),
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options.get(CONF_LLM_HASS_API),
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options.get(CONF_PROMPT),
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user_input.extra_system_prompt,
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)
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except conversation.ConverseError as err:
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return err.as_conversation_result()
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await self._async_handle_chat_log(chat_log)
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return conversation.async_get_result_from_chat_log(user_input, chat_log)
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