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5 Commits
Author SHA1 Message Date
SMKRV 976f4f16a3 translation fixes 2024-11-19 16:40:56 +03:00
SMKRV 2bdef2b494 Main changes:
Created global SSL_CONTEXT at module level
Removed blocking create_default_context calls from async functions
Optimized aiohttp.ClientSession handling:
Using single connector with SSL context
Session is created once for all requests in validate_api_connection
Improved resource management:
Automatic session closure using context managers
More efficient connection handling
These changes should eliminate the blocking call warning and improve
overall code performance.
2024-11-19 16:33:30 +03:00
SMKRV 42324a793b bufix 2024-11-19 16:25:44 +03:00
SMKRV 30aa894634 Release v1.0.6 2024-11-19 15:10:06 +03:00
SMKRV 398b2550a9 Release v1.0.5 2024-11-19 14:46:12 +03:00
7 changed files with 206 additions and 448 deletions
+23 -8
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@@ -7,12 +7,27 @@ from homeassistant.const import CONF_API_KEY
from homeassistant.core import HomeAssistant from homeassistant.core import HomeAssistant
from homeassistant.exceptions import ConfigEntryNotReady from homeassistant.exceptions import ConfigEntryNotReady
from homeassistant.helpers import aiohttp_client from homeassistant.helpers import aiohttp_client
from homeassistant.helpers import config_validation as cv
from .const import DOMAIN, PLATFORMS from .const import (
from .coordinator import HATextAICoordinator DOMAIN,
PLATFORMS,
CONF_MODEL,
CONF_TEMPERATURE,
CONF_MAX_TOKENS,
CONF_API_ENDPOINT,
CONF_REQUEST_INTERVAL,
DEFAULT_MODEL,
DEFAULT_TEMPERATURE,
DEFAULT_MAX_TOKENS,
DEFAULT_API_ENDPOINT,
DEFAULT_REQUEST_INTERVAL,
)
_LOGGER = logging.getLogger(__name__) _LOGGER = logging.getLogger(__name__)
CONFIG_SCHEMA = cv.config_entry_only_config_schema(DOMAIN)
async def async_setup(hass: HomeAssistant, config: dict[str, Any]) -> bool: async def async_setup(hass: HomeAssistant, config: dict[str, Any]) -> bool:
"""Set up the HA Text AI component.""" """Set up the HA Text AI component."""
hass.data.setdefault(DOMAIN, {}) hass.data.setdefault(DOMAIN, {})
@@ -26,11 +41,11 @@ async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
coordinator = HATextAICoordinator( coordinator = HATextAICoordinator(
hass, hass,
api_key=entry.data[CONF_API_KEY], api_key=entry.data[CONF_API_KEY],
endpoint=entry.data.get("api_endpoint", "https://api.openai.com/v1"), endpoint=entry.data.get(CONF_API_ENDPOINT, DEFAULT_API_ENDPOINT),
model=entry.data.get("model", "gpt-3.5-turbo"), model=entry.data.get(CONF_MODEL, DEFAULT_MODEL),
temperature=entry.data.get("temperature", 0.7), temperature=entry.data.get(CONF_TEMPERATURE, DEFAULT_TEMPERATURE),
max_tokens=entry.data.get("max_tokens", 1000), max_tokens=entry.data.get(CONF_MAX_TOKENS, DEFAULT_MAX_TOKENS),
request_interval=entry.data.get("request_interval", 1.0), request_interval=entry.data.get(CONF_REQUEST_INTERVAL, DEFAULT_REQUEST_INTERVAL),
session=session, session=session,
) )
@@ -54,7 +69,7 @@ async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
_LOGGER.info( _LOGGER.info(
"Successfully set up HA Text AI with model: %s", "Successfully set up HA Text AI with model: %s",
entry.data.get("model", "gpt-3.5-turbo") entry.data.get(CONF_MODEL, DEFAULT_MODEL)
) )
return True return True
+75 -70
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@@ -32,6 +32,9 @@ from .const import (
import logging import logging
_LOGGER = logging.getLogger(__name__) _LOGGER = logging.getLogger(__name__)
# Create SSL context at module level
SSL_CONTEXT = ssl.create_default_context(cafile=certifi.where())
STEP_USER_DATA_SCHEMA = vol.Schema({ STEP_USER_DATA_SCHEMA = vol.Schema({
vol.Required(CONF_API_KEY): str, vol.Required(CONF_API_KEY): str,
vol.Optional(CONF_MODEL, default=DEFAULT_MODEL): str, vol.Optional(CONF_MODEL, default=DEFAULT_MODEL): str,
@@ -40,29 +43,22 @@ STEP_USER_DATA_SCHEMA = vol.Schema({
default=DEFAULT_TEMPERATURE default=DEFAULT_TEMPERATURE
): vol.All( ): vol.All(
vol.Coerce(float), vol.Coerce(float),
vol.Range(min=0, max=2), vol.Range(min=0, max=2)
msg="Temperature must be between 0 and 2"
), ),
vol.Optional( vol.Optional(
CONF_MAX_TOKENS, CONF_MAX_TOKENS,
default=DEFAULT_MAX_TOKENS default=DEFAULT_MAX_TOKENS
): vol.All( ): vol.All(
vol.Coerce(int), vol.Coerce(int),
vol.Range(min=1, max=4096), vol.Range(min=1, max=4096)
msg="Max tokens must be between 1 and 4096"
),
vol.Optional(CONF_API_ENDPOINT, default=DEFAULT_API_ENDPOINT): vol.All(
str,
vol.URL(),
msg="Must be a valid URL"
), ),
vol.Optional(CONF_API_ENDPOINT, default=DEFAULT_API_ENDPOINT): str,
vol.Optional( vol.Optional(
CONF_REQUEST_INTERVAL, CONF_REQUEST_INTERVAL,
default=DEFAULT_REQUEST_INTERVAL default=DEFAULT_REQUEST_INTERVAL
): vol.All( ): vol.All(
vol.Coerce(float), vol.Coerce(float),
vol.Range(min=0.1), vol.Range(min=0.1)
msg="Request interval must be at least 0.1 seconds"
), ),
}) })
@@ -73,10 +69,10 @@ async def validate_endpoint(endpoint: str) -> Tuple[bool, str]:
if parsed_url.scheme not in ('http', 'https'): if parsed_url.scheme not in ('http', 'https'):
return False, "invalid_endpoint_scheme" return False, "invalid_endpoint_scheme"
ssl_context = ssl.create_default_context(cafile=certifi.where()) connector = aiohttp.TCPConnector(ssl=SSL_CONTEXT)
async with timeout(5): async with timeout(5):
async with aiohttp.ClientSession() as session: async with aiohttp.ClientSession(connector=connector) as session:
async with session.get(endpoint, ssl=ssl_context) as response: async with session.get(endpoint) as response:
if response.status != 200: if response.status != 200:
return False, "endpoint_not_available" return False, "endpoint_not_available"
return True, "" return True, ""
@@ -92,71 +88,63 @@ async def validate_api_connection(
retry_delay: float = 1.0 retry_delay: float = 1.0
) -> Tuple[bool, str, list]: ) -> Tuple[bool, str, list]:
"""Validate API connection with improved retry logic.""" """Validate API connection with improved retry logic."""
ssl_context = ssl.create_default_context(cafile=certifi.where())
# Validate endpoint first # Validate endpoint first
endpoint_valid, endpoint_error = await validate_endpoint(endpoint) endpoint_valid, endpoint_error = await validate_endpoint(endpoint)
if not endpoint_valid: if not endpoint_valid:
return False, endpoint_error, [] return False, endpoint_error, []
for attempt in range(retry_count): connector = aiohttp.TCPConnector(ssl=SSL_CONTEXT)
try: async with aiohttp.ClientSession(connector=connector) as session:
async with timeout(10): for attempt in range(retry_count):
client = AsyncOpenAI( try:
api_key=api_key, async with timeout(10):
base_url=endpoint, client = AsyncOpenAI(
http_client=aiohttp.ClientSession( api_key=api_key,
connector=aiohttp.TCPConnector( base_url=endpoint,
ssl=ssl_context, http_client=session
enable_cleanup_closed=True
)
) )
)
try:
models = await client.models.list() models = await client.models.list()
model_ids = [model.id for model in models.data] model_ids = [model.id for model in models.data]
finally:
await client.http_client.close()
if model not in model_ids: if model not in model_ids:
_LOGGER.warning( _LOGGER.warning(
"Model %s not found in available models: %s", "Model %s not found in available models: %s",
model, model,
", ".join(model_ids) ", ".join(model_ids)
) )
return False, "invalid_model", model_ids return False, "invalid_model", model_ids
return True, "", model_ids return True, "", model_ids
except asyncio.TimeoutError: except asyncio.TimeoutError:
_LOGGER.warning( _LOGGER.warning(
"Timeout during API validation (attempt %d/%d)", "Timeout during API validation (attempt %d/%d)",
attempt + 1, attempt + 1,
retry_count retry_count
) )
if attempt == retry_count - 1: if attempt == retry_count - 1:
return False, "timeout", [] return False, "timeout", []
await asyncio.sleep(retry_delay) await asyncio.sleep(retry_delay)
except AuthenticationError as err: except AuthenticationError as err:
_LOGGER.error("Authentication error: %s", str(err)) _LOGGER.error("Authentication error: %s", str(err))
return False, "invalid_auth", [] return False, "invalid_auth", []
except RateLimitError as err: except RateLimitError as err:
_LOGGER.error("Rate limit exceeded: %s", str(err)) _LOGGER.error("Rate limit exceeded: %s", str(err))
return False, "rate_limit", [] return False, "rate_limit", []
except APIConnectionError as err: except APIConnectionError as err:
_LOGGER.error("API connection error: %s", str(err)) _LOGGER.error("API connection error: %s", str(err))
return False, "cannot_connect", [] return False, "cannot_connect", []
except APIError as err: except APIError as err:
_LOGGER.error("API error: %s", str(err)) _LOGGER.error("API error: %s", str(err))
return False, "api_error", [] return False, "api_error", []
except Exception as err: except Exception as err:
_LOGGER.exception("Unexpected error during validation: %s", str(err)) _LOGGER.exception("Unexpected error during validation: %s", str(err))
return False, "unknown", [] return False, "unknown", []
class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN): class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
"""Handle a config flow for HA text AI.""" """Handle a config flow for HA text AI."""
@@ -172,12 +160,32 @@ class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
if user_input is not None: if user_input is not None:
try: try:
# Validate URL format
endpoint = user_input.get(CONF_API_ENDPOINT, DEFAULT_API_ENDPOINT)
try:
result = urlparse(endpoint)
if not all([result.scheme, result.netloc]):
errors["base"] = "invalid_url_format"
return self.async_show_form(
step_id="user",
data_schema=STEP_USER_DATA_SCHEMA,
errors=errors
)
except Exception as e:
_LOGGER.error("URL parsing error: %s", str(e))
errors["base"] = "invalid_url_format"
return self.async_show_form(
step_id="user",
data_schema=STEP_USER_DATA_SCHEMA,
errors=errors
)
# Validate input data # Validate input data
user_input = STEP_USER_DATA_SCHEMA(user_input) user_input = STEP_USER_DATA_SCHEMA(user_input)
is_valid, error_code, available_models = await validate_api_connection( is_valid, error_code, available_models = await validate_api_connection(
user_input[CONF_API_KEY], user_input[CONF_API_KEY],
user_input.get(CONF_API_ENDPOINT, DEFAULT_API_ENDPOINT), endpoint,
user_input[CONF_MODEL] user_input[CONF_MODEL]
) )
@@ -244,8 +252,7 @@ class OptionsFlowHandler(config_entries.OptionsFlow):
description={"suggested_value": DEFAULT_TEMPERATURE}, description={"suggested_value": DEFAULT_TEMPERATURE},
): vol.All( ): vol.All(
vol.Coerce(float), vol.Coerce(float),
vol.Range(min=0, max=2), vol.Range(min=0, max=2)
msg="Temperature must be between 0 and 2"
), ),
vol.Optional( vol.Optional(
CONF_MAX_TOKENS, CONF_MAX_TOKENS,
@@ -255,8 +262,7 @@ class OptionsFlowHandler(config_entries.OptionsFlow):
description={"suggested_value": DEFAULT_MAX_TOKENS}, description={"suggested_value": DEFAULT_MAX_TOKENS},
): vol.All( ): vol.All(
vol.Coerce(int), vol.Coerce(int),
vol.Range(min=1, max=4096), vol.Range(min=1, max=4096)
msg="Max tokens must be between 1 and 4096"
), ),
vol.Optional( vol.Optional(
CONF_REQUEST_INTERVAL, CONF_REQUEST_INTERVAL,
@@ -266,8 +272,7 @@ class OptionsFlowHandler(config_entries.OptionsFlow):
description={"suggested_value": DEFAULT_REQUEST_INTERVAL}, description={"suggested_value": DEFAULT_REQUEST_INTERVAL},
): vol.All( ): vol.All(
vol.Coerce(float), vol.Coerce(float),
vol.Range(min=0.1), vol.Range(min=0.1)
msg="Request interval must be at least 0.1 seconds"
), ),
}) })
+1 -1
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@@ -9,6 +9,6 @@
"issue_tracker": "https://github.com/smkrv/ha-text-ai/issues", "issue_tracker": "https://github.com/smkrv/ha-text-ai/issues",
"requirements": ["openai>=1.0.0"], "requirements": ["openai>=1.0.0"],
"ssdp": [], "ssdp": [],
"version": "1.0.4", "version": "1.0.7",
"zeroconf": [] "zeroconf": []
} }
+53 -184
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@@ -1,192 +1,61 @@
{ {
"config": { "config": {
"step": { "option": {
"user": { "api_key": {
"title": "Set up HA Text AI", "name": "API Key",
"description": "Configure your OpenAI integration for smart home interactions. You'll need an OpenAI API key from platform.openai.com to proceed.", "description": "Your OpenAI API key"
"data": { },
"api_key": { "model": {
"name": "OpenAI API Key", "name": "Model",
"description": "Your OpenAI API key from platform.openai.com. Keep this secure and never share it." "description": "AI model to use for responses"
}, },
"model": { "temperature": {
"name": "AI Model", "name": "Temperature",
"description": "Select the AI model to use. GPT-3.5-Turbo is recommended for most uses as it offers the best balance of capabilities and cost." "description": "Temperature for response generation (0-2)"
}, },
"temperature": { "max_tokens": {
"name": "Temperature", "name": "Max Tokens",
"description": "Controls response creativity (0-2). Low values (0.1-0.3) for focused responses, high values (0.8-2.0) for creative ones." "description": "Maximum tokens in response (1-4096)"
}, },
"max_tokens": { "api_endpoint": {
"name": "Max Tokens", "name": "API Endpoint",
"description": "Maximum length of responses. Higher values allow longer responses but consume more API tokens. Recommended: 512-1024." "description": "API endpoint URL"
}, },
"api_endpoint": { "request_interval": {
"name": "API Endpoint", "name": "Request Interval",
"description": "OpenAI API endpoint URL. Leave default unless using a custom endpoint or proxy." "description": "Minimum time between API requests (seconds)"
}, }
"request_interval": {
"name": "Request Interval",
"description": "Minimum time between API requests in seconds. Increase if experiencing rate limits."
}
} }
} },
"options": {
"temperature": "Temperature",
"max_tokens": "Max Tokens",
"request_interval": "Request Interval"
}, },
"error": { "error": {
"invalid_auth": "Invalid API key. Please check your OpenAI API key and try again.", "invalid_api_key": "Invalid API key",
"cannot_connect": "Failed to connect to API. Please check your internet connection and API endpoint.", "cannot_connect": "Cannot connect to the API",
"unknown": "Unexpected error occurred. Please check the logs for more details.", "unknown_error": "Unknown error",
"already_exists": "This API key is already configured in another integration.", "invalid_model": "Invalid model",
"invalid_model": "Selected model is not available. Please choose a different model.", "rate_limit_exceeded": "Rate limit exceeded",
"rate_limit": "API rate limit exceeded. Please try again later or increase the request interval.", "context_length_exceeded": "Context length exceeded",
"context_length": "Input too long for selected model. Try reducing max tokens or using a model with larger context.", "api_error": "API error",
"api_error": "OpenAI API error. Please check the logs for details.", "timeout_error": "Timeout error",
"timeout": "API response timeout. Request took too long to complete.", "queue_full": "Queue full",
"queue_full": "Request queue is full. Please try again later." "invalid_prompt": "Invalid prompt"
}, },
"abort": { "state": {
"already_configured": "This OpenAI integration is already configured", "ready": "Ready",
"auth_failed": "Authentication failed. Please verify your API key.", "processing": "Processing",
"invalid_endpoint": "Invalid API endpoint URL provided" "error": "Error",
} "disconnected": "Disconnected",
}, "rate_limited": "Rate limited",
"options": { "initializing": "Initializing"
"step": {
"init": {
"title": "HA Text AI Options",
"description": "Adjust your OpenAI integration settings. Changes will apply to future requests only.",
"data": {
"temperature": {
"name": "Temperature",
"description": "Controls response creativity (0-2). Low values for focused responses, high for creative ones."
},
"max_tokens": {
"name": "Max Tokens",
"description": "Maximum length of responses. Higher values allow longer responses but consume more API tokens."
},
"request_interval": {
"name": "Request Interval",
"description": "Minimum time between API requests in seconds. Increase if experiencing rate limits."
}
}
}
}
},
"entity": {
"sensor": {
"last_response": {
"name": "Last Response",
"state_attributes": {
"last_updated": {
"name": "Last Updated",
"description": "Timestamp of the last AI response"
},
"question": {
"name": "Last Question",
"description": "Most recent question asked"
},
"response": {
"name": "AI Response",
"description": "Latest response from the AI"
},
"model": {
"name": "Current Model",
"description": "AI model currently in use"
},
"temperature": {
"name": "Temperature Setting",
"description": "Current temperature parameter"
},
"max_tokens": {
"name": "Max Tokens Setting",
"description": "Current maximum tokens limit"
},
"total_responses": {
"name": "Total Responses",
"description": "Number of responses since last reset"
},
"system_prompt": {
"name": "System Prompt",
"description": "Current system instructions for the AI"
},
"response_time": {
"name": "Response Time",
"description": "Time taken to generate last response"
},
"queue_size": {
"name": "Queue Size",
"description": "Current size of request queue"
},
"api_status": {
"name": "API Status",
"description": "Current API connection status"
},
"error_count": {
"name": "Error Count",
"description": "Number of errors since last reset"
},
"last_error": {
"name": "Last Error",
"description": "Description of the last error encountered"
}
}
}
}
},
"services": {
"ask_question": {
"name": "Ask Question",
"description": "Send a question to the AI model and receive a detailed response. The response will be stored in conversation history.",
"fields": {
"question": {
"name": "Question",
"description": "Your question or prompt for the AI. Be specific for better results."
},
"model": {
"name": "Model",
"description": "AI model to use (optional, overrides default settings)."
},
"temperature": {
"name": "Temperature",
"description": "Response creativity level (0-2, optional)."
},
"max_tokens": {
"name": "Max Tokens",
"description": "Maximum response length (optional)."
}
}
}, },
"clear_history": { "services": {
"name": "Clear History", "ask_question": "Ask Question",
"description": "Delete all stored conversation history. This action cannot be undone." "clear_history": "Clear History",
}, "get_history": "Get History",
"get_history": { "set_system_prompt": "Set System Prompt"
"name": "Get History",
"description": "Retrieve conversation history, including questions, responses, and timestamps.",
"fields": {
"limit": {
"name": "Limit",
"description": "Number of recent conversations to return (default 10)."
},
"filter_model": {
"name": "Filter by Model",
"description": "Retrieve only conversations using a specific AI model."
}
}
},
"set_system_prompt": {
"name": "Set System Prompt",
"description": "Configure AI behavior by setting a system prompt.",
"fields": {
"prompt": {
"name": "Prompt",
"description": "Instructions defining AI behavior and response style."
},
"clear_prompt": {
"name": "Clear Prompt",
"description": "Remove current system prompt before setting new one."
}
}
} }
}
} }
+53 -184
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@@ -1,192 +1,61 @@
{ {
"config": { "config": {
"step": { "option": {
"user": { "api_key": {
"title": "Настройка HA Text AI", "name": "API ключ",
"description": "Настройте интеграцию OpenAI для умного дома. Требуется API ключ OpenAI. Подробнее о получении ключа на platform.openai.com", "description": "Ваш API ключ OpenAI"
"data": { },
"api_key": { "model": {
"name": "API ключ OpenAI", "name": "Модель",
"description": "Ваш API ключ с platform.openai.com. Храните его в безопасности." "description": "Модель AI для генерации ответов"
}, },
"model": { "temperature": {
"name": "AI Модель", "name": "Температура",
"description": "Выберите модель AI. GPT-3.5-Turbo рекомендуется для большинства задач как оптимальное сочетание возможностей и стоимости." "description": "Температура для генерации ответов (0-2)"
}, },
"temperature": { "max_tokens": {
"name": "Температура", "name": "Максимальное количество токенов",
"description": "Контролирует креативность ответов (0-2). Низкие значения (0.1-0.3) для точных ответов, высокие (0.8-2.0) для творческих." "description": "Максимальное количество токенов в ответе (1-4096)"
}, },
"max_tokens": { "api_endpoint": {
"name": "Максимум токенов", "name": "Конечная точка API",
"description": "Максимальная длина ответов. Больше токенов = длиннее ответы, но выше расход API токенов. Рекомендуется: 512-1024." "description": "URL конечной точки API"
}, },
"api_endpoint": { "request_interval": {
"name": "API Endpoint", "name": "Интервал запросов",
"description": "URL API OpenAI. Оставьте значение по умолчанию, если не используете собственный endpoint." "description": "Минимальное время между запросами к API в секундах"
}, }
"request_interval": {
"name": "Интервал запросов",
"description": "Минимальное время между API запросами в секундах. Увеличьте при превышении лимитов запросов."
}
} }
} },
"options": {
"temperature": "Температура",
"max_tokens": "Максимальное количество токенов",
"request_interval": "Интервал запросов"
}, },
"error": { "error": {
"invalid_auth": "Неверный API ключ. Проверьте ключ OpenAI и попробуйте снова.", "invalid_api_key": "Неверный API ключ",
"cannot_connect": "Не удалось подключиться к API. Проверьте подключение к интернету и endpoint.", "cannot_connect": "Не удается подключиться к API",
"unknown": "Неожиданная ошибка. Проверьте логи для подробностей.", "unknown_error": "Неизвестная ошибка",
"already_exists": "Этот API ключ уже используется в другой интеграции.", "invalid_model": "Неверная модель",
"invalid_model": "Выбранная модель недоступна. Выберите другую модель.", "rate_limit_exceeded": "Превышен лимит запросов",
"rate_limit": "Превышен лимит API запросов. Попробуйте позже или увеличьте интервал запросов.", "context_length_exceeded": "Превышена длина контекста",
"context_length": "Входные данные слишком длинные для выбранной модели. Уменьшите max_tokens или используйте модель с большим контекстом.", "api_error": "Ошибка API",
"api_error": "Ошибка API OpenAI. Проверьте логи для подробностей.", "timeout_error": "Время ожидания истекло",
"timeout": "Превышено время ожидания ответа от API.", "queue_full": "Очередь полна",
"queue_full": "Очередь запросов переполнена. Попробуйте позже." "invalid_prompt": "Неверный запрос"
}, },
"abort": { "state": {
"already_configured": "Эта интеграция OpenAI уже настроена", "ready": "Готово",
"auth_failed": "Ошибка аутентификации. Проверьте API ключ.", "processing": "Обработка",
"invalid_endpoint": "Указан неверный URL API endpoint" "error": "Ошибка",
} "disconnected": "Отключено",
}, "rate_limited": "Ограниченный по скорости",
"options": { "initializing": "Инициализация"
"step": {
"init": {
"title": "Настройки HA Text AI",
"description": "Измените настройки интеграции OpenAI. Изменения применятся к будущим запросам.",
"data": {
"temperature": {
"name": "Температура",
"description": "Контролирует креативность ответов (0-2). Низкие значения для точных ответов, высокие для творческих."
},
"max_tokens": {
"name": "Максимум токенов",
"description": "Максимальная длина ответов. Больше токенов = длиннее ответы, но выше расход API токенов."
},
"request_interval": {
"name": "Интервал запросов",
"description": "Минимальное время между API запросами в секундах. Увеличьте при превышении лимитов."
}
}
}
}
},
"entity": {
"sensor": {
"last_response": {
"name": "Последний ответ",
"state_attributes": {
"last_updated": {
"name": "Последнее обновление",
"description": "Время последнего ответа AI"
},
"question": {
"name": "Последний вопрос",
"description": "Последний заданный вопрос"
},
"response": {
"name": "Ответ AI",
"description": "Последний ответ от AI"
},
"model": {
"name": "Текущая модель",
"description": "Используемая модель AI"
},
"temperature": {
"name": "Настройка температуры",
"description": "Текущий параметр температуры"
},
"max_tokens": {
"name": "Лимит токенов",
"description": "Текущий лимит максимальных токенов"
},
"total_responses": {
"name": "Всего ответов",
"description": "Количество ответов с последнего сброса"
},
"system_prompt": {
"name": "Системный промпт",
"description": "Текущие системные инструкции для AI"
},
"response_time": {
"name": "Время ответа",
"description": "Время генерации последнего ответа"
},
"queue_size": {
"name": "Размер очереди",
"description": "Текущий размер очереди запросов"
},
"api_status": {
"name": "Статус API",
"description": "Текущий статус подключения к API"
},
"error_count": {
"name": "Счётчик ошибок",
"description": "Количество ошибок с последнего сброса"
},
"last_error": {
"name": "Последняя ошибка",
"description": "Описание последней возникшей ошибки"
}
}
}
}
},
"services": {
"ask_question": {
"name": "Задать вопрос",
"description": "Отправить вопрос модели AI и получить подробный ответ. Ответ сохраняется в истории.",
"fields": {
"question": {
"name": "Вопрос",
"description": "Ваш вопрос или запрос для AI. Будьте конкретны для лучших результатов."
},
"model": {
"name": "Модель",
"description": "Модель AI для использования (необязательно, переопределяет настройки по умолчанию)."
},
"temperature": {
"name": "Температура",
"description": "Уровень креативности ответа (0-2, необязательно)."
},
"max_tokens": {
"name": "Максимум токенов",
"description": "Максимальная длина ответа (необязательно)."
}
}
}, },
"clear_history": { "services": {
"name": "Очистить историю", "ask_question": "Задать вопрос",
"description": "Удалить всю историю разговоров. Это действие нельзя отменить." "clear_history": "Очистить историю",
}, "get_history": "Получить историю",
"get_history": { "set_system_prompt": "Установить системный запрос"
"name": "Получить историю",
"description": "Получить историю разговоров, включая вопросы, ответы и временные метки.",
"fields": {
"limit": {
"name": "Лимит",
"description": "Количество последних разговоров для получения (по умолчанию 10)."
},
"filter_model": {
"name": "Фильтр по модели",
"description": "Получить только разговоры с определённой моделью AI."
}
}
},
"set_system_prompt": {
"name": "Установить системный промпт",
"description": "Настроить поведение AI, установив системный промпт.",
"fields": {
"prompt": {
"name": "Промпт",
"description": "Инструкции, определяющие поведение и стиль ответов AI."
},
"clear_prompt": {
"name": "Очистить промпт",
"description": "Удалить текущий системный промпт перед установкой нового."
}
}
} }
}
} }
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@@ -4,6 +4,6 @@
"domains": ["sensor"], "domains": ["sensor"],
"homeassistant": "2024.11.0", "homeassistant": "2024.11.0",
"icon": "mdi:brain", "icon": "mdi:brain",
"version": "1.0.4", "version": "1.0.7",
"documentation": "https://github.com/smkrv/ha-text-ai" "documentation": "https://github.com/smkrv/ha-text-ai"
} }