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Release v2.1.1: Token Handling Improvement and DeepSeek Support

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- Completely reworked token handling mechanism
- Removed custom token calculation logic
- Direct max_tokens passing to LLM APIs
- Added support for DeepSeek provider
- Integrated deepseek-chat and deepseek-reasoner models

Thanks to @estiens for reporting token handling issues and providing valuable feedback (https://github.com/smkrv/ha-text-ai/issues/1).
This commit is contained in:
SMKRV
2025-01-28 15:54:48 +03:00
parent 82e1f0c4f9
commit bfd64d1122
16 changed files with 125 additions and 148 deletions
Download Patch File Download Diff File Expand all files Collapse all files
custom_components/ha_text_ai/__init__.py
+5
View File
@@ -39,11 +39,14 @@ from .const import (
CONF_CONTEXT_MESSAGES,
API_PROVIDER_OPENAI,
API_PROVIDER_ANTHROPIC,
API_PROVIDER_DEEPSEEK,
DEFAULT_MODEL,
DEFAULT_DEEPSEEK_MODEL,
DEFAULT_TEMPERATURE,
DEFAULT_MAX_TOKENS,
DEFAULT_OPENAI_ENDPOINT,
DEFAULT_ANTHROPIC_ENDPOINT,
DEFAULT_DEEPSEEK_ENDPOINT,
DEFAULT_REQUEST_INTERVAL,
DEFAULT_CONTEXT_MESSAGES,
API_TIMEOUT,
@@ -235,6 +238,8 @@ async def async_check_api(session, endpoint: str, headers: dict, provider: str)
try:
if provider == API_PROVIDER_ANTHROPIC:
check_url = f"{endpoint}/v1/models"
elif provider == API_PROVIDER_DEEPSEEK:
check_url = f"{endpoint}/models" # DeepSeek
else: # OpenAI
check_url = f"{endpoint}/models"
custom_components/ha_text_ai/api_client.py
+37 -5
View File
@@ -18,6 +18,8 @@ from .const import (
API_TIMEOUT,
API_RETRY_COUNT,
API_PROVIDER_ANTHROPIC,
API_PROVIDER_DEEPSEEK,
API_PROVIDER_OPENAI,
MIN_TEMPERATURE,
MAX_TEMPERATURE,
MIN_MAX_TOKENS,
@@ -109,19 +111,49 @@ class APIClient:
return await self._create_anthropic_completion(
model, messages, temperature, max_tokens
)
elif self.api_provider == API_PROVIDER_DEEPSEEK:
return await self._create_deepseek_completion(
model, messages, temperature, max_tokens
)
else:
return await self._create_openai_completion(
model, messages, temperature, max_tokens
)
except (KeyError, IndexError) as e:
if "'choices'" in str(e) or "'message'" in str(e):
raise HomeAssistantError("Failed to get a response from the AI model. Please check your internet connection and try again later.")
else:
raise
except Exception as e:
_LOGGER.error("API request failed: %s", str(e))
raise HomeAssistantError(f"API request failed: {str(e)}")
async def _create_deepseek_completion(
self,
model: str,
messages: List[Dict[str, str]],
temperature: float,
max_tokens: int,
) -> Dict[str, Any]:
"""Create completion using DeepSeek API."""
url = f"{self.endpoint}/chat/completions"
payload = {
"model": model,
"messages": messages,
"temperature": temperature,
"max_tokens": max_tokens,
"stream": False
}
data = await self._make_request(url, payload)
return {
"choices": [
{
"message": {"content": data["choices"][0]["message"]["content"]},
}
],
"usage": {
"prompt_tokens": data["usage"]["prompt_tokens"],
"completion_tokens": data["usage"]["completion_tokens"],
"total_tokens": data["usage"]["total_tokens"],
},
}
async def _create_openai_completion(
self,
model: str,
custom_components/ha_text_ai/config_flow.py
+19 -11
View File
@@ -28,13 +28,16 @@ from .const import (
CONF_CONTEXT_MESSAGES,
API_PROVIDER_OPENAI,
API_PROVIDER_ANTHROPIC,
API_PROVIDER_DEEPSEEK,
API_PROVIDERS,
DEFAULT_MODEL,
DEFAULT_DEEPSEEK_MODEL,
DEFAULT_TEMPERATURE,
DEFAULT_MAX_TOKENS,
DEFAULT_REQUEST_INTERVAL,
DEFAULT_OPENAI_ENDPOINT,
DEFAULT_ANTHROPIC_ENDPOINT,
DEFAULT_DEEPSEEK_ENDPOINT,
DEFAULT_CONTEXT_MESSAGES,
MIN_TEMPERATURE,
MAX_TEMPERATURE,
@@ -90,17 +93,22 @@ class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
self._errors = {}
if user_input is None:
default_endpoint = (
DEFAULT_OPENAI_ENDPOINT if self._provider == API_PROVIDER_OPENAI
else DEFAULT_ANTHROPIC_ENDPOINT
)
# Выбор endpoint по провайдеру
default_endpoint = {
API_PROVIDER_OPENAI: DEFAULT_OPENAI_ENDPOINT,
API_PROVIDER_ANTHROPIC: DEFAULT_ANTHROPIC_ENDPOINT,
API_PROVIDER_DEEPSEEK: DEFAULT_DEEPSEEK_ENDPOINT,
}.get(self._provider, DEFAULT_OPENAI_ENDPOINT)
# Выбор модели по умолчанию по провайдеру
default_model = DEFAULT_DEEPSEEK_MODEL if self._provider == API_PROVIDER_DEEPSEEK else DEFAULT_MODEL
return self.async_show_form(
step_id="provider",
data_schema=vol.Schema({
vol.Required(CONF_NAME, default="my_assistant"): str,
vol.Required(CONF_API_KEY): str,
vol.Required(CONF_MODEL, default=DEFAULT_MODEL): str,
vol.Required(CONF_MODEL, default=default_model): str,
vol.Required(CONF_API_ENDPOINT, default=default_endpoint): str,
vol.Optional(CONF_TEMPERATURE, default=DEFAULT_TEMPERATURE): vol.All(
vol.Coerce(float),
@@ -156,15 +164,13 @@ class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
if not await self._async_validate_api(input_copy):
return self.async_show_form(
step_id="provider",
data_schema=vol.Schema({
}),
data_schema=vol.Schema({}),
errors=self._errors
)
except Exception as e:
return self.async_show_form(
step_id="provider",
data_schema=vol.Schema({
}),
data_schema=vol.Schema({}),
errors={"base": str(e)}
)
@@ -250,6 +256,8 @@ class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
unique_id = f"{DOMAIN}_{normalized_name}_{self._provider}".lower()
default_model = DEFAULT_DEEPSEEK_MODEL if self._provider == API_PROVIDER_DEEPSEEK else DEFAULT_MODEL
entry_data = {
CONF_API_PROVIDER: self._provider,
CONF_NAME: instance_name,
@@ -257,7 +265,7 @@ class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
CONF_API_KEY: user_input.get(CONF_API_KEY),
CONF_API_ENDPOINT: user_input.get(CONF_API_ENDPOINT),
"unique_id": unique_id,
CONF_MODEL: user_input.get(CONF_MODEL, DEFAULT_MODEL),
CONF_MODEL: user_input.get(CONF_MODEL, default_model),
CONF_TEMPERATURE: user_input.get(CONF_TEMPERATURE, DEFAULT_TEMPERATURE),
CONF_MAX_TOKENS: user_input.get(CONF_MAX_TOKENS, DEFAULT_MAX_TOKENS),
CONF_REQUEST_INTERVAL: user_input.get(CONF_REQUEST_INTERVAL, DEFAULT_REQUEST_INTERVAL),
@@ -302,7 +310,7 @@ class OptionsFlowHandler(config_entries.OptionsFlow):
data_schema=vol.Schema({
vol.Optional(
CONF_MODEL,
default=current_data.get(CONF_MODEL, DEFAULT_MODEL)
default=current_data.get(CONF_MODEL, default_model)
): str,
vol.Optional(
CONF_TEMPERATURE,
custom_components/ha_text_ai/const.py
+7 -3
View File
@@ -7,7 +7,7 @@ Constants for the HA text AI integration.
@source: https://github.com/smkrv/ha-text-ai
"""
import os
import json
import json
from typing import Final
import voluptuous as vol
from homeassistant.const import Platform, CONF_API_KEY, CONF_NAME
@@ -21,10 +21,12 @@ PLATFORMS: list[str] = ["sensor"]
CONF_API_PROVIDER: Final = "api_provider"
API_PROVIDER_OPENAI: Final = "openai"
API_PROVIDER_ANTHROPIC: Final = "anthropic"
API_PROVIDER_DEEPSEEK: Final = "deepseek"
API_PROVIDERS: Final = [
API_PROVIDER_OPENAI,
API_PROVIDER_ANTHROPIC
API_PROVIDER_ANTHROPIC,
API_PROVIDER_DEEPSEEK
]
# Read version from manifest.json
@@ -46,6 +48,7 @@ except Exception as err:
# Default endpoints
DEFAULT_OPENAI_ENDPOINT: Final = "https://api.openai.com/v1"
DEFAULT_ANTHROPIC_ENDPOINT: Final = "https://api.anthropic.com"
DEFAULT_DEEPSEEK_ENDPOINT: Final = "https://api.deepseek.com"
# Configuration constants
CONF_MODEL: Final = "model"
@@ -65,6 +68,7 @@ ICONS_SUBDOMAIN = "icons"
# Default values
DEFAULT_MODEL: Final = "gpt-4o-mini"
DEFAULT_DEEPSEEK_MODEL: Final = "deepseek-chat"
DEFAULT_TEMPERATURE: Final = 0.1
DEFAULT_MAX_TOKENS: Final = 1000
DEFAULT_REQUEST_INTERVAL: Final = 1.0
@@ -80,7 +84,7 @@ TRUNCATION_INDICATOR = " ... "
MIN_TEMPERATURE: Final = 0.0
MAX_TEMPERATURE: Final = 2.0
MIN_MAX_TOKENS: Final = 1
MAX_MAX_TOKENS: Final = 4096
MAX_MAX_TOKENS: Final = 100000
MIN_REQUEST_INTERVAL: Final = 0.1
MAX_REQUEST_INTERVAL: Final = 60.0
custom_components/ha_text_ai/coordinator.py
+5 -86
View File
@@ -796,46 +796,6 @@ class HATextAICoordinator(DataUpdateCoordinator):
"normalized_name": self.normalized_name,
}
def _calculate_context_tokens(self, messages: List[Dict[str, str]], model: Optional[str] = None) -> int:
total_tokens = 0
# Compile regular expressions for performance
number_pattern = re.compile(r'[0-9]')
special_char_pattern = re.compile(r'[^\w\s]')
whitespace_pattern = re.compile(r'\s+')
try:
for message in messages:
text = message.get('content', '')
if text:
# Normalize whitespace
text = whitespace_pattern.sub(' ', text.strip())
# Advanced token estimation heuristics
words = text.split()
for word in words:
# Complexity-based token calculation
if len(word) > 8: # Long words
total_tokens += 2
elif number_pattern.search(word): # Words with numbers
total_tokens += 1.5
elif special_char_pattern.search(word): # Words with special characters
total_tokens += 1.5
elif word.isupper(): # Acronyms and technical terms
total_tokens += 1.5
else: # Regular words
total_tokens += 1
# Additional correction for technical texts
total_tokens = math.ceil(total_tokens * 1.2)
return int(total_tokens)
except Exception as e:
_LOGGER.error(f"Token calculation error: {e}. Processed {len(messages)} messages.")
# Safe fallback with minimal token estimation
return len(messages) * 100
async def async_ask_question(
self,
question: str,
@@ -876,9 +836,7 @@ class HATextAICoordinator(DataUpdateCoordinator):
system_prompt: Optional[str] = None,
context_messages: Optional[int] = None,
) -> dict:
"""
Enhanced question processing with intelligent token management.
"""
"""Process question with context management."""
if self.client is None:
raise HomeAssistantError("AI client not initialized")
@@ -900,62 +858,23 @@ class HATextAICoordinator(DataUpdateCoordinator):
if temp_system_prompt:
messages.append({"role": "system", "content": temp_system_prompt})
# Context history management
# Add context from history
context_history = self._conversation_history[-temp_context_messages:]
# Comprehensive token calculation
context_tokens = self._calculate_context_tokens(
[{"content": entry["question"]} for entry in context_history] +
[{"content": entry["response"]} for entry in context_history] +
[{"content": question}],
temp_model
)
# Dynamic token allocation
available_tokens = max(0, temp_max_tokens - context_tokens)
# Context trimming if over token limit
if context_tokens > temp_max_tokens:
_LOGGER.warning(
f"Token limit exceeded. "
f"Context: {context_tokens}, "
f"Max: {temp_max_tokens}"
)
# Intelligent context reduction
while context_tokens > temp_max_tokens // 2 and context_history:
context_history.pop(0)
context_tokens = self._calculate_context_tokens(
[{"content": entry["question"]} for entry in context_history] +
[{"content": entry["response"]} for entry in context_history] +
[{"content": question}],
temp_model
)
# Rebuild messages with trimmed context
for entry in context_history:
messages.append({"role": "user", "content": entry["question"]})
messages.append({"role": "assistant", "content": entry["response"]})
# Add current question
messages.append({"role": "user", "content": question})
# Detailed token logging
_LOGGER.debug(
f"Token Analysis: "
f"Context Tokens: {context_tokens}, "
f"Max Tokens: {temp_max_tokens}, "
f"Available Tokens: {available_tokens}"
)
# Prepare API call with dynamic token management
# Process message
kwargs = {
"model": temp_model,
"temperature": temp_temperature,
"max_tokens": min(temp_max_tokens, available_tokens),
"max_tokens": temp_max_tokens,
"messages": messages,
}
# Process message
response = await self.async_process_message(question, **kwargs)
# Update metrics
custom_components/ha_text_ai/manifest.json
+1 -1
View File
@@ -23,6 +23,6 @@
"single_config_entry": false,
"ssdp": [],
"usb": [],
"version": "2.1.0",
"version": "2.1.1",
"zeroconf": []
}
custom_components/ha_text_ai/sensor.py
+1 -1
View File
@@ -155,7 +155,7 @@ class HATextAISensor(CoordinatorEntity, SensorEntity):
name=self._attr_name,
manufacturer="Community",
model=f"{model} ({api_provider} provider)",
sw_version=VERSION,
sw_version=VERSION,
)
_LOGGER.debug(
custom_components/ha_text_ai/translations/de.json
+6 -5
View File
@@ -19,7 +19,7 @@
"model": "Zu verwendendes AI-Modell",
"api_endpoint": "Benutzerdefinierte API-Endpunkt-URL (optional)",
"temperature": "Kreativität der Antwort (0-2, niedriger = fokussierter)",
"max_tokens": "Maximale Länge der Antwort (1-4096 Token)",
"max_tokens": "Maximale Länge der Antwort (1-100000 Token)",
"request_interval": "Minimale Zeit zwischen Anfragen (0,1-60 Sekunden)",
"context_messages": "Anzahl der zu behaltenden Kontextnachrichten (1-20)",
"max_history_size": "Maximale Größe des Gesprächsverlaufs (1-100)"
@@ -33,7 +33,7 @@
"api_key": "API-Schlüssel zur Authentifizierung",
"model": "Zu verwendendes AI-Modell",
"temperature": "Kreativität der Antwort (0-2, niedriger = fokussierter)",
"max_tokens": "Maximale Länge der Antwort (1-4096 Token)",
"max_tokens": "Maximale Länge der Antwort (1-100000 Token)",
"api_endpoint": "Benutzerdefinierte API-Endpunkt-URL (optional)",
"api_provider": "API-Anbieter",
"request_interval": "Minimale Zeit zwischen Anfragen (0,1-60 Sekunden)",
@@ -77,7 +77,7 @@
"data": {
"model": "AI-Modell",
"temperature": "Kreativität der Antwort (0-2)",
"max_tokens": "Maximale Länge der Antwort (1-4096)",
"max_tokens": "Maximale Länge der Antwort (1-100000)",
"request_interval": "Minimale Anfrageintervall (0,1-60 Sekunden)",
"context_messages": "Anzahl der vorherigen Nachrichten, die im Kontext enthalten sein sollen (1-20)",
"max_history_size": "Maximale Größe des Gesprächsverlaufs (1-100)"
@@ -89,7 +89,8 @@
"api_provider": {
"options": {
"openai": "OpenAI (kompatibel)",
"anthropic": "Anthropic (kompatibel)"
"anthropic": "Anthropic (kompatibel)",
"deepseek": "DeepSeek"
}
}
},
@@ -124,7 +125,7 @@
},
"max_tokens": {
"name": "Max Tokens",
"description": "Maximale Länge der Antwort (1-4096 Token)"
"description": "Maximale Länge der Antwort (1-100000 Token)"
}
}
},
custom_components/ha_text_ai/translations/en.json
+6 -5
View File
@@ -19,7 +19,7 @@
"model": "AI model to use",
"api_endpoint": "Custom API endpoint URL (optional)",
"temperature": "Response creativity (0-2, lower = more focused)",
"max_tokens": "Maximum response length (1-4096 tokens)",
"max_tokens": "Maximum response length (1-100000 tokens)",
"request_interval": "Minimum time between requests (0.1-60 seconds)",
"context_messages": "Number of context messages to retain (1-20)",
"max_history_size": "Maximum conversation history size (1-100)"
@@ -33,7 +33,7 @@
"api_key": "API key for authentication",
"model": "AI model to use",
"temperature": "Response creativity (0-2, lower = more focused)",
"max_tokens": "Maximum response length (1-4096 tokens)",
"max_tokens": "Maximum response length (1-100000 tokens)",
"api_endpoint": "Custom API endpoint URL (optional)",
"api_provider": "API Provider",
"request_interval": "Minimum time between requests (0.1-60 seconds)",
@@ -77,7 +77,7 @@
"data": {
"model": "AI model",
"temperature": "Response creativity (0-2)",
"max_tokens": "Maximum response length (1-4096)",
"max_tokens": "Maximum response length (1-100000)",
"request_interval": "Minimum request interval (0.1-60 seconds)",
"context_messages": "Number of previous messages to include in context (1-20)",
"max_history_size": "Maximum conversation history size (1-100)"
@@ -89,7 +89,8 @@
"api_provider": {
"options": {
"openai": "OpenAI (compatible)",
"anthropic": "Anthropic (compatible)"
"anthropic": "Anthropic (compatible)",
"deepseek": "DeepSeek"
}
}
},
@@ -124,7 +125,7 @@
},
"max_tokens": {
"name": "Max Tokens",
"description": "Maximum length of the response (1-4096 tokens)"
"description": "Maximum length of the response (1-100000 tokens)"
}
}
},
custom_components/ha_text_ai/translations/es.json
+6 -5
View File
@@ -19,7 +19,7 @@
"model": "Modelo de IA a utilizar",
"api_endpoint": "URL del endpoint de API personalizado (opcional)",
"temperature": "Creatividad de la respuesta (0-2, menor = más enfocado)",
"max_tokens": "Longitud máxima de la respuesta (1-4096 tokens)",
"max_tokens": "Longitud máxima de la respuesta (1-100000 tokens)",
"request_interval": "Tiempo mínimo entre solicitudes (0.1-60 segundos)",
"context_messages": "Número de mensajes de contexto a retener (1-20)",
"max_history_size": "Tamaño máximo del historial de conversación (1-100)"
@@ -33,7 +33,7 @@
"api_key": "Clave API para autenticación",
"model": "Modelo de IA a utilizar",
"temperature": "Creatividad de la respuesta (0-2, menor = más enfocado)",
"max_tokens": "Longitud máxima de la respuesta (1-4096 tokens)",
"max_tokens": "Longitud máxima de la respuesta (1-100000 tokens)",
"api_endpoint": "URL del endpoint de API personalizado (opcional)",
"api_provider": "Proveedor de API",
"request_interval": "Tiempo mínimo entre solicitudes (0.1-60 segundos)",
@@ -77,7 +77,7 @@
"data": {
"model": "Modelo de IA",
"temperature": "Creatividad de la respuesta (0-2)",
"max_tokens": "Longitud máxima de la respuesta (1-4096)",
"max_tokens": "Longitud máxima de la respuesta (1-100000)",
"request_interval": "Intervalo mínimo de solicitud (0.1-60 segundos)",
"context_messages": "Número de mensajes anteriores a incluir en el contexto (1-20)",
"max_history_size": "Tamaño máximo del historial de conversación (1-100)"
@@ -89,7 +89,8 @@
"api_provider": {
"options": {
"openai": "OpenAI (compatible)",
"anthropic": "Anthropic (compatible)"
"anthropic": "Anthropic (compatible)",
"deepseek": "DeepSeek"
}
}
},
@@ -124,7 +125,7 @@
},
"max_tokens": {
"name": "Máx. Tokens",
"description": "Longitud máxima de la respuesta (1-4096 tokens)"
"description": "Longitud máxima de la respuesta (1-100000 tokens)"
}
}
},
custom_components/ha_text_ai/translations/hi.json
+6 -5
View File
@@ -19,7 +19,7 @@
"model": "उपयोग करने के लिए एआई मॉडल",
"api_endpoint": "कस्टम एपीआई एंडपॉइंट यूआरएल (वैकल्पिक)",
"temperature": "प्रतिक्रिया की रचनात्मकता (0-2, कम = अधिक केंद्रित)",
"max_tokens": "प्रतिक्रिया की अधिकतम लंबाई (1-4096 टोकन)",
"max_tokens": "प्रतिक्रिया की अधिकतम लंबाई (1-100000 टोकन)",
"request_interval": "अनुरोधों के बीच न्यूनतम समय (0.1-60 सेकंड)",
"context_messages": "रखने के लिए संदर्भ संदेशों की संख्या (1-20)",
"max_history_size": "अधिकतम बातचीत इतिहास आकार (1-100)"
@@ -33,7 +33,7 @@
"api_key": "प्रमाणीकरण के लिए एपीआई कुंजी",
"model": "उपयोग करने के लिए एआई मॉडल",
"temperature": "प्रतिक्रिया की रचनात्मकता (0-2, कम = अधिक केंद्रित)",
"max_tokens": "प्रतिक्रिया की अधिकतम लंबाई (1-4096 टोकन)",
"max_tokens": "प्रतिक्रिया की अधिकतम लंबाई (1-100000 टोकन)",
"api_endpoint": "कस्टम एपीआई एंडपॉइंट यूआरएल (वैकल्पिक)",
"api_provider": "एपीआई प्रदाता",
"request_interval": "अनुरोधों के बीच न्यूनतम समय (0.1-60 सेकंड)",
@@ -77,7 +77,7 @@
"data": {
"model": "एआई मॉडल",
"temperature": "प्रतिक्रिया की रचनात्मकता (0-2)",
"max_tokens": "प्रतिक्रिया की अधिकतम लंबाई (1-4096)",
"max_tokens": "प्रतिक्रिया की अधिकतम लंबाई (1-100000)",
"request_interval": "न्यूनतम अनुरोध अंतराल (0.1-60 सेकंड)",
"context_messages": "संदर्भ में शामिल करने के लिए पिछले संदेशों की संख्या (1-20)",
"max_history_size": "अधिकतम बातचीत इतिहास आकार (1-100)"
@@ -89,7 +89,8 @@
"api_provider": {
"options": {
"openai": "OpenAI (अनुकूलित)",
"anthropic": "Anthropic (अनुकूलित)"
"anthropic": "Anthropic (अनुकूलित)",
"deepseek": "DeepSeek"
}
}
},
@@ -124,7 +125,7 @@
},
"max_tokens": {
"name": "अधिकतम टोकन",
"description": "प्रतिक्रिया की अधिकतम लंबाई (1-4096 टोकन)"
"description": "प्रतिक्रिया की अधिकतम लंबाई (1-100000 टोकन)"
}
}
},
custom_components/ha_text_ai/translations/it.json
+6 -5
View File
@@ -19,7 +19,7 @@
"model": "Modello AI da utilizzare",
"api_endpoint": "URL dell'endpoint API personalizzato (opzionale)",
"temperature": "Creatività della risposta (0-2, più basso = più focalizzato)",
"max_tokens": "Lunghezza massima della risposta (1-4096 token)",
"max_tokens": "Lunghezza massima della risposta (1-100000 token)",
"request_interval": "Tempo minimo tra le richieste (0.1-60 secondi)",
"context_messages": "Numero di messaggi di contesto da mantenere (1-20)",
"max_history_size": "Dimensione massima della cronologia delle conversazioni (1-100)"
@@ -33,7 +33,7 @@
"api_key": "Chiave API per l'autenticazione",
"model": "Modello AI da utilizzare",
"temperature": "Creatività della risposta (0-2, più basso = più focalizzato)",
"max_tokens": "Lunghezza massima della risposta (1-4096 token)",
"max_tokens": "Lunghezza massima della risposta (1-100000 token)",
"api_endpoint": "URL dell'endpoint API personalizzato (opzionale)",
"api_provider": "Fornitore API",
"request_interval": "Tempo minimo tra le richieste (0.1-60 secondi)",
@@ -77,7 +77,7 @@
"data": {
"model": "Modello AI",
"temperature": "Creatività della risposta (0-2)",
"max_tokens": "Lunghezza massima della risposta (1-4096)",
"max_tokens": "Lunghezza massima della risposta (1-100000)",
"request_interval": "Intervallo minimo di richiesta (0.1-60 secondi)",
"context_messages": "Numero di messaggi precedenti da includere nel contesto (1-20)",
"max_history_size": "Dimensione massima della cronologia delle conversazioni (1-100)"
@@ -89,7 +89,8 @@
"api_provider": {
"options": {
"openai": "OpenAI (compatibile)",
"anthropic": "Anthropic (compatibile)"
"anthropic": "Anthropic (compatibile)",
"deepseek": "DeepSeek"
}
}
},
@@ -124,7 +125,7 @@
},
"max_tokens": {
"name": "Token massimi",
"description": "Lunghezza massima della risposta (1-4096 token)"
"description": "Lunghezza massima della risposta (1-100000 token)"
}
}
},
custom_components/ha_text_ai/translations/ru.json
+6 -5
View File
@@ -19,7 +19,7 @@
"model": "Модель ИИ для использования",
"api_endpoint": "Пользовательский URL-адрес конечной точки API (необязательно)",
"temperature": "Креативность ответа (0-2, меньше = более сфокусированно)",
"max_tokens": "Максимальная длина ответа (1-4096 токенов)",
"max_tokens": "Максимальная длина ответа (1-100000 токенов)",
"request_interval": "Минимальный интервал между запросами (0.1-60 секунд)",
"context_messages": "Количество сохраняемых контекстных сообщений (1-20)",
"max_history_size": "Максимальный размер истории разговора (1-100)"
@@ -33,7 +33,7 @@
"api_key": "API-ключ для аутентификации",
"model": "Модель ИИ для использования",
"temperature": "Креативность ответа (0-2, меньше = более сфокусированно)",
"max_tokens": "Максимальная длина ответа (1-4096 токенов)",
"max_tokens": "Максимальная длина ответа (1-100000 токенов)",
"api_endpoint": "Пользовательский URL-адрес конечной точки API (необязательно)",
"api_provider": "Провайдер API",
"request_interval": "Минимальный интервал между запросами (0.1-60 секунд)",
@@ -77,7 +77,7 @@
"data": {
"model": "Модель ИИ",
"temperature": "Креативность ответа (0-2)",
"max_tokens": "Максимальная длина ответа (1-4096)",
"max_tokens": "Максимальная длина ответа (1-100000)",
"request_interval": "Минимальный интервал между запросами (0.1-60 секунд)",
"context_messages": "Количество предыдущих сообщений для включения в контекст (1-20)",
"max_history_size": "Максимальный размер истории разговора (1-100)"
@@ -89,7 +89,8 @@
"api_provider": {
"options": {
"openai": "OpenAI (совместимый)",
"anthropic": "Anthropic (совместимый)"
"anthropic": "Anthropic (совместимый)",
"deepseek": "DeepSeek"
}
}
},
@@ -124,7 +125,7 @@
},
"max_tokens": {
"name": "Максимум токенов",
"description": "Максимальная длина ответа (1-4096 токенов)"
"description": "Максимальная длина ответа (1-100000 токенов)"
}
}
},
custom_components/ha_text_ai/translations/sr.json
+6 -5
View File
@@ -19,7 +19,7 @@
"model": "AI модел који ће се користити",
"api_endpoint": "Прилагођени URL API крајње тачке (опционо)",
"temperature": "Креативност одговора (0-2, нижа = фокусираније)",
"max_tokens": "Максимална дужина одговора (1-4096 токена)",
"max_tokens": "Максимална дужина одговора (1-100000 токена)",
"request_interval": "Минимално време између захтева (0.1-60 секунди)",
"context_messages": "Број контекстуалних порука које треба задржати (1-20)",
"max_history_size": "Максимална величина историје разговора (1-100)"
@@ -33,7 +33,7 @@
"api_key": "API кључ за аутентификацију",
"model": "AI модел који ће се користити",
"temperature": "Креативност одговора (0-2, нижа = фокусираније)",
"max_tokens": "Максимална дужина одговора (1-4096 токена)",
"max_tokens": "Максимална дужина одговора (1-100000 токена)",
"api_endpoint": "Прилагођени URL API крајње тачке (опционо)",
"api_provider": "API провајдер",
"request_interval": "Минимално време између захтева (0.1-60 секунди)",
@@ -77,7 +77,7 @@
"data": {
"model": "AI модел",
"temperature": "Креативност одговора (0-2)",
"max_tokens": "Максимална дужина одговора (1-4096)",
"max_tokens": "Максимална дужина одговора (1-100000)",
"request_interval": "Минимално време између захтева (0.1-60 секунди)",
"context_messages": "Број претходних порука које треба укључити у контекст (1-20)",
"max_history_size": "Максимална величина историје разговора (1-100)"
@@ -89,7 +89,8 @@
"api_provider": {
"options": {
"openai": "OpenAI (компатибилан)",
"anthropic": "Anthropic (компатибилан)"
"anthropic": "Anthropic (компатибилан)",
"deepseek": "DeepSeek"
}
}
},
@@ -124,7 +125,7 @@
},
"max_tokens": {
"name": "Максимални токени",
"description": "Максимална дужина одговора (1-4096 токена)"
"description": "Максимална дужина одговора (1-100000 токена)"
}
}
},
custom_components/ha_text_ai/translations/zh.json
+6 -5
View File
@@ -19,7 +19,7 @@
"model": "要使用的AI模型",
"api_endpoint": "自定义API端点URL（可选）",
"temperature": "响应创造力（0-2，越低越专注）",
"max_tokens": "最大响应长度（1-4096个标记）",
"max_tokens": "最大响应长度（1-100000个标记）",
"request_interval": "请求之间的最小时间（0.1-60秒）",
"context_messages": "保留的上下文消息数量（1-20）",
"max_history_size": "最大对话历史大小（1-100）"
@@ -33,7 +33,7 @@
"api_key": "用于身份验证的API密钥",
"model": "要使用的AI模型",
"temperature": "响应创造力（0-2，越低越专注）",
"max_tokens": "最大响应长度（1-4096个标记）",
"max_tokens": "最大响应长度（1-100000个标记）",
"api_endpoint": "自定义API端点URL（可选）",
"api_provider": "API提供者",
"request_interval": "请求之间的最小时间（0.1-60秒）",
@@ -77,7 +77,7 @@
"data": {
"model": "AI模型",
"temperature": "响应创造力（0-2）",
"max_tokens": "最大响应长度（1-4096）",
"max_tokens": "最大响应长度（1-100000）",
"request_interval": "最小请求间隔（0.1-60秒）",
"context_messages": "要包含在上下文中的先前消息数量（1-20）",
"max_history_size": "最大对话历史大小（1-100）"
@@ -89,7 +89,8 @@
"api_provider": {
"options": {
"openai": "OpenAI（兼容）",
"anthropic": "Anthropic（兼容）"
"anthropic": "Anthropic（兼容）",
"deepseek": "DeepSeek "
}
}
},
@@ -124,7 +125,7 @@
},
"max_tokens": {
"name": "最大标记数",
"description": "响应的最大长度（1-4096个标记）"
"description": "响应的最大长度（1-100000个标记）"
}
}
},