Release v2.1.1: Token Handling Improvement and DeepSeek Support

- 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).

.gitignore

@@ -38,3 +38,4 @@ Thumbs.db
 *.psd
 *.zip
 *.txt
+*.pdf

CODE_OF_CONDUCT.md

@@ -0,0 +1,128 @@
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, religion, or sexual identity
+and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the
+  overall community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or
+  advances of any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email
+  address, without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Enforcement Responsibilities
+
+Community leaders are responsible for clarifying and enforcing our standards of
+acceptable behavior and will take appropriate and fair corrective action in
+response to any behavior that they deem inappropriate, threatening, offensive,
+or harmful.
+
+Community leaders have the right and responsibility to remove, edit, or reject
+comments, commits, code, wiki edits, issues, and other contributions that are
+not aligned to this Code of Conduct, and will communicate reasons for moderation
+decisions when appropriate.
+
+## Scope
+
+This Code of Conduct applies within all community spaces, and also applies when
+an individual is officially representing the community in public spaces.
+Examples of representing our community include using an official e-mail address,
+posting via an official social media account, or acting as an appointed
+representative at an online or offline event.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported to the community leaders responsible for enforcement at
+issue tracker.
+All complaints will be reviewed and investigated promptly and fairly.
+
+All community leaders are obligated to respect the privacy and security of the
+reporter of any incident.
+
+## Enforcement Guidelines
+
+Community leaders will follow these Community Impact Guidelines in determining
+the consequences for any action they deem in violation of this Code of Conduct:
+
+### 1. Correction
+
+**Community Impact**: Use of inappropriate language or other behavior deemed
+unprofessional or unwelcome in the community.
+
+**Consequence**: A private, written warning from community leaders, providing
+clarity around the nature of the violation and an explanation of why the
+behavior was inappropriate. A public apology may be requested.
+
+### 2. Warning
+
+**Community Impact**: A violation through a single incident or series
+of actions.
+
+**Consequence**: A warning with consequences for continued behavior. No
+interaction with the people involved, including unsolicited interaction with
+those enforcing the Code of Conduct, for a specified period of time. This
+includes avoiding interactions in community spaces as well as external channels
+like social media. Violating these terms may lead to a temporary or
+permanent ban.
+
+### 3. Temporary Ban
+
+**Community Impact**: A serious violation of community standards, including
+sustained inappropriate behavior.
+
+**Consequence**: A temporary ban from any sort of interaction or public
+communication with the community for a specified period of time. No public or
+private interaction with the people involved, including unsolicited interaction
+with those enforcing the Code of Conduct, is allowed during this period.
+Violating these terms may lead to a permanent ban.
+
+### 4. Permanent Ban
+
+**Community Impact**: Demonstrating a pattern of violation of community
+standards, including sustained inappropriate behavior,  harassment of an
+individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within
+the community.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage],
+version 2.0, available at
+https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
+
+Community Impact Guidelines were inspired by [Mozilla's code of conduct
+enforcement ladder](https://github.com/mozilla/diversity).
+
+[homepage]: https://www.contributor-covenant.org
+
+For answers to common questions about this code of conduct, see the FAQ at
+https://www.contributor-covenant.org/faq. Translations are available at
+https://www.contributor-covenant.org/translations.

README.md

@@ -2,9 +2,11 @@
 
 <div align="center">  
 
-![GitHub release](https://img.shields.io/github/release/smkrv/ha-text-ai.svg?style=flat-square) ![GitHub last commit](https://img.shields.io/github/last-commit/smkrv/ha-text-ai.svg?style=flat-square) [![License: CC BY-NC-SA 4.0](https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg?style=flat-square)](https://creativecommons.org/licenses/by-nc-sa/4.0/) [![hacs_badge](https://img.shields.io/badge/HACS-Custom-41BDF5.svg?style=flat-square)](https://github.com/hacs/integration) ![/README.md](https://img.shields.io/badge/language-English-green?style=flat-square) ![/README_RU.md](https://img.shields.io/badge/language-Russian-green?style=flat-square) ![](https://img.shields.io/badge/language-Deutch-green?style=flat-square)
+  ![GitHub release](https://img.shields.io/github/release/smkrv/ha-text-ai.svg?style=flat-square) ![GitHub last commit](https://img.shields.io/github/last-commit/smkrv/ha-text-ai.svg?style=flat-square) [![License: CC BY-NC-SA 4.0](https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg?style=flat-square)](https://creativecommons.org/licenses/by-nc-sa/4.0/) [![hacs_badge](https://img.shields.io/badge/HACS-Custom-41BDF5.svg?style=flat-square)](https://github.com/hacs/integration)  
+![Deutsch](https://img.shields.io/badge/de-Deutsch-blue?style=flat-square) ![English](https://img.shields.io/badge/en-English-blue?style=flat-square) ![Español](https://img.shields.io/badge/es-Español-blue?style=flat-square) ![हिन्दी](https://img.shields.io/badge/hi-हिन्दी-blue?style=flat-square) ![Italiano](https://img.shields.io/badge/it-Italiano-blue?style=flat-square) ![Русский](https://img.shields.io/badge/ru-Русский-blue?style=flat-square) ![Српски](https://img.shields.io/badge/sr-Српски-blue?style=flat-square) ![中文](https://img.shields.io/badge/zh-中文-blue?style=flat-square)
 
-  <img src="https://github.com/smkrv/ha-text-ai/blob/e03b5315c2cc7b489a6e1175da728075275ed614/misc/icons/logo.png" alt="HA Text AI" style="width: 80%; max-width: 640px; max-height: 150px; aspect-ratio: 2/1; object-fit: contain;"/>
+
+  <img src="https://github.com/smkrv/ha-text-ai/blob/15c717fcb0204bf4a0d4b4b4c6f0bb93e9f6c9a9/custom_components/ha_text_ai/icons/logo%402x.png" alt="HA Text AI" style="width: 50%; max-width: 256px; max-height: 128px; aspect-ratio: 2/1; object-fit: contain;"/>
 
 ### Advanced AI Integration for [Home Assistant](https://www.home-assistant.io/) with LLM multi-provider support
 </div>
@@ -17,13 +19,11 @@ Transform your smart home experience with powerful AI assistance powered by mult
 ---
 
 > [!IMPORTANT]
-> 🚧 BETA VERSION  
-> Expect: potential bugs, frequent changes, incomplete features.  
 > 🤝 Community Driven  
 >
 >  <a href="https://community.home-assistant.io/t/ha-text-ai-transforming-home-automation-with-multi-provider-language-models/799741"><img src="https://img.shields.io/badge/Community-blue?style=for-the-badge&logo=homeassistant&logoColor=white&color=03a9f4"/></a>  
 >  
-> [Screenshots](misc/screenshots/screenshot.jpg)
+> [Screenshots](assets/images/screenshots/screenshot.jpg)
 
 ## 🌟 Features
 
@@ -89,13 +89,28 @@ Transform your smart home experience with powerful AI assistance powered by mult
 
 </details>
 
+#### 🌐 Translations
+
+| Code | Language | Status |
+|------|----------|--------|
+| 🇩🇪 de | Deutsch | Full |
+| 🇬🇧 en | English | Primary |
+| 🇪🇸 es | Español | Full |
+| 🇮🇳 hi | हिन्दी | Full |
+| 🇮🇹 it | Italiano | Full |
+| 🇷🇺 ru | Русский | Full |
+| 🇷🇸 sr | Српски | Full |
+| 🇨🇳 zh | 中文 | Full |
+
 ## 📋 Prerequisites
 
 - Home Assistant 2024.11 or later
 - Active API key from:
   - OpenAI ([Get key](https://platform.openai.com/account/api-keys))
   - Anthropic ([Get key](https://console.anthropic.com/))
+  - DeepSeek 🆕 ([Get key](https://platform.deepseek.com/api_keys)) 
   - OpenRouter ([Get key](https://openrouter.ai/keys))
+  - Any OpenAI-compatible API provider
 - Python 3.9 or newer
 - Stable internet connection
 
@@ -106,7 +121,7 @@ Transform your smart home experience with powerful AI assistance powered by mult
 - 🔑 **API Key**: Provider-specific authentication
 - 🤖 **Model Selection**: Flexible, provider-specific models
 - 🌡️ **Temperature**: Creativity control (0.0-2.0)
-- 📏 **Max Tokens**: Response length limit (token usage is estimated using a heuristic method based on word count and specific word characteristics, which may differ from actual token usage)
+- 📏 **Max Tokens**: Response length limit (passed directly to the LLM API to control the maximum length of the response)
 - ⏱️ **Request Interval**: API call throttling
 - 💾 **History Size**: Number of messages to retain
 - 🌍 **Custom API Endpoint**: Optional advanced configuration
@@ -136,6 +151,7 @@ To be compatible, a provider should support:
 - JSON request/response format
 - Standard authentication method
 - Similar model parameter handling
+
 </details>
 
 ## ⚡ Installation
@@ -151,6 +167,8 @@ To be compatible, a provider should support:
 7. Click "Download"
 8. Restart Home Assistant
 
+Note: Also Integration has been submitted to HACS store and is currently pending review in [pull request #2896](https://github.com/hacs/default/pull/2896).
+
 ### Manual Installation
 1. Download the latest release
 2. Extract and copy `custom_components/ha_text_ai` to your `custom_components` directory
@@ -238,12 +256,14 @@ data:
   max_tokens: 500  # optional
   context_messages: 10  #optional, number of previous messages to include in context, default: 5
   system_prompt: "You are a sleep optimization expert"  # optional
+  instance: sensor.ha_text_ai_gpt
 ```
 
 ### set_system_prompt
 ```yaml
 service: ha_text_ai.set_system_prompt
 data:
+  instance: sensor.ha_text_ai_gpt
   prompt: |
     You are a home automation expert focused on:
     1. Energy efficiency
@@ -255,6 +275,8 @@ data:
 ### clear_history
 ```yaml
 service: ha_text_ai.clear_history
+data:
+  instance: sensor.ha_text_ai_gpt
 ```
 
 ### get_history
@@ -263,6 +285,7 @@ service: ha_text_ai.get_history
 data:
   limit: 5  # optional
   filter_model: "gpt-4o"  # optional
+  instance: sensor.ha_text_ai_gpt
 ```
 
 ### 🏷️ HA Text AI Sensor Naming Convention
@@ -299,6 +322,7 @@ automation:
       - service: ha_text_ai.ask_question
         data:
           question: "Home automation advice"
+          instance: sensor.ha_text_ai_gpt
       - service: notify.mobile
         data:
           message: >
@@ -384,7 +408,7 @@ automation:
 # Number of entries in current history file
 {{ state_attr('sensor.ha_text_ai_gpt', 'History size') }}          # 0  
 
-# Last few conversation entries (limited to 3 for performance)
+# Last few conversation entries (limited to 1 for performance)
 {{ state_attr('sensor.ha_text_ai_gpt', 'conversation_history') }}  # [...]
 ```
 
@@ -507,10 +531,11 @@ If you want to say thanks financially, you can send a small token of appreciatio
 
 ---
 
-<div align="center"><img src="https://github.com/smkrv/ha-text-ai/blob/f2a41aaa2cd88adaf6929ba5f228205a315efdfa/custom_components/ha_text_ai/icons/dark_icon%402x.png" alt="HA Text AI" style="width: 128px; height: auto;"/></div>  
+<div align="center"><img src="https://github.com/smkrv/ha-text-ai/blob/2aaf3405759eb2d97624834594e24ace896131df/assets/images/icons/footer_icon.png" alt="HA Text AI" style="width: 128px; height: auto;"/></div>  
 <div align="center">
 
-Made with ❤️ and Claude 3.5 Sonnet for the Home Assistant Community
+Made with ❤️ for the Home Assistant Community,  
+utilizing Claude 3.5 Sonnet, Gemini Pro 1.5, and Qwen 2.5 Coder 32B Instruct.
 
 [Report Bug](https://github.com/smkrv/ha-text-ai/issues) · [Request Feature](https://github.com/smkrv/ha-text-ai/issues)
 

custom_components/ha_text_ai/__init__.py

@@ -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

@@ -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

@@ -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 = (
+            # Выбор endpoint по провайдеру
-                DEFAULT_OPENAI_ENDPOINT if self._provider == API_PROVIDER_OPENAI
+            default_endpoint = {
-                else DEFAULT_ANTHROPIC_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

@@ -6,6 +6,8 @@ Constants for the HA text AI integration.
 @github: https://github.com/smkrv/ha-text-ai
 @source: https://github.com/smkrv/ha-text-ai
 """
+import os
+import json
 from typing import Final
 import voluptuous as vol
 from homeassistant.const import Platform, CONF_API_KEY, CONF_NAME
@@ -19,15 +21,34 @@ 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
+MANIFEST_PATH = os.path.join(os.path.dirname(__file__), "manifest.json")
+try:
+    with open(MANIFEST_PATH) as manifest_file:
+        manifest = json.load(manifest_file)
+        VERSION = manifest.get("version", "unknown")
+except FileNotFoundError:
+    VERSION = "unknown"
+    _LOGGER.warning("manifest.json not found at %s", MANIFEST_PATH)
+except json.JSONDecodeError as err:
+    VERSION = "unknown"
+    _LOGGER.error("Error decoding JSON from manifest.json: %s", err)
+except Exception as err:
+    VERSION = "unknown"
+    _LOGGER.error("Error reading manifest.json: %s", 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"
@@ -47,6 +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
@@ -56,11 +78,13 @@ DEFAULT_NAME: Final = "HA Text AI"
 DEFAULT_NAME_PREFIX = "ha_text_ai"
 DEFAULT_CONTEXT_MESSAGES: Final = 5
 
+TRUNCATION_INDICATOR = " ... "
+
 # Parameter constraints
 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

@@ -41,6 +41,7 @@ from .const import (
     ABSOLUTE_MAX_HISTORY_SIZE,
     MAX_ATTRIBUTE_SIZE,
     MAX_HISTORY_FILE_SIZE,
+    TRUNCATION_INDICATOR,
 )
 
 _LOGGER = logging.getLogger(__name__)
@@ -173,7 +174,6 @@ class HATextAICoordinator(DataUpdateCoordinator):
 
         self.available = True
         self._state = STATE_READY
-        self._conversation_history = []  # Full conversation history
 
         self._start_time = dt_util.utcnow()
 
@@ -404,17 +404,32 @@ class HATextAICoordinator(DataUpdateCoordinator):
 
     async def async_initialize_history_file(self) -> None:
         """
-        Asynchronously initialize history file.
+        Asynchronously initialize history file and load existing history.
         """
         try:
-            # Ensure directory exists first
             await self._create_history_dir()
 
-            # Initialize file
+            if await self._file_exists(self._history_file):
-            if not await self._file_exists(self._history_file):
+                # Load existing history
+                async with AsyncFileHandler(self._history_file, 'r') as f:
+                    content = await f.read()
+                    if content:
+                        history = json.loads(content)
+                        # Validate and load history
+                        if isinstance(history, list):
+                            self._conversation_history = history[-self.max_history_size:]
+                            _LOGGER.debug(
+                                f"Loaded {len(self._conversation_history)} history entries "
+                                f"for {self.instance_name}"
+                            )
+            else:
+                # Create new history file
                 async with AsyncFileHandler(self._history_file, 'w') as f:
                     await f.write(json.dumps([]))
 
+            await self._check_history_size()
+            await self.async_update_ha_state()
+
             _LOGGER.debug(f"History file initialized: {self._history_file}")
 
         except Exception as e:
@@ -504,6 +519,15 @@ class HATextAICoordinator(DataUpdateCoordinator):
             _LOGGER.error(f"Error writing history entry: {e}")
             _LOGGER.debug(traceback.format_exc())
 
+    async def _check_history_size(self) -> None:
+        """Verify and adjust history size if needed."""
+        if len(self._conversation_history) > self.max_history_size:
+            _LOGGER.warning(
+                f"History size ({len(self._conversation_history)}) exceeds "
+                f"maximum ({self.max_history_size}). Trimming..."
+            )
+            self._conversation_history = self._conversation_history[-self.max_history_size:]
+
     async def _check_file_size(self, file_path: str) -> int:
         """
         Check file size asynchronously.
@@ -624,15 +648,14 @@ class HATextAICoordinator(DataUpdateCoordinator):
 
     async def _async_update_data(self) -> Dict[str, Any]:
         """Update coordinator data with improved error handling and performance."""
-
         try:
             async with asyncio.Semaphore(1):
                 current_state = self._get_current_state()
 
-                limited_history = await self._get_limited_history()
+                # Get limited history with info
+                history_data = await self._get_limited_history()
 
                 metrics = await self._get_current_metrics()
-
                 if metrics is None:
                     metrics = {}
 
@@ -647,47 +670,68 @@ class HATextAICoordinator(DataUpdateCoordinator):
                     "uptime": self._calculate_uptime(),
                     "system_prompt": self._get_truncated_system_prompt(),
                     "history_size": len(self._conversation_history),
-                    "conversation_history": limited_history,
+                    "conversation_history": history_data["entries"],
+                    "history_info": history_data["info"],
                     "normalized_name": self.normalized_name,
                 }
 
                 await self._validate_update_data(data)
-
                 return data
 
-        except asyncio.CancelledError:
-            _LOGGER.warning("Update was cancelled")
-            raise
         except Exception as err:
             _LOGGER.error(f"Error updating data: {err}", exc_info=True)
             return self._get_safe_initial_state()
 
-    async def _get_limited_history(self) -> List[Dict[str, Any]]:
+    async def _get_limited_history(self) -> Dict[str, Any]:
-        """Get limited conversation history with size constraints."""
+        """Get limited conversation history showing only last Q&A."""
         limited_history = []
+
         if self._conversation_history:
-            for entry in self._conversation_history[-3:]:
+            last_entry = self._conversation_history[-1]
-                limited_entry = {
+            limited_entry = {
-                    "timestamp": entry["timestamp"],
+                "timestamp": last_entry["timestamp"],
-                    "question": self._truncate_text(entry["question"]),
+                "question": last_entry["question"][:4096] + (TRUNCATION_INDICATOR if len(last_entry["question"]) > 4096 else ""),
-                    "response": self._truncate_text(entry["response"]),
+                "response": last_entry["response"][:4096] + (TRUNCATION_INDICATOR if len(last_entry["response"]) > 4096 else ""),
-                }
+            }
-                limited_history.append(limited_entry)
+            limited_history.append(limited_entry)
-        return limited_history
+
+        history_info = {
+            "total_entries": len(self._conversation_history),
+            "displayed_entries": len(limited_history),
+            "full_history_available": True,
+            "history_path": self._history_file,
+        }
+
+        return {
+            "entries": limited_history,
+            "full_history": self._conversation_history,
+            "info": history_info
+        }
+
+    async def _get_sanitized_last_response(self) -> Dict[str, Any]:
+        """Get sanitized version of last response with truncation indicators."""
+        response = self.last_response.copy()
+
+        if "response" in response:
+            original_response = response["response"]
+            is_response_truncated = len(original_response) > 4096
+            response["response"] = original_response[:4096] + (TRUNCATION_INDICATOR if is_response_truncated else "")
+            response["is_response_truncated"] = is_response_truncated
+            response["full_response_length"] = len(original_response)
+
+        if "question" in response:
+            original_question = response["question"]
+            is_question_truncated = len(original_question) > 4096
+            response["question"] = original_question[:4096] + (TRUNCATION_INDICATOR if is_question_truncated else "")
+            response["is_question_truncated"] = is_question_truncated
+            response["full_question_length"] = len(original_question)
+
+        return response
 
     def _truncate_text(self, text: str, max_length: int = MAX_ATTRIBUTE_SIZE) -> str:
         """Safely truncate text to maximum length."""
         return text[:max_length] if text else ""
 
-    async def _get_sanitized_last_response(self) -> Dict[str, Any]:
-        """Get sanitized version of last response."""
-        response = self.last_response.copy()
-        if "response" in response:
-            response["response"] = self._truncate_text(response["response"])
-        if "question" in response:
-            response["question"] = self._truncate_text(response["question"])
-        return response
-
     def _calculate_uptime(self) -> float:
         """Calculate current uptime in seconds."""
         return (dt_util.utcnow() - self._start_time).total_seconds()
@@ -752,46 +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,
@@ -832,9 +836,7 @@ class HATextAICoordinator(DataUpdateCoordinator):
             system_prompt: Optional[str] = None,
             context_messages: Optional[int] = None,
         ) -> dict:
-            """
+            """Process question with context management."""
-            Enhanced question processing with intelligent token management.
-            """
             if self.client is None:
                 raise HomeAssistantError("AI client not initialized")
 
@@ -856,62 +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
+                # Process message
-                _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
                 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

@@ -23,6 +23,6 @@
   "single_config_entry": false,
   "ssdp": [],
   "usb": [],
-  "version": "2.0.7-beta",
+  "version": "2.1.1",
   "zeroconf": []
 }

custom_components/ha_text_ai/sensor.py

@@ -68,6 +68,7 @@ from .const import (
     DEFAULT_NAME_PREFIX,
     CONF_MAX_HISTORY_SIZE,
     MAX_ATTRIBUTE_SIZE,
+    VERSION,
 )
 
 from .coordinator import HATextAICoordinator
@@ -154,7 +155,7 @@ class HATextAISensor(CoordinatorEntity, SensorEntity):
             name=self._attr_name,
             manufacturer="Community",
             model=f"{model} ({api_provider} provider)",
-            sw_version="1.0.0",
+            sw_version=VERSION,
         )
 
         _LOGGER.debug(

custom_components/ha_text_ai/translations/de.json

@@ -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

@@ -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

@@ -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)"
@@ -89,13 +89,14 @@
     "api_provider": {
       "options": {
         "openai": "OpenAI (compatible)",
-        "anthropic": "Anthropic (compatible)"
+        "anthropic": "Anthropic (compatible)",
+        "deepseek": "DeepSeek"
       }
     }
   },
   "services": {
     "ask_question": {
-      "name": "Hacer Pregunta (IA de Texto de HA)",
+      "name": "Hacer Pregunta (HA Text AI)",
       "description": "Envía una pregunta al modelo de IA y recibe una respuesta detallada. La respuesta se almacenará en el historial de conversación y se podrá recuperar más tarde.",
       "fields": {
         "instance": {
@@ -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

@@ -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)"
@@ -89,13 +89,14 @@
     "api_provider": {
       "options": {
         "openai": "OpenAI (अनुकूलित)",
-        "anthropic": "Anthropic (अनुकूलित)"
+        "anthropic": "Anthropic (अनुकूलित)",
+        "deepseek": "DeepSeek"
       }
     }
   },
   "services": {
     "ask_question": {
-      "name": "प्रश्न पूछें (एचए टेक्स्ट एआई)",
+      "name": "प्रश्न पूछें (HA Text AI)",
       "description": "एआई मॉडल को एक प्रश्न भेजें और विस्तृत प्रतिक्रिया प्राप्त करें। प्रतिक्रिया बातचीत के इतिहास में संग्रहीत की जाएगी और बाद में पुनर्प्राप्त की जा सकती है।",
       "fields": {
         "instance": {
@@ -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

@@ -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

@@ -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)"
@@ -89,13 +89,14 @@
     "api_provider": {
       "options": {
         "openai": "OpenAI (совместимый)",
-        "anthropic": "Anthropic (совместимый)"
+        "anthropic": "Anthropic (совместимый)",
+        "deepseek": "DeepSeek"
       }
     }
   },
   "services": {
     "ask_question": {
-      "name": "Задать вопрос (Текстовый ИИ HA)",
+      "name": "Задать вопрос (HA Text AI)",
       "description": "Отправить вопрос модели ИИ и получить подробный ответ. Ответ будет сохранен в истории разговора и может быть получен позже.",
       "fields": {
         "instance": {
@@ -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

@@ -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

@@ -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）"
@@ -89,13 +89,14 @@
     "api_provider": {
       "options": {
         "openai": "OpenAI（兼容）",
-        "anthropic": "Anthropic（兼容）"
+        "anthropic": "Anthropic（兼容）",
+        "deepseek": "DeepSeek "
       }
     }
   },
   "services": {
     "ask_question": {
-      "name": "提问（HA文本AI）",
+      "name": "提问 (HA Text AI)",
       "description": "向AI模型发送问题并接收详细响应。响应将存储在对话历史中，可以稍后检索。",
       "fields": {
         "instance": {
@@ -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）"
         }
       }
     },

structure.md

@@ -1,32 +1,30 @@
 ```
-ha-text-ai/
+ha_text_ai/
-├── custom_components
+├── __init__.py
-│   └── ha_text_ai
+├── api_client.py
-│       ├── __init__.py
+├── config_flow.py
-│       ├── api_client.py
+├── const.py
-│       ├── config_flow.py
+├── coordinator.py
-│       ├── const.py
+├── icons
-│       ├── coordinator.py
+│   ├── dark_icon.png
-│       ├── icons
+│   ├── dark_icon@2x.png
-│       │   ├── dark_icon.png
+│   ├── dark_logo.png
-│       │   ├── dark_icon@2x.png
+│   ├── dark_logo@2x.png
-│       │   ├── dark_logo.png
+│   ├── icon.png
-│       │   ├── dark_logo@2x.png
+│   ├── icon@2x.png
-│       │   ├── icon.png
+│   ├── logo.png
-│       │   ├── icon@2x.png
+│   └── logo@2x.png
-│       │   ├── logo.png
+├── manifest.json
-│       │   └── logo@2x.png
+├── sensor.py
-│       ├── manifest.json
+├── services.yaml
-│       ├── sensor.py
+└── translations
-│       ├── services.yaml
+    ├── de.json
-│       └── translations
+    ├── en.json
-│           ├── de.json
+    ├── es.json
-│           ├── en.json
+    ├── hi.json
-│           ├── es.json
+    ├── it.json
-│           ├── hi.json
+    ├── ru.json
-│           ├── it.json
+    ├── sr.json
-│           ├── ru.json
+    └── zh.json
-│           ├── sr.json
-│           └── zh.json
 
 ```