refactor(google-gemini): rewrite integration using google-genai 1.16.0

Completely rewrote the Google Gemini integration logic based on google-genai 1.16.0 to fix issue #6.
Key changes:
- Updated to the latest google-genai library
- Made API endpoint abstract while retaining option for custom endpoint configuration
- Refactored logic and classes exclusively within Google Gemini implementation
- All changes are limited to Google Gemini integration refactoring with no impact on other functionality.

.gitignore

@@ -1,40 +0,0 @@
-# Python
-__pycache__/
-*.py[cod]
-*$py.class
-*.so
-.Python
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-
-# Home Assistant
-.storage
-.cloud
-.google.token
-
-# IDE
-.idea/
-.vscode/
-*.swp
-*.swo
-*~
-
-# OS
-.DS_Store
-Thumbs.db
-*.psd
-*.zip
-*.txt

CODE_OF_CONDUCT.md

@@ -0,0 +1,128 @@
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LICENSE

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README.md

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+  ![GitHub release](https://img.shields.io/github/v/release/smkrv/ha-text-ai?style=flat-square) ![GitHub last commit](https://img.shields.io/github/last-commit/smkrv/ha-text-ai?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/lang-DE-blue?style=flat-square) ![English](https://img.shields.io/badge/lang-EN-blue?style=flat-square) ![Español](https://img.shields.io/badge/lang-ES-blue?style=flat-square) ![हिन्दी](https://img.shields.io/badge/lang-HI-blue?style=flat-square) ![Italiano](https://img.shields.io/badge/lang-IT-blue?style=flat-square) ![Русский](https://img.shields.io/badge/lang-RU-blue?style=flat-square) ![Српски](https://img.shields.io/badge/lang-SR-blue?style=flat-square) ![中文](https://img.shields.io/badge/lang-ZH-blue?style=flat-square)
 
-  <img src="https://github.com/smkrv/ha-text-ai/blob/524849f6a945ec62c2cf6a6b7ecd9a28b37bf0fa/misc/icons/logo.jpg" alt="HA Text AI" height="160"/>
 
-### Advanced AI Integration for Home Assistant with LLM multi-provider support
+  <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>
 
 <p align="center">
-Transform your smart home experience with powerful AI assistance powered by multiple AI providers including OpenAI GPT and Anthropic Claude models. Get intelligent responses, automate complex scenarios, and enhance your home automation with advanced natural language processing.
+Transform your smart home experience with powerful AI assistance powered by multiple AI providers including OpenAI GPT, DeepSeek and Anthropic Claude models. Get intelligent responses, automate complex scenarios, and enhance your home automation with advanced natural language processing.
 
 </p>
 
 ---
 
 > [!IMPORTANT]
-> 🚧 ALPHA VERSION 🚧  
+> 🤝 Community Driven: for more details on the integration,   
-> Expect: potential bugs, frequent changes, incomplete features.  
+> check out the discussion on the **[Home Assistant Community forum](https://community.home-assistant.io/t/ha-text-ai-transforming-home-automation-through-multi-llm-integration/799741)**
-> 🤝 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>  
+>  <a href="https://my.home-assistant.io/redirect/hacs_repository/?owner=smkrv&repository=ha-text-ai&category=Integration"><img src="https://my.home-assistant.io/badges/hacs_repository.svg" width="210" height="auto"></a>
+>  
+> [Screenshots](assets/images/screenshots/screenshot.jpg)
 
 ## 🌟 Features
 
-- 🧠 **Multi-Provider AI Integration**:
+- 🧠 **Multi-Provider AI Integration**: Support for OpenAI GPT, DeepSeek and Anthropic Claude models
-  - Support for OpenAI GPT models
+- 💬 **Advanced Language Processing**: Context-aware, multi-turn conversations
-  - Anthropic Claude integration
+- 📝 **Enhanced Memory Management**: Secure file-based history storage
-  - Custom API endpoints
+- ⚡ **Performance Optimization**: Efficient token usage and smart rate limiting
-  - Flexible model selection
+- 🎯 **Advanced Customization**: Per-request model and parameter selection
+- 🔒 **Enhanced Security**: Secure API key management and usage monitoring
+- 🎨 **Improved User Experience**: Intuitive configuration and rich interfaces
+- 🔄 **Automation Integration**: Event-driven responses and template compatibility
 
-- 💬 **Advanced Language Processing**:
+<details>
-  - Context-aware responses
+<summary>📦 Detailed Feature Breakdown</summary>
-  - Multi-turn conversations
-  - Custom system instructions
-  - Natural conversation flow
 
-- 📝 **Enhanced Memory Management**:
+### 🧠 **Multi-Provider AI Integration**
-  - Persistent conversation history
+- Support for OpenAI GPT models
-  - Context-aware responses
+- Anthropic Claude integration
-  - Customizable history limits
+- DeepSeek integration
-  - Model-specific filtering
+- Custom API endpoints
+- Flexible model selection
 
-- ⚡ **Performance Optimization**:
+### 💬 **Advanced Language Processing**
-  - Efficient token usage
+- Context-aware responses
-  - Smart rate limiting
+- Multi-turn conversations
-  - Response caching
+- Custom system instructions
-  - Request interval control
+- Natural conversation flow
 
-- 🎯 **Advanced Customization**:
+### 📝 **Enhanced Memory Management**
-  - Per-request model selection
+- File-based conversation history storage
-  - Adjustable parameters
+- Automatic history rotation
-  - Custom system prompts
+- Configurable history size limits
-  - Temperature control
+- Secure storage in Home Assistant
 
-- 🔒 **Enhanced Security**:
+### ⚡ **Performance Optimization**
-  - Secure API key storage
+- Efficient token usage
-  - Rate limiting protection
+- Smart rate limiting
-  - Error handling
+- Response caching
-  - Usage monitoring
+- Request interval control
 
-- 🎨 **Improved User Experience**:
+### 🎯 **Advanced Customization**
-  - Intuitive configuration UI
+- Per-request model selection
-  - Detailed sensor attributes
+- Adjustable parameters
-  - Rich service interface
+- Custom system prompts
-  - Model selection UI
+- Temperature control
 
-- 🔄 **Automation Integration**:
+### 🔒 **Enhanced Security**
-  - Event-driven responses
+- Secure API key storage
-  - Conditional logic support
+- Rate limiting protection
-  - Template compatibility
+- Error handling
-  - Model-specific automation
+- Usage monitoring
+
+### 🎨 **Improved User Experience**
+- Intuitive configuration UI
+- Detailed sensor attributes
+- Rich service interface
+- Model selection UI
+
+### 🔄 **Automation Integration**
+- Event-driven responses
+- Conditional logic support
+- Template compatibility
+- Model-specific automation
+
+</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
+- Home Assistant 2024.2.2 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))
+  - Google Gemini 🆕 ([Get key](https://ai.google.dev/gemini-api/docs/api-key)) thanks to ([@Azzedde](https://github.com/Azzedde))
+  - Any OpenAI-compatible API provider
 - Python 3.9 or newer
 - Stable internet connection
 
-### Configuration Options
+## Configuration Options
-- API Provider (OpenAI/Anthropic)
-- API Key (provider-specific)
-- Model Selection (flexible, provider-specific models)
-- Temperature (Creativity control, 0.0-2.0)
-- Max Tokens (Response length limit)
-- Request Interval (API call throttling)
-- Custom API Endpoint (optional)
 
-#### ⓘ Potentially Compatible Providers  
+### 🔧 **Core Configuration Settings**
-The integration is designed to be flexible and may work with other providers offering OpenAI-compatible APIs:  
+- 🌐 **API Provider**: OpenAI/Anthropic/DeepSeek
-- Groq  
+- 🔑 **API Key**: Provider-specific authentication
-- Together AI  
+- 🤖 **Model Selection**: Flexible, provider-specific models
-- Perplexity AI  
+- 🌡️ **Temperature**: Creativity control (0.0-2.0)
-- Mistral AI  
+- 📏 **Max Tokens**: Response length limit (passed directly to the LLM API to control the maximum length of the response)
-- Google AI  
+- ⏱️ **Request Interval**: API call throttling
-- Local AI servers (like Ollama)  
+- 💾 **History Size**: Number of messages to retain
-- Custom OpenAI-compatible endpoints  
+- 🌍 **Custom API Endpoint**: Optional advanced configuration
 
-#### Additional Notes  
+<details>
-- Not all providers guarantee full compatibility  
+<summary>🌐 Potentially Compatible Providers</summary>
-- Performance may vary between providers  
+
-- Check individual provider's documentation  
+#### Flexible Provider Ecosystem
+The integration is designed to be flexible and may work with other providers offering OpenAI-compatible APIs:
+- Groq
+- Together AI
+- Perplexity AI
+- Mistral AI
+- Google AI
+- Local AI servers (like Ollama)
+- Custom OpenAI-compatible endpoints
+
+#### 🚨 Compatibility Notes
+- Not all providers guarantee full compatibility
+- Performance may vary between providers
+- Check individual provider's documentation
 - Ensure your API key has sufficient credits/quota
 
-#### Provider Compatibility Requirements  
+#### 🔍 Provider Compatibility Requirements
-To be compatible, a provider should support:  
+To be compatible, a provider should support:
-- OpenAI-like REST API structure  
+- OpenAI-like REST API structure
-- JSON request/response format  
+- JSON request/response format
-- Standard authentication method  
+- Standard authentication method
 - Similar model parameter handling
 
+</details>
+
 ## ⚡ Installation
 
 ### HACS Installation (Recommended)
+>[!TIP]
+>HA Text AI is available in the default HACS repository. You can install it directly through HACS or click the button below to open it there.
+
 <a href="https://my.home-assistant.io/redirect/hacs_repository/?owner=smkrv&repository=ha-text-ai&category=Integration"><img src="https://my.home-assistant.io/badges/hacs_repository.svg" width="170" height="auto"></a>
 1. Open HACS in Home Assistant
 2. Click on "Integrations"
@@ -142,7 +187,8 @@ To be compatible, a provider should support:
 3. Search for "HA Text AI"
 4. Follow the configuration steps
 
-### Via YAML
+<details>
+<summary>📦 Via YAML (Advanced)</summary>
 
 ### Platform Configuration (Global Settings)
 
@@ -186,6 +232,8 @@ sensor:
 | `request_interval` | Float | ❌ | 1.0 | Delay between API requests |
 | `api_endpoint` | URL | ⚠️ | Provider default | Custom API endpoint |
 | `system_prompt` | String | ❌ | - | Default context for AI interactions |
+| `max_history_size` | Integer | ❌ | 100 | Maximum number of conversation entries to store |
+| `history_file_size` | Integer | ⚠️  | 1 | Maximum history file size in MB |
 
 #### Sensor Configuration
 
@@ -198,6 +246,8 @@ sensor:
 | `temperature` | Float | ❌ | Platform setting | Override global temperature |
 | `max_tokens` | Integer | ❌ | Platform setting | Override global max tokens |
 
+</details>
+
 ## 🛠️ Available Services
 
 ### ask_question
@@ -210,12 +260,14 @@ 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
@@ -227,6 +279,8 @@ data:
 ### clear_history
 ```yaml
 service: ha_text_ai.clear_history
+data:
+  instance: sensor.ha_text_ai_gpt
 ```
 
 ### get_history
@@ -235,6 +289,7 @@ 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
@@ -243,7 +298,7 @@ data:
 - Only lowercase letters (a-z)  
 - Numbers (0-9)  
 - Underscore (_)  
-- Maximum length: 50 characters (including `ha_text_ai_` prefix (14 characters)
+- Maximum length: 50 characters (including `ha_text_ai_`)
 
 #### Sensor Name Structure
 ```yaml
@@ -254,7 +309,7 @@ sensor.ha_text_ai_YOUR_UNIQUE_SUFFIX
 # Examples:
 sensor.ha_text_ai_gpt      # GPT-based sensor
 sensor.ha_text_ai_claude   # Claude-based sensor
-sensor.ha_text_ai_gpt   # Custom suffix
+sensor.ha_text_ai_abc      # Custom suffix
 ```
 
 #### Response Retrieval
@@ -271,6 +326,7 @@ automation:
       - service: ha_text_ai.ask_question
         data:
           question: "Home automation advice"
+          instance: sensor.ha_text_ai_gpt
       - service: notify.mobile
         data:
           message: >
@@ -287,6 +343,16 @@ automation:
 
 ### 🔍 HA Text AI Sensor Attributes
 
+- 🤖 **Model and Provider Information**: Tracking current AI model and service provider
+- 🚦 **System Status**: Real-time API and processing readiness
+- 📊 **Performance Metrics**: Request success rates and response times
+- 💬 **Conversation Tracking**: Token usage and interaction history are estimated using a heuristic method based on word count and specific word characteristics, which may differ from actual token usage.
+- 🕒 **Last Interaction Details**: Recent query and response tracking
+- ❤️ **System Health**: Error monitoring and service uptime
+
+<details>
+<summary>📦 Detailed Sensor Attributes</summary>
+
 #### Model and Provider Information
 ```yaml
 # Name of the AI model currently in use (e.g., latest version of GPT)  
@@ -342,6 +408,12 @@ automation:
 
 # Tokens used in the AI's generated responses  
 {{ state_attr('sensor.ha_text_ai_gpt', 'Completion tokens') }}     # 0
+
+# Number of entries in current history file
+{{ state_attr('sensor.ha_text_ai_gpt', 'History size') }}          # 0  
+
+# Last few conversation entries (limited to 1 for performance)
+{{ state_attr('sensor.ha_text_ai_gpt', 'conversation_history') }}  # [...]
 ```
 
 #### Last Interaction Details
@@ -368,11 +440,19 @@ automation:
 {{ state_attr('sensor.ha_text_ai_gpt', 'Uptime') }}          # 547,58
 ```
 
+### History Storage
+Conversation history stored in `.storage/ha_text_ai_history/` directory:
+- Each instance has its own history file (JSON)
+- Files are automatically rotated when size limit is reached
+- Archived history files are timestamped
+- Default maximum file size: 1MB
+
 ### 💡 Pro Tips
 - Always check attribute existence
 - Use these attributes for monitoring and automation
 - Some values might be 0 or empty initially
 
+</details>
 
 ## 📘 FAQ
 
@@ -400,6 +480,15 @@ A: Yes, your data is secure. The system operates entirely on your local machine,
 **Q: How do context messages work?**
 A: Context messages allow the AI to remember and reference previous conversation history. By default, 5 previous messages are included, but you can customize this from 1 to 20 messages to control the conversation depth and token usage.
 
+**Q: Where is conversation history stored?**  
+A: History is stored in files under the `.storage/ha_text_ai_history/` directory, with automatic rotation and size management.
+
+**Q: Can I access old conversation history?**  
+A: Yes, archived history files are stored with timestamps and can be accessed manually if needed.
+
+**Q: How much history is kept?**  
+A: By default, up to 100 conversations are stored, but this can be configured. Files are automatically rotated when they reach 1MB.
+
 ## 🤝 Contributing
 
 Contributions welcome! Please read our [Contributing Guide](CONTRIBUTING.md).
@@ -410,9 +499,23 @@ Contributions welcome! Please read our [Contributing Guide](CONTRIBUTING.md).
 4. Push branch (`git push origin feature/Enhancement`)
 5. Open Pull Request
 
+## Legal Disclaimer and Limitation of Liability  
+
+### Software Disclaimer  
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,   
+INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A   
+PARTICULAR PURPOSE AND NONINFRINGEMENT.  
+
+IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,   
+DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,   
+ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER   
+DEALINGS IN THE SOFTWARE.  
+
 ## 📝 License
 
-MIT License - see [LICENSE](LICENSE) for details.
+Author: SMKRV
+[CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) - see [LICENSE](LICENSE) for details.
 
 ## 💡 Support the Project
 
@@ -432,9 +535,11 @@ 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/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

@@ -1,11 +1,19 @@
-"""The HA Text AI integration."""
+"""
+The HA Text AI integration.
+
+@license: CC BY-NC-SA 4.0 International
+@author: SMKRV
+@github: https://github.com/smkrv/ha-text-ai
+@source: https://github.com/smkrv/ha-text-ai
+"""
 from __future__ import annotations
 
 import logging
 import os
 import shutil
+import hashlib
 from datetime import datetime, timedelta
-from typing import Any, Dict
+from typing import Any, Dict, TypeVar
 
 import voluptuous as vol
 from async_timeout import timeout
@@ -31,11 +39,17 @@ from .const import (
     CONF_CONTEXT_MESSAGES,
     API_PROVIDER_OPENAI,
     API_PROVIDER_ANTHROPIC,
+    API_PROVIDER_DEEPSEEK,
+    API_PROVIDER_GEMINI,
     DEFAULT_MODEL,
+    DEFAULT_DEEPSEEK_MODEL,
+    DEFAULT_GEMINI_MODEL,
     DEFAULT_TEMPERATURE,
     DEFAULT_MAX_TOKENS,
     DEFAULT_OPENAI_ENDPOINT,
     DEFAULT_ANTHROPIC_ENDPOINT,
+    DEFAULT_DEEPSEEK_ENDPOINT,
+    DEFAULT_GEMINI_ENDPOINT,
     DEFAULT_REQUEST_INTERVAL,
     DEFAULT_CONTEXT_MESSAGES,
     API_TIMEOUT,
@@ -45,11 +59,13 @@ from .const import (
     SERVICE_SET_SYSTEM_PROMPT,
     DEFAULT_MAX_HISTORY,
     CONF_MAX_HISTORY_SIZE,
+    ICONS_SUBDOMAIN,
 )
 
 _LOGGER = logging.getLogger(__name__)
 
 CONFIG_SCHEMA = cv.config_entry_only_config_schema(DOMAIN)
+ConfigType = TypeVar("ConfigType", bound=Dict[str, Any])
 
 SERVICE_SCHEMA_ASK_QUESTION = vol.Schema({
     vol.Required("instance"): cv.string,
@@ -83,19 +99,18 @@ def get_coordinator_by_instance(hass: HomeAssistant, instance: str) -> HATextAIC
 
     raise HomeAssistantError(f"Instance {instance} not found")
 
-async def async_setup(hass: HomeAssistant, config: Dict[str, Any]) -> bool:
+def get_file_hash(file_path: str) -> str:
-    """Set up the HA Text AI component."""
+    """Calculate SHA256 hash of file."""
-    hass.data.setdefault(DOMAIN, {})
+    sha256_hash = hashlib.sha256()
+    with open(file_path, "rb") as f:
+        for byte_block in iter(lambda: f.read(4096), b""):
+            sha256_hash.update(byte_block)
+    return sha256_hash.hexdigest()
 
-    try:
+async def async_setup(hass: HomeAssistant, config: ConfigType) -> bool:
-        source = os.path.join(os.path.dirname(__file__), 'icons', 'icon.svg')
+    """Set up the Home Assistant Text AI component."""
-        dest_dir = os.path.join(hass.config.path('www'), 'icons')
+    # Initialize domain data storage
-        os.makedirs(dest_dir, exist_ok=True)
+    hass.data.setdefault(DOMAIN, {})
-        dest = os.path.join(dest_dir, 'icon.png')
-        if not os.path.exists(dest):
-            shutil.copyfile(source, dest)
-    except Exception as ex:
-        _LOGGER.warning("Failed to copy custom icon: %s", str(ex))
 
     async def async_ask_question(call: ServiceCall) -> None:
         """Handle ask_question service."""
@@ -143,6 +158,7 @@ async def async_setup(hass: HomeAssistant, config: Dict[str, Any]) -> bool:
             _LOGGER.error("Error setting system prompt: %s", str(err))
             raise HomeAssistantError(f"Failed to set system prompt: {str(err)}")
 
+    # Register services
     hass.services.async_register(
         DOMAIN,
         SERVICE_ASK_QUESTION,
@@ -171,13 +187,69 @@ async def async_setup(hass: HomeAssistant, config: Dict[str, Any]) -> bool:
         schema=SERVICE_SCHEMA_SET_SYSTEM_PROMPT
     )
 
+    # Handle icons
+    try:
+        source_icon_path = os.path.join(
+            os.path.dirname(__file__),
+            ICONS_SUBDOMAIN,
+            'icon@2x.png'
+        )
+
+        destination_directory = os.path.join(
+            hass.config.path('www'),
+            DOMAIN,
+            ICONS_SUBDOMAIN
+        )
+
+        destination_icon_path = os.path.join(
+            destination_directory,
+            'icon.png'
+        )
+
+        if not os.path.exists(source_icon_path):
+            _LOGGER.error("Source icon not found: %s", source_icon_path)
+            return True
+
+        def create_directory():
+            os.makedirs(destination_directory, exist_ok=True)
+
+        await hass.async_add_executor_job(create_directory)
+
+        should_copy = True
+
+        if os.path.exists(destination_icon_path):
+            source_hash = await hass.async_add_executor_job(get_file_hash, source_icon_path)
+            dest_hash = await hass.async_add_executor_job(get_file_hash, destination_icon_path)
+            should_copy = source_hash != dest_hash
+
+        if should_copy:
+            def copy_file():
+                shutil.copyfile(source_icon_path, destination_icon_path)
+
+            await hass.async_add_executor_job(copy_file)
+            _LOGGER.debug("Icon updated: %s", destination_icon_path)
+
+    except PermissionError as e:
+        _LOGGER.error("Permission denied when managing icons: %s", str(e))
+    except Exception as e:
+        _LOGGER.error("Failed to manage icons: %s", str(e))
+
     return True
 
 async def async_check_api(session, endpoint: str, headers: dict, provider: str) -> bool:
     """Check API availability for different providers."""
     try:
-        if provider == API_PROVIDER_ANTHROPIC:
+        if provider == API_PROVIDER_GEMINI:
+            # Gemini API does not support GET /models for validation, just check key presence
+            if headers.get("Authorization", "").replace("Bearer ", ""):
+                return True
+            else:
+                _LOGGER.error("Gemini API key is missing or empty")
+                return False
+        elif provider == API_PROVIDER_ANTHROPIC:
             check_url = f"{endpoint}/v1/models"
+        elif provider == API_PROVIDER_DEEPSEEK:
+            check_url = f"{endpoint}/models"
         else:  # OpenAI
             check_url = f"{endpoint}/models"
 
@@ -186,7 +258,8 @@ async def async_check_api(session, endpoint: str, headers: dict, provider: str)
                 if response.status in [200, 404]:
                     return True
                 elif response.status == 401:
-                    raise ConfigEntryNotReady("Invalid API key")
+                    _LOGGER.error("Invalid API key")
+                    return False
                 elif response.status == 429:
                     _LOGGER.warning("Rate limit exceeded during API check")
                     return False

custom_components/ha_text_ai/api_client.py

@@ -1,9 +1,17 @@
-"""API Client for HA Text AI."""
+"""
+API Client for HA Text AI.
+
+@license: CC BY-NC-SA 4.0 International
+@author: SMKRV
+@github: https://github.com/smkrv/ha-text-ai
+@source: https://github.com/smkrv/ha-text-ai
+"""
 import logging
 import asyncio
 from typing import Any, Dict, List, Optional
 from aiohttp import ClientSession, ClientTimeout
 from async_timeout import timeout
+from datetime import datetime, timedelta
 
 from homeassistant.core import HomeAssistant
 from homeassistant.exceptions import HomeAssistantError
@@ -11,6 +19,9 @@ from .const import (
     API_TIMEOUT,
     API_RETRY_COUNT,
     API_PROVIDER_ANTHROPIC,
+    API_PROVIDER_DEEPSEEK,
+    API_PROVIDER_OPENAI,
+    API_PROVIDER_GEMINI,
     MIN_TEMPERATURE,
     MAX_TEMPERATURE,
     MIN_MAX_TOKENS,
@@ -102,19 +113,53 @@ 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
+                )
+            elif self.api_provider == API_PROVIDER_GEMINI:
+                return await self._create_gemini_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,
@@ -199,6 +244,143 @@ class APIClient:
             _LOGGER.error(f"Connection check failed: {str(e)}")
             return False
 
+    async def _create_gemini_completion(
+        self,
+        model: str,
+        messages: List[Dict[str, str]],
+        temperature: float,
+        max_tokens: int,
+    ) -> Dict[str, Any]:
+        """Create completion using Gemini API with google-genai library.
+
+        Args:
+            model: The model name to use
+            messages: List of message dictionaries with role and content
+            temperature: Sampling temperature between 0.0 and 2.0
+            max_tokens: Maximum number of tokens to generate
+
+        Returns:
+            Dictionary with response content and token usage
+        """
+        try:
+            def import_genai():
+                from google import genai
+                return genai
+
+            genai = await asyncio.to_thread(import_genai)
+
+            # Extract API key from headers (Bearer token)
+            api_key = self.headers.get("Authorization", "").replace("Bearer ", "")
+
+            def create_client():
+                if self.endpoint and self.endpoint != "https://generativelanguage.googleapis.com/v1beta":
+                    return genai.Client(api_key=api_key, transport="rest",
+                                       client_options={"api_endpoint": self.endpoint})
+                else:
+                    return genai.Client(api_key=api_key)
+
+            client = await asyncio.to_thread(create_client)
+
+            # Process messages to extract system instruction and chat history
+            system_instruction = ""
+            contents = []
+
+            for msg in messages:
+                if msg['role'] == 'system':
+                    system_instruction += msg['content'] + "\n"
+                else:
+                    # For chat history, we need to convert to the format Gemini expects
+                    role = "user" if msg['role'] == 'user' else "model"
+                    contents.append({
+                        "role": role,
+                        "parts": [{"text": msg['content']}]
+                    })
+
+            # Create configuration
+            def create_config():
+                from google.genai import types
+                config = types.GenerateContentConfig(
+                    temperature=temperature,
+                    max_output_tokens=max_tokens,
+                )
+
+                # Add system instruction if present
+                if system_instruction:
+                    config.system_instruction = system_instruction.strip()
+
+                return config
+
+            config = await asyncio.to_thread(create_config)
+
+            def generate_content():
+                # For single message without history, use generate_content
+                if len(contents) <= 1:
+                    # If we have no content yet, create a simple prompt
+                    if not contents:
+                        prompt = "I need your assistance."
+                    else:
+                        prompt = contents[0]["parts"][0]["text"]
+
+                    return client.models.generate_content(
+                        model=model,
+                        contents=prompt,
+                        config=config
+                    )
+                else:
+                    # For multi-turn conversations, use chat
+                    chat = client.chats.create(model=model, config=config)
+
+                    # Send all messages in sequence
+                    for content in contents:
+                        if content["role"] == "user":
+                            response = chat.send_message(content["parts"][0]["text"])
+                            # We don't send assistant messages as they're already part of the history
+
+                    return response
+
+            response = await asyncio.to_thread(generate_content)
+
+            # Extract response text
+            def extract_response():
+                response_text = response.text if hasattr(response, 'text') else ""
+
+                # Try to get token usage if available
+                usage = {}
+                if hasattr(response, 'usage_metadata'):
+                    usage = {
+                        "prompt_tokens": getattr(response.usage_metadata, 'prompt_token_count', 0),
+                        "completion_tokens": getattr(response.usage_metadata, 'candidates_token_count', 0),
+                        "total_tokens": getattr(response.usage_metadata, 'total_token_count', 0)
+                    }
+                else:
+                    # Estimate token count as fallback
+                    usage = {
+                        "prompt_tokens": len(" ".join([m["content"] for m in messages]).split()) // 3,
+                        "completion_tokens": len(response_text.split()) // 3,
+                        "total_tokens": 0  # Will be calculated below
+                    }
+                    usage["total_tokens"] = usage["prompt_tokens"] + usage["completion_tokens"]
+
+                return response_text, usage
+
+            response_text, usage = await asyncio.to_thread(extract_response)
+
+            return {
+                "choices": [{
+                    "message": {
+                        "content": response_text
+                    }
+                }],
+                "usage": usage
+            }
+
+        except ImportError as e:
+            _LOGGER.error(f"Google Gemini library not installed: {str(e)}")
+            raise HomeAssistantError(f"Missing dependency: {str(e)}. Please install google-genai.")
+        except Exception as e:
+            _LOGGER.error(f"Gemini API error: {str(e)}")
+            raise HomeAssistantError(f"Gemini API error: {str(e)}")
+
     async def shutdown(self) -> None:
         """Shutdown API client."""
         _LOGGER.debug("Shutting down API client")

custom_components/ha_text_ai/config_flow.py

@@ -1,6 +1,14 @@
-"""Config flow for HA text AI integration."""
+"""
+Config flow for HA text AI integration.
+
+@license: CC BY-NC-SA 4.0 International
+@author: SMKRV
+@github: https://github.com/smkrv/ha-text-ai
+@source: https://github.com/smkrv/ha-text-ai
+"""
 import logging
 from typing import Any, Dict, Optional
+from datetime import datetime, timedelta
 
 import voluptuous as vol
 from homeassistant import config_entries
@@ -21,13 +29,19 @@ from .const import (
     CONF_CONTEXT_MESSAGES,
     API_PROVIDER_OPENAI,
     API_PROVIDER_ANTHROPIC,
+    API_PROVIDER_DEEPSEEK,
+    API_PROVIDER_GEMINI,
     API_PROVIDERS,
     DEFAULT_MODEL,
+    DEFAULT_DEEPSEEK_MODEL,
+    DEFAULT_GEMINI_MODEL,
     DEFAULT_TEMPERATURE,
     DEFAULT_MAX_TOKENS,
     DEFAULT_REQUEST_INTERVAL,
     DEFAULT_OPENAI_ENDPOINT,
     DEFAULT_ANTHROPIC_ENDPOINT,
+    DEFAULT_DEEPSEEK_ENDPOINT,
+    DEFAULT_GEMINI_ENDPOINT,
     DEFAULT_CONTEXT_MESSAGES,
     MIN_TEMPERATURE,
     MAX_TEMPERATURE,
@@ -83,9 +97,19 @@ class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
         self._errors = {}
 
         if user_input is None:
-            default_endpoint = (
+            # Selecting an endpoint by provider
-                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,
+                API_PROVIDER_GEMINI: DEFAULT_GEMINI_ENDPOINT,
+            }.get(self._provider, DEFAULT_OPENAI_ENDPOINT)
+
+            # Selecting the default model by provider
+            default_model = (
+                DEFAULT_DEEPSEEK_MODEL if self._provider == API_PROVIDER_DEEPSEEK else
+                DEFAULT_GEMINI_MODEL if self._provider == API_PROVIDER_GEMINI else
+                DEFAULT_MODEL
             )
 
             return self.async_show_form(
@@ -93,7 +117,7 @@ class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
                 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),
@@ -124,43 +148,173 @@ class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
                 })
             )
 
+        # Debug log to identify what's in the input
+        _LOGGER.debug(f"Provider step input data: {user_input}")
+
         input_copy = user_input.copy()
 
+        # Check if CONF_NAME exists in input_copy and ensure it's not empty
+        if CONF_NAME not in input_copy or not input_copy[CONF_NAME]:
+            _LOGGER.warning(f"Missing name in configuration input: {input_copy}")
+            input_copy[CONF_NAME] = f"gemini_assistant_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
+            _LOGGER.info(f"Auto-generated name: {input_copy[CONF_NAME]}")
+
+        # Ensure API key is present
+        if CONF_API_KEY not in input_copy or not input_copy[CONF_API_KEY]:
+            self._errors["base"] = "invalid_auth"
+            _LOGGER.error("API validation error: 'api_key'")
+            return self.async_show_form(
+                step_id="provider",
+                data_schema=vol.Schema({
+                    vol.Required(CONF_NAME, default=input_copy.get(CONF_NAME, "my_assistant")): str,
+                    vol.Required(CONF_API_KEY): str,
+                    vol.Required(CONF_MODEL, default=input_copy.get(CONF_MODEL, DEFAULT_GEMINI_MODEL if self._provider == API_PROVIDER_GEMINI else DEFAULT_MODEL)): str,
+                    vol.Required(CONF_API_ENDPOINT, default=input_copy.get(CONF_API_ENDPOINT, DEFAULT_GEMINI_ENDPOINT if self._provider == API_PROVIDER_GEMINI else DEFAULT_OPENAI_ENDPOINT)): str,
+                    vol.Optional(CONF_TEMPERATURE, default=input_copy.get(CONF_TEMPERATURE, DEFAULT_TEMPERATURE)): vol.All(
+                        vol.Coerce(float),
+                        vol.Range(min=MIN_TEMPERATURE, max=MAX_TEMPERATURE)
+                    ),
+                    vol.Optional(CONF_MAX_TOKENS, default=input_copy.get(CONF_MAX_TOKENS, DEFAULT_MAX_TOKENS)): vol.All(
+                        vol.Coerce(int),
+                        vol.Range(min=MIN_MAX_TOKENS, max=MAX_MAX_TOKENS)
+                    ),
+                    vol.Optional(CONF_REQUEST_INTERVAL, default=input_copy.get(CONF_REQUEST_INTERVAL, DEFAULT_REQUEST_INTERVAL)): vol.All(
+                        vol.Coerce(float),
+                        vol.Range(min=MIN_REQUEST_INTERVAL)
+                    ),
+                    vol.Optional(
+                        CONF_CONTEXT_MESSAGES,
+                        default=input_copy.get(CONF_CONTEXT_MESSAGES, DEFAULT_CONTEXT_MESSAGES)
+                    ): vol.All(
+                        vol.Coerce(int),
+                        vol.Range(min=1, max=20)
+                    ),
+                    vol.Optional(
+                        CONF_MAX_HISTORY_SIZE,
+                        default=input_copy.get(CONF_MAX_HISTORY_SIZE, DEFAULT_MAX_HISTORY)
+                    ): vol.All(
+                        vol.Coerce(int),
+                        vol.Range(min=1, max=100)
+                    ),
+                }),
+                errors=self._errors
+            )
+
         try:
+            # Validate and normalize the name
             normalized_name = self._validate_and_normalize_name(input_copy[CONF_NAME])
             input_copy[CONF_NAME] = normalized_name
         except ValueError as e:
             return self.async_show_form(
                 step_id="provider",
                 data_schema=vol.Schema({
-                    vol.Required(CONF_NAME, default=input_copy[CONF_NAME]): str,
+                    vol.Required(CONF_NAME, default=input_copy.get(CONF_NAME, "my_assistant")): str,
-                    vol.Required(CONF_API_KEY, default=input_copy[CONF_API_KEY]): str,
+                    vol.Required(CONF_API_KEY, default=input_copy.get(CONF_API_KEY, "")): str,
-                    vol.Required(CONF_MODEL, default=input_copy[CONF_MODEL]): str,
+                    vol.Required(CONF_MODEL, default=input_copy.get(CONF_MODEL, DEFAULT_GEMINI_MODEL if self._provider == API_PROVIDER_GEMINI else DEFAULT_MODEL)): str,
-                    vol.Required(CONF_API_ENDPOINT, default=input_copy[CONF_API_ENDPOINT]): str,
+                    vol.Required(CONF_API_ENDPOINT, default=input_copy.get(CONF_API_ENDPOINT, DEFAULT_GEMINI_ENDPOINT if self._provider == API_PROVIDER_GEMINI else DEFAULT_OPENAI_ENDPOINT)): str,
                     vol.Optional(CONF_TEMPERATURE, default=input_copy.get(CONF_TEMPERATURE, DEFAULT_TEMPERATURE)): vol.All(
                         vol.Coerce(float),
                         vol.Range(min=MIN_TEMPERATURE, max=MAX_TEMPERATURE)
                     ),
+                    vol.Optional(CONF_MAX_TOKENS, default=input_copy.get(CONF_MAX_TOKENS, DEFAULT_MAX_TOKENS)): vol.All(
+                        vol.Coerce(int),
+                        vol.Range(min=MIN_MAX_TOKENS, max=MAX_MAX_TOKENS)
+                    ),
+                    vol.Optional(CONF_REQUEST_INTERVAL, default=input_copy.get(CONF_REQUEST_INTERVAL, DEFAULT_REQUEST_INTERVAL)): vol.All(
+                        vol.Coerce(float),
+                        vol.Range(min=MIN_REQUEST_INTERVAL)
+                    ),
+                    vol.Optional(
+                        CONF_CONTEXT_MESSAGES,
+                        default=input_copy.get(CONF_CONTEXT_MESSAGES, DEFAULT_CONTEXT_MESSAGES)
+                    ): vol.All(
+                        vol.Coerce(int),
+                        vol.Range(min=1, max=20)
+                    ),
+                    vol.Optional(
+                        CONF_MAX_HISTORY_SIZE,
+                        default=input_copy.get(CONF_MAX_HISTORY_SIZE, DEFAULT_MAX_HISTORY)
+                    ): vol.All(
+                        vol.Coerce(int),
+                        vol.Range(min=1, max=100)
+                    ),
                 }),
                 errors={"name": str(e)}
             )
 
         try:
-            if not await self._async_validate_api(input_copy):
+            # Special handling for Gemini API validation
-                return self.async_show_form(
+            if self._provider == API_PROVIDER_GEMINI:
-                    step_id="provider",
+                # For Gemini, we just check if API key is present as there's no simple endpoint to validate
-                    data_schema=vol.Schema({
+                if not input_copy.get(CONF_API_KEY):
-                    }),
+                    self._errors["base"] = "invalid_auth"
-                    errors=self._errors
+                    _LOGGER.error("API validation error: 'api_key'")
-                )
+                    return self.async_show_form(
+                        step_id="provider",
+                        data_schema=vol.Schema({
+                            vol.Required(CONF_NAME, default=input_copy.get(CONF_NAME, "my_assistant")): str,
+                            vol.Required(CONF_API_KEY): str,
+                            vol.Required(CONF_MODEL, default=input_copy.get(CONF_MODEL, DEFAULT_GEMINI_MODEL)): str,
+                            vol.Required(CONF_API_ENDPOINT, default=input_copy.get(CONF_API_ENDPOINT, DEFAULT_GEMINI_ENDPOINT)): str,
+                            # Other fields remain the same
+                        }),
+                        errors=self._errors
+                    )
+            else:
+                # For other providers, validate API connection
+                if not await self._async_validate_api(input_copy):
+                    return self.async_show_form(
+                        step_id="provider",
+                        data_schema=vol.Schema({
+                            vol.Required(CONF_NAME, default=input_copy.get(CONF_NAME, "my_assistant")): str,
+                            vol.Required(CONF_API_KEY, default=input_copy.get(CONF_API_KEY, "")): str,
+                            vol.Required(CONF_MODEL, default=input_copy.get(CONF_MODEL, DEFAULT_MODEL)): str,
+                            vol.Required(CONF_API_ENDPOINT, default=input_copy.get(CONF_API_ENDPOINT, DEFAULT_OPENAI_ENDPOINT)): str,
+                            vol.Optional(CONF_TEMPERATURE, default=input_copy.get(CONF_TEMPERATURE, DEFAULT_TEMPERATURE)): vol.All(
+                                vol.Coerce(float),
+                                vol.Range(min=MIN_TEMPERATURE, max=MAX_TEMPERATURE)
+                            ),
+                            vol.Optional(CONF_MAX_TOKENS, default=input_copy.get(CONF_MAX_TOKENS, DEFAULT_MAX_TOKENS)): vol.All(
+                                vol.Coerce(int),
+                                vol.Range(min=MIN_MAX_TOKENS, max=MAX_MAX_TOKENS)
+                            ),
+                            vol.Optional(CONF_REQUEST_INTERVAL, default=input_copy.get(CONF_REQUEST_INTERVAL, DEFAULT_REQUEST_INTERVAL)): vol.All(
+                                vol.Coerce(float),
+                                vol.Range(min=MIN_REQUEST_INTERVAL)
+                            ),
+                            vol.Optional(
+                                CONF_CONTEXT_MESSAGES,
+                                default=input_copy.get(CONF_CONTEXT_MESSAGES, DEFAULT_CONTEXT_MESSAGES)
+                            ): vol.All(
+                                vol.Coerce(int),
+                                vol.Range(min=1, max=20)
+                            ),
+                            vol.Optional(
+                                CONF_MAX_HISTORY_SIZE,
+                                default=input_copy.get(CONF_MAX_HISTORY_SIZE, DEFAULT_MAX_HISTORY)
+                            ): vol.All(
+                                vol.Coerce(int),
+                                vol.Range(min=1, max=100)
+                            ),
+                        }),
+                        errors=self._errors
+                    )
         except Exception as e:
+            # Handle any unexpected exceptions during validation
+            _LOGGER.exception("Unexpected error during API validation")
             return self.async_show_form(
                 step_id="provider",
                 data_schema=vol.Schema({
+                    vol.Required(CONF_NAME, default=input_copy.get(CONF_NAME, "my_assistant")): str,
+                    vol.Required(CONF_API_KEY, default=input_copy.get(CONF_API_KEY, "")): str,
+                    vol.Required(CONF_MODEL, default=input_copy.get(CONF_MODEL, DEFAULT_GEMINI_MODEL if self._provider == API_PROVIDER_GEMINI else DEFAULT_MODEL)): str,
+                    vol.Required(CONF_API_ENDPOINT, default=input_copy.get(CONF_API_ENDPOINT, DEFAULT_GEMINI_ENDPOINT if self._provider == API_PROVIDER_GEMINI else DEFAULT_OPENAI_ENDPOINT)): str,
+                    # Other fields remain the same
                 }),
                 errors={"base": str(e)}
             )
 
+        # All validation passed, create the entry
         return await self._create_entry(input_copy)
 
     def _validate_and_normalize_name(self, name: str) -> str:
@@ -198,23 +352,34 @@ class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
     async def _async_validate_api(self, user_input: Dict[str, Any]) -> bool:
         """Validate API connection."""
         try:
+            if CONF_API_KEY not in user_input:
+                _LOGGER.error("API validation error: 'api_key'")
+                self._errors["base"] = "invalid_auth"
+                return False
+
             session = async_get_clientsession(self.hass)
             headers = self._get_api_headers(user_input)
             endpoint = user_input[CONF_API_ENDPOINT].rstrip('/')
 
-            check_url = (
+            if self._provider == API_PROVIDER_GEMINI:
-                f"{endpoint}/v1/models" if self._provider == API_PROVIDER_ANTHROPIC
+                if not user_input[CONF_API_KEY]:
-                else f"{endpoint}/models"
-            )
-
-            async with session.get(check_url, headers=headers) as response:
-                if response.status == 401:
                     self._errors["base"] = "invalid_auth"
                     return False
-                elif response.status not in [200, 404]:
-                    self._errors["base"] = "cannot_connect"
-                    return False
                 return True
+            else:
+                check_url = (
+                    f"{endpoint}/v1/models" if self._provider == API_PROVIDER_ANTHROPIC
+                    else f"{endpoint}/models"
+                )
+
+                async with session.get(check_url, headers=headers) as response:
+                    if response.status == 401:
+                        self._errors["base"] = "invalid_auth"
+                        return False
+                    elif response.status not in [200, 404]:
+                        self._errors["base"] = "cannot_connect"
+                        return False
+                    return True
 
         except Exception as err:
             _LOGGER.error("API validation error: %s", str(err))
@@ -223,6 +388,9 @@ class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
 
     def _get_api_headers(self, user_input: Dict[str, Any]) -> Dict[str, str]:
         """Get API headers based on provider."""
+        if CONF_API_KEY not in user_input:
+            return {"Content-Type": "application/json"}
+
         api_key = user_input[CONF_API_KEY]
 
         if self._provider == API_PROVIDER_ANTHROPIC:
@@ -231,6 +399,11 @@ class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
                 "anthropic-version": "2023-06-01",
                 "Content-Type": "application/json"
             }
+        elif self._provider == API_PROVIDER_GEMINI:
+            return {
+                "Authorization": f"Bearer {api_key}",
+                "Content-Type": "application/json"
+            }
         return {
             "Authorization": f"Bearer {api_key}",
             "Content-Type": "application/json"
@@ -243,6 +416,12 @@ 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_GEMINI_MODEL if self._provider == API_PROVIDER_GEMINI else
+            DEFAULT_MODEL
+        )
+
         entry_data = {
             CONF_API_PROVIDER: self._provider,
             CONF_NAME: instance_name,
@@ -250,7 +429,7 @@ 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),
@@ -289,13 +468,20 @@ class OptionsFlowHandler(config_entries.OptionsFlow):
             return self.async_create_entry(title="", data=user_input)
 
         current_data = {**self.config_entry.data, **self.config_entry.options}
+        provider = current_data.get(CONF_API_PROVIDER)
+
+        default_model = (
+            DEFAULT_DEEPSEEK_MODEL if provider == API_PROVIDER_DEEPSEEK else
+            DEFAULT_GEMINI_MODEL if provider == API_PROVIDER_GEMINI else
+            DEFAULT_MODEL
+        )
 
         return self.async_show_form(
             step_id="init",
             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

@@ -1,8 +1,19 @@
-"""Constants for the HA text AI integration."""
+"""
+Constants for the HA text AI integration.
+
+@license: CC BY-NC-SA 4.0 International
+@author: SMKRV
+@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
 from homeassistant.helpers import config_validation as cv
+import logging
+_LOGGER = logging.getLogger(__name__)
 
 # Domain and platforms
 DOMAIN: Final = "ha_text_ai"
@@ -12,15 +23,37 @@ 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_PROVIDER_GEMINI: Final = "gemini"
 
 API_PROVIDERS: Final = [
     API_PROVIDER_OPENAI,
-    API_PROVIDER_ANTHROPIC
+    API_PROVIDER_ANTHROPIC,
+    API_PROVIDER_DEEPSEEK,
+    API_PROVIDER_GEMINI
 ]
 
+# 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"
+DEFAULT_GEMINI_ENDPOINT: Final = "https://generativelanguage.googleapis.com/v1beta"
 
 # Configuration constants
 CONF_MODEL: Final = "model"
@@ -33,8 +66,15 @@ CONF_MAX_HISTORY_SIZE: Final = "max_history_size"  # Correct constant name
 CONF_IS_ANTHROPIC: Final = "is_anthropic"
 CONF_CONTEXT_MESSAGES: Final = "context_messages"
 
+ABSOLUTE_MAX_HISTORY_SIZE = 500
+MAX_ATTRIBUTE_SIZE = 4 * 1024
+MAX_HISTORY_FILE_SIZE = 1 * 1024 * 1024
+ICONS_SUBDOMAIN = "icons"
+
 # Default values
 DEFAULT_MODEL: Final = "gpt-4o-mini"
+DEFAULT_DEEPSEEK_MODEL: Final = "deepseek-chat"
+DEFAULT_GEMINI_MODEL: Final = "gemini-2.0-flash"
 DEFAULT_TEMPERATURE: Final = 0.1
 DEFAULT_MAX_TOKENS: Final = 1000
 DEFAULT_REQUEST_INTERVAL: Final = 1.0
@@ -44,11 +84,13 @@ 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/manifest.json

@@ -16,6 +16,7 @@
   "requirements": [
     "openai>=1.12.0",
     "anthropic>=0.8.0",
+    "google-genai>=1.16.0",
     "aiohttp>=3.8.0",
     "async-timeout>=4.0.0",
     "certifi>=2024.2.2"
@@ -23,6 +24,6 @@
   "single_config_entry": false,
   "ssdp": [],
   "usb": [],
-  "version": "2.0.3-beta",
+  "version": "2.1.7",
   "zeroconf": []
 }

custom_components/ha_text_ai/sensor.py

@@ -1,7 +1,15 @@
-"""Sensor platform for HA Text AI."""
+"""
+Sensor platform for HA Text AI.
+
+@license: CC BY-NC-SA 4.0 International
+@author: SMKRV
+@github: https://github.com/smkrv/ha-text-ai
+@source: https://github.com/smkrv/ha-text-ai
+"""
 import logging
 import math
 from typing import Any, Dict
+from datetime import datetime, timedelta
 
 from homeassistant.components.sensor import (
     SensorEntity,
@@ -60,6 +68,8 @@ from .const import (
     ENTITY_ICON_PROCESSING,
     DEFAULT_NAME_PREFIX,
     CONF_MAX_HISTORY_SIZE,
+    MAX_ATTRIBUTE_SIZE,
+    VERSION,
 )
 
 from .coordinator import HATextAICoordinator
@@ -146,7 +156,7 @@ 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(
@@ -171,12 +181,29 @@ class HATextAISensor(CoordinatorEntity, SensorEntity):
 
     def _sanitize_attributes(self, attributes: Dict[str, Any]) -> Dict[str, Any]:
         """Sanitize all attributes for JSON serialization."""
-        return {
+        sanitized = {
             key: self._sanitize_value(value)
             for key, value in attributes.items()
             if value is not None
         }
 
+        # Log metrics for debugging
+        metrics_keys = [
+            METRIC_TOTAL_TOKENS,
+            METRIC_PROMPT_TOKENS,
+            METRIC_COMPLETION_TOKENS,
+            METRIC_SUCCESSFUL_REQUESTS,
+            METRIC_FAILED_REQUESTS,
+            METRIC_AVERAGE_LATENCY,
+            METRIC_MAX_LATENCY,
+            METRIC_MIN_LATENCY,
+        ]
+
+        metrics_values = {k: sanitized.get(k) for k in metrics_keys if k in sanitized}
+        _LOGGER.debug(f"Metrics for {self.entity_id}: {metrics_values}")
+
+        return sanitized
+
     @property
     def native_value(self) -> StateType:
         """Return the native value of the sensor."""
@@ -205,68 +232,65 @@ class HATextAISensor(CoordinatorEntity, SensorEntity):
 
         try:
             data = self.coordinator.data
+            metrics = data.get("metrics", {})
+
+            # Base attributes
             attributes = {
                 ATTR_MODEL: self._config_entry.data.get(CONF_MODEL, "Unknown"),
-                ATTR_API_PROVIDER: self._config_entry.data.get(
+                ATTR_API_PROVIDER: self._config_entry.data.get(CONF_API_PROVIDER, "Unknown"),
-                    CONF_API_PROVIDER, "Unknown"
-                ),
                 ATTR_API_STATUS: self._current_state,
-                ATTR_TOTAL_ERRORS: self._error_count,
+                ATTR_TOTAL_ERRORS: metrics.get("total_errors", 0),
-                ATTR_LAST_ERROR: self._last_error,
                 "instance_name": self._instance_name,
                 "normalized_name": self._normalized_name,
-                ATTR_SYSTEM_PROMPT: data.get("system_prompt"),
+                ATTR_SYSTEM_PROMPT: (data.get("system_prompt", "")[:MAX_ATTRIBUTE_SIZE]
+                                   if data.get("system_prompt") else None),
                 ATTR_IS_PROCESSING: data.get("is_processing", False),
                 ATTR_IS_RATE_LIMITED: data.get("is_rate_limited", False),
                 ATTR_IS_MAINTENANCE: data.get("is_maintenance", False),
                 ATTR_ENDPOINT_STATUS: data.get("endpoint_status", "unknown"),
-                ATTR_UPTIME: data.get("uptime", 0),
+                ATTR_UPTIME: round(data.get("uptime", 0), 2),
                 ATTR_HISTORY_SIZE: data.get("history_size", 0),
-                ATTR_CONVERSATION_HISTORY: data.get("conversation_history", []),
             }
 
-            # Add metrics
+            # History limit
-            metrics = data.get("metrics", {})
+            conversation_history = data.get("conversation_history", [])
-            if isinstance(metrics, dict):
+            if conversation_history:
-                self._metrics = metrics
+                limited_history = []
-                attributes.update(
+                for entry in conversation_history:
-                    {
+                    limited_entry = {
-                        METRIC_TOTAL_TOKENS: metrics.get("total_tokens", 0),
+                        "timestamp": entry["timestamp"],
-                        METRIC_PROMPT_TOKENS: metrics.get("prompt_tokens", 0),
+                        "question": entry["question"][:MAX_ATTRIBUTE_SIZE],
-                        METRIC_COMPLETION_TOKENS: metrics.get("completion_tokens", 0),
+                        "response": entry["response"][:MAX_ATTRIBUTE_SIZE]
-                        METRIC_SUCCESSFUL_REQUESTS: metrics.get(
-                            "successful_requests", 0
-                        ),
-                        METRIC_FAILED_REQUESTS: metrics.get("failed_requests", 0),
-                        METRIC_AVERAGE_LATENCY: metrics.get("average_latency", 0),
-                        METRIC_MAX_LATENCY: metrics.get("max_latency", 0),
-                        METRIC_MIN_LATENCY: metrics.get("min_latency", float("inf")),
                     }
-                )
+                    limited_history.append(limited_entry)
+                attributes[ATTR_CONVERSATION_HISTORY] = limited_history
 
-            # Add last response
+            # Metrics
+            if isinstance(metrics, dict):
+                attributes.update({
+                    METRIC_TOTAL_TOKENS: metrics.get("total_tokens", 0),
+                    METRIC_PROMPT_TOKENS: metrics.get("prompt_tokens", 0),
+                    METRIC_COMPLETION_TOKENS: metrics.get("completion_tokens", 0),
+                    METRIC_SUCCESSFUL_REQUESTS: metrics.get("successful_requests", 0),
+                    METRIC_FAILED_REQUESTS: metrics.get("failed_requests", 0),
+                    METRIC_AVERAGE_LATENCY: round(metrics.get("average_latency", 0), 2),
+                    METRIC_MAX_LATENCY: round(metrics.get("max_latency", 0), 2),
+                    METRIC_MIN_LATENCY: (metrics.get("min_latency")
+                                       if metrics.get("min_latency") != float("inf")
+                                       else None),
+                })
+
+            # Last response handling
             last_response = data.get("last_response", {})
             if isinstance(last_response, dict):
-                self._last_response = last_response
+                attributes.update({
-                attributes.update(
+                    ATTR_RESPONSE: last_response.get("response", "")[:MAX_ATTRIBUTE_SIZE],
-                    {
+                    ATTR_QUESTION: last_response.get("question", "")[:MAX_ATTRIBUTE_SIZE],
-                        ATTR_RESPONSE: last_response.get("response", ""),
+                    "last_model": last_response.get("model", ""),
-                        ATTR_QUESTION: last_response.get("question", ""),
+                    "last_timestamp": last_response.get("timestamp", ""),
-                        "last_model": last_response.get("model", ""),
+                    "last_error": (last_response.get("error", "")[:MAX_ATTRIBUTE_SIZE]
-                        "last_timestamp": last_response.get("timestamp", ""),
+                                 if last_response.get("error") else None),
-                        "last_error": last_response.get("error"),
+                })
-                    }
-                )
-
-            # Add performance metrics if available
-            if ATTR_PERFORMANCE_METRICS in data:
-                attributes[ATTR_PERFORMANCE_METRICS] = data[
-                    ATTR_PERFORMANCE_METRICS
-                ]
-
-            # Add API version if available
-            if ATTR_API_VERSION in data:
-                attributes[ATTR_API_VERSION] = data[ATTR_API_VERSION]
 
             return self._sanitize_attributes(attributes)
 
@@ -292,6 +316,12 @@ class HATextAISensor(CoordinatorEntity, SensorEntity):
 
             self._is_processing = data.get("is_processing", False)
 
+            # Update metrics
+            metrics = data.get("metrics", {})
+            if isinstance(metrics, dict):
+                self._metrics.update(metrics)
+                _LOGGER.debug(f"Updated metrics for {self.entity_id}: {self._metrics}")
+
             # Update conversation history and system prompt
             self._conversation_history = data.get("conversation_history", [])
             self._system_prompt = data.get("system_prompt")

custom_components/ha_text_ai/services.yaml

@@ -63,13 +63,13 @@ ask_question:
 
     max_tokens:
       name: Max Tokens
-      description: Maximum length of the response (1-4096 tokens)
+      description: Maximum length of the response (tokens)
       required: false
       default: 1000
       selector:
         number:
           min: 1
-          max: 4096
+          max: 100000
           step: 1
           mode: box
 

custom_components/ha_text_ai/translations/de.json

@@ -2,71 +2,103 @@
   "config": {
     "step": {
       "provider": {
-        "title": "KI-Anbieter auswählen",
+        "title": "Wählen Sie AI-Anbieter",
-        "description": "Wählen Sie den KI-Dienstanbieter für diese Instanz aus.",
+        "description": "Wählen Sie, welchen AI-Dienstanbieter Sie für diese Instanz verwenden möchten.",
         "data": {
           "api_provider": "API-Anbieter",
-          "context_messages": "Anzahl der zu behaltenden Kontextnachrichten (1-20)"
+          "context_messages": "Anzahl der zu behaltenden Kontextnachrichten (1-20)",
+          "max_history_size": "Maximale Größe des Gesprächsverlaufs (1-100)"
+        }
+      },
+      "provider": {
+        "title": "Anbieter-Einstellungen",
+        "description": "Geben Sie die Verbindungsdetails für Ihren gewählten AI-Anbieter an.",
+        "data": {
+          "name": "Instanzname (z. B. 'GPT Assistant', 'Claude Helper')",
+          "api_key": "API-Schlüssel zur Authentifizierung",
+          "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 (1-100000 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)"
         }
       },
       "user": {
-        "title": "HA Text AI-Instanz konfigurieren",
+        "title": "HA Text AI Instanz konfigurieren",
-        "description": "Richten Sie eine neue KI-Assistenteninstanz mit Ihrem ausgewählten Anbieter ein.",
+        "description": "Richten Sie eine neue AI-Assistenteninstanz mit Ihrem ausgewählten Anbieter ein.",
         "data": {
-          "name": "Instanzname (z. B. 'GPT-Assistent', 'Claude-Helfer')",
+          "name": "Instanzname (z. B. 'GPT Assistant', 'Claude Helper')",
           "api_key": "API-Schlüssel zur Authentifizierung",
-          "model": "Zu verwendendes KI-Modell",
+          "model": "Zu verwendendes AI-Modell",
-          "temperature": "Antwortkreativität (0-2, niedriger = fokussierter)",
+          "temperature": "Kreativität der Antwort (0-2, niedriger = fokussierter)",
-          "max_tokens": "Maximale Antwortlänge (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": "Mindestzeit zwischen Anfragen (0,1-60 Sekunden)",
+          "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 Konversationsverlaufs (1-100)"
+          "max_history_size": "Maximale Größe des Gesprächsverlaufs (1-100)"
         }
       }
     },
     "error": {
+      "history_storage_error": "Fehler beim Initialisieren des Verlaufspeichers. Überprüfen Sie die Berechtigungen.",
+      "history_rotation_error": "Fehler beim Drehen der Verlaufsdatei.",
+      "history_file_access_error": "Zugriff auf das Verzeichnis für den Verlaufsspeicher nicht möglich.",
       "name_exists": "Eine Instanz mit diesem Namen existiert bereits",
       "invalid_name": "Ungültiger Instanzname",
       "invalid_auth": "Authentifizierung fehlgeschlagen - überprüfen Sie Ihren API-Schlüssel",
-      "invalid_api_key": "Ungültiger API-Schlüssel - überprüfen Sie Ihre Anmeldedaten",
+      "invalid_api_key": "Ungültiger API-Schlüssel - bitte überprüfen Sie Ihre Anmeldeinformationen",
       "cannot_connect": "Verbindung zum API-Dienst fehlgeschlagen",
-      "invalid_model": "Das ausgewählte Modell ist nicht verfügbar",
+      "invalid_model": "Ausgewähltes Modell ist nicht verfügbar",
-      "rate_limit": "Ratenlimit überschritten",
+      "rate_limit": "Rate-Limit überschritten",
       "context_length": "Kontextlänge überschritten",
-      "rate_limit_exceeded": "API-Ratenlimit überschritten",
+      "rate_limit_exceeded": "API-Rate-Limit überschritten",
-      "maintenance": "Dienst befindet sich in der Wartung",
+      "maintenance": "Dienst ist in Wartung",
-      "invalid_response": "Ungültige API-Antwort empfangen",
+      "invalid_response": "Ungültige API-Antwort erhalten",
-      "api_error": "Fehler im API-Dienst aufgetreten",
+      "api_error": "Ein Fehler im API-Dienst ist aufgetreten",
-      "timeout": "Anfrage ist abgelaufen",
+      "timeout": "Zeitüberschreitung bei der Anfrage",
       "invalid_instance": "Ungültige Instanz angegeben",
-      "unknown": "Es ist ein unerwarteter Fehler aufgetreten",
+      "unknown": "Unerwarteter Fehler aufgetreten",
       "empty": "Name darf nicht leer sein",
       "invalid_characters": "Name darf nur Buchstaben, Zahlen, Leerzeichen, Unterstriche und Bindestriche enthalten",
-      "name_too_long": "Name darf maximal 50 Zeichen lang sein"
+      "name_too_long": "Name darf höchstens 50 Zeichen lang sein"
+    },
+    "abort": {
+      "already_configured": "Instanz bereits konfiguriert"
     }
   },
   "options": {
     "step": {
       "init": {
         "title": "Instanzeinstellungen aktualisieren",
-        "description": "Ändern Sie die Einstellungen für diese KI-Assistenteninstanz.",
+        "description": "Ändern Sie die Einstellungen für diese AI-Assistenteninstanz.",
         "data": {
-          "model": "KI-Modell",
+          "model": "AI-Modell",
-          "temperature": "Antwortkreativität (0-2)",
+          "temperature": "Kreativität der Antwort (0-2)",
-          "max_tokens": "Maximale Antwortlänge (1-4096)",
+          "max_tokens": "Maximale Länge der Antwort (1-100000)",
-          "request_interval": "Mindestzeitraum zwischen Anfragen (0,1-60 Sekunden)",
+          "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 Konversationsverlaufs (1-100)"
+          "max_history_size": "Maximale Größe des Gesprächsverlaufs (1-100)"
         }
       }
     }
   },
+  "selector": {
+    "api_provider": {
+      "options": {
+        "openai": "OpenAI (compatible)",
+        "anthropic": "Anthropic (compatible)",
+        "deepseek": "DeepSeek",
+        "gemini": "Google Gemini"
+    }
+  }
+},
   "services": {
     "ask_question": {
       "name": "Frage stellen (HA Text AI)",
-      "description": "Senden Sie eine Frage an das KI-Modell und erhalten Sie eine detaillierte Antwort. Die Antwort wird im Konversationsverlauf gespeichert und kann später abgerufen werden.",
+      "description": "Stellen Sie eine Frage an das AI-Modell und erhalten Sie eine detaillierte Antwort. Die Antwort wird im Gesprächsverlauf gespeichert und kann später abgerufen werden.",
       "fields": {
         "instance": {
           "name": "Instanz",
@@ -74,43 +106,43 @@
         },
         "question": {
           "name": "Frage",
-          "description": "Ihre Frage oder Aufforderung an den KI-Assistenten"
+          "description": "Ihre Frage oder Aufforderung für den AI-Assistenten"
         },
         "context_messages": {
           "name": "Kontextnachrichten",
           "description": "Anzahl der vorherigen Nachrichten, die im Kontext enthalten sein sollen (1-20)"
         },
         "system_prompt": {
-          "name": "Systemprompt",
+          "name": "Systemaufforderung",
-          "description": "Optionaler Systemprompt, um den Kontext für diese spezielle Frage festzulegen"
+          "description": "Optionale Systemaufforderung zur Festlegung des Kontexts für diese spezifische Frage"
         },
         "model": {
           "name": "Modell",
-          "description": "Wählen Sie das zu verwendende KI-Modell aus (optional, überschreibt die Standardeinstellung)"
+          "description": "Wählen Sie das zu verwendende AI-Modell (optional, überschreibt die Standardeinstellung)"
         },
         "temperature": {
           "name": "Temperatur",
-          "description": "Steuert die Antwortkreativität (0.0-2.0)"
+          "description": "Steuert die Kreativität der Antwort (0,0-2,0)"
         },
         "max_tokens": {
-          "name": "Max. Token",
+          "name": "Max Tokens",
-          "description": "Maximale Länge der Antwort (1-4096 Token)"
+          "description": "Maximale Länge der Antwort (1-100000 Token)"
         }
       }
     },
     "clear_history": {
       "name": "Verlauf löschen",
-      "description": "Alle gespeicherten Fragen und Antworten aus dem Konversationsverlauf löschen",
+      "description": "Löschen Sie alle gespeicherten Fragen und Antworten aus dem Gesprächsverlauf",
       "fields": {
         "instance": {
           "name": "Instanz",
-          "description": "Name der HA Text AI-Instanz, deren Verlauf gelöscht werden soll"
+          "description": "Name der HA Text AI-Instanz, für die der Verlauf gelöscht werden soll"
         }
       }
     },
     "get_history": {
       "name": "Verlauf abrufen",
-      "description": "Konversationsverlauf mit optionalem Filtern und Sortieren abrufen",
+      "description": "Rufen Sie den Gesprächsverlauf mit optionaler Filterung und Sortierung ab",
       "fields": {
         "instance": {
           "name": "Instanz",
@@ -118,19 +150,19 @@
         },
         "limit": {
           "name": "Limit",
-          "description": "Anzahl der zurückzugebenden Konversationen (1-100)"
+          "description": "Anzahl der zurückzugebenden Gespräche (1-100)"
         },
         "filter_model": {
           "name": "Modell filtern",
-          "description": "Konversationen nach einem bestimmten KI-Modell filtern"
+          "description": "Gespräche nach spezifischem AI-Modell filtern"
         },
         "start_date": {
           "name": "Startdatum",
-          "description": "Konversationen ab diesem Datum/Uhrzeit filtern"
+          "description": "Gespräche ab diesem Datum/Zeit filtern"
         },
         "include_metadata": {
-          "name": "Metadaten einschließen",
+          "name": "Metadaten einbeziehen",
-          "description": "Zusätzliche Informationen wie verwendete Token, Antwortzeit usw. einschließen"
+          "description": "Zusätzliche Informationen wie verwendete Tokens, Antwortzeit usw. einbeziehen"
         },
         "sort_order": {
           "name": "Sortierreihenfolge",
@@ -139,16 +171,16 @@
       }
     },
     "set_system_prompt": {
-      "name": "Systemprompt festlegen",
+      "name": "Systemaufforderung festlegen",
-      "description": "Legen Sie Standardanweisungen für das Systemverhalten für alle zukünftigen Konversationen fest",
+      "description": "Standardverhaltensanweisungen für alle zukünftigen Gespräche festlegen",
       "fields": {
         "instance": {
           "name": "Instanz",
-          "description": "Name der HA Text AI-Instanz, für die der Systemprompt festgelegt werden soll"
+          "description": "Name der HA Text AI-Instanz, für die die Systemaufforderung festgelegt werden soll"
         },
         "prompt": {
-          "name": "Systemprompt",
+          "name": "Systemaufforderung",
-          "description": "Anweisungen, die definieren, wie sich die KI verhalten und antworten soll"
+          "description": "Anweisungen, die definieren, wie die AI sich verhalten und antworten soll"
         }
       }
     }
@@ -162,11 +194,11 @@
           "processing": "Verarbeitung",
           "error": "Fehler",
           "disconnected": "Getrennt",
-          "rate_limited": "Ratenlimit",
+          "rate_limited": "Rate limitiert",
           "maintenance": "Wartung",
           "initializing": "Initialisierung",
           "retrying": "Wiederholen",
-          "queued": "Warteschlange"
+          "queued": "In der Warteschlange"
         },
         "state_attributes": {
           "question": {
@@ -182,16 +214,16 @@
             "name": "Temperatur"
           },
           "max_tokens": {
-            "name": "Max. Token"
+            "name": "Max Tokens"
           },
           "system_prompt": {
-            "name": "Systemprompt"
+            "name": "Systemaufforderung"
           },
           "response_time": {
             "name": "Letzte Antwortzeit"
           },
           "total_responses": {
-            "name": "Gesamtzahl der Antworten"
+            "name": "Gesamtantworten"
           },
           "error_count": {
             "name": "Fehleranzahl"
@@ -203,19 +235,19 @@
             "name": "API-Status"
           },
           "tokens_used": {
-            "name": "Verwendete Token insgesamt"
+            "name": "Gesamte verwendete Tokens"
           },
           "average_response_time": {
             "name": "Durchschnittliche Antwortzeit"
           },
           "last_request_time": {
-            "name": "Zeitpunkt der letzten Anfrage"
+            "name": "Letzte Anfragezeit"
           },
           "is_processing": {
             "name": "Verarbeitungsstatus"
           },
           "is_rate_limited": {
-            "name": "Ratenlimit-Status"
+            "name": "Rate-limitiert Status"
           },
           "is_maintenance": {
             "name": "Wartungsstatus"
@@ -224,25 +256,25 @@
             "name": "API-Version"
           },
           "endpoint_status": {
-            "name": "Endpunkt-Status"
+            "name": "Endpunktstatus"
           },
           "performance_metrics": {
-            "name": "Leistungsmetriken"
+            "name": "Leistungskennzahlen"
           },
           "history_size": {
-            "name": "Verlaufsgröße"
+            "name": "Größe des Verlaufs"
           },
           "uptime": {
             "name": "Betriebszeit"
           },
           "total_tokens": {
-            "name": "Gesamtzahl der Token"
+            "name": "Gesamte Tokens"
           },
           "prompt_tokens": {
-            "name": "Prompt-Token"
+            "name": "Eingabe Tokens"
           },
           "completion_tokens": {
-            "name": "Completion-Token"
+            "name": "Vervollständigungs Tokens"
           },
           "successful_requests": {
             "name": "Erfolgreiche Anfragen"

custom_components/ha_text_ai/translations/en.json

@@ -6,7 +6,23 @@
         "description": "Choose which AI service provider to use for this instance.",
         "data": {
           "api_provider": "API Provider",
-          "context_messages": "Number of context messages to retain (1-20)"
+          "context_messages": "Number of context messages to retain (1-20)",
+          "max_history_size": "Maximum conversation history size (1-100)"
+        }
+      },
+      "provider": {
+        "title": "Provider Settings",
+        "description": "Provide connection details for your chosen AI provider.",
+        "data": {
+          "name": "Instance name (e.g., 'GPT Assistant', 'Claude Helper')",
+          "api_key": "API key for authentication",
+          "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 (1-100000 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)"
         }
       },
       "user": {
@@ -17,7 +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)",
@@ -27,6 +43,9 @@
       }
     },
     "error": {
+      "history_storage_error": "Failed to initialize history storage. Check permissions.",
+      "history_rotation_error": "Error during history file rotation.",
+      "history_file_access_error": "Cannot access history storage directory.",
       "name_exists": "An instance with this name already exists",
       "invalid_name": "Invalid instance name",
       "invalid_auth": "Authentication failed - check your API key",
@@ -45,6 +64,9 @@
       "empty": "Name cannot be empty",
       "invalid_characters": "Name can only contain letters, numbers, spaces, underscores and hyphens",
       "name_too_long": "Name must be 50 characters or less"
+    },
+    "abort": {
+      "already_configured": "Instance already configured"
     }
   },
   "options": {
@@ -55,7 +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)"
@@ -63,6 +85,16 @@
       }
     }
   },
+  "selector": {
+    "api_provider": {
+      "options": {
+        "openai": "OpenAI (compatible)",
+        "anthropic": "Anthropic (compatible)",
+        "deepseek": "DeepSeek",
+        "gemini": "Google Gemini"
+    }
+  }
+},
   "services": {
     "ask_question": {
       "name": "Ask Question (HA Text AI)",
@@ -94,7 +126,7 @@
         },
         "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

@@ -0,0 +1,298 @@
+{
+  "config": {
+    "step": {
+      "provider": {
+        "title": "Seleccionar proveedor de IA",
+        "description": "Elige qué proveedor de servicio de IA utilizar para esta instancia.",
+        "data": {
+          "api_provider": "Proveedor de API",
+          "context_messages": "Número de mensajes de contexto a retener (1-20)",
+          "max_history_size": "Tamaño máximo del historial de conversación (1-100)"
+        }
+      },
+      "provider": {
+        "title": "Configuración del proveedor",
+        "description": "Proporciona los detalles de conexión para tu proveedor de IA elegido.",
+        "data": {
+          "name": "Nombre de la instancia (por ejemplo, 'Asistente GPT', 'Ayudante Claude')",
+          "api_key": "Clave API para autenticación",
+          "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 (1-100000 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)"
+        }
+      },
+      "user": {
+        "title": "Configurar instancia de IA de texto de HA",
+        "description": "Configura una nueva instancia de asistente de IA con tu proveedor seleccionado.",
+        "data": {
+          "name": "Nombre de la instancia (por ejemplo, 'Asistente GPT', 'Ayudante Claude')",
+          "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 (1-100000 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)",
+          "context_messages": "Número de mensajes de contexto a retener (1-20)",
+          "max_history_size": "Tamaño máximo del historial de conversación (1-100)"
+        }
+      }
+    },
+    "error": {
+      "history_storage_error": "Error al inicializar el almacenamiento del historial. Verifica los permisos.",
+      "history_rotation_error": "Error durante la rotación del archivo de historial.",
+      "history_file_access_error": "No se puede acceder al directorio de almacenamiento del historial.",
+      "name_exists": "Ya existe una instancia con este nombre",
+      "invalid_name": "Nombre de instancia no válido",
+      "invalid_auth": "La autenticación falló - verifica tu clave API",
+      "invalid_api_key": "Clave API no válida - verifica tus credenciales",
+      "cannot_connect": "Error al conectar con el servicio de API",
+      "invalid_model": "El modelo seleccionado no está disponible",
+      "rate_limit": "Límite de tasa excedido",
+      "context_length": "Longitud del contexto excedida",
+      "rate_limit_exceeded": "Límite de tasa de API excedido",
+      "maintenance": "El servicio está en mantenimiento",
+      "invalid_response": "Respuesta de API no válida recibida",
+      "api_error": "Ocurrió un error en el servicio de API",
+      "timeout": "Se agotó el tiempo de la solicitud",
+      "invalid_instance": "Instancia no válida especificada",
+      "unknown": "Ocurrió un error inesperado",
+      "empty": "El nombre no puede estar vacío",
+      "invalid_characters": "El nombre solo puede contener letras, números, espacios, guiones bajos y guiones",
+      "name_too_long": "El nombre debe tener 50 caracteres o menos"
+    },
+    "abort": {
+      "already_configured": "Instancia ya configurada"
+    }
+  },
+  "options": {
+    "step": {
+      "init": {
+        "title": "Actualizar configuración de la instancia",
+        "description": "Modifica la configuración para esta instancia de asistente de IA.",
+        "data": {
+          "model": "Modelo de IA",
+          "temperature": "Creatividad de la respuesta (0-2)",
+          "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)"
+        }
+      }
+    }
+  },
+  "selector": {
+    "api_provider": {
+      "options": {
+        "openai": "OpenAI (compatible)",
+        "anthropic": "Anthropic (compatible)",
+        "deepseek": "DeepSeek",
+        "gemini": "Google Gemini"
+    }
+  }
+},
+  "services": {
+    "ask_question": {
+      "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": {
+          "name": "Instancia",
+          "description": "Nombre de la instancia de IA de Texto de HA a utilizar"
+        },
+        "question": {
+          "name": "Pregunta",
+          "description": "Tu pregunta o solicitud para el asistente de IA"
+        },
+        "context_messages": {
+          "name": "Mensajes de Contexto",
+          "description": "Número de mensajes anteriores a incluir en el contexto (1-20)"
+        },
+        "system_prompt": {
+          "name": "Indicaciones del Sistema",
+          "description": "Indicaciones opcionales para establecer contexto para esta pregunta específica"
+        },
+        "model": {
+          "name": "Modelo",
+          "description": "Selecciona el modelo de IA a utilizar (opcional, anula la configuración predeterminada)"
+        },
+        "temperature": {
+          "name": "Temperatura",
+          "description": "Controla la creatividad de la respuesta (0.0-2.0)"
+        },
+        "max_tokens": {
+          "name": "Máx. Tokens",
+          "description": "Longitud máxima de la respuesta (1-100000 tokens)"
+        }
+      }
+    },
+    "clear_history": {
+      "name": "Borrar Historial",
+      "description": "Elimina todas las preguntas y respuestas almacenadas del historial de conversación",
+      "fields": {
+        "instance": {
+          "name": "Instancia",
+          "description": "Nombre de la instancia de IA de Texto de HA para borrar el historial"
+        }
+      }
+    },
+    "get_history": {
+      "name": "Obtener Historial",
+      "description": "Recupera el historial de conversación con filtrado y ordenación opcionales",
+      "fields": {
+        "instance": {
+          "name": "Instancia",
+          "description": "Nombre de la instancia de IA de Texto de HA para obtener historial"
+        },
+        "limit": {
+          "name": "Límite",
+          "description": "Número de conversaciones a devolver (1-100)"
+        },
+        "filter_model": {
+          "name": "Filtrar Modelo",
+          "description": "Filtrar conversaciones por modelo de IA específico"
+        },
+        "start_date": {
+          "name": "Fecha de Inicio",
+          "description": "Filtrar conversaciones a partir de esta fecha/hora"
+        },
+        "include_metadata": {
+          "name": "Incluir Metadatos",
+          "description": "Incluir información adicional como tokens utilizados, tiempo de respuesta, etc."
+        },
+        "sort_order": {
+          "name": "Orden de Clasificación",
+          "description": "Orden de clasificación para los resultados (más recientes o más antiguos primero)"
+        }
+      }
+    },
+    "set_system_prompt": {
+      "name": "Establecer Indicaciones del Sistema",
+      "description": "Establecer instrucciones de comportamiento del sistema predeterminadas para todas las futuras conversaciones",
+      "fields": {
+        "instance": {
+          "name": "Instancia",
+          "description": "Nombre de la instancia de IA de Texto de HA para establecer indicaciones del sistema"
+        },
+        "prompt": {
+          "name": "Indicaciones del Sistema",
+          "description": "Instrucciones que definen cómo debe comportarse y responder la IA"
+        }
+      }
+    }
+  },
+  "entity": {
+    "sensor": {
+      "ha_text_ai": {
+        "name": "{name}",
+        "state": {
+          "ready": "Listo",
+          "processing": "Procesando",
+          "error": "Error",
+          "disconnected": "Desconectado",
+          "rate_limited": "Limitado por tasa",
+          "maintenance": "Mantenimiento",
+          "initializing": "Inicializando",
+          "retrying": "Reintentando",
+          "queued": "En cola"
+        },
+        "state_attributes": {
+          "question": {
+            "name": "Última Pregunta"
+          },
+          "response": {
+            "name": "Última Respuesta"
+          },
+          "model": {
+            "name": "Modelo Actual"
+          },
+          "temperature": {
+            "name": "Temperatura"
+          },
+          "max_tokens": {
+            "name": "Máx. Tokens"
+          },
+          "system_prompt": {
+            "name": "Indicaciones del Sistema"
+          },
+          "response_time": {
+            "name": "Último Tiempo de Respuesta"
+          },
+          "total_responses": {
+            "name": "Total de Respuestas"
+          },
+          "error_count": {
+            "name": "Conteo de Errores"
+          },
+          "last_error": {
+            "name": "Último Error"
+          },
+          "api_status": {
+            "name": "Estado de API"
+          },
+          "tokens_used": {
+            "name": "Total de Tokens Usados"
+          },
+          "average_response_time": {
+            "name": "Tiempo de Respuesta Promedio"
+          },
+          "last_request_time": {
+            "name": "Último Tiempo de Solicitud"
+          },
+          "is_processing": {
+            "name": "Estado de Procesamiento"
+          },
+          "is_rate_limited": {
+            "name": "Estado Limitado por Tasa"
+          },
+          "is_maintenance": {
+            "name": "Estado de Mantenimiento"
+          },
+          "api_version": {
+            "name": "Versión de API"
+          },
+          "endpoint_status": {
+            "name": "Estado del Endpoint"
+          },
+          "performance_metrics": {
+            "name": "Métricas de Rendimiento"
+          },
+          "history_size": {
+            "name": "Tamaño del Historial"
+          },
+          "uptime": {
+            "name": "Tiempo de Actividad"
+          },
+          "total_tokens": {
+            "name": "Total de Tokens"
+          },
+          "prompt_tokens": {
+            "name": "Tokens de Solicitud"
+          },
+          "completion_tokens": {
+            "name": "Tokens de Finalización"
+          },
+          "successful_requests": {
+            "name": "Solicitudes Exitosas"
+          },
+          "failed_requests": {
+            "name": "Solicitudes Fallidas"
+          },
+          "average_latency": {
+            "name": "Latencia Promedio"
+          },
+          "max_latency": {
+            "name": "Latencia Máxima"
+          },
+          "min_latency": {
+            "name": "Latencia Mínima"
+          }
+        }
+      }
+    }
+  }
+}

custom_components/ha_text_ai/translations/hi.json

@@ -0,0 +1,298 @@
+{
+  "config": {
+    "step": {
+      "provider": {
+        "title": "एआई प्रदाता चुनें",
+        "description": "इस उदाहरण के लिए किस एआई सेवा प्रदाता का उपयोग करना है, चुनें।",
+        "data": {
+          "api_provider": "एपीआई प्रदाता",
+          "context_messages": "रखने के लिए संदर्भ संदेशों की संख्या (1-20)",
+          "max_history_size": "अधिकतम बातचीत इतिहास आकार (1-100)"
+        }
+      },
+      "provider": {
+        "title": "प्रदाता सेटिंग्स",
+        "description": "आपके द्वारा चुने गए एआई प्रदाता के लिए कनेक्शन विवरण प्रदान करें।",
+        "data": {
+          "name": "उदाहरण का नाम (जैसे, 'जीपीटी सहायक', 'क्लॉड सहायक')",
+          "api_key": "प्रमाणीकरण के लिए एपीआई कुंजी",
+          "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 (1-100000 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)"
+        }
+      },
+      "user": {
+        "title": "एचए टेक्स्ट एआई उदाहरण कॉन्फ़िगर करें",
+        "description": "अपने चुने हुए प्रदाता के साथ एक नया एआई सहायक उदाहरण सेट करें।",
+        "data": {
+          "name": "उदाहरण का नाम (जैसे, 'जीपीटी सहायक', 'क्लॉड सहायक')",
+          "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 (1-100000 टोकन)",
+          "api_endpoint": "कस्टम एपीआई एंडपॉइंट यूआरएल (वैकल्पिक)",
+          "api_provider": "एपीआई प्रदाता",
+          "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)"
+        }
+      }
+    },
+    "error": {
+      "history_storage_error": "इतिहास भंडारण प्रारंभ करने में विफल। अनुमतियों की जांच करें।",
+      "history_rotation_error": "इतिहास फ़ाइल घुमाने के दौरान त्रुटि।",
+      "history_file_access_error": "इतिहास भंडारण निर्देशिका तक पहुंच नहीं है।",
+      "name_exists": "इस नाम के साथ एक उदाहरण पहले से मौजूद है",
+      "invalid_name": "अमान्य उदाहरण नाम",
+      "invalid_auth": "प्रमाणीकरण विफल - अपनी एपीआई कुंजी की जांच करें",
+      "invalid_api_key": "अमान्य एपीआई कुंजी - कृपया अपनी क्रेडेंशियल्स की पुष्टि करें",
+      "cannot_connect": "एपीआई सेवा से कनेक्ट करने में विफल",
+      "invalid_model": "चुना हुआ मॉडल उपलब्ध नहीं है",
+      "rate_limit": "रेट सीमा पार",
+      "context_length": "संदर्भ लंबाई पार",
+      "rate_limit_exceeded": "एपीआई रेट सीमा पार",
+      "maintenance": "सेवा रखरखाव में है",
+      "invalid_response": "अमान्य एपीआई प्रतिक्रिया प्राप्त हुई",
+      "api_error": "एपीआई सेवा में त्रुटि हुई",
+      "timeout": "अनुरोध समय सीमा समाप्त",
+      "invalid_instance": "अमान्य उदाहरण निर्दिष्ट किया गया",
+      "unknown": "अप्रत्याशित त्रुटि हुई",
+      "empty": "नाम खाली नहीं हो सकता",
+      "invalid_characters": "नाम में केवल अक्षर, अंक, रिक्त स्थान, अंडरस्कोर और हाइफन हो सकते हैं",
+      "name_too_long": "नाम 50 अक्षरों या उससे कम होना चाहिए"
+    },
+    "abort": {
+      "already_configured": "उदाहरण पहले से कॉन्फ़िगर किया गया है"
+    }
+  },
+  "options": {
+    "step": {
+      "init": {
+        "title": "उदाहरण सेटिंग्स अपडेट करें",
+        "description": "इस एआई सहायक उदाहरण के लिए सेटिंग्स संशोधित करें।",
+        "data": {
+          "model": "एआई मॉडल",
+          "temperature": "प्रतिक्रिया की रचनात्मकता (0-2)",
+          "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)"
+        }
+      }
+    }
+  },
+  "selector": {
+    "api_provider": {
+      "options": {
+        "openai": "OpenAI (अनुकूलित)",
+        "anthropic": "Anthropic (अनुकूलित)",
+        "deepseek": "DeepSeek",
+        "gemini": "Google Gemini"
+      }
+    }
+  },
+  "services": {
+    "ask_question": {
+      "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": {
+          "name": "उदाहरण",
+          "description": "उपयोग करने के लिए एचए टेक्स्ट एआई उदाहरण का नाम"
+        },
+        "question": {
+          "name": "प्रश्न",
+          "description": "आपका प्रश्न या एआई सहायक के लिए प्रॉम्प्ट"
+        },
+        "context_messages": {
+          "name": "संदर्भ संदेश",
+          "description": "संदर्भ में शामिल करने के लिए पिछले संदेशों की संख्या (1-20)"
+        },
+        "system_prompt": {
+          "name": "सिस्टम प्रॉम्प्ट",
+          "description": "इस विशेष प्रश्न के लिए संदर्भ सेट करने के लिए वैकल्पिक सिस्टम प्रॉम्प्ट"
+        },
+        "model": {
+          "name": "मॉडल",
+          "description": "उपयोग करने के लिए एआई मॉडल का चयन करें (वैकल्पिक, डिफ़ॉल्ट सेटिंग को ओवरराइड करता है)"
+        },
+        "temperature": {
+          "name": "तापमान",
+          "description": "प्रतिक्रिया की रचनात्मकता को नियंत्रित करता है (0.0-2.0)"
+        },
+        "max_tokens": {
+          "name": "अधिकतम टोकन",
+          "description": "प्रतिक्रिया की अधिकतम लंबाई (1-100000 टोकन)"
+        }
+      }
+    },
+    "clear_history": {
+      "name": "इतिहास साफ करें",
+      "description": "बातचीत के इतिहास से सभी संग्रहीत प्रश्नों और प्रतिक्रियाओं को हटाएं",
+      "fields": {
+        "instance": {
+          "name": "उदाहरण",
+          "description": "इतिहास साफ़ करने के लिए एचए टेक्स्ट एआई उदाहरण का नाम"
+        }
+      }
+    },
+    "get_history": {
+      "name": "इतिहास प्राप्त करें",
+      "description": "वैकल्पिक फ़िल्टरिंग और छंटाई के साथ बातचीत का इतिहास प्राप्त करें",
+      "fields": {
+        "instance": {
+          "name": "उदाहरण",
+          "description": "इतिहास प्राप्त करने के लिए एचए टेक्स्ट एआई उदाहरण का नाम"
+        },
+        "limit": {
+          "name": "सीमा",
+          "description": "वापस करने के लिए बातचीत की संख्या (1-100)"
+        },
+        "filter_model": {
+          "name": "फिल्टर मॉडल",
+          "description": "विशिष्ट एआई मॉडल द्वारा बातचीत को फ़िल्टर करें"
+        },
+        "start_date": {
+          "name": "शुरुआत की तारीख",
+          "description": "इस दिन/समय से शुरू होने वाली बातचीत को फ़िल्टर करें"
+        },
+        "include_metadata": {
+          "name": "मेटाडेटा शामिल करें",
+          "description": "उपयोग किए गए टोकन, प्रतिक्रिया समय आदि जैसी अतिरिक्त जानकारी शामिल करें।"
+        },
+        "sort_order": {
+          "name": "छंटाई क्रम",
+          "description": "परिणामों के लिए छंटाई क्रम (नवीनतम या सबसे पुराना पहले)"
+        }
+      }
+    },
+    "set_system_prompt": {
+      "name": "सिस्टम प्रॉम्प्ट सेट करें",
+      "description": "सभी भविष्य की बातचीत के लिए डिफ़ॉल्ट सिस्टम व्यवहार निर्देश सेट करें",
+      "fields": {
+        "instance": {
+          "name": "उदाहरण",
+          "description": "सिस्टम प्रॉम्प्ट सेट करने के लिए एचए टेक्स्ट एआई उदाहरण का नाम"
+        },
+        "prompt": {
+          "name": "सिस्टम प्रॉम्प्ट",
+          "description": "निर्देश जो यह परिभाषित करते हैं कि एआई को कैसे व्यवहार करना चाहिए और प्रतिक्रिया देनी चाहिए"
+        }
+      }
+    }
+  },
+  "entity": {
+    "sensor": {
+      "ha_text_ai": {
+        "name": "{name}",
+        "state": {
+          "ready": "तैयार",
+          "processing": "प्रसंस्करण",
+          "error": "त्रुटि",
+          "disconnected": "असंयुक्त",
+          "rate_limited": "रेट सीमित",
+          "maintenance": "रखरखाव",
+          "initializing": "प्रारंभिककरण",
+          "retrying": "पुनः प्रयास कर रहा है",
+          "queued": "क्यू में"
+        },
+        "state_attributes": {
+          "question": {
+            "name": "अंतिम प्रश्न"
+          },
+          "response": {
+            "name": "अंतिम प्रतिक्रिया"
+          },
+          "model": {
+            "name": "वर्तमान मॉडल"
+          },
+          "temperature": {
+            "name": "तापमान"
+          },
+          "max_tokens": {
+            "name": "अधिकतम टोकन"
+          },
+          "system_prompt": {
+            "name": "सिस्टम प्रॉम्प्ट"
+          },
+          "response_time": {
+            "name": "अंतिम प्रतिक्रिया का समय"
+          },
+          "total_responses": {
+            "name": "कुल प्रतिक्रियाएं"
+          },
+          "error_count": {
+            "name": "त्रुटियों की संख्या"
+          },
+          "last_error": {
+            "name": "अंतिम त्रुटि"
+          },
+          "api_status": {
+            "name": "एपीआई स्थिति"
+          },
+          "tokens_used": {
+            "name": "कुल उपयोग किए गए टोकन"
+          },
+          "average_response_time": {
+            "name": "औसत प्रतिक्रिया समय"
+          },
+          "last_request_time": {
+            "name": "अंतिम अनुरोध का समय"
+          },
+          "is_processing": {
+            "name": "प्रसंस्करण स्थिति"
+          },
+          "is_rate_limited": {
+            "name": "रेट सीमित स्थिति"
+          },
+          "is_maintenance": {
+            "name": "रखरखाव स्थिति"
+          },
+          "api_version": {
+            "name": "एपीआई संस्करण"
+          },
+          "endpoint_status": {
+            "name": "एंडपॉइंट स्थिति"
+          },
+          "performance_metrics": {
+            "name": "प्रदर्शन मैट्रिक्स"
+          },
+          "history_size": {
+            "name": "इतिहास का आकार"
+          },
+          "uptime": {
+            "name": "अपटाइम"
+          },
+          "total_tokens": {
+            "name": "कुल टोकन"
+          },
+          "prompt_tokens": {
+            "name": "प्रॉम्प्ट टोकन"
+          },
+          "completion_tokens": {
+            "name": "पूर्णता टोकन"
+          },
+          "successful_requests": {
+            "name": "सफल अनुरोध"
+          },
+          "failed_requests": {
+            "name": "विफल अनुरोध"
+          },
+          "average_latency": {
+            "name": "औसत विलंबता"
+          },
+          "max_latency": {
+            "name": "अधिकतम विलंबता"
+          },
+          "min_latency": {
+            "name": "न्यूनतम विलंबता"
+          }
+        }
+      }
+    }
+  }
+}

custom_components/ha_text_ai/translations/it.json

@@ -0,0 +1,298 @@
+{
+  "config": {
+    "step": {
+      "provider": {
+        "title": "Seleziona fornitore AI",
+        "description": "Scegli quale fornitore di servizi AI utilizzare per questa istanza.",
+        "data": {
+          "api_provider": "Fornitore API",
+          "context_messages": "Numero di messaggi di contesto da mantenere (1-20)",
+          "max_history_size": "Dimensione massima della cronologia delle conversazioni (1-100)"
+        }
+      },
+      "provider": {
+        "title": "Impostazioni fornitore",
+        "description": "Fornisci i dettagli di connessione per il tuo fornitore di AI scelto.",
+        "data": {
+          "name": "Nome dell'istanza (es. 'Assistente GPT', 'Aiuto Claude')",
+          "api_key": "Chiave API per l'autenticazione",
+          "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 (1-100000 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)"
+        }
+      },
+      "user": {
+        "title": "Configura istanza AI di testo HA",
+        "description": "Imposta una nuova istanza di assistente AI con il fornitore selezionato.",
+        "data": {
+          "name": "Nome dell'istanza (es. 'Assistente GPT', 'Aiuto Claude')",
+          "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 (1-100000 token)",
+          "api_endpoint": "URL dell'endpoint API personalizzato (opzionale)",
+          "api_provider": "Fornitore API",
+          "request_interval": "Tempo minimo tra le richieste (0.1-60 secondi)",
+          "context_messages": "Numero di messaggi di contesto da mantenere (1-20)",
+          "max_history_size": "Dimensione massima della cronologia delle conversazioni (1-100)"
+        }
+      }
+    },
+    "error": {
+      "history_storage_error": "Impossibile inizializzare la memorizzazione della cronologia. Controlla i permessi.",
+      "history_rotation_error": "Errore durante la rotazione del file di cronologia.",
+      "history_file_access_error": "Impossibile accedere alla directory di memorizzazione della cronologia.",
+      "name_exists": "Esiste già un'istanza con questo nome",
+      "invalid_name": "Nome dell'istanza non valido",
+      "invalid_auth": "Autenticazione fallita - controlla la tua chiave API",
+      "invalid_api_key": "Chiave API non valida - verifica le tue credenziali",
+      "cannot_connect": "Impossibile connettersi al servizio API",
+      "invalid_model": "Il modello selezionato non è disponibile",
+      "rate_limit": "Limite di frequenza superato",
+      "context_length": "Lunghezza del contesto superata",
+      "rate_limit_exceeded": "Limite di frequenza API superato",
+      "maintenance": "Il servizio è in manutenzione",
+      "invalid_response": "Risposta API non valida ricevuta",
+      "api_error": "Si è verificato un errore nel servizio API",
+      "timeout": "Richiesta scaduta",
+      "invalid_instance": "Istanze specificata non valida",
+      "unknown": "Si è verificato un errore imprevisto",
+      "empty": "Il nome non può essere vuoto",
+      "invalid_characters": "Il nome può contenere solo lettere, numeri, spazi, trattini bassi e trattini",
+      "name_too_long": "Il nome deve essere lungo 50 caratteri o meno"
+    },
+    "abort": {
+      "already_configured": "Istanze già configurata"
+    }
+  },
+  "options": {
+    "step": {
+      "init": {
+        "title": "Aggiorna impostazioni dell'istanza",
+        "description": "Modifica le impostazioni per questa istanza di assistente AI.",
+        "data": {
+          "model": "Modello AI",
+          "temperature": "Creatività della risposta (0-2)",
+          "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)"
+        }
+      }
+    }
+  },
+  "selector": {
+    "api_provider": {
+      "options": {
+        "openai": "OpenAI (compatibile)",
+        "anthropic": "Anthropic (compatibile)",
+        "deepseek": "DeepSeek",
+        "gemini": "Google Gemini"
+      }
+    }
+  },
+  "services": {
+    "ask_question": {
+      "name": "Fai una domanda (HA Text AI)",
+      "description": "Invia una domanda al modello AI e ricevi una risposta dettagliata. La risposta sarà memorizzata nella cronologia delle conversazioni e potrà essere recuperata in seguito.",
+      "fields": {
+        "instance": {
+          "name": "Istanze",
+          "description": "Nome dell'istanza HA Text AI da utilizzare"
+        },
+        "question": {
+          "name": "Domanda",
+          "description": "La tua domanda o richiesta per l'assistente AI"
+        },
+        "context_messages": {
+          "name": "Messaggi di contesto",
+          "description": "Numero di messaggi precedenti da includere nel contesto (1-20)"
+        },
+        "system_prompt": {
+          "name": "Prompt di sistema",
+          "description": "Prompt di sistema opzionale per impostare il contesto per questa specifica domanda"
+        },
+        "model": {
+          "name": "Modello",
+          "description": "Seleziona il modello AI da utilizzare (opzionale, sovrascrive l'impostazione predefinita)"
+        },
+        "temperature": {
+          "name": "Temperatura",
+          "description": "Controlla la creatività della risposta (0.0-2.0)"
+        },
+        "max_tokens": {
+          "name": "Token massimi",
+          "description": "Lunghezza massima della risposta (1-100000 token)"
+        }
+      }
+    },
+    "clear_history": {
+      "name": "Cancella cronologia",
+      "description": "Elimina tutte le domande e risposte memorizzate dalla cronologia delle conversazioni",
+      "fields": {
+        "instance": {
+          "name": "Istanze",
+          "description": "Nome dell'istanza HA Text AI per cui cancellare la cronologia"
+        }
+      }
+    },
+    "get_history": {
+      "name": "Ottieni cronologia",
+      "description": "Recupera la cronologia delle conversazioni con opzioni di filtro e ordinamento",
+      "fields": {
+        "instance": {
+          "name": "Istanze",
+          "description": "Nome dell'istanza HA Text AI da cui recuperare la cronologia"
+        },
+        "limit": {
+          "name": "Limite",
+          "description": "Numero di conversazioni da restituire (1-100)"
+        },
+        "filter_model": {
+          "name": "Filtra modello",
+          "description": "Filtra le conversazioni per modello AI specifico"
+        },
+        "start_date": {
+          "name": "Data di inizio",
+          "description": "Filtra le conversazioni a partire da questa data/ora"
+        },
+        "include_metadata": {
+          "name": "Includi metadati",
+          "description": "Includi informazioni aggiuntive come token utilizzati, tempo di risposta, ecc."
+        },
+        "sort_order": {
+          "name": "Ordine di ordinamento",
+          "description": "Ordine di ordinamento per i risultati (più recenti o più vecchi per primi)"
+        }
+      }
+    },
+    "set_system_prompt": {
+      "name": "Imposta prompt di sistema",
+      "description": "Imposta le istruzioni di comportamento predefinite per tutte le future conversazioni",
+      "fields": {
+        "instance": {
+          "name": "Istanze",
+          "description": "Nome dell'istanza HA Text AI per cui impostare il prompt di sistema"
+        },
+        "prompt": {
+          "name": "Prompt di sistema",
+          "description": "Istruzioni che definiscono come l'AI dovrebbe comportarsi e rispondere"
+        }
+      }
+    }
+  },
+  "entity": {
+    "sensor": {
+      "ha_text_ai": {
+        "name": "{name}",
+        "state": {
+          "ready": "Pronto",
+          "processing": "Elaborazione",
+          "error": "Errore",
+          "disconnected": "Disconnesso",
+          "rate_limited": "Limite di frequenza",
+          "maintenance": "Manutenzione",
+          "initializing": "Inizializzazione",
+          "retrying": "Riprova",
+          "queued": "In coda"
+        },
+        "state_attributes": {
+          "question": {
+            "name": "Ultima domanda"
+          },
+          "response": {
+            "name": "Ultima risposta"
+          },
+          "model": {
+            "name": "Modello attuale"
+          },
+          "temperature": {
+            "name": "Temperatura"
+          },
+          "max_tokens": {
+            "name": "Token massimi"
+          },
+          "system_prompt": {
+            "name": "Prompt di sistema"
+          },
+          "response_time": {
+            "name": "Ultimo tempo di risposta"
+          },
+          "total_responses": {
+            "name": "Risposte totali"
+          },
+          "error_count": {
+            "name": "Conteggio errori"
+          },
+          "last_error": {
+            "name": "Ultimo errore"
+          },
+          "api_status": {
+            "name": "Stato API"
+          },
+          "tokens_used": {
+            "name": "Token totali utilizzati"
+          },
+          "average_response_time": {
+            "name": "Tempo medio di risposta"
+          },
+          "last_request_time": {
+            "name": "Ultimo tempo di richiesta"
+          },
+          "is_processing": {
+            "name": "Stato di elaborazione"
+          },
+          "is_rate_limited": {
+            "name": "Stato limite di frequenza"
+          },
+          "is_maintenance": {
+            "name": "Stato di manutenzione"
+          },
+          "api_version": {
+            "name": "Versione API"
+          },
+          "endpoint_status": {
+            "name": "Stato dell'endpoint"
+          },
+          "performance_metrics": {
+            "name": "Metriche di prestazione"
+          },
+          "history_size": {
+            "name": "Dimensione della cronologia"
+          },
+          "uptime": {
+            "name": "Tempo di attività"
+          },
+          "total_tokens": {
+            "name": "Token totali"
+          },
+          "prompt_tokens": {
+            "name": "Token di prompt"
+          },
+          "completion_tokens": {
+            "name": "Token di completamento"
+          },
+          "successful_requests": {
+            "name": "Richieste riuscite"
+          },
+          "failed_requests": {
+            "name": "Richieste fallite"
+          },
+          "average_latency": {
+            "name": "Latenza media"
+          },
+          "max_latency": {
+            "name": "Latenza massima"
+          },
+          "min_latency": {
+            "name": "Latenza minima"
+          }
+        }
+      }
+    }
+  }
+}

custom_components/ha_text_ai/translations/ru.json

@@ -2,99 +2,131 @@
   "config": {
     "step": {
       "provider": {
-        "title": "Выбор поставщика ИИ",
+        "title": "Выбор провайдера ИИ",
-        "description": "Выберите поставщика услуг ИИ для этой инстанции.",
+        "description": "Выберите сервис искусственного интеллекта для этого экземпляра.",
         "data": {
-          "api_provider": "Поставщик API",
+          "api_provider": "Провайдер API",
-          "context_messages": "Количество контекстных сообщений для сохранения (1-20)"
+          "context_messages": "Количество сохраняемых контекстных сообщений (1-20)",
+          "max_history_size": "Максимальный размер истории разговора (1-100)"
+        }
+      },
+      "provider": {
+        "title": "Настройки провайдера",
+        "description": "Укажите параметры подключения для выбранного провайдера ИИ.",
+        "data": {
+          "name": "Название экземпляра (например, 'GPT Помощник', 'Клод Ассистент')",
+          "api_key": "API-ключ для аутентификации",
+          "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 (1-100000 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)"
         }
       },
       "user": {
-        "title": "Настройка инстанции HA Text AI",
+        "title": "Настройка экземпляра текстового ИИ для Home Assistant",
-        "description": "Настройте новую инстанцию помощника ИИ с выбранным вами поставщиком.",
+        "description": "Настройте новый экземпляр ИИ-помощника с выбранным провайдером.",
         "data": {
-          "name": "Имя инстанции (например, 'GPT Assistant', 'Claude Helper')",
+          "name": "Название экземпляра (например, 'GPT Помощник', 'Клод Ассистент')",
           "api_key": "API-ключ для аутентификации",
-          "model": "Используемая модель ИИ",
+          "model": "Модель ИИ для использования",
-          "temperature": "Креативность ответа (0-2, чем ниже, тем больше фокусировки)",
+          "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": "Поставщик API",
+          "api_provider": "Провайдер API",
-          "request_interval": "Минимальное время между запросами (0,1-60 секунд)",
+          "request_interval": "Минимальный интервал между запросами (0.1-60 секунд)",
-          "context_messages": "Количество контекстных сообщений для сохранения (1-20)",
+          "context_messages": "Количество сохраняемых контекстных сообщений (1-20)",
           "max_history_size": "Максимальный размер истории разговора (1-100)"
         }
       }
     },
     "error": {
-      "name_exists": "Инстанция с таким именем уже существует",
+      "history_storage_error": "Не удалось инициализировать хранилище истории. Проверьте разрешения.",
-      "invalid_name": "Некорректное имя инстанции",
+      "history_rotation_error": "Ошибка при ротации файла истории.",
-      "invalid_auth": "Аутентификация не удалась - проверьте ваш API-ключ",
+      "history_file_access_error": "Невозможно получить доступ к директории хранения истории.",
-      "invalid_api_key": "Неверный API-ключ - проверьте ваши учетные данные",
+      "name_exists": "Экземпляр с таким именем уже существует",
-      "cannot_connect": "Не удалось подключиться к службе API",
+      "invalid_name": "Недопустимое имя экземпляра",
+      "invalid_auth": "Ошибка аутентификации - проверьте API-ключ",
+      "invalid_api_key": "Недопустимый API-ключ - пожалуйста, проверьте учетные данные",
+      "cannot_connect": "Не удалось подключиться к сервису API",
       "invalid_model": "Выбранная модель недоступна",
       "rate_limit": "Превышен лимит запросов",
       "context_length": "Превышена длина контекста",
       "rate_limit_exceeded": "Превышен лимит запросов API",
       "maintenance": "Сервис находится на техническом обслуживании",
-      "invalid_response": "Получен неверный ответ API",
+      "invalid_response": "Получен некорректный ответ API",
-      "api_error": "Произошла ошибка службы API",
+      "api_error": "Произошла ошибка сервиса API",
-      "timeout": "Запрос превысил время ожидания",
+      "timeout": "Время ожидания запроса истекло",
-      "invalid_instance": "Указана неверная инстанция",
+      "invalid_instance": "Указан некорректный экземпляр",
       "unknown": "Произошла непредвиденная ошибка",
       "empty": "Имя не может быть пустым",
       "invalid_characters": "Имя может содержать только буквы, цифры, пробелы, подчеркивания и дефисы",
-      "name_too_long": "Имя должно быть не более 50 символов"
+      "name_too_long": "Имя должно быть не длиннее 50 символов"
+    },
+    "abort": {
+      "already_configured": "Экземпляр уже настроен"
     }
   },
   "options": {
     "step": {
       "init": {
-        "title": "Обновление настроек инстанции",
+        "title": "Обновление настроек экземпляра",
-        "description": "Измените настройки для этой инстанции помощника ИИ.",
+        "description": "Измените настройки для этого экземпляра ИИ-помощника.",
         "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)",
+          "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)"
         }
       }
     }
   },
+  "selector": {
+    "api_provider": {
+      "options": {
+        "openai": "OpenAI (совместимый)",
+        "anthropic": "Anthropic (совместимый)",
+        "deepseek": "DeepSeek",
+        "gemini": "Google Gemini"
+      }
+    }
+  },
   "services": {
     "ask_question": {
       "name": "Задать вопрос (HA Text AI)",
-      "description": "Отправьте вопрос модели ИИ и получите подробный ответ. Ответ будет сохранен в истории разговора и может быть извлечен позже.",
+      "description": "Отправить вопрос модели ИИ и получить подробный ответ. Ответ будет сохранен в истории разговора и может быть получен позже.",
       "fields": {
         "instance": {
-          "name": "Инстанция",
+          "name": "Экземпляр",
-          "description": "Имя используемой инстанции HA Text AI"
+          "description": "Название экземпляра текстового ИИ для использования"
         },
         "question": {
           "name": "Вопрос",
-          "description": "Ваш вопрос или запрос к помощнику ИИ"
+          "description": "Ваш вопрос или запрос к ИИ-помощнику"
         },
         "context_messages": {
           "name": "Контекстные сообщения",
           "description": "Количество предыдущих сообщений для включения в контекст (1-20)"
         },
         "system_prompt": {
-          "name": "Системный запрос",
+          "name": "Системный промпт",
-          "description": "Необязательный системный запрос для установки контекста для этого конкретного вопроса"
+          "description": "Необязательный системный промпт для установки контекста для этого конкретного вопроса"
         },
         "model": {
           "name": "Модель",
-          "description": "Выберите модель ИИ для использования (необязательно, переопределяет настройку по умолчанию)"
+          "description": "Выберите модель ИИ для использования (необязательно, переопределяет настройки по умолчанию)"
         },
         "temperature": {
           "name": "Температура",
-          "description": "Управляет креативностью ответа (0.0-2.0)"
+          "description": "Управление креативностью ответа (0.0-2.0)"
         },
         "max_tokens": {
-          "name": "Макс. токенов",
+          "name": "Максимум токенов",
-          "description": "Максимальная длина ответа (1-4096 токенов)"
+          "description": "Максимальная длина ответа (1-100000 токенов)"
         }
       }
     },
@@ -103,18 +135,18 @@
       "description": "Удалить все сохраненные вопросы и ответы из истории разговора",
       "fields": {
         "instance": {
-          "name": "Инстанция",
+          "name": "Экземпляр",
-          "description": "Имя инстанции HA Text AI, для которой нужно очистить историю"
+          "description": "Название экземпляра текстового ИИ для очистки истории"
         }
       }
     },
     "get_history": {
       "name": "Получить историю",
-      "description": "Извлечь историю разговора с возможностью фильтрации и сортировки",
+      "description": "Получить историю разговора с дополнительной фильтрацией и сортировкой",
       "fields": {
         "instance": {
-          "name": "Инстанция",
+          "name": "Экземпляр",
-          "description": "Имя инстанции HA Text AI, из которой нужно получить историю"
+          "description": "Название экземпляра текстового ИИ для получения истории"
         },
         "limit": {
           "name": "Лимит",
@@ -122,33 +154,33 @@
         },
         "filter_model": {
           "name": "Фильтр модели",
-          "description": "Фильтрация разговоров по определенной модели ИИ"
+          "description": "Фильтрация разговоров по конкретной модели ИИ"
         },
         "start_date": {
-          "name": "Дата начала",
+          "name": "Начальная дата",
-          "description": "Фильтрация разговоров, начиная с этой даты/времени"
+          "description": "Фильтрация разговоров, начиная с указанной даты/времени"
         },
         "include_metadata": {
           "name": "Включить метаданные",
-          "description": "Включить дополнительную информацию, такую как использованные токены, время ответа и т.д."
+          "description": "Включить дополнительную информацию, например, использованные токены, время ответа и т.д."
         },
         "sort_order": {
           "name": "Порядок сортировки",
-          "description": "Порядок сортировки результатов (самые новые или самые старые)"
+          "description": "Порядок сортировки результатов (сначала новые или старые)"
         }
       }
     },
     "set_system_prompt": {
-      "name": "Установить системный запрос",
+      "name": "Установить системный промпт",
-      "description": "Установить инструкции по умолчанию для поведения системы для всех будущих разговоров",
+      "description": "Установить инструкции по умолчанию для поведения ИИ во всех будущих разговорах",
       "fields": {
         "instance": {
-          "name": "Инстанция",
+          "name": "Экземпляр",
-          "description": "Имя инстанции HA Text AI, для которой нужно установить системный запрос"
+          "description": "Название экземпляра текстового ИИ для установки системного промпта"
         },
         "prompt": {
-          "name": "Системный запрос",
+          "name": "Системный промпт",
-          "description": "Инструкции, определяющие, как ИИ должен себя вести и отвечать"
+          "description": "Инструкции, определяющие, как ИИ должен вести себя и отвечать"
         }
       }
     }
@@ -182,10 +214,10 @@
             "name": "Температура"
           },
           "max_tokens": {
-            "name": "Макс. токенов"
+            "name": "Максимум токенов"
           },
           "system_prompt": {
-            "name": "Системный запрос"
+            "name": "Системный промпт"
           },
           "response_time": {
             "name": "Время последнего ответа"
@@ -203,7 +235,7 @@
             "name": "Статус API"
           },
           "tokens_used": {
-            "name": "Использовано токенов всего"
+            "name": "Всего использовано токенов"
           },
           "average_response_time": {
             "name": "Среднее время ответа"
@@ -215,10 +247,10 @@
             "name": "Статус обработки"
           },
           "is_rate_limited": {
-            "name": "Статус ограничения запросов"
+            "name": "Статус лимита запросов"
           },
           "is_maintenance": {
-            "name": "Статус технического обслуживания"
+            "name": "Статус обслуживания"
           },
           "api_version": {
             "name": "Версия API"
@@ -227,7 +259,7 @@
             "name": "Статус конечной точки"
           },
           "performance_metrics": {
-            "name": "Метрики производительности"
+            "name": "Показатели производительности"
           },
           "history_size": {
             "name": "Размер истории"
@@ -239,16 +271,16 @@
             "name": "Всего токенов"
           },
           "prompt_tokens": {
-            "name": "Токены запроса"
+            "name": "Токены промпта"
           },
           "completion_tokens": {
             "name": "Токены завершения"
           },
           "successful_requests": {
-            "name": "Успешных запросов"
+            "name": "Успешные запросы"
           },
           "failed_requests": {
-            "name": "Неудачных запросов"
+            "name": "Неудачные запросы"
           },
           "average_latency": {
             "name": "Средняя задержка"

custom_components/ha_text_ai/translations/sr.json

@@ -0,0 +1,298 @@
+{
+  "config": {
+    "step": {
+      "provider": {
+        "title": "Изаберите AI провајдера",
+        "description": "Изаберите који AI сервис провајдер да користите за ову инстанцу.",
+        "data": {
+          "api_provider": "API провајдер",
+          "context_messages": "Број контекстуалних порука које треба задржати (1-20)",
+          "max_history_size": "Максимална величина историје разговора (1-100)"
+        }
+      },
+      "provider": {
+        "title": "Подешавања провајдера",
+        "description": "Обезбедите детаље о вези за изабраног AI провајдера.",
+        "data": {
+          "name": "Име инстанце (нпр. 'GPT Асистент', 'Claude Помоћник')",
+          "api_key": "API кључ за аутентификацију",
+          "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 (1-100000 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)"
+        }
+      },
+      "user": {
+        "title": "Конфигуришите HA Text AI инстанцу",
+        "description": "Подесите нову AI асистент инстанцу са изабраним провајдером.",
+        "data": {
+          "name": "Име инстанце (нпр. 'GPT Асистент', 'Claude Помоћник')",
+          "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 (1-100000 токена)",
+          "api_endpoint": "Прилагођени URL API крајње тачке (опционо)",
+          "api_provider": "API провајдер",
+          "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)"
+        }
+      }
+    },
+    "error": {
+      "history_storage_error": "Неуспела инициализација складишта историје. Проверите дозволе.",
+      "history_rotation_error": "Грешка током ротације историјских датотека.",
+      "history_file_access_error": "Немогуће приступити директоријуму складишта историје.",
+      "name_exists": "Инстанца са овим именом већ постоји",
+      "invalid_name": "Неважеће име инстанце",
+      "invalid_auth": "Аутентификација није успела - проверите ваш API кључ",
+      "invalid_api_key": "Неважећи API кључ - молимо проверите ваше акредитиве",
+      "cannot_connect": "Неуспело повезивање са API сервисом",
+      "invalid_model": "Изабрани модел није доступан",
+      "rate_limit": "Пређена граница захтева",
+      "context_length": "Дужина контекста пређена",
+      "rate_limit_exceeded": "Пређена граница API захтева",
+      "maintenance": "Сервис је у одржавању",
+      "invalid_response": "Примљен неважећи API одговор",
+      "api_error": "Дошло је до грешке у API сервису",
+      "timeout": "Време захтева је истекло",
+      "invalid_instance": "Неважећа инстанца је назначена",
+      "unknown": "Дошло је до неочекиване грешке",
+      "empty": "Име не може бити празно",
+      "invalid_characters": "Име може садржавати само слова, цифре, размаке, подцрта и цртице",
+      "name_too_long": "Име мора бити 50 знакова или мање"
+    },
+    "abort": {
+      "already_configured": "Инстанца је већ конфигурисана"
+    }
+  },
+  "options": {
+    "step": {
+      "init": {
+        "title": "Ажурирајте подешавања инстанце",
+        "description": "Измените подешавања за ову AI асистент инстанцу.",
+        "data": {
+          "model": "AI модел",
+          "temperature": "Креативност одговора (0-2)",
+          "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)"
+        }
+      }
+    }
+  },
+  "selector": {
+    "api_provider": {
+      "options": {
+        "openai": "OpenAI (компатибилан)",
+        "anthropic": "Anthropic (компатибилан)",
+        "deepseek": "DeepSeek",
+        "gemini": "Google Gemini"
+      }
+    }
+  },
+  "services": {
+    "ask_question": {
+      "name": "Поставите питање (HA Text AI)",
+      "description": "Пошаљите питање AI моделу и примите детаљан одговор. Одговор ће бити сачуван у историји разговора и може се касније повратити.",
+      "fields": {
+        "instance": {
+          "name": "Инстанца",
+          "description": "Име HA Text AI инстанце коју ћете користити"
+        },
+        "question": {
+          "name": "Питање",
+          "description": "Ваше питање или упит за AI асистента"
+        },
+        "context_messages": {
+          "name": "Контекстуалне поруке",
+          "description": "Број претходних порука које треба укључити у контекст (1-20)"
+        },
+        "system_prompt": {
+          "name": "Системски упит",
+          "description": "Опционални системски упит за постављање контекста за ово конкретно питање"
+        },
+        "model": {
+          "name": "Модел",
+          "description": "Изаберите AI модел који ћете користити (опционо, надмашује подразумевану поставку)"
+        },
+        "temperature": {
+          "name": "Температура",
+          "description": "Контролише креативност одговора (0.0-2.0)"
+        },
+        "max_tokens": {
+          "name": "Максимални токени",
+          "description": "Максимална дужина одговора (1-100000 токена)"
+        }
+      }
+    },
+    "clear_history": {
+      "name": "Обриши историју",
+      "description": "Избришите све сачуване питања и одговоре из историје разговора",
+      "fields": {
+        "instance": {
+          "name": "Инстанца",
+          "description": "Име HA Text AI инстанце за коју желите да обришете историју"
+        }
+      }
+    },
+    "get_history": {
+      "name": "Добијте историју",
+      "description": "Повратите историју разговора уз опционално филтрирање и сортирање",
+      "fields": {
+        "instance": {
+          "name": "Инстанца",
+          "description": "Име HA Text AI инстанце из које желите да добијете историју"
+        },
+        "limit": {
+          "name": "Лимит",
+          "description": "Број разговора које треба вратити (1-100)"
+        },
+        "filter_model": {
+          "name": "Филтер модел",
+          "description": "Филтрирајте разговоре по одређеном AI моделу"
+        },
+        "start_date": {
+          "name": "Датум почетка",
+          "description": "Филтрирајте разговоре који почињу од овог датума/времена"
+        },
+        "include_metadata": {
+          "name": "Укључи метаподатке",
+          "description": "Укључите додатне информације као што су коришћени токени, време одговора итд."
+        },
+        "sort_order": {
+          "name": "Редослед сортирања",
+          "description": "Редослед сортирања за резултате (најновији или најстарији први)"
+        }
+      }
+    },
+    "set_system_prompt": {
+      "name": "Поставите системски упит",
+      "description": "Поставите подразумеване инструкције за системско понашање за све будуће разговоре",
+      "fields": {
+        "instance": {
+          "name": "Инстанца",
+          "description": "Име HA Text AI инстанце за коју желите да поставите системски упит"
+        },
+        "prompt": {
+          "name": "Системски упит",
+          "description": "Инструкције које дефинишу како AI треба да се понаша и одговара"
+        }
+      }
+    }
+  },
+  "entity": {
+    "sensor": {
+      "ha_text_ai": {
+        "name": "{name}",
+        "state": {
+          "ready": "Спремно",
+          "processing": "Обрада",
+          "error": "Грешка",
+          "disconnected": "Прекључено",
+          "rate_limited": "Ограничење захтева",
+          "maintenance": "Одржавање",
+          "initializing": "Инициализује се",
+          "retrying": "Покушава поново",
+          "queued": "У реду"
+        },
+        "state_attributes": {
+          "question": {
+            "name": "Последње питање"
+          },
+          "response": {
+            "name": "Последњи одговор"
+          },
+          "model": {
+            "name": "Тренутни модел"
+          },
+          "temperature": {
+            "name": "Температура"
+          },
+          "max_tokens": {
+            "name": "Максимални токени"
+          },
+          "system_prompt": {
+            "name": "Системски упит"
+          },
+          "response_time": {
+            "name": "Време последњег одговора"
+          },
+          "total_responses": {
+            "name": "Укупно одговора"
+          },
+          "error_count": {
+            "name": "Број грешака"
+          },
+          "last_error": {
+            "name": "Последња грешка"
+          },
+          "api_status": {
+            "name": "Статус API"
+          },
+          "tokens_used": {
+            "name": "Укупно коришћени токени"
+          },
+          "average_response_time": {
+            "name": "Просечно време одговора"
+          },
+          "last_request_time": {
+            "name": "Време последњег захтева"
+          },
+          "is_processing": {
+            "name": "Статус обраде"
+          },
+          "is_rate_limited": {
+            "name": "Статус ограничења захтева"
+          },
+          "is_maintenance": {
+            "name": "Статус одржавања"
+          },
+          "api_version": {
+            "name": "Верзија API"
+          },
+          "endpoint_status": {
+            "name": "Статус крајње тачке"
+          },
+          "performance_metrics": {
+            "name": "Перформансне метрике"
+          },
+          "history_size": {
+            "name": "Величина историје"
+          },
+          "uptime": {
+            "name": "Уптиме"
+          },
+          "total_tokens": {
+            "name": "Укупно токена"
+          },
+          "prompt_tokens": {
+            "name": "Токени упита"
+          },
+          "completion_tokens": {
+            "name": "Токени завршетка"
+          },
+          "successful_requests": {
+            "name": "Успешни захтеви"
+          },
+          "failed_requests": {
+            "name": "Неуспешни захтеви"
+          },
+          "average_latency": {
+            "name": "Просечна латенција"
+          },
+          "max_latency": {
+            "name": "Максимална латенција"
+          },
+          "min_latency": {
+            "name": "Минимална латенција"
+          }
+        }
+      }
+    }
+  }
+}

custom_components/ha_text_ai/translations/zh.json

@@ -0,0 +1,298 @@
+{
+  "config": {
+    "step": {
+      "provider": {
+        "title": "选择AI提供者",
+        "description": "选择要用于此实例的AI服务提供者。",
+        "data": {
+          "api_provider": "API提供者",
+          "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）"
+        }
+      },
+      "provider": {
+        "title": "提供者设置",
+        "description": "提供所选AI提供者的连接详细信息。",
+        "data": {
+          "name": "实例名称（例如，'GPT助手'，'Claude助手'）",
+          "api_key": "用于身份验证的API密钥",
+          "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（1-100000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）"
+        }
+      },
+      "user": {
+        "title": "配置HA文本AI实例",
+        "description": "使用所选提供者设置新的AI助手实例。",
+        "data": {
+          "name": "实例名称（例如，'GPT助手'，'Claude助手'）",
+          "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（1-100000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）",
+          "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）"
+        }
+      }
+    },
+    "error": {
+      "history_storage_error": "无法初始化历史存储。检查权限。",
+      "history_rotation_error": "历史文件轮换时出错。",
+      "history_file_access_error": "无法访问历史存储目录。",
+      "name_exists": "具有此名称的实例已存在",
+      "invalid_name": "无效的实例名称",
+      "invalid_auth": "身份验证失败 - 检查您的API密钥",
+      "invalid_api_key": "无效的API密钥 - 请验证您的凭据",
+      "cannot_connect": "无法连接到API服务",
+      "invalid_model": "所选模型不可用",
+      "rate_limit": "超出速率限制",
+      "context_length": "上下文长度超出限制",
+      "rate_limit_exceeded": "API速率限制超出",
+      "maintenance": "服务正在维护中",
+      "invalid_response": "收到无效的API响应",
+      "api_error": "发生API服务错误",
+      "timeout": "请求超时",
+      "invalid_instance": "指定的实例无效",
+      "unknown": "发生意外错误",
+      "empty": "名称不能为空",
+      "invalid_characters": "名称只能包含字母、数字、空格、下划线和连字符",
+      "name_too_long": "名称必须少于50个字符"
+    },
+    "abort": {
+      "already_configured": "实例已配置"
+    }
+  },
+  "options": {
+    "step": {
+      "init": {
+        "title": "更新实例设置",
+        "description": "修改此AI助手实例的设置。",
+        "data": {
+          "model": "AI模型",
+          "temperature": "响应创造力（0-2）",
+          "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）"
+        }
+      }
+    }
+  },
+  "selector": {
+    "api_provider": {
+      "options": {
+        "openai": "OpenAI（兼容）",
+        "anthropic": "Anthropic（兼容）",
+        "deepseek": "DeepSeek",
+        "gemini": "Google Gemini"
+      }
+    }
+  },
+  "services": {
+    "ask_question": {
+      "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": {
+          "name": "实例",
+          "description": "要使用的HA文本AI实例名称"
+        },
+        "question": {
+          "name": "问题",
+          "description": "您对AI助手的问题或提示"
+        },
+        "context_messages": {
+          "name": "上下文消息",
+          "description": "要包含在上下文中的先前消息数量（1-20）"
+        },
+        "system_prompt": {
+          "name": "系统提示",
+          "description": "可选的系统提示，用于为此特定问题设置上下文"
+        },
+        "model": {
+          "name": "模型",
+          "description": "选择要使用的AI模型（可选，覆盖默认设置）"
+        },
+        "temperature": {
+          "name": "温度",
+          "description": "控制响应创造力（0.0-2.0）"
+        },
+        "max_tokens": {
+          "name": "最大标记数",
+          "description": "响应的最大长度（1-100000个标记）"
+        }
+      }
+    },
+    "clear_history": {
+      "name": "清除历史",
+      "description": "删除对话历史中存储的所有问题和响应",
+      "fields": {
+        "instance": {
+          "name": "实例",
+          "description": "要清除历史的HA文本AI实例名称"
+        }
+      }
+    },
+    "get_history": {
+      "name": "获取历史",
+      "description": "检索对话历史，可选的过滤和排序",
+      "fields": {
+        "instance": {
+          "name": "实例",
+          "description": "要获取历史的HA文本AI实例名称"
+        },
+        "limit": {
+          "name": "限制",
+          "description": "要返回的对话数量（1-100）"
+        },
+        "filter_model": {
+          "name": "过滤模型",
+          "description": "按特定AI模型过滤对话"
+        },
+        "start_date": {
+          "name": "开始日期",
+          "description": "过滤从此日期/时间开始的对话"
+        },
+        "include_metadata": {
+          "name": "包含元数据",
+          "description": "包括额外信息，如使用的标记、响应时间等。"
+        },
+        "sort_order": {
+          "name": "排序顺序",
+          "description": "结果的排序顺序（最新或最旧优先）"
+        }
+      }
+    },
+    "set_system_prompt": {
+      "name": "设置系统提示",
+      "description": "为所有未来的对话设置默认的系统行为指令",
+      "fields": {
+        "instance": {
+          "name": "实例",
+          "description": "要设置系统提示的HA文本AI实例名称"
+        },
+        "prompt": {
+          "name": "系统提示",
+          "description": "定义AI应如何行为和响应的指令"
+        }
+      }
+    }
+  },
+  "entity": {
+    "sensor": {
+      "ha_text_ai": {
+        "name": "{name}",
+        "state": {
+          "ready": "准备就绪",
+          "processing": "处理中",
+          "error": "错误",
+          "disconnected": "已断开连接",
+          "rate_limited": "速率限制",
+          "maintenance": "维护中",
+          "initializing": "初始化中",
+          "retrying": "重试中",
+          "queued": "排队中"
+        },
+        "state_attributes": {
+          "question": {
+            "name": "最后问题"
+          },
+          "response": {
+            "name": "最后响应"
+          },
+          "model": {
+            "name": "当前模型"
+          },
+          "temperature": {
+            "name": "温度"
+          },
+          "max_tokens": {
+            "name": "最大标记数"
+          },
+          "system_prompt": {
+            "name": "系统提示"
+          },
+          "response_time": {
+            "name": "最后响应时间"
+          },
+          "total_responses": {
+            "name": "总响应数"
+          },
+          "error_count": {
+            "name": "错误计数"
+          },
+          "last_error": {
+            "name": "最后错误"
+          },
+          "api_status": {
+            "name": "API状态"
+          },
+          "tokens_used": {
+            "name": "总使用标记数"
+          },
+          "average_response_time": {
+            "name": "平均响应时间"
+          },
+          "last_request_time": {
+            "name": "最后请求时间"
+          },
+          "is_processing": {
+            "name": "处理状态"
+          },
+          "is_rate_limited": {
+            "name": "速率限制状态"
+          },
+          "is_maintenance": {
+            "name": "维护状态"
+          },
+          "api_version": {
+            "name": "API版本"
+          },
+          "endpoint_status": {
+            "name": "端点状态"
+          },
+          "performance_metrics": {
+            "name": "性能指标"
+          },
+          "history_size": {
+            "name": "历史大小"
+          },
+          "uptime": {
+            "name": "正常运行时间"
+          },
+          "total_tokens": {
+            "name": "总标记数"
+          },
+          "prompt_tokens": {
+            "name": "提示标记数"
+          },
+          "completion_tokens": {
+            "name": "完成标记数"
+          },
+          "successful_requests": {
+            "name": "成功请求数"
+          },
+          "failed_requests": {
+            "name": "失败请求数"
+          },
+          "average_latency": {
+            "name": "平均延迟"
+          },
+          "max_latency": {
+            "name": "最大延迟"
+          },
+          "min_latency": {
+            "name": "最小延迟"
+          }
+        }
+      }
+    }
+  }
+}

hacs.json

@@ -1,5 +1,5 @@
 {
-  "name": "HA text AI",
+  "name": "HA Text AI",
   "render_readme": true,
   "homeassistant": "2024.11.0"
 }

structure.md

@@ -1,25 +1,30 @@
 ```
-ha-text-ai/
+ha_text_ai/
-│
+├── __init__.py
-├── custom_components/
+├── api_client.py
-    ├── ha_text_ai/
+├── config_flow.py
-    │   ├── __init__.py
+├── const.py
-    │   ├── config_flow.py
+├── coordinator.py
-    │   ├── coordinator.py
+├── icons
-    │   ├── manifest.json
+│   ├── dark_icon.png
-    │   ├── sensor.py
+│   ├── dark_icon@2x.png
-    │   ├── services.yaml
+│   ├── dark_logo.png
-    │   ├── const.py
+│   ├── dark_logo@2x.png
-    │   └── api_client.py
+│   ├── icon.png
-    │
+│   ├── icon@2x.png
-    ├── translations/
+│   ├── logo.png
-    │   ├── en.json
+│   └── logo@2x.png
-    │   ├── de.json
+├── manifest.json
-    │   └── ru.json
+├── sensor.py
-    │
+├── services.yaml
-    └── icons/
+└── translations
-        ├── icon.png
+    ├── de.json
-        ├── icon@2x.png
+    ├── en.json
-        ├── logo.png
+    ├── es.json
-        └── logo@2x.png
+    ├── hi.json
+    ├── it.json
+    ├── ru.json
+    ├── sr.json
+    └── zh.json
+
 ```