Release 2.0.5-beta

- Added translations for:
  * Chinese (zh)
  * Serbian (sr)
  * Italian (it)
  * Hindi (hi)
  * Spanish (es)

- Fixed minor bugs
- Improved language coverage

.github/ISSUE_TEMPLATE/bug_report.md

@@ -3,7 +3,7 @@ name: Bug report
 about: Create a report to help us improve
 title: ''
 labels: bug
-assignees: ''
+assignees: '' 
 
 ---
 

.github/ISSUE_TEMPLATE/feature_request.md

@@ -3,7 +3,7 @@ name: Feature request
 about: Suggest an idea for this project
 title: ''
 labels: enhancement
-assignees: ''
+assignees: '' 
 
 ---
 

.github/workflows/validate.yaml

@@ -0,0 +1,17 @@
+name: Validate
+
+on:
+  push:
+  pull_request:
+  schedule:
+    - cron: "0 0 * * *"
+  workflow_dispatch:
+
+jobs:
+  validate-hacs:
+    runs-on: "ubuntu-latest"
+    steps:
+      - name: HACS validation
+        uses: "hacs/action@main"
+        with:
+          category: "integration"

.gitignore

@@ -37,3 +37,4 @@ wheels/
 Thumbs.db
 *.psd
 *.zip
+*.txt

CONTRIBUTING.md

@@ -21,7 +21,7 @@ We welcome contributions to the HA Text AI project! This document will help you
    git remote add upstream https://github.com/smkrv/ha-text-ai.git
    ```
 
-### 2. Creating a Development Branch
+### 2. Creating a Development Branch 
 
 ```bash
 # Update the main branch

LICENSE

@@ -1,22 +1,437 @@
-MIT License
+Attribution-NonCommercial-ShareAlike 4.0 International
 
-Copyright (c) 2024 smkrv
+=======================================================================
 
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README.md

@@ -2,22 +2,28 @@
 
 <div align="center">  
 
-  ![GitHub release](https://img.shields.io/github/release/smkrv/ha-text-ai.svg?style=flat-square) ![GitHub downloads](https://img.shields.io/github/downloads/smkrv/ha-text-ai/total.svg?style=flat-square) ![GitHub stars](https://img.shields.io/github/stars/smkrv/ha-text-ai.svg?style=social) ![GitHub last commit](https://img.shields.io/github/last-commit/smkrv/ha-text-ai.svg?style=flat-square) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg?style=flat-square)](https://opensource.org/licenses/MIT) [![hacs_badge](https://img.shields.io/badge/HACS-Custom-41BDF5.svg?style=flat-square)](https://github.com/hacs/integration)
+![GitHub release](https://img.shields.io/github/release/smkrv/ha-text-ai.svg?style=flat-square) ![GitHub last commit](https://img.shields.io/github/last-commit/smkrv/ha-text-ai.svg?style=flat-square) [![License: CC BY-NC-SA 4.0](https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg?style=flat-square)](https://creativecommons.org/licenses/by-nc-sa/4.0/) [![hacs_badge](https://img.shields.io/badge/HACS-Custom-41BDF5.svg?style=flat-square)](https://github.com/hacs/integration) ![/README.md](https://img.shields.io/badge/language-English-green?style=flat-square) ![/README_RU.md](https://img.shields.io/badge/language-Russian-green?style=flat-square) ![](https://img.shields.io/badge/language-Deutch-green?style=flat-square)
 
-  <img src="https://github.com/smkrv/ha-text-ai/blob/3e3ec45b195c92989434fde40ae110027f4ea124/misc/icons/icon.png" alt="HA Text AI" width="140"/>
+  <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 multi-provider support
+### 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.
+
 </p>
 
 ---
-> [!NOTE]
+
-> 🚧 ALPHA VERSION 🚧  
+> [!IMPORTANT]
-> Expect: potential bugs, frequent changes, incomplete features.
+> 🚧 BETA VERSION  
-> 🤝 Community Driven
+> Expect: potential bugs, frequent changes, incomplete features.  
+> 🤝 Community Driven  
+>
+>  <a href="https://community.home-assistant.io/t/ha-text-ai-transforming-home-automation-with-multi-provider-language-models/799741"><img src="https://img.shields.io/badge/Community-blue?style=for-the-badge&logo=homeassistant&logoColor=white&color=03a9f4"/></a>  
+>  
+> [Screenshots](misc/screenshots/screenshot.jpg)
 
 ## 🌟 Features
 
@@ -34,10 +40,10 @@ Transform your smart home experience with powerful AI assistance powered by mult
   - Natural conversation flow
 
 - 📝 **Enhanced Memory Management**:
-  - Persistent conversation history
+  - File-based conversation history storage
-  - Context-aware responses
+  - Automatic history rotation
-  - Customizable history limits
+  - Configurable history size limits
-  - Model-specific filtering
+  - Secure storage in Home Assistant
 
 - ⚡ **Performance Optimization**:
   - Efficient token usage
@@ -71,7 +77,7 @@ Transform your smart home experience with powerful AI assistance powered by mult
 
 ## 📋 Prerequisites
 
-- Home Assistant 2023.11 or later
+- Home Assistant 2024.11 or later
 - Active API key from:
   - OpenAI ([Get key](https://platform.openai.com/account/api-keys))
   - Anthropic ([Get key](https://console.anthropic.com/))
@@ -139,20 +145,63 @@ To be compatible, a provider should support:
 4. Follow the configuration steps
 
 ### Via YAML
+
+### Platform Configuration (Global Settings)
+
 ```yaml
 ha_text_ai:
-  api_provider: openai  # or anthropic
+  api_provider: openai  # Required
-  api_key: !secret ai_api_key
+  api_key: !secret ai_api_key  # Required
-  model: gpt-4o-mini
+  model: gpt-4o-mini  # Strongly recommended
-  temperature: 0.7
+  temperature: 0.7  # Optional
-  max_tokens: 1000
+  max_tokens: 1000  # Optional
-  request_interval: 1.0
+  request_interval: 1.0  # Optional
-  api_endpoint: https://api.openai.com/v1  # optional, for custom endpoints
+  api_endpoint: https://api.openai.com/v1  # Required
-  system_prompt: |
+  system_prompt: |  # Optional
     You are a home automation expert assistant.
     Focus on practical and efficient solutions.
 ```
 
+### Sensor Configuration
+
+```yaml
+sensor:
+  - platform: ha_text_ai
+    name: "My AI Assistant"  # Required, unique identifier
+    api_provider: openai  # Optional (inherits from platform)
+    model: "gpt-4o-mini"  # Optional
+    temperature: 0.7  # Optional
+    max_tokens: 1000  # Optional
+```
+
+### 📋 Configuration Parameters
+
+#### Platform Configuration
+
+| Parameter | Type | Required | Default | Description |
+|-----------|------|----------|---------|-------------|
+| `api_provider` | String | ✅ | - | AI service provider (openai, anthropic) |
+| `api_key` | String | ✅ | - | Authentication key for AI service |
+| `model` | String | ⚠️ | Provider default | Strongly recommended: Specific AI model to use. If not specified, the provider's default model will be used |
+| `temperature` | Float | ❌ | 0.7 | Response creativity level (0.0-2.0) |
+| `max_tokens` | Integer | ❌ | 1000 | Maximum response length |
+| `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
+
+| Parameter | Type | Required | Default | Description |
+|-----------|------|----------|---------|-------------|
+| `platform` | String | ✅ | - | Must be `ha_text_ai` |
+| `name` | String | ✅ | - | Unique sensor identifier |
+| `api_provider` | String | ❌ | Platform setting | Override global provider |
+| `model` | String | ⚠️ | Platform setting | Recommended: Override global model. If not specified, uses platform or provider default |
+| `temperature` | Float | ❌ | Platform setting | Override global temperature |
+| `max_tokens` | Integer | ❌ | Platform setting | Override global max tokens |
+
 ## 🛠️ Available Services
 
 ### ask_question
@@ -192,6 +241,157 @@ data:
   filter_model: "gpt-4o"  # optional
 ```
 
+### 🏷️ HA Text AI Sensor Naming Convention
+
+#### Character Restrictions  
+- Only lowercase letters (a-z)  
+- Numbers (0-9)  
+- Underscore (_)  
+- Maximum length: 50 characters (including `ha_text_ai_`)
+
+#### Sensor Name Structure
+```yaml
+# Always starts with 'sensor.ha_text_ai_'
+# You define only the part after the underscore
+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
+```
+
+#### Response Retrieval
+```yaml
+# Use your specific sensor name
+{{ state_attr('sensor.ha_text_ai_gpt', 'response') }}
+```
+
+#### Practical Usage
+```yaml
+automation:
+  - alias: "AI Response with Custom Sensor"
+    action:
+      - service: ha_text_ai.ask_question
+        data:
+          question: "Home automation advice"
+      - service: notify.mobile
+        data:
+          message: >
+            AI Tip:
+            {{ state_attr('sensor.ha_text_ai_gpt', 'response') }}
+```
+
+### 💡 Naming Rules
+- Prefix is always `sensor.ha_text_ai_`
+- Add your unique identifier after the underscore
+- Use lowercase
+- No spaces allowed
+- Keep it descriptive but concise
+
+### 🔍 HA Text AI Sensor Attributes
+
+#### Model and Provider Information
+```yaml
+# Name of the AI model currently in use (e.g., latest version of GPT)  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Model') }}           # gpt-4o  
+
+# Service provider for the AI model (determines API endpoint and authentication)  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Api provider') }}    # openai  
+
+# Previous or alternative model configuration  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Last model') }}      # gpt-4o
+```
+
+#### System Status
+```yaml
+# Current operational readiness of the AI service API  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Api status') }}      # ready  
+
+# Indicates if a request is currently being processed  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Is processing') }}   # false  
+
+# Shows if the API has hit its request rate limit  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Is rate limited') }} # false  
+
+# Status of the specific API endpoint being used  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Endpoint status') }} # ready
+```
+
+#### Performance Metrics
+```yaml
+# Total number of successfully completed API requests  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Successful requests') }}   # 0  
+
+# Number of API requests that encountered errors  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Failed requests') }}       # 0  
+
+# Mean time taken to receive a response from the AI service  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Average latency') }}       # 0  
+
+# Maximum time taken for a single request-response cycle  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Max latency') }}           # 0
+```
+
+#### Conversation and Token Usage
+```yaml
+# Number of previous interactions stored in conversation context  
+{{ state_attr('sensor.ha_text_ai_gpt', 'History size') }}          # 0  
+
+# Total number of tokens used across all interactions  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Total tokens') }}          # 0  
+
+# Tokens used in the input prompts  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Prompt tokens') }}         # 0  
+
+# 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 3 for performance)
+{{ state_attr('sensor.ha_text_ai_gpt', 'conversation_history') }}  # [...]
+
+```
+
+#### Last Interaction Details
+```yaml
+# Most recent complete response generated by the AI service  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Response') }}        # Last AI response  
+
+# The most recently processed user query or prompt  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Question') }}        # Last asked question  
+
+# Precise moment when the last interaction occurred (useful for tracking and logging)  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Last timestamp') }}  # Timestamp
+```
+
+#### System Health
+```yaml
+# Cumulative count of all errors encountered during AI service interactions  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Total errors') }}    # 0  
+
+# Indicates if the AI service is currently undergoing scheduled or emergency maintenance  
+{{ state_attr('sensor.ha_text_ai_gpt', 'Is maintenance') }}  # false  
+
+# Total continuous operational time of the AI service (in hours or days)  
+{{ 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
+- 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
+
+
 ## 📘 FAQ
 
 **Q: Which AI providers are supported?**
@@ -218,6 +418,16 @@ 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).
@@ -228,15 +438,45 @@ 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
+
+The best support is:
+- Sharing feedback
+- Contributing ideas
+- Recommending to friends
+- Reporting issues
+- Star the repository
+
+If you want to say thanks financially, you can send a small token of appreciation in USDT:
+
+**USDT Wallet (TRC10/TRC20):**
+`TXC9zYHYPfWUGi4Sv4R1ctTBGScXXQk5HZ`
+
+*Open-source is built by community passion!* 🚀
 
 ---
 
 <div align="center">
 
-Made with ❤️ for the Home Assistant Community
+Made with ❤️ and Claude 3.5 Sonnet for the Home Assistant Community
 
 [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

@@ -1,4 +1,11 @@
-"""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
@@ -43,6 +50,8 @@ from .const import (
     SERVICE_CLEAR_HISTORY,
     SERVICE_GET_HISTORY,
     SERVICE_SET_SYSTEM_PROMPT,
+    DEFAULT_MAX_HISTORY,
+    CONF_MAX_HISTORY_SIZE,
 )
 
 _LOGGER = logging.getLogger(__name__)
@@ -89,7 +98,7 @@ async def async_setup(hass: HomeAssistant, config: Dict[str, Any]) -> bool:
         source = os.path.join(os.path.dirname(__file__), 'icons', 'icon.svg')
         dest_dir = os.path.join(hass.config.path('www'), 'icons')
         os.makedirs(dest_dir, exist_ok=True)
-        dest = os.path.join(dest_dir, 'icon.svg')
+        dest = os.path.join(dest_dir, 'icon.png')
         if not os.path.exists(dest):
             shutil.copyfile(source, dest)
     except Exception as ex:
@@ -197,11 +206,14 @@ async def async_check_api(session, endpoint: str, headers: dict, provider: str)
 
 async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
     """Set up HA Text AI from a config entry."""
+    _LOGGER.debug(f"Setting up HA Text AI entry: {entry.data}")
+
     try:
         if CONF_API_PROVIDER not in entry.data:
             _LOGGER.error("API provider not specified")
             raise ConfigEntryNotReady("API provider is required")
 
+        # Get configuration
         session = aiohttp_client.async_get_clientsession(hass)
         api_provider = entry.data.get(CONF_API_PROVIDER)
         model = entry.data.get(CONF_MODEL, DEFAULT_MODEL)
@@ -212,6 +224,11 @@ async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
         ).rstrip('/')
         api_key = entry.data[CONF_API_KEY]
         instance_name = entry.data.get(CONF_NAME, entry.entry_id)
+        request_interval = entry.data.get(CONF_REQUEST_INTERVAL, DEFAULT_REQUEST_INTERVAL)
+        max_tokens = entry.data.get(CONF_MAX_TOKENS, DEFAULT_MAX_TOKENS)
+        temperature = entry.data.get(CONF_TEMPERATURE, DEFAULT_TEMPERATURE)
+        max_history_size = entry.data.get(CONF_MAX_HISTORY_SIZE, DEFAULT_MAX_HISTORY)
+        context_messages = entry.data.get(CONF_CONTEXT_MESSAGES, DEFAULT_CONTEXT_MESSAGES)
         is_anthropic = api_provider == API_PROVIDER_ANTHROPIC
 
         headers = {
@@ -242,39 +259,33 @@ async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
             hass=hass,
             client=api_client,
             model=model,
-            update_interval=entry.data.get(CONF_REQUEST_INTERVAL, DEFAULT_REQUEST_INTERVAL),
+            update_interval=request_interval,
             instance_name=instance_name,
-            max_tokens=entry.data.get(CONF_MAX_TOKENS, DEFAULT_MAX_TOKENS),
+            max_tokens=max_tokens,
-            temperature=entry.data.get(CONF_TEMPERATURE, DEFAULT_TEMPERATURE),
+            temperature=temperature,
+            max_history_size=max_history_size,
+            context_messages=context_messages,
             is_anthropic=is_anthropic,
-            context_messages=entry.data.get(
-                CONF_CONTEXT_MESSAGES,
-                DEFAULT_CONTEXT_MESSAGES
-            ),
         )
 
-        coordinator.data = coordinator._initial_state.copy()
+        _LOGGER.debug(f"Created coordinator for {instance_name}")
-        _LOGGER.debug(f"Initial state set for coordinator {instance_name}")
-
-        await coordinator.async_config_entry_first_refresh()
 
+        # Store coordinator
         hass.data.setdefault(DOMAIN, {})
         hass.data[DOMAIN][entry.entry_id] = coordinator
 
+        _LOGGER.debug(f"Stored coordinator in hass.data[{DOMAIN}][{entry.entry_id}]")
+
+        # Set up platforms
         await hass.config_entries.async_forward_entry_setups(entry, PLATFORMS)
 
-        _LOGGER.info(
+        _LOGGER.debug(f"Setup completed for {instance_name}")
-            "Successfully set up %s instance '%s' with model %s",
-            api_provider,
-            instance_name,
-            model
-        )
 
         return True
 
-    except Exception as ex:
+    except Exception as err:
-        _LOGGER.exception("Setup error: %s", str(ex))
+        _LOGGER.exception(f"Error setting up HA Text AI: {err}")
-        raise ConfigEntryNotReady(f"Setup error: {str(ex)}") from ex
+        raise
 
 async def async_unload_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
     """Unload a config entry."""

custom_components/ha_text_ai/api_client.py

@@ -1,4 +1,11 @@
-"""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
@@ -19,6 +26,7 @@ from .const import (
 
 _LOGGER = logging.getLogger(__name__)
 
+
 class APIClient:
     """API Client for OpenAI and Anthropic."""
 
@@ -59,6 +67,7 @@ class APIClient:
         payload: Dict[str, Any],
     ) -> Dict[str, Any]:
         """Make API request with retry logic."""
+        _LOGGER.debug(f"API Request: URL={url}, Payload={payload}")
         for attempt in range(API_RETRY_COUNT):
             try:
                 async with timeout(API_TIMEOUT):
@@ -66,20 +75,23 @@ class APIClient:
                         url,
                         json=payload,
                         headers=self.headers,
-                        timeout=self.timeout
+                        timeout=self.timeout,
                     ) as response:
+                        _LOGGER.debug(f"Response status: {response.status}")
                         if response.status != 200:
                             error_data = await response.json()
+                            _LOGGER.error(f"API error: {error_data}")
                             raise HomeAssistantError(f"API error: {error_data}")
                         return await response.json()
             except asyncio.TimeoutError:
+                _LOGGER.warning(f"Timeout on attempt {attempt + 1}")
                 if attempt == API_RETRY_COUNT - 1:
                     raise HomeAssistantError("API request timed out")
                 await asyncio.sleep(1 * (attempt + 1))
             except Exception as e:
+                _LOGGER.warning(f"API request failed on attempt {attempt + 1}: {str(e)}")
                 if attempt == API_RETRY_COUNT - 1:
                     raise
-                _LOGGER.warning("API request failed, retrying: %s", str(e))
                 await asyncio.sleep(1 * (attempt + 1))
 
     async def create(
@@ -101,6 +113,11 @@ class APIClient:
                 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)}")
@@ -125,16 +142,14 @@ class APIClient:
         return {
             "choices": [
                 {
-                    "message": {
+                    "message": {"content": data["choices"][0]["message"]["content"]},
-                        "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"]
+                "total_tokens": data["usage"]["total_tokens"],
-            }
+            },
         }
 
     async def _create_anthropic_completion(
@@ -147,19 +162,24 @@ class APIClient:
         """Create completion using Anthropic API."""
         url = f"{self.endpoint}/v1/messages"
 
-        # Convert messages to Anthropic format
+        system_prompt = None
-        system_prompt = next(
+        filtered_messages = []
-            (msg["content"] for msg in messages if msg["role"] == "system"),
+        for msg in messages:
-            None
+            if msg['role'] == 'system':
-        )
+                if system_prompt is None:
-        conversation = [msg for msg in messages if msg["role"] != "system"]
+                    system_prompt = msg['content']
+                else:
+                    system_prompt += f" {msg['content']}"
+            else:
+                filtered_messages.append(msg)
 
         payload = {
             "model": model,
-            "messages": conversation,
+            "messages": filtered_messages,
             "max_tokens": max_tokens,
             "temperature": temperature,
         }
+
         if system_prompt:
             payload["system"] = system_prompt
 
@@ -167,14 +187,26 @@ class APIClient:
         return {
             "choices": [
                 {
-                    "message": {
+                    "message": {"content": data["content"][0]["text"]},
-                        "content": data["content"][0]["text"]
-                    }
                 }
             ],
             "usage": {
                 "prompt_tokens": data["usage"]["input_tokens"],
                 "completion_tokens": data["usage"]["output_tokens"],
-                "total_tokens": data["usage"]["input_tokens"] + data["usage"]["output_tokens"]
+                "total_tokens": data["usage"]["input_tokens"] + data["usage"]["output_tokens"],
-            }
+            },
         }
+
+    async def check_connection(self) -> bool:
+        """Check API connection."""
+        try:
+            await self._make_request(self.endpoint, {"test": "connection"})
+            return True
+        except Exception as e:
+            _LOGGER.error(f"Connection check failed: {str(e)}")
+            return False
+
+    async def shutdown(self) -> None:
+        """Shutdown API client."""
+        _LOGGER.debug("Shutting down API client")
+        await self.session.close()

custom_components/ha_text_ai/config_flow.py

@@ -1,4 +1,11 @@
-"""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
 
@@ -34,10 +41,21 @@ from .const import (
     MIN_MAX_TOKENS,
     MAX_MAX_TOKENS,
     MIN_REQUEST_INTERVAL,
+    DEFAULT_NAME_PREFIX,
+    DEFAULT_MAX_HISTORY,
+    CONF_MAX_HISTORY_SIZE,
 )
 
 _LOGGER = logging.getLogger(__name__)
 
+
+def normalize_name(name: str) -> str:
+    """Normalize name to conform to HA naming convention using underscores."""
+    normalized = ''.join(c if c.isalnum() or c == '_' else '_' for c in name)
+    normalized = '_'.join(filter(None, normalized.split('_')))
+    return normalized.lower()
+
+
 class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
     """Handle a config flow for HA text AI."""
 
@@ -69,18 +87,18 @@ class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
 
     async def async_step_provider(self, user_input: Optional[Dict[str, Any]] = None) -> FlowResult:
         """Handle provider configuration step."""
+        self._errors = {}
+
         if user_input is None:
             default_endpoint = (
                 DEFAULT_OPENAI_ENDPOINT if self._provider == API_PROVIDER_OPENAI
                 else DEFAULT_ANTHROPIC_ENDPOINT
             )
 
-            suggested_name = f"HA Text AI {len(self._async_current_entries()) + 1}"
-
             return self.async_show_form(
                 step_id="provider",
                 data_schema=vol.Schema({
-                    vol.Required(CONF_NAME, default=suggested_name): str,
+                    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_API_ENDPOINT, default=default_endpoint): str,
@@ -103,27 +121,86 @@ class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
                         vol.Coerce(int),
                         vol.Range(min=1, max=20)
                     ),
-                }),
+                    vol.Optional(
-                errors=self._errors
+                        CONF_MAX_HISTORY_SIZE,
+                        default=DEFAULT_MAX_HISTORY
+                    ): vol.All(
+                        vol.Coerce(int),
+                        vol.Range(min=1, max=100)
+                    ),
+                })
             )
 
-        instance_name = user_input[CONF_NAME]
+        input_copy = user_input.copy()
-        await self._async_validate_name(instance_name)
-        if self._errors:
-            return await self.async_step_provider()
 
-        if not await self._async_validate_api(user_input):
+        try:
-            return await self.async_step_provider()
+            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_API_KEY, default=input_copy[CONF_API_KEY]): str,
+                    vol.Required(CONF_MODEL, default=input_copy[CONF_MODEL]): str,
+                    vol.Required(CONF_API_ENDPOINT, default=input_copy[CONF_API_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)
+                    ),
+                }),
+                errors={"name": str(e)}
+            )
 
-        return await self._create_entry(user_input)
+        try:
+            if not await self._async_validate_api(input_copy):
+                return self.async_show_form(
+                    step_id="provider",
+                    data_schema=vol.Schema({
+                    }),
+                    errors=self._errors
+                )
+        except Exception as e:
+            return self.async_show_form(
+                step_id="provider",
+                data_schema=vol.Schema({
+                }),
+                errors={"base": str(e)}
+            )
+
+        return await self._create_entry(input_copy)
+
+    def _validate_and_normalize_name(self, name: str) -> str:
+        """
+        Validate and normalize name with detailed error handling.
+
+        Raises:
+            ValueError: If name is invalid
+
+        Returns:
+            Normalized name
+        """
+        if not name:
+            raise ValueError("empty")
+
+        name = name.strip()
+        normalized = ''.join(
+            c if c.isalnum() or c in ' _' else '_'  # Only allow underscores
+            for c in name
+        )
+
+        normalized = normalized.replace(' ', '_').lower()
 
-    async def _async_validate_name(self, name: str) -> bool:
-        """Validate that the name is unique."""
         for entry in self._async_current_entries():
-            if entry.data.get(CONF_NAME) == name:
+            if entry.data.get(CONF_NAME, "") == normalized:
-                self._errors["name"] = "name_exists"
+                raise ValueError("name_exists")
-                return False
+
-        return True
+        normalized = normalized[:50]
+
+        if not normalized:
+            raise ValueError("empty")
+
+        return normalized
 
     async def _async_validate_api(self, user_input: Dict[str, Any]) -> bool:
         """Validate API connection."""
@@ -167,21 +244,36 @@ class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
         }
 
     async def _create_entry(self, user_input: Dict[str, Any]) -> FlowResult:
-        """Create the config entry."""
+        """Create the config entry with comprehensive data preservation."""
         instance_name = user_input[CONF_NAME]
-        unique_id = f"{DOMAIN}_{instance_name}_{self._provider}".lower().replace(" ", "_")
+        normalized_name = normalize_name(instance_name)
+
+        unique_id = f"{DOMAIN}_{normalized_name}_{self._provider}".lower()
+
+        entry_data = {
+            CONF_API_PROVIDER: self._provider,
+            CONF_NAME: instance_name,
+            "normalized_name": normalized_name,
+            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_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),
+            CONF_CONTEXT_MESSAGES: user_input.get(CONF_CONTEXT_MESSAGES, DEFAULT_CONTEXT_MESSAGES),
+            CONF_MAX_HISTORY_SIZE: user_input.get(CONF_MAX_HISTORY_SIZE, DEFAULT_MAX_HISTORY),
+        }
+
+        for key, value in user_input.items():
+            if key not in entry_data:
+                entry_data[key] = value
+
+        _LOGGER.debug(f"Creating config entry with data: {entry_data}")
 
         return self.async_create_entry(
             title=instance_name,
-            data={
+            data=entry_data
-                CONF_API_PROVIDER: self._provider,
-                CONF_NAME: instance_name,
-                **user_input,
-                "unique_id": unique_id,
-                CONF_CONTEXT_MESSAGES: user_input.get(
-                CONF_CONTEXT_MESSAGES,
-                DEFAULT_CONTEXT_MESSAGES)
-        }
         )
 
     @staticmethod
@@ -243,5 +335,15 @@ class OptionsFlowHandler(config_entries.OptionsFlow):
                     vol.Coerce(int),
                     vol.Range(min=1, max=20)
                 ),
+                vol.Optional(
+                    CONF_MAX_HISTORY_SIZE,
+                    default=current_data.get(
+                        CONF_MAX_HISTORY_SIZE,
+                        DEFAULT_MAX_HISTORY
+                    )
+                ): vol.All(
+                    vol.Coerce(int),
+                    vol.Range(min=1, max=100)
+                ),
             })
         )

custom_components/ha_text_ai/const.py

@@ -1,4 +1,11 @@
-"""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
+"""
 from typing import Final
 import voluptuous as vol
 from homeassistant.const import Platform, CONF_API_KEY, CONF_NAME
@@ -6,7 +13,7 @@ from homeassistant.helpers import config_validation as cv
 
 # Domain and platforms
 DOMAIN: Final = "ha_text_ai"
-PLATFORMS: Final = [Platform.SENSOR]
+PLATFORMS: list[str] = ["sensor"]
 
 # Provider configuration
 CONF_API_PROVIDER: Final = "api_provider"
@@ -29,10 +36,13 @@ CONF_MAX_TOKENS: Final = "max_tokens"
 CONF_API_ENDPOINT: Final = "api_endpoint"
 CONF_REQUEST_INTERVAL: Final = "request_interval"
 CONF_INSTANCE: Final = "instance"
-CONF_MAX_HISTORY_SIZE: Final = "max_history_size"
+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_ENTRY_SIZE = 1 * 1024 * 1024
+
 # Default values
 DEFAULT_MODEL: Final = "gpt-4o-mini"
 DEFAULT_TEMPERATURE: Final = 0.1
@@ -41,6 +51,7 @@ DEFAULT_REQUEST_INTERVAL: Final = 1.0
 DEFAULT_TIMEOUT: Final = 30
 DEFAULT_MAX_HISTORY: Final = 50
 DEFAULT_NAME: Final = "HA Text AI"
+DEFAULT_NAME_PREFIX = "ha_text_ai"
 DEFAULT_CONTEXT_MESSAGES: Final = 5
 
 # Parameter constraints
@@ -164,7 +175,7 @@ SERVICE_SCHEMA_GET_HISTORY = vol.Schema({
     vol.Required(CONF_INSTANCE): cv.string,
     vol.Optional("limit", default=10): vol.All(
         vol.Coerce(int),
-        vol.Range(min=1, max=100)
+        vol.Range(min=1, max=100),
     ),
     vol.Optional("filter_model"): cv.string
 })
@@ -189,7 +200,7 @@ CONFIG_SCHEMA = vol.Schema({
             vol.Coerce(float),
             vol.Range(min=MIN_REQUEST_INTERVAL, max=MAX_REQUEST_INTERVAL)
         ),
-        vol.Optional(CONF_MAX_HISTORY_SIZE, default=DEFAULT_MAX_HISTORY): vol.All(
+        vol.Optional(CONF_MAX_HISTORY_SIZE, default=DEFAULT_MAX_HISTORY): vol.All(  # Correct usage
             vol.Coerce(int),
             vol.Range(min=1, max=100),
         ),

custom_components/ha_text_ai/coordinator.py

@@ -1,7 +1,18 @@
-"""The HA Text AI coordinator."""
+"""
+The HA Text AI coordinator.
+
+@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 traceback
+import aiofiles
+import os
+import asyncio
 from datetime import datetime, timedelta
 from typing import Any, Dict, List, Optional
 
@@ -9,7 +20,9 @@ from homeassistant.core import HomeAssistant
 from homeassistant.helpers.update_coordinator import DataUpdateCoordinator
 from homeassistant.util import dt as dt_util
 from homeassistant.exceptions import HomeAssistantError
+from homeassistant.const import CONF_NAME
 
+from .config_flow import normalize_name
 from .const import (
     DOMAIN,
     STATE_READY,
@@ -21,17 +34,35 @@ from .const import (
     DEFAULT_TEMPERATURE,
     DEFAULT_MAX_HISTORY,
     DEFAULT_CONTEXT_MESSAGES,
+    ABSOLUTE_MAX_HISTORY_SIZE,
+    MAX_ENTRY_SIZE,
 )
 
 _LOGGER = logging.getLogger(__name__)
 
+class AsyncFileHandler:
+    """Async context manager for file operations."""
+
+    def __init__(self, file_path: str, mode: str = 'a'):
+        self.file_path = file_path
+        self.mode = mode
+
+    async def __aenter__(self):
+        self.file = await aiofiles.open(self.file_path, self.mode)
+        return self.file
+
+    async def __aexit__(self, exc_type, exc_val, exc_tb):
+        await self.file.close()
+
 class HATextAICoordinator(DataUpdateCoordinator):
+    """Home Assistant Text AI Conversation Coordinator."""
+
     def __init__(
         self,
         hass: HomeAssistant,
         client: Any,
         model: str,
-        update_interval: int,
+        update_interval: int,  # Moved up
         instance_name: str,
         max_tokens: int = DEFAULT_MAX_TOKENS,
         temperature: float = DEFAULT_TEMPERATURE,
@@ -41,48 +72,57 @@ class HATextAICoordinator(DataUpdateCoordinator):
     ) -> None:
         """Initialize coordinator."""
         self.instance_name = instance_name
+        self.normalized_name = None
+
+        # Use the normalize_name function from config_flow to ensure consistency
+        from .config_flow import normalize_name
+
+        self.normalized_name = normalize_name(instance_name)
+
         self.hass = hass
         self.client = client
         self.model = model
         self.temperature = temperature
         self.max_tokens = max_tokens
-        self.max_history_size = max_history_size
+        self.max_history_size = min(
+            max(1, max_history_size),
+            ABSOLUTE_MAX_HISTORY_SIZE
+        )
         self.is_anthropic = is_anthropic
 
-        # Initialize with default state
+        # Initialize essential attributes first
-        self._initial_state = {
+        self._is_processing = False
-            "state": STATE_READY,
+        self._is_rate_limited = False
-            "metrics": {
+        self._is_maintenance = False
-                "total_tokens": 0,
+        self.endpoint_status = "ready"
-                "prompt_tokens": 0,
+        self._system_prompt = None
-                "completion_tokens": 0,
+        self._conversation_history = []
-                "successful_requests": 0,
+
-                "failed_requests": 0,
+        self._performance_metrics = {
-                "total_errors": 0,
+            "total_tokens": 0,
-                "average_latency": 0,
+            "prompt_tokens": 0,
-                "max_latency": 0,
+            "completion_tokens": 0,
-                "min_latency": float('inf'),
+            "successful_requests": 0,
-            },
+            "failed_requests": 0,
-            "last_response": {
+            "total_errors": 0,
-                "timestamp": dt_util.utcnow().isoformat(),
+            "average_latency": 0,
-                "question": "",
+            "max_latency": 0,
-                "response": "",
+            "min_latency": float("inf"),
-                "model": model,
+        }
-                "instance": instance_name,
+
-                "error": None
+        self._last_response = {
-            },
+            "timestamp": dt_util.utcnow().isoformat(),
-            "is_processing": False,
+            "question": "",
-            "is_rate_limited": False,
+            "response": "",
-            "is_maintenance": False,
+            "model": model,
-            "endpoint_status": "ready",
+            "instance": instance_name,
-            "uptime": 0,
+            "normalized_name": self.normalized_name,
-            "system_prompt": None,
+            "error": None,
-            "history_size": 0,
-            "conversation_history": [],
         }
 
         update_interval_td = timedelta(seconds=update_interval)
 
+        # Call super().__init__ BEFORE other property access
         super().__init__(
             hass,
             _LOGGER,
@@ -90,41 +130,300 @@ class HATextAICoordinator(DataUpdateCoordinator):
             update_interval=update_interval_td,
         )
 
+        # Now initialize _initial_state (after super().__init__)
+        self._initial_state = {
+            "state": STATE_READY,
+            "metrics": self._performance_metrics.copy(),
+            "last_response": self.last_response.copy(),  # Accessing here
+            "is_processing": self._is_processing,
+            "is_rate_limited": self._is_rate_limited,
+            "is_maintenance": self._is_maintenance,
+            "endpoint_status": self.endpoint_status,
+            "uptime": 0,
+            "system_prompt": self._system_prompt,
+            "history_size": len(self._conversation_history),
+            "conversation_history": self._conversation_history.copy(),
+        }
+
+        self.available = True
+        self._state = STATE_READY
+        self._conversation_history = []  # Full conversation history
+
+        self._start_time = dt_util.utcnow()
+
+        # Create history directory with safe mechanism
+        self._history_dir = os.path.join(
+            hass.config.path(".storage"),
+            "ha_text_ai_history"
+        )
+        os.makedirs(self._history_dir, exist_ok=True)
+
+        hass.async_create_task(self._check_history_directory())
+
+        # History file path using instance name
+        self._history_file = os.path.join(
+            self._history_dir,
+            f"{self.normalized_name}_history.txt"
+        )
+        # Maximum history file size (10 MB)
+        self._max_history_file_size = 10 * 1024 * 1024
+
+        # Asynchronous file initialization
+        hass.async_create_task(self.async_initialize_history_file())
+
+        _LOGGER.info(f"Initialized HA Text AI coordinator with instance: {instance_name}")
+
         # Register instance
         self.hass.data.setdefault(DOMAIN, {})
         self.hass.data[DOMAIN][instance_name] = self
         self.context_messages = context_messages
 
-        self._system_prompt = None
+    @property
-        self._conversation_history = []
+    def last_response(self) -> Dict[str, Any]:
-        self._performance_metrics = self._initial_state["metrics"].copy()
+        """
-        self._is_processing = False
+        Get the last response with fallback to conversation history.
-        self._is_rate_limited = False
-        self._is_maintenance = False
-        self.endpoint_status = "ready"
-        self.last_response = self._initial_state["last_response"].copy()
-        self._start_time = dt_util.utcnow()
 
-        _LOGGER.info(f"Initialized HA Text AI coordinator with instance: {instance_name}")
+        Returns:
+            Dict containing last response information
+        """
+        if self._last_response:
+            return self._last_response
+
+        if self._conversation_history:
+            latest = self._conversation_history[-1]
+            return {
+                "timestamp": latest.get("timestamp"),
+                "question": latest.get("question", ""),
+                "response": latest.get("response", ""),
+                "model": self.model,
+                "instance": self.instance_name,
+                "normalized_name": self.normalized_name,
+                "error": None
+            }
+
+        return {
+            "timestamp": dt_util.utcnow().isoformat(),
+            "question": "",
+            "response": "",
+            "model": self.model,
+            "instance": self.instance_name,
+            "normalized_name": self.normalized_name,
+            "error": None
+        }
+
+    @last_response.setter
+    def last_response(self, value: Dict[str, Any]) -> None:
+        """
+        Set the last response value.
+
+        Args:
+            value: Dictionary containing response information
+        """
+        self._last_response = value
+
+    async def async_initialize_history_file(self) -> None:
+        """
+        Asynchronously initialize history file.
+
+        Creates the file and writes an initialization timestamp
+        without blocking the event loop.
+        """
+        try:
+            # Use asyncio.to_thread to perform file I/O in a separate thread
+            await asyncio.to_thread(self._sync_initialize_history_file)
+        except Exception as e:
+            _LOGGER.error(f"Could not initialize history file: {e}")
+            _LOGGER.debug(traceback.format_exc())
+
+    def _sync_initialize_history_file(self) -> None:
+        """
+        Synchronous method to create and initialize history file.
+
+        Runs in a separate thread to avoid blocking the event loop.
+        """
+        try:
+            with open(self._history_file, 'a') as f:
+                f.write(f"History initialized at: {dt_util.utcnow().isoformat()}\n")
+        except Exception as e:
+            _LOGGER.error(f"Synchronous history file initialization failed: {e}")
+
+    # Add size check to _update_history method
+    async def _update_history(self, question: str, response: dict) -> None:
+        """Update conversation history with size limits."""
+        try:
+            # Limit entry size
+            question = question[:MAX_ENTRY_SIZE]
+            response_content = response.get("content", "")[:MAX_ENTRY_SIZE]
+
+            history_entry = {
+                "timestamp": dt_util.utcnow().isoformat(),
+                "question": question,
+                "response": response_content,
+            }
+
+            self._conversation_history.append(history_entry)
+
+            # Enforce size limit
+            while len(self._conversation_history) > self.max_history_size:
+                self._conversation_history.pop(0)
+
+            await self._write_history_entry(history_entry)
+
+            await self._rotate_history()
+
+        except Exception as e:
+            _LOGGER.error(f"Error updating history: {e}")
+            _LOGGER.debug(traceback.format_exc())
+
+    # Update _write_history_entry method
+    async def _write_history_entry(self, entry: dict) -> None:
+        """Write a single history entry to file asynchronously."""
+        try:
+            if not os.path.exists(self._history_dir):
+                os.makedirs(self._history_dir, exist_ok=True)
+
+            _LOGGER.debug(f"Writing history entry to {self._history_file}")
+
+            async with AsyncFileHandler(self._history_file) as f:
+                await f.write(
+                    f"{entry['timestamp']}: "
+                    f"Question: {entry['question']} - "
+                    f"Response: {entry['response']}\n"
+                )
+                await f.flush()
+
+            _LOGGER.debug(f"Successfully wrote history entry")
+
+        except Exception as e:
+            _LOGGER.error(f"Error writing history entry: {e}")
+            _LOGGER.debug(traceback.format_exc())
+
+    def _sync_write_history_entry(self, entry: dict) -> None:
+        """
+        Synchronous method to write history entry.
+
+        Runs in a separate thread to avoid blocking the event loop.
+        """
+        try:
+            with open(self._history_file, 'a') as f:
+                f.write(
+                    f"{entry['timestamp']}: "
+                    f"Question: {entry['question']} - "
+                    f"Response: {entry['response']}\n"
+                )
+        except Exception as e:
+            _LOGGER.error(f"Synchronous history entry writing failed: {e}")
+
+    async def _rotate_history(self) -> None:
+        """Rotate conversation history with file management."""
+        try:
+            _LOGGER.debug(f"Starting history rotation for {self._history_file}")
+            await asyncio.to_thread(self._sync_rotate_history)
+            _LOGGER.debug(f"Completed history rotation")
+
+        except Exception as e:
+            _LOGGER.error(f"Error rotating history: {e}")
+            _LOGGER.debug(traceback.format_exc())
+
+    async def _check_history_directory(self) -> None:
+        """
+        Asynchronously check history directory permissions and writability.
+        """
+        try:
+            # Test write permission in a separate thread
+            test_file_path = os.path.join(self._history_dir, ".write_test")
+            await asyncio.to_thread(self._sync_test_directory_write, test_file_path)
+
+        except PermissionError:
+            _LOGGER.error(f"No write permissions for history directory: {self._history_dir}")
+        except Exception as e:
+            _LOGGER.error(f"Error checking history directory: {e}")
+
+    def _sync_test_directory_write(self, test_file_path: str) -> None:
+        """
+        Synchronous method to test directory write permissions.
+        """
+        try:
+            with open(test_file_path, 'w') as f:
+                f.write("Permission test")
+            os.remove(test_file_path)
+        except Exception as e:
+            _LOGGER.error(f"Directory write test failed: {e}")
+
+    def _sync_rotate_history(self) -> None:
+        """
+        Synchronous method to rotate history files.
+
+        Runs in a separate thread to avoid blocking the event loop.
+        """
+        try:
+            # Check and manage file size
+            if os.path.exists(self._history_file):
+                file_size = os.path.getsize(self._history_file)
+                if file_size > self._max_history_file_size:
+                    # Create timestamped archive
+                    archive_file = os.path.join(
+                        self._history_dir,
+                        f"{self.normalized_name}_history_{dt_util.utcnow().strftime('%Y%m%d_%H%M%S')}.txt"
+                    )
+                    os.rename(self._history_file, archive_file)
+
+                    # Optional: Log rotation event
+                    _LOGGER.info(f"History file rotated: {archive_file}")
+
+            # Ensure history doesn't exceed max size
+            if len(self._conversation_history) > self.max_history_size:
+                # Trim in-memory history
+                self._conversation_history = self._conversation_history[-self.max_history_size:]
+
+            # Write history entries
+            with open(self._history_file, 'a') as f:
+                for entry in self._conversation_history:
+                    f.write(
+                        f"{entry['timestamp']}: {entry['question']} - {entry['response']}\n"
+                    )
+
+        except Exception as e:
+            _LOGGER.error(f"Synchronous history rotation failed: {e}")
+            _LOGGER.debug(traceback.format_exc())
 
     async def _async_update_data(self) -> Dict[str, Any]:
         """Update data via library."""
         try:
             current_state = self._get_current_state()
-            _LOGGER.debug(f"Updating data for {self.instance_name}, current state: {current_state}")
+            _LOGGER.debug(
+                f"Updating data for {self.instance_name}, current state: {current_state}"
+            )
+
+            limited_history = []
+            if self._conversation_history:
+                for entry in self._conversation_history[-3:]:
+                    limited_entry = {
+                        "timestamp": entry["timestamp"],
+                        "question": entry["question"][:4096],
+                        "response": entry["response"][:4096],
+                    }
+                    limited_history.append(limited_entry)
+
+            limited_last_response = self.last_response.copy()
+            if "response" in limited_last_response:
+                limited_last_response["response"] = limited_last_response["response"][:4096]
+            if "question" in limited_last_response:
+                limited_last_response["question"] = limited_last_response["question"][:4096]
 
             data = {
                 "state": current_state,
                 "metrics": self._performance_metrics,
-                "last_response": self.last_response,
+                "last_response": limited_last_response,
                 "is_processing": self._is_processing,
                 "is_rate_limited": self._is_rate_limited,
                 "is_maintenance": self._is_maintenance,
                 "endpoint_status": self.endpoint_status,
                 "uptime": (dt_util.utcnow() - self._start_time).total_seconds(),
-                "system_prompt": self._system_prompt,
+                "system_prompt": self._system_prompt[:4096] if self._system_prompt else None,
                 "history_size": len(self._conversation_history),
-                "conversation_history": self._conversation_history,
+                "conversation_history": limited_history,
+                "normalized_name": self.normalized_name,
             }
 
             # Validate data
@@ -141,12 +440,15 @@ class HATextAICoordinator(DataUpdateCoordinator):
     async def async_update_ha_state(self) -> None:
         """Update Home Assistant state."""
         try:
-            _LOGGER.debug(f"Requesting state update for {self.instance_name}")
+            _LOGGER.debug(
+                f"Requesting state update for {self.instance_name} (normalized: {self.normalized_name})"
+            )
             await self.async_request_refresh()
 
             # Force update of all entities
+            entity_id_base = f"sensor.ha_text_ai_{self.normalized_name.lower()}"
             for entity_id in self.hass.states.async_entity_ids():
-                if entity_id.startswith(f"sensor.ha_text_ai_{self.instance_name}"):
+                if entity_id.startswith(entity_id_base):
                     self.hass.states.async_set(entity_id, self._get_current_state())
 
         except Exception as err:
@@ -164,15 +466,67 @@ class HATextAICoordinator(DataUpdateCoordinator):
             return STATE_ERROR
         return STATE_READY
 
-    def _calculate_context_tokens(self, messages: List[Dict[str, str]]) -> int:
+    def _calculate_context_tokens(self, messages: List[Dict[str, str]], model: str = None) -> int:
+        """
+        Estimate tokens for conversation context.
+
+        Args:
+            messages: List of message dictionaries
+            model: Optional model name for provider-specific estimation
+
+        Returns:
+            Estimated number of tokens
+        """
         try:
+            # Anthropic specific token counting
             if self.is_anthropic and hasattr(self.client, 'count_tokens'):
                 return sum(self.client.count_tokens(msg['content']) for msg in messages)
 
-            return sum(len(msg['content']) // 4 for msg in messages)
+            def estimate_tokens(text: str) -> int:
+                """
+                Flexible token estimation algorithm.
+
+                Heuristics:
+                - Count words
+                - Estimate special characters
+                - Fallback to character-based estimation
+                """
+                # Word-based estimation
+                words = len(text.split())
+
+                # Special character handling
+                special_chars = sum(1 for char in text if not char.isalnum())
+
+                # Character-based fallback
+                char_tokens = len(text) // 4
+
+                # Combine estimations with bias towards words
+                total_tokens = (words * 1.5) + (special_chars * 0.5) + char_tokens
+
+                return max(int(total_tokens), words)
+
+            # Calculate total tokens across all messages
+            total_tokens = sum(estimate_tokens(msg['content']) for msg in messages)
+
+            # Logging for debugging
+            _LOGGER.debug(
+                f"Token Estimation: "
+                f"Messages: {len(messages)}, "
+                f"Estimated Tokens: {total_tokens}"
+            )
+
+            return total_tokens
+
         except Exception as e:
-            _LOGGER.warning(f"Error calculating context tokens: {e}")
+            # Safe fallback with detailed logging
-        return 0
+            _LOGGER.warning(
+                f"Token estimation failed. "
+                f"Error: {e}. "
+                f"Using conservative estimation."
+            )
+
+            # Conservative token estimation
+            return len(messages) * 100
 
     async def async_ask_question(
         self,
@@ -183,80 +537,132 @@ class HATextAICoordinator(DataUpdateCoordinator):
         system_prompt: Optional[str] = None,
         context_messages: Optional[int] = None,
     ) -> dict:
-        """Process a question with optional parameters."""
+        """
+        Process a question with optional parameters.
+
+        This method is a direct wrapper around async_process_question,
+        allowing flexible AI interaction with optional model, temperature,
+        and context customization.
+
+        Args:
+            question: The input question or prompt
+            model: Optional AI model to use
+            temperature: Optional response creativity level
+            max_tokens: Optional maximum response length
+            system_prompt: Optional system-level instruction
+            context_messages: Optional number of context messages to include
+
+        Returns:
+            Full response dictionary from the AI
+        """
         return await self.async_process_question(
             question, model, temperature, max_tokens, system_prompt, context_messages
         )
 
     async def async_process_question(
-        self,
+            self,
-        question: str,
+            question: str,
-        model: Optional[str] = None,
+            model: Optional[str] = None,
-        temperature: Optional[float] = None,
+            temperature: Optional[float] = None,
-        max_tokens: Optional[int] = None,
+            max_tokens: Optional[int] = None,
-        system_prompt: Optional[str] = None,
+            system_prompt: Optional[str] = None,
-        context_messages: Optional[int] = None,
+            context_messages: Optional[int] = None,
-    ) -> dict:
+        ) -> dict:
-        temp_context_messages = context_messages or self.context_messages
+            """
+            Enhanced question processing with intelligent token management.
+            """
+            try:
+                self._is_processing = True
+                await self.async_update_ha_state()
 
-        if not question:
+                temp_context_messages = context_messages or self.context_messages
-            raise ValueError("Question cannot be empty")
+                temp_model = model or self.model
+                temp_temperature = temperature or self.temperature
+                temp_max_tokens = max_tokens or self.max_tokens
+                temp_system_prompt = system_prompt or self._system_prompt
 
-        _LOGGER.debug(f"Processing question for instance {self.instance_name}")
+                # Start timing
+                start_time = dt_util.utcnow()
 
-        try:
+                # Prepare messages with system prompt
-            self._is_processing = True
+                messages = []
-            await self.async_update_ha_state()
+                if temp_system_prompt:
-
-            temp_model = model or self.model
-            temp_temperature = temperature or self.temperature
-            temp_max_tokens = max_tokens or self.max_tokens
-            temp_system_prompt = system_prompt or self._system_prompt
-
-            start_time = dt_util.utcnow()
-
-            messages = []
-            if temp_system_prompt:
-                if self.is_anthropic:
-                    system_content = f"\n\nHuman: {temp_system_prompt}\n\nAssistant: I understand and will follow these instructions."
-                    messages.append({"role": "user", "content": system_content})
-                else:
                     messages.append({"role": "system", "content": temp_system_prompt})
 
-            # Add conversation history
+                # Context history management
-            context_history = self._conversation_history[-temp_context_messages:]
+                context_history = self._conversation_history[-temp_context_messages:]
-            for entry in context_history:
-                messages.append({"role": "user", "content": entry["question"]})
-                messages.append({"role": "assistant", "content": entry["response"]})
 
-            messages.append({"role": "user", "content": question})
+                # Comprehensive token calculation
+                context_tokens = self._calculate_context_tokens(
+                    [{"content": entry["question"]} for entry in context_history] +
+                    [{"content": entry["response"]} for entry in context_history] +
+                    [{"content": question}],
+                    temp_model
+                )
 
-            kwargs = {
+                # Dynamic token allocation
-                "model": temp_model,
+                available_tokens = max(0, temp_max_tokens - context_tokens)
-                "temperature": temp_temperature,
-                "max_tokens": temp_max_tokens,
-                "messages": messages,
-            }
 
-            response = await self.async_process_message(question, **kwargs)
+                # Context trimming if over token limit
+                if context_tokens > temp_max_tokens:
+                    _LOGGER.warning(
+                        f"Token limit exceeded. "
+                        f"Context: {context_tokens}, "
+                        f"Max: {temp_max_tokens}"
+                    )
 
-            # Update metrics
+                    # Intelligent context reduction
-            end_time = dt_util.utcnow()
+                    while context_tokens > temp_max_tokens // 2 and context_history:
-            latency = (end_time - start_time).total_seconds()
+                        context_history.pop(0)
-            self._update_metrics(latency, response)
+                        context_tokens = self._calculate_context_tokens(
+                            [{"content": entry["question"]} for entry in context_history] +
+                            [{"content": entry["response"]} for entry in context_history] +
+                            [{"content": question}],
+                            temp_model
+                        )
 
-            # Update history
+                # Rebuild messages with trimmed context
-            self._update_history(question, response)
+                for entry in context_history:
+                    messages.append({"role": "user", "content": entry["question"]})
+                    messages.append({"role": "assistant", "content": entry["response"]})
 
-            return response
+                messages.append({"role": "user", "content": question})
 
-        except Exception as err:
+                # Detailed token logging
-            self._handle_error(err)
+                _LOGGER.debug(
-            raise HomeAssistantError(f"Failed to process question: {err}")
+                    f"Token Analysis: "
+                    f"Context Tokens: {context_tokens}, "
+                    f"Max Tokens: {temp_max_tokens}, "
+                    f"Available Tokens: {available_tokens}"
+                )
 
-        finally:
+                # Prepare API call with dynamic token management
-            self._is_processing = False
+                kwargs = {
-            await self.async_update_ha_state()
+                    "model": temp_model,
+                    "temperature": temp_temperature,
+                    "max_tokens": min(temp_max_tokens, available_tokens),
+                    "messages": messages,
+                }
+
+                # Process message
+                response = await self.async_process_message(question, **kwargs)
+
+                # Update metrics
+                end_time = dt_util.utcnow()
+                latency = (end_time - start_time).total_seconds()
+                self._update_metrics(latency, response)
+
+                await self._update_history(question, response)
+
+                return response
+
+            except Exception as err:
+                self._handle_error(err)
+                raise HomeAssistantError(f"Failed to process question: {err}")
+
+            finally:
+                self._is_processing = False
+                await self.async_update_ha_state()
 
     async def async_process_message(self, question: str, **kwargs) -> dict:
         """Process message using the AI client."""
@@ -272,7 +678,7 @@ class HATextAICoordinator(DataUpdateCoordinator):
                 "response": response["content"],
                 "model": kwargs.get("model", self.model),
                 "instance": self.instance_name,
-                "error": None
+                "error": None,
             }
 
             return response
@@ -283,20 +689,26 @@ class HATextAICoordinator(DataUpdateCoordinator):
 
     async def _process_anthropic_message(self, question: str, **kwargs) -> dict:
         """Process message using Anthropic API."""
-        response = await self.client.messages.create(
+        try:
-            model=kwargs["model"],
+            _LOGGER.debug(f"Anthropic API call: model={kwargs['model']}, max_tokens={kwargs['max_tokens']}")
-            max_tokens=kwargs["max_tokens"],
+            response = await self.client.messages.create(
-            messages=kwargs["messages"],
+                model=kwargs["model"],
-            temperature=kwargs["temperature"],
+                max_tokens=kwargs["max_tokens"],
-        )
+                messages=kwargs["messages"],
-        return {
+                temperature=kwargs["temperature"],
-            "content": response.content[0].text,
+            )
-            "tokens": {
+            _LOGGER.debug(f"Anthropic response: tokens={response.usage}")
-                "prompt": response.usage.input_tokens,
+            return {
-                "completion": response.usage.output_tokens,
+                "content": response.content[0].text,
-                "total": response.usage.input_tokens + response.usage.output_tokens
+                "tokens": {
+                    "prompt": response.usage.input_tokens,
+                    "completion": response.usage.output_tokens,
+                    "total": response.usage.input_tokens + response.usage.output_tokens,
+                },
             }
-        }
+        except Exception as e:
+            _LOGGER.error(f"Anthropic API error: {str(e)}")
+            raise
 
     async def _process_openai_message(self, question: str, **kwargs) -> dict:
         """Process message using OpenAI API."""
@@ -313,8 +725,8 @@ class HATextAICoordinator(DataUpdateCoordinator):
                 "tokens": {
                     "prompt": response["usage"]["prompt_tokens"],
                     "completion": response["usage"]["completion_tokens"],
-                    "total": response["usage"]["total_tokens"]
+                    "total": response["usage"]["total_tokens"],
-                }
+                },
             }
         except Exception as e:
             _LOGGER.error(f"Error in OpenAI API call: {str(e)}")
@@ -337,35 +749,77 @@ class HATextAICoordinator(DataUpdateCoordinator):
         metrics["max_latency"] = max(metrics["max_latency"], latency)
         metrics["min_latency"] = min(metrics["min_latency"], latency)
 
-    def _update_history(self, question: str, response: dict) -> None:
-        """Update conversation history."""
-        self._conversation_history.append({
-            "timestamp": dt_util.utcnow().isoformat(),
-            "question": question,
-            "response": response["content"]
-        })
-
-        while len(self._conversation_history) > self.max_history_size:
-            self._conversation_history.pop(0)
-
     def _handle_error(self, error: Exception) -> None:
-        """Handle error and update metrics."""
+        """
+        Enhanced error handling with comprehensive diagnostics.
+
+        Captures detailed error information, tracks error metrics,
+        and provides context for troubleshooting AI processing issues.
+        """
         self._performance_metrics["total_errors"] += 1
         self._performance_metrics["failed_requests"] += 1
 
-        self.last_response = {
+        error_details = {
             "timestamp": dt_util.utcnow().isoformat(),
-            "question": "",
-            "response": "",
             "model": self.model,
             "instance": self.instance_name,
-            "error": str(error)
+            "error_message": str(error),
+            "error_type": type(error).__name__,
+            "traceback": traceback.format_exc() if _LOGGER.isEnabledFor(logging.DEBUG) else None,
         }
 
+        # Specific error type handling
+        error_mapping = {
+            HomeAssistantError: {"is_ha_error": True},
+            ConnectionError: {
+                "is_connection_error": True,
+                "is_rate_limited": True
+            },
+            TimeoutError: {"is_timeout": True},
+            PermissionError: {"is_permission_denied": True},
+            ValueError: {"is_validation_error": True}
+        }
+
+        for error_type, error_flags in error_mapping.items():
+            if isinstance(error, error_type):
+                error_details.update(error_flags)
+                break
+
+        # Update system state based on error type
+        if error_details.get("is_rate_limited"):
+            self._is_rate_limited = True
+            _LOGGER.warning(f"Rate limit detected for {self.instance_name}")
+
+        if error_details.get("is_connection_error"):
+            self.endpoint_status = "unavailable"
+
+        self.last_response = error_details
+        _LOGGER.error(f"AI Processing Error: {error_details}")
+
+        # Optional: Add more sophisticated error tracking or notification logic
+        if _LOGGER.isEnabledFor(logging.DEBUG):
+            _LOGGER.debug(f"Full Error Traceback: {error_details['traceback']}")
+
     async def async_clear_history(self) -> None:
-        """Clear conversation history."""
+        """
-        self._conversation_history = []
+        Asynchronously clear conversation history.
-        await self.async_update_ha_state()
+
+        Removes in-memory history and deletes history file.
+        """
+        try:
+            # Clear in-memory history
+            self._conversation_history = []
+
+            # Safely remove history file
+            if os.path.exists(self._history_file):
+                await asyncio.to_thread(os.remove, self._history_file)
+
+            await self.async_update_ha_state()
+            _LOGGER.info(f"History for {self.instance_name} cleared successfully")
+
+        except Exception as e:
+            _LOGGER.error(f"Error clearing history: {e}")
+            _LOGGER.debug(traceback.format_exc())
 
     async def async_get_history(self) -> List[Dict[str, str]]:
         """Get conversation history."""
@@ -375,3 +829,8 @@ class HATextAICoordinator(DataUpdateCoordinator):
         """Set system prompt."""
         self._system_prompt = prompt
         await self.async_update_ha_state()
+
+    async def async_shutdown(self) -> None:
+        """Shutdown coordinator."""
+        _LOGGER.debug(f"Shutting down coordinator for {self.instance_name}")
+        self.hass.data[DOMAIN].pop(self.instance_name, None)

custom_components/ha_text_ai/manifest.json

@@ -23,6 +23,6 @@
   "single_config_entry": false,
   "ssdp": [],
   "usb": [],
-  "version": "2.0.0",
+  "version": "2.0.5-beta",
   "zeroconf": []
 }

custom_components/ha_text_ai/sensor.py

@@ -1,4 +1,11 @@
-"""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
@@ -58,25 +65,39 @@ from .const import (
     ENTITY_ICON,
     ENTITY_ICON_ERROR,
     ENTITY_ICON_PROCESSING,
+    DEFAULT_NAME_PREFIX,
+    CONF_MAX_HISTORY_SIZE,
 )
 
 from .coordinator import HATextAICoordinator
 
 _LOGGER = logging.getLogger(__name__)
 
+
 async def async_setup_entry(
     hass: HomeAssistant,
     entry: ConfigEntry,
     async_add_entities: AddEntitiesCallback,
 ) -> None:
     """Set up the HA Text AI sensor."""
-    coordinator = hass.data[DOMAIN][entry.entry_id]
+    _LOGGER.debug(f"Starting sensor setup for entry: {entry.entry_id}")
-    instance_name = coordinator.instance_name
 
-    _LOGGER.debug(f"Setting up sensor with instance: {instance_name}")
+    try:
+        coordinator = hass.data[DOMAIN][entry.entry_id]
+        _LOGGER.debug(f"Found coordinator for entry {entry.entry_id}")
 
-    sensor = HATextAISensor(coordinator, entry)
+        instance_name = coordinator.instance_name
-    async_add_entities([sensor], True)
+        _LOGGER.debug(f"Setting up sensor with instance: {instance_name}")
+
+        sensor = HATextAISensor(coordinator, entry)
+        _LOGGER.debug(f"Created sensor instance: {sensor.entity_id}")
+
+        async_add_entities([sensor], True)
+        _LOGGER.debug(f"Added sensor entity: {sensor.entity_id}")
+
+    except Exception as err:
+        _LOGGER.exception(f"Error setting up sensor: {err}")
+        raise
 
 class HATextAISensor(CoordinatorEntity, SensorEntity):
     """HA Text AI Sensor."""
@@ -89,19 +110,30 @@ class HATextAISensor(CoordinatorEntity, SensorEntity):
         config_entry: ConfigEntry,
     ) -> None:
         """Initialize the sensor."""
+        _LOGGER.debug(f"Initializing sensor with config entry: {config_entry.data}")
+
         super().__init__(coordinator)
 
         self._config_entry = config_entry
         self._instance_name = coordinator.instance_name
+        self._normalized_name = coordinator.normalized_name
+
+        _LOGGER.debug(f"Instance name: {self._instance_name}")
+        _LOGGER.debug(f"Normalized name: {self._normalized_name}")
+
         self._conversation_history = []
         self._system_prompt = None
 
         self._attr_name = f"HA Text AI {self._instance_name}"
-        self.entity_id = f"sensor.ha_text_ai_{slugify(self._instance_name)}"
+        self.entity_id = f"sensor.ha_text_ai_{self._normalized_name}"
         self._attr_unique_id = f"{config_entry.entry_id}"
 
+        _LOGGER.debug(f"Created sensor with entity_id: {self.entity_id}")
+        _LOGGER.debug(f"Sensor name: {self._attr_name}")
+        _LOGGER.debug(f"Unique ID: {self._attr_unique_id}")
+
         self.entity_description = SensorEntityDescription(
-            key=f"ha_text_ai_{self._instance_name}",
+            key=f"ha_text_ai_{self._normalized_name.lower()}",
             entity_registry_enabled_default=True,
         )
 
@@ -118,13 +150,15 @@ class HATextAISensor(CoordinatorEntity, SensorEntity):
 
         self._attr_device_info = DeviceInfo(
             identifiers={(DOMAIN, self._attr_unique_id)},
-            name=self._attr_name,  # Используем имя сенсора
+            name=self._attr_name,
             manufacturer="Community",
             model=f"{model} ({api_provider} provider)",
             sw_version="1.0.0",
         )
 
-        _LOGGER.debug(f"Initialized sensor: {self.entity_id} for instance: {self._instance_name}")
+        _LOGGER.debug(
+            f"Initialized sensor: {self.entity_id} for instance: {self._instance_name}"
+        )
 
     @property
     def available(self) -> bool:
@@ -180,11 +214,14 @@ class HATextAISensor(CoordinatorEntity, SensorEntity):
             data = self.coordinator.data
             attributes = {
                 ATTR_MODEL: self._config_entry.data.get(CONF_MODEL, "Unknown"),
-                ATTR_API_PROVIDER: self._config_entry.data.get(CONF_API_PROVIDER, "Unknown"),
+                ATTR_API_PROVIDER: self._config_entry.data.get(
+                    CONF_API_PROVIDER, "Unknown"
+                ),
                 ATTR_API_STATUS: self._current_state,
                 ATTR_TOTAL_ERRORS: self._error_count,
                 ATTR_LAST_ERROR: self._last_error,
                 "instance_name": self._instance_name,
+                "normalized_name": self._normalized_name,
                 ATTR_SYSTEM_PROMPT: data.get("system_prompt"),
                 ATTR_IS_PROCESSING: data.get("is_processing", False),
                 ATTR_IS_RATE_LIMITED: data.get("is_rate_limited", False),
@@ -199,32 +236,40 @@ class HATextAISensor(CoordinatorEntity, SensorEntity):
             metrics = data.get("metrics", {})
             if isinstance(metrics, dict):
                 self._metrics = metrics
-                attributes.update({
+                attributes.update(
-                    METRIC_TOTAL_TOKENS: metrics.get("total_tokens", 0),
+                    {
-                    METRIC_PROMPT_TOKENS: metrics.get("prompt_tokens", 0),
+                        METRIC_TOTAL_TOKENS: metrics.get("total_tokens", 0),
-                    METRIC_COMPLETION_TOKENS: metrics.get("completion_tokens", 0),
+                        METRIC_PROMPT_TOKENS: metrics.get("prompt_tokens", 0),
-                    METRIC_SUCCESSFUL_REQUESTS: metrics.get("successful_requests", 0),
+                        METRIC_COMPLETION_TOKENS: metrics.get("completion_tokens", 0),
-                    METRIC_FAILED_REQUESTS: metrics.get("failed_requests", 0),
+                        METRIC_SUCCESSFUL_REQUESTS: metrics.get(
-                    METRIC_AVERAGE_LATENCY: metrics.get("average_latency", 0),
+                            "successful_requests", 0
-                    METRIC_MAX_LATENCY: metrics.get("max_latency", 0),
+                        ),
-                    METRIC_MIN_LATENCY: metrics.get("min_latency", float("inf")),
+                        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")),
+                    }
+                )
 
             # Add last response
             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", ""),
+                    {
-                    ATTR_QUESTION: last_response.get("question", ""),
+                        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"),
+                        "last_timestamp": last_response.get("timestamp", ""),
-                })
+                        "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]
+                attributes[ATTR_PERFORMANCE_METRICS] = data[
+                    ATTR_PERFORMANCE_METRICS
+                ]
 
             # Add API version if available
             if ATTR_API_VERSION in data:
@@ -288,7 +333,7 @@ class HATextAISensor(CoordinatorEntity, SensorEntity):
                 "Error handling update for %s: %s",
                 self.entity_id,
                 err,
-                exc_info=True
+                exc_info=True,
             )
 
         self.async_write_ha_state()

custom_components/ha_text_ai/services.yaml

@@ -40,15 +40,14 @@ ask_question:
           min: 1
           max: 20
           step: 1
-          mode: box
+          mode: slider
 
     model:
       name: Model
       description: "Select AI model to use (optional, overrides default setting)"
       required: false
-      selector:  
+      selector:
-        text:
+        text: {}
-          multiline: false
 
     temperature:
       name: Temperature
@@ -73,3 +72,98 @@ ask_question:
           max: 4096
           step: 1
           mode: box
+
+clear_history:
+  name: Clear History
+  description: >-
+    Delete all stored questions and responses from the conversation history
+  fields:
+    instance:
+      name: Instance
+      description: Name of the HA Text AI instance to clear history for
+      required: true
+      selector:
+        entity:
+          integration: ha_text_ai
+          domain: sensor
+
+get_history:
+  name: Get History
+  description: Retrieve conversation history with optional filtering and sorting
+  fields:
+    instance:
+      name: Instance
+      description: Name of the HA Text AI instance to get history from
+      required: true
+      selector:
+        entity:
+          integration: ha_text_ai
+          domain: sensor
+
+    limit:
+      name: Limit
+      description: Number of conversations to return (1-100)
+      required: false
+      default: 10
+      selector:
+        number:
+          min: 1
+          max: 100
+          step: 1
+          mode: box
+
+    filter_model:
+      name: Filter Model
+      description: Filter conversations by specific AI model
+      required: false
+      selector:
+        text:
+          multiline: false
+
+    start_date:
+      name: Start Date
+      description: Filter conversations starting from this date/time
+      required: false
+      selector:
+        text:
+          multiline: false
+
+    include_metadata:
+      name: Include Metadata
+      description: Include additional information like tokens used, response time, etc.
+      required: false
+      default: false
+      selector:
+        boolean:
+
+    sort_order:
+      name: Sort Order
+      description: Sort order for results (newest or oldest first)
+      required: false
+      default: newest
+      selector:
+        select:
+          options:
+            - newest
+            - oldest
+
+set_system_prompt:
+  name: Set System Prompt
+  description: Set default system behavior instructions for all future conversations
+  fields:
+    instance:
+      name: Instance
+      description: Name of the HA Text AI instance to set system prompt for
+      required: true
+      selector:
+        entity:
+          integration: ha_text_ai
+          domain: sensor
+
+    prompt:
+      name: System Prompt
+      description: Instructions that define how the AI should behave and respond
+      required: true
+      selector:
+        text:
+          multiline: true

custom_components/ha_text_ai/translations/de.json

@@ -1,261 +1,296 @@
 {
-    "config": {
+  "config": {
-        "step": {
+    "step": {
-            "provider": {
+      "provider": {
-                "title": "KI-Anbieter auswählen",
+        "title": "Wählen Sie AI-Anbieter",
-                "description": "Wählen Sie den KI-Dienst-Anbieter für diese Instanz",
+        "description": "Wählen Sie, welchen AI-Dienstanbieter Sie für diese Instanz verwenden möchten.",
-                "data": {
+        "data": {
-                    "api_provider": "API-Anbieter",
+          "api_provider": "API-Anbieter",
-                    "context_messages": "Anzahl der zu speichernden Kontextnachrichten (1-20)"
+          "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",
-                "description": "Richten Sie eine neue KI-Assistenten-Instanz mit Ihrem ausgewählten Anbieter ein",
-                "data": {
-                    "name": "Instanzname (z.B. 'GPT Assistent', 'Claude Helfer')",
-                    "api_key": "API-Schlüssel für Authentifizierung",
-                    "model": "Zu verwendendes KI-Modell",
-                    "temperature": "Antwort-Kreativität (0-2, niedriger = fokussierter)",
-                    "max_tokens": "Maximale Antwortlänge (1-4096 Token)",
-                    "api_endpoint": "Benutzerdefinierte API-Endpunkt-URL (optional)",
-                    "request_interval": "Minimale Zeit zwischen Anfragen (0,1-60 Sekunden)",
-                    "context_messages": "Anzahl der zu speichernden Kontextnachrichten (1-20)"
-                }
-            }
-        },
-        "error": {
-            "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 - bitte überprüfen Sie Ihre Anmeldedaten",
-            "cannot_connect": "Verbindung zum API-Dienst fehlgeschlagen",
-            "invalid_model": "Ausgewähltes Modell ist nicht verfügbar",
-            "rate_limit": "Anfragelimit überschritten",
-            "context_length": "Kontextlänge überschritten",
-            "rate_limit_exceeded": "API-Anfragelimit überschritten",
-            "maintenance": "Dienst ist in Wartung",
-            "invalid_response": "Ungültige API-Antwort erhalten",
-            "api_error": "API-Dienst-Fehler aufgetreten",
-            "timeout": "Anfrage-Zeitüberschreitung",
-            "invalid_instance": "Ungültige Instanz angegeben",
-            "unknown": "Unerwarteter Fehler aufgetreten"
         }
+      },
+      "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 (1-4096 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",
+        "description": "Richten Sie eine neue AI-Assistenteninstanz mit Ihrem ausgewählten Anbieter ein.",
+        "data": {
+          "name": "Instanzname (z. B. 'GPT Assistant', 'Claude Helper')",
+          "api_key": "API-Schlüssel zur Authentifizierung",
+          "model": "Zu verwendendes AI-Modell",
+          "temperature": "Kreativität der Antwort (0-2, niedriger = fokussierter)",
+          "max_tokens": "Maximale Länge der Antwort (1-4096 Token)",
+          "api_endpoint": "Benutzerdefinierte API-Endpunkt-URL (optional)",
+          "api_provider": "API-Anbieter",
+          "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)"
+        }
+      }
     },
-    "options": {
+    "error": {
-        "step": {
+      "history_storage_error": "Fehler beim Initialisieren des Verlaufspeichers. Überprüfen Sie die Berechtigungen.",
-            "init": {
+      "history_rotation_error": "Fehler beim Drehen der Verlaufsdatei.",
-                "title": "Instanzeinstellungen aktualisieren",
+      "history_file_access_error": "Zugriff auf das Verzeichnis für den Verlaufsspeicher nicht möglich.",
-                "description": "Einstellungen für diese KI-Assistenten-Instanz ändern",
+      "name_exists": "Eine Instanz mit diesem Namen existiert bereits",
-                "data": {
+      "invalid_name": "Ungültiger Instanzname",
-                    "model": "KI-Modell",
+      "invalid_auth": "Authentifizierung fehlgeschlagen - überprüfen Sie Ihren API-Schlüssel",
-                    "temperature": "Antwort-Kreativität (0-2)",
+      "invalid_api_key": "Ungültiger API-Schlüssel - bitte überprüfen Sie Ihre Anmeldeinformationen",
-                    "max_tokens": "Maximale Antwortlänge (1-4096)",
+      "cannot_connect": "Verbindung zum API-Dienst fehlgeschlagen",
-                    "request_interval": "Minimales Anfragen-Intervall (0,1-60 Sekunden)",
+      "invalid_model": "Ausgewähltes Modell ist nicht verfügbar",
-                    "context_messages": "Anzahl der vorherigen Nachrichten, die in den Kontext einbezogen werden sollen (1-20)"
+      "rate_limit": "Rate-Limit überschritten",
-
+      "context_length": "Kontextlänge überschritten",
-                }
+      "rate_limit_exceeded": "API-Rate-Limit überschritten",
-            }
+      "maintenance": "Dienst ist in Wartung",
-        }
+      "invalid_response": "Ungültige API-Antwort erhalten",
+      "api_error": "Ein Fehler im API-Dienst ist aufgetreten",
+      "timeout": "Zeitüberschreitung bei der Anfrage",
+      "invalid_instance": "Ungültige Instanz angegeben",
+      "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 höchstens 50 Zeichen lang sein"
     },
-    "services": {
+    "abort": {
-        "ask_question": {
+      "already_configured": "Instanz bereits konfiguriert"
-            "name": "Frage stellen (HA Text AI)",
-            "description": "Senden Sie eine Frage an das KI-Modell und erhalten Sie eine detaillierte Antwort. Die Antwort wird in der Gesprächshistorie gespeichert und kann später abgerufen werden.",
-            "fields": {
-                "instance": {
-                    "name": "Instanz",
-                    "description": "Name der zu verwendenden HA Text AI Instanz"
-                },
-                "question": {
-                    "name": "Frage",
-                    "description": "Ihre Frage oder Eingabeaufforderung für den KI-Assistenten"
-                },
-                "context_messages": {
-                    "name": "Kontextnachrichten",
-                    "description": "Anzahl der vorherigen Nachrichten, die in den Kontext einbezogen werden sollen (1-20)"
-                },
-                "system_prompt": {
-                    "name": "Systemaufforderung",
-                    "description": "Optionale Systemaufforderung zur Kontexteinstellung für diese spezifische Frage"
-                },
-                "model": {
-                    "name": "Modell",
-                    "description": "Wählen Sie das zu verwendende KI-Modell (optional, überschreibt Standardeinstellung)"
-                },
-                "temperature": {
-                    "name": "Temperatur",
-                    "description": "Steuert die Antwort-Kreativität (0,0-2,0)"
-                },
-                "max_tokens": {
-                    "name": "Max. Token",
-                    "description": "Maximale Länge der Antwort (1-4096 Token)"
-                }
-            }
-        },
-        "clear_history": {
-            "name": "Verlauf löschen",
-            "description": "Alle gespeicherten Fragen und Antworten aus dem Gesprächsverlauf löschen",
-            "fields": {
-                "instance": {
-                    "name": "Instanz",
-                    "description": "Name der HA Text AI Instanz, für die der Verlauf gelöscht werden soll"
-                }
-            }
-        },
-        "get_history": {
-            "name": "Verlauf abrufen",
-            "description": "Gesprächsverlauf mit optionaler Filterung und Sortierung abrufen",
-            "fields": {
-                "instance": {
-                    "name": "Instanz",
-                    "description": "Name der HA Text AI Instanz, aus der der Verlauf abgerufen werden soll"
-                },
-                "limit": {
-                    "name": "Limit",
-                    "description": "Anzahl der zurückzugebenden Gespräche (1-100)"
-                },
-                "filter_model": {
-                    "name": "Modell filtern",
-                    "description": "Gespräche nach bestimmtem KI-Modell filtern"
-                },
-                "start_date": {
-                    "name": "Startdatum",
-                    "description": "Gespräche ab diesem Datum/Zeitpunkt filtern"
-                },
-                "include_metadata": {
-                    "name": "Metadaten einbeziehen",
-                    "description": "Zusätzliche Informationen wie verwendete Token, Antwortzeit usw. einbeziehen"
-                },
-                "sort_order": {
-                    "name": "Sortierreihenfolge",
-                    "description": "Sortierreihenfolge der Ergebnisse (neueste oder älteste zuerst)"
-                }
-            }
-        },
-        "set_system_prompt": {
-            "name": "Systemaufforderung festlegen",
-            "description": "Standardmäßige Systemverhaltensinstruktionen für alle zukünftigen Gespräche festlegen",
-            "fields": {
-                "instance": {
-                    "name": "Instanz",
-                    "description": "Name der HA Text AI Instanz, für die die Systemaufforderung festgelegt werden soll"
-                },
-                "prompt": {
-                    "name": "Systemaufforderung",
-                    "description": "Anweisungen, die definieren, wie sich die KI verhalten und antworten soll"
-                }
-            }
-        }
-    },
-    "entity": {
-        "sensor": {
-            "ha_text_ai": {
-                "name": "{name}",
-                "state": {
-                    "ready": "Bereit",
-                    "processing": "Verarbeitung",
-                    "error": "Fehler",
-                    "disconnected": "Getrennt",
-                    "rate_limited": "Anfragelimit",
-                    "maintenance": "Wartung",
-                    "initializing": "Initialisierung",
-                    "retrying": "Wiederholung",
-                    "queued": "In Warteschlange"
-                },
-                "state_attributes": {
-                    "question": {
-                        "name": "Letzte Frage"
-                    },
-                    "response": {
-                        "name": "Letzte Antwort"
-                    },
-                    "model": {
-                        "name": "Aktuelles Modell"
-                    },
-                    "temperature": {
-                        "name": "Temperatur"
-                    },
-                    "max_tokens": {
-                        "name": "Max. Token"
-                    },
-                    "system_prompt": {
-                        "name": "Systemaufforderung"
-                    },
-                    "response_time": {
-                        "name": "Letzte Antwortzeit"
-                    },
-                    "total_responses": {
-                        "name": "Gesamte Antworten"
-                    },
-                    "error_count": {
-                        "name": "Fehleranzahl"
-                    },
-                    "last_error": {
-                        "name": "Letzter Fehler"
-                    },
-                    "api_status": {
-                        "name": "API-Status"
-                    },
-                    "tokens_used": {
-                        "name": "Insgesamt verwendete Token"
-                    },
-                    "average_response_time": {
-                        "name": "Durchschnittliche Antwortzeit"
-                    },
-                    "last_request_time": {
-                        "name": "Letzte Anforderungszeit"
-                    },
-                    "is_processing": {
-                        "name": "Verarbeitungsstatus"
-                    },
-                    "is_rate_limited": {
-                        "name": "Status Anfragelimit"
-                    },
-                    "is_maintenance": {
-                        "name": "Wartungsstatus"
-                    },
-                    "api_version": {
-                        "name": "API-Version"
-                    },
-                    "endpoint_status": {
-                        "name": "Endpunktstatus"
-                    },
-                    "performance_metrics": {
-                        "name": "Leistungsmetriken"
-                    },
-                    "history_size": {
-                        "name": "Verlaufsgröße"
-                    },
-                    "uptime": {
-                        "name": "Betriebszeit"
-                    },
-                    "total_tokens": {
-                        "name": "Gesamte Token"
-                    },
-                    "prompt_tokens": {
-                        "name": "Prompt-Token"
-                    },
-                    "completion_tokens": {
-                        "name": "Abschluss-Token"
-                    },
-                    "successful_requests": {
-                        "name": "Erfolgreiche Anfragen"
-                    },
-                    "failed_requests": {
-                        "name": "Fehlgeschlagene Anfragen"
-                    },
-                    "average_latency": {
-                        "name": "Durchschnittliche Latenz"
-                    },
-                    "max_latency": {
-                        "name": "Maximale Latenz"
-                    },
-                    "min_latency": {
-                        "name": "Minimale Latenz"
-                    }
-                }
-            }
-        }
     }
+  },
+  "options": {
+    "step": {
+      "init": {
+        "title": "Instanzeinstellungen aktualisieren",
+        "description": "Ändern Sie die Einstellungen für diese AI-Assistenteninstanz.",
+        "data": {
+          "model": "AI-Modell",
+          "temperature": "Kreativität der Antwort (0-2)",
+          "max_tokens": "Maximale Länge der Antwort (1-4096)",
+          "request_interval": "Minimale Anfrageintervall (0,1-60 Sekunden)",
+          "context_messages": "Anzahl der vorherigen Nachrichten, die im Kontext enthalten sein sollen (1-20)",
+          "max_history_size": "Maximale Größe des Gesprächsverlaufs (1-100)"
+        }
+      }
+    }
+  },
+  "selector": {
+    "api_provider": {
+      "options": {
+        "openai": "OpenAI (kompatibel)",
+        "anthropic": "Anthropic (kompatibel)"
+      }
+    }
+  },
+  "services": {
+    "ask_question": {
+      "name": "Frage stellen (HA Text AI)",
+      "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",
+          "description": "Name der zu verwendenden HA Text AI-Instanz"
+        },
+        "question": {
+          "name": "Frage",
+          "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": "Systemaufforderung",
+          "description": "Optionale Systemaufforderung zur Festlegung des Kontexts für diese spezifische Frage"
+        },
+        "model": {
+          "name": "Modell",
+          "description": "Wählen Sie das zu verwendende AI-Modell (optional, überschreibt die Standardeinstellung)"
+        },
+        "temperature": {
+          "name": "Temperatur",
+          "description": "Steuert die Kreativität der Antwort (0,0-2,0)"
+        },
+        "max_tokens": {
+          "name": "Max Tokens",
+          "description": "Maximale Länge der Antwort (1-4096 Token)"
+        }
+      }
+    },
+    "clear_history": {
+      "name": "Verlauf löschen",
+      "description": "Löschen Sie alle gespeicherten Fragen und Antworten aus dem Gesprächsverlauf",
+      "fields": {
+        "instance": {
+          "name": "Instanz",
+          "description": "Name der HA Text AI-Instanz, für die der Verlauf gelöscht werden soll"
+        }
+      }
+    },
+    "get_history": {
+      "name": "Verlauf abrufen",
+      "description": "Rufen Sie den Gesprächsverlauf mit optionaler Filterung und Sortierung ab",
+      "fields": {
+        "instance": {
+          "name": "Instanz",
+          "description": "Name der HA Text AI-Instanz, von der der Verlauf abgerufen werden soll"
+        },
+        "limit": {
+          "name": "Limit",
+          "description": "Anzahl der zurückzugebenden Gespräche (1-100)"
+        },
+        "filter_model": {
+          "name": "Modell filtern",
+          "description": "Gespräche nach spezifischem AI-Modell filtern"
+        },
+        "start_date": {
+          "name": "Startdatum",
+          "description": "Gespräche ab diesem Datum/Zeit filtern"
+        },
+        "include_metadata": {
+          "name": "Metadaten einbeziehen",
+          "description": "Zusätzliche Informationen wie verwendete Tokens, Antwortzeit usw. einbeziehen"
+        },
+        "sort_order": {
+          "name": "Sortierreihenfolge",
+          "description": "Sortierreihenfolge für die Ergebnisse (neueste oder älteste zuerst)"
+        }
+      }
+    },
+    "set_system_prompt": {
+      "name": "Systemaufforderung festlegen",
+      "description": "Standardverhaltensanweisungen für alle zukünftigen Gespräche festlegen",
+      "fields": {
+        "instance": {
+          "name": "Instanz",
+          "description": "Name der HA Text AI-Instanz, für die die Systemaufforderung festgelegt werden soll"
+        },
+        "prompt": {
+          "name": "Systemaufforderung",
+          "description": "Anweisungen, die definieren, wie die AI sich verhalten und antworten soll"
+        }
+      }
+    }
+  },
+  "entity": {
+    "sensor": {
+      "ha_text_ai": {
+        "name": "{name}",
+        "state": {
+          "ready": "Bereit",
+          "processing": "Verarbeitung",
+          "error": "Fehler",
+          "disconnected": "Getrennt",
+          "rate_limited": "Rate limitiert",
+          "maintenance": "Wartung",
+          "initializing": "Initialisierung",
+          "retrying": "Wiederholen",
+          "queued": "In der Warteschlange"
+        },
+        "state_attributes": {
+          "question": {
+            "name": "Letzte Frage"
+          },
+          "response": {
+            "name": "Letzte Antwort"
+          },
+          "model": {
+            "name": "Aktuelles Modell"
+          },
+          "temperature": {
+            "name": "Temperatur"
+          },
+          "max_tokens": {
+            "name": "Max Tokens"
+          },
+          "system_prompt": {
+            "name": "Systemaufforderung"
+          },
+          "response_time": {
+            "name": "Letzte Antwortzeit"
+          },
+          "total_responses": {
+            "name": "Gesamtantworten"
+          },
+          "error_count": {
+            "name": "Fehleranzahl"
+          },
+          "last_error": {
+            "name": "Letzter Fehler"
+          },
+          "api_status": {
+            "name": "API-Status"
+          },
+          "tokens_used": {
+            "name": "Gesamte verwendete Tokens"
+          },
+          "average_response_time": {
+            "name": "Durchschnittliche Antwortzeit"
+          },
+          "last_request_time": {
+            "name": "Letzte Anfragezeit"
+          },
+          "is_processing": {
+            "name": "Verarbeitungsstatus"
+          },
+          "is_rate_limited": {
+            "name": "Rate-limitiert Status"
+          },
+          "is_maintenance": {
+            "name": "Wartungsstatus"
+          },
+          "api_version": {
+            "name": "API-Version"
+          },
+          "endpoint_status": {
+            "name": "Endpunktstatus"
+          },
+          "performance_metrics": {
+            "name": "Leistungskennzahlen"
+          },
+          "history_size": {
+            "name": "Größe des Verlaufs"
+          },
+          "uptime": {
+            "name": "Betriebszeit"
+          },
+          "total_tokens": {
+            "name": "Gesamte Tokens"
+          },
+          "prompt_tokens": {
+            "name": "Eingabe Tokens"
+          },
+          "completion_tokens": {
+            "name": "Vervollständigungs Tokens"
+          },
+          "successful_requests": {
+            "name": "Erfolgreiche Anfragen"
+          },
+          "failed_requests": {
+            "name": "Fehlgeschlagene Anfragen"
+          },
+          "average_latency": {
+            "name": "Durchschnittliche Latenz"
+          },
+          "max_latency": {
+            "name": "Maximale Latenz"
+          },
+          "min_latency": {
+            "name": "Minimale Latenz"
+          }
+        }
+      }
+    }
+  }
 }

custom_components/ha_text_ai/translations/en.json

@@ -1,260 +1,296 @@
 {
-    "config": {
+  "config": {
-        "step": {
+    "step": {
-            "provider": {
+      "provider": {
-                "title": "Select AI Provider",
+        "title": "Select AI Provider",
-                "description": "Choose which AI service provider to use for this instance",
+        "description": "Choose which AI service provider to use for this instance.",
-                "data": {
+        "data": {
-                    "api_provider": "API Provider",
+          "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)"
-            },
-            "user": {
-                "title": "Configure HA Text AI Instance",
-                "description": "Set up a new AI assistant instance with your selected provider",
-                "data": {
-                    "name": "Instance name (e.g., 'GPT Assistant', 'Claude Helper')",
-                    "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)",
-                    "api_endpoint": "Custom API endpoint URL (optional)",
-                    "request_interval": "Minimum time between requests (0.1-60 seconds)",
-                    "context_messages": "Number of context messages to retain (1-20)"
-                }
-            }
-        },
-        "error": {
-            "name_exists": "An instance with this name already exists",
-            "invalid_name": "Invalid instance name",
-            "invalid_auth": "Authentication failed - check your API key",
-            "invalid_api_key": "Invalid API key - please verify your credentials",
-            "cannot_connect": "Failed to connect to API service",
-            "invalid_model": "Selected model is not available",
-            "rate_limit": "Rate limit exceeded",
-            "context_length": "Context length exceeded",
-            "rate_limit_exceeded": "API rate limit exceeded",
-            "maintenance": "Service is under maintenance",
-            "invalid_response": "Invalid API response received",
-            "api_error": "API service error occurred",
-            "timeout": "Request timed out",
-            "invalid_instance": "Invalid instance specified",
-            "unknown": "Unexpected error occurred"
         }
+      },
+      "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 (1-4096 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": {
+        "title": "Configure HA Text AI Instance",
+        "description": "Set up a new AI assistant instance with your selected provider.",
+        "data": {
+          "name": "Instance name (e.g., 'GPT Assistant', 'Claude Helper')",
+          "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)",
+          "api_endpoint": "Custom API endpoint URL (optional)",
+          "api_provider": "API Provider",
+          "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)"
+        }
+      }
     },
-    "options": {
+    "error": {
-        "step": {
+      "history_storage_error": "Failed to initialize history storage. Check permissions.",
-            "init": {
+      "history_rotation_error": "Error during history file rotation.",
-                "title": "Update Instance Settings",
+      "history_file_access_error": "Cannot access history storage directory.",
-                "description": "Modify settings for this AI assistant instance",
+      "name_exists": "An instance with this name already exists",
-                "data": {
+      "invalid_name": "Invalid instance name",
-                    "model": "AI model",
+      "invalid_auth": "Authentication failed - check your API key",
-                    "temperature": "Response creativity (0-2)",
+      "invalid_api_key": "Invalid API key - please verify your credentials",
-                    "max_tokens": "Maximum response length (1-4096)",
+      "cannot_connect": "Failed to connect to API service",
-                    "request_interval": "Minimum request interval (0.1-60 seconds)",
+      "invalid_model": "Selected model is not available",
-                    "context_messages": "Number of previous messages to include in context (1-20)"
+      "rate_limit": "Rate limit exceeded",
-                }
+      "context_length": "Context length exceeded",
-            }
+      "rate_limit_exceeded": "API rate limit exceeded",
-        }
+      "maintenance": "Service is under maintenance",
+      "invalid_response": "Invalid API response received",
+      "api_error": "API service error occurred",
+      "timeout": "Request timed out",
+      "invalid_instance": "Invalid instance specified",
+      "unknown": "Unexpected error occurred",
+      "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"
     },
-    "services": {
+    "abort": {
-        "ask_question": {
+      "already_configured": "Instance already configured"
-            "name": "Ask Question (HA Text AI)",
-            "description": "Send a question to the AI model and receive a detailed response. The response will be stored in the conversation history and can be retrieved later.",
-            "fields": {
-                "instance": {
-                    "name": "Instance",
-                    "description": "Name of the HA Text AI instance to use"
-                },
-                "question": {
-                    "name": "Question",
-                    "description": "Your question or prompt for the AI assistant"
-                },
-                "context_messages": {
-                    "name": "Context Messages",
-                    "description": "Number of previous messages to include in context (1-20)"
-                },
-                "system_prompt": {
-                    "name": "System Prompt",
-                    "description": "Optional system prompt to set context for this specific question"
-                },
-                "model": {
-                    "name": "Model",
-                    "description": "Select AI model to use (optional, overrides default setting)"
-                },
-                "temperature": {
-                    "name": "Temperature",
-                    "description": "Controls response creativity (0.0-2.0)"
-                },
-                "max_tokens": {
-                    "name": "Max Tokens",
-                    "description": "Maximum length of the response (1-4096 tokens)"
-                }
-            }
-        },
-        "clear_history": {
-            "name": "Clear History",
-            "description": "Delete all stored questions and responses from the conversation history",
-            "fields": {
-                "instance": {
-                    "name": "Instance",
-                    "description": "Name of the HA Text AI instance to clear history for"
-                }
-            }
-        },
-        "get_history": {
-            "name": "Get History",
-            "description": "Retrieve conversation history with optional filtering and sorting",
-            "fields": {
-                "instance": {
-                    "name": "Instance",
-                    "description": "Name of the HA Text AI instance to get history from"
-                },
-                "limit": {
-                    "name": "Limit",
-                    "description": "Number of conversations to return (1-100)"
-                },
-                "filter_model": {
-                    "name": "Filter Model",
-                    "description": "Filter conversations by specific AI model"
-                },
-                "start_date": {
-                    "name": "Start Date",
-                    "description": "Filter conversations starting from this date/time"
-                },
-                "include_metadata": {
-                    "name": "Include Metadata",
-                    "description": "Include additional information like tokens used, response time, etc."
-                },
-                "sort_order": {
-                    "name": "Sort Order",
-                    "description": "Sort order for results (newest or oldest first)"
-                }
-            }
-        },
-        "set_system_prompt": {
-            "name": "Set System Prompt",
-            "description": "Set default system behavior instructions for all future conversations",
-            "fields": {
-                "instance": {
-                    "name": "Instance",
-                    "description": "Name of the HA Text AI instance to set system prompt for"
-                },
-                "prompt": {
-                    "name": "System Prompt",
-                    "description": "Instructions that define how the AI should behave and respond"
-                }
-            }
-        }
-    },
-    "entity": {
-        "sensor": {
-            "ha_text_ai": {
-                "name": "{name}",
-                "state": {
-                    "ready": "Ready",
-                    "processing": "Processing",
-                    "error": "Error",
-                    "disconnected": "Disconnected",
-                    "rate_limited": "Rate Limited",
-                    "maintenance": "Maintenance",
-                    "initializing": "Initializing",
-                    "retrying": "Retrying",
-                    "queued": "Queued"
-                },
-                "state_attributes": {
-                    "question": {
-                        "name": "Last Question"
-                    },
-                    "response": {
-                        "name": "Last Response"
-                    },
-                    "model": {
-                        "name": "Current Model"
-                    },
-                    "temperature": {
-                        "name": "Temperature"
-                    },
-                    "max_tokens": {
-                        "name": "Max Tokens"
-                    },
-                    "system_prompt": {
-                        "name": "System Prompt"
-                    },
-                    "response_time": {
-                        "name": "Last Response Time"
-                    },
-                    "total_responses": {
-                        "name": "Total Responses"
-                    },
-                    "error_count": {
-                        "name": "Error Count"
-                    },
-                    "last_error": {
-                        "name": "Last Error"
-                    },
-                    "api_status": {
-                        "name": "API Status"
-                    },
-                    "tokens_used": {
-                        "name": "Total Tokens Used"
-                    },
-                    "average_response_time": {
-                        "name": "Average Response Time"
-                    },
-                    "last_request_time": {
-                        "name": "Last Request Time"
-                    },
-                    "is_processing": {
-                        "name": "Processing Status"
-                    },
-                    "is_rate_limited": {
-                        "name": "Rate Limited Status"
-                    },
-                    "is_maintenance": {
-                        "name": "Maintenance Status"
-                    },
-                    "api_version": {
-                        "name": "API Version"
-                    },
-                    "endpoint_status": {
-                        "name": "Endpoint Status"
-                    },
-                    "performance_metrics": {
-                        "name": "Performance Metrics"
-                    },
-                    "history_size": {
-                        "name": "History Size"
-                    },
-                    "uptime": {
-                        "name": "Uptime"
-                    },
-                    "total_tokens": {
-                        "name": "Total Tokens"
-                    },
-                    "prompt_tokens": {
-                        "name": "Prompt Tokens"
-                    },
-                    "completion_tokens": {
-                        "name": "Completion Tokens"
-                    },
-                    "successful_requests": {
-                        "name": "Successful Requests"
-                    },
-                    "failed_requests": {
-                        "name": "Failed Requests"
-                    },
-                    "average_latency": {
-                        "name": "Average Latency"
-                    },
-                    "max_latency": {
-                        "name": "Maximum Latency"
-                    },
-                    "min_latency": {
-                        "name": "Minimum Latency"
-                    }
-                }
-            }
-        }
     }
+  },
+  "options": {
+    "step": {
+      "init": {
+        "title": "Update Instance Settings",
+        "description": "Modify settings for this AI assistant instance.",
+        "data": {
+          "model": "AI model",
+          "temperature": "Response creativity (0-2)",
+          "max_tokens": "Maximum response length (1-4096)",
+          "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)"
+        }
+      }
+    }
+  },
+  "selector": {
+  "api_provider": {
+    "options": {
+      "openai": "OpenAI (compatible)",
+      "anthropic": "Anthropic (compatible)"
+    }
+  }
+},
+  "services": {
+    "ask_question": {
+      "name": "Ask Question (HA Text AI)",
+      "description": "Send a question to the AI model and receive a detailed response. The response will be stored in the conversation history and can be retrieved later.",
+      "fields": {
+        "instance": {
+          "name": "Instance",
+          "description": "Name of the HA Text AI instance to use"
+        },
+        "question": {
+          "name": "Question",
+          "description": "Your question or prompt for the AI assistant"
+        },
+        "context_messages": {
+          "name": "Context Messages",
+          "description": "Number of previous messages to include in context (1-20)"
+        },
+        "system_prompt": {
+          "name": "System Prompt",
+          "description": "Optional system prompt to set context for this specific question"
+        },
+        "model": {
+          "name": "Model",
+          "description": "Select AI model to use (optional, overrides default setting)"
+        },
+        "temperature": {
+          "name": "Temperature",
+          "description": "Controls response creativity (0.0-2.0)"
+        },
+        "max_tokens": {
+          "name": "Max Tokens",
+          "description": "Maximum length of the response (1-4096 tokens)"
+        }
+      }
+    },
+    "clear_history": {
+      "name": "Clear History",
+      "description": "Delete all stored questions and responses from the conversation history",
+      "fields": {
+        "instance": {
+          "name": "Instance",
+          "description": "Name of the HA Text AI instance to clear history for"
+        }
+      }
+    },
+    "get_history": {
+      "name": "Get History",
+      "description": "Retrieve conversation history with optional filtering and sorting",
+      "fields": {
+        "instance": {
+          "name": "Instance",
+          "description": "Name of the HA Text AI instance to get history from"
+        },
+        "limit": {
+          "name": "Limit",
+          "description": "Number of conversations to return (1-100)"
+        },
+        "filter_model": {
+          "name": "Filter Model",
+          "description": "Filter conversations by specific AI model"
+        },
+        "start_date": {
+          "name": "Start Date",
+          "description": "Filter conversations starting from this date/time"
+        },
+        "include_metadata": {
+          "name": "Include Metadata",
+          "description": "Include additional information like tokens used, response time, etc."
+        },
+        "sort_order": {
+          "name": "Sort Order",
+          "description": "Sort order for results (newest or oldest first)"
+        }
+      }
+    },
+    "set_system_prompt": {
+      "name": "Set System Prompt",
+      "description": "Set default system behavior instructions for all future conversations",
+      "fields": {
+        "instance": {
+          "name": "Instance",
+          "description": "Name of the HA Text AI instance to set system prompt for"
+        },
+        "prompt": {
+          "name": "System Prompt",
+          "description": "Instructions that define how the AI should behave and respond"
+        }
+      }
+    }
+  },
+  "entity": {
+    "sensor": {
+      "ha_text_ai": {
+        "name": "{name}",
+        "state": {
+          "ready": "Ready",
+          "processing": "Processing",
+          "error": "Error",
+          "disconnected": "Disconnected",
+          "rate_limited": "Rate Limited",
+          "maintenance": "Maintenance",
+          "initializing": "Initializing",
+          "retrying": "Retrying",
+          "queued": "Queued"
+        },
+        "state_attributes": {
+          "question": {
+            "name": "Last Question"
+          },
+          "response": {
+            "name": "Last Response"
+          },
+          "model": {
+            "name": "Current Model"
+          },
+          "temperature": {
+            "name": "Temperature"
+          },
+          "max_tokens": {
+            "name": "Max Tokens"
+          },
+          "system_prompt": {
+            "name": "System Prompt"
+          },
+          "response_time": {
+            "name": "Last Response Time"
+          },
+          "total_responses": {
+            "name": "Total Responses"
+          },
+          "error_count": {
+            "name": "Error Count"
+          },
+          "last_error": {
+            "name": "Last Error"
+          },
+          "api_status": {
+            "name": "API Status"
+          },
+          "tokens_used": {
+            "name": "Total Tokens Used"
+          },
+          "average_response_time": {
+            "name": "Average Response Time"
+          },
+          "last_request_time": {
+            "name": "Last Request Time"
+          },
+          "is_processing": {
+            "name": "Processing Status"
+          },
+          "is_rate_limited": {
+            "name": "Rate Limited Status"
+          },
+          "is_maintenance": {
+            "name": "Maintenance Status"
+          },
+          "api_version": {
+            "name": "API Version"
+          },
+          "endpoint_status": {
+            "name": "Endpoint Status"
+          },
+          "performance_metrics": {
+            "name": "Performance Metrics"
+          },
+          "history_size": {
+            "name": "History Size"
+          },
+          "uptime": {
+            "name": "Uptime"
+          },
+          "total_tokens": {
+            "name": "Total Tokens"
+          },
+          "prompt_tokens": {
+            "name": "Prompt Tokens"
+          },
+          "completion_tokens": {
+            "name": "Completion Tokens"
+          },
+          "successful_requests": {
+            "name": "Successful Requests"
+          },
+          "failed_requests": {
+            "name": "Failed Requests"
+          },
+          "average_latency": {
+            "name": "Average Latency"
+          },
+          "max_latency": {
+            "name": "Maximum Latency"
+          },
+          "min_latency": {
+            "name": "Minimum Latency"
+          }
+        }
+      }
+    }
+  }
 }

custom_components/ha_text_ai/translations/es.json

@@ -0,0 +1,296 @@
+{
+  "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 (1-4096 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 (1-4096 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 (1-4096)",
+          "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)"
+      }
+    }
+  },
+  "services": {
+    "ask_question": {
+      "name": "Hacer Pregunta (IA de Texto de HA)",
+      "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 (1-4096 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 +1,296 @@
+{
+  "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 (1-4096 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 (1-4096 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 (1-4096)",
+          "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)"
+      }
+    }
+  },
+  "services": {
+    "ask_question": {
+      "name": "प्रश्न पूछें (एचए टेक्स्ट एआई)",
+      "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 (1-4096 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 +1,296 @@
+{
+  "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 (1-4096 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 (1-4096 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 (1-4096)",
+          "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)"
+      }
+    }
+  },
+  "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 (1-4096 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

@@ -1,260 +1,296 @@
 {
-    "config": {
+  "config": {
-        "step": {
+    "step": {
-            "provider": {
+      "provider": {
-                "title": "Выбор провайдера ИИ",
+        "title": "Выбор провайдера ИИ",
-                "description": "Выберите сервис ИИ для этого экземпляра",
+        "description": "Выберите сервис искусственного интеллекта для этого экземпляра.",
-                "data": {
+        "data": {
-                    "api_provider": "Провайдер API",
+          "api_provider": "Провайдер API",
-                    "context_messages": "Количество сообщений в контексте (1-20)"  
+          "context_messages": "Количество сохраняемых контекстных сообщений (1-20)",
-                }
+          "max_history_size": "Максимальный размер истории разговора (1-100)"
-            },
-            "user": {
-                "title": "Настройка экземпляра HA Text AI",
-                "description": "Настройте нового помощника ИИ с выбранным провайдером",
-                "data": {
-                    "name": "Название экземпляра (например, 'GPT Помощник', 'Claude Ассистент')",
-                    "api_key": "API-ключ для аутентификации",
-                    "model": "Модель ИИ для использования",
-                    "temperature": "Креативность ответов (0-2, меньше = более сфокусированно)",
-                    "max_tokens": "Максимальная длина ответа (1-4096 токенов)",
-                    "api_endpoint": "Пользовательский URL-адрес API (необязательно)",
-                    "request_interval": "Минимальный интервал между запросами (0.1-60 секунд)",
-                    "context_messages": "Количество сохраняемых контекстных сообщений (1-20)"
-                }
-            }
-        },
-        "error": {
-            "name_exists": "Экземпляр с таким именем уже существует",
-            "invalid_name": "Некорректное имя экземпляра",
-            "invalid_auth": "Ошибка аутентификации - проверьте API-ключ",
-            "invalid_api_key": "Неверный API-ключ - 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 API",
-            "maintenance": "Сервис на техническом обслуживании",
-            "invalid_response": "Получен некорректный ответ API",
-            "api_error": "Произошла ошибка сервиса API",
-            "timeout": "Время ожидания истекло",
-            "invalid_instance": "Указан неверный экземпляр",
-            "unknown": "Произошла непредвиденная ошибка"
         }
+      },
+      "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 (1-4096 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 экземпляра текстового ИИ для Home Assistant",
+        "description": "Настройте новый экземпляр ИИ-помощника с выбранным провайдером.",
+        "data": {
+          "name": "Название экземпляра (например, 'GPT Помощник', 'Клод Ассистент')",
+          "api_key": "API-ключ для аутентификации",
+          "model": "Модель ИИ для использования",
+          "temperature": "Креативность ответа (0-2, меньше = более сфокусированно)",
+          "max_tokens": "Максимальная длина ответа (1-4096 токенов)",
+          "api_endpoint": "Пользовательский URL-адрес конечной точки API (необязательно)",
+          "api_provider": "Провайдер API",
+          "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)"
+        }
+      }
     },
-    "options": {
+    "error": {
-        "step": {
+      "history_storage_error": "Не удалось инициализировать хранилище истории. Проверьте разрешения.",
-            "init": {
+      "history_rotation_error": "Ошибка при ротации файла истории.",
-                "title": "Обновление настроек экземпляра",
+      "history_file_access_error": "Невозможно получить доступ к директории хранения истории.",
-                "description": "Измените настройки для этого помощника ИИ",
+      "name_exists": "Экземпляр с таким именем уже существует",
-                "data": {
+      "invalid_name": "Недопустимое имя экземпляра",
-                    "model": "Модель ИИ",
+      "invalid_auth": "Ошибка аутентификации - проверьте API-ключ",
-                    "temperature": "Креативность ответов (0-2)",
+      "invalid_api_key": "Недопустимый API-ключ - пожалуйста, проверьте учетные данные",
-                    "max_tokens": "Максимальная длина ответа (1-4096)",
+      "cannot_connect": "Не удалось подключиться к сервису API",
-                    "request_interval": "Минимальный интервал запросов (0.1-60 секунд)",
+      "invalid_model": "Выбранная модель недоступна",
-                    "context_messages": "Количество предыдущих сообщений для включения в контекст (1-20)"
+      "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 некорректный ответ API",
+      "api_error": "Произошла ошибка сервиса API",
+      "timeout": "Время ожидания запроса истекло",
+      "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 длиннее 50 символов"
     },
-    "services": {
+    "abort": {
-        "ask_question": {
+      "already_configured": "Экземпляр уже настроен"
-            "name": "Задать вопрос (HA Text AI)",
-            "description": "Отправьте вопрос модели ИИ и получите подробный ответ. Ответ будет сохранен в истории беседы и может быть извлечен позже.",
-            "fields": {
-                "instance": {
-                    "name": "Экземпляр",
-                    "description": "Название экземпляра HA Text AI для использования"
-                },
-                "question": {
-                    "name": "Вопрос",
-                    "description": "Ваш вопрос или запрос помощнику ИИ"
-                },
-                "context_messages": {
-                    "name": "Контекстные сообщения",
-                    "description": "Количество предыдущих сообщений для включения в контекст (1-20)"
-                },
-                "system_prompt": {
-                    "name": "Системный промпт",
-                    "description": "Необязательный системный промпт для установки контекста для этого конкретного вопроса"
-                },
-                "model": {
-                    "name": "Модель",
-                    "description": "Выберите модель ИИ (необязательно, переопределяет настройки по умолчанию)"
-                },
-                "temperature": {
-                    "name": "Температура",
-                    "description": "Управляет креативностью ответа (0.0-2.0)"
-                },
-                "max_tokens": {
-                    "name": "Максимальное количество токенов",
-                    "description": "Максимальная длина ответа (1-4096 токенов)"
-                }
-            }
-        },
-        "clear_history": {
-            "name": "Очистить историю",
-            "description": "Удалить все сохраненные вопросы и ответы из истории беседы",
-            "fields": {
-                "instance": {
-                    "name": "Экземпляр",
-                    "description": "Название экземпляра HA Text AI для очистки истории"
-                }
-            }
-        },
-        "get_history": {
-            "name": "Получить историю",
-            "description": "Получить историю беседы с дополнительной фильтрацией и сортировкой",
-            "fields": {
-                "instance": {
-                    "name": "Экземпляр",
-                    "description": "Название экземпляра HA Text AI для получения истории"
-                },
-                "limit": {
-                    "name": "Лимит",
-                    "description": "Количество возвращаемых бесед (1-100)"
-                },
-                "filter_model": {
-                    "name": "Фильтр модели",
-                    "description": "Фильтрация бесед по конкретной модели ИИ"
-                },
-                "start_date": {
-                    "name": "Начальная дата",
-                    "description": "Фильтрация бесед, начиная с указанной даты/времени"
-                },
-                "include_metadata": {
-                    "name": "Включить метаданные",
-                    "description": "Включить дополнительную информацию, например, использованные токены, время ответа и т.д."
-                },
-                "sort_order": {
-                    "name": "Порядок сортировки",
-                    "description": "Порядок результатов (сначала новые или старые)"
-                }
-            }
-        },
-        "set_system_prompt": {
-            "name": "Установить системный промпт",
-            "description": "Установить инструкции по умолчанию для поведения ИИ во всех будущих разговорах",
-            "fields": {
-                "instance": {
-                    "name": "Экземпляр",
-                    "description": "Название экземпляра HA Text AI для установки системного промпта"
-                },
-                "prompt": {
-                    "name": "Системный промпт",
-                    "description": "Инструкции, определяющие, как ИИ должен вести себя и отвечать"
-                }
-            }
-        }
-    },
-    "entity": {
-        "sensor": {
-            "ha_text_ai": {
-                "name": "{name}",
-                "state": {
-                    "ready": "Готов",
-                    "processing": "Обработка",
-                    "error": "Ошибка",
-                    "disconnected": "Отключен",
-                    "rate_limited": "Лимит запросов",
-                    "maintenance": "Техническое обслуживание",
-                    "initializing": "Инициализация",
-                    "retrying": "Повторная попытка",
-                    "queued": "В очереди"
-                },
-                "state_attributes": {
-                    "question": {
-                        "name": "Последний вопрос"
-                    },
-                    "response": {
-                        "name": "Последний ответ"
-                    },
-                    "model": {
-                        "name": "Текущая модель"
-                    },
-                    "temperature": {
-                        "name": "Температура"
-                    },
-                    "max_tokens": {
-                        "name": "Максимальное количество токенов"
-                    },
-                    "system_prompt": {
-                        "name": "Системный промпт"
-                    },
-                    "response_time": {
-                        "name": "Время последнего ответа"
-                    },
-                    "total_responses": {
-                        "name": "Всего ответов"
-                    },
-                    "error_count": {
-                        "name": "Количество ошибок"
-                    },
-                    "last_error": {
-                        "name": "Последняя ошибка"
-                    },
-                    "api_status": {
-                        "name": "Статус API"
-                    },
-                    "tokens_used": {
-                        "name": "Всего использовано токенов"
-                    },
-                    "average_response_time": {
-                        "name": "Среднее время ответа"
-                    },
-                    "last_request_time": {
-                        "name": "Время последнего запроса"
-                    },
-                    "is_processing": {
-                        "name": "Статус обработки"
-                    },
-                    "is_rate_limited": {
-                        "name": "Статус лимита запросов"
-                    },
-                    "is_maintenance": {
-                        "name": "Статус обслуживания"
-                    },
-                    "api_version": {
-                        "name": "Версия API"
-                    },
-                    "endpoint_status": {
-                        "name": "Статус эндпоинта"
-                    },
-                    "performance_metrics": {
-                        "name": "Показатели производительности"
-                    },
-                    "history_size": {
-                        "name": "Размер истории"
-                    },
-                    "uptime": {
-                        "name": "Время работы"
-                    },
-                    "total_tokens": {
-                        "name": "Всего токенов"
-                    },
-                    "prompt_tokens": {
-                        "name": "Токены промпта"
-                    },
-                    "completion_tokens": {
-                        "name": "Токены завершения"
-                    },
-                    "successful_requests": {
-                        "name": "Успешные запросы"
-                    },
-                    "failed_requests": {
-                        "name": "Неудачные запросы"
-                    },
-                    "average_latency": {
-                        "name": "Средняя задержка"
-                    },
-                    "max_latency": {
-                        "name": "Максимальная задержка"
-                    },
-                    "min_latency": {
-                        "name": "Минимальная задержка"
-                    }
-                }
-            }
-        }
     }
+  },
+  "options": {
+    "step": {
+      "init": {
+        "title": "Обновление настроек экземпляра",
+        "description": "Измените настройки для этого экземпляра ИИ-помощника.",
+        "data": {
+          "model": "Модель ИИ",
+          "temperature": "Креативность ответа (0-2)",
+          "max_tokens": "Максимальная длина ответа (1-4096)",
+          "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)"
+      }
+    }
+  },
+  "services": {
+    "ask_question": {
+      "name": "Задать вопрос (Текстовый ИИ HA)",
+      "description": "Отправить вопрос модели ИИ и получить подробный ответ. Ответ будет сохранен в истории разговора и может быть получен позже.",
+      "fields": {
+        "instance": {
+          "name": "Экземпляр",
+          "description": "Название экземпляра текстового ИИ для использования"
+        },
+        "question": {
+          "name": "Вопрос",
+          "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 промпт",
+          "description": "Необязательный системный промпт для установки контекста для этого конкретного вопроса"
+        },
+        "model": {
+          "name": "Модель",
+          "description": "Выберите модель ИИ для использования (необязательно, переопределяет настройки по умолчанию)"
+        },
+        "temperature": {
+          "name": "Температура",
+          "description": "Управление креативностью ответа (0.0-2.0)"
+        },
+        "max_tokens": {
+          "name": "Максимум токенов",
+          "description": "Максимальная длина ответа (1-4096 токенов)"
+        }
+      }
+    },
+    "clear_history": {
+      "name": "Очистить историю",
+      "description": "Удалить все сохраненные вопросы и ответы из истории разговора",
+      "fields": {
+        "instance": {
+          "name": "Экземпляр",
+          "description": "Название экземпляра текстового ИИ для очистки истории"
+        }
+      }
+    },
+    "get_history": {
+      "name": "Получить историю",
+      "description": "Получить историю разговора с дополнительной фильтрацией и сортировкой",
+      "fields": {
+        "instance": {
+          "name": "Экземпляр",
+          "description": "Название экземпляра текстового ИИ для получения истории"
+        },
+        "limit": {
+          "name": "Лимит",
+          "description": "Количество разговоров для возврата (1-100)"
+        },
+        "filter_model": {
+          "name": "Фильтр модели",
+          "description": "Фильтрация разговоров по конкретной модели ИИ"
+        },
+        "start_date": {
+          "name": "Начальная дата",
+          "description": "Фильтрация разговоров, начиная с указанной даты/времени"
+        },
+        "include_metadata": {
+          "name": "Включить метаданные",
+          "description": "Включить дополнительную информацию, например, использованные токены, время ответа и т.д."
+        },
+        "sort_order": {
+          "name": "Порядок сортировки",
+          "description": "Порядок сортировки результатов (сначала новые или старые)"
+        }
+      }
+    },
+    "set_system_prompt": {
+      "name": "Установить системный промпт",
+      "description": "Установить инструкции по умолчанию для поведения ИИ во всех будущих разговорах",
+      "fields": {
+        "instance": {
+          "name": "Экземпляр",
+          "description": "Название экземпляра текстового ИИ для установки системного промпта"
+        },
+        "prompt": {
+          "name": "Системный промпт",
+          "description": "Инструкции, определяющие, как ИИ должен вести себя и отвечать"
+        }
+      }
+    }
+  },
+  "entity": {
+    "sensor": {
+      "ha_text_ai": {
+        "name": "{name}",
+        "state": {
+          "ready": "Готов",
+          "processing": "Обработка",
+          "error": "Ошибка",
+          "disconnected": "Отключен",
+          "rate_limited": "Лимит запросов",
+          "maintenance": "Техническое обслуживание",
+          "initializing": "Инициализация",
+          "retrying": "Повторная попытка",
+          "queued": "В очереди"
+        },
+        "state_attributes": {
+          "question": {
+            "name": "Последний вопрос"
+          },
+          "response": {
+            "name": "Последний ответ"
+          },
+          "model": {
+            "name": "Текущая модель"
+          },
+          "temperature": {
+            "name": "Температура"
+          },
+          "max_tokens": {
+            "name": "Максимум токенов"
+          },
+          "system_prompt": {
+            "name": "Системный промпт"
+          },
+          "response_time": {
+            "name": "Время последнего ответа"
+          },
+          "total_responses": {
+            "name": "Всего ответов"
+          },
+          "error_count": {
+            "name": "Количество ошибок"
+          },
+          "last_error": {
+            "name": "Последняя ошибка"
+          },
+          "api_status": {
+            "name": "Статус API"
+          },
+          "tokens_used": {
+            "name": "Всего использовано токенов"
+          },
+          "average_response_time": {
+            "name": "Среднее время ответа"
+          },
+          "last_request_time": {
+            "name": "Время последнего запроса"
+          },
+          "is_processing": {
+            "name": "Статус обработки"
+          },
+          "is_rate_limited": {
+            "name": "Статус лимита запросов"
+          },
+          "is_maintenance": {
+            "name": "Статус обслуживания"
+          },
+          "api_version": {
+            "name": "Версия API"
+          },
+          "endpoint_status": {
+            "name": "Статус конечной точки"
+          },
+          "performance_metrics": {
+            "name": "Показатели производительности"
+          },
+          "history_size": {
+            "name": "Размер истории"
+          },
+          "uptime": {
+            "name": "Время работы"
+          },
+          "total_tokens": {
+            "name": "Всего токенов"
+          },
+          "prompt_tokens": {
+            "name": "Токены промпта"
+          },
+          "completion_tokens": {
+            "name": "Токены завершения"
+          },
+          "successful_requests": {
+            "name": "Успешные запросы"
+          },
+          "failed_requests": {
+            "name": "Неудачные запросы"
+          },
+          "average_latency": {
+            "name": "Средняя задержка"
+          },
+          "max_latency": {
+            "name": "Максимальная задержка"
+          },
+          "min_latency": {
+            "name": "Минимальная задержка"
+          }
+        }
+      }
+    }
+  }
 }

custom_components/ha_text_ai/translations/sr.json

@@ -0,0 +1,296 @@
+{
+  "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 (1-4096 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 (1-4096 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 (1-4096)",
+          "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)"
+      }
+    }
+  },
+  "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 (1-4096 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 +1,296 @@
+{
+  "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（1-4096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（1-4096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（1-4096）",
+          "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）"
+      }
+    }
+  },
+  "services": {
+    "ask_question": {
+      "name": "提问（HA文本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（1-4096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

@@ -1,9 +1,5 @@
 {
   "name": "HA text AI",
   "render_readme": true,
-  "icon": "mdi:robot",
+  "homeassistant": "2024.11.0"
-  "domains": ["sensor"],
-  "homeassistant": "2024.11.0",
-  "version": "2.0.0",
-  "documentation": "https://github.com/smkrv/ha-text-ai"
 }

structure.md

@@ -2,18 +2,24 @@
 ha-text-ai/
 │
 ├── custom_components/
-│   └── ha_text_ai/
+    ├── ha_text_ai/
-│       ├── __init__.py
+    │   ├── __init__.py
-│       ├── config_flow.py
+    │   ├── config_flow.py
-│       ├── coordinator.py
+    │   ├── coordinator.py
-│       ├── manifest.json
+    │   ├── manifest.json
-│       ├── sensor.py
+    │   ├── sensor.py
-│       ├── services.yaml
+    │   ├── services.yaml
-│       ├── const.py
+    │   ├── const.py
-│       └── api_client.py
+    │   └── api_client.py
-│
+    │
-└── strings/
+    ├── translations/
-    ├── en.json
+    │   ├── en.json
-    ├── de.json
+    │   ├── de.json
-    └── ru.json
+    │   └── ru.json
+    │
+    └── icons/
+        ├── icon.png
+        ├── icon@2x.png
+        ├── logo.png
+        └── logo@2x.png
 ```