feat: Add ability to edit provider, API key, and endpoint in existing integrations

- Extended OptionsFlowHandler with two-step configuration flow
- Step 1: Select provider (OpenAI, Anthropic, DeepSeek, Gemini)
- Step 2: Configure API key, endpoint, model, and other settings
- Auto-reload integration on options change
- When switching providers, show appropriate default endpoint and model
- Updated translations for all 8 languages

.github/workflows/release.yml

@@ -0,0 +1,37 @@
+name: Release
+
+on:
+  release:
+    types: [created]
+
+permissions:
+  contents: write
+
+jobs:
+  build:
+    name: Build and upload release asset
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v4
+        with:
+          ref: ${{ github.event.release.tag_name }}
+
+      - name: Create zip archive
+        run: |
+          cd custom_components
+          zip -r ../ha_text_ai.zip ha_text_ai \
+            -x "ha_text_ai/__pycache__/*" \
+            -x "*.pyc" \
+            -x "*.pyo" \
+            -x "*/__pycache__/*" \
+            -x "*.DS_Store"
+
+      - name: Upload release asset
+        uses: softprops/action-gh-release@v2
+        with:
+          tag_name: ${{ github.event.release.tag_name }}
+          files: ha_text_ai.zip
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

custom_components/ha_text_ai/__init__.py

@@ -76,6 +76,8 @@ SERVICE_SCHEMA_ASK_QUESTION = vol.Schema({
     vol.Optional("temperature"): cv.positive_float,
     vol.Optional("max_tokens"): cv.positive_int,
     vol.Optional("context_messages"): cv.positive_int,
+    vol.Optional("structured_output", default=False): cv.boolean,
+    vol.Optional("json_schema"): cv.string,
 })
 
 SERVICE_SCHEMA_SET_SYSTEM_PROMPT = vol.Schema({
@@ -127,6 +129,8 @@ async def async_setup(hass: HomeAssistant, config: ConfigType) -> bool:
                 max_tokens=call.data.get("max_tokens"),
                 system_prompt=call.data.get("system_prompt"),
                 context_messages=call.data.get("context_messages"),
+                structured_output=call.data.get("structured_output", False),
+                json_schema=call.data.get("json_schema"),
             )
             
             # Return structured response data
@@ -308,21 +312,35 @@ async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
     _LOGGER.debug(f"Setting up HA Text AI entry: {entry.data}")
 
     try:
-        if CONF_API_PROVIDER not in entry.data:
+        # Get provider from data or options (options takes precedence)
+        config = {**entry.data, **entry.options}
+        api_provider = config.get(CONF_API_PROVIDER)
+
+        if not api_provider:
             _LOGGER.error("API provider not specified")
             raise ConfigEntryNotReady("API provider is required")
 
-        # Get configuration (merge data with options to apply any runtime changes)
-        config = {**entry.data, **entry.options}
         session = aiohttp_client.async_get_clientsession(hass)
-        api_provider = config.get(CONF_API_PROVIDER)
-        model = config.get(CONF_MODEL, DEFAULT_MODEL)
-        endpoint = config.get(
-            CONF_API_ENDPOINT,
-            DEFAULT_OPENAI_ENDPOINT if api_provider == API_PROVIDER_OPENAI
-            else DEFAULT_ANTHROPIC_ENDPOINT
-        ).rstrip('/')
-        api_key = entry.data[CONF_API_KEY]  # API key stays in data, not in options
+
+        # Get default endpoint based on provider
+        default_endpoint = {
+            API_PROVIDER_OPENAI: DEFAULT_OPENAI_ENDPOINT,
+            API_PROVIDER_ANTHROPIC: DEFAULT_ANTHROPIC_ENDPOINT,
+            API_PROVIDER_DEEPSEEK: DEFAULT_DEEPSEEK_ENDPOINT,
+            API_PROVIDER_GEMINI: DEFAULT_GEMINI_ENDPOINT,
+        }.get(api_provider, DEFAULT_OPENAI_ENDPOINT)
+
+        # Get default model based on provider
+        default_model = (
+            DEFAULT_DEEPSEEK_MODEL if api_provider == API_PROVIDER_DEEPSEEK else
+            DEFAULT_GEMINI_MODEL if api_provider == API_PROVIDER_GEMINI else
+            DEFAULT_MODEL
+        )
+
+        model = config.get(CONF_MODEL, default_model)
+        endpoint = config.get(CONF_API_ENDPOINT, default_endpoint).rstrip('/')
+        # API key can now be updated via options
+        api_key = config.get(CONF_API_KEY, entry.data.get(CONF_API_KEY))
         instance_name = entry.data.get(CONF_NAME, entry.entry_id)
         request_interval = config.get(CONF_REQUEST_INTERVAL, DEFAULT_REQUEST_INTERVAL)
         api_timeout = config.get(CONF_API_TIMEOUT, DEFAULT_API_TIMEOUT)
@@ -382,6 +400,9 @@ async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
         # Set up platforms
         await hass.config_entries.async_forward_entry_setups(entry, PLATFORMS)
 
+        # Register update listener for options changes
+        entry.async_on_unload(entry.add_update_listener(async_update_options))
+
         _LOGGER.debug(f"Setup completed for {instance_name}")
 
         return True
@@ -390,6 +411,12 @@ async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
         _LOGGER.exception(f"Error setting up HA Text AI: {err}")
         raise
 
+async def async_update_options(hass: HomeAssistant, entry: ConfigEntry) -> None:
+    """Handle options update - reload the config entry."""
+    _LOGGER.info("Options updated for %s, reloading integration", entry.title)
+    await hass.config_entries.async_reload(entry.entry_id)
+
+
 async def async_unload_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
     """Unload a config entry."""
     try:

custom_components/ha_text_ai/api_client.py

@@ -127,6 +127,8 @@ class APIClient:
         messages: List[Dict[str, str]],
         temperature: float,
         max_tokens: int,
+        structured_output: bool = False,
+        json_schema: Optional[str] = None,
     ) -> Dict[str, Any]:
         """Create completion using appropriate API."""
         try:
@@ -134,19 +136,23 @@ class APIClient:
 
             if self.api_provider == API_PROVIDER_ANTHROPIC:
                 return await self._create_anthropic_completion(
-                    model, messages, temperature, max_tokens
+                    model, messages, temperature, max_tokens,
+                    structured_output, json_schema
                 )
             elif self.api_provider == API_PROVIDER_DEEPSEEK:
                 return await self._create_deepseek_completion(
-                    model, messages, temperature, max_tokens
+                    model, messages, temperature, max_tokens,
+                    structured_output, json_schema
                 )
             elif self.api_provider == API_PROVIDER_GEMINI:
                 return await self._create_gemini_completion(
-                    model, messages, temperature, max_tokens
+                    model, messages, temperature, max_tokens,
+                    structured_output, json_schema
                 )
             else:
                 return await self._create_openai_completion(
-                    model, messages, temperature, max_tokens
+                    model, messages, temperature, max_tokens,
+                    structured_output, json_schema
                 )
         except Exception as e:
             _LOGGER.error("API request failed: %s", str(e))
@@ -158,6 +164,8 @@ class APIClient:
         messages: List[Dict[str, str]],
         temperature: float,
         max_tokens: int,
+        structured_output: bool = False,
+        json_schema: Optional[str] = None,
     ) -> Dict[str, Any]:
         """Create completion using DeepSeek API."""
         url = f"{self.endpoint}/chat/completions"
@@ -169,6 +177,24 @@ class APIClient:
             "stream": False
         }
 
+        # Add structured output format if enabled (DeepSeek is OpenAI-compatible)
+        if structured_output and json_schema:
+            try:
+                import json
+                schema = json.loads(json_schema)
+                payload["response_format"] = {
+                    "type": "json_schema",
+                    "json_schema": {
+                        "name": "structured_response",
+                        "strict": True,
+                        "schema": schema
+                    }
+                }
+                _LOGGER.debug("DeepSeek structured output enabled with schema")
+            except json.JSONDecodeError as e:
+                _LOGGER.warning(f"Invalid JSON schema provided: {e}. Falling back to json_object mode.")
+                payload["response_format"] = {"type": "json_object"}
+
         data = await self._make_request(url, payload)
         return {
             "choices": [
@@ -189,6 +215,8 @@ class APIClient:
         messages: List[Dict[str, str]],
         temperature: float,
         max_tokens: int,
+        structured_output: bool = False,
+        json_schema: Optional[str] = None,
     ) -> Dict[str, Any]:
         """Create completion using OpenAI API."""
         url = f"{self.endpoint}/chat/completions"
@@ -199,6 +227,24 @@ class APIClient:
             "max_tokens": max_tokens,
         }
 
+        # Add structured output format if enabled
+        if structured_output and json_schema:
+            try:
+                import json
+                schema = json.loads(json_schema)
+                payload["response_format"] = {
+                    "type": "json_schema",
+                    "json_schema": {
+                        "name": "structured_response",
+                        "strict": True,
+                        "schema": schema
+                    }
+                }
+                _LOGGER.debug("OpenAI structured output enabled with schema")
+            except json.JSONDecodeError as e:
+                _LOGGER.warning(f"Invalid JSON schema provided: {e}. Falling back to json_object mode.")
+                payload["response_format"] = {"type": "json_object"}
+
         data = await self._make_request(url, payload)
         return {
             "choices": [
@@ -219,6 +265,8 @@ class APIClient:
         messages: List[Dict[str, str]],
         temperature: float,
         max_tokens: int,
+        structured_output: bool = False,
+        json_schema: Optional[str] = None,
     ) -> Dict[str, Any]:
         """Create completion using Anthropic API."""
         url = f"{self.endpoint}/v1/messages"
@@ -234,6 +282,20 @@ class APIClient:
             else:
                 filtered_messages.append(msg)
 
+        # For Anthropic, add structured output instruction to system prompt
+        if structured_output and json_schema:
+            schema_instruction = (
+                f"\n\nIMPORTANT: You MUST respond ONLY with valid JSON that matches "
+                f"this JSON Schema:\n{json_schema}\n"
+                f"Do not include any text before or after the JSON. "
+                f"Do not wrap the JSON in markdown code blocks."
+            )
+            if system_prompt:
+                system_prompt += schema_instruction
+            else:
+                system_prompt = schema_instruction.strip()
+            _LOGGER.debug("Anthropic structured output enabled via system prompt")
+
         payload = {
             "model": model,
             "messages": filtered_messages,
@@ -273,6 +335,8 @@ class APIClient:
         messages: List[Dict[str, str]],
         temperature: float,
         max_tokens: int,
+        structured_output: bool = False,
+        json_schema: Optional[str] = None,
     ) -> Dict[str, Any]:
         """Create completion using Gemini API with google-genai library.
 
@@ -281,6 +345,8 @@ class APIClient:
             messages: List of message dictionaries with role and content
             temperature: Sampling temperature between 0.0 and 2.0
             max_tokens: Maximum number of tokens to generate
+            structured_output: Enable JSON structured output mode
+            json_schema: JSON Schema for structured output validation
 
         Returns:
             Dictionary with response content and token usage
@@ -319,6 +385,16 @@ class APIClient:
                         "parts": [{"text": msg['content']}]
                     })
 
+            # Parse JSON schema if structured output is enabled
+            parsed_schema = None
+            if structured_output and json_schema:
+                try:
+                    import json
+                    parsed_schema = json.loads(json_schema)
+                    _LOGGER.debug("Gemini structured output enabled with schema")
+                except json.JSONDecodeError as e:
+                    _LOGGER.warning(f"Invalid JSON schema provided: {e}. Structured output disabled.")
+
             # Create configuration
             def create_config():
                 from google.genai import types
@@ -331,6 +407,11 @@ class APIClient:
                 if system_instruction:
                     config.system_instruction = system_instruction.strip()
 
+                # Add structured output configuration for Gemini
+                if structured_output and parsed_schema:
+                    config.response_mime_type = "application/json"
+                    config.response_schema = parsed_schema
+
                 return config
 
             config = await asyncio.to_thread(create_config)
@@ -407,4 +488,5 @@ class APIClient:
     async def shutdown(self) -> None:
         """Shutdown API client."""
         _LOGGER.debug("Shutting down API client")
-        await self.session.close()
+        self._closed = True
+        # Do NOT close the shared Home Assistant session

custom_components/ha_text_ai/config_flow.py

@@ -473,84 +473,229 @@ class HATextAIConfigFlow(config_entries.ConfigFlow, domain=DOMAIN):
     @callback
     def async_get_options_flow(config_entry: config_entries.ConfigEntry) -> config_entries.OptionsFlow:
         """Get the options flow for this handler."""
-        return OptionsFlowHandler(config_entry)
+        return OptionsFlowHandler()
 
 
 class OptionsFlowHandler(config_entries.OptionsFlow):
     """Handle options flow."""
 
-    def __init__(self, config_entry: config_entries.ConfigEntry) -> None:
+    def __init__(self) -> None:
         """Initialize options flow."""
-        self.config_entry = config_entry
+        self._errors = {}
+        self._selected_provider = None
 
-    async def async_step_init(self, user_input: Optional[Dict[str, Any]] = None) -> FlowResult:
-        """Manage the options."""
-        if user_input is not None:
-            return self.async_create_entry(title="", data=user_input)
+    def _get_default_endpoint(self, provider: str) -> str:
+        """Get default endpoint for provider."""
+        return {
+            API_PROVIDER_OPENAI: DEFAULT_OPENAI_ENDPOINT,
+            API_PROVIDER_ANTHROPIC: DEFAULT_ANTHROPIC_ENDPOINT,
+            API_PROVIDER_DEEPSEEK: DEFAULT_DEEPSEEK_ENDPOINT,
+            API_PROVIDER_GEMINI: DEFAULT_GEMINI_ENDPOINT,
+        }.get(provider, DEFAULT_OPENAI_ENDPOINT)
 
-        current_data = {**self.config_entry.data, **self.config_entry.options}
-        provider = current_data.get(CONF_API_PROVIDER)
-
-        default_model = (
+    def _get_default_model(self, provider: str) -> str:
+        """Get default model for provider."""
+        return (
             DEFAULT_DEEPSEEK_MODEL if provider == API_PROVIDER_DEEPSEEK else
             DEFAULT_GEMINI_MODEL if provider == API_PROVIDER_GEMINI else
             DEFAULT_MODEL
         )
 
+    def _get_api_headers(self, api_key: str, provider: str) -> Dict[str, str]:
+        """Get API headers based on provider."""
+        if provider == API_PROVIDER_ANTHROPIC:
+            return {
+                "x-api-key": api_key,
+                "anthropic-version": "2023-06-01",
+                "Content-Type": "application/json"
+            }
+        return {
+            "Authorization": f"Bearer {api_key}",
+            "Content-Type": "application/json"
+        }
+
+    async def _async_validate_api(self, provider: str, api_key: str, endpoint: str) -> bool:
+        """Validate API connection."""
+        try:
+            if not api_key:
+                self._errors["base"] = "invalid_auth"
+                return False
+
+            # For Gemini, just check if API key is present
+            if provider == API_PROVIDER_GEMINI:
+                return True
+
+            session = async_get_clientsession(self.hass)
+            headers = self._get_api_headers(api_key, provider)
+            endpoint = endpoint.rstrip('/')
+
+            check_url = (
+                f"{endpoint}/v1/models" if provider == API_PROVIDER_ANTHROPIC
+                else f"{endpoint}/models"
+            )
+
+            async with session.get(check_url, headers=headers) as response:
+                if response.status == 401:
+                    self._errors["base"] = "invalid_auth"
+                    return False
+                elif response.status not in [200, 404]:
+                    self._errors["base"] = "cannot_connect"
+                    return False
+                return True
+
+        except Exception as err:
+            _LOGGER.error("API validation error: %s", str(err))
+            self._errors["base"] = "cannot_connect"
+            return False
+
+    async def async_step_init(self, user_input: Optional[Dict[str, Any]] = None) -> FlowResult:
+        """Handle provider selection step."""
+        current_data = {**self.config_entry.data, **self.config_entry.options}
+        current_provider = current_data.get(CONF_API_PROVIDER, API_PROVIDER_OPENAI)
+
+        if user_input is not None:
+            self._selected_provider = user_input.get(CONF_API_PROVIDER, current_provider)
+            return await self.async_step_settings()
+
         return self.async_show_form(
             step_id="init",
             data_schema=vol.Schema({
-                vol.Optional(
-                    CONF_MODEL,
-                    default=current_data.get(CONF_MODEL, default_model)
-                ): str,
-                vol.Optional(
-                    CONF_TEMPERATURE,
-                    default=current_data.get(CONF_TEMPERATURE, DEFAULT_TEMPERATURE)
-                ): vol.All(
-                    vol.Coerce(float),
-                    vol.Range(min=MIN_TEMPERATURE, max=MAX_TEMPERATURE)
-                ),
-                vol.Optional(
-                    CONF_MAX_TOKENS,
-                    default=current_data.get(CONF_MAX_TOKENS, DEFAULT_MAX_TOKENS)
-                ): vol.All(
-                    vol.Coerce(int),
-                    vol.Range(min=MIN_MAX_TOKENS, max=MAX_MAX_TOKENS)
-                ),
-                vol.Optional(
-                    CONF_REQUEST_INTERVAL,
-                    default=current_data.get(CONF_REQUEST_INTERVAL, DEFAULT_REQUEST_INTERVAL)
-                ): vol.All(
-                    vol.Coerce(float),
-                    vol.Range(min=MIN_REQUEST_INTERVAL)
-                ),
-                vol.Optional(
-                    CONF_API_TIMEOUT,
-                    default=current_data.get(CONF_API_TIMEOUT, DEFAULT_API_TIMEOUT)
-                ): vol.All(
-                    vol.Coerce(int),
-                    vol.Range(min=MIN_API_TIMEOUT, max=MAX_API_TIMEOUT)
-                ),
-                vol.Optional(
-                    CONF_CONTEXT_MESSAGES,
-                    default=current_data.get(
-                        CONF_CONTEXT_MESSAGES,
-                        DEFAULT_CONTEXT_MESSAGES
+                vol.Required(
+                    CONF_API_PROVIDER,
+                    default=current_provider
+                ): selector.SelectSelector(
+                    selector.SelectSelectorConfig(
+                        options=API_PROVIDERS,
+                        translation_key="api_provider"
                     )
-                ): vol.All(
-                    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)
-                ),
-            })
+            }),
+            description_placeholders={
+                "current_provider": current_provider
+            }
         )
+
+    async def async_step_settings(self, user_input: Optional[Dict[str, Any]] = None) -> FlowResult:
+        """Handle settings configuration step."""
+        self._errors = {}
+        current_data = {**self.config_entry.data, **self.config_entry.options}
+        provider = self._selected_provider or current_data.get(CONF_API_PROVIDER, API_PROVIDER_OPENAI)
+
+        # Determine if provider changed to show appropriate defaults
+        provider_changed = provider != current_data.get(CONF_API_PROVIDER)
+
+        # Use new defaults if provider changed, otherwise use current values
+        if provider_changed:
+            default_endpoint = self._get_default_endpoint(provider)
+            default_model = self._get_default_model(provider)
+        else:
+            default_endpoint = current_data.get(CONF_API_ENDPOINT, self._get_default_endpoint(provider))
+            default_model = current_data.get(CONF_MODEL, self._get_default_model(provider))
+
+        if user_input is not None:
+            # Validate API connection
+            api_key = user_input.get(CONF_API_KEY, current_data.get(CONF_API_KEY, ""))
+            endpoint = user_input.get(CONF_API_ENDPOINT, default_endpoint)
+
+            if await self._async_validate_api(provider, api_key, endpoint):
+                # Merge with provider selection
+                final_data = {
+                    CONF_API_PROVIDER: provider,
+                    **user_input
+                }
+                return self.async_create_entry(title="", data=final_data)
+
+            # Show form again with errors
+            return self.async_show_form(
+                step_id="settings",
+                data_schema=self._get_settings_schema(
+                    provider=provider,
+                    current_data=current_data,
+                    user_input=user_input,
+                    default_endpoint=default_endpoint,
+                    default_model=default_model,
+                ),
+                errors=self._errors
+            )
+
+        return self.async_show_form(
+            step_id="settings",
+            data_schema=self._get_settings_schema(
+                provider=provider,
+                current_data=current_data,
+                user_input=None,
+                default_endpoint=default_endpoint,
+                default_model=default_model,
+            ),
+            description_placeholders={
+                "provider": provider
+            }
+        )
+
+    def _get_settings_schema(
+        self,
+        provider: str,
+        current_data: Dict[str, Any],
+        user_input: Optional[Dict[str, Any]],
+        default_endpoint: str,
+        default_model: str,
+    ) -> vol.Schema:
+        """Build settings schema."""
+        data = user_input or current_data
+
+        return vol.Schema({
+            vol.Required(
+                CONF_API_KEY,
+                default=data.get(CONF_API_KEY, "")
+            ): str,
+            vol.Required(
+                CONF_API_ENDPOINT,
+                default=data.get(CONF_API_ENDPOINT, default_endpoint)
+            ): str,
+            vol.Required(
+                CONF_MODEL,
+                default=data.get(CONF_MODEL, default_model)
+            ): str,
+            vol.Optional(
+                CONF_TEMPERATURE,
+                default=data.get(CONF_TEMPERATURE, DEFAULT_TEMPERATURE)
+            ): vol.All(
+                vol.Coerce(float),
+                vol.Range(min=MIN_TEMPERATURE, max=MAX_TEMPERATURE)
+            ),
+            vol.Optional(
+                CONF_MAX_TOKENS,
+                default=data.get(CONF_MAX_TOKENS, DEFAULT_MAX_TOKENS)
+            ): vol.All(
+                vol.Coerce(int),
+                vol.Range(min=MIN_MAX_TOKENS, max=MAX_MAX_TOKENS)
+            ),
+            vol.Optional(
+                CONF_REQUEST_INTERVAL,
+                default=data.get(CONF_REQUEST_INTERVAL, DEFAULT_REQUEST_INTERVAL)
+            ): vol.All(
+                vol.Coerce(float),
+                vol.Range(min=MIN_REQUEST_INTERVAL)
+            ),
+            vol.Optional(
+                CONF_API_TIMEOUT,
+                default=data.get(CONF_API_TIMEOUT, DEFAULT_API_TIMEOUT)
+            ): vol.All(
+                vol.Coerce(int),
+                vol.Range(min=MIN_API_TIMEOUT, max=MAX_API_TIMEOUT)
+            ),
+            vol.Optional(
+                CONF_CONTEXT_MESSAGES,
+                default=data.get(CONF_CONTEXT_MESSAGES, DEFAULT_CONTEXT_MESSAGES)
+            ): vol.All(
+                vol.Coerce(int),
+                vol.Range(min=1, max=20)
+            ),
+            vol.Optional(
+                CONF_MAX_HISTORY_SIZE,
+                default=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

@@ -66,6 +66,8 @@ CONF_INSTANCE: Final = "instance"
 CONF_MAX_HISTORY_SIZE: Final = "max_history_size"  # Correct constant name
 CONF_IS_ANTHROPIC: Final = "is_anthropic"
 CONF_CONTEXT_MESSAGES: Final = "context_messages"
+CONF_STRUCTURED_OUTPUT: Final = "structured_output"
+CONF_JSON_SCHEMA: Final = "json_schema"
 
 ABSOLUTE_MAX_HISTORY_SIZE = 500
 MAX_ATTRIBUTE_SIZE = 4 * 1024
@@ -199,7 +201,9 @@ SERVICE_SCHEMA_ASK_QUESTION = vol.Schema({
     vol.Optional("context_messages"): vol.All(
         vol.Coerce(int),
         vol.Range(min=1, max=20)
-    )
+    ),
+    vol.Optional(CONF_STRUCTURED_OUTPUT, default=False): cv.boolean,
+    vol.Optional(CONF_JSON_SCHEMA): cv.string,
 })
 
 SERVICE_SCHEMA_SET_SYSTEM_PROMPT = vol.Schema({

custom_components/ha_text_ai/coordinator.py

@@ -189,16 +189,10 @@ class HATextAICoordinator(DataUpdateCoordinator):
         # Maximum history file size (1 MB) from const.py
         self._max_history_file_size = MAX_HISTORY_FILE_SIZE
 
-        # Asynchronous file initialization
-        hass.async_create_task(self.async_initialize_history_file())
+        self.context_messages = context_messages
 
         _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
-
     @property
     def last_response(self) -> Dict[str, Any]:
         """
@@ -826,6 +820,8 @@ class HATextAICoordinator(DataUpdateCoordinator):
         max_tokens: Optional[int] = None,
         system_prompt: Optional[str] = None,
         context_messages: Optional[int] = None,
+        structured_output: bool = False,
+        json_schema: Optional[str] = None,
     ) -> dict:
         """
         Process a question with optional parameters.
@@ -841,12 +837,15 @@ class HATextAICoordinator(DataUpdateCoordinator):
             max_tokens: Optional maximum response length
             system_prompt: Optional system-level instruction
             context_messages: Optional number of context messages to include
+            structured_output: Enable JSON structured output mode
+            json_schema: JSON Schema for structured output validation
 
         Returns:
             Full response dictionary from the AI
         """
         return await self.async_process_question(
-            question, model, temperature, max_tokens, system_prompt, context_messages
+            question, model, temperature, max_tokens, system_prompt, context_messages,
+            structured_output, json_schema
         )
 
     async def async_process_question(
@@ -857,6 +856,8 @@ class HATextAICoordinator(DataUpdateCoordinator):
             max_tokens: Optional[int] = None,
             system_prompt: Optional[str] = None,
             context_messages: Optional[int] = None,
+            structured_output: bool = False,
+            json_schema: Optional[str] = None,
         ) -> dict:
             """Process question with context management."""
             if self.client is None:
@@ -895,6 +896,8 @@ class HATextAICoordinator(DataUpdateCoordinator):
                     "temperature": temp_temperature,
                     "max_tokens": temp_max_tokens,
                     "messages": messages,
+                    "structured_output": structured_output,
+                    "json_schema": json_schema,
                 }
 
                 response = await self.async_process_message(question, **kwargs)
@@ -909,7 +912,7 @@ class HATextAICoordinator(DataUpdateCoordinator):
                 return response
 
             except Exception as err:
-                self._handle_error(err)
+                await self._handle_error(err)
                 raise HomeAssistantError(f"Failed to process question: {err}")
 
             finally:
@@ -919,11 +922,15 @@ class HATextAICoordinator(DataUpdateCoordinator):
     async def async_process_message(self, question: str, **kwargs) -> dict:
         """Process message using the AI client."""
         try:
+            structured_output = kwargs.pop("structured_output", False)
+            json_schema = kwargs.pop("json_schema", None)
+            
             async with asyncio.timeout(self.api_timeout):
-                if self.is_anthropic:
-                    response = await self._process_anthropic_message(question, **kwargs)
-                else:
-                    response = await self._process_openai_message(question, **kwargs)
+                # APIClient.create() handles provider routing internally
+                response = await self._process_openai_message(
+                    question, structured_output=structured_output,
+                    json_schema=json_schema, **kwargs
+                )
 
             # Add timestamp and model information to response
             timestamp = dt_util.utcnow().isoformat()
@@ -959,30 +966,8 @@ class HATextAICoordinator(DataUpdateCoordinator):
             await self._handle_error(err)
             raise
 
-    async def _process_anthropic_message(self, question: str, **kwargs) -> dict:
-        """Process message using Anthropic API."""
-        try:
-            _LOGGER.debug(f"Anthropic API call: model={kwargs['model']}, max_tokens={kwargs['max_tokens']}")
-            response = await self.client.messages.create(
-                model=kwargs["model"],
-                max_tokens=kwargs["max_tokens"],
-                messages=kwargs["messages"],
-                temperature=kwargs["temperature"],
-            )
-            _LOGGER.debug(f"Anthropic response: tokens={response.usage}")
-            return {
-                "content": response.content[0].text,
-                "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:
+    async def _process_openai_message(self, question: str, structured_output: bool = False,
+                                       json_schema: Optional[str] = None, **kwargs) -> dict:
         """Process message using OpenAI API."""
         try:
             response = await self.client.create(
@@ -990,6 +975,8 @@ class HATextAICoordinator(DataUpdateCoordinator):
                 messages=kwargs["messages"],
                 temperature=kwargs["temperature"],
                 max_tokens=kwargs["max_tokens"],
+                structured_output=structured_output,
+                json_schema=json_schema,
             )
 
             return {

custom_components/ha_text_ai/manifest.json

@@ -14,16 +14,17 @@
   "mqtt": [],
   "quality_scale": "silver",
   "requirements": [
-    "openai>=1.12.0",
-    "anthropic>=0.8.0",
-    "google-genai>=1.16.0",
+    "aiofiles>=23.0.0",
     "aiohttp>=3.8.0",
+    "anthropic>=0.8.0",
     "async-timeout>=4.0.0",
-    "certifi>=2024.2.2"
+    "certifi>=2024.2.2",
+    "google-genai>=1.16.0",
+    "openai>=1.12.0"
   ],
   "single_config_entry": false,
   "ssdp": [],
   "usb": [],
-  "version": "2.2.0",
+  "version": "2.3.0",
   "zeroconf": []
 }

custom_components/ha_text_ai/services.yaml

@@ -74,6 +74,24 @@ ask_question:
           step: 1
           mode: box
 
+    structured_output:
+      name: Structured Output
+      description: Enable JSON structured output mode. When enabled, the AI will respond with valid JSON matching the provided schema.
+      required: false
+      default: false
+      selector:
+        boolean: {}
+
+    json_schema:
+      name: JSON Schema
+      description: >-
+        JSON Schema defining the structure of the expected response.
+        Required when structured_output is enabled.
+      required: false
+      selector:
+        text:
+          multiline: true
+
 clear_history:
   name: Clear History
   description: >-
@@ -135,7 +153,7 @@ get_history:
       required: false
       default: false
       selector:
-        boolean:
+        boolean: {}
 
     sort_order:
       name: Sort Order

custom_components/ha_text_ai/translations/de.json

@@ -74,13 +74,22 @@
   "options": {
     "step": {
       "init": {
-        "title": "Instanzeinstellungen aktualisieren",
-        "description": "Ändern Sie die Einstellungen für diese AI-Assistenteninstanz.",
+        "title": "Anbieter auswählen",
+        "description": "Wählen Sie den AI-Anbieter für diese Instanz. Die Integration wird nach dem Speichern der Änderungen neu geladen.",
         "data": {
+          "api_provider": "API-Anbieter"
+        }
+      },
+      "settings": {
+        "title": "Verbindungs- und Modelleinstellungen",
+        "description": "Konfigurieren Sie API-Anmeldeinformationen und Modellparameter. Änderungen werden nach dem Neuladen der Integration wirksam.",
+        "data": {
+          "api_key": "API-Schlüssel",
+          "api_endpoint": "API-Endpunkt-URL",
           "model": "AI-Modell",
           "temperature": "Kreativität der Antwort (0-2)",
           "max_tokens": "Maximale Länge der Antwort (1-100000)",
-          "request_interval": "Minimale Anfrageintervall (0,1-60 Sekunden)",
+          "request_interval": "Minimales Anfrageintervall (0,1-60 Sekunden)",
           "api_timeout": "API-Anfrage Timeout in Sekunden (5-600)",
           "context_messages": "Anzahl der vorherigen Nachrichten, die im Kontext enthalten sein sollen (1-20)",
           "max_history_size": "Maximale Größe des Gesprächsverlaufs (1-100)"
@@ -130,6 +139,14 @@
         "max_tokens": {
           "name": "Max Tokens",
           "description": "Maximale Länge der Antwort (1-100000 Token)"
+        },
+        "structured_output": {
+          "name": "Strukturierte Ausgabe",
+          "description": "JSON-Strukturausgabemodus aktivieren. Bei Aktivierung antwortet die KI mit gültigem JSON, das dem angegebenen Schema entspricht."
+        },
+        "json_schema": {
+          "name": "JSON-Schema",
+          "description": "JSON-Schema, das die Struktur der erwarteten Antwort definiert. Erforderlich wenn structured_output aktiviert ist."
         }
       }
     },

custom_components/ha_text_ai/translations/en.json

@@ -74,9 +74,18 @@
   "options": {
     "step": {
       "init": {
-        "title": "Update Instance Settings",
-        "description": "Modify settings for this AI assistant instance.",
+        "title": "Select Provider",
+        "description": "Choose the AI provider for this instance. The integration will reload after saving changes.",
         "data": {
+          "api_provider": "API Provider"
+        }
+      },
+      "settings": {
+        "title": "Connection & Model Settings",
+        "description": "Configure API credentials and model parameters. Changes will take effect after the integration reloads.",
+        "data": {
+          "api_key": "API Key",
+          "api_endpoint": "API Endpoint URL",
           "model": "AI model",
           "temperature": "Response creativity (0-2)",
           "max_tokens": "Maximum response length (1-100000)",
@@ -130,6 +139,14 @@
         "max_tokens": {
           "name": "Max Tokens",
           "description": "Maximum length of the response (1-100000 tokens)"
+        },
+        "structured_output": {
+          "name": "Structured Output",
+          "description": "Enable JSON structured output mode. When enabled, the AI will respond with valid JSON matching the provided schema."
+        },
+        "json_schema": {
+          "name": "JSON Schema",
+          "description": "JSON Schema defining the structure of the expected response. Required when structured_output is enabled."
         }
       }
     },

custom_components/ha_text_ai/translations/es.json

@@ -74,9 +74,18 @@
   "options": {
     "step": {
       "init": {
-        "title": "Actualizar configuración de la instancia",
-        "description": "Modifica la configuración para esta instancia de asistente de IA.",
+        "title": "Seleccionar proveedor",
+        "description": "Elige el proveedor de IA para esta instancia. La integración se recargará después de guardar los cambios.",
         "data": {
+          "api_provider": "Proveedor de API"
+        }
+      },
+      "settings": {
+        "title": "Configuración de conexión y modelo",
+        "description": "Configura las credenciales de API y los parámetros del modelo. Los cambios tendrán efecto después de recargar la integración.",
+        "data": {
+          "api_key": "Clave API",
+          "api_endpoint": "URL del endpoint de API",
           "model": "Modelo de IA",
           "temperature": "Creatividad de la respuesta (0-2)",
           "max_tokens": "Longitud máxima de la respuesta (1-100000)",
@@ -130,6 +139,14 @@
         "max_tokens": {
           "name": "Máx. Tokens",
           "description": "Longitud máxima de la respuesta (1-100000 tokens)"
+        },
+        "structured_output": {
+          "name": "Salida Estructurada",
+          "description": "Habilitar modo de salida JSON estructurada. Cuando está habilitado, la IA responderá con JSON válido que coincida con el esquema proporcionado."
+        },
+        "json_schema": {
+          "name": "Esquema JSON",
+          "description": "Esquema JSON que define la estructura de la respuesta esperada. Requerido cuando structured_output está habilitado."
         }
       }
     },

custom_components/ha_text_ai/translations/hi.json

@@ -65,9 +65,18 @@
   "options": {
     "step": {
       "init": {
-        "title": "उदाहरण सेटिंग्स अपडेट करें",
-        "description": "इस एआई सहायक उदाहरण के लिए सेटिंग्स संशोधित करें।",
+        "title": "प्रदाता चुनें",
+        "description": "इस उदाहरण के लिए एआई प्रदाता चुनें। परिवर्तन सहेजने के बाद एकीकरण पुनः लोड होगा।",
         "data": {
+          "api_provider": "एपीआई प्रदाता"
+        }
+      },
+      "settings": {
+        "title": "कनेक्शन और मॉडल सेटिंग्स",
+        "description": "एपीआई क्रेडेंशियल और मॉडल पैरामीटर कॉन्फ़िगर करें। एकीकरण पुनः लोड होने के बाद परिवर्तन प्रभावी होंगे।",
+        "data": {
+          "api_key": "एपीआई कुंजी",
+          "api_endpoint": "एपीआई एंडपॉइंट यूआरएल",
           "model": "एआई मॉडल",
           "temperature": "प्रतिक्रिया की रचनात्मकता (0-2)",
           "max_tokens": "प्रतिक्रिया की अधिकतम लंबाई (1-100000)",
@@ -121,6 +130,14 @@
         "max_tokens": {
           "name": "अधिकतम टोकन",
           "description": "प्रतिक्रिया की अधिकतम लंबाई (1-100000 टोकन)"
+        },
+        "structured_output": {
+          "name": "संरचित आउटपुट",
+          "description": "JSON संरचित आउटपुट मोड सक्षम करें। सक्षम होने पर, AI प्रदान किए गए स्कीमा से मेल खाने वाले वैध JSON के साथ प्रतिक्रिया देगा।"
+        },
+        "json_schema": {
+          "name": "JSON स्कीमा",
+          "description": "अपेक्षित प्रतिक्रिया की संरचना को परिभाषित करने वाला JSON स्कीमा। structured_output सक्षम होने पर आवश्यक।"
         }
       }
     },

custom_components/ha_text_ai/translations/it.json

@@ -74,9 +74,18 @@
   "options": {
     "step": {
       "init": {
-        "title": "Aggiorna impostazioni dell'istanza",
-        "description": "Modifica le impostazioni per questa istanza di assistente AI.",
+        "title": "Seleziona fornitore",
+        "description": "Scegli il fornitore AI per questa istanza. L'integrazione verrà ricaricata dopo aver salvato le modifiche.",
         "data": {
+          "api_provider": "Fornitore API"
+        }
+      },
+      "settings": {
+        "title": "Impostazioni di connessione e modello",
+        "description": "Configura le credenziali API e i parametri del modello. Le modifiche avranno effetto dopo il ricaricamento dell'integrazione.",
+        "data": {
+          "api_key": "Chiave API",
+          "api_endpoint": "URL dell'endpoint API",
           "model": "Modello AI",
           "temperature": "Creatività della risposta (0-2)",
           "max_tokens": "Lunghezza massima della risposta (1-100000)",
@@ -130,6 +139,14 @@
         "max_tokens": {
           "name": "Token massimi",
           "description": "Lunghezza massima della risposta (1-100000 token)"
+        },
+        "structured_output": {
+          "name": "Output Strutturato",
+          "description": "Abilita la modalità di output JSON strutturato. Quando abilitato, l'IA risponderà con JSON valido corrispondente allo schema fornito."
+        },
+        "json_schema": {
+          "name": "Schema JSON",
+          "description": "Schema JSON che definisce la struttura della risposta attesa. Richiesto quando structured_output è abilitato."
         }
       }
     },

custom_components/ha_text_ai/translations/ru.json

@@ -74,9 +74,18 @@
   "options": {
     "step": {
       "init": {
-        "title": "Обновление настроек экземпляра",
-        "description": "Измените настройки для этого экземпляра ИИ-помощника.",
+        "title": "Выбор провайдера",
+        "description": "Выберите провайдера ИИ для этого экземпляра. Интеграция перезагрузится после сохранения изменений.",
         "data": {
+          "api_provider": "Провайдер API"
+        }
+      },
+      "settings": {
+        "title": "Настройки подключения и модели",
+        "description": "Настройте учётные данные API и параметры модели. Изменения вступят в силу после перезагрузки интеграции.",
+        "data": {
+          "api_key": "API-ключ",
+          "api_endpoint": "URL конечной точки API",
           "model": "Модель ИИ",
           "temperature": "Креативность ответа (0-2)",
           "max_tokens": "Максимальная длина ответа (1-100000)",
@@ -130,6 +139,14 @@
         "max_tokens": {
           "name": "Максимум токенов",
           "description": "Максимальная длина ответа (1-100000 токенов)"
+        },
+        "structured_output": {
+          "name": "Структурированный вывод",
+          "description": "Включить режим структурированного JSON-вывода. При включении ИИ будет отвечать валидным JSON, соответствующим указанной схеме."
+        },
+        "json_schema": {
+          "name": "JSON Schema",
+          "description": "JSON-схема, определяющая структуру ожидаемого ответа. Обязательна при включении structured_output."
         }
       }
     },

custom_components/ha_text_ai/translations/sr.json

@@ -65,9 +65,18 @@
   "options": {
     "step": {
       "init": {
-        "title": "Ажурирајте подешавања инстанце",
-        "description": "Измените подешавања за ову AI асистент инстанцу.",
+        "title": "Изаберите провајдера",
+        "description": "Изаберите AI провајдера за ову инстанцу. Интеграција ће се поново учитати након чувања измена.",
         "data": {
+          "api_provider": "API провајдер"
+        }
+      },
+      "settings": {
+        "title": "Подешавања везе и модела",
+        "description": "Конфигуришите API акредитиве и параметре модела. Промене ће ступити на снагу након поновног учитавања интеграције.",
+        "data": {
+          "api_key": "API кључ",
+          "api_endpoint": "URL API крајње тачке",
           "model": "AI модел",
           "temperature": "Креативност одговора (0-2)",
           "max_tokens": "Максимална дужина одговора (1-100000)",
@@ -121,6 +130,14 @@
         "max_tokens": {
           "name": "Максимални токени",
           "description": "Максимална дужина одговора (1-100000 токена)"
+        },
+        "structured_output": {
+          "name": "Структурисани излаз",
+          "description": "Омогући JSON структурисани излаз. Када је омогућено, AI ће одговарати валидним JSON-ом који одговара датој шеми."
+        },
+        "json_schema": {
+          "name": "JSON шема",
+          "description": "JSON шема која дефинише структуру очекиваног одговора. Обавезна када је structured_output омогућен."
         }
       }
     },

custom_components/ha_text_ai/translations/zh.json

@@ -65,9 +65,18 @@
   "options": {
     "step": {
       "init": {
-        "title": "更新实例设置",
-        "description": "修改此AI助手实例的设置。",
+        "title": "选择提供者",
+        "description": "选择此实例的AI提供者。保存更改后集成将重新加载。",
         "data": {
+          "api_provider": "API提供者"
+        }
+      },
+      "settings": {
+        "title": "连接和模型设置",
+        "description": "配置API凭据和模型参数。更改将在集成重新加载后生效。",
+        "data": {
+          "api_key": "API密钥",
+          "api_endpoint": "API端点URL",
           "model": "AI模型",
           "temperature": "响应创造力（0-2）",
           "max_tokens": "最大响应长度（1-100000）",
@@ -121,6 +130,14 @@
         "max_tokens": {
           "name": "最大标记数",
           "description": "响应的最大长度（1-100000个标记）"
+        },
+        "structured_output": {
+          "name": "结构化输出",
+          "description": "启用JSON结构化输出模式。启用后，AI将以符合提供的模式的有效JSON进行响应。"
+        },
+        "json_schema": {
+          "name": "JSON模式",
+          "description": "定义预期响应结构的JSON模式。启用structured_output时必需。"
         }
       }
     },