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fix: Add support for response_variable in ask_question service
- Added response schema definition in services.yaml for ask_question service - Set supports_response=True flag when registering the service - Fixed JSON syntax error in English translation file - Added comprehensive documentation with examples for response_variable usage - Users can now capture AI responses directly in variables without sensor delays Resolves issue where scripts failed with 'Script does not support response_variable' error
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# Using response_variable with HA Text AI
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After updating the HA Text AI integration, it now supports using the `response_variable` parameter in Home Assistant scripts and automations.
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## What Changed
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- Added response schema support in the `ha_text_ai.ask_question` service
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- Service is now correctly registered with `supports_response=True` flag
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- You can now use `response_variable` to capture AI response in a variable
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## Example Usage in Script
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```yaml
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action: ha_text_ai.ask_question
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data:
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context_messages: 0
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temperature: 0.7
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max_tokens: 1000
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instance: sensor.ha_text_ai_gemini
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question: "What time is it?"
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response_variable: ai_response
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```
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## Example Usage in Automation
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```yaml
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alias: "Get AI Response"
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trigger:
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- platform: state
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entity_id: input_boolean.ask_ai
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to: "on"
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action:
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- action: ha_text_ai.ask_question
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data:
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instance: sensor.ha_text_ai_gemini
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question: "What's the current weather?"
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temperature: 0.7
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max_tokens: 500
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response_variable: weather_response
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- action: notify.persistent_notification
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data:
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title: "AI Response"
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message: "{{ weather_response.response_text }}"
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```
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## Available Fields in response_variable
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When you use `response_variable`, you will receive an object with the following fields:
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- `response_text` (string) - The AI response text
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- `tokens_used` (integer) - Total number of tokens used
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- `prompt_tokens` (integer) - Number of tokens in the prompt
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- `completion_tokens` (integer) - Number of tokens in the completion
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- `model_used` (string) - The AI model that was used for the response
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- `instance` (string) - The instance name that was used
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- `question` (string) - The original question that was asked
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- `timestamp` (string) - ISO timestamp when the response was generated
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- `success` (boolean) - Whether the request was successful
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- `error` (string) - Error message if the request failed
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## Example Using Response Fields
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```yaml
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action:
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- action: ha_text_ai.ask_question
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data:
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instance: sensor.ha_text_ai_gemini
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question: "Tell me a joke"
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response_variable: joke_response
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- condition: template
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value_template: "{{ joke_response.success }}"
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- action: input_text.set_value
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target:
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entity_id: input_text.last_ai_response
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data:
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value: "{{ joke_response.response_text }}"
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- action: input_number.set_value
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target:
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entity_id: input_number.tokens_used
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data:
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value: "{{ joke_response.tokens_used }}"
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```
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## Error Handling
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```yaml
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action:
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- action: ha_text_ai.ask_question
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data:
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instance: sensor.ha_text_ai_gemini
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question: "Test question"
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response_variable: ai_result
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- choose:
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- conditions:
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- condition: template
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value_template: "{{ ai_result.success }}"
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sequence:
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- action: notify.mobile_app_phone
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data:
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title: "AI Response"
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message: "{{ ai_result.response_text }}"
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- conditions:
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- condition: template
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value_template: "{{ not ai_result.success }}"
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sequence:
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- action: notify.mobile_app_phone
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data:
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title: "AI Error"
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message: "Error: {{ ai_result.error }}"
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```
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## Migration from Old Approach
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**Old method (without response_variable):**
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```yaml
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# Ask question
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- action: ha_text_ai.ask_question
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data:
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instance: sensor.ha_text_ai_gemini
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question: "Hello!"
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# Wait and read response from sensor
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- delay: 00:00:05
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- action: notify.mobile_app_phone
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data:
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message: "{{ states('sensor.ha_text_ai_gemini') }}"
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```
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**New method (with response_variable):**
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```yaml
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# Ask question and get response immediately
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- action: ha_text_ai.ask_question
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data:
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instance: sensor.ha_text_ai_gemini
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question: "Hello!"
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response_variable: greeting_response
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- action: notify.mobile_app_phone
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data:
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message: "{{ greeting_response.response_text }}"
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```
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The new approach is more reliable as it doesn't require waiting and reading from the sensor.
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