- Update OpenAI models to GPT-5 and GPT-5 mini
- Update Anthropic Claude models to 4.1, 4.0 series
- Update DeepSeek models to V3.1 and R1
- Update Google Gemini models to 2.5 and 2.0 series
- Modernize model descriptions and capabilities
- Simplify HACS installation instructions
- Update recommended models section (remove year from title)
- Update Claude model names to current format (claude-3.5-sonnet, claude-3.5-haiku)
- Add missing parameters to get_history service documentation
- Remove non-configurable history_file_size parameter from table
- Add missing context_messages parameter to configuration table
- Update all model references in examples to use current naming
- Update default model from gpt-4o to gpt-4o-mini
- Update default temperature from 0.7 to 0.1
- Update default max_history_size from 100 to 50
- Add gemini-2.0-flash as latest recommended Gemini model
- Fix logo image link to use main branch instead of specific commit
- Update configuration parameters table with current defaults
Home Assistant's hassfest validation does not support 'response' section in services.yaml.
The response_variable functionality still works through supports_response=True flag in service registration.
Fixes hassfest validation error: extra keys not allowed @ data['ask_question']['response']
- 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
- Removed target blocks from all services in services.yaml
- Services now work as global services without requiring device/area/entity selection
- Users can call services directly with only required parameters
- Fixes issue #2 where services incorrectly required target selection after v2.1.8 update
- Remove invalid response schema from ask_question service
- Add required target configuration for all services
- Ensure compliance with Home Assistant service schema requirements
🚀 Major Features:
- Add response variables support to ask_question service
- Eliminate 255-character limitation for AI responses
- Enable direct data access in automations without sensors
- Prevent race conditions in parallel automations
🔧 Production Code Audit & Fixes:
- Enhanced resource management with context managers in api_client.py
- Fixed critical race conditions with asyncio.Semaphore implementation
- Improved file operations with atomic writes and corruption handling
- Enhanced error handling and logging security (removed sensitive data)
- Fixed _check_memory_available method placement in coordinator.py
🌐 Translation Updates (8 languages):
- Updated all translation files with response variables information
- Enhanced service descriptions in: en, ru, de, es, it, hi, sr, zh
- Added information about direct response capability
- Maintained consistency across all language files
📚 Documentation Enhancements:
- Added comprehensive Response Variables section to README
- Created advanced automation examples with response_variable usage
- Added migration guide from sensors to response variables
- Enhanced service documentation with response data structure
- Added practical examples for multi-step AI workflows
🔄 Service Improvements:
- Enhanced ask_question service to return structured response data
- Added comprehensive response schema in services.yaml
- Improved error handling with success/failure indicators
- Added metadata support (tokens, model, timestamp)
�� Version & Manifest:
- Bumped version to 2.1.8
- Maintained compatibility with existing integrations
- Updated service documentation
This release addresses GitHub issue #2 and significantly improves the integration's
production readiness while adding powerful new response variable functionality.
Completely rewrote the Google Gemini integration logic based on google-genai 1.16.0 to fix issue #6.
Key changes:
- Updated to the latest google-genai library
- Made API endpoint abstract while retaining option for custom endpoint configuration
- Refactored logic and classes exclusively within Google Gemini implementation
- All changes are limited to Google Gemini integration refactoring with no impact on other functionality.
Completely rewrote the Google Gemini integration logic based on google-genai 1.16.0 to fix issue #6.
Key changes:
- Updated to the latest google-genai library
- Made API endpoint abstract while retaining option for custom endpoint configuration
- Refactored logic and classes exclusively within Google Gemini implementation
- All changes are limited to Google Gemini integration refactoring with no impact on other functionality.
- Change JSON field names from camelCase to snake_case as required by Gemini API
(generation_config, max_output_tokens, system_instruction)
- Improve message handling to ensure proper role alternation (user/model)
- Add safety checks for empty contents and ensure first message is always from user
- Implement robust error handling and response parsing
- Handle edge cases where candidatesTokenCount might be returned as a list
Fixes#6
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