feat: Implement response variables support and comprehensive production audit (v2.1.8)

🚀 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.
This commit is contained in:
SMKRV
2025-09-01 17:14:23 +03:00
parent 76c5629fa0
commit e427254584
14 changed files with 347 additions and 75 deletions
+29 -4
View File
@@ -112,11 +112,11 @@ async def async_setup(hass: HomeAssistant, config: ConfigType) -> bool:
# Initialize domain data storage
hass.data.setdefault(DOMAIN, {})
async def async_ask_question(call: ServiceCall) -> None:
"""Handle ask_question service."""
async def async_ask_question(call: ServiceCall) -> dict:
"""Handle ask_question service with response data."""
try:
coordinator = get_coordinator_by_instance(hass, call.data["instance"])
await coordinator.async_ask_question(
response = await coordinator.async_ask_question(
question=call.data["question"],
model=call.data.get("model"),
temperature=call.data.get("temperature"),
@@ -124,9 +124,34 @@ async def async_setup(hass: HomeAssistant, config: ConfigType) -> bool:
system_prompt=call.data.get("system_prompt"),
context_messages=call.data.get("context_messages"),
)
# Return structured response data
return {
"response_text": response.get("content", ""),
"tokens_used": response.get("tokens", {}).get("total", 0),
"prompt_tokens": response.get("tokens", {}).get("prompt", 0),
"completion_tokens": response.get("tokens", {}).get("completion", 0),
"model_used": response.get("model", call.data.get("model", coordinator.model)),
"instance": call.data["instance"],
"question": call.data["question"],
"timestamp": response.get("timestamp"),
"success": True
}
except Exception as err:
_LOGGER.error("Error asking question: %s", str(err))
raise HomeAssistantError(f"Failed to process question: {str(err)}")
# Return error response
return {
"response_text": "",
"tokens_used": 0,
"prompt_tokens": 0,
"completion_tokens": 0,
"model_used": call.data.get("model", ""),
"instance": call.data["instance"],
"question": call.data["question"],
"timestamp": datetime.now().isoformat(),
"success": False,
"error": str(err)
}
async def async_clear_history(call: ServiceCall) -> None:
"""Handle clear_history service."""