mirror of
https://github.com/smkrv/ha-text-ai.git
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🚀 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.
202 lines
5.2 KiB
YAML
202 lines
5.2 KiB
YAML
ask_question:
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name: Ask Question
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description: >-
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Send a question to the AI model and receive a detailed response.
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The response will be stored in the conversation history and can be retrieved later.
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This service now returns response data directly, eliminating the need to read from sensors.
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fields:
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instance:
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name: Instance
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description: Name of the HA Text AI instance to use
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required: true
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selector:
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entity:
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integration: ha_text_ai
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domain: sensor
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question:
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name: Question
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description: Your question or prompt for the AI assistant
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required: true
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selector:
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text:
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multiline: true
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type: text
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system_prompt:
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name: System Prompt
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description: Optional system prompt to set context for this specific question
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required: false
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selector:
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text:
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multiline: true
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context_messages:
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name: Context Messages
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description: Number of previous messages to include in context (1-20)
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required: false
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default: 5
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selector:
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number:
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min: 1
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max: 20
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step: 1
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mode: slider
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model:
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name: Model
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description: "Select AI model to use (optional, overrides default setting)"
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required: false
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selector:
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text: {}
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temperature:
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name: Temperature
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description: Controls response creativity (0.0-2.0)
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required: false
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default: 0.7
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selector:
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number:
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min: 0.0
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max: 2.0
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step: 0.1
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mode: slider
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max_tokens:
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name: Max Tokens
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description: Maximum length of the response (tokens)
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required: false
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default: 1000
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selector:
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number:
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min: 1
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max: 100000
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step: 1
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mode: box
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response:
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response_text:
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description: "Full AI response text (unlimited length)"
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example: "The answer to your question is..."
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tokens_used:
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description: "Total number of tokens consumed for this request"
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example: 150
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prompt_tokens:
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description: "Number of tokens used for the input prompt"
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example: 50
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completion_tokens:
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description: "Number of tokens used for the AI response"
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example: 100
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model_used:
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description: "AI model that generated the response"
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example: "gpt-4o-mini"
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instance:
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description: "Instance name that processed the request"
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example: "my_assistant"
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question:
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description: "The original question that was asked"
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example: "What is the weather like?"
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timestamp:
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description: "ISO timestamp when the response was generated"
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example: "2025-01-09T16:57:00.000Z"
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success:
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description: "Whether the request was successful"
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example: true
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error:
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description: "Error message if the request failed (only present when success is false)"
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example: "API rate limit exceeded"
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clear_history:
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name: Clear History
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description: >-
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Delete all stored questions and responses from the conversation history
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fields:
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instance:
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name: Instance
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description: Name of the HA Text AI instance to clear history for
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required: true
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selector:
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entity:
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integration: ha_text_ai
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domain: sensor
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get_history:
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name: Get History
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description: Retrieve conversation history with optional filtering and sorting
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fields:
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instance:
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name: Instance
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description: Name of the HA Text AI instance to get history from
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required: true
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selector:
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entity:
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integration: ha_text_ai
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domain: sensor
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limit:
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name: Limit
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description: Number of conversations to return (1-100)
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required: false
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default: 10
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selector:
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number:
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min: 1
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max: 100
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step: 1
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mode: box
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filter_model:
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name: Filter Model
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description: Filter conversations by specific AI model
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required: false
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selector:
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text:
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multiline: false
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start_date:
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name: Start Date
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description: Filter conversations starting from this date/time
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required: false
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selector:
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text:
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multiline: false
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include_metadata:
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name: Include Metadata
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description: Include additional information like tokens used, response time, etc.
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required: false
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default: false
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selector:
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boolean:
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sort_order:
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name: Sort Order
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description: Sort order for results (newest or oldest first)
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required: false
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default: newest
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selector:
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select:
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options:
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- newest
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- oldest
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set_system_prompt:
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name: Set System Prompt
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description: Set default system behavior instructions for all future conversations
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fields:
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instance:
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name: Instance
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description: Name of the HA Text AI instance to set system prompt for
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required: true
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selector:
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entity:
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integration: ha_text_ai
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domain: sensor
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prompt:
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name: System Prompt
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description: Instructions that define how the AI should behave and respond
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required: true
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selector:
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text:
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multiline: true
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