AI Automation Suggester
An integration for Home Assistant that uses OpenAI's GPT models to analyze your newly added entities and suggest potential automations.
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Table of Contents
Background and Purpose
Managing and automating devices in a smart home can be complex, especially as the number of devices grows. The AI Automation Suggester integration aims to simplify this process by leveraging OpenAI's GPT models to analyze newly added entities in your Home Assistant setup and provide intelligent automation suggestions.
Features
- Automatic Analysis: Periodically scans for new entities and analyzes them using AI.
- Automation Suggestions: Provides clear and concise suggestions for potential automations.
- Manual Trigger: Allows you to manually trigger the AI analysis at any time.
- Persistent Notifications: Suggestions are delivered via Home Assistant's persistent notifications.
- Sensor Entity: Creates a sensor entity to display the status and suggestions.
- Configurable Scan Frequency: Set how often the integration scans for new entities.
- Supports OpenAI GPT Models: Uses OpenAI's GPT models for analysis.
Prerequisites
- Home Assistant: Version 2023.5 or later.
- OpenAI API Key: You need an OpenAI API key to use the AI processing.
Installation
Installing via HACS (Recommended)
The easiest way to install the AI Automation Suggester is through HACS (Home Assistant Community Store).
Step 1: Install HACS
If you haven't installed HACS yet, follow the official installation guide to set it up.
Step 2: Add Custom Repository
-
Open your Home Assistant instance.
-
Navigate to HACS in the sidebar.
-
Click on the Integrations tab.
-
Click on the three-dot menu (⋮) in the top right corner.
-
Select Custom repositories.
-
In the Add custom repository URL field, enter:
https://github.com/ITSpecialist111/ai_automation_suggester
-
In the Category dropdown, select Integration.
-
Click Add.
Step 3: Install the Integration
- After adding the repository, search for AI Automation Suggester in HACS.
- Click on the integration to view details.
- Click Download to install the integration.
Step 4: Restart Home Assistant
After installation, you need to restart Home Assistant for the integration to be recognized.
- Go to Settings > System > Restart.
- Click Restart and wait for Home Assistant to restart.
Manual Installation
If you prefer to install the integration manually, follow these steps:
-
Download the Integration
- Clone or download the
ai_automation_suggester
repository from GitHub.
-
Copy to Home Assistant
-
Place the ai_suggester
directory inside the custom_components
directory of your Home Assistant configuration folder.
-
Your directory structure should look like this:
└── config/
├── configuration.yaml
└── custom_components/
└── ai_suggester/
├── __init__.py
├── config_flow.py
├── const.py
├── coordinator.py
├── manifest.json
├── sensor.py
├── services.yaml
├── strings.json
└── translations/
└── en.json
-
If the custom_components
directory doesn't exist, create it.
-
Restart Home Assistant
- After copying the files, restart Home Assistant to recognize the new integration.
Configuration
1. Add the Integration via Home Assistant UI
- Navigate to Settings > Devices & Services.
- Click on Add Integration.
- Search for AI Automation Suggester and select it.
2. Configure the Integration
- Scan Frequency (hours): Set how often (in hours) the integration scans for new entities. Default is
24
hours.
- OpenAI API Key: Enter your OpenAI API key.
- Scan Frequency (hours): Scan Frequency (hours): Set how often (in hours) the integration scans for new entities. Default is 24 hours. Set to 0 to disable automatic scanning.
- Initial Lag Time: Initial Lag Time (minutes): Set a delay before initial suggestions are generated after setup. Default is 10 minutes.
- OpenAI API Key: Enter your OpenAI API key.
3. Obtain an OpenAI API Key
- Log in or sign up at the OpenAI Platform.
- Navigate to the API Keys page.
- Click on Create new secret key and copy the key.
- Important: Keep your API key secure and do not share it publicly.
Known Issues
1. Generic Suggestions on Initial Setup
After the initial setup of the integration, the suggester will create a new persistent notification in Home Assistant. The initial suggestions are a generic list; however, you can manually trigger new suggestions that will look at your specific entities (or wait for the schedule to run).
You can manually trigger this by going to Developer Tools -> Actions -> AI Automation Suggester: Generate Suggestions -> Perform Action.
Usage
1. Automatic Suggestions
- The integration will automatically scan for new entities based on the configured scan frequency.
- When new entities are detected, it will analyze them and create automation suggestions.
2. Manual Trigger
- You can manually trigger the AI analysis at any time:
- Go to Developer Tools > Services.
- Select
ai_suggester.generate_suggestions
from the list.
- Click Call Service.
3. Viewing Suggestions
- Suggestions are delivered via Home Assistant's persistent notifications.
- You can also view suggestions in the
sensor.ai_automation_suggestions
entity's attributes.
4. Adding to Lovelace Dashboard
Important Notes
OpenAI API Key Security
- Do Not Share Your API Key: Keep your OpenAI API key confidential.
- Revoking Compromised Keys: If you suspect your API key has been compromised, revoke it immediately and generate a new one.
OpenAI API Usage
- Costs: Using the OpenAI API may incur costs. Monitor your usage in the OpenAI Dashboard.
- Usage Limits: Set usage limits in your OpenAI account to avoid unexpected charges.
Compatibility
- OpenAI Python Library: The integration requires
openai>=1.0.0
. This is specified in the manifest.json
.
- Home Assistant Version: Ensure you are running Home Assistant version 2023.5 or later.
Data Privacy
- Data Sent to OpenAI: The integration sends entity information to OpenAI's API for analysis.
- User Consent: By using this integration, you consent to this data being sent to OpenAI.
Troubleshooting
Common Issues
-
OpenAI API Errors
- Symptom: Error messages related to OpenAI API in notifications or logs.
- Solution:
- Verify your OpenAI API key is correct.
- Ensure your API key has not expired or been revoked.
- Check your OpenAI account for any usage limits or account issues.
-
Integration Not Showing Up
- Symptom: After installation, the integration doesn't appear in Home Assistant.
- Solution:
- Ensure the
ai_suggester
directory is in the correct location.
- Restart Home Assistant after adding the custom component.
- Check the logs for any errors during startup.
-
No Suggestions Generated
- Symptom: The integration doesn't generate any suggestions.
- Solution:
- Manually trigger the service
ai_suggester.generate_suggestions
.
- Check if there are any new entities to analyze.
- Review logs for any errors during the analysis.
-
Dependency Issues
- Symptom: Errors related to the OpenAI Python library version.
- Solution:
- Ensure that the OpenAI library version is
>=1.0.0
.
- Clear Home Assistant's cache by deleting the
deps
directory and restart.
Logging and Debugging
-
Enable debug logging for more detailed information:
logger:
default: warning
logs:
custom_components.ai_suggester: debug
openai: debug
-
View logs under Settings > System > Logs.
Roadmap
We have an ambitious roadmap for the AI Automation Suggester integration to enhance its capabilities and provide even more value to Home Assistant users. Below is a list of planned features and improvements:
Phase 1: Enhanced Entity Analysis
1. Comprehensive Integration and Sensor Discovery
- Objective: Extend the integration to analyze all available integrations, sensors, and automations in the user's Home Assistant setup.
- Details:
- Collect detailed information about existing entities and their states.
- Understand the relationships and dependencies between different entities.
- Identify potential areas where automations could enhance the smart home experience.
2. Advanced Automation Suggestions
- Objective: Provide more powerful and personalized automation suggestions based on the comprehensive analysis.
- Details:
- Use AI to detect patterns and usage habits.
- Suggest automations that can improve efficiency, security, and convenience.
- Include suggestions for energy savings, routine automation, and proactive alerts.
Phase 2: Interactive Suggestion Management
1. User Feedback Mechanism
- Objective: Allow users to like or dislike the suggested automations to refine future suggestions.
- Details:
- Implement a user interface where suggestions are listed with options to like or dislike.
- Use feedback to improve the AI model's understanding of user preferences.
- Store feedback securely and respect user privacy.
2. Detailed Implementation Guides
- Objective: For liked suggestions, provide concise and clear instructions on how to implement the automation.
- Details:
- Break down the steps required to create the automation within Home Assistant.
- Include code snippets, configuration examples, and screenshots where applicable.
- Explain the desired outcome and how the automation enhances the user's smart home.
Phase 3: Automated Automation Creation
1. One-Click Automation Deployment
- Objective: Enable users to automatically implement the suggested automations directly from the integration.
- Details:
- Integrate with Home Assistant's automation editor to create automations programmatically.
- Ensure automations are created following best practices and are easily editable by the user.
- Provide options for users to review and confirm automations before deployment.
2. Safety and Privacy Measures
- Objective: Implement safeguards to ensure that automations are created securely and do not compromise the user's system.
- Details:
- Include confirmation dialogs and summaries before making changes.
- Ensure the integration adheres to Home Assistant's security guidelines.
- Provide options to rollback changes if needed.
Future Enhancements
1. Local AI Processing
- Objective: Develop local AI processing capabilities to reduce reliance on cloud services.
- Details:
- Explore the use of local machine learning models compatible with Home Assistant's architecture.
- Improve response times and reduce costs associated with cloud AI usage.
- Enhance user privacy by keeping data processing local.
2. Multi-Language Support
- Objective: Support multiple languages to cater to a global user base.
- Details:
- Translate the integration's interface and messages into other languages.
- Ensure AI-generated suggestions are provided in the user's preferred language.
- Collaborate with the community for translations and localization efforts.
3. Community Integration Sharing
- Objective: Allow users to share their automations and suggestions with the community.
- Details:
- Create a platform or integrate with existing platforms to share and discover automations.
- Enable users to benefit from community-driven ideas and solutions.
- Implement moderation and quality control mechanisms.
Contributing to the Roadmap
We welcome contributions and feedback from the community to help shape the future of the AI Automation Suggester integration. If you have ideas, feature requests, or would like to contribute to the development, please open an issue or submit a pull request on our GitHub repository.
Timeline and Updates
We aim to implement these features progressively, with regular updates provided through the repository. Please check back frequently for the latest news and release notes.
Note: The features listed in this roadmap are subject to change based on feasibility, user feedback, and ongoing development efforts. Our goal is to provide the most valuable and user-friendly experience possible.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- Home Assistant Community: For providing an amazing platform and community support.
- OpenAI: For their powerful AI models and APIs.
Contributions
Contributions are welcome! Please open an issue or submit a pull request on GitHub.
Disclaimer
This integration is a third-party custom component and is not affiliated with or endorsed by Home Assistant or OpenAI.
Support the Project
If you find this project helpful and would like to support its development, you can buy me a coffee!
Your support is greatly appreciated and helps maintain and improve this project!
Additional Information
For any questions or support, please open an issue on GitHub.
Frequently Asked Questions (FAQ)
1. How do I update the integration when a new version is released?
- If installed via HACS, you can update the integration through the HACS interface:
- Navigate to HACS > Integrations.
- Find AI Automation Suggester in the list.
- If an update is available, click Update.
2. Can I use this integration without an OpenAI API key?
- No, an OpenAI API key is required for the integration to function, as it uses OpenAI's GPT models to generate suggestions.
3. Is my data safe when using this integration?
- The integration sends entity information to OpenAI's API for analysis. While OpenAI has robust privacy and security measures, you should review their privacy policy to understand how your data is handled.
4. I found a bug or have a feature request. How can I contribute?
- Please open an issue on the GitHub repository with details about the bug or your feature request.
5. Does the integration support local AI processing?
- Currently, the integration only supports cloud-based AI processing using OpenAI's API. Local AI processing is planned for future updates.
End of README
Feel free to reach out if you need further assistance or have any other questions!