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Description
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We are exploring a modular approach to enabling/disabling features for AI Agents in Nevron using [Characterfile](https://github.com/elizaOS/characterfile).
Objective
Integrate a configuration system that allows defining agent behavior through a Characterfile, ensuring modular and flexible feature toggling.
Tasks
- Research Characterfile and its capabilities ([Docs](https://elizaos.github.io/eliza/docs/core/characterfile/)).
- Determine the best approach to structure agent configurations using Characterfile.
- Implement a mechanism to enable/disable features dynamically.
- Ensure compatibility with existing Nevron architecture.
- Test the implementation to validate correct feature toggling.
Open Questions
- Should the Characterfile be the primary configuration format, or should it work alongside existing methods?
- What is the most efficient way to parse and apply configurations at runtime?
- How do we handle fallback values when a feature is not explicitly defined?