darman
9929941748
Include Luna AI Assistant design docs covering channels, configuration, core architecture, memory, scheduler, and skills. Add reference docs from OpenClaw and ZeroClaw projects, plus Mistral and OpenAI API specs.
1.5 KiB
1.5 KiB
Scheduler
[!info] Status: Not Yet Implemented This module is planned for a future development phase.
The Scheduler provides a mechanism for Luna to handle time-based operations and periodic tasks. It acts as a temporal bridge between Core and Memory, ensuring that scheduled actions are executed reliably and within the specified context.
Purpose
The primary role of the Scheduler is to periodically scan Memory for pending tasks and coordinate their execution. It manages the lifecycle of long-running or deferred operations, ensuring they are handed off to the appropriate Agents at the right time.
Planned Features
- Recurring Tasks: Support for daily, weekly, or interval-based execution patterns.
- Task Dependencies: Ability to chain tasks so that one starts only after another completes successfully.
- Priority Queue: Management of task urgency to ensure critical system operations take precedence.
- Cron Scheduling: Standardized string-based scheduling for precise control over execution times.
Architecture & Integration
The Scheduler is expected to integrate deeply with the following modules:
- Core: For task execution logic and agent coordination.
- Memory: To persist task states and schedules.
Likely Dependencies
To ensure robust background execution, the module will likely utilize:
Microsoft.Extensions.Hosting: LeveragingIHostedServiceorBackgroundServicefor long-lived process management within the .NET ecosystem.