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Motivation and Context
Context management (compaction) is one of the key features in the "dev-harness" effort. This change introduces structured handling of long-running AI chat conversations by compacting historical context while preserving key decisions and intent. By reducing token growth and context drift, it improves response quality, performance, and cost predictability over extended sessions. The implementation is designed to be extensible and transparent, making context lifecycle management a first‑class concern for agent development.
Description
The goal of this approach is to utlize existing patterns within the Agent Framework (
ChatHistoryProvider) and MEAI (IChatReducer)Contribution Checklist