omlx-prompt-shrink
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- AlicenseNot gradedqualityNot gradedmaintenanceEnables autonomous agents to keep long-running conversations within configurable token budgets by compacting message arrays, preserving system instructions and recent turns while distilling older history into concise summaries. This prevents context window exhaustion without external LLM dependencies.MIT
- AlicenseNot gradedqualityBmaintenanceProvides deterministic context compaction and safety gating for AI agents, preserving original messages verbatim while dropping irrelevant ones and flagging destructive commands.2MIT
- AlicenseNot gradedqualityBmaintenanceEnables long-horizon autonomous agents to avoid context-window exhaustion by enforcing configurable token budgets and distilling older conversation turns into concise sliding summaries.7MIT
- AlicenseAqualityDmaintenanceLets Claude Desktop, Cursor, Cline, Windsurf, Zed, or any other MCP client estimate token counts and fit a chat history into a model's context budget on demand.352 npm1MIT
- AlicenseAqualityFmaintenanceProvides AI chat history compression tools through token-based trimming and AI-powered summarization strategies to manage conversation context within token limits.262 npm5MIT
- AlicenseNot gradedqualityDmaintenanceEnables 70-90% LLM API cost reduction by compressing conversation history via local Gemma 4 models or heuristics, featuring token counting, model routing, and pinned facts for preserving critical context.1MIT
TDQS
Scored across 3 tools
Each tool maps to a distinct stage of context management: estimate (measure), trim (drop oldest), compact (summarize oldest). Boundaries are mostly clear, though trim_context and compact_context both trigger when context exceeds a limit and differ only in how old messages are handled, which could cause slight hesitation in selection.
All three tools follow a consistent verb_noun convention (estimate_context, trim_context, compact_context) with parallel suffixes. Predictable and easy to scan.
Three tools is a tight, well-scoped set for a focused context-shrinking utility. Each tool corresponds to a necessary step in the workflow (measure, reduce, summarize), with no redundant tools.
The estimate-trim-compact lifecycle covers the core domain well. A minor gap exists: there is no way to inspect or report the resulting message list after trimming/compacting beyond the returned plan, but the surface is largely complete for the stated purpose.