Convert chat messages into template strings for local model runtimes such as Ollama or llama.cpp. Optionally route queries among a few registered intents using embeddings, numerical representations of meaning, without calling a model.
中文简介正在准备中。当前显示英语简介。
Format chat messages in a local model's template (llama3, mistral, chatml, phi, gemma, or a model id) and route queries over a small WASM HNSW pattern index (about 11 patterns). Use when preparing prompts for local runtimes.
安装前可以查看交给 AI 代理的指令内容。
Format prompts for multi-provider LLM inference with context retrieval.
When you need a prompt string in a local model's chat template (for llama.cpp, Ollama or another local runtime), or a small embedding-based router over a handful of patterns. It does not call a model and it does not format for hosted APIs: Anthropic, OpenAI and Gemini take structured messages, not a template string.
mcp__plugin_ruflo-core_ruflo__ruvllm_chat_format with messages ([{role, content}]) and template: one of llama3, mistral, chatml, phi, gemma, or a model id to auto-detect. Both fields are required. It returns the formatted string. It needs @ruvector/ruvllm-wasm (npm i -g @ruvector/ruvllm-wasm); without it the call fails with an install hint.ruvllm_hnsw_create with dimensions (for example 384), maxPatterns, efSearch. The WASM router holds about 11 patterns at most (ruvllm-wasm v2.0.1), so use it for routing between a few named intents, not for document retrieval. For real document search use memory_search or the ruflo-rag-memory plugin.ruvllm_hnsw_add with routerId, a name, and an embedding whose length equals the router's dimensions (you produce the embedding, for example with embeddings_generate).ruvllm_hnsw_route with routerId, the query embedding, and k (default 3).ruvllm_status shows whether the WASM module loaded. Routers live in the MCP server process only; they are gone when it restarts.还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Compare models available through the HuggingFace router with chat-ui configuration, research missing models, and write short English descriptions of their architecture and capabilities. Add entries to both production and development configuration files and commit the changes.
中文简介正在准备中。当前显示英语简介。
Create an Architecture Decision Record, a document for recording important design choices, with the next sequential number. It generates a Markdown template, registers the record in AgentDB, and links related decisions found through search.
中文简介正在准备中。当前显示英语简介。
Build a searchable index and relationship graph from ADRs, records of architectural decisions. Import two supported document formats, refresh existing metadata without duplicate relationships, and review summaries of statuses, missing references, and inconsistencies.
中文简介正在准备中。当前显示英语简介。
Rebuild the index of ADRs, records of architectural decisions, after files or relationship lines are deleted. It clears stored records and relationships, indexes the files still present, and checks that the final record count matches.
中文简介正在准备中。当前显示英语简介。
Review code changes against accepted Architecture Decision Records, documents that capture agreed design choices. Report violations, outdated references, compliant changes, and areas without ADR coverage, then suggest code fixes or a new decision record where appropriate.
中文简介正在准备中。当前显示英语简介。
Check saved architecture decision records (ADRs) for broken references, circular replacement relationships, and inconsistent statuses. Use the results to verify imported records or stop a CI check when selected integrity rules fail.
中文简介正在准备中。当前显示英语简介。