- name
- chat-format
- description
- Format prompts for different LLM providers with chat templates and HNSW-powered context retrieval
- argument-hint
- <prompt> [--provider anthropic|openai|local]
- allowed-tools
- mcp__claude-flow__ruvllm_chat_format mcp__claude-flow__ruvllm_hnsw_create mcp__claude-flow__ruvllm_hnsw_add mcp__claude-flow__ruvllm_hnsw_route mcp__claude-flow__ruvllm_status Bash
Chat Format
Format prompts for multi-provider LLM inference with context retrieval.
When to use
When preparing prompts for different LLM providers (Claude, GPT, Gemini, Ollama) or building RAG pipelines with HNSW-powered context retrieval.
Steps
- Format chat — call
mcp__claude-flow__ruvllm_chat_formatwith messages and target provider - Create HNSW index — call
mcp__claude-flow__ruvllm_hnsw_createfor context retrieval - Add documents — call
mcp__claude-flow__ruvllm_hnsw_addto index documents - Route query — call
mcp__claude-flow__ruvllm_hnsw_routeto find relevant context - Check status — call
mcp__claude-flow__ruvllm_statusfor provider availability
Supported providers
- Anthropic (Claude) — native format
- OpenAI (GPT) — chat completion format
- Google (Gemini) — generative AI format
- Ollama — local model format
- Cohere — generate/chat format