chat-format

# 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 1. **Format chat** — call `mcp__plugin_ruflo-core_ruflo__ruvllm_chat_format` with messages and target provider 2. **Create HNSW index** — call `mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_create` for context retrieval 3. **Add documents** — call `mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_add` to index documents 4. **Route query** — call `mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_route` to find relevant context 5. **Check status** — call `mcp__plugin_ruflo-core_ruflo__ruvllm_status` for 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