* docs: add best practice for filtering recall by memory shape (#856)
Add guidance on using entity labels with `tag: true` to deterministically
filter recall results when a bank contains different memory shapes
(e.g., concise rules vs. detailed procedures).
* feat: add OpenRouter support for LLM, embeddings, and reranking
OpenRouter is OpenAI-compatible for chat/embeddings and Cohere-compatible
for reranking, so no new provider classes are needed.
- LLM: added as OpenAICompatibleLLM provider (default model: qwen/qwen3.5-9b)
- Embeddings: reuses OpenAIEmbeddings with OpenRouter base URL (default: perplexity/pplx-embed-v1-0.6b)
- Reranker: reuses CohereCrossEncoder with OpenRouter rerank endpoint (default: cohere/rerank-v3.5)
- API key fallback chain: dedicated key → shared OPENROUTER_API_KEY → LLM_API_KEY
* chore: regenerate docs skill references and fix formatting
e5944b63e7