v2.0.1

Fixed

• Non-English text no longer crashes the embedder (#10). Inputs were cut to
  1,500 characters, but TaylorAI/bge-micro-v2 ships a placeholder
  model_max_length, so 1,500 chars of German (~560 tokens) overflowed its 512
  position embeddings, onnxruntime threw, and search_notes silently dropped to
  keyword-fallback. The tokenizer is now capped at the model's real
  max_position_embeddings, so truncation happens at the token level for any
  language — including the parity check, which embeds a full stored note.
• Stale model_key in smart_env.json no longer empties the index (#9).
  Switching models in Smart Connections can re-embed every .ajson under the
  new key while the config keeps the old one; every vector lookup then missed
  and search returned [] in "mode": "semantic". The server now trusts the
  data when the declared model has no vectors, logs the override, and reports
  the config value as declaredModelKey in get_stats / list_vaults.
• A vault with no vectors indexed now falls back to keyword matching with an
  explicit warning instead of returning an empty semantic result.