The parse-task endpoint already returns free-text label hints from the
LLM ("steuern", "haushalt", …). Now the todo store fuzzy-matches each
hint against the user's existing tags via tagCollection and assigns
the matched IDs to the task's metadata.labelIds.
Match policy is intentionally conservative:
- Normalize via NFD strip + lowercase + collapsed whitespace
- Exact normalized match wins
- Substring fallback only for ≥3 char strings (avoids "ab" hitting
every tag containing "ab")
- Never auto-creates a tag — even if the LLM is sure, an unknown topic
silently drops, because auto-creating would clutter the user's tag
list with one-off duplicates from voice transcripts
Both flows pick this up: voice always (transcripts almost always carry
topic hints) and typed only when there's structured payoff, same
asymmetry as before — typed quick-add now also enriches when the LLM
just finds a tag match without a date or priority.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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