DazedTL/TODO.md

TODO

Custom game prompt

• Keep the default prompt (prompt.txt) as the base for every game.
• Add an optional per-game custom prompt in the UI that merges with the default (custom rules layered on top of shared instructions, not a full replacement unless explicitly chosen).
• Surface this in settings / project setup so each game folder can carry its own tone, terminology notes, or content warnings without forking the global prompt.

Local translation cache (game retranslate)

• Persist every successful translation locally so a full retranslate from scratch can reuse prior results instead of paying again.
• Cache key: hash the translation payload (source Japanese text sent to the model) plus target language — same approach as the existing global cache in util/translation.py (get_cache_key, log/translation_cache.json). Payload keys naturally dedupe identical lines across files and survive re-extract / re-import as long as the source string is unchanged.
• Scope: consider a per-game cache file under the game project (e.g. <game_root>/translation_cache.json or alongside wolf_json/) in addition to (or merged with) the tool-wide log/translation_cache.json, so caches travel with the game folder and are easy to back up.
• Write path: on every successful translate (live and batch consume), store {cache_key: translation} before or as results land in translated/.
• Read path: before calling the API, check cache; on hit, skip the request and apply the cached translation (respecting file-specific re-expansion where the payload is Japanese-only).
• Retranslate workflow: when the user re-imports fresh JSON and runs Translate again, cache hits should fill translated/ automatically for unchanged source lines; only new or edited source text should incur API cost.
• UI (later): cache stats (hits / misses / estimated savings), export/import, clear cache for one game, optional “prefer cache” toggle.
• Invalidation: optional metadata (model id, prompt version) in the key or entry if we need to avoid reusing stale translations after prompt or model changes.