feat(ai): resolve Steam app IDs from the library, don't make the model guess — 0.29.0

The model guessed "Rainbow Six Siege" for appID 2694490 (Path of Exile 2). We
already know the names locally, so ground it: steam.appid_names() maps appid→name
from the scanned library, and ai.build_prompt scans the text for app IDs and
injects a resolved glossary. Only locally-known IDs are listed; no network, no
fine-tuning. Tests + verified live (2694490 = Path of Exile 2).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-05-22 13:40:34 +02:00
parent c7e50ba4cb
commit 12339c3282
6 changed files with 62 additions and 4 deletions
+8
View File
@@ -5,6 +5,14 @@ All notable changes to RigDoctor are recorded here. Format follows
(`MAJOR.MINOR.PATCH`, pre-1.0). `__version__` and `pyproject.toml` must match the git
release tag (so the auto-updater, D18, can compare versions).
## [0.29.0] - 2026-05-22
### Added
- **AI now resolves Steam app IDs from your library instead of guessing.** When app IDs appear
in the logs/findings, RigDoctor looks them up in your scanned games (`steam.appid_names()`) and
injects an "App IDs (resolved from your installed games)" glossary into the prompt — so the
model names games correctly (e.g. `2694490 = Path of Exile 2`) rather than hallucinating. Only
IDs it can resolve locally are listed; no network, no model "training" needed.
## [0.28.1] - 2026-05-22
### Fixed
- **AI explanations were misreading stale/benign logs.** Three fixes so the model analyses the