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feat(ai): pre-fill qwen2.5:7b when Ollama is selected — 0.27.1 #24

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jessey merged 2 commits from feat/m14-ai into main 2026-05-22 11:32:59 +00:00
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jessey commented 2026-05-22 11:32:54 +00:00
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Selecting the Ollama provider pre-fills the model field with the suggested
qwen2.5:7b (fits an 8 GB GPU at Q4; grounding makes a 7B sufficient). Won't
overwrite a model the user already typed. Constant ai.OLLAMA_SUGGESTED_MODEL.

Co-Authored-By: Claude Opus 4.7 (1M context) noreply@anthropic.com

Selecting the Ollama provider pre-fills the model field with the suggested qwen2.5:7b (fits an 8 GB GPU at Q4; grounding makes a 7B sufficient). Won't overwrite a model the user already typed. Constant ai.OLLAMA_SUGGESTED_MODEL. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
jessey added 2 commits 2026-05-22 11:32:55 +00:00
feat(ai): pre-fill qwen2.5:7b when Ollama is selected — 0.27.1 e6d94fbd59 
Selecting the Ollama provider pre-fills the model field with the suggested
qwen2.5:7b (fits an 8 GB GPU at Q4; grounding makes a 7B sufficient). Won't
overwrite a model the user already typed. Constant ai.OLLAMA_SUGGESTED_MODEL.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
feat(ai): render Markdown + feed game/Proton/Steam logs to the AI — 0.28.0 b59f202891 
1) The explanation popup rendered raw Markdown (### / **). Switched to
   QTextEdit.setMarkdown and told the model to answer in Markdown.
2) On "Explain with AI", also collect recent Proton (~/steam-*.log) and Steam
   console logs (core/gamelogs.py — tail-read, size-bounded) and include them in
   the prompt so the model can correlate log errors with findings and pinpoint
   when things went wrong. Reference-fact matching runs over the logs too.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
jessey merged commit a3caabc0d5 into main 2026-05-22 11:32:59 +00:00
jessey deleted branch feat/m14-ai 2026-05-22 11:32:59 +00:00
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Reference: jessey/rigdoctor#24
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