feat(codex): Sakana AI を既定プロバイダに追加#55
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GPT を解約したため、この PC では Sakana AI(fugu) を codex の既定モデルにする。 - dot_codex/config.toml: model=fugu / model_provider=sakana を既定にし、 [model_providers.sakana] と [profiles.fugu]/[profiles.fugu-ultra] を追加 - dot_config/fnox/config.toml: SAKANA_API_KEY を age 暗号化で追加 - API キーは fnox 管理。fnox activate でシェルに載せて起動する - 会社 PC は managed config が上書きする想定（会社 PC で codex doctor 要確認）
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fnox が自動生成・追記する dot_config/fnox/config.toml は vp の書式と ブレて CI(vp check) が落ちるため、fmt.ignorePatterns に追加する。
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概要
GPT を解約したため、codex の既定モデルを Sakana AI (fugu) にする。
変更
dot_codex/config.toml: 既定をmodel=fugu/model_provider=sakana/model_reasoning_effort=highに。[model_providers.sakana]（https://api.sakana.ai/v1/env_key=SAKANA_API_KEY/wire_api=responses）と[profiles.fugu]/[profiles.fugu-ultra]を追加。dot_config/fnox/config.toml:SAKANA_API_KEYを age 暗号化で追加。使い方
SAKANA_API_KEYを環境に load）した状態でcodexを起動 → Sakana fugu。codex -p fugu-ultraで推論サマリ対応の上位モデル。気をつけるポイント
config.local.tomlを読まない（バイナリ文字列・ソース検索・実挙動で確認）。会社 PC の LLM Gateway は managed config（/etc/codex/managed_config.tomlか MDM）が user config を上書きする想定。会社 PC でcodex doctorの resolved provider が gateway か要確認。もし上書きされない場合は profile での出し分け（config.toml.tmpl）に切り替える。codex doctorでconfig.toml parse ok/model: fugu · sakana/ エンドポイント到達（HTTP 401 = キーで認証成立）まで確認済み。影響範囲