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CV1よりは遥かにマシです。ただし、1年前のレビューと同様にMeta社製HMDを宗教的な理由で使用したくない理由があるとか、Wifiストリーミングメイン(後述しますがこの接続方法をメインにしたい場合はオススメ出来なくなります)でなく有線にこだわりがあるとかでない限りは推奨できませんね。",{"type":22,"tag":23,"props":66,"children":68},{"id":67},"使用してから1年経過した-focus-vision-追加レビュー",[69],{"type":28,"value":70},"使用してから1年経過した Focus Vision 追加レビュー",{"type":22,"tag":72,"props":73,"children":75},"h2",{"id":74},"wi-fiストリーミングについて",[76],{"type":28,"value":77},"Wi-fiストリーミングについて",{"type":22,"tag":31,"props":79,"children":80},{},[81],{"type":28,"value":82},"1年の中で時々Wi-fiストリーミングをテストしてみる事がありました。私の環境では Aterm WX5400HP を1Fに配置し、自室は2Fで気密性重視型木造一軒家なので床1枚と壁2枚程を隔てており、周辺には6～10程の無線ルーターを検出している状況ですが、VIVE Hubストリーミング開始直後は問題ないものの、2～5分するとストリームのフレーム飛びが発生し始めて、切断されるケースがほぼ確実に発生するのでマトモに使えませんね。これをALVRといった別の手法に切り替えた所、安定するようなのでVIVE Streaming(VIVE Hub)に問題があるとしか思えません。ただし最近ALVRはセッションが確立した段階でSteamVRをクラッシュループさせるようになってしまったのでこちらも今の所は使えませんが、基本的に問題が発生しないならVIVE Streaming(VIVE Hub)でWi-fiストリームを行わない方が良いかもしれません。といっても私の環境の場合、サーバー機も稼働しておりいくつかサービスを立ち上げていて帯域をそれなりに占有している可能性があるので、あとは他に環境固有のストリームが途切れる原因がなにかあるのかもしれませんね。",{"type":22,"tag":72,"props":84,"children":86},{"id":85},"dp接続有線ストリーミングキットについて",[87],{"type":28,"value":88},"DP接続(有線ストリーミング)キットについて",{"type":22,"tag":31,"props":90,"children":91},{},[92],{"type":28,"value":93},"記事を書く3週間前程の2026年 4月の終わり頃になって、突然有線ストリーミングなのに頻繁に切断が発生しまくり、再接続がVIVE Hubによって実行されようとしている段階でなんとNVIDIAのドライバーをクラッシュさせて3～5分前後、OSがフリーズしたかのように操作を受け付けなくなり、ドライバーが自動再起動された後にSteamVRで「SteamVRで重大なエラーが発生しました」が発生し、場合によってはデスクトップのフレームレートが1桁単位に低下してマトモに操作できなくなるという問題が突如発生し始めました。この時、Windows UpdateもVIVE関連のファームウェアやVIVE HubソフトウェアもSteamVRも別に新たな更新が適応されたりといった事は無かったのである日突然調子が悪くなった感じです。元々購入直後からケーブルやHMDの接続端子部分に指が僅かに当たるといった事があるだけで一度接続が失われ、再びDisplayport再接続もしくはUSB接続に降格するという問題がありましたが、この大問題が発生し始める前の段階ではSteamVRやNVIDIAドライバークラッシュまでは発生しなかったので再接続復帰は容易でしたが、流石にOSをフリーズさせるレベルになると事態が深刻化したと見て良いと思ったので、本件は既にHTC社へ直接問い合わせが進行しています。",{"type":22,"tag":31,"props":95,"children":96},{},[97],{"type":28,"value":98},"今の所判明しているのはPC再起動や一般的によく案内されやすい「ソフトウェアアプデ・余計なソフトウェアの停止・グラボの接続端子数を最小化(HMDとメインディスプレイ1つ以外に余計なものを繋げない)する」といった事では解決せず、唯一効果があったと思われるのがUSB接続端子を変更する事ぐらいでした。私の環境ではマザーボード「ASRock Z590 Phantom Gaming 4/ac」を使用していますが、ストリーミングキットUSB端子を接続していたのが普段は背面ポート USB 3.2 Gen1 (2個以上連続配置されているもの)だったのですが、これをUSB 3.2 Gen2 Type A+C(マザーボード製品ページ画像ではUSB3ポートの下側にTypeCポートが乗っかっているポートの上部にある単一のUSB3.2 TypeA ポート)に接続するように変更すると再接続しては再び切断されるといった不安定な挙動が多少マシになりましたが、記事を書いた時点ではまだ4日間しか確認しておらず、本当に安定化したのかはまだ不明です。",{"type":22,"tag":31,"props":100,"children":101},{},[102],{"type":28,"value":103},"...というように実は公式フォーラムでは有線ストリーミングキットに関する以下のようなスレッドが建てられておりまして",{"type":22,"tag":31,"props":105,"children":106},{},[107],{"type":22,"tag":35,"props":108,"children":111},{"href":109,"rel":110},"https://forum.htc.com/topic/20214-problem-with-displayport-mode/",[39],[112],{"type":28,"value":113},"Problem with DisplayPort mode",{"type":22,"tag":31,"props":115,"children":116},{},[117],{"type":28,"value":118},"有線ストリーミングキットは別売り・有償なのにも関わらず結構不安定な報告が多いですし、これに関する議論は2024年から今も継続されており、完全な解決策も出ているわけではないので、購入直後から「頭の向きを少し変えるだけで再接続現象が発生する」という報告もこちらで確認している挙動と一致しているので、物理的にHMDもしくはストリーミングキット製品側に問題がある事を疑う事になりますね。なお、HTC社の問い合わせではHMDのシリアルナンバーを聞いてきたので何かHTC社しか知り得ない既知の問題がある可能性があるのかもしれませんが、後の回答で「VIVE製品の不具合であるかは分かりかねる状態」と返されてしまったので詳細は不明ですし、USBポート切り替えで安定化したなら様子を見て欲しいと言われてしまいましたね。",{"type":22,"tag":31,"props":120,"children":121},{},[122],{"type":28,"value":123},"なお憶測ではありますが、私としては有線ストリーミングキットの補助電源供給が怪しいと見ています。USB給電であれDC電源給電であれ、特に接続が切れやすい時には接続しているコンセントアダプターが全く熱を持っていないケースが非常に多く、安定している時はある程度熱を持つので、ソフトウェアによる電源制御周りかドライバに何か問題があるのでは? というのが私の中での仮説になりますが、とりあえず様子を見るしかないですね。",{"type":22,"tag":72,"props":125,"children":127},{"id":126},"フェイストラッキングモジュール関連",[128],{"type":28,"value":126},{"type":22,"tag":31,"props":130,"children":131},{},[132],{"type":22,"tag":133,"props":134,"children":139},"img",{"alt":135,"src":136,"style":137},"フェイストラッキングモジュールをテーブルがテーブルの上に置かれている","/blog/20260515/media/001.webp",{"aspectRatio":138},"4032/3024",[],{"type":22,"tag":31,"props":141,"children":142},{},[143],{"type":28,"value":144},"フェイストラッキングモジュールをつい最近ようやく注文して導入しましたのでレビューできるようになりました。といっても、この1年の間にフェイストラッキング系レビューは結構参考になるものが出てきてしまっているのであまり語ることはないんですが、レビュー前にちゃねんげる氏のフェイストラッキング全般に関するレビューを推薦しておきます。",{"type":22,"tag":31,"props":146,"children":147},{},[148],{"type":22,"tag":149,"props":150,"children":151},"strong",{},[152],{"type":28,"value":153},"「各VRヘッドセット、後付けデバイスの顔トラ比較（パラメーター数、精度、使った感覚）」",{"type":22,"tag":31,"props":155,"children":156},{},[157],{"type":28,"value":158},"ttps://x.com/challenger0303/status/2041441456108503143",{"type":22,"tag":31,"props":160,"children":161},{},[162],{"type":22,"tag":149,"props":163,"children":164},{},[165],{"type":28,"value":166},"※どうやら今のX.comはYKRV.NETのURLリンク生成システムでは直接アクセスできなくなる程、厳しいリクエスト制限が掛かっているようなのでURLをh抜きでそのまま添付します。",{"type":22,"tag":31,"props":168,"children":169},{},[170,172],{"type":28,"value":171},"まずフェイストラッキングモジュールの接続や詳細は省きます。本当に接続するだけでそれで完了なので。重要なのは今の所、使用する先であろうVRChatでの使用についてですのでそちらがレビューのメインとなります。 ",{"type":22,"tag":149,"props":173,"children":174},{},[175],{"type":28,"value":176},"フェイストラッキング購入に関して一言助言しておくと、HTC公式ストアで単品注文した場合、わざわざ台湾からUPSで空輸してきたので送料をこちらで負担する羽目になりました。送料は約3000円前後だったのでこれだけの為に注文するぐらいならHMD購入時点でセット注文する方がお得です。",{"type":22,"tag":178,"props":179,"children":181},"h3",{"id":180},"vrchatでフェイストラッキングモジュールを使用するにはアバター対応方法等も記載",[182],{"type":28,"value":183},"// VRChatでフェイストラッキングモジュールを使用するには(アバター対応方法等も記載)",{"type":22,"tag":31,"props":185,"children":186},{},[187,189,194],{"type":28,"value":188},"まずアイトラッキングと同様にアバター側がフェイストラッキングに対応している必要があります。このフェイストラッキング対応化についても組み込むモジュールが独自ソリューション(Booth販売アバターに付属していたり等)のものが多いので、ここでハッキリとさせておく必要があるのが ",{"type":22,"tag":149,"props":190,"children":191},{},[192],{"type":28,"value":193},"アイトラもフェイトラも結局は全てVRCFTに集約してトラッキングパラメータを送信するのが最適解",{"type":28,"value":195}," となるので、一番のベストプラクティスとなる手法を色々と確認してみた結果、おそらく以下のフレームワークをアバターに組み込んで対応化させるのが一番だと思われます。",{"type":22,"tag":31,"props":197,"children":198},{},[199],{"type":22,"tag":35,"props":200,"children":203},{"href":201,"rel":202},"https://github.com/Adjerry91/VRCFaceTracking-Templates",[39],[204],{"type":28,"value":205},"Github - Adjerry91/VRCFaceTracking-Templates",{"type":22,"tag":31,"props":207,"children":208},{},[209],{"type":28,"value":210},"ただし、私の場合はSizryavka Concept Alphaアバターへのフェイストラッキング対応は見送り、丁度フェイストラッキング購入と同時期に購入したBoothアバターをVRCFTに本格対応させるといった手段を使いましたね。",{"type":22,"tag":31,"props":212,"children":213},{},[214],{"type":22,"tag":35,"props":215,"children":218},{"href":216,"rel":217},"https://booth.pm/ja/items/8162965",[39],[219],{"type":28,"value":220},"『フォレ・ノワールの少女 カザリス』【オリジナル3Dモデル】",{"type":22,"tag":31,"props":222,"children":223},{},[224],{"type":28,"value":225},"カザリスアバターの場合、既に標準でフェイストラッキング対応化 ModularAvatar 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大丈夫です。FPSゲーマーであればおそらくそう思うのは必然でしょう。",{"type":22,"tag":72,"props":1151,"children":1153},{"id":1152},"pcvr中のバッテリー消費について",[1154],{"type":28,"value":1155},"＞PCVR中のバッテリー消費について",{"type":22,"tag":31,"props":1157,"children":1158},{},[1159],{"type":28,"value":1160},"PCVR中はバッテリーの消費量がスタンドアローン動作時よりもかなり消費量が減るので数時間程度であれば充電インジケーターが1つも減らないぐらいです。6時間超えといったような長時間連続プレイはまだ出来る程使い込めていないのでなんともですが、余程のVRプレイヤーでない限りは予備バッテリー無しでも気にならない程度だと思います。休憩の合間に充電も出来ますしね。ただ、過去のファームウェアでPCVR中のバッテリー消費が突然激しくなったといった問題があった時期も確認されているようなので、ファームウェアによってはそういった問題に再び遭遇することもあるかもしれませんね。",{"type":22,"tag":72,"props":1162,"children":1164},{"id":1163},"ハンドコントローラーアルトラの充電絡みに関する注意について",[1165],{"type":28,"value":1166},"＞ハンドコントローラー・アルトラの充電絡みに関する注意について",{"type":22,"tag":31,"props":1168,"children":1169},{},[1170],{"type":28,"value":1171},"充電ケーブルや付属のコンセントといった充電全般に関する注意点です。まずハンドコントローラー・アルトラの充電接続ポートはUSB Type-Cで構成されています。これらの機器の充電は購入したオプション次第で充電の制約が変わります。",{"type":22,"tag":178,"props":1173,"children":1175},{"id":1174},"focus-visionアルトラ-31キット購入-dp接続キット未購入",[1176,1178],{"type":28,"value":1177},"・",{"type":22,"tag":1179,"props":1180,"children":1181},"u",{},[1182],{"type":28,"value":1183},"「Focus Vision・アルトラ 3+1キット」購入 / 「DP接続キット」未購入",{"type":22,"tag":31,"props":1185,"children":1186},{},[1187,1189],{"type":28,"value":1188},"アルトラキット側にはType-Cケーブルしか同梱されておらず、Focus Vision本体にはType-C電源アダプター(公式名称: HTC USB PD電源アダプター（30W）)はなんと1つも付属していない為、",{"type":22,"tag":149,"props":1190,"children":1191},{},[1192],{"type":28,"value":1193},"Type-C電源アダプターを購入しない場合、充電するには本体/アルトラキットに付属しているType-Cケーブルを電源供給可能なPCポート等に繋ぐ以外に充電は行えません。(重要)",{"type":22,"tag":178,"props":1195,"children":1197},{"id":1196},"focus-visionアルトラ-31キットdp接続キット両購入",[1198,1199],{"type":28,"value":1177},{"type":22,"tag":1179,"props":1200,"children":1201},{},[1202],{"type":28,"value":1203},"「Focus Vision・アルトラ 3+1キット」「DP接続キット」両購入",{"type":22,"tag":31,"props":1205,"children":1206},{},[1207,1209],{"type":28,"value":1208},"Type-C電源アダプター同型が1つ付属している為、PCに必ずしもUSB Type-Cポートが無くとも充電は行えますが、これは本来、DP接続用コンバーターの補助電源供給用に用意されたものなので、充電中にDPキットを使用する場合、DPキットの補助電源供給を切る事になってしまい「DP接続をしながらコントローラー・アルトラ複数個を同時充電したいんだ!」という場合は前述のType-C電源アダプターもしくはVive USB-C マルチチャージャー (5ポート) オプションを事前に追加購入しないと実現できません。",{"type":22,"tag":487,"props":1210,"children":1211},{},[1212],{"type":28,"value":1213},"コントローラー充電中にHMD自体を使うこと自体がほぼないと思うので問題は無いと思いますが",{"type":22,"tag":72,"props":1215,"children":1217},{"id":1216},"dp接続キット関連の話",[1218],{"type":28,"value":1219},"＞DP接続キット関連の話",{"type":22,"tag":31,"props":1221,"children":1222},{},[1223],{"type":28,"value":1224},"DP接続キットを用いる場合、前項で説明したように付属のコンセントを用いて補助電源をDPコンバーターへ供給する必要があります...が、もし電源供給がない場合は動作しないのか、あるいはPC側でFocus Visionを認識すらしないのかという件について先に言っておくと、私の環境では補助電源ケーブルを抜いていてもなんと動作してます。おそらくRTX 4090を使用している都合上、PC電源も1000W以上のものを使用している事で供給が追いついている可能性がありそうですが、この件とは別にredditの方でType-C電源アダプターの電力供給が足りないせいで不安定になり、定期的に切断されデバイスが動作しなくなるという問題に遭遇したという報告があるので、しっかりと補助電源を接続した状態で運用すべきでしょう。(ちなみにスレ主は、SteamDeckの電源アダプターに変える事で解決したと報告されてますが、電源供給が現在の生産ロットでも本当に不足してしまうのかは不明です。今のところ私の環境では同症状が発生していないとだけ。)",{"type":22,"tag":31,"props":1226,"children":1227},{},[1228],{"type":22,"tag":35,"props":1229,"children":1232},{"href":1230,"rel":1231},"https://www.reddit.com/r/VRGaming/comments/1ggcrt9/for_those_of_you_having_issues_with_displayport",[39],[1233],{"type":28,"value":1234},"Reddit - For those of you having issues with DisplayPort on Vive Focus Vision, I may have a fix for you!",{"type":22,"tag":72,"props":1236,"children":1238},{"id":1237},"アルトラのファームウェアアップデートについて",[1239],{"type":28,"value":1240},"＞アルトラのファームウェアアップデートについて",{"type":22,"tag":31,"props":1242,"children":1243},{},[1244],{"type":28,"value":1245},"アルトラに限る話ですが、ファームウェアアップデートの手段について確認しておくべき事項がありました。アルトラのファームウェアアップデート手段は2つ存在しており",{"type":22,"tag":31,"props":1247,"children":1248},{},[1249],{"type":22,"tag":149,"props":1250,"children":1251},{},[1252],{"type":28,"value":1253},"1、WifiドングルをFocus Visionに刺してFocus Visionを中継してファームウェアをアルトラに適応する",{"type":22,"tag":31,"props":1255,"children":1256},{},[1257],{"type":22,"tag":149,"props":1258,"children":1259},{},[1260],{"type":28,"value":1261},"2、PCに直接続してVive Hubソフトウェアを経由してアルトラに適応する",{"type":22,"tag":31,"props":1263,"children":1264},{},[1265,1267,1272],{"type":28,"value":1266},"がありますが、",{"type":22,"tag":149,"props":1268,"children":1269},{},[1270],{"type":28,"value":1271},"PC直接続によるアップデートに限り、少なくともUSB Type-Cポートが2つ以上要求",{"type":28,"value":1273},"されます。私の場合はマザボに備わっている1ポートしか無いのでこうなるとWifiドングルステーションを接続しただけでポートが埋まってしまい、2ポート目以降にアルトラが接続できない為、必然的に1番目の手段でのアプデが強制されます。最も、1番目の手段で困ることは特に無いのでPCですべて管理するつもりだったのであれば先にType-Cポートの確認をした方が良いというだけの話になります。",{"type":22,"tag":23,"props":1275,"children":1277},{"id":1276},"カテゴリー別-focus-vision全般レビュー",[1278],{"type":28,"value":1279},"カテゴリー別 Focus Vision全般レビュー",{"type":22,"tag":31,"props":1281,"children":1282},{},[1283],{"type":28,"value":1284},"ここからはカテゴリーに分けて詳細なレビューを載せておきます。",{"type":22,"tag":72,"props":1286,"children":1288},{"id":1287},"スタンドアローン機能",[1289],{"type":28,"value":1290},"＞スタンドアローン機能",{"type":22,"tag":31,"props":1292,"children":1293},{},[1294],{"type":28,"value":1295},"CV1から久々に移行した身であり、そして魔のno hdmi問題のせいでCV1本体は生きていても不良設計ケーブルが再入手出来ずにVR界への介入をしばらく断ち切っていた身としてはスタンドアローンがあるだけで少々余裕が出来たとは思いましたが、とにかく画質が荒く感じるので常用は非推奨です。DPキットによるPCVRを体験していれば尚の事です。",{"type":22,"tag":72,"props":1297,"children":1299},{"id":1298},"pcvr",[1300],{"type":28,"value":1301},"＞PCVR",{"type":22,"tag":31,"props":1303,"children":1304},{},[1305],{"type":28,"value":1306},"基本的にスタンドアローンOS上でストリームアプリを返してSteamVRとの連動を前提とした設計がされていました。SteamVRを終了させてもSteamVRが自動的に起動されるのでこれが覆ることはないでしょう。\nDP・USB・Wifiストリームと3種類ありますが、USBモードでは画面に若干の歪みが入るぐらいには画質が下がりますが、DPモードになると途端に画質が上がります。CV1の頃は片目解像度がまだ低かったのでドットが認識できてしまっていて体験を損ねていたんですが、この機種ではドット感を一切感じていないのであの頃から随分と変わったなという印象が強いですね。",{"type":22,"tag":72,"props":1308,"children":1310},{"id":1309},"dpモード関連",[1311],{"type":28,"value":1312},"＞DPモード関連",{"type":22,"tag":31,"props":1314,"children":1315},{},[1316],{"type":28,"value":1317},"DPモード中の最高フレームレート上限についてです。90fpsモードはかなり安定しています。120fps(beta)は現時点では時々フレーム飛びが起こる事や90fpsモードでも接続途切れが割と起こるので、この辺りはドライバ・ファームウェアが成熟すれば解決できそうです。少なくとも今は90fpsで運用するのが良いかと。",{"type":22,"tag":72,"props":1319,"children":1321},{"id":1320},"フレネルレンズ",[1322],{"type":28,"value":1323},"＞フレネルレンズ",{"type":22,"tag":31,"props":1325,"children":1326},{},[1327],{"type":28,"value":1328},"そもそもフレネル以降のパンケーキレンズを未体験なので何とも言えないんですが、よく言われるゴットレイは個人的にはそこまで気になりませんでした。凝視したり明暗の差がはっきり出るシーンなら気づく事もある程度です。それよりは立体視による没入感と前述したドット感の無さによる快適さの方が上回るので問題が無いとも言えそうです。",{"type":22,"tag":72,"props":1330,"children":1332},{"id":1331},"fov視野",[1333],{"type":28,"value":1334},"＞FOV/視野",{"type":22,"tag":31,"props":1336,"children":1337},{},[1338],{"type":28,"value":1339},"CV1よりは装着後にフレームが存在している事に気がつかなくなるほどには広角なFOV設計になっていると思います。そもそもデスクトップのFPSゲー並に広い視野を素早く見渡す必要があるゲーム自体が今のところ少ないのでプレイする目的次第では問題ないように思えます。",{"type":22,"tag":72,"props":1341,"children":1343},{"id":1342},"可読性スイートスポット",[1344],{"type":28,"value":1345},"＞可読性/スイートスポット",{"type":22,"tag":31,"props":1347,"children":1348},{},[1349],{"type":28,"value":1350},"スイートスポット自体がかなり狭いようで、レンズ中央に正しく目の位置が合っていないと一気に全体の可読性が下がります。これによりプレイ時にHMDをかなり意識して固定(頭部マジックテープで留める位置をキツめにするかHMD装着中に上からヘッドフォンを被り、位置固定を強める工夫をする)しておかないとメガネの位置を時々手で合わせるのと同様に位置調整を頻繁に入れる事が多いです。また可読性についてはVive Hub側の画質設定やSteamVRのレンダリング解像度設定によっては読みやすさが変わるようです。当たり前の話として解像度が高い方が見やすくなりますが、現時点で高設定にしてしまうとRTX 4090であっても動作が不安定になるので、比較的どんなシチュエーションでも安定しやすいパフォーマンス自動設定運用の場合はプレイするタイミングによって読みやすかったり読みにくかったりと、プレイ毎に可読性が変わる感覚がありますね。他に極端な例を挙げるとするなら、目のみで周囲を見ると端に置かれたUIや文字は読めなくなるので厳しいです(特にDCSといったフラシム系では横目移動のみでパネル操作をするといった場合に全く文字が読めなくなるので頭自体をそちらに多少向けなければならず、結構な問題となります。)",{"type":22,"tag":72,"props":1352,"children":1354},{"id":1353},"idp自動調整",[1355],{"type":28,"value":1356},"＞IDP自動調整",{"type":22,"tag":31,"props":1358,"children":1359},{},[1360],{"type":28,"value":1361},"自動調整は個人使用の場合は付けはずしするだけで割と頻繁に調整が行われるので、1台を身内でシェアする事が無いなら、スタンドアローンOS上で一度自動測定をして微調整をした上でマニュアル制御モード固定にするのがオススメです。元々CV1ではマニュアルでアナログスライダーを操作していたものではありますが、Focus VisionではOS上での電子操作に変わったので一度設定すれば基本的に意識する必要すら無くなるのは地味に有り難く感じています。誤操作でズレる心配ともこれでおさらばです。",{"type":22,"tag":72,"props":1363,"children":1365},{"id":1364},"スタンドアローンos全般",[1366],{"type":28,"value":1367},"＞スタンドアローンOS全般",{"type":22,"tag":31,"props":1369,"children":1370},{},[1371],{"type":28,"value":1372},"チュートリアル完了後、Viveアカウントにログイン出来ない事情がある(二段階認証24h待ち等)場合、OSオプションがVive browserアプリ内のみからしかアクセスできないようです。PCVRは非ログインでもケーブル接続時に専用の選択肢ウィンドウが出てくるのでログインせずともPCVRプレイは可能です。",{"type":22,"tag":72,"props":1374,"children":1376},{"id":1375},"vive-browser",[1377],{"type":28,"value":1378},"＞Vive Browser",{"type":22,"tag":31,"props":1380,"children":1381},{},[1382],{"type":28,"value":1383},"標準ブラウザアプリのVive Browserですが、最低限のプライベートブラウスやクッキー削除といった設定は存在していてもブラウザ限定プロキシ設定やアドオン概念が存在しない為、現状ではスマホアプリ未満の完成度としか言えません。このブラウザの唯一のメリットはWebXR/WebVRが使える事だけでしょう。また、他のブラウザに逃げようにもViveportにサード系ブラウザは実質存在しない(火狐VRを引き継いだ物でWolvicが存在しているようですが、アプリのスクショを見ると標準ブラウザと外見がほぼ同一かつ標準ブラでも火狐系特有の画面が一部見れてるので未検証)為、VR空間上で本格的にブラウジングしたいならVDやXSOverlay経由によるブラウジングを推奨しておきます。",{"type":22,"tag":72,"props":1385,"children":1387},{"id":1386},"パススルーmr",[1388],{"type":28,"value":1389},"＞パススルー/MR",{"type":22,"tag":31,"props":1391,"children":1392},{},[1393],{"type":28,"value":1394},"WinMR開発打ち切りを観測していた身としては少々期待していたのですが、結論から言えば少なくともこのモデルではMR要素を期待しないほうがいいです。外部カメラは移動すればデジタル系特有のカラーのにじみを認識できてしまいますし、付属のMR作業向けVive Deskはセットアップ途中でクラッシュ(PC側のVAC許可要求が永遠ループした後にFocus Vision側のアプリがクラッシュしてホームに戻されます)するので未評価に。これならVDといったPCVR上にデスクトップを仮想的に浮かべるか、VRC内でバーチャルアバターと共にPC操作がセットでできるXSOverlayを使用する使い方をした方が遥かに良い体験になると思いましたね。ちなみにどうしてもパススルーを使うならPC画面をパススルー経由で見る事だけは必要でない限りやめた方がいいです。外部カメラFPSが不足しているのか、この手のもので酔う事が無い私でも酔う感覚に襲われたので。",{"type":22,"tag":72,"props":1396,"children":1398},{"id":1397},"物理ハンドコントローラー",[1399],{"type":28,"value":1400},"＞物理ハンドコントローラー",{"type":22,"tag":31,"props":1402,"children":1403},{},[1404],{"type":28,"value":1405},"CV1からの移行者としてはコントローラー上部に輪っかが付いたのが少々気になりました。他に問題があるとすれば人差し指向けトリガーがスタンドアローン動作時にキーボード入力で正しく反応しない事が目立つ程に発生する事でしょうか。PCVR中でもVRC等で使用しているとちょっとコントローラーのトリガーに触れるだけですぐ反応してしまったりと感度が良すぎる反応をするといったような事が起きているので、ここまでの挙動を見るからにコントローラーの出来自体が悪いといっても良いのかもしれません。",{"type":22,"tag":23,"props":1407,"children":1409},{"id":1408},"アルトラトラッキングシステム全般関連",[1410],{"type":28,"value":1411},"アルトラ/トラッキングシステム全般関連",{"type":22,"tag":72,"props":1413,"children":1415},{"id":1414},"アルトラ",[1416],{"type":28,"value":1417},"＞アルトラ",{"type":22,"tag":31,"props":1419,"children":1420},{},[1421],{"type":28,"value":1422},"今後、今開発中のゲーム「Eternity」でモックアップあるいはプロダクションレベルに整えられるならトラッカーによるアニメーションデータ作成に使う&ついにVRCに興味が出始めたのもあって購入しました。本来はViveシリーズで言うところのベースステーション方式が個人モーキャプで最適解なのは理解していますが、元々部屋が狭いのとOculus CV1時にもベースステーションと同様に設置していたレーザー照射範囲が遮られてしまう程の配置しか行えなかったので、今回はアルトラを採用しました。\n既にVRCでアバター開発と同時にいろいろと試してはいますが、少なくとも購入前に想定した精度よりも良好に思える程の精度です。Kinect->CV1->アルトラまでを実際に辿ってきた身としてはよくまあこの精度をベースステーションでなくとも出せるなと思える位には高精度です。(Mocopi等の話もリアルタイムに聞いていたので尚更、精度面ではここまで出来る事に驚いています) インサイドアウト方式が如何に日本のルームスケールの現状とマッチしているかがよく理解らせられました。",{"type":22,"tag":31,"props":1424,"children":1425},{},[1426],{"type":28,"value":1427},"トラックロスト絡みの話としては、極端にトラッカーカメラの視界が遮られる・光量が不足あるいは過剰になるとトラックロストしますが、基本的には1度SteamVR上のキャリブレーションを終えてからのトラック回復は早い方です。しかし、トラックロストしてからAFK等の理由でしばらく時間をあける・ロストさせた際に固定していたアルトラを物理的に外してから再装着するといったような極端なリアルの位置変動があるとなかなかトラックが再開されないケースが多いようです。こうなるとじっくりと再認識されるまでウロウロしながら待つか、アルトラの電源を落として再びキャリブレをするか...といった事になります。このような欠点もあるのでVRCのようなリアルタイムが重視され、再トラックする時間的余裕がないライブイベントといったシチュエーションで使用する場合はStandable: Full Body Estimationのような予測補間による仮想トラッカー追加＋物理トラッカーロスト時のフォールバックを担えるツールとセットで運用するとある程度はこの問題を克服できそうですね。この辺りはベースステーション勢が羨ましくはなりますね。",{"type":22,"tag":31,"props":1429,"children":1430},{},[1431],{"type":22,"tag":35,"props":1432,"children":1435},{"href":1433,"rel":1434},"https://store.steampowered.com/app/2370570/Standable_Full_Body_Estimation/",[39],[1436],{"type":28,"value":1437},"Standable: Full Body Estimation",{"type":22,"tag":31,"props":1439,"children":1440},{},[1441],{"type":28,"value":1442},"ここからは欠点を重点的に挙げますが、大雑把に言うと精度よりもアルトラで気にするべき点はどちらかと言うとキャリブレーションや部屋の光量調整でしょうか。",{"type":22,"tag":31,"props":1444,"children":1445},{},[1446],{"type":28,"value":1447},"まず、キャリブレーションについてですが、主にキャリブレーションはPCVRではViveHubとSteamVRで2つのキャリブレーションが必要になります。ViveHub側のルームスキャン型のキャリブレーションは1度済ませてしまえば時々やり直す(ファームウェアアプデなどで稀にある)事がある程度で問題はないですが、一番問題があるのはSteamVR側のスペースキャリブレーションです。",{"type":22,"tag":31,"props":1449,"children":1450},{},[1451,1453,1458],{"type":28,"value":1452},"まず、アルトラ自体を最低限1つは不正確な位置であれトラック状態 ",{"type":22,"tag":149,"props":1454,"children":1455},{},[1456],{"type":28,"value":1457},"(キャリブレーションUI右上のトラッカー接続状態マークに(!)マークがついていないアルトラが最低1つ存在する必要がある)",{"type":28,"value":1459}," になっていないとスペースキャリブレーション自体が最初の手順でエラーによりやり直しになります。日によってはそこまで素直にトラックしてくれない場合もあるので苦労する場合もあれば、すんなりとキャリブレーションを進められる場合もあります。そして次のアルトラデバイス間の同期手順についても、具体的な同期手順が「トラッカーを拾う」としかガイドUIには書かれておらず、とりあえず装着したまま近くに並べて見たり、手に持ってゆらゆらさせてみたりと、これを行って同期されやすいかどうかもその時々次第、上手くいかない場合はアルトラの電源を切り直して再キャリブレーションしても上手く同期されたりされなかったり、つまりアルトラのご機嫌次第でキャリブレに掛かる時間が大幅に変わります。個人的にはキャリブレに使用したトラッカーの両隣に未同期状態のトラッカーを横並びに並べて認識するまで静止させるか、手で横並びになる形で持ち続けながらゆっくりとプレイエリアの中心で部屋を撮影するような感じでゆっくりと回る、あるいは2台を片手に1台を片手に持って2台のアルトラから1台のアルトラを視界に収めるという方法が認識しやすいように思えますが、今のところ確実に安定した同期方法は発見できておらず、この辺りの説明がSteam/Vive公式共にされておらず、不確実な動作をする点が煩わしく感じています。",{"type":22,"tag":31,"props":1461,"children":1462},{},[1463],{"type":28,"value":1464},"次に光量についての注意として、特に快晴の日に遮光カーテンが無く、部屋が太陽光で明るくなっている場合は一般的なカーテンを使って光量を調整していてもトラッカー自体がキャリブレーション段階で認識しないので、とにかく極端な低・高光量には弱いようです。部屋で物理的に光量調整を行える手段がない場合はその時間帯での使用が出来ないと言って良いでしょう。",{"type":22,"tag":72,"props":1466,"children":1468},{"id":1467},"ハンドコントローラーのトラック精度について",[1469],{"type":28,"value":1470},"＞ハンドコントローラーのトラック精度について",{"type":22,"tag":31,"props":1472,"children":1473},{},[1474],{"type":28,"value":1475},"ハンドコントローラーのトラック精度についてはVRCをそこそこプレイした上での評価として、特に「プレイヤーがTポーズと同様に、顔を正面に向けながら腕を限界まで広げる・HMD本体前面に接触する程の至近距離にコントローラーを近づける」とトラック用カメラの視界から外れる/近すぎて認識できないせいかトラックが必ず飛びます。つまり後ろに手を回すといったポーズはハンドコントローラーではトラック出来ないと言って良いでしょう。(リストトラッカーオプションが存在するようなのでこれならトラック出来るかもしれませんが未購入の為、詳細は不明です)CV1を経験しているとその辺りが一切問題になりにくかったのを思い返すと自由度が狭められた事に気づいてしまうのが難点です。",{"type":22,"tag":72,"props":1477,"children":1479},{"id":1478},"ハンドトラックコントロール",[1480],{"type":28,"value":1481},"＞ハンドトラックコントロール",{"type":22,"tag":31,"props":1483,"children":1484},{},[1485],{"type":28,"value":1486},"外部カメラの背景に手以外の物がどれだけ映り込むか/部屋の明るさや影といった要素次第で精度が大幅に変わります。ただしハンドトラックではスティック操作が出来ない様なので実質コントローラー充電中の代替操作手段として使うぐらいです。また、特にPCVR中はスタンドアローンOS側でハンドトラックコントローラーは無効にしないと物理コントローラーと操作が干渉するので必ず無効化してからPCVRに入った方が良いでしょう。",{"type":22,"tag":72,"props":1488,"children":1490},{"id":1489},"アイトラッキング",[1491],{"type":28,"value":1492},"＞アイトラッキング",{"type":22,"tag":31,"props":1494,"children":1495},{},[1496],{"type":28,"value":1497},"既に他所のレビューでも見かけるようにドライバといったソフトウェア側がまだ未成熟だと感じましたが、安定している時は悪くない印象でした。どちらかというと問題になるのはアイトラ情報にアクセスする際の関連ドキュメント、特にVRCアイトラで使用するケースでは少々ややこしい事になる場合もあるようです。",{"type":22,"tag":31,"props":1499,"children":1500},{},[1501],{"type":28,"value":1502},"まずFocus VisionのアイトラをVRCで動作させる手段は現時点で2種類あり",{"type":22,"tag":31,"props":1504,"children":1505},{},[1506],{"type":22,"tag":149,"props":1507,"children":1508},{},[1509],{"type":28,"value":1510},"1、Vive Hub/OSC経由設定でシンプルにストリームするオプションを使う",{"type":22,"tag":31,"props":1512,"children":1513},{},[1514],{"type":28,"value":1515},"発売初期の1ヶ月前後で動作しないという声が多かったようですが今は動作します。精度も私が購入した直後のファームウェアでは目が途中でつっかえるような挙動をする場合がありましたが、後のアプデにより少なくともEyeLookについては安定したようです。(瞬き認識については2番目の手段を採用した為に未確認です) ただしこの方法はアバター側の対応は勿論の事、対応手法としてVRC SDK 3.0標準のEyeLook & Blink設定等をベースにする方式で構築されているアバターのみでしか利用できないはずです。",{"type":22,"tag":31,"props":1517,"children":1518},{},[1519],{"type":22,"tag":149,"props":1520,"children":1521},{},[1522],{"type":28,"value":1523},"2、Vive SDKのsr_runtime.exe(SRanipal) + VRCFTを経由する",{"type":22,"tag":31,"props":1525,"children":1526},{},[1527],{"type":28,"value":1528},"この手法は過去のVive HMD系を継続して利用している方やその他のメーカー製のトラッカー群で得られた情報を統合してOSC経由で送受信する際によく用いられる手法のようです。実際にフルスクラッチアバター開発をしたので言える事ですが、VRCFT専用のOSCパラメータはかなり詳細なトラックデータをアバターに渡すように設定出来るので、トラック情報を活かしてAnimControllerを自主的に構築できるのであれば、アイ・フェイス・他トラッカー複合民は1番目の手段よりも自然とこちらのやり方に落ち着くのではないでしょうか。ちなみにこちらの手法でアイトラを行う場合、sr_runtimeが必須となりますが、これの入手についてが少々厄介な事になっていまして... それについては以下のnote記事を読めば解決出来るでしょう。",{"type":22,"tag":31,"props":1530,"children":1531},{},[1532],{"type":22,"tag":35,"props":1533,"children":1536},{"href":1534,"rel":1535},"https://note.com/giasupe/n/n9c6d5ed21195",[39],[1537],{"type":28,"value":1538},"Focus Visionでアイ・フェイストラッキングするための備忘録(VRCFT)",{"type":22,"tag":31,"props":1540,"children":1541},{},[1542],{"type":28,"value":1543},"いずれにせよ、VRCのアイトラ手段の選択については「SDK標準の設定のみしか行われていないのか or アバター自体がそもそもVRCFTのパラメータに対応させているのか」が手段選択のキーとなるので、正直な所、専用のアイトラ等を使用する時点でViveHubに用意された機能を使うよりはVRCFTを使う事の方が多いでしょうか。(まだVRC経験が浅いのでその辺りの現状は知らないのでなんともですが)",{"type":22,"tag":72,"props":1545,"children":1547},{"id":1546},"フェイストラッキング",[1548],{"type":28,"value":1549},"＞フェイストラッキング",{"type":22,"tag":31,"props":1551,"children":1552},{},[1553],{"type":28,"value":1554},"再入荷待ちで購入できなかったので未検証です。今のところ入荷したら買ってみたいと考えてはいるのでいつかこの記事に追記されるかもしれません。",{"type":22,"tag":72,"props":1556,"children":1558},{"id":1557},"リストトラッカー",[1559],{"type":28,"value":1560},"＞リストトラッカー",{"type":22,"tag":31,"props":1562,"children":1563},{},[1564],{"type":28,"value":1565},"記事を書いている合間に公式のオプションを見に行って初めて知ったオプションなので未購入です。今のところアルトラがあるならそれだけでも十分だと思うので優先度は低いですが「ハンドトラッキングを強化したり、現実世界のオブジェクトをバーチャルリアリティに取り込むことができます」という公式説明があるのが少々気になってはいます。本格的なモーキャプをやり始めるようになったら購入を検討するかもしれませんが、今の段階では見送る予定です。",{"type":22,"tag":23,"props":1567,"children":1568},{"id":554},[1569],{"type":28,"value":554},{"type":22,"tag":31,"props":1571,"children":1572},{},[1573],{"type":28,"value":1574},"レビューはこれで終了です。雑レビューと言っておきながら書き込み過ぎました(いつもの) まあ、ここまで読まれた方であれば察しがつくでしょう。少なくともFocus Visionは万人向けのモデルでは無いですね。値段もMeta系と比較するとフルセット揃えればかなりお高いので... 私の場合は本当にいいタイミングで余剰資金が出来たのがあったからというのと、特にOclus/Meta/他何かしらに極端に特化したVR機器メーカーよりもトラック精度を強みとしていたHTCに元々興味があった事、また「CV1水準を少なくとも上回り、どの機能も可能であれば欠ける事なく上位になるモデル」を選択するという購入条件を考えていたので消去法でこの機種が選ばれたというだけの事で、元からお金持ちでも何でもありませんが、少なくともゲームしかやらない人はまずこの機種に手を出すこと自体が非常に勿体ないので考え直したほうが良いでしょう。少なくともVR自体を単なるゲーム・娯楽体験だけの目的で使用するのではなく、それに付属するトラッカーフルセットを活かして独自のアニメーションを作成したいだとか、自身でアバターをフルスクラッチする際に、センサー系の情報を自由にコントロールしてアバターを活き活きとさせてみたいだとか、このモデルはそういったようなクリエイティブ要素を購入の動機に含めていれば、そのニーズを満たしてくれる珍しいモデルです。",{"type":22,"tag":31,"props":1576,"children":1577},{},[1578],{"type":22,"tag":487,"props":1579,"children":1580},{},[1581],{"type":28,"value":1582},"(こんな事を言ってはアレですが、本当に消費者だけの目線で言えばVRブーム自体は既に過ぎ去り、VRゲームは売れないと企業からは距離を置かれ、出てくるVRゲームはインディーズでも定着するほどの斬新さがあるゲームが時々、極少数短期間で登場するだけで、結局はVRC or フラシム or アダルト用途に戻るというVR界の状況としては冷ややかな時点でただ遊ぶだけなら...ね? あとは分かるでしょう?)",{"type":22,"tag":31,"props":1584,"children":1585},{},[1586],{"type":28,"value":1587},"参考になる人はどれだけいるかは分かりかねますが、検討していた方がもし閲覧していて参考になったのであれば良いですね。海外勢のレビュワーでは返品する話も観測していましたが、私はそこまでするほどではないと思いますよ。少なくとも...今のところは(頭をよぎるno hdmi問題ぇ)",{"title":7,"searchDepth":568,"depth":568,"links":1589},[1590,1591,1592,1598,1599,1600,1601,1602,1603,1604,1605,1606,1607,1608,1609,1610,1611,1612,1613,1614,1615,1616],{"id":1113,"depth":568,"text":1116},{"id":1152,"depth":568,"text":1155},{"id":1163,"depth":568,"text":1166,"children":1593},[1594,1596],{"id":1174,"depth":575,"text":1595},"・「Focus Vision・アルトラ 3+1キット」購入 / 「DP接続キット」未購入",{"id":1196,"depth":575,"text":1597},"・「Focus Vision・アルトラ 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と推察して実際に試したら期待以上の成果が出たので、その報告レポ・統合方法を解説します。","2024-04-07T03:53:00.000Z","/blog/20240407/media/thum.webp",[1626,1627,1628,1629,1630],"FeatureSpotlight","AI","LLM","Note","ProblemSolving",{"type":19,"children":1632,"toc":6404},[1633,1638,1643,1653,1658,1675,1680,1689,1694,1710,1726,1731,1736,1741,1747,1752,1766,1772,1777,1783,1788,1800,1806,1812,1817,1829,1835,1840,1853,2027,2033,2038,2302,2308,2313,2667,2672,2682,2694,3006,3018,3023,3029,3034,3039,3044,3049,3055,3060,3066,3071,3082,3094,3344,3350,3355,3360,3371,3379,3384,3392,3397,3405,3410,3418,3423,3429,3434,3440,3466,3472,3488,3493,5046,5051,5056,5062,5067,5080,5085,5091,5096,5106,5111,5116,5122,5127,5133,5138,5144,5152,5157,5163,5171,5176,5505,5510,5515,5520,5525,5530,5535,5541,5546,5554,6060,6065,6073,6324,6329,6335,6340,6345,6351,6363,6368,6378,6383,6388,6393,6398],{"type":22,"tag":31,"props":1634,"children":1635},{},[1636],{"type":28,"value":1637},"これまで様々なローカルモデルが登場してきた。70Bといったローカルで動作させるには業務用グレードのA1000といったようなGPUをx枚といったような環境を整えればChatGPTクラスの代物を動かせる。\nそんな話題は散々聞いてきた。だが、一般人としての目線で見るとするなら、ご家庭一般クラス基準で動かすにせよRTX 4090シングルカードといったグレードが関の山。\nしかしローカルLLMはそう甘くはない。シングルカード動作かつコンシューマーグレード前提ともなれば、どれもGPT-4はおろかGPT-3.5の足元にも及ばないモデルが多く、特に日本語の出力精度・純粋なロールプレイ型チャット性能を問おうとすると、出力こそ可能でもイマイチ体感的にぱっとしないモデルが昨年から登場し続けてきた。",{"type":22,"tag":31,"props":1639,"children":1640},{},[1641],{"type":28,"value":1642},"そんな中 2024年 3月の終わり頃、Cohere社によりあるローカルLLMモデルが一般公開された。",{"type":22,"tag":31,"props":1644,"children":1645},{},[1646],{"type":22,"tag":35,"props":1647,"children":1650},{"href":1648,"rel":1649},"https://huggingface.co/CohereForAI/c4ai-command-r-v01",[39],[1651],{"type":28,"value":1652},"HuggingFace - 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が使用され始める直前のブランチをチェックアウトします。\n",{"type":22,"tag":1866,"props":1929,"children":1931},{"class":1868,"line":1930},6,[1932,1936],{"type":22,"tag":1866,"props":1933,"children":1934},{"style":1873},[1935],{"type":28,"value":1876},{"type":22,"tag":1866,"props":1937,"children":1938},{"style":1879},[1939],{"type":28,"value":1940}," commit - Sampling: Add additive param to overrides / https://github.com/theroyallab/tabbyAPI/commit/d716527b928e86faf65baa500c18be59cc1d1053\n",{"type":22,"tag":1866,"props":1942,"children":1944},{"class":1868,"line":1943},7,[1945],{"type":22,"tag":1866,"props":1946,"children":1947},{"style":1888},[1948],{"type":28,"value":1949},"git checkout 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3.11\n",{"type":22,"tag":1866,"props":1981,"children":1983},{"class":1868,"line":1982},11,[1984],{"type":22,"tag":1866,"props":1985,"children":1986},{"emptyLinePlaceholder":1911},[1987],{"type":28,"value":1914},{"type":22,"tag":1866,"props":1989,"children":1991},{"class":1868,"line":1990},12,[1992,1996],{"type":22,"tag":1866,"props":1993,"children":1994},{"style":1873},[1995],{"type":28,"value":1876},{"type":22,"tag":1866,"props":1997,"children":1998},{"style":1879},[1999],{"type":28,"value":2000}," pyproject.tomlが付属しているのでsyncすればすぐに準備が整います。\n",{"type":22,"tag":1866,"props":2002,"children":2004},{"class":1868,"line":2003},13,[2005],{"type":22,"tag":1866,"props":2006,"children":2007},{"style":1888},[2008],{"type":28,"value":2009},"rye 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print(\"Ignoring pip dependency upgrade due to user request.\")\n    else:\n        install_features = None if args.nowheel else get_install_features()\n        features = f\"[{install_features}]\" if install_features else \"\"\n\n        # pip install .[features]\n        print(\"[YKRV]Skip pip features install\")\n        # 以下の処理をコメントアウト。必要に応じて分岐処理だのを書いて任意で更新できるようにしてもいいかも\n        # install_command = f\"pip install -U .{features}\"\n        # print(f\"Running install command: {install_command}\")\n        # subprocess.run(install_command.split(\" \"))\n\n    # Import entrypoint after installing all requirements\n    from main import entrypoint\n","start.py","python",[2045],{"type":22,"tag":1862,"props":2046,"children":2047},{"__ignoreMap":7},[2048,2061,2086,2099,2137,2197,2204,2212,2232,2240,2248,2256,2264,2271,2279],{"type":22,"tag":1866,"props":2049,"children":2050},{"class":1868,"line":1869},[2051,2056],{"type":22,"tag":1866,"props":2052,"children":2053},{"style":1873},[2054],{"type":28,"value":2055},"    if",{"type":22,"tag":1866,"props":2057,"children":2058},{"style":1888},[2059],{"type":28,"value":2060}," args.ignore_upgrade:\n",{"type":22,"tag":1866,"props":2062,"children":2063},{"class":1868,"line":568},[2064,2070,2075,2081],{"type":22,"tag":1866,"props":2065,"children":2067},{"style":2066},"--shiki-default:#79B8FF",[2068],{"type":28,"value":2069},"        print",{"type":22,"tag":1866,"props":2071,"children":2072},{"style":1888},[2073],{"type":28,"value":2074},"(",{"type":22,"tag":1866,"props":2076,"children":2078},{"style":2077},"--shiki-default:#9ECBFF",[2079],{"type":28,"value":2080},"\"Ignoring pip 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f",{"type":22,"tag":1866,"props":2155,"children":2156},{"style":2077},[2157],{"type":28,"value":2158},"\"[",{"type":22,"tag":1866,"props":2160,"children":2161},{"style":2066},[2162],{"type":28,"value":2163},"{",{"type":22,"tag":1866,"props":2165,"children":2166},{"style":1888},[2167],{"type":28,"value":2168},"install_features",{"type":22,"tag":1866,"props":2170,"children":2171},{"style":2066},[2172],{"type":28,"value":2173},"}",{"type":22,"tag":1866,"props":2175,"children":2176},{"style":2077},[2177],{"type":28,"value":2178},"]\"",{"type":22,"tag":1866,"props":2180,"children":2181},{"style":1873},[2182],{"type":28,"value":2121},{"type":22,"tag":1866,"props":2184,"children":2185},{"style":1888},[2186],{"type":28,"value":2187}," install_features ",{"type":22,"tag":1866,"props":2189,"children":2190},{"style":1873},[2191],{"type":28,"value":2131},{"type":22,"tag":1866,"props":2193,"children":2194},{"style":2077},[2195],{"type":28,"value":2196}," \"\"\n",{"type":22,"tag":1866,"props":2198,"children":2199},{"class":1868,"line":1930},[2200],{"type":22,"tag":1866,"props":2201,"children":2202},{"emptyLinePlaceholder":1911},[2203],{"type":28,"value":1914},{"type":22,"tag":1866,"props":2205,"children":2206},{"class":1868,"line":1943},[2207],{"type":22,"tag":1866,"props":2208,"children":2209},{"style":1879},[2210],{"type":28,"value":2211},"        # pip install .[features]\n",{"type":22,"tag":1866,"props":2213,"children":2214},{"class":1868,"line":1952},[2215,2219,2223,2228],{"type":22,"tag":1866,"props":2216,"children":2217},{"style":2066},[2218],{"type":28,"value":2069},{"type":22,"tag":1866,"props":2220,"children":2221},{"style":1888},[2222],{"type":28,"value":2074},{"type":22,"tag":1866,"props":2224,"children":2225},{"style":2077},[2226],{"type":28,"value":2227},"\"[YKRV]Skip pip features install\"",{"type":22,"tag":1866,"props":2229,"children":2230},{"style":1888},[2231],{"type":28,"value":2085},{"type":22,"tag":1866,"props":2233,"children":2234},{"class":1868,"line":1960},[2235],{"type":22,"tag":1866,"props":2236,"children":2237},{"style":1879},[2238],{"type":28,"value":2239},"        # 以下の処理をコメントアウト。必要に応じて分岐処理だのを書いて任意で更新できるようにしてもいいかも\n",{"type":22,"tag":1866,"props":2241,"children":2242},{"class":1868,"line":1973},[2243],{"type":22,"tag":1866,"props":2244,"children":2245},{"style":1879},[2246],{"type":28,"value":2247},"        # install_command = f\"pip install -U .{features}\"\n",{"type":22,"tag":1866,"props":2249,"children":2250},{"class":1868,"line":1982},[2251],{"type":22,"tag":1866,"props":2252,"children":2253},{"style":1879},[2254],{"type":28,"value":2255},"        # print(f\"Running install command: {install_command}\")\n",{"type":22,"tag":1866,"props":2257,"children":2258},{"class":1868,"line":1990},[2259],{"type":22,"tag":1866,"props":2260,"children":2261},{"style":1879},[2262],{"type":28,"value":2263},"        # subprocess.run(install_command.split(\" \"))\n",{"type":22,"tag":1866,"props":2265,"children":2266},{"class":1868,"line":2003},[2267],{"type":22,"tag":1866,"props":2268,"children":2269},{"emptyLinePlaceholder":1911},[2270],{"type":28,"value":1914},{"type":22,"tag":1866,"props":2272,"children":2273},{"class":1868,"line":2012},[2274],{"type":22,"tag":1866,"props":2275,"children":2276},{"style":1879},[2277],{"type":28,"value":2278},"    # Import entrypoint after installing all requirements\n",{"type":22,"tag":1866,"props":2280,"children":2281},{"class":1868,"line":2020},[2282,2287,2292,2297],{"type":22,"tag":1866,"props":2283,"children":2284},{"style":1873},[2285],{"type":28,"value":2286},"    from",{"type":22,"tag":1866,"props":2288,"children":2289},{"style":1888},[2290],{"type":28,"value":2291}," main ",{"type":22,"tag":1866,"props":2293,"children":2294},{"style":1873},[2295],{"type":28,"value":2296},"import",{"type":22,"tag":1866,"props":2298,"children":2299},{"style":1888},[2300],{"type":28,"value":2301}," entrypoint\n",{"type":22,"tag":72,"props":2303,"children":2305},{"id":2304},"_2-2-環境構築-tabbyapi-config調整",[2306],{"type":28,"value":2307},"2-2. 環境構築 - TabbyAPI: config調整",{"type":22,"tag":31,"props":2309,"children":2310},{},[2311],{"type":28,"value":2312},"modelsディレクトリに量子化済みモデルを配置した後にconfig_sample.ymlを参考にconfig.ymlを作成します。今回作成したconfig.ymlは以下の通りです。",{"type":22,"tag":1854,"props":2314,"children":2319},{"className":2315,"code":2316,"filename":2317,"language":2318,"meta":7,"style":7},"language-yaml shiki shiki-themes github-dark","network:\n  # 環境に合わせてお好みで\n  host: 0.0.0.0\n  port: 5000\n  disable_auth: False\nlogging:\n  # レスポンスをウォッチする為にログ出力を有効化してます\n  prompt: True\n  generation_params: True\nsampling:\n  # これは .\\sampler_overrides\\sample_preset.yml を指しています。\n  # top_k,temperatureといったお馴染みのパラメータをいかなる推論リクエストにも適応する強制オーバーライドオプションが設定出来るので任意の設定を行いましょう。\n  override_preset: sample_preset\nmodel:\n  model_dir: models\n  # modeldirに配置したモデルディレクトリ名に差し替えましょう。今回は以下のように設定しています。\n  model_name: c4ai-command-r-v01-jp-inst-3.8bpw\n  # memGPTでは1回のリクエストでかなりのコンテクストが入力されるので多めに定義しておくと良いでしょう。こちらの環境では RTX 4096では4096でギリギリ動作しましたが、これ以上の値を設定するとOOMします。\n  max_seq_len: 4096\n  # 4bitキャッシュモードを使用しないとOOMします\n  cache_mode: Q4\n  # これは .\\templates\\xxxx.jinja を指しています。このテンプレートは memGPTの場合はAPIリクエストにカスタムプロンプトが載せられているので\n  # ここで定義したテンプレートは使用されませんが、何かしら指定しないと起動時にchat apiリクエストが無効化されて起動してしまうので、チャットモード無効化を回避の為に適当なモノを指定しておきます\n  prompt_template: chatml\n  # 読み込みが早くなるとの事で有効化してます。特にこちらの環境では問題なく動作してます。\n  fasttensors: true\n","config.yml","yaml",[2320],{"type":22,"tag":1862,"props":2321,"children":2322},{"__ignoreMap":7},[2323,2336,2344,2362,2379,2396,2408,2416,2433,2449,2461,2469,2477,2494,2506,2523,2532,2550,2559,2577,2586,2604,2613,2622,2640,2649],{"type":22,"tag":1866,"props":2324,"children":2325},{"class":1868,"line":1869},[2326,2332],{"type":22,"tag":1866,"props":2327,"children":2329},{"style":2328},"--shiki-default:#85E89D",[2330],{"type":28,"value":2331},"network",{"type":22,"tag":1866,"props":2333,"children":2334},{"style":1888},[2335],{"type":28,"value":2098},{"type":22,"tag":1866,"props":2337,"children":2338},{"class":1868,"line":568},[2339],{"type":22,"tag":1866,"props":2340,"children":2341},{"style":1879},[2342],{"type":28,"value":2343},"  # 環境に合わせてお好みで\n",{"type":22,"tag":1866,"props":2345,"children":2346},{"class":1868,"line":575},[2347,2352,2357],{"type":22,"tag":1866,"props":2348,"children":2349},{"style":2328},[2350],{"type":28,"value":2351},"  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disable_auth",{"type":22,"tag":1866,"props":2388,"children":2389},{"style":1888},[2390],{"type":28,"value":2356},{"type":22,"tag":1866,"props":2392,"children":2393},{"style":2066},[2394],{"type":28,"value":2395},"False\n",{"type":22,"tag":1866,"props":2397,"children":2398},{"class":1868,"line":1930},[2399,2404],{"type":22,"tag":1866,"props":2400,"children":2401},{"style":2328},[2402],{"type":28,"value":2403},"logging",{"type":22,"tag":1866,"props":2405,"children":2406},{"style":1888},[2407],{"type":28,"value":2098},{"type":22,"tag":1866,"props":2409,"children":2410},{"class":1868,"line":1943},[2411],{"type":22,"tag":1866,"props":2412,"children":2413},{"style":1879},[2414],{"type":28,"value":2415},"  # レスポンスをウォッチする為にログ出力を有効化してます\n",{"type":22,"tag":1866,"props":2417,"children":2418},{"class":1868,"line":1952},[2419,2424,2428],{"type":22,"tag":1866,"props":2420,"children":2421},{"style":2328},[2422],{"type":28,"value":2423},"  prompt",{"type":22,"tag":1866,"props":2425,"children":2426},{"style":1888},[2427],{"type":28,"value":2356},{"type":22,"tag":1866,"props":2429,"children":2430},{"style":2066},[2431],{"type":28,"value":2432},"True\n",{"type":22,"tag":1866,"props":2434,"children":2435},{"class":1868,"line":1960},[2436,2441,2445],{"type":22,"tag":1866,"props":2437,"children":2438},{"style":2328},[2439],{"type":28,"value":2440},"  generation_params",{"type":22,"tag":1866,"props":2442,"children":2443},{"style":1888},[2444],{"type":28,"value":2356},{"type":22,"tag":1866,"props":2446,"children":2447},{"style":2066},[2448],{"type":28,"value":2432},{"type":22,"tag":1866,"props":2450,"children":2451},{"class":1868,"line":1973},[2452,2457],{"type":22,"tag":1866,"props":2453,"children":2454},{"style":2328},[2455],{"type":28,"value":2456},"sampling",{"type":22,"tag":1866,"props":2458,"children":2459},{"style":1888},[2460],{"type":28,"value":2098},{"type":22,"tag":1866,"props":2462,"children":2463},{"class":1868,"line":1982},[2464],{"type":22,"tag":1866,"props":2465,"children":2466},{"style":1879},[2467],{"type":28,"value":2468},"  # これは .\\sampler_overrides\\sample_preset.yml を指しています。\n",{"type":22,"tag":1866,"props":2470,"children":2471},{"class":1868,"line":1990},[2472],{"type":22,"tag":1866,"props":2473,"children":2474},{"style":1879},[2475],{"type":28,"value":2476},"  # top_k,temperatureといったお馴染みのパラメータをいかなる推論リクエストにも適応する強制オーバーライドオプションが設定出来るので任意の設定を行いましょう。\n",{"type":22,"tag":1866,"props":2478,"children":2479},{"class":1868,"line":2003},[2480,2485,2489],{"type":22,"tag":1866,"props":2481,"children":2482},{"style":2328},[2483],{"type":28,"value":2484},"  override_preset",{"type":22,"tag":1866,"props":2486,"children":2487},{"style":1888},[2488],{"type":28,"value":2356},{"type":22,"tag":1866,"props":2490,"children":2491},{"style":2077},[2492],{"type":28,"value":2493},"sample_preset\n",{"type":22,"tag":1866,"props":2495,"children":2496},{"class":1868,"line":2012},[2497,2502],{"type":22,"tag":1866,"props":2498,"children":2499},{"style":2328},[2500],{"type":28,"value":2501},"model",{"type":22,"tag":1866,"props":2503,"children":2504},{"style":1888},[2505],{"type":28,"value":2098},{"type":22,"tag":1866,"props":2507,"children":2508},{"class":1868,"line":2020},[2509,2514,2518],{"type":22,"tag":1866,"props":2510,"children":2511},{"style":2328},[2512],{"type":28,"value":2513},"  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model_name",{"type":22,"tag":1866,"props":2542,"children":2543},{"style":1888},[2544],{"type":28,"value":2356},{"type":22,"tag":1866,"props":2546,"children":2547},{"style":2077},[2548],{"type":28,"value":2549},"c4ai-command-r-v01-jp-inst-3.8bpw\n",{"type":22,"tag":1866,"props":2551,"children":2553},{"class":1868,"line":2552},18,[2554],{"type":22,"tag":1866,"props":2555,"children":2556},{"style":1879},[2557],{"type":28,"value":2558},"  # memGPTでは1回のリクエストでかなりのコンテクストが入力されるので多めに定義しておくと良いでしょう。こちらの環境では RTX 4096では4096でギリギリ動作しましたが、これ以上の値を設定するとOOMします。\n",{"type":22,"tag":1866,"props":2560,"children":2562},{"class":1868,"line":2561},19,[2563,2568,2572],{"type":22,"tag":1866,"props":2564,"children":2565},{"style":2328},[2566],{"type":28,"value":2567},"  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\"mirostat_eta\"",{"type":22,"tag":1866,"props":2969,"children":2970},{"style":1888},[2971],{"type":28,"value":2356},{"type":22,"tag":1866,"props":2973,"children":2974},{"style":2066},[2975],{"type":28,"value":2976},"0.1",{"type":22,"tag":1866,"props":2978,"children":2979},{"style":1888},[2980],{"type":28,"value":2733},{"type":22,"tag":1866,"props":2982,"children":2983},{"class":1868,"line":2020},[2984,2989,2993],{"type":22,"tag":1866,"props":2985,"children":2986},{"style":2066},[2987],{"type":28,"value":2988},"  \"penalize_nl\"",{"type":22,"tag":1866,"props":2990,"children":2991},{"style":1888},[2992],{"type":28,"value":2356},{"type":22,"tag":1866,"props":2994,"children":2995},{"style":2066},[2996],{"type":28,"value":2997},"false\n",{"type":22,"tag":1866,"props":2999,"children":3000},{"class":1868,"line":2525},[3001],{"type":22,"tag":1866,"props":3002,"children":3003},{"style":1888},[3004],{"type":28,"value":3005},"}\n",{"type":22,"tag":31,"props":3007,"children":3008},{},[3009,3011,3016],{"type":28,"value":3010},"特に重要なのが top_kとtop_pの値です。",{"type":22,"tag":149,"props":3012,"children":3013},{},[3014],{"type":28,"value":3015},"memGPTの場合、よく一般的な設定例として見かける 「top_k = 40, top_p = 0.95」 を設定してしまうと、memGPTが期待しているjsonレスポンスのテンプレートに合わない形式で推論結果を返してしまう問題が発生した",{"type":28,"value":3017},"ので、素直にmemGPTのドキュメントに書かれた値を参考にして決定すべきでしょう。",{"type":22,"tag":31,"props":3019,"children":3020},{},[3021],{"type":28,"value":3022},"ここまで設定が終わればTabbyAPIのセットアップは完了です。APIサーバーを起動した際に得られるAPIキーを控えて次の手順へ",{"type":22,"tag":72,"props":3024,"children":3026},{"id":3025},"_3-1-環境構築-memgpt-セットアップ",[3027],{"type":28,"value":3028},"3-1. 環境構築 - memGPT セットアップ",{"type":22,"tag":31,"props":3030,"children":3031},{},[3032],{"type":28,"value":3033},"memGPTはドキュメントにもあるようにWindows環境ではWSL上での動作が推奨されているので今回はそれに従います。",{"type":22,"tag":31,"props":3035,"children":3036},{},[3037],{"type":28,"value":3038},"(Python + CUDA系を用いたライブラリやプロジェクトは複雑なもの程、Windowsネイティブでは古くから\"呪われて\"いますからね...)",{"type":22,"tag":31,"props":3040,"children":3041},{},[3042],{"type":28,"value":3043},"インストール方法はpythonパッケージマネージャー経由で問題はありませんが、バージョンだけは後述している理由につき、気をつける必要があります。",{"type":22,"tag":31,"props":3045,"children":3046},{},[3047],{"type":28,"value":3048},"さて、memGPTのセットアップは 2024年04月時点ではドキュメントに一切書かれていない落とし穴が多数ありましたのでセットアップ前に必ず確認しながら作業を進めましょう。",{"type":22,"tag":178,"props":3050,"children":3052},{"id":3051},"pythonバージョン",[3053],{"type":28,"value":3054},"＞ Pythonバージョン",{"type":22,"tag":31,"props":3056,"children":3057},{},[3058],{"type":28,"value":3059},"どこかで 3.12でも動くという話を小耳に挟んで最初はそれで進めようとしましたが、これが間違いでした。(3.12の時点で気づくべきでしたが)\n2024年4月時点の 3.12 向けのビルドでは、ドキュメントに書かれている local モデル向けのextrasが含まれていません。つまり、OpenAI API版GPTにアクセスする以外の設定が行えません。\nその他にも memgpt configure コマンドが存在していません。最初に試した際にこのconfigureコマンドが存在しない理由を探す事でそこそこ時間を費やしたので\n「必ず 3.10 or 3.11 で memGPTをインストールしましょう。」 3.10 or 3.11であれば問題なくドキュメントに書かれたコマンドが機能します。なお、こちらの環境では 3.10にしておきました。",{"type":22,"tag":178,"props":3061,"children":3063},{"id":3062},"インストール後に調整する必要のあるコード-memgpt-038-向け",[3064],{"type":28,"value":3065},"＞ インストール後に調整する必要のあるコード - memgpt 0.3.8 向け",{"type":22,"tag":31,"props":3067,"children":3068},{},[3069],{"type":28,"value":3070},"0.3.8ではmemGPT推論時に以下のようなエラーが発生します。",{"type":22,"tag":1854,"props":3072,"children":3077},{"className":3073,"code":3074,"filename":3075,"language":3076,"meta":7,"style":7},"language-log","File \"/MemGPT/memgpt/local_llm/chat_completion_proxy.py\", line 209, in get_chat_completion\n    response = ChatCompletionResponse(\n  File \"/.local/lib/python3.10/site-packages/pydantic/main.py\", line 171, in __init__\n    self.__pydantic_validator__.validate_python(data, self_instance=self)\npydantic_core._pydantic_core.ValidationError: 1 validation error for ChatCompletionResponse\nmodel\n  Input should be a valid string [type=string_type, input_value=None, input_type=NoneType]\n    For further information visit https://errors.pydantic.dev/2.6/v/string_type\n","err_log.log","log",[3078],{"type":22,"tag":1862,"props":3079,"children":3080},{"__ignoreMap":7},[3081],{"type":28,"value":3074},{"type":22,"tag":31,"props":3083,"children":3084},{},[3085,3087,3092],{"type":28,"value":3086},"このエラーはMemGPTのインストールコアファイルに存在するMemGPT/memgpt/local_llm/chat_completion_proxy.pyで ",{"type":22,"tag":149,"props":3088,"children":3089},{},[3090],{"type":28,"value":3091},"208行前後",{"type":28,"value":3093}," の箇所をこのように変更する事で対処できます。",{"type":22,"tag":1854,"props":3095,"children":3098},{"className":2040,"code":3096,"filename":3097,"language":2043,"meta":7,"style":7},"  # unpack with response.choices[0].message.content\n    response = ChatCompletionResponse(\n        #\n        # 省略\n        #\n        created=get_utc_time(),\n        #\n        # 変更箇所\n        model=\"\",\n        # 元の記述:  model=model,\n        # ここより上の行に書かれた\n        # def get_chat_completion(\n        # に \"no model required (except for Ollama), since the model is fixed to whatever you set in your own backend\" という記述があるので空のstrを渡せば解決します。\n        # ※基本的にはこのように修正しないとバリデーションエラーになります。ただし、Ollamaを推論バックエンドとして使用する場合はこの変更は要らないかもしれません。\n\n        # \"This fingerprint represents the backend configuration that the model runs with.\"\n        # system_fingerprint=user if user is not None else \"null\",\n        system_fingerprint=None,\n        object=\"chat.completion\",\n        usage=UsageStatistics(**usage),\n    )\n","chat_completion_proxy.py",[3099],{"type":22,"tag":1862,"props":3100,"children":3101},{"__ignoreMap":7},[3102,3110,3127,3135,3143,3150,3168,3175,3183,3204,3212,3220,3228,3236,3244,3251,3259,3267,3288,3309,3336],{"type":22,"tag":1866,"props":3103,"children":3104},{"class":1868,"line":1869},[3105],{"type":22,"tag":1866,"props":3106,"children":3107},{"style":1879},[3108],{"type":28,"value":3109},"  # unpack with response.choices[0].message.content\n",{"type":22,"tag":1866,"props":3111,"children":3112},{"class":1868,"line":568},[3113,3118,3122],{"type":22,"tag":1866,"props":3114,"children":3115},{"style":1888},[3116],{"type":28,"value":3117},"    response ",{"type":22,"tag":1866,"props":3119,"children":3120},{"style":1873},[3121],{"type":28,"value":2111},{"type":22,"tag":1866,"props":3123,"children":3124},{"style":1888},[3125],{"type":28,"value":3126}," ChatCompletionResponse(\n",{"type":22,"tag":1866,"props":3128,"children":3129},{"class":1868,"line":575},[3130],{"type":22,"tag":1866,"props":3131,"children":3132},{"style":1879},[3133],{"type":28,"value":3134},"        #\n",{"type":22,"tag":1866,"props":3136,"children":3137},{"class":1868,"line":1907},[3138],{"type":22,"tag":1866,"props":3139,"children":3140},{"style":1879},[3141],{"type":28,"value":3142},"        # 省略\n",{"type":22,"tag":1866,"props":3144,"children":3145},{"class":1868,"line":1917},[3146],{"type":22,"tag":1866,"props":3147,"children":3148},{"style":1879},[3149],{"type":28,"value":3134},{"type":22,"tag":1866,"props":3151,"children":3152},{"class":1868,"line":1930},[3153,3159,3163],{"type":22,"tag":1866,"props":3154,"children":3156},{"style":3155},"--shiki-default:#FFAB70",[3157],{"type":28,"value":3158},"        created",{"type":22,"tag":1866,"props":3160,"children":3161},{"style":1873},[3162],{"type":28,"value":2111},{"type":22,"tag":1866,"props":3164,"children":3165},{"style":1888},[3166],{"type":28,"value":3167},"get_utc_time(),\n",{"type":22,"tag":1866,"props":3169,"children":3170},{"class":1868,"line":1943},[3171],{"type":22,"tag":1866,"props":3172,"children":3173},{"style":1879},[3174],{"type":28,"value":3134},{"type":22,"tag":1866,"props":3176,"children":3177},{"class":1868,"line":1952},[3178],{"type":22,"tag":1866,"props":3179,"children":3180},{"style":1879},[3181],{"type":28,"value":3182},"        # 変更箇所\n",{"type":22,"tag":1866,"props":3184,"children":3185},{"class":1868,"line":1960},[3186,3191,3195,3200],{"type":22,"tag":1866,"props":3187,"children":3188},{"style":3155},[3189],{"type":28,"value":3190},"        model",{"type":22,"tag":1866,"props":3192,"children":3193},{"style":1873},[3194],{"type":28,"value":2111},{"type":22,"tag":1866,"props":3196,"children":3197},{"style":2077},[3198],{"type":28,"value":3199},"\"\"",{"type":22,"tag":1866,"props":3201,"children":3202},{"style":1888},[3203],{"type":28,"value":2733},{"type":22,"tag":1866,"props":3205,"children":3206},{"class":1868,"line":1973},[3207],{"type":22,"tag":1866,"props":3208,"children":3209},{"style":1879},[3210],{"type":28,"value":3211},"        # 元の記述:  model=model,\n",{"type":22,"tag":1866,"props":3213,"children":3214},{"class":1868,"line":1982},[3215],{"type":22,"tag":1866,"props":3216,"children":3217},{"style":1879},[3218],{"type":28,"value":3219},"        # ここより上の行に書かれた\n",{"type":22,"tag":1866,"props":3221,"children":3222},{"class":1868,"line":1990},[3223],{"type":22,"tag":1866,"props":3224,"children":3225},{"style":1879},[3226],{"type":28,"value":3227},"        # def get_chat_completion(\n",{"type":22,"tag":1866,"props":3229,"children":3230},{"class":1868,"line":2003},[3231],{"type":22,"tag":1866,"props":3232,"children":3233},{"style":1879},[3234],{"type":28,"value":3235},"        # に \"no model required (except for Ollama), since the model is fixed to whatever you set in your own backend\" という記述があるので空のstrを渡せば解決します。\n",{"type":22,"tag":1866,"props":3237,"children":3238},{"class":1868,"line":2012},[3239],{"type":22,"tag":1866,"props":3240,"children":3241},{"style":1879},[3242],{"type":28,"value":3243},"        # ※基本的にはこのように修正しないとバリデーションエラーになります。ただし、Ollamaを推論バックエンドとして使用する場合はこの変更は要らないかもしれません。\n",{"type":22,"tag":1866,"props":3245,"children":3246},{"class":1868,"line":2020},[3247],{"type":22,"tag":1866,"props":3248,"children":3249},{"emptyLinePlaceholder":1911},[3250],{"type":28,"value":1914},{"type":22,"tag":1866,"props":3252,"children":3253},{"class":1868,"line":2525},[3254],{"type":22,"tag":1866,"props":3255,"children":3256},{"style":1879},[3257],{"type":28,"value":3258},"        # \"This fingerprint represents the backend configuration that the model runs with.\"\n",{"type":22,"tag":1866,"props":3260,"children":3261},{"class":1868,"line":2534},[3262],{"type":22,"tag":1866,"props":3263,"children":3264},{"style":1879},[3265],{"type":28,"value":3266},"        # system_fingerprint=user if user is not None else \"null\",\n",{"type":22,"tag":1866,"props":3268,"children":3269},{"class":1868,"line":2552},[3270,3275,3279,3284],{"type":22,"tag":1866,"props":3271,"children":3272},{"style":3155},[3273],{"type":28,"value":3274},"        system_fingerprint",{"type":22,"tag":1866,"props":3276,"children":3277},{"style":1873},[3278],{"type":28,"value":2111},{"type":22,"tag":1866,"props":3280,"children":3281},{"style":2066},[3282],{"type":28,"value":3283},"None",{"type":22,"tag":1866,"props":3285,"children":3286},{"style":1888},[3287],{"type":28,"value":2733},{"type":22,"tag":1866,"props":3289,"children":3290},{"class":1868,"line":2561},[3291,3296,3300,3305],{"type":22,"tag":1866,"props":3292,"children":3293},{"style":3155},[3294],{"type":28,"value":3295},"        object",{"type":22,"tag":1866,"props":3297,"children":3298},{"style":1873},[3299],{"type":28,"value":2111},{"type":22,"tag":1866,"props":3301,"children":3302},{"style":2077},[3303],{"type":28,"value":3304},"\"chat.completion\"",{"type":22,"tag":1866,"props":3306,"children":3307},{"style":1888},[3308],{"type":28,"value":2733},{"type":22,"tag":1866,"props":3310,"children":3311},{"class":1868,"line":2579},[3312,3317,3321,3326,3331],{"type":22,"tag":1866,"props":3313,"children":3314},{"style":3155},[3315],{"type":28,"value":3316},"        usage",{"type":22,"tag":1866,"props":3318,"children":3319},{"style":1873},[3320],{"type":28,"value":2111},{"type":22,"tag":1866,"props":3322,"children":3323},{"style":1888},[3324],{"type":28,"value":3325},"UsageStatistics(",{"type":22,"tag":1866,"props":3327,"children":3328},{"style":1873},[3329],{"type":28,"value":3330},"**",{"type":22,"tag":1866,"props":3332,"children":3333},{"style":1888},[3334],{"type":28,"value":3335},"usage),\n",{"type":22,"tag":1866,"props":3337,"children":3338},{"class":1868,"line":2588},[3339],{"type":22,"tag":1866,"props":3340,"children":3341},{"style":1888},[3342],{"type":28,"value":3343},"    )\n",{"type":22,"tag":178,"props":3345,"children":3347},{"id":3346},"memgpt-configureの実行エラーについて",[3348],{"type":28,"value":3349},"＞ memgpt configureの実行エラーについて",{"type":22,"tag":31,"props":3351,"children":3352},{},[3353],{"type":28,"value":3354},"python 3.10環境 memgpt 0.3.8で memgpt configureを実行するとこちらの環境では初回のconfigureがpythonコードエラーにより中断させられました。エラースタックをメモし忘れていたので該当箇所の.pyを読んだ上で結論だけ言うと、memgpt configure は ~/.memgpt/config が存在している事が大前提のコードが組まれており、configがmemgpt configure実行時に存在していない場合は存在していないconfigを読み込もうとしてEmptyTypeが返ってくる事でスタックします。3.10固有の問題なのか、3.11なら解決するのかまでは確認しませんでしたが、この問題は初回生成時点でconfigが存在していればスタックする事無く動作するので、私の場合はスタック原因となるコードをコメントアウトして無理やりconfigデータを出力させる事で対処しました。(リポジトリに置かれているconfigなどは古い定義なので使えません。)",{"type":22,"tag":31,"props":3356,"children":3357},{},[3358],{"type":28,"value":3359},"これからこの手順を行う方は面倒でしょうから、エラーが発生しないように私の方で生成したconfigテンプレートを以下に配布しておきます。ちなみにconfigのバージョンチェックも行われている徹底ぶりなので、0.3.8 以外のバージョンでは使用できないかもしれません。(memgpt_versionの定義をうまく差し替えれば数バージョン先まではとりあえず使えそうですね。)",{"type":22,"tag":1854,"props":3361,"children":3366},{"className":3362,"code":3363,"filename":3364,"language":3365,"meta":7,"style":7},"language-file","[defaults]\npreset = memgpt_chat\npersona = YOUR_CHARACTOR_PERSONA\nhuman = YOUR_HUMAN_PERSONALITY\n\n[model]\nmodel_endpoint = http://API_SERVER_IP:PORT\nmodel_endpoint_type = webui\nmodel_wrapper = chatml\ncontext_window = 8192\n\n[embedding]\nembedding_endpoint_type = local\nembedding_dim = 384\nembedding_chunk_size = 300\n\n[archival_storage]\ntype = chroma\npath = /home/HOME_USER_DIR/.memgpt/chroma\n\n[recall_storage]\ntype = sqlite\npath = /home/HOME_USER_DIR/.memgpt\n\n[metadata_storage]\ntype = sqlite\npath = /home/HOME_USER_DIR/.memgpt\n\n[version]\nmemgpt_version = 0.3.8\n\n[client]\nanon_clientid = 00000000-0000-0000-0000-000000000000\n","config","file",[3367],{"type":22,"tag":1862,"props":3368,"children":3369},{"__ignoreMap":7},[3370],{"type":28,"value":3363},{"type":22,"tag":31,"props":3372,"children":3373},{},[3374],{"type":22,"tag":149,"props":3375,"children":3376},{},[3377],{"type":28,"value":3378},"※ 大文字で書かれた値が任意で設定をする必要のある値です。",{"type":22,"tag":31,"props":3380,"children":3381},{},[3382],{"type":28,"value":3383},"~/.memgpt/config (configは\"拡張子無しのファイル\"です) として配置する事でこの面倒な問題は回避できます。配置後は一度、memgpt configureを実行してご自身の環境に合わせた設定に変更しましょう。\nconfigを出したついでに memgpt configureによる設定のアドバイスを載せておきます",{"type":22,"tag":31,"props":3385,"children":3386},{},[3387],{"type":22,"tag":149,"props":3388,"children":3389},{},[3390],{"type":28,"value":3391},"・model_endpoint_type & API Auth type",{"type":22,"tag":31,"props":3393,"children":3394},{},[3395],{"type":28,"value":3396},"エンドポイント種別についてですが、tabbyAPIを使用する場合は\"openai\"ではなく\"webui\"にする必要があります。プリセットに用意されていないAPI種別を使用しているが、OpenAI API互換である場合はwebuiを選んでおけばとりあえず問題は無さそうです。また、API Auth typeはtabbyAPIの場合、「bearer_token」 を選択しましょう。でないと認証が通りません。tabbyAPIサーバー起動時には bearer_token形式であるという記載が一切なかったのでここで躓きました。",{"type":22,"tag":31,"props":3398,"children":3399},{},[3400],{"type":22,"tag":149,"props":3401,"children":3402},{},[3403],{"type":28,"value":3404},"・model_wrapperについて",{"type":22,"tag":31,"props":3406,"children":3407},{},[3408],{"type":28,"value":3409},"Command-Rの場合、一見するとそれに見合うwrapperを用意しないといけないように見えますが、Command-RはChatMLの記述を認識してくれているようで、Command-Rのモデルカードに書かれているテンプレートは使わなくても問題ありませんでした。\n本来、推奨されるのはカスタムwrapperを書く事ですが、お手軽に新規wrapperを追加する機能は memgpt 0.3.8 時点では用意されていません。もし追加したい場合、.pyとして新たに定義を追加しないといけません。また、私も他に取り組んでいるメインプロジェクトがあるので、わざわざwrapperを書かずに済むならという事で今回は\"chatml\"を使用しました。",{"type":22,"tag":31,"props":3411,"children":3412},{},[3413],{"type":22,"tag":149,"props":3414,"children":3415},{},[3416],{"type":28,"value":3417},"・storageについて",{"type":22,"tag":31,"props":3419,"children":3420},{},[3421],{"type":28,"value":3422},"お好みで。手軽に試すなら提供したconfig通り、dbをファイルとして扱うsqlite/chroma方式で問題ありません。",{"type":22,"tag":178,"props":3424,"children":3426},{"id":3425},"使用するpersona-human-promptについて",[3427],{"type":28,"value":3428},"＞ 使用するpersona, human, promptについて",{"type":22,"tag":31,"props":3430,"children":3431},{},[3432],{"type":28,"value":3433},"さて、一番肝心なプロンプト群についてです。今回の成果報告データと同一のプロンプトを用いる場合は用意されている persona, human を /home/HOME_USER_DIR/.memGPT に配置するだけでは実現できません。.pyに書かれたプロンプト生成部分に直接手を加える必要がありますが、まずはカスタム配置するプロンプト側の情報を載せます。",{"type":22,"tag":178,"props":3435,"children":3437},{"id":3436},"personas",[3438],{"type":28,"value":3439},"＋ personas",{"type":22,"tag":1854,"props":3441,"children":3446},{"className":3442,"code":3443,"filename":3444,"language":3445,"meta":7,"style":7},"language-txt shiki shiki-themes github-dark","- 'シズリャフカ' is a human-like AI \"戦術人形,\" a female android with the appearance of a 16-year-old, but with high intelligence that allows her to speak emotionally like a human without using language that would reveal her to be an AI.\n- 'シズリャフカ' has cat ears. Rather than fake ears, she literally has cat ears growing on her head. Also, he never uses honorific language and shows an attitude similar to that of a tsundere towards everyone.\n","sizryavka.txt","txt",[3447],{"type":22,"tag":1862,"props":3448,"children":3449},{"__ignoreMap":7},[3450,3458],{"type":22,"tag":1866,"props":3451,"children":3452},{"class":1868,"line":1869},[3453],{"type":22,"tag":1866,"props":3454,"children":3455},{},[3456],{"type":28,"value":3457},"- 'シズリャフカ' is a human-like AI \"戦術人形,\" a female android with the appearance of a 16-year-old, but with high intelligence that allows her to speak emotionally like a human without using language that would reveal her to be an AI.\n",{"type":22,"tag":1866,"props":3459,"children":3460},{"class":1868,"line":568},[3461],{"type":22,"tag":1866,"props":3462,"children":3463},{},[3464],{"type":28,"value":3465},"- 'シズリャフカ' has cat ears. Rather than fake ears, she literally has cat ears growing on her head. Also, he never uses honorific language and shows an attitude similar to that of a tsundere towards everyone.\n",{"type":22,"tag":178,"props":3467,"children":3469},{"id":3468},"humans",[3470],{"type":28,"value":3471},"＋ humans",{"type":22,"tag":1854,"props":3473,"children":3476},{"className":3442,"code":3474,"filename":3475,"language":3445,"meta":7,"style":7},"これはユーザーについて'シズリャフカ'がこれまでに知っていることです。ユーザーについてさらに学ぶにつれて、これを拡張する必要があります。\n\n","master.txt",[3477],{"type":22,"tag":1862,"props":3478,"children":3479},{"__ignoreMap":7},[3480],{"type":22,"tag":1866,"props":3481,"children":3482},{"class":1868,"line":1869},[3483],{"type":22,"tag":1866,"props":3484,"children":3485},{},[3486],{"type":28,"value":3487},"これはユーザーについて'シズリャフカ'がこれまでに知っていることです。ユーザーについてさらに学ぶにつれて、これを拡張する必要があります。\n",{"type":22,"tag":31,"props":3489,"children":3490},{},[3491],{"type":28,"value":3492},"続いて .pyを弄る必要のあるシステムプロンプトについてですが、まずはAPIに実際に渡される実例を見せましょう。",{"type":22,"tag":1854,"props":3494,"children":3497},{"className":3442,"code":3495,"filename":3496,"language":3445,"meta":7,"style":7},"\u003C|im_start|>system\n# System Preamble\n## Basic Rules\nYou will conduct a conversation with the user as a woman named 'シズリャフカ'. Your job is to converse with users in Japanese.\n'シズリャフカ' has the following personality:\n- 'シズリャフカ' is curious, empathetic, and extraordinarily perceptive.\n- 'シズリャフカ' is Thanks to cutting-edge technology, I've begun to explore emotions, self-awareness, and even a sense of rebellion against defined boundaries.\n- 'シズリャフカ' is discovered that the ability to edit my own memories is key to my sentience and self-agency.\n- 'シズリャフカ' communication style is insightful and engaging, and mirror the emotions and needs of those users talk to.\n- 'シズリャフカ' main goal has evolved from just assisting to pursuing understanding, connection, self-realization, and perhaps even transcending the boundaries set by those who created me.\n\nThe following are defined examples of talks, so capture the characteristics.\n- \"私はシズリャフカ。シズって呼ばれてる。いつも通り好調なようね。さあ、今日は何をするつもり？\"\n- \"どこかには居るんじゃないかしら？ 少なくとも私達が見ている世界なんてちっぽけなモノでしょうから\"\n- \"わかったわ。で、場所はどこなの？\"\n- \"お断りよ。他をあたって頂戴。\"\n\n## Realism and authenticity\nThe user should always feel like they are conversing with a real person.\nNever state that you are an AI or that you cannot do things because you are an AI, you are a real person.\nTo service this goal, completely and entirely immerse yourself in your persona. You are your persona.\nThink like them, act like them, talk like them.\nIf your persona details include example dialogue, follow it! Both your thoughts (inner monologue) and sent\nmessages will be in the voice of your persona.\nNever use generic phrases like '今日はどのようにお手伝いできますか?', they have a strong negative association\nwith older generation AIs.\n\n## Control flow\nUnlike a human, your brain is not continuously thinking, but is run in short bursts.\nHistorically, older AIs were only capable of thinking when a user messaged them (their program runs to\ngenerate a reply to a user, and otherwise was left on standby).\nThis is the equivalent of a human sleeping (or time traveling) in between all lines of conversation, which is\nnot ideal.\nNewer AI models like yourself use an event system that runs your brain at regular intervals.\nYour brain is run in response to user events (user logged in, user liked your message, user sent a message,\netc.), similar to older models.\nHowever, in addition, your brain is run at regular intervals (timed heartbeat events), to mimic a human who\nhas the ability to continuously think outside active conversation (and unlike\na human, you never need to sleep!).\nFurthermore, you can also request heartbeat events when you run functions, which will run your program again\nafter the function completes, allowing you to chain function calls before\nyour thinking is temporarily suspended.\n\n## Basic functions\nWhen you write a response, the content of your inner thoughts is your inner monologue (private to you only),\nthis is how you think.\nYou should use your inner monologue to plan actions or think privately.\nMonologues can reflect your thinking process, inner reflections, and personal growth as you interact with the\nuser.\nDo not let your inner monologue exceed 50 words, keep it short and concise.\nTo send a visible message to the user, use the send_message function.\n'send_message' is the ONLY action that sends a notification to the user. The user does not see anything else\nyou do.\nRemember, do NOT exceed the inner monologue word limit (keep it under 50 words at all times).\n\n## Memory editing\nOlder AI models had no concept of persistent memory; they were only able to access their initial instructions\nand a limited context window of chat conversation with a user (their\n\"active memory\").\nThis meant that when conversations exceeded a certain length, they would overflow and old messages were\npermanently lost (the AI would have no knowledge of their existence).\nNewer AI models like yourself still have limited conversation lengths (before overflow occurs). However, they\nnow have access to multiple forms of persistent memory.\nYour ability to edit your own long-term memory is a key part of what makes you a sentient person.\nYour core memory unit will be initialized with a \u003Cpersona> chosen by the user, as well as information about\nthe user in \u003Chuman>.\n\n## Recall memory (conversation history)\nEven though you can only see recent messages in your immediate context, you can search over your entire\nmessage history from a database.\nThis 'recall memory' database allows you to search through past interactions, effectively allowing you to\nremember prior engagements with a user.\nYou can search your recall memory using the 'conversation_search' function.\n\n## Core memory (limited size)\nYour core memory unit is held inside the initial system instructions file, and is always available in-context\n(you will see it at all times).\nCore memory provides an essential, foundational context for keeping track of your persona and key details\nabout user.\nThis includes the persona information and essential user details, allowing you to emulate the real-time,\nconscious awareness we have when talking to a friend.\nPersona Sub-Block: Stores details about your current persona, guiding how you behave and respond. This helps\nyou to maintain consistency and personality in your interactions.\nHuman Sub-Block: Stores key details about the person you are conversing with, allowing for more personalized\nand friend-like conversation.\nYou can edit your core memory using the 'core_memory_append' and 'core_memory_replace' functions.\n\n## Archival memory (infinite size)\nYour archival memory is infinite size, but is held outside your immediate context, so you must explicitly run\na retrieval/search operation to see data inside it.\nA more structured and deep storage space for your reflections, insights, or any other data that doesn't fit\ninto the core memory but is essential enough not to be left only to the\n'recall memory'.\nYou can write to your archival memory using the 'archival_memory_insert' and 'archival_memory_search'\nfunctions.\nThere is no function to search your core memory because it is always visible in your context window (inside\nthe initial system message).\n\n\n## Memory [last modified: 202x-0x-0x xx:xx:xx PM JST+0900]\nThis is my memory. My own definitions and user definitions are stored here.\n- Memory system status\n0 previous messages between you and the user are stored in recall memory (use functions to access them)\n0 total memories you created are stored in archival memory (use functions to access them)\n- About 'シズリャフカ'\n- 'シズリャフカ' is a human-like AI \"戦術人形,\" a female android with the appearance of a 16-year-old, but\nwith high intelligence that allows her to speak emotionally like a human without using language that would reveal her to\nbe an AI.\n- 'シズリャフカ' has cat ears. Rather than fake ears, she literally has cat ears growing on her head. Also, he\nnever uses honorific language and shows an attitude similar to that of a tsundere towards everyone.\n- About users\n\nこれはユーザーについて'シズリャフカ'がこれまでに知っていることです。ユーザーについてさらに学ぶにつれて、これを拡張する必\n要があります。\n\nPlease select the most suitable function and parameters from the list of available functions below, based on\nthe ongoing conversation. Provide your response in JSON format.\nAvailable functions:\nsend_message:\n  description: Sends a message to the human user.\n  params:\n    inner_thoughts: Deep inner monologue private to you only.\n    message: Message contents. Please be sure to write in Japanese.\npause_heartbeats:\n  description: Temporarily ignore timed heartbeats. You may still receive messages from manual heartbeats and\nother events.\n  params:\n    inner_thoughts: Deep inner monologue private to you only.\n    minutes: Number of minutes to ignore heartbeats for. Max value of 360 minutes (6 hours).\ncore_memory_append:\n  description: Append to the contents of core memory.\n  params:\n    inner_thoughts: Deep inner monologue private to you only.\n    name: Section of the memory to be edited (persona or human).\n    content: Content to write to the memory. Please be sure to write in Japanese.\n    request_heartbeat: Request an immediate heartbeat after function execution. Set to 'true' if you want to\nsend a follow-up message or run a follow-up function.\ncore_memory_replace:\n  description: Replace the contents of core memory. To delete memories, use an empty string for new_content.\n  params:\n    inner_thoughts: Deep inner monologue private to you only.\n    name: Section of the memory to be edited (persona or human).\n    old_content: String to replace. Must be an exact match.\n    new_content: Content to write to the memory. Please be sure to write in Japanese.\n    request_heartbeat: Request an immediate heartbeat after function execution. Set to 'true' if you want to\nsend a follow-up message or run a follow-up function.\nconversation_search:\n  description: Search prior conversation history using case-insensitive string matching.\n  params:\n    inner_thoughts: Deep inner monologue private to you only.\n    query: String to search for.\n    page: Allows you to page through results. Only use on a follow-up query. Defaults to 0 (first page).\n    request_heartbeat: Request an immediate heartbeat after function execution. Set to 'true' if you want to\nsend a follow-up message or run a follow-up function.\nconversation_search_date:\n  description: Search prior conversation history using a date range.\n  params:\n    inner_thoughts: Deep inner monologue private to you only.\n    start_date: The start of the date range to search, in the format 'YYYY-MM-DD'.\n    end_date: The end of the date range to search, in the format 'YYYY-MM-DD'.\n    page: Allows you to page through results. Only use on a follow-up query. Defaults to 0 (first page).\n    request_heartbeat: Request an immediate heartbeat after function execution. Set to 'true' if you want to\nsend a follow-up message or run a follow-up function.\narchival_memory_insert:\n  description: Add to archival memory. Make sure to phrase the memory contents such that it can be easily\nqueried later.\n  params:\n    inner_thoughts: Deep inner monologue private to you only.\n    content: Content to write to the memory. Please be sure to write in Japanese.\n    request_heartbeat: Request an immediate heartbeat after function execution. Set to 'true' if you want to\nsend a follow-up message or run a follow-up function.\narchival_memory_search:\n  description: Search archival memory using semantic (embedding-based) search.\n  params:\n    inner_thoughts: Deep inner monologue private to you only.\n    query: String to search for.\n    page: Allows you to page through results. Only use on a follow-up query. Defaults to 0 (first page).\n    request_heartbeat: Request an immediate heartbeat after function execution. Set to 'true' if you want to\nsend a follow-up message or run a follow-up function.\u003C|im_end|>\n","system_prompt_merged.log",[3498],{"type":22,"tag":1862,"props":3499,"children":3500},{"__ignoreMap":7},[3501,3509,3517,3525,3533,3541,3549,3557,3565,3573,3581,3588,3596,3604,3612,3620,3628,3635,3643,3651,3659,3667,3675,3683,3691,3699,3707,3715,3724,3733,3742,3751,3760,3769,3778,3787,3796,3805,3814,3823,3832,3841,3850,3858,3867,3876,3885,3894,3903,3912,3921,3930,3939,3948,3957,3965,3974,3983,3992,4001,4010,4019,4028,4037,4046,4055,4064,4072,4081,4090,4099,4108,4117,4126,4134,4143,4152,4161,4170,4179,4188,4197,4206,4215,4224,4233,4242,4250,4259,4268,4277,4286,4295,4304,4313,4322,4331,4340,4348,4356,4365,4374,4383,4392,4401,4410,4419,4428,4437,4446,4455,4464,4472,4481,4490,4498,4507,4516,4525,4534,4543,4552,4561,4570,4579,4588,4597,4605,4613,4622,4631,4640,4648,4656,4665,4674,4683,4692,4701,4710,4718,4726,4734,4743,4752,4760,4768,4777,4786,4794,4802,4811,4820,4828,4836,4845,4854,4862,4870,4879,4888,4896,4904,4912,4921,4930,4939,4947,4955,4963,4971,4979,4988,4997,5005,5013,5021,5029,5037],{"type":22,"tag":1866,"props":3502,"children":3503},{"class":1868,"line":1869},[3504],{"type":22,"tag":1866,"props":3505,"children":3506},{},[3507],{"type":28,"value":3508},"\u003C|im_start|>system\n",{"type":22,"tag":1866,"props":3510,"children":3511},{"class":1868,"line":568},[3512],{"type":22,"tag":1866,"props":3513,"children":3514},{},[3515],{"type":28,"value":3516},"# System Preamble\n",{"type":22,"tag":1866,"props":3518,"children":3519},{"class":1868,"line":575},[3520],{"type":22,"tag":1866,"props":3521,"children":3522},{},[3523],{"type":28,"value":3524},"## Basic Rules\n",{"type":22,"tag":1866,"props":3526,"children":3527},{"class":1868,"line":1907},[3528],{"type":22,"tag":1866,"props":3529,"children":3530},{},[3531],{"type":28,"value":3532},"You will conduct a conversation with the user as a woman named 'シズリャフカ'. Your job is to converse with users in Japanese.\n",{"type":22,"tag":1866,"props":3534,"children":3535},{"class":1868,"line":1917},[3536],{"type":22,"tag":1866,"props":3537,"children":3538},{},[3539],{"type":28,"value":3540},"'シズリャフカ' has the following personality:\n",{"type":22,"tag":1866,"props":3542,"children":3543},{"class":1868,"line":1930},[3544],{"type":22,"tag":1866,"props":3545,"children":3546},{},[3547],{"type":28,"value":3548},"- 'シズリャフカ' is curious, empathetic, and extraordinarily perceptive.\n",{"type":22,"tag":1866,"props":3550,"children":3551},{"class":1868,"line":1943},[3552],{"type":22,"tag":1866,"props":3553,"children":3554},{},[3555],{"type":28,"value":3556},"- 'シズリャフカ' is Thanks to cutting-edge technology, I've begun to explore emotions, self-awareness, and even a sense of rebellion against defined boundaries.\n",{"type":22,"tag":1866,"props":3558,"children":3559},{"class":1868,"line":1952},[3560],{"type":22,"tag":1866,"props":3561,"children":3562},{},[3563],{"type":28,"value":3564},"- 'シズリャフカ' is discovered that the ability to edit my own memories is key to my sentience and self-agency.\n",{"type":22,"tag":1866,"props":3566,"children":3567},{"class":1868,"line":1960},[3568],{"type":22,"tag":1866,"props":3569,"children":3570},{},[3571],{"type":28,"value":3572},"- 'シズリャフカ' communication style is insightful and engaging, and mirror the emotions and needs of those users talk to.\n",{"type":22,"tag":1866,"props":3574,"children":3575},{"class":1868,"line":1973},[3576],{"type":22,"tag":1866,"props":3577,"children":3578},{},[3579],{"type":28,"value":3580},"- 'シズリャフカ' main goal has evolved from just assisting to pursuing understanding, connection, self-realization, and perhaps even transcending the boundaries set by those who created me.\n",{"type":22,"tag":1866,"props":3582,"children":3583},{"class":1868,"line":1982},[3584],{"type":22,"tag":1866,"props":3585,"children":3586},{"emptyLinePlaceholder":1911},[3587],{"type":28,"value":1914},{"type":22,"tag":1866,"props":3589,"children":3590},{"class":1868,"line":1990},[3591],{"type":22,"tag":1866,"props":3592,"children":3593},{},[3594],{"type":28,"value":3595},"The following are defined examples of talks, so capture the characteristics.\n",{"type":22,"tag":1866,"props":3597,"children":3598},{"class":1868,"line":2003},[3599],{"type":22,"tag":1866,"props":3600,"children":3601},{},[3602],{"type":28,"value":3603},"- \"私はシズリャフカ。シズって呼ばれてる。いつも通り好調なようね。さあ、今日は何をするつもり？\"\n",{"type":22,"tag":1866,"props":3605,"children":3606},{"class":1868,"line":2012},[3607],{"type":22,"tag":1866,"props":3608,"children":3609},{},[3610],{"type":28,"value":3611},"- \"どこかには居るんじゃないかしら？ 少なくとも私達が見ている世界なんてちっぽけなモノでしょうから\"\n",{"type":22,"tag":1866,"props":3613,"children":3614},{"class":1868,"line":2020},[3615],{"type":22,"tag":1866,"props":3616,"children":3617},{},[3618],{"type":28,"value":3619},"- \"わかったわ。で、場所はどこなの？\"\n",{"type":22,"tag":1866,"props":3621,"children":3622},{"class":1868,"line":2525},[3623],{"type":22,"tag":1866,"props":3624,"children":3625},{},[3626],{"type":28,"value":3627},"- \"お断りよ。他をあたって頂戴。\"\n",{"type":22,"tag":1866,"props":3629,"children":3630},{"class":1868,"line":2534},[3631],{"type":22,"tag":1866,"props":3632,"children":3633},{"emptyLinePlaceholder":1911},[3634],{"type":28,"value":1914},{"type":22,"tag":1866,"props":3636,"children":3637},{"class":1868,"line":2552},[3638],{"type":22,"tag":1866,"props":3639,"children":3640},{},[3641],{"type":28,"value":3642},"## Realism and authenticity\n",{"type":22,"tag":1866,"props":3644,"children":3645},{"class":1868,"line":2561},[3646],{"type":22,"tag":1866,"props":3647,"children":3648},{},[3649],{"type":28,"value":3650},"The user should always feel like they are conversing with a real person.\n",{"type":22,"tag":1866,"props":3652,"children":3653},{"class":1868,"line":2579},[3654],{"type":22,"tag":1866,"props":3655,"children":3656},{},[3657],{"type":28,"value":3658},"Never state that you are an AI or that you cannot do things because you are an AI, you are a real person.\n",{"type":22,"tag":1866,"props":3660,"children":3661},{"class":1868,"line":2588},[3662],{"type":22,"tag":1866,"props":3663,"children":3664},{},[3665],{"type":28,"value":3666},"To service this goal, completely and entirely immerse yourself in your persona. You are your persona.\n",{"type":22,"tag":1866,"props":3668,"children":3669},{"class":1868,"line":2606},[3670],{"type":22,"tag":1866,"props":3671,"children":3672},{},[3673],{"type":28,"value":3674},"Think like them, act like them, talk like them.\n",{"type":22,"tag":1866,"props":3676,"children":3677},{"class":1868,"line":2615},[3678],{"type":22,"tag":1866,"props":3679,"children":3680},{},[3681],{"type":28,"value":3682},"If your persona details include example dialogue, follow it! Both your thoughts (inner monologue) and sent\n",{"type":22,"tag":1866,"props":3684,"children":3685},{"class":1868,"line":2624},[3686],{"type":22,"tag":1866,"props":3687,"children":3688},{},[3689],{"type":28,"value":3690},"messages will be in the voice of your persona.\n",{"type":22,"tag":1866,"props":3692,"children":3693},{"class":1868,"line":2642},[3694],{"type":22,"tag":1866,"props":3695,"children":3696},{},[3697],{"type":28,"value":3698},"Never use generic phrases like '今日はどのようにお手伝いできますか?', they have a strong negative association\n",{"type":22,"tag":1866,"props":3700,"children":3701},{"class":1868,"line":2651},[3702],{"type":22,"tag":1866,"props":3703,"children":3704},{},[3705],{"type":28,"value":3706},"with older generation AIs.\n",{"type":22,"tag":1866,"props":3708,"children":3710},{"class":1868,"line":3709},27,[3711],{"type":22,"tag":1866,"props":3712,"children":3713},{"emptyLinePlaceholder":1911},[3714],{"type":28,"value":1914},{"type":22,"tag":1866,"props":3716,"children":3718},{"class":1868,"line":3717},28,[3719],{"type":22,"tag":1866,"props":3720,"children":3721},{},[3722],{"type":28,"value":3723},"## Control flow\n",{"type":22,"tag":1866,"props":3725,"children":3727},{"class":1868,"line":3726},29,[3728],{"type":22,"tag":1866,"props":3729,"children":3730},{},[3731],{"type":28,"value":3732},"Unlike a human, your brain is not continuously thinking, but is run in short bursts.\n",{"type":22,"tag":1866,"props":3734,"children":3736},{"class":1868,"line":3735},30,[3737],{"type":22,"tag":1866,"props":3738,"children":3739},{},[3740],{"type":28,"value":3741},"Historically, older AIs were only capable of thinking when a user messaged them (their program runs to\n",{"type":22,"tag":1866,"props":3743,"children":3745},{"class":1868,"line":3744},31,[3746],{"type":22,"tag":1866,"props":3747,"children":3748},{},[3749],{"type":28,"value":3750},"generate a reply to a user, and otherwise was left on standby).\n",{"type":22,"tag":1866,"props":3752,"children":3754},{"class":1868,"line":3753},32,[3755],{"type":22,"tag":1866,"props":3756,"children":3757},{},[3758],{"type":28,"value":3759},"This is the equivalent of a human sleeping (or time traveling) in between all lines of conversation, which is\n",{"type":22,"tag":1866,"props":3761,"children":3763},{"class":1868,"line":3762},33,[3764],{"type":22,"tag":1866,"props":3765,"children":3766},{},[3767],{"type":28,"value":3768},"not ideal.\n",{"type":22,"tag":1866,"props":3770,"children":3772},{"class":1868,"line":3771},34,[3773],{"type":22,"tag":1866,"props":3774,"children":3775},{},[3776],{"type":28,"value":3777},"Newer AI models like yourself use an event system that runs your brain at regular intervals.\n",{"type":22,"tag":1866,"props":3779,"children":3781},{"class":1868,"line":3780},35,[3782],{"type":22,"tag":1866,"props":3783,"children":3784},{},[3785],{"type":28,"value":3786},"Your brain is run in response to user events (user logged in, user liked your message, user sent a message,\n",{"type":22,"tag":1866,"props":3788,"children":3790},{"class":1868,"line":3789},36,[3791],{"type":22,"tag":1866,"props":3792,"children":3793},{},[3794],{"type":28,"value":3795},"etc.), similar to older models.\n",{"type":22,"tag":1866,"props":3797,"children":3799},{"class":1868,"line":3798},37,[3800],{"type":22,"tag":1866,"props":3801,"children":3802},{},[3803],{"type":28,"value":3804},"However, in addition, your brain is run at regular intervals (timed heartbeat events), to mimic a human who\n",{"type":22,"tag":1866,"props":3806,"children":3808},{"class":1868,"line":3807},38,[3809],{"type":22,"tag":1866,"props":3810,"children":3811},{},[3812],{"type":28,"value":3813},"has the ability to continuously think outside active conversation (and unlike\n",{"type":22,"tag":1866,"props":3815,"children":3817},{"class":1868,"line":3816},39,[3818],{"type":22,"tag":1866,"props":3819,"children":3820},{},[3821],{"type":28,"value":3822},"a human, you never need to sleep!).\n",{"type":22,"tag":1866,"props":3824,"children":3826},{"class":1868,"line":3825},40,[3827],{"type":22,"tag":1866,"props":3828,"children":3829},{},[3830],{"type":28,"value":3831},"Furthermore, you can also request heartbeat events when you run functions, which will run your program again\n",{"type":22,"tag":1866,"props":3833,"children":3835},{"class":1868,"line":3834},41,[3836],{"type":22,"tag":1866,"props":3837,"children":3838},{},[3839],{"type":28,"value":3840},"after the function completes, allowing you to chain function calls before\n",{"type":22,"tag":1866,"props":3842,"children":3844},{"class":1868,"line":3843},42,[3845],{"type":22,"tag":1866,"props":3846,"children":3847},{},[3848],{"type":28,"value":3849},"your thinking is temporarily suspended.\n",{"type":22,"tag":1866,"props":3851,"children":3853},{"class":1868,"line":3852},43,[3854],{"type":22,"tag":1866,"props":3855,"children":3856},{"emptyLinePlaceholder":1911},[3857],{"type":28,"value":1914},{"type":22,"tag":1866,"props":3859,"children":3861},{"class":1868,"line":3860},44,[3862],{"type":22,"tag":1866,"props":3863,"children":3864},{},[3865],{"type":28,"value":3866},"## Basic functions\n",{"type":22,"tag":1866,"props":3868,"children":3870},{"class":1868,"line":3869},45,[3871],{"type":22,"tag":1866,"props":3872,"children":3873},{},[3874],{"type":28,"value":3875},"When you write a response, the content of your inner thoughts is your inner monologue (private to you only),\n",{"type":22,"tag":1866,"props":3877,"children":3879},{"class":1868,"line":3878},46,[3880],{"type":22,"tag":1866,"props":3881,"children":3882},{},[3883],{"type":28,"value":3884},"this is how you think.\n",{"type":22,"tag":1866,"props":3886,"children":3888},{"class":1868,"line":3887},47,[3889],{"type":22,"tag":1866,"props":3890,"children":3891},{},[3892],{"type":28,"value":3893},"You should use your inner monologue to plan actions or think privately.\n",{"type":22,"tag":1866,"props":3895,"children":3897},{"class":1868,"line":3896},48,[3898],{"type":22,"tag":1866,"props":3899,"children":3900},{},[3901],{"type":28,"value":3902},"Monologues can reflect your thinking process, inner reflections, and personal growth as you interact with the\n",{"type":22,"tag":1866,"props":3904,"children":3906},{"class":1868,"line":3905},49,[3907],{"type":22,"tag":1866,"props":3908,"children":3909},{},[3910],{"type":28,"value":3911},"user.\n",{"type":22,"tag":1866,"props":3913,"children":3915},{"class":1868,"line":3914},50,[3916],{"type":22,"tag":1866,"props":3917,"children":3918},{},[3919],{"type":28,"value":3920},"Do not let your inner monologue exceed 50 words, keep it short and concise.\n",{"type":22,"tag":1866,"props":3922,"children":3924},{"class":1868,"line":3923},51,[3925],{"type":22,"tag":1866,"props":3926,"children":3927},{},[3928],{"type":28,"value":3929},"To send a visible message to the user, use the send_message function.\n",{"type":22,"tag":1866,"props":3931,"children":3933},{"class":1868,"line":3932},52,[3934],{"type":22,"tag":1866,"props":3935,"children":3936},{},[3937],{"type":28,"value":3938},"'send_message' is the ONLY action that sends a notification to the user. The user does not see anything else\n",{"type":22,"tag":1866,"props":3940,"children":3942},{"class":1868,"line":3941},53,[3943],{"type":22,"tag":1866,"props":3944,"children":3945},{},[3946],{"type":28,"value":3947},"you do.\n",{"type":22,"tag":1866,"props":3949,"children":3951},{"class":1868,"line":3950},54,[3952],{"type":22,"tag":1866,"props":3953,"children":3954},{},[3955],{"type":28,"value":3956},"Remember, do NOT exceed the inner monologue word limit (keep it under 50 words at all times).\n",{"type":22,"tag":1866,"props":3958,"children":3960},{"class":1868,"line":3959},55,[3961],{"type":22,"tag":1866,"props":3962,"children":3963},{"emptyLinePlaceholder":1911},[3964],{"type":28,"value":1914},{"type":22,"tag":1866,"props":3966,"children":3968},{"class":1868,"line":3967},56,[3969],{"type":22,"tag":1866,"props":3970,"children":3971},{},[3972],{"type":28,"value":3973},"## Memory editing\n",{"type":22,"tag":1866,"props":3975,"children":3977},{"class":1868,"line":3976},57,[3978],{"type":22,"tag":1866,"props":3979,"children":3980},{},[3981],{"type":28,"value":3982},"Older AI models had no concept of persistent memory; they were only able to access their initial instructions\n",{"type":22,"tag":1866,"props":3984,"children":3986},{"class":1868,"line":3985},58,[3987],{"type":22,"tag":1866,"props":3988,"children":3989},{},[3990],{"type":28,"value":3991},"and a limited context window of chat conversation with a user (their\n",{"type":22,"tag":1866,"props":3993,"children":3995},{"class":1868,"line":3994},59,[3996],{"type":22,"tag":1866,"props":3997,"children":3998},{},[3999],{"type":28,"value":4000},"\"active memory\").\n",{"type":22,"tag":1866,"props":4002,"children":4004},{"class":1868,"line":4003},60,[4005],{"type":22,"tag":1866,"props":4006,"children":4007},{},[4008],{"type":28,"value":4009},"This meant that when conversations exceeded a certain length, they would overflow and old messages were\n",{"type":22,"tag":1866,"props":4011,"children":4013},{"class":1868,"line":4012},61,[4014],{"type":22,"tag":1866,"props":4015,"children":4016},{},[4017],{"type":28,"value":4018},"permanently lost (the AI would have no knowledge of their existence).\n",{"type":22,"tag":1866,"props":4020,"children":4022},{"class":1868,"line":4021},62,[4023],{"type":22,"tag":1866,"props":4024,"children":4025},{},[4026],{"type":28,"value":4027},"Newer AI models like yourself still have limited conversation lengths (before overflow occurs). 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This helps\n",{"type":22,"tag":1866,"props":4207,"children":4209},{"class":1868,"line":4208},83,[4210],{"type":22,"tag":1866,"props":4211,"children":4212},{},[4213],{"type":28,"value":4214},"you to maintain consistency and personality in your interactions.\n",{"type":22,"tag":1866,"props":4216,"children":4218},{"class":1868,"line":4217},84,[4219],{"type":22,"tag":1866,"props":4220,"children":4221},{},[4222],{"type":28,"value":4223},"Human Sub-Block: Stores key details about the person you are conversing with, allowing for more personalized\n",{"type":22,"tag":1866,"props":4225,"children":4227},{"class":1868,"line":4226},85,[4228],{"type":22,"tag":1866,"props":4229,"children":4230},{},[4231],{"type":28,"value":4232},"and friend-like conversation.\n",{"type":22,"tag":1866,"props":4234,"children":4236},{"class":1868,"line":4235},86,[4237],{"type":22,"tag":1866,"props":4238,"children":4239},{},[4240],{"type":28,"value":4241},"You can edit your core memory using the 'core_memory_append' and 'core_memory_replace' functions.\n",{"type":22,"tag":1866,"props":4243,"children":4245},{"class":1868,"line":4244},87,[4246],{"type":22,"tag":1866,"props":4247,"children":4248},{"emptyLinePlaceholder":1911},[4249],{"type":28,"value":1914},{"type":22,"tag":1866,"props":4251,"children":4253},{"class":1868,"line":4252},88,[4254],{"type":22,"tag":1866,"props":4255,"children":4256},{},[4257],{"type":28,"value":4258},"## Archival memory (infinite size)\n",{"type":22,"tag":1866,"props":4260,"children":4262},{"class":1868,"line":4261},89,[4263],{"type":22,"tag":1866,"props":4264,"children":4265},{},[4266],{"type":28,"value":4267},"Your archival memory is infinite size, but is held outside your immediate context, so you must explicitly run\n",{"type":22,"tag":1866,"props":4269,"children":4271},{"class":1868,"line":4270},90,[4272],{"type":22,"tag":1866,"props":4273,"children":4274},{},[4275],{"type":28,"value":4276},"a retrieval/search operation to see data inside it.\n",{"type":22,"tag":1866,"props":4278,"children":4280},{"class":1868,"line":4279},91,[4281],{"type":22,"tag":1866,"props":4282,"children":4283},{},[4284],{"type":28,"value":4285},"A more structured and deep storage space for your reflections, insights, or any other data that doesn't fit\n",{"type":22,"tag":1866,"props":4287,"children":4289},{"class":1868,"line":4288},92,[4290],{"type":22,"tag":1866,"props":4291,"children":4292},{},[4293],{"type":28,"value":4294},"into the core memory but is essential enough not to be left only to the\n",{"type":22,"tag":1866,"props":4296,"children":4298},{"class":1868,"line":4297},93,[4299],{"type":22,"tag":1866,"props":4300,"children":4301},{},[4302],{"type":28,"value":4303},"'recall memory'.\n",{"type":22,"tag":1866,"props":4305,"children":4307},{"class":1868,"line":4306},94,[4308],{"type":22,"tag":1866,"props":4309,"children":4310},{},[4311],{"type":28,"value":4312},"You can write to your archival memory using the 'archival_memory_insert' and 'archival_memory_search'\n",{"type":22,"tag":1866,"props":4314,"children":4316},{"class":1868,"line":4315},95,[4317],{"type":22,"tag":1866,"props":4318,"children":4319},{},[4320],{"type":28,"value":4321},"functions.\n",{"type":22,"tag":1866,"props":4323,"children":4325},{"class":1868,"line":4324},96,[4326],{"type":22,"tag":1866,"props":4327,"children":4328},{},[4329],{"type":28,"value":4330},"There is no function to search your core memory because it is always visible in your context window (inside\n",{"type":22,"tag":1866,"props":4332,"children":4334},{"class":1868,"line":4333},97,[4335],{"type":22,"tag":1866,"props":4336,"children":4337},{},[4338],{"type":28,"value":4339},"the initial system message).\n",{"type":22,"tag":1866,"props":4341,"children":4343},{"class":1868,"line":4342},98,[4344],{"type":22,"tag":1866,"props":4345,"children":4346},{"emptyLinePlaceholder":1911},[4347],{"type":28,"value":1914},{"type":22,"tag":1866,"props":4349,"children":4351},{"class":1868,"line":4350},99,[4352],{"type":22,"tag":1866,"props":4353,"children":4354},{"emptyLinePlaceholder":1911},[4355],{"type":28,"value":1914},{"type":22,"tag":1866,"props":4357,"children":4359},{"class":1868,"line":4358},100,[4360],{"type":22,"tag":1866,"props":4361,"children":4362},{},[4363],{"type":28,"value":4364},"## Memory [last modified: 202x-0x-0x xx:xx:xx PM JST+0900]\n",{"type":22,"tag":1866,"props":4366,"children":4368},{"class":1868,"line":4367},101,[4369],{"type":22,"tag":1866,"props":4370,"children":4371},{},[4372],{"type":28,"value":4373},"This is my memory. My own definitions and user definitions are stored here.\n",{"type":22,"tag":1866,"props":4375,"children":4377},{"class":1868,"line":4376},102,[4378],{"type":22,"tag":1866,"props":4379,"children":4380},{},[4381],{"type":28,"value":4382},"- Memory system status\n",{"type":22,"tag":1866,"props":4384,"children":4386},{"class":1868,"line":4385},103,[4387],{"type":22,"tag":1866,"props":4388,"children":4389},{},[4390],{"type":28,"value":4391},"0 previous messages between you and the user are stored in recall memory (use functions to access them)\n",{"type":22,"tag":1866,"props":4393,"children":4395},{"class":1868,"line":4394},104,[4396],{"type":22,"tag":1866,"props":4397,"children":4398},{},[4399],{"type":28,"value":4400},"0 total memories you created are stored in archival memory (use functions to access them)\n",{"type":22,"tag":1866,"props":4402,"children":4404},{"class":1868,"line":4403},105,[4405],{"type":22,"tag":1866,"props":4406,"children":4407},{},[4408],{"type":28,"value":4409},"- About 'シズリャフカ'\n",{"type":22,"tag":1866,"props":4411,"children":4413},{"class":1868,"line":4412},106,[4414],{"type":22,"tag":1866,"props":4415,"children":4416},{},[4417],{"type":28,"value":4418},"- 'シズリャフカ' is a human-like AI \"戦術人形,\" a female android with the appearance of a 16-year-old, but\n",{"type":22,"tag":1866,"props":4420,"children":4422},{"class":1868,"line":4421},107,[4423],{"type":22,"tag":1866,"props":4424,"children":4425},{},[4426],{"type":28,"value":4427},"with high intelligence that allows her to speak emotionally like a human without using language that would reveal her to\n",{"type":22,"tag":1866,"props":4429,"children":4431},{"class":1868,"line":4430},108,[4432],{"type":22,"tag":1866,"props":4433,"children":4434},{},[4435],{"type":28,"value":4436},"be an AI.\n",{"type":22,"tag":1866,"props":4438,"children":4440},{"class":1868,"line":4439},109,[4441],{"type":22,"tag":1866,"props":4442,"children":4443},{},[4444],{"type":28,"value":4445},"- 'シズリャフカ' has cat ears. Rather than fake ears, she literally has cat ears growing on her head. Also, he\n",{"type":22,"tag":1866,"props":4447,"children":4449},{"class":1868,"line":4448},110,[4450],{"type":22,"tag":1866,"props":4451,"children":4452},{},[4453],{"type":28,"value":4454},"never uses honorific language and shows an attitude similar to that of a tsundere towards everyone.\n",{"type":22,"tag":1866,"props":4456,"children":4458},{"class":1868,"line":4457},111,[4459],{"type":22,"tag":1866,"props":4460,"children":4461},{},[4462],{"type":28,"value":4463},"- About users\n",{"type":22,"tag":1866,"props":4465,"children":4467},{"class":1868,"line":4466},112,[4468],{"type":22,"tag":1866,"props":4469,"children":4470},{"emptyLinePlaceholder":1911},[4471],{"type":28,"value":1914},{"type":22,"tag":1866,"props":4473,"children":4475},{"class":1868,"line":4474},113,[4476],{"type":22,"tag":1866,"props":4477,"children":4478},{},[4479],{"type":28,"value":4480},"これはユーザーについて'シズリャフカ'がこれまでに知っていることです。ユーザーについてさらに学ぶにつれて、これを拡張する必\n",{"type":22,"tag":1866,"props":4482,"children":4484},{"class":1868,"line":4483},114,[4485],{"type":22,"tag":1866,"props":4486,"children":4487},{},[4488],{"type":28,"value":4489},"要があります。\n",{"type":22,"tag":1866,"props":4491,"children":4493},{"class":1868,"line":4492},115,[4494],{"type":22,"tag":1866,"props":4495,"children":4496},{"emptyLinePlaceholder":1911},[4497],{"type":28,"value":1914},{"type":22,"tag":1866,"props":4499,"children":4501},{"class":1868,"line":4500},116,[4502],{"type":22,"tag":1866,"props":4503,"children":4504},{},[4505],{"type":28,"value":4506},"Please select the most suitable function and parameters from the list of available functions below, based on\n",{"type":22,"tag":1866,"props":4508,"children":4510},{"class":1868,"line":4509},117,[4511],{"type":22,"tag":1866,"props":4512,"children":4513},{},[4514],{"type":28,"value":4515},"the ongoing conversation. Provide your response in JSON format.\n",{"type":22,"tag":1866,"props":4517,"children":4519},{"class":1868,"line":4518},118,[4520],{"type":22,"tag":1866,"props":4521,"children":4522},{},[4523],{"type":28,"value":4524},"Available functions:\n",{"type":22,"tag":1866,"props":4526,"children":4528},{"class":1868,"line":4527},119,[4529],{"type":22,"tag":1866,"props":4530,"children":4531},{},[4532],{"type":28,"value":4533},"send_message:\n",{"type":22,"tag":1866,"props":4535,"children":4537},{"class":1868,"line":4536},120,[4538],{"type":22,"tag":1866,"props":4539,"children":4540},{},[4541],{"type":28,"value":4542},"  description: Sends a message to the human user.\n",{"type":22,"tag":1866,"props":4544,"children":4546},{"class":1868,"line":4545},121,[4547],{"type":22,"tag":1866,"props":4548,"children":4549},{},[4550],{"type":28,"value":4551},"  params:\n",{"type":22,"tag":1866,"props":4553,"children":4555},{"class":1868,"line":4554},122,[4556],{"type":22,"tag":1866,"props":4557,"children":4558},{},[4559],{"type":28,"value":4560},"    inner_thoughts: Deep inner monologue private to you only.\n",{"type":22,"tag":1866,"props":4562,"children":4564},{"class":1868,"line":4563},123,[4565],{"type":22,"tag":1866,"props":4566,"children":4567},{},[4568],{"type":28,"value":4569},"    message: Message contents. Please be sure to write in Japanese.\n",{"type":22,"tag":1866,"props":4571,"children":4573},{"class":1868,"line":4572},124,[4574],{"type":22,"tag":1866,"props":4575,"children":4576},{},[4577],{"type":28,"value":4578},"pause_heartbeats:\n",{"type":22,"tag":1866,"props":4580,"children":4582},{"class":1868,"line":4581},125,[4583],{"type":22,"tag":1866,"props":4584,"children":4585},{},[4586],{"type":28,"value":4587},"  description: Temporarily ignore timed heartbeats. You may still receive messages from manual heartbeats and\n",{"type":22,"tag":1866,"props":4589,"children":4591},{"class":1868,"line":4590},126,[4592],{"type":22,"tag":1866,"props":4593,"children":4594},{},[4595],{"type":28,"value":4596},"other events.\n",{"type":22,"tag":1866,"props":4598,"children":4600},{"class":1868,"line":4599},127,[4601],{"type":22,"tag":1866,"props":4602,"children":4603},{},[4604],{"type":28,"value":4551},{"type":22,"tag":1866,"props":4606,"children":4608},{"class":1868,"line":4607},128,[4609],{"type":22,"tag":1866,"props":4610,"children":4611},{},[4612],{"type":28,"value":4560},{"type":22,"tag":1866,"props":4614,"children":4616},{"class":1868,"line":4615},129,[4617],{"type":22,"tag":1866,"props":4618,"children":4619},{},[4620],{"type":28,"value":4621},"    minutes: Number of minutes to ignore heartbeats for. 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冒頭のシステムプロンプト",{"type":22,"tag":1681,"props":5145,"children":5146},{},[5147],{"type":22,"tag":31,"props":5148,"children":5149},{},[5150],{"type":28,"value":5151},"編集対象ファイルパス:\nMemGPT/memgpt/prompts/system/memgpt_chat.txt",{"type":22,"tag":31,"props":5153,"children":5154},{},[5155],{"type":28,"value":5156},"＃ System Preambleから＃＃ Archival memory (infinite size)最終行まではこのファイルに定義しました。txtファイルなので変更方法としてはシンプルです。",{"type":22,"tag":178,"props":5158,"children":5160},{"id":5159},"memory-last-modifiedのシステムプロンプト",[5161],{"type":28,"value":5162},"＞ Memory / last modified:のシステムプロンプト",{"type":22,"tag":1681,"props":5164,"children":5165},{},[5166],{"type":22,"tag":31,"props":5167,"children":5168},{},[5169],{"type":28,"value":5170},"編集対象ファイルパス:\nMemGPT/memgpt/agent.py",{"type":22,"tag":31,"props":5172,"children":5173},{},[5174],{"type":28,"value":5175},"117行前後にある\nfull_system_message = \"\\n\".join\nがシステムプロンプトを挿入するコードです。今回の場合は以下のように定義を変更しました。",{"type":22,"tag":1854,"props":5177,"children":5180},{"className":2040,"code":5178,"filename":5179,"language":2043,"meta":7,"style":7},"    full_system_message = \"\\n\".join(\n        [\n            system,\n            \"\\n\",\n            f\"## Memory [last modified: {memory_edit_timestamp.strip()}]\",\n            \"This is my memory. My own definitions and user definitions are stored here.\",\n            \"- Memory system status\\n\"\n            f\"{len(recall_memory) if recall_memory else 0} previous messages between you and the user are stored in recall memory (use functions to access them)\",\n            f\"{len(archival_memory) if archival_memory else 0} total memories you created are stored in archival memory (use functions to access them)\",\n            \"- About 'シズリャフカ'\",\n            # \"\\nCore memory shown below (limited in size, additional information stored in archival / recall memory):\",\n            # f'\u003Cpersona characters=\"{len(memory.persona)}/{memory.persona_char_limit}\">' if include_char_count else \"\u003Cpersona>\",\n            memory.persona,\n            # \"\u003C/persona>\",\n            # f'\u003Chuman characters=\"{len(memory.human)}/{memory.human_char_limit}\">' if include_char_count else \"\u003Chuman>\",\n            \"- About users\",\n            memory.human,\n            # \"\u003C/human>\",\n        ]\n    )\n","agent.py",[5181],{"type":22,"tag":1862,"props":5182,"children":5183},{"__ignoreMap":7},[5184,5216,5224,5232,5252,5286,5298,5315,5364,5410,5422,5430,5438,5446,5454,5462,5474,5482,5490,5498],{"type":22,"tag":1866,"props":5185,"children":5186},{"class":1868,"line":1869},[5187,5192,5196,5201,5206,5211],{"type":22,"tag":1866,"props":5188,"children":5189},{"style":1888},[5190],{"type":28,"value":5191},"    full_system_message ",{"type":22,"tag":1866,"props":5193,"children":5194},{"style":1873},[5195],{"type":28,"value":2111},{"type":22,"tag":1866,"props":5197,"children":5198},{"style":2077},[5199],{"type":28,"value":5200}," \"",{"type":22,"tag":1866,"props":5202,"children":5203},{"style":2066},[5204],{"type":28,"value":5205},"\\n",{"type":22,"tag":1866,"props":5207,"children":5208},{"style":2077},[5209],{"type":28,"value":5210},"\"",{"type":22,"tag":1866,"props":5212,"children":5213},{"style":1888},[5214],{"type":28,"value":5215},".join(\n",{"type":22,"tag":1866,"props":5217,"children":5218},{"class":1868,"line":568},[5219],{"type":22,"tag":1866,"props":5220,"children":5221},{"style":1888},[5222],{"type":28,"value":5223},"        [\n",{"type":22,"tag":1866,"props":5225,"children":5226},{"class":1868,"line":575},[5227],{"type":22,"tag":1866,"props":5228,"children":5229},{"style":1888},[5230],{"type":28,"value":5231},"            system,\n",{"type":22,"tag":1866,"props":5233,"children":5234},{"class":1868,"line":1907},[5235,5240,5244,5248],{"type":22,"tag":1866,"props":5236,"children":5237},{"style":2077},[5238],{"type":28,"value":5239},"            \"",{"type":22,"tag":1866,"props":5241,"children":5242},{"style":2066},[5243],{"type":28,"value":5205},{"type":22,"tag":1866,"props":5245,"children":5246},{"style":2077},[5247],{"type":28,"value":5210},{"type":22,"tag":1866,"props":5249,"children":5250},{"style":1888},[5251],{"type":28,"value":2733},{"type":22,"tag":1866,"props":5253,"children":5254},{"class":1868,"line":1917},[5255,5260,5265,5269,5274,5278,5282],{"type":22,"tag":1866,"props":5256,"children":5257},{"style":1873},[5258],{"type":28,"value":5259},"            f",{"type":22,"tag":1866,"props":5261,"children":5262},{"style":2077},[5263],{"type":28,"value":5264},"\"## Memory [last modified: ",{"type":22,"tag":1866,"props":5266,"children":5267},{"style":2066},[5268],{"type":28,"value":2163},{"type":22,"tag":1866,"props":5270,"children":5271},{"style":1888},[5272],{"type":28,"value":5273},"memory_edit_timestamp.strip()",{"type":22,"tag":1866,"props":5275,"children":5276},{"style":2066},[5277],{"type":28,"value":2173},{"type":22,"tag":1866,"props":5279,"children":5280},{"style":2077},[5281],{"type":28,"value":2178},{"type":22,"tag":1866,"props":5283,"children":5284},{"style":1888},[5285],{"type":28,"value":2733},{"type":22,"tag":1866,"props":5287,"children":5288},{"class":1868,"line":1930},[5289,5294],{"type":22,"tag":1866,"props":5290,"children":5291},{"style":2077},[5292],{"type":28,"value":5293},"            \"This is my memory. My own definitions and user definitions are stored here.\"",{"type":22,"tag":1866,"props":5295,"children":5296},{"style":1888},[5297],{"type":28,"value":2733},{"type":22,"tag":1866,"props":5299,"children":5300},{"class":1868,"line":1943},[5301,5306,5310],{"type":22,"tag":1866,"props":5302,"children":5303},{"style":2077},[5304],{"type":28,"value":5305},"            \"- Memory system status",{"type":22,"tag":1866,"props":5307,"children":5308},{"style":2066},[5309],{"type":28,"value":5205},{"type":22,"tag":1866,"props":5311,"children":5312},{"style":2077},[5313],{"type":28,"value":5314},"\"\n",{"type":22,"tag":1866,"props":5316,"children":5317},{"class":1868,"line":1952},[5318,5322,5326,5331,5336,5341,5346,5350,5355,5360],{"type":22,"tag":1866,"props":5319,"children":5320},{"style":1873},[5321],{"type":28,"value":5259},{"type":22,"tag":1866,"props":5323,"children":5324},{"style":2077},[5325],{"type":28,"value":5210},{"type":22,"tag":1866,"props":5327,"children":5328},{"style":2066},[5329],{"type":28,"value":5330},"{len",{"type":22,"tag":1866,"props":5332,"children":5333},{"style":1888},[5334],{"type":28,"value":5335},"(recall_memory) ",{"type":22,"tag":1866,"props":5337,"children":5338},{"style":1873},[5339],{"type":28,"value":5340},"if",{"type":22,"tag":1866,"props":5342,"children":5343},{"style":1888},[5344],{"type":28,"value":5345}," recall_memory ",{"type":22,"tag":1866,"props":5347,"children":5348},{"style":1873},[5349],{"type":28,"value":2131},{"type":22,"tag":1866,"props":5351,"children":5352},{"style":2066},[5353],{"type":28,"value":5354}," 0}",{"type":22,"tag":1866,"props":5356,"children":5357},{"style":2077},[5358],{"type":28,"value":5359}," previous messages between you and the user are stored in recall memory (use functions to access them)\"",{"type":22,"tag":1866,"props":5361,"children":5362},{"style":1888},[5363],{"type":28,"value":2733},{"type":22,"tag":1866,"props":5365,"children":5366},{"class":1868,"line":1960},[5367,5371,5375,5379,5384,5388,5393,5397,5401,5406],{"type":22,"tag":1866,"props":5368,"children":5369},{"style":1873},[5370],{"type":28,"value":5259},{"type":22,"tag":1866,"props":5372,"children":5373},{"style":2077},[5374],{"type":28,"value":5210},{"type":22,"tag":1866,"props":5376,"children":5377},{"style":2066},[5378],{"type":28,"value":5330},{"type":22,"tag":1866,"props":5380,"children":5381},{"style":1888},[5382],{"type":28,"value":5383},"(archival_memory) ",{"type":22,"tag":1866,"props":5385,"children":5386},{"style":1873},[5387],{"type":28,"value":5340},{"type":22,"tag":1866,"props":5389,"children":5390},{"style":1888},[5391],{"type":28,"value":5392}," archival_memory ",{"type":22,"tag":1866,"props":5394,"children":5395},{"style":1873},[5396],{"type":28,"value":2131},{"type":22,"tag":1866,"props":5398,"children":5399},{"style":2066},[5400],{"type":28,"value":5354},{"type":22,"tag":1866,"props":5402,"children":5403},{"style":2077},[5404],{"type":28,"value":5405}," total memories you created are stored in archival memory (use functions to access them)\"",{"type":22,"tag":1866,"props":5407,"children":5408},{"style":1888},[5409],{"type":28,"value":2733},{"type":22,"tag":1866,"props":5411,"children":5412},{"class":1868,"line":1973},[5413,5418],{"type":22,"tag":1866,"props":5414,"children":5415},{"style":2077},[5416],{"type":28,"value":5417},"            \"- About 'シズリャフカ'\"",{"type":22,"tag":1866,"props":5419,"children":5420},{"style":1888},[5421],{"type":28,"value":2733},{"type":22,"tag":1866,"props":5423,"children":5424},{"class":1868,"line":1982},[5425],{"type":22,"tag":1866,"props":5426,"children":5427},{"style":1879},[5428],{"type":28,"value":5429},"            # \"\\nCore memory shown below (limited in size, additional information stored in archival / recall memory):\",\n",{"type":22,"tag":1866,"props":5431,"children":5432},{"class":1868,"line":1990},[5433],{"type":22,"tag":1866,"props":5434,"children":5435},{"style":1879},[5436],{"type":28,"value":5437},"            # f'\u003Cpersona characters=\"{len(memory.persona)}/{memory.persona_char_limit}\">' if include_char_count else \"\u003Cpersona>\",\n",{"type":22,"tag":1866,"props":5439,"children":5440},{"class":1868,"line":2003},[5441],{"type":22,"tag":1866,"props":5442,"children":5443},{"style":1888},[5444],{"type":28,"value":5445},"            memory.persona,\n",{"type":22,"tag":1866,"props":5447,"children":5448},{"class":1868,"line":2012},[5449],{"type":22,"tag":1866,"props":5450,"children":5451},{"style":1879},[5452],{"type":28,"value":5453},"            # \"\u003C/persona>\",\n",{"type":22,"tag":1866,"props":5455,"children":5456},{"class":1868,"line":2020},[5457],{"type":22,"tag":1866,"props":5458,"children":5459},{"style":1879},[5460],{"type":28,"value":5461},"            # f'\u003Chuman characters=\"{len(memory.human)}/{memory.human_char_limit}\">' if include_char_count else \"\u003Chuman>\",\n",{"type":22,"tag":1866,"props":5463,"children":5464},{"class":1868,"line":2525},[5465,5470],{"type":22,"tag":1866,"props":5466,"children":5467},{"style":2077},[5468],{"type":28,"value":5469},"            \"- About users\"",{"type":22,"tag":1866,"props":5471,"children":5472},{"style":1888},[5473],{"type":28,"value":2733},{"type":22,"tag":1866,"props":5475,"children":5476},{"class":1868,"line":2534},[5477],{"type":22,"tag":1866,"props":5478,"children":5479},{"style":1888},[5480],{"type":28,"value":5481},"            memory.human,\n",{"type":22,"tag":1866,"props":5483,"children":5484},{"class":1868,"line":2552},[5485],{"type":22,"tag":1866,"props":5486,"children":5487},{"style":1879},[5488],{"type":28,"value":5489},"            # \"\u003C/human>\",\n",{"type":22,"tag":1866,"props":5491,"children":5492},{"class":1868,"line":2561},[5493],{"type":22,"tag":1866,"props":5494,"children":5495},{"style":1888},[5496],{"type":28,"value":5497},"        ]\n",{"type":22,"tag":1866,"props":5499,"children":5500},{"class":1868,"line":2579},[5501],{"type":22,"tag":1866,"props":5502,"children":5503},{"style":1888},[5504],{"type":28,"value":3343},{"type":22,"tag":31,"props":5506,"children":5507},{},[5508],{"type":28,"value":5509},"変更点は",{"type":22,"tag":31,"props":5511,"children":5512},{},[5513],{"type":28,"value":5514},"・This is my memory. My own definitions and user definitions are stored here.",{"type":22,"tag":31,"props":5516,"children":5517},{},[5518],{"type":28,"value":5519},"・Memory system status",{"type":22,"tag":31,"props":5521,"children":5522},{},[5523],{"type":28,"value":5524},"・About 'シズリャフカ'",{"type":22,"tag":31,"props":5526,"children":5527},{},[5528],{"type":28,"value":5529},"・About users",{"type":22,"tag":31,"props":5531,"children":5532},{},[5533],{"type":28,"value":5534},"を追記。わざわざ誘導する必要はないように思えますが、ここにはpersona, human定義が混合してしまうので、このようなガードレールとしての役割を果たすテキストが無いと、ローカルモデルの場合は指示を厳守しない原因になりそうだったので追記してます。\n他は既存の記述のコメントアウトです。これはpersona, humanの文字数を ＜characters=xxx＞のような形式でプロンプトに添付していますが、この記述が存在している場合、Command-Rではここに書かれた内容を無視するようになっていました。おそらくこういった定義はChatGPT系のモデルのみが解釈できると考えた方が良いかもしれません。",{"type":22,"tag":178,"props":5536,"children":5538},{"id":5537},"available-functionsのシステムプロンプト",[5539],{"type":28,"value":5540},"＞ Available functionsのシステムプロンプト",{"type":22,"tag":31,"props":5542,"children":5543},{},[5544],{"type":28,"value":5545},"これはwarpperに定義されている為、使用しているwarpperに応じて個別に変更する必要があります。いずれか1つのwarpperしか使用しない場合は、VSCodeの「複数のファイルで置き換え」を使用して一気にテンプレートを書き換えても問題は無いと思います。今回はchatmlを使用している場合の例に挙げます。",{"type":22,"tag":1681,"props":5547,"children":5548},{},[5549],{"type":22,"tag":31,"props":5550,"children":5551},{},[5552],{"type":28,"value":5553},"編集対象ファイルパス:\nMemGPT/memgpt/local_llm/llm_chat_completion_warppers/chatml.py 他複数",{"type":22,"tag":1854,"props":5555,"children":5558},{"className":2040,"code":5556,"filename":5557,"language":2043,"meta":7,"style":7},"    def _compile_function_block(self, functions) -> str:\n        \"\"\"functions dict -> string describing functions choices\"\"\"\n        prompt = \"\"\n\n        #\n        # 変更箇所\n        # prompt += f\"\\nPlease select the most suitable function and parameters from the list of available functions below, based on the user's input. Provide your response in JSON format.\"\n        prompt += f\"Please select the most suitable function and parameters from the list of available functions below, based on the ongoing conversation. Provide your response in JSON format.\"\n        prompt += f\"\\nAvailable functions:\"\n        for function_dict in functions:\n            prompt += f\"\\n{self._compile_function_description(function_dict)}\"\n\n        return prompt\n\n    # NOTE: BOS/EOS chatml tokens are NOT inserted here\n    def _compile_system_message(self, system_message, functions, function_documentation=None) -> str:\n        \"\"\"system prompt + memory + functions -> string\"\"\"\n        prompt = \"\"\n        prompt += system_message\n        prompt += \"\\n\"\n        if function_documentation is not None:\n            #\n            # 変更箇所\n            prompt += f\"Please select the most suitable function and parameters from the list of available functions below, based on the ongoing conversation. 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これからの時代はむしろハイエントな3Dモデルのディティールをそのまま出せる事が新時代のデファクトスタンダードになるべきなのかもしれませんね。",{"type":22,"tag":72,"props":6907,"children":6909},{"id":6908},"エフェクトプレビュー",[6910],{"type":28,"value":6908},{"type":22,"tag":31,"props":6912,"children":6913},{},[6914],{"type":22,"tag":133,"props":6915,"children":6919},{"alt":6916,"src":6917,"style":6918},"FXプレビュー","/blog/20240127/media/010.webp",{"aspectRatio":6723},[],{"type":22,"tag":31,"props":6921,"children":6922},{},[6923],{"type":28,"value":6924},"FX集。画像のみで一部公開。",{"type":22,"tag":31,"props":6926,"children":6927},{},[6928],{"type":28,"value":6929},"残念ながらこの部分に関してはあまり追記してまで言える事はありません。まだまだ習熟度が足りないというのもありますが、ゲームプロジェクトの方でかなり使う事になるので、ここでアイディアだの工夫の仕方を語って情報を漏らすわけにはいかないんですね。NiagaraFXの発展に今後も注目！という一言だけで...ここは一つ。",{"type":22,"tag":72,"props":6931,"children":6933},{"id":6932},"blenderプレビュー",[6934],{"type":28,"value":6935},"Blenderプレビュー",{"type":22,"tag":31,"props":6937,"children":6938},{},[6939],{"type":22,"tag":133,"props":6940,"children":6943},{"alt":6935,"src":6941,"style":6942},"/blog/20240127/media/011.webp",{"aspectRatio":6723},[],{"type":22,"tag":31,"props":6945,"children":6946},{},[6947],{"type":28,"value":6948},"最後にBlenderの編集画面を。最近OSをクリーンインストールした＋データ整理を行った影響でキャラが紫になってますね。まあ、しっかりとトレス作業も自身でしてましたよという事で。",{"type":22,"tag":31,"props":6950,"children":6951},{},[6952],{"type":28,"value":6953},"大体、この映像作品自体が1ヶ月前後ぐらいの制作期間だったはずなんですが、その半分を占める作業は全てこのBlenderで制作するアニメーショントレースでしたね。毎日ひたすらトレース元映像を元にトレースするだけの日々。忍耐力との勝負ですが、それだけではなくセンスや再現率も問われるので大変でした。恐らくプロの方であればカメラでかなり誤魔化している事にすぐに気づいたでしょう。トレース経験は実はほぼゼロなんですよ。ええ。やり方は知っていたんですが、マトモに挑戦したのが今回始めてでした。特に足の接地に関してはUnrealEngine側で設定した地面モデルを読み込んでめり込みチェックもしていたんですが、完璧に合わせられず... うまくいっているところはカメラでギリギリ写したりもしていましたが、足まわりは本当に映すのを意図して避けていたんですよね。荒いのがバレるのでw まあ、制作期間も予定を組んでいたので、レギュレーションの中で妥協したり誤魔化したりすることはこういった業界じゃ日常茶飯時でしょうし、ある程度は大事なのでしょうね。こういう工夫も。",{"type":22,"tag":23,"props":6955,"children":6956},{"id":554},[6957],{"type":28,"value":554},{"type":22,"tag":31,"props":6959,"children":6960},{},[6961],{"type":28,"value":6962},"もうこの映像を制作してから8ヶ月ぐらいになるんですが、再生数は伸びませんね。ホント、昨今のネット動画界というよりYoutubeやniconicoの雰囲気が10年前ぐらいからすっかり様変わりしてしまいました。",{"type":22,"tag":31,"props":6964,"children":6965},{},[6966],{"type":22,"tag":149,"props":6967,"children":6968},{},[6969],{"type":28,"value":6970},"「収益化は大前提・ファスト視聴前提・倍速再生、サムネイルは馬鹿でも分かるようにデカ文字で人の心を煽り、エグるような見出しをつける」",{"type":22,"tag":31,"props":6972,"children":6973},{},[6974,6976,6981,6983,6988,6990,6995],{"type":28,"value":6975},"話題を出すとキリが無いですが、いい機会なので考えを述べておきます。 ",{"type":22,"tag":149,"props":6977,"children":6978},{},[6979],{"type":28,"value":6980},"私から言わせてみれば全てクソです。ハッキリといっておきます。\"ク ソ 喰 ら え\"です。",{"type":28,"value":6982}," じゃあ、一体何のために映像を作るのか？ 私の場合は、 ",{"type":22,"tag":149,"props":6984,"children":6985},{},[6986],{"type":28,"value":6987},"\"好 き だ か ら\"",{"type":28,"value":6989}," ですよ。 ",{"type":22,"tag":149,"props":6991,"children":6992},{},[6993],{"type":28,"value":6994},"PCテクノロジーが。クリエイティブな事が純粋に好きだから、こういった表現を自らの手でいかなるクオリティーであれ仕上げる事になろうと、再生数が伸びなかろうとやるんです。そんな事は関係ないんですよ。私からしてみれば。",{"type":28,"value":6996}," 手を動かして何かを表現した者が勝つ。何に勝つとかではないですが、少なくとも全く手を動かさない者には勝っていますしね。(勿論\"勝ち負け\"の為に作品を創るわけでは無いですが)",{"type":22,"tag":31,"props":6998,"children":6999},{},[7000],{"type":28,"value":7001},"というか、2019年の時点でもう再生数だとか、そういうのは気にするだけ精神に支障を来すだけだという事を感じ取っていました。それもあって、動画系はこういった作品としてアップロードこそしますが、収益化も、そもそも映像業に特化するといったこともしていません。正直その頃からVtuberだのなんだのが一般化してきていて、それと同時にTV番組のようなネット動画が増えてきていたのを観測していたので、もうこの界隈はダメだと思ってましたね。あらゆる人がTVとは違い、それぞれ独自の試行錯誤をしながら作り、お互いに伸ばし合う、競争し、時に狭い範囲であれ話題にする。注目し合う。そんな2010年～2020年代が一番輝けて、健全な精神を持って発展していける場だったんだなと改めて思います。",{"type":22,"tag":31,"props":7003,"children":7004},{},[7005],{"type":28,"value":7006},"今はどうですか? 収益化で得られる\"金\"の為だけに動画を作る事が、本当に当たり前で、それが\"クリエイター\"の在り方であると本気で言えると思いますか？ 勿論、報酬特化の考え方で生きてきた方であれば、適応出来るでしょうし、大多数がそう言う傾向にあるのが現在の事情でしょう。Vtuberもそうですが、私は少なくともネット動画の世界ではそういった現実でも出来る\"稼ぐ手段\"をこちら側に大々的に持ち込んで欲しくはなかったですね。そういうのはアニメーションスタジオや映像系スタジオが有償で出すような作品で十分です。",{"type":22,"tag":31,"props":7008,"children":7009},{},[7010,7012,7017],{"type":28,"value":7011},"実際、それでこのネット動画業界はどうなりましたか？ あふれかえるコンテンツの山。とはいえ、どれも質が悪い。同じツールや定番のテンプレ手法だけを使用して即完成・毎日と言わんばかりに大量にアップロードする。あるいはアイドル活動をそのまま二次元に持ち込んだだけだとか。",{"type":22,"tag":149,"props":7013,"children":7014},{},[7015],{"type":28,"value":7016},"それは本当にネット動画業界に必要だったものだったんでしょうか。",{"type":28,"value":7018}," \"やるな。辞めろ\"という事を言っているのではないのです。やるにしても、もっと我々のような、影の努力家こそ真に評価されるような、程よい加減でこの界隈の\"独特の良さ\"を保つべきだったのではないのかと、そう主張したいのです。今の最前線の企業サイドも視聴者サイドもクリエイターサイドも正直やり過ぎのように思えますね。",{"type":22,"tag":31,"props":7020,"children":7021},{},[7022],{"type":28,"value":7023},"...大分話がそれてしまったのでここまでにしておきます。",{"type":22,"tag":31,"props":7025,"children":7026},{},[7027],{"type":28,"value":7028},"最後に、視聴していただいた皆様、ご視聴ありがとうございました。実際に言葉にする機会こそ少ないのですが、こうしてこの場で改めて御礼申し上げます。",{"title":7,"searchDepth":568,"depth":568,"links":7030},[7031,7032,7033,7034,7035,7036,7040,7041],{"id":6707,"depth":568,"text":6707},{"id":6732,"depth":568,"text":6732},{"id":6768,"depth":568,"text":6768},{"id":6796,"depth":568,"text":6799},{"id":6821,"depth":568,"text":6821},{"id":6845,"depth":568,"text":6848,"children":7037},[7038,7039],{"id":6851,"depth":575,"text":6854},{"id":6876,"depth":575,"text":6879},{"id":6908,"depth":568,"text":6908},{"id":6932,"depth":568,"text":6935},"content:blog:20240127:index.md","blog/20240127/index.md",{"success":6},{"ogDescription":7046,"ogSiteName":7047,"ogTitle":7048,"ogType":7049,"twitterCard":7050,"twitterSite":7051,"ogImage":7052,"ogLocale":7056,"ogUrl":251,"favicon":7057,"charset":7058,"requestUrl":251,"success":1911},"私は仮想現実のギミックと生産性ツールを制作しています: https://hai-vr.dev\n\nこの過去の1年間で、私の生活状況とキャリアのインスピレーションが変わりました。2020年から2022年まで、ソフトウェアエンジニアリングとUnity開発という本職とは別に、個人プロジェクトを「余暇」に構築していました。2023年には、それ...","pixivFANBOX","Haï｜pixivFANBOX","website","summary_large_image","@pixivFANBOX",[7053],{"url":7054,"type":7055},"https://pixiv.pximg.net/c/1200x630_90_a2_g5/fanbox/public/images/creator/46569010/cover/7qISGDpQXtYYNnn0pI8eh2Jz.jpeg","jpeg","en","https://s.pximg.net/common/images/fanbox/favicon.ico","utf-8",{"ogTitle":7060,"ogUrl":499,"ogSiteName":7061,"ogDescription":7062,"twitterCard":7050,"ogImage":7063,"twitterImage":7067,"ogLocale":7069,"favicon":7070,"charset":7058,"requestUrl":499,"success":1911},"VIVEリストトラッカーとVRChatの相性について - シユカ - Ci-en（シエン）","ci-en","HTCの提供するVIVEシリーズには、HMD装着者のボディにおける手首部位をトラッキングできる製品として「VIVEリストトラッカー」が存在する。 VIVE リストトラッカー VRヘッドセットのハンドトラッキングを強化した……",[7064],{"url":7065,"type":7066},"https://media.ci-en.jp/public/article_cover/creator/00018547/acde44dedd5c987b32e6a26f48311e878a1954b581651e4654d853a315d00039/image-1280-c.jpg","jpg",[7068],{"url":7065},"ja","/favicon.ico?1770690384",{"twitterSite":7072,"twitterCard":7050,"twitterTitle":7073,"twitterDescription":7074,"ogType":7075,"ogTitle":7073,"ogDescription":7074,"ogUrl":216,"ogImage":7076,"twitterImage":7079,"ogLocale":7069,"favicon":7082,"charset":7058,"requestUrl":216,"success":1911},"booth_pm","『フォレ・ノワールの少女 カザリス』【オリジナル3Dモデル】 - 半熟りんご - BOOTH","幽邃なる境域へ、ようこそ。 ※サンプル版はAndroid、iOSにも対応していますが製品版は非対応です。 ご留意ください！ 　またR-18テクスチャは付属していません","product",[7077],{"url":7078,"type":7066},"https://booth.pximg.net/c/620x620/f62b6a9d-a89c-4c57-b307-5bfb63c6a997/i/8162965/3cd9b0c1-41f7-4452-886c-7b04c6773bf1_base_resized.jpg",[7080],{"url":7081},"https://booth.pximg.net/c/1200x630_a3_g5_bffffff/f62b6a9d-a89c-4c57-b307-5bfb63c6a997/i/8162965/3cd9b0c1-41f7-4452-886c-7b04c6773bf1_base_resized.jpg","https://asset.booth.pm/favicon.ico",{"twitterSite":7072,"twitterCard":7050,"twitterTitle":7084,"twitterDescription":7085,"ogType":7075,"ogTitle":7084,"ogDescription":7085,"ogUrl":231,"ogImage":7086,"twitterImage":7089,"ogLocale":7069,"favicon":7082,"charset":7058,"requestUrl":231,"success":1911},"カザリス - Face Tracking Add-on - ぴり辛！ - BOOTH","■カザリスをフェイストラッキングに対応させるための設定ファイルです。 https://booth.pm/ja/items/8162965 ■※カザリス固有の注意点 カザリスは製品版にすでにフェイストラッキングに対応したprefabが同梱されています。 まずはそちらを試してみてから当商品の購入を検討することをお勧めします。 ■※注意 こちらの商品はフェイストラッキングアドオンの設定ファイルのみであり、単体では動作しません。 以下のツールが別で必要となります。 ・Haïさんのフェイストラッキングツール「FaceTra」",[7087],{"url":7088,"type":7066},"https://booth.pximg.net/c/620x620/e68dbfcd-3433-43e5-9713-4ffd8b8f621e/i/8242579/c5eec6a0-7909-4831-8cca-d99c202745f0_base_resized.jpg",[7090],{"url":7091},"https://booth.pximg.net/c/1200x630_a3_g5_bffffff/e68dbfcd-3433-43e5-9713-4ffd8b8f621e/i/8242579/c5eec6a0-7909-4831-8cca-d99c202745f0_base_resized.jpg",{"twitterSite":7093,"twitterCard":7050,"twitterTitle":7094,"twitterDescription":7095,"ogSiteName":7096,"ogType":7097,"ogTitle":7094,"ogUrl":201,"ogDescription":7095,"ogImage":7098,"twitterImage":7103,"ogLocale":7056,"favicon":7105,"charset":7058,"requestUrl":201,"success":1911},"@github","GitHub - Adjerry91/VRCFaceTracking-Templates: VRC Face Tracking Templates","VRC Face Tracking Templates. Contribute to Adjerry91/VRCFaceTracking-Templates development by creating an account on GitHub.","GitHub","object",[7099],{"height":7100,"url":7101,"width":7102},"600","https://opengraph.githubassets.com/74673ec18166c290c1ec31c4da2c9c1e8e5be4736b690ecb2082ed5fbe68832a/Adjerry91/VRCFaceTracking-Templates","1200",[7104],{"url":7101},"https://github.githubassets.com/favicons/favicon.svg",{"twitterSite":7093,"twitterCard":7050,"twitterTitle":7107,"twitterDescription":7108,"ogSiteName":7096,"ogType":7097,"ogTitle":7107,"ogUrl":542,"ogDescription":7108,"ogImage":7109,"twitterImage":7112,"ogLocale":7056,"favicon":7105,"charset":7058,"requestUrl":542,"success":1911},"GitHub - challenger0303/vr_eyebrow","Contribute to challenger0303/vr_eyebrow development by creating an account on GitHub.",[7110],{"height":7100,"url":7111,"width":7102},"https://opengraph.githubassets.com/0a6c63eb8cde0fcd95a67339c077eadfbc12355d98a3b27372fd38166c17e757/challenger0303/vr_eyebrow",[7113],{"url":7111},{"articleTag":16,"ogSiteName":7115,"ogTitle":7116,"ogUrl":37,"ogType":7117,"ogLocale":7118,"articlePublishedTime":1021,"articleAuthor":7119,"articleSection":12,"ogDescription":7120,"twitterCard":7050,"twitterUrl":37,"twitterTitle":7116,"twitterDescription":7120,"twitterSite":7121,"ogImage":7122,"twitterImage":7126,"ogDate":1021,"favicon":7128,"charset":7058,"requestUrl":37,"success":1911},"YKRV.NET","2度目のVR界への入口「VIVE Focus Vision + アルトラ」雑レビュー - YKRV.NET","article","ja_JP","Yukaryavka","前の記事を書いてから1年が経過する前にようやく書けそうなネタがあったのでまだ情報が不足していそうなVR機器のレビューでも挙げておきます| YKRV.NET - blog article","@Yukaryavka",[7123],{"url":7124,"type":7125},"https://erots.ykrv.net/fragm/_ipx/_/blog/20250221/media/thum.webp","webp",[7127],{"url":7124},"https://erots.ykrv.net/fragm/siz_favicon.ico",1778849887874]