fix(llm): wrong context window

Currently translated at 100.0% (1719 of 1719 strings)

Translation: Trilium Notes/Client
Translate-URL: https://hosted.weblate.org/projects/trilium/client/zh_Hans/

.nvmrc

@@ -1 +1 @@
-24.14.0
+24.14.1

CLAUDE.md

@@ -125,6 +125,15 @@ Trilium provides powerful user scripting capabilities:
 - OpenID and TOTP authentication support
 - Sanitization of user-generated content
 
+### Client-Side API Restrictions
+- **Do not use `crypto.randomUUID()`** or other Web Crypto APIs that require secure contexts - Trilium can run over HTTP, not just HTTPS
+- Use `randomString()` from `apps/client/src/services/utils.ts` for generating IDs instead
+
+### Shared Types Policy
+- Types shared between client and server belong in `@triliumnext/commons` (`packages/commons/src/lib/`)
+- Import shared types directly from `@triliumnext/commons` - do not re-export them from app-specific modules
+- Keep app-specific types (e.g., `LlmProvider` for server, `StreamCallbacks` for client) in their respective apps
+
 ## Common Development Tasks
 
 ### Adding New Note Types

apps/build-docs/package.json

@@ -14,15 +14,15 @@
   "keywords": [],
   "author": "Elian Doran <contact@eliandoran.me>",
   "license": "AGPL-3.0-only",
-  "packageManager": "pnpm@10.32.1",
+  "packageManager": "pnpm@10.33.0",
   "devDependencies": {
-    "@redocly/cli": "2.24.1",
+    "@redocly/cli": "2.25.2",
     "archiver": "7.0.1",
     "fs-extra": "11.3.4",
     "js-yaml": "4.1.1",
     "react": "19.2.4",
     "react-dom": "19.2.4",
-    "typedoc": "0.28.17",
+    "typedoc": "0.28.18",
     "typedoc-plugin-missing-exports": "4.1.2"
   }
 }

apps/client/package.json

@@ -28,7 +28,7 @@
     "@mermaid-js/layout-elk": "0.2.1",
     "@mind-elixir/node-menu": "5.0.1",
     "@popperjs/core": "2.11.8",
-    "@preact/signals": "2.8.2",
+    "@preact/signals": "2.9.0",
     "@triliumnext/ckeditor5": "workspace:*",
     "@triliumnext/codemirror": "workspace:*",
     "@triliumnext/commons": "workspace:*",
@@ -43,7 +43,7 @@
     "@univerjs/preset-sheets-note": "0.18.0",
     "@univerjs/preset-sheets-sort": "0.18.0",
     "@univerjs/presets": "0.18.0",
-    "@zumer/snapdom": "2.5.0",
+    "@zumer/snapdom": "2.6.0",
     "autocomplete.js": "0.38.1",
     "bootstrap": "5.3.8",
     "boxicons": "2.1.4",
@@ -53,12 +53,12 @@
     "draggabilly": "3.0.0",
     "force-graph": "1.51.2",
     "globals": "17.4.0",
-    "i18next": "25.10.3",
+    "i18next": "25.10.10",
     "i18next-http-backend": "3.0.2",
     "jquery": "4.0.0",
     "jquery.fancytree": "2.38.5",
     "jsplumb": "2.15.6",
-    "katex": "0.16.40",
+    "katex": "0.16.44",
     "leaflet": "1.9.4",
     "leaflet-gpx": "2.2.0",
     "mark.js": "8.11.1",
@@ -66,9 +66,9 @@
     "mermaid": "11.13.0",
     "mind-elixir": "5.9.3",
     "normalize.css": "8.0.1",
-    "panzoom": "9.4.3",
+    "panzoom": "9.4.4",
     "preact": "10.29.0",
-    "react-i18next": "16.6.0",
+    "react-i18next": "17.0.0",
     "react-window": "2.2.7",
     "reveal.js": "6.0.0",
     "rrule": "2.8.1",
@@ -86,9 +86,9 @@
     "@types/mark.js": "8.11.12",
     "@types/tabulator-tables": "6.3.1",
     "copy-webpack-plugin": "14.0.0",
-    "happy-dom": "20.8.4",
+    "happy-dom": "20.8.9",
     "lightningcss": "1.32.0",
     "script-loader": "0.7.2",
-    "vite-plugin-static-copy": "3.3.0"
+    "vite-plugin-static-copy": "3.4.0"
   }
 }

apps/client/src/entities/fnote.ts

@@ -18,7 +18,7 @@ const RELATION = "relation";
  * end user. Those types should be used only for checking against, they are
  * not for direct use.
  */
-export type NoteType = "file" | "image" | "search" | "noteMap" | "launcher" | "doc" | "contentWidget" | "text" | "relationMap" | "render" | "canvas" | "mermaid" | "book" | "webView" | "code" | "mindMap" | "spreadsheet";
+export type NoteType = "file" | "image" | "search" | "noteMap" | "launcher" | "doc" | "contentWidget" | "text" | "relationMap" | "render" | "canvas" | "mermaid" | "book" | "webView" | "code" | "mindMap" | "spreadsheet" | "llmChat";
 
 export interface NotePathRecord {
     isArchived: boolean;

apps/client/src/services/in_app_help.ts

@@ -19,7 +19,8 @@ export const byNoteType: Record<Exclude<NoteType, "book">, string | null> = {
     search: null,
     text: null,
     webView: null,
-    spreadsheet: null
+    spreadsheet: null,
+    llmChat: null
 };
 
 export const byBookType: Record<ViewTypeOptions, string | null> = {

apps/client/src/services/llm_chat.ts

@@ -0,0 +1,109 @@
+import type { LlmMessage, LlmCitation, LlmChatConfig, LlmUsage, LlmModelInfo } from "@triliumnext/commons";
+import server from "./server.js";
+
+/**
+ * Fetch available models for a provider.
+ */
+export async function getAvailableModels(provider: string = "anthropic"): Promise<LlmModelInfo[]> {
+    const response = await server.get<{ models: LlmModelInfo[] }>(`llm-chat/models?provider=${encodeURIComponent(provider)}`);
+    return response.models;
+}
+
+export interface StreamCallbacks {
+    onChunk: (text: string) => void;
+    onThinking?: (text: string) => void;
+    onToolUse?: (toolName: string, input: Record<string, unknown>) => void;
+    onToolResult?: (toolName: string, result: string) => void;
+    onCitation?: (citation: LlmCitation) => void;
+    onUsage?: (usage: LlmUsage) => void;
+    onError: (error: string) => void;
+    onDone: () => void;
+}
+
+/**
+ * Stream a chat completion from the LLM API using Server-Sent Events.
+ */
+export async function streamChatCompletion(
+    messages: LlmMessage[],
+    config: LlmChatConfig,
+    callbacks: StreamCallbacks
+): Promise<void> {
+    const headers = await server.getHeaders();
+
+    const response = await fetch(`${window.glob.baseApiUrl}llm-chat/stream`, {
+        method: "POST",
+        headers: {
+            ...headers,
+            "Content-Type": "application/json"
+        } as HeadersInit,
+        body: JSON.stringify({ messages, config })
+    });
+
+    if (!response.ok) {
+        callbacks.onError(`HTTP ${response.status}: ${response.statusText}`);
+        return;
+    }
+
+    const reader = response.body?.getReader();
+    if (!reader) {
+        callbacks.onError("No response body");
+        return;
+    }
+
+    const decoder = new TextDecoder();
+    let buffer = "";
+
+    try {
+        while (true) {
+            const { done, value } = await reader.read();
+            if (done) break;
+
+            buffer += decoder.decode(value, { stream: true });
+            const lines = buffer.split("\n");
+            buffer = lines.pop() || "";
+
+            for (const line of lines) {
+                if (line.startsWith("data: ")) {
+                    try {
+                        const data = JSON.parse(line.slice(6));
+
+                        switch (data.type) {
+                            case "text":
+                                callbacks.onChunk(data.content);
+                                break;
+                            case "thinking":
+                                callbacks.onThinking?.(data.content);
+                                break;
+                            case "tool_use":
+                                callbacks.onToolUse?.(data.toolName, data.toolInput);
+                                break;
+                            case "tool_result":
+                                callbacks.onToolResult?.(data.toolName, data.result);
+                                break;
+                            case "citation":
+                                if (data.citation) {
+                                    callbacks.onCitation?.(data.citation);
+                                }
+                                break;
+                            case "usage":
+                                if (data.usage) {
+                                    callbacks.onUsage?.(data.usage);
+                                }
+                                break;
+                            case "error":
+                                callbacks.onError(data.error);
+                                break;
+                            case "done":
+                                callbacks.onDone();
+                                break;
+                        }
+                    } catch {
+                        // Ignore JSON parse errors for partial data
+                    }
+                }
+            }
+        }
+    } finally {
+        reader.releaseLock();
+    }
+}

apps/client/src/services/note_types.ts

@@ -41,6 +41,7 @@ export const NOTE_TYPES: NoteTypeMapping[] = [
     { type: "relationMap", mime: "application/json", title: t("note_types.relation-map"), icon: "bxs-network-chart" },
 
     // Misc note types
+    { type: "llmChat", mime: "application/json", title: t("note_types.llm-chat"), icon: "bx-message-square-dots" },
     { type: "render", mime: "", title: t("note_types.render-note"), icon: "bx-extension" },
     { type: "search", title: t("note_types.saved-search"), icon: "bx-file-find", static: true },
     { type: "webView", mime: "", title: t("note_types.web-view"), icon: "bx-globe-alt" },

apps/client/src/translations/ca/translation.json

@@ -93,7 +93,10 @@
     "digits": "dígits",
     "inheritable": "Heretable",
     "delete": "Suprimeix",
-    "color_type": "Color"
+    "color_type": "Color",
+    "textarea": "Text multi linia",
+    "date_time": "Data i hora",
+    "precision_title": "Quants dígits han d'estar disponibles per a coma flotant a la interfície de configuració."
   },
   "rename_label": {
     "to": "Per"

apps/client/src/translations/cn/translation.json

@@ -446,7 +446,8 @@
     "and_more": "... 以及另外 {{count}} 个。",
     "print_landscape": "导出为 PDF 时，将页面方向更改为横向而不是纵向。",
     "print_page_size": "导出为 PDF 时，更改页面大小。支持的值：<code>A0</code>、<code>A1</code>、<code>A2</code>、<code>A3</code>、<code>A4</code>、<code>A5</code>、<code>A6</code>、<code>Legal</code>、<code>Letter</code>、<code>Tabloid</code>、<code>Ledger</code>。",
-    "color_type": "颜色"
+    "color_type": "颜色",
+    "textarea": "多行文本"
   },
   "attribute_editor": {
     "help_text_body1": "要添加标签，只需输入例如 <code>#rock</code> 或者如果您还想添加值，则例如 <code>#year = 2020</code>",
@@ -2167,5 +2168,52 @@
   },
   "setup_form": {
     "more_info": "了解更多"
+  },
+  "media": {
+    "play": "播放（空格）",
+    "pause": "暂停（空格）",
+    "back-10s": "后退10秒（左箭头键）",
+    "forward-30s": "前进30秒",
+    "mute": "静音（M）",
+    "unmute": "取消静音（M）",
+    "playback-speed": "播放速度",
+    "loop": "循环播放",
+    "disable-loop": "禁用循环播放",
+    "rotate": "旋转",
+    "picture-in-picture": "画中画",
+    "exit-picture-in-picture": "退出画中画",
+    "fullscreen": "全屏（F）",
+    "exit-fullscreen": "退出全屏",
+    "unsupported-format": "此文件格式不支持媒体预览：\n{{mime}}",
+    "zoom-to-fit": "缩放以填充",
+    "zoom-reset": "重置缩放以填充"
+  },
+  "mermaid": {
+    "sample_diagrams": "示例图：",
+    "sample_flowchart": "流程图",
+    "sample_class": "类图",
+    "sample_sequence": "时序图",
+    "sample_entity_relationship": "实体关系图",
+    "sample_state": "状态图",
+    "sample_mindmap": "思维导图",
+    "sample_architecture": "架构图",
+    "sample_block": "模块图",
+    "sample_c4": "C4 图",
+    "sample_gantt": "甘特图",
+    "sample_git": "Git 流程图",
+    "sample_kanban": "看板图",
+    "sample_packet": "数据包图",
+    "sample_pie": "饼图",
+    "sample_quadrant": "象限图",
+    "sample_radar": "雷达图",
+    "sample_requirement": "需求图",
+    "sample_sankey": "桑基图",
+    "sample_timeline": "时间轴图",
+    "sample_treemap": "树形图",
+    "sample_user_journey": "用户旅程图",
+    "sample_xy": "散点图",
+    "sample_venn": "韦恩图",
+    "sample_ishikawa": "鱼骨图",
+    "placeholder": "输入你的美人鱼图的内容，或者使用下面的示例图之一。"
   }
 }

apps/client/src/translations/de/translation.json

@@ -446,7 +446,8 @@
     "and_more": "... und {{count}} mehr.",
     "print_landscape": "Beim Export als PDF, wird die Seitenausrichtung Querformat anstatt Hochformat verwendet.",
     "print_page_size": "Beim Export als PDF, wird die Größe der Seite angepasst. Unterstützte Größen: <code>A0</code>, <code>A1</code>, <code>A2</code>, <code>A3</code>, <code>A4</code>, <code>A5</code>, <code>A6</code>, <code>Legal</code>, <code>Letter</code>, <code>Tabloid</code>, <code>Ledger</code>.",
-    "color_type": "Farbe"
+    "color_type": "Farbe",
+    "textarea": "Mehrzeilen-Text"
   },
   "attribute_editor": {
     "help_text_body1": "Um ein Label hinzuzufügen, gebe einfach z.B. ein. <code>#rock</code> oder wenn du auch einen Wert hinzufügen möchten, dann z.B. <code>#year = 2024</code>",

apps/client/src/translations/en/translation.json

@@ -1599,6 +1599,7 @@
     "geo-map": "Geo Map",
     "beta-feature": "Beta",
     "ai-chat": "AI Chat",
+    "llm-chat": "AI Chat",
     "task-list": "Task List",
     "new-feature": "New",
     "collections": "Collections",
@@ -1610,6 +1611,27 @@
     "toggle-on-hint": "Note is not protected, click to make it protected",
     "toggle-off-hint": "Note is protected, click to make it unprotected"
   },
+  "llm_chat": {
+    "placeholder": "Type a message...",
+    "send": "Send",
+    "sending": "Sending...",
+    "empty_state": "Start a conversation by typing a message below.",
+    "searching_web": "Searching the web...",
+    "web_search": "Web search",
+    "note_tools": "Note access",
+    "sources": "Sources",
+    "extended_thinking": "Extended thinking",
+    "thinking": "Thinking...",
+    "thought_process": "Thought process",
+    "tool_calls": "{{count}} tool call(s)",
+    "input": "Input",
+    "result": "Result",
+    "tokens_used": "{{prompt}} prompt + {{completion}} completion = {{total}} tokens",
+    "tokens_used_with_cost": "{{prompt}} prompt + {{completion}} completion = {{total}} tokens (~${{cost}})",
+    "tokens_used_with_model": "{{model}}: {{prompt}} prompt + {{completion}} completion = {{total}} tokens",
+    "tokens_used_with_model_and_cost": "{{model}}: {{prompt}} prompt + {{completion}} completion = {{total}} tokens (~${{cost}})",
+    "tokens": "tokens"
+  },
   "shared_switch": {
     "shared": "Shared",
     "toggle-on-title": "Share the note",

apps/client/src/translations/ga/translation.json

@@ -477,7 +477,8 @@
     "and_more": "... agus {{count}} eile.",
     "print_landscape": "Agus é á onnmhairiú go PDF, athraítear treoshuíomh an leathanaigh go tírdhreach seachas portráid.",
     "print_page_size": "Agus é á easpórtáil go PDF, athraítear méid an leathanaigh. Luachanna tacaithe: <code>A0</code>, <code>A1</code>, <code>A2</code>, <code>A3</code>, <code>A4</code>, <code>A5</code>, <code>A6</code>, <code>Legal</code>, <code>Letter</code>, <code>Tabloid</code>, <code>Ledger</code>.",
-    "color_type": "Dath"
+    "color_type": "Dath",
+    "textarea": "Téacs Il-líne"
   },
   "attribute_editor": {
     "help_text_body1": "Chun lipéad a chur leis, clóscríobh m.sh. <code>#rock</code> nó más mian leat luach a chur leis freisin ansin m.sh. <code>#year = 2020</code>",

apps/client/src/translations/it/translation.json

@@ -520,7 +520,7 @@
     "custom_name_label": "Nome del motore di ricerca personalizzato",
     "custom_name_placeholder": "Personalizza il nome del motore di ricerca",
     "custom_url_label": "L'URL del motore di ricerca personalizzato deve includere {keyword} come segnaposto per il termine di ricerca.",
-    "custom_url_placeholder": "Personalizza l'URL del motore di ricerca"
+    "custom_url_placeholder": "Personalizza indirizzo url del motore di ricerca"
   },
   "sql_table_schemas": {
     "tables": "Tabelle"
@@ -917,7 +917,8 @@
     "print_landscape": "Quando si esporta in PDF, cambia l'orientamento della pagina da verticale a orizzontale.",
     "print_page_size": "Quando si esporta in PDF, modifica le dimensioni della pagina. Valori supportati: <code>A0</code>, <code>A1</code>, <code>A2</code>, <code>A3</code>, <code>A4</code>, <code>A5</code>, <code>A6</code>, <code>Legal</code>, <code>Letter</code>, <code>Tabloid</code>, <code>Ledger</code>.",
     "color_type": "Colore",
-    "share_root": "segna la nota che viene servita su /share root."
+    "share_root": "segna la nota che viene servita su /share root.",
+    "textarea": "Testo su più righe"
   },
   "attribute_editor": {
     "help_text_body1": "Per aggiungere un'etichetta, basta digitare ad esempio <code>#rock</code> oppure, se si desidera aggiungere anche un valore, ad esempio <code>#year = 2020</code>",
@@ -2197,5 +2198,52 @@
   },
   "setup_form": {
     "more_info": "Per saperne di più"
+  },
+  "media": {
+    "play": "Gioca (Barra spaziatrice)",
+    "pause": "Pausa (Barra spaziatrice)",
+    "back-10s": "Indietro di 10 (tasto freccia sinistra)",
+    "forward-30s": "Avanti 30s",
+    "mute": "Muto (M)",
+    "unmute": "Riattiva audio (M)",
+    "playback-speed": "Velocità di riproduzione",
+    "loop": "Ciclo",
+    "disable-loop": "Disattiva il ciclo",
+    "rotate": "Ruota",
+    "picture-in-picture": "Immagine nell'immagine",
+    "exit-picture-in-picture": "Esci dalla modalità picture-in-picture",
+    "fullscreen": "Schermo intero (F)",
+    "exit-fullscreen": "Esci dalla modalità a schermo intero",
+    "unsupported-format": "Per questo formato di file non è disponibile l'anteprima multimediale:\n{{mime}}",
+    "zoom-to-fit": "Ingrandisci per riempire",
+    "zoom-reset": "Ripristina lo zoom a schermo intero"
+  },
+  "mermaid": {
+    "placeholder": "Digita il contenuto del tuo diagramma Mermaid oppure utilizza uno dei diagrammi di esempio riportati di seguito.",
+    "sample_diagrams": "Esempi di diagrammi:",
+    "sample_flowchart": "Diagramma di flusso",
+    "sample_class": "Classe",
+    "sample_sequence": "Sequenza",
+    "sample_entity_relationship": "Relazioni tra entità",
+    "sample_state": "Stato",
+    "sample_mindmap": "Mappa mentale",
+    "sample_architecture": "Architettura",
+    "sample_block": "Blocco",
+    "sample_c4": "C4",
+    "sample_gantt": "Gantt",
+    "sample_git": "Git",
+    "sample_kanban": "Kanban",
+    "sample_packet": "Packet",
+    "sample_pie": "Torta",
+    "sample_quadrant": "Quadrante",
+    "sample_radar": "Radar",
+    "sample_requirement": "Requisito",
+    "sample_sankey": "Chiave",
+    "sample_timeline": "Cronologia",
+    "sample_treemap": "Treemap",
+    "sample_user_journey": "Percorso dell'utente",
+    "sample_xy": "XY",
+    "sample_venn": "Venn",
+    "sample_ishikawa": "Ishikawa"
   }
 }

apps/client/src/translations/pl/translation.json

@@ -117,7 +117,7 @@
     "no_path_to_clone_to": "Brak ścieżki do sklonowania.",
     "note_cloned": "Notatka \"{{clonedTitle}}\" została sklonowana do \"{{targetTitle}}\"",
     "help_on_links": "Pomoc dotycząca linków",
-    "target_parent_note": "Docelowa notatka nadrzędna"
+    "target_parent_note": "Docelowa notatka pierwotna"
   },
   "help": {
     "title": "Ściągawka",
@@ -126,7 +126,7 @@
     "collapseExpand": "zwiń/rozwiń węzeł",
     "notSet": "nie ustawiono",
     "goBackForwards": "idź wstecz / do przodu w historii",
-    "showJumpToNoteDialog": "pokaż okno <a class=\"external\" href=\"https://triliumnext.github.io/Docs/Wiki/note-navigation.html#jump-to-note\">\"Przejdź do\"</a>",
+    "showJumpToNoteDialog": "pokaż <a class=\"external\" href=\"https://triliumnext.github.io/Docs/Wiki/note-navigation.html#jump-to-note\">\"Przejdź do\"</a>",
     "scrollToActiveNote": "przewiń do aktywnej notatki",
     "jumpToParentNote": "przejdź do notatki nadrzędnej",
     "collapseWholeTree": "zwiń całe drzewo notatek",
@@ -402,7 +402,8 @@
     "and_more": "... i {{count}} więcej.",
     "print_landscape": "Podczas eksportowania do PDF zmienia orientację strony na poziomą zamiast pionowej.",
     "print_page_size": "Podczas eksportowania do PDF zmienia rozmiar strony. Obsługiwane wartości: <code>A0</code>, <code>A1</code>, <code>A2</code>, <code>A3</code>, <code>A4</code>, <code>A5</code>, <code>A6</code>, <code>Legal</code>, <code>Letter</code>, <code>Tabloid</code>, <code>Ledger</code>.",
-    "color_type": "Kolor"
+    "color_type": "Kolor",
+    "textarea": "Wiele linii tekstu"
   },
   "import": {
     "importIntoNote": "Importuj do notatki",
@@ -1613,7 +1614,7 @@
     "password_changed_success": "Hasło zostało zmienione. Trilium zostanie przeładowane po naciśnięciu OK."
   },
   "multi_factor_authentication": {
-    "title": "Uwierzytelnianie wieloskładnikowe (MFA)",
+    "title": "Uwierzytelnianie wieloskładnikowe",
     "description": "Uwierzytelnianie wieloskładnikowe (MFA) dodaje dodatkową warstwę zabezpieczeń do Twojego konta. Zamiast tylko wpisywać hasło do logowania, MFA wymaga podania jednego lub więcej dodatkowych dowodów tożsamości. W ten sposób, nawet jeśli ktoś zdobędzie Twoje hasło, nadal nie będzie mógł uzyskać dostępu do Twojego konta bez drugiej informacji. To jak dodanie dodatkowego zamka do drzwi, utrudniającego włamanie.<br><br>Proszę postępować zgodnie z poniższymi instrukcjami, aby włączyć MFA. Jeśli nie skonfigurujesz poprawnie, logowanie powróci do samego hasła.",
     "mfa_enabled": "Włącz uwierzytelnianie wieloskładnikowe",
     "mfa_method": "Metoda MFA",
@@ -1628,7 +1629,7 @@
     "totp_secret_generated": "Sekret TOTP wygenerowany",
     "totp_secret_warning": "Proszę zapisać wygenerowany sekret w bezpiecznym miejscu. Nie zostanie pokazany ponownie.",
     "totp_secret_regenerate_confirm": "Czy na pewno chcesz ponownie wygenerować sekret TOTP? To unieważni poprzedni sekret TOTP i wszystkie istniejące kody odzyskiwania.",
-    "recovery_keys_title": "Klucze odzyskiwania logowania jednokrotnego (SSO)",
+    "recovery_keys_title": "Klucze odzyskiwania logowania jednokrotnego",
     "recovery_keys_description": "Klucze odzyskiwania logowania jednokrotnego służą do logowania w przypadku braku dostępu do kodów Authenticator.",
     "recovery_keys_description_warning": "Klucze odzyskiwania nie zostaną pokazane ponownie po opuszczeniu strony, przechowuj je w bezpiecznym miejscu.<br>Po użyciu klucza odzyskiwania nie można go użyć ponownie.",
     "recovery_keys_error": "Błąd generowania kodów odzyskiwania",
@@ -1766,7 +1767,7 @@
     "book": "Kolekcja",
     "mermaid-diagram": "Diagram Mermaid",
     "canvas": "Płótno",
-    "web-view": "Widok WWW",
+    "web-view": "Widok strony web",
     "mind-map": "Mapa myśli",
     "file": "Plik",
     "image": "Obraz",
@@ -1815,9 +1816,9 @@
     "modal_title": "Konfiguracja listy wyróżnień",
     "menu_configure": "Konfiguracja listy wyróżnień...",
     "no_highlights": "Nie znaleziono wyróżnień.",
-    "title_with_count_one": "{{count}} podświetlenie",
-    "title_with_count_few": "{{count}} podświetlenia",
-    "title_with_count_many": "{{count}} podświetleń"
+    "title_with_count_one": "{{count}} wyróżnienie",
+    "title_with_count_few": "{{count}} wyróżnienia",
+    "title_with_count_many": "{{count}} wyróżnień"
   },
   "quick-search": {
     "placeholder": "Szybkie wyszukiwanie",
@@ -2070,7 +2071,7 @@
     "read_only_temporarily_disabled_description": "Ta notatka jest obecnie edytowalna, ale normalnie jest tylko do odczytu. Notatka powróci do trybu tylko do odczytu, gdy tylko przejdziesz do innej notatki.\n\nKliknij, aby ponownie włączyć tryb tylko do odczytu.",
     "shared_publicly": "Udostępniona publicznie",
     "shared_locally": "Udostępniona lokalnie",
-    "clipped_note": "Wycinek WWW",
+    "clipped_note": "Wycinek z sieci",
     "clipped_note_description": "Ta notatka została pierwotnie pobrana z {{url}}.\n\nKliknij, aby przejść do źródłowej strony internetowej.",
     "execute_script": "Uruchom skrypt",
     "execute_script_description": "Ta notatka jest notatką skryptową. Kliknij, aby wykonać skrypt.",
@@ -2236,7 +2237,7 @@
     "sample_c4": "C4",
     "sample_gantt": "Wykres Gantta",
     "sample_git": "Diagram Git",
-    "sample_kanban": "Kanban",
+    "sample_kanban": "Tablica Kanban",
     "sample_packet": "Diagram pakietów",
     "sample_pie": "Wykres kołowy",
     "sample_quadrant": "Diagram kwadrantowy",

apps/client/src/translations/tw/translation.json

@@ -2226,7 +2226,7 @@
     "sample_sankey": "桑基圖",
     "sample_timeline": "時間軸",
     "sample_treemap": "樹狀圖",
-    "sample_user_journey": "用戶旅程",
+    "sample_user_journey": "使用者旅程",
     "sample_xy": "XY 圖表",
     "sample_venn": "韋恩圖",
     "sample_ishikawa": "魚骨圖"

apps/client/src/widgets/note_types.tsx

@@ -12,7 +12,7 @@ import { TypeWidgetProps } from "./type_widgets/type_widget";
  * A `NoteType` altered by the note detail widget, taking into consideration whether the note is editable or not and adding special note types such as an empty one,
  * for protected session or attachment information.
  */
-export type ExtendedNoteType = Exclude<NoteType, "launcher" | "text" | "code"> | "empty" | "readOnlyCode" | "readOnlyText" | "editableText" | "editableCode" | "attachmentDetail" | "attachmentList" |  "protectedSession" | "sqlConsole";
+export type ExtendedNoteType = Exclude<NoteType, "launcher" | "text" | "code" | "llmChat"> | "empty" | "readOnlyCode" | "readOnlyText" | "editableText" | "editableCode" | "attachmentDetail" | "attachmentList" |  "protectedSession" | "sqlConsole" | "llmChat";
 
 export type TypeWidget = ((props: TypeWidgetProps) => VNode | JSX.Element | undefined);
 type NoteTypeView = () => (Promise<{ default: TypeWidget } | TypeWidget> | TypeWidget);
@@ -147,5 +147,11 @@ export const TYPE_MAPPINGS: Record<ExtendedNoteType, NoteTypeMapping> = {
         className: "note-detail-spreadsheet",
         printable: true,
         isFullHeight: true
+    },
+    llmChat: {
+        view: () => import("./type_widgets/llm_chat/LlmChat"),
+        className: "note-detail-llm-chat",
+        printable: true,
+        isFullHeight: true
     }
 };

apps/client/src/widgets/ribbon/NoteActions.tsx

@@ -85,7 +85,7 @@ export function NoteContextMenu({ note, noteContext, itemsAtStart, itemsNearNote
     );
     const isElectron = getIsElectron();
     const isMac = getIsMac();
-    const hasSource = ["text", "code", "relationMap", "mermaid", "canvas", "mindMap", "spreadsheet"].includes(noteType);
+    const hasSource = ["text", "code", "relationMap", "mermaid", "canvas", "mindMap", "spreadsheet", "llmChat"].includes(noteType);
     const isSearchOrBook = ["search", "book"].includes(noteType);
     const isHelpPage = note.noteId.startsWith("_help");
     const [syncServerHost] = useTriliumOption("syncServerHost");

apps/client/src/widgets/type_widgets/llm_chat/ChatMessage.tsx

@@ -0,0 +1,211 @@
+import type { LlmCitation, LlmUsage } from "@triliumnext/commons";
+import { useMemo } from "preact/hooks";
+import { marked } from "marked";
+import { t } from "../../../services/i18n.js";
+import "./LlmChat.css";
+
+// Configure marked for safe rendering
+marked.setOptions({
+    breaks: true, // Convert \n to <br>
+    gfm: true // GitHub Flavored Markdown
+});
+
+type MessageType = "message" | "error" | "thinking";
+
+interface ToolCall {
+    id: string;
+    toolName: string;
+    input: Record<string, unknown>;
+    result?: string;
+}
+
+interface StoredMessage {
+    id: string;
+    role: "user" | "assistant" | "system";
+    content: string;
+    createdAt: string;
+    citations?: LlmCitation[];
+    /** Message type for special rendering. Defaults to "message" if omitted. */
+    type?: MessageType;
+    /** Tool calls made during this response */
+    toolCalls?: ToolCall[];
+    /** Token usage for this response */
+    usage?: LlmUsage;
+}
+
+interface Props {
+    message: StoredMessage;
+    isStreaming?: boolean;
+}
+
+export default function ChatMessage({ message, isStreaming }: Props) {
+    const roleLabel = message.role === "user" ? "You" : "Assistant";
+    const isError = message.type === "error";
+    const isThinking = message.type === "thinking";
+
+    // Render markdown for assistant messages (not errors or thinking)
+    const renderedContent = useMemo(() => {
+        if (message.role === "assistant" && !isError && !isThinking) {
+            return marked.parse(message.content) as string;
+        }
+        return null;
+    }, [message.content, message.role, isError, isThinking]);
+
+    const messageClasses = [
+        "llm-chat-message",
+        `llm-chat-message-${message.role}`,
+        isError && "llm-chat-message-error",
+        isThinking && "llm-chat-message-thinking"
+    ].filter(Boolean).join(" ");
+
+    // Render thinking messages in a collapsible details element
+    if (isThinking) {
+        return (
+            <details className={messageClasses}>
+                <summary className="llm-chat-thinking-summary">
+                    <span className="bx bx-brain" />
+                    {t("llm_chat.thought_process")}
+                </summary>
+                <div className="llm-chat-message-content llm-chat-thinking-content">
+                    {message.content}
+                    {isStreaming && <span className="llm-chat-cursor" />}
+                </div>
+            </details>
+        );
+    }
+
+    return (
+        <div className={messageClasses}>
+            <div className="llm-chat-message-role">
+                {isError ? "Error" : roleLabel}
+            </div>
+            <div className="llm-chat-message-content">
+                {message.role === "assistant" && !isError ? (
+                    <>
+                        <div
+                            className="llm-chat-markdown"
+                            dangerouslySetInnerHTML={{ __html: renderedContent || "" }}
+                        />
+                        {isStreaming && <span className="llm-chat-cursor" />}
+                    </>
+                ) : (
+                    message.content
+                )}
+            </div>
+            {message.toolCalls && message.toolCalls.length > 0 && (
+                <details className="llm-chat-tool-calls">
+                    <summary className="llm-chat-tool-calls-summary">
+                        <span className="bx bx-wrench" />
+                        {t("llm_chat.tool_calls", { count: message.toolCalls.length })}
+                    </summary>
+                    <div className="llm-chat-tool-calls-list">
+                        {message.toolCalls.map((tool) => (
+                            <div key={tool.id} className="llm-chat-tool-call">
+                                <div className="llm-chat-tool-call-name">
+                                    {tool.toolName}
+                                </div>
+                                <div className="llm-chat-tool-call-input">
+                                    <strong>{t("llm_chat.input")}:</strong>
+                                    <pre>{JSON.stringify(tool.input, null, 2)}</pre>
+                                </div>
+                                {tool.result && (
+                                    <div className="llm-chat-tool-call-result">
+                                        <strong>{t("llm_chat.result")}:</strong>
+                                        <pre>{(() => {
+                                            if (typeof tool.result === "string" && (tool.result.startsWith("{") || tool.result.startsWith("["))) {
+                                                try {
+                                                    return JSON.stringify(JSON.parse(tool.result), null, 2);
+                                                } catch {
+                                                    return tool.result;
+                                                }
+                                            }
+                                            return tool.result;
+                                        })()}</pre>
+                                    </div>
+                                )}
+                            </div>
+                        ))}
+                    </div>
+                </details>
+            )}
+            {message.citations && message.citations.length > 0 && (
+                <div className="llm-chat-citations">
+                    <div className="llm-chat-citations-label">
+                        <span className="bx bx-link" />
+                        {t("llm_chat.sources")}
+                    </div>
+                    <ul className="llm-chat-citations-list">
+                        {message.citations.map((citation, idx) => {
+                            // Determine display text: title, URL hostname, or cited text
+                            let displayText = citation.title;
+                            if (!displayText && citation.url) {
+                                try {
+                                    displayText = new URL(citation.url).hostname;
+                                } catch {
+                                    displayText = citation.url;
+                                }
+                            }
+                            if (!displayText) {
+                                displayText = citation.citedText?.slice(0, 50) || `Source ${idx + 1}`;
+                            }
+
+                            return (
+                                <li key={idx}>
+                                    {citation.url ? (
+                                        <a
+                                            href={citation.url}
+                                            target="_blank"
+                                            rel="noopener noreferrer"
+                                            title={citation.citedText || citation.url}
+                                        >
+                                            {displayText}
+                                        </a>
+                                    ) : (
+                                        <span title={citation.citedText}>
+                                            {displayText}
+                                        </span>
+                                    )}
+                                </li>
+                            );
+                        })}
+                    </ul>
+                </div>
+            )}
+            {message.usage && typeof message.usage.promptTokens === "number" && (
+                <div className="llm-chat-usage">
+                    <span className="bx bx-chip" />
+                    <span className="llm-chat-usage-text">
+                        {message.usage.model && message.usage.cost != null
+                            ? t("llm_chat.tokens_used_with_model_and_cost", {
+                                model: message.usage.model,
+                                prompt: message.usage.promptTokens.toLocaleString(),
+                                completion: message.usage.completionTokens.toLocaleString(),
+                                total: message.usage.totalTokens.toLocaleString(),
+                                cost: message.usage.cost.toFixed(4)
+                            })
+                            : message.usage.model
+                            ? t("llm_chat.tokens_used_with_model", {
+                                model: message.usage.model,
+                                prompt: message.usage.promptTokens.toLocaleString(),
+                                completion: message.usage.completionTokens.toLocaleString(),
+                                total: message.usage.totalTokens.toLocaleString()
+                            })
+                            : message.usage.cost != null
+                            ? t("llm_chat.tokens_used_with_cost", {
+                                prompt: message.usage.promptTokens.toLocaleString(),
+                                completion: message.usage.completionTokens.toLocaleString(),
+                                total: message.usage.totalTokens.toLocaleString(),
+                                cost: message.usage.cost.toFixed(4)
+                            })
+                            : t("llm_chat.tokens_used", {
+                                prompt: message.usage.promptTokens.toLocaleString(),
+                                completion: message.usage.completionTokens.toLocaleString(),
+                                total: message.usage.totalTokens.toLocaleString()
+                            })
+                        }
+                    </span>
+                </div>
+            )}
+        </div>
+    );
+}

apps/client/src/widgets/type_widgets/llm_chat/LlmChat.css

@@ -0,0 +1,577 @@
+.llm-chat-container {
+    display: flex;
+    flex-direction: column;
+    height: 100%;
+    padding: 1rem;
+    box-sizing: border-box;
+}
+
+.llm-chat-messages {
+    flex: 1;
+    overflow-y: auto;
+    padding-bottom: 1rem;
+}
+
+.llm-chat-empty {
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    height: 100%;
+    color: var(--muted-text-color);
+    font-style: italic;
+}
+
+.llm-chat-message {
+    margin-bottom: 1rem;
+    padding: 0.75rem 1rem;
+    border-radius: 8px;
+    max-width: 85%;
+    user-select: text;
+}
+
+.llm-chat-message-user {
+    background: var(--accented-background-color);
+    margin-left: auto;
+}
+
+.llm-chat-message-assistant {
+    background: var(--main-background-color);
+    border: 1px solid var(--main-border-color);
+    margin-right: auto;
+}
+
+.llm-chat-message-role {
+    font-weight: 600;
+    margin-bottom: 0.25rem;
+    font-size: 0.8rem;
+    color: var(--muted-text-color);
+}
+
+.llm-chat-message-content {
+    word-wrap: break-word;
+    line-height: 1.5;
+}
+
+/* Preserve whitespace only for user messages (plain text) */
+.llm-chat-message-user .llm-chat-message-content {
+    white-space: pre-wrap;
+}
+
+.llm-chat-cursor {
+    display: inline-block;
+    width: 8px;
+    height: 1.1em;
+    background: currentColor;
+    margin-left: 2px;
+    vertical-align: text-bottom;
+    animation: llm-chat-blink 1s infinite;
+}
+
+@keyframes llm-chat-blink {
+    0%, 50% { opacity: 1; }
+    51%, 100% { opacity: 0; }
+}
+
+/* Tool activity indicator */
+.llm-chat-tool-activity {
+    display: flex;
+    align-items: center;
+    gap: 0.5rem;
+    padding: 0.5rem 1rem;
+    margin-bottom: 1rem;
+    border-radius: 8px;
+    background: var(--accented-background-color);
+    color: var(--muted-text-color);
+    font-size: 0.9rem;
+    max-width: 85%;
+}
+
+.llm-chat-tool-spinner {
+    width: 16px;
+    height: 16px;
+    border: 2px solid var(--muted-text-color);
+    border-top-color: transparent;
+    border-radius: 50%;
+    animation: llm-chat-spin 0.8s linear infinite;
+}
+
+@keyframes llm-chat-spin {
+    to { transform: rotate(360deg); }
+}
+
+/* Citations */
+.llm-chat-citations {
+    margin-top: 0.75rem;
+    padding-top: 0.75rem;
+    border-top: 1px solid var(--main-border-color);
+}
+
+.llm-chat-citations-label {
+    display: flex;
+    align-items: center;
+    gap: 0.25rem;
+    font-size: 0.8rem;
+    font-weight: 600;
+    color: var(--muted-text-color);
+    margin-bottom: 0.25rem;
+}
+
+.llm-chat-citations-list {
+    margin: 0;
+    padding: 0;
+    list-style: none;
+    display: flex;
+    flex-wrap: wrap;
+    gap: 0.5rem;
+}
+
+.llm-chat-citations-list li {
+    font-size: 0.8rem;
+}
+
+.llm-chat-citations-list a {
+    color: var(--link-color, #007bff);
+    text-decoration: none;
+    padding: 0.125rem 0.5rem;
+    background: var(--accented-background-color);
+    border-radius: 4px;
+    display: inline-block;
+}
+
+.llm-chat-citations-list a:hover {
+    text-decoration: underline;
+}
+
+/* Error */
+.llm-chat-error {
+    padding: 0.75rem 1rem;
+    margin-bottom: 1rem;
+    border-radius: 8px;
+    background: var(--danger-background-color, #fee);
+    border: 1px solid var(--danger-border-color, #fcc);
+    color: var(--danger-text-color, #c00);
+    user-select: text;
+}
+
+/* Error message (persisted in conversation) */
+.llm-chat-message-error {
+    background: var(--danger-background-color, #fee);
+    border: 1px solid var(--danger-border-color, #fcc);
+    color: var(--danger-text-color, #c00);
+}
+
+.llm-chat-message-error .llm-chat-message-role {
+    color: var(--danger-text-color, #c00);
+}
+
+/* Thinking message (collapsible) */
+.llm-chat-message-thinking {
+    background: var(--accented-background-color);
+    border: 1px dashed var(--main-border-color);
+    cursor: pointer;
+}
+
+.llm-chat-thinking-summary {
+    display: flex;
+    align-items: center;
+    gap: 0.5rem;
+    font-size: 0.85rem;
+    font-weight: 500;
+    color: var(--muted-text-color);
+    padding: 0.25rem 0;
+    list-style: none;
+}
+
+.llm-chat-thinking-summary::-webkit-details-marker {
+    display: none;
+}
+
+.llm-chat-thinking-summary::before {
+    content: "▶";
+    font-size: 0.7em;
+    transition: transform 0.2s ease;
+}
+
+.llm-chat-message-thinking[open] .llm-chat-thinking-summary::before {
+    transform: rotate(90deg);
+}
+
+.llm-chat-thinking-summary .bx {
+    font-size: 1rem;
+}
+
+.llm-chat-thinking-content {
+    margin-top: 0.5rem;
+    padding-top: 0.5rem;
+    border-top: 1px solid var(--main-border-color);
+    font-size: 0.9rem;
+    color: var(--muted-text-color);
+    white-space: pre-wrap;
+}
+
+/* Input form */
+.llm-chat-input-form {
+    display: flex;
+    flex-direction: column;
+    gap: 0.5rem;
+    padding-top: 1rem;
+    border-top: 1px solid var(--main-border-color);
+}
+
+.llm-chat-input-row {
+    display: flex;
+    gap: 0.5rem;
+    align-items: flex-end;
+}
+
+.llm-chat-input {
+    flex: 1;
+    min-height: 60px;
+    max-height: 200px;
+    resize: vertical;
+    padding: 0.75rem;
+    border: 1px solid var(--main-border-color);
+    border-radius: 8px;
+    font-family: inherit;
+    font-size: inherit;
+    background: var(--main-background-color);
+    color: var(--main-text-color);
+}
+
+.llm-chat-input:focus {
+    outline: none;
+    border-color: var(--main-selection-color);
+    box-shadow: 0 0 0 2px var(--main-selection-color-soft, rgba(0, 123, 255, 0.25));
+}
+
+.llm-chat-input:disabled {
+    opacity: 0.6;
+    cursor: not-allowed;
+}
+
+.llm-chat-send-btn {
+    padding: 0.75rem 1.5rem;
+    background: var(--button-background-color);
+    border: 1px solid var(--button-border-color);
+    border-radius: 8px;
+    cursor: pointer;
+    font-family: inherit;
+    font-size: inherit;
+    color: var(--button-text-color);
+    transition: background-color 0.15s ease;
+}
+
+.llm-chat-send-btn:hover:not(:disabled) {
+    background: var(--button-hover-background-color, var(--button-background-color));
+}
+
+.llm-chat-send-btn:disabled {
+    opacity: 0.5;
+    cursor: not-allowed;
+}
+
+/* Options row */
+.llm-chat-options {
+    display: flex;
+    gap: 1rem;
+    padding-left: 0.25rem;
+}
+
+.llm-chat-toggle {
+    display: flex;
+    align-items: center;
+    gap: 0.375rem;
+    font-size: 0.85rem;
+    color: var(--muted-text-color);
+    cursor: pointer;
+    user-select: none;
+}
+
+.llm-chat-toggle input[type="checkbox"] {
+    margin: 0;
+    cursor: pointer;
+}
+
+.llm-chat-toggle .bx {
+    font-size: 1rem;
+}
+
+.llm-chat-toggle:has(input:checked) {
+    color: var(--main-text-color);
+}
+
+.llm-chat-toggle:has(input:disabled) {
+    opacity: 0.5;
+    cursor: not-allowed;
+}
+
+/* Model selector */
+.llm-chat-model-selector {
+    display: flex;
+    align-items: center;
+    gap: 0.375rem;
+    font-size: 0.85rem;
+    color: var(--muted-text-color);
+}
+
+.llm-chat-model-selector .bx {
+    font-size: 1rem;
+}
+
+.llm-chat-model-selector .dropdown {
+    display: flex;
+}
+
+.llm-chat-model-select.select-button {
+    padding: 0.25rem 0.5rem;
+    border: 1px solid var(--main-border-color);
+    border-radius: 4px;
+    background: var(--main-background-color);
+    color: var(--main-text-color);
+    font-family: inherit;
+    font-size: 0.85rem;
+    cursor: pointer;
+    min-width: 140px;
+    text-align: left;
+}
+
+.llm-chat-model-select.select-button:focus {
+    outline: none;
+    border-color: var(--main-selection-color);
+}
+
+.llm-chat-model-select.select-button:disabled {
+    opacity: 0.5;
+    cursor: not-allowed;
+}
+
+/* Markdown styles */
+.llm-chat-markdown {
+    line-height: 1.6;
+}
+
+.llm-chat-markdown p {
+    margin: 0 0 0.75em 0;
+}
+
+.llm-chat-markdown p:last-child {
+    margin-bottom: 0;
+}
+
+.llm-chat-markdown h1,
+.llm-chat-markdown h2,
+.llm-chat-markdown h3,
+.llm-chat-markdown h4,
+.llm-chat-markdown h5,
+.llm-chat-markdown h6 {
+    margin: 1em 0 0.5em 0;
+    font-weight: 600;
+    line-height: 1.3;
+}
+
+.llm-chat-markdown h1:first-child,
+.llm-chat-markdown h2:first-child,
+.llm-chat-markdown h3:first-child {
+    margin-top: 0;
+}
+
+.llm-chat-markdown h1 { font-size: 1.4em; }
+.llm-chat-markdown h2 { font-size: 1.25em; }
+.llm-chat-markdown h3 { font-size: 1.1em; }
+
+.llm-chat-markdown ul,
+.llm-chat-markdown ol {
+    margin: 0.5em 0;
+    padding-left: 1.5em;
+}
+
+.llm-chat-markdown li {
+    margin: 0.25em 0;
+}
+
+.llm-chat-markdown code {
+    background: var(--accented-background-color);
+    padding: 0.15em 0.4em;
+    border-radius: 4px;
+    font-family: var(--monospace-font-family, monospace);
+    font-size: 0.9em;
+}
+
+.llm-chat-markdown pre {
+    background: var(--accented-background-color);
+    padding: 0.75em 1em;
+    border-radius: 6px;
+    overflow-x: auto;
+    margin: 0.75em 0;
+}
+
+.llm-chat-markdown pre code {
+    background: none;
+    padding: 0;
+    font-size: 0.85em;
+}
+
+.llm-chat-markdown blockquote {
+    margin: 0.75em 0;
+    padding: 0.5em 1em;
+    border-left: 3px solid var(--main-border-color);
+    background: var(--accented-background-color);
+}
+
+.llm-chat-markdown blockquote p {
+    margin: 0;
+}
+
+.llm-chat-markdown a {
+    color: var(--link-color, #007bff);
+    text-decoration: none;
+}
+
+.llm-chat-markdown a:hover {
+    text-decoration: underline;
+}
+
+.llm-chat-markdown hr {
+    border: none;
+    border-top: 1px solid var(--main-border-color);
+    margin: 1em 0;
+}
+
+.llm-chat-markdown table {
+    border-collapse: collapse;
+    width: 100%;
+    margin: 0.75em 0;
+}
+
+.llm-chat-markdown th,
+.llm-chat-markdown td {
+    border: 1px solid var(--main-border-color);
+    padding: 0.5em 0.75em;
+    text-align: left;
+}
+
+.llm-chat-markdown th {
+    background: var(--accented-background-color);
+    font-weight: 600;
+}
+
+.llm-chat-markdown strong {
+    font-weight: 600;
+}
+
+.llm-chat-markdown em {
+    font-style: italic;
+}
+
+/* Tool calls display */
+.llm-chat-tool-calls {
+    margin-top: 0.75rem;
+    padding-top: 0.75rem;
+    border-top: 1px solid var(--main-border-color);
+}
+
+.llm-chat-tool-calls-summary {
+    display: flex;
+    align-items: center;
+    gap: 0.5rem;
+    font-size: 0.85rem;
+    font-weight: 500;
+    color: var(--muted-text-color);
+    padding: 0.25rem 0;
+    cursor: pointer;
+    list-style: none;
+}
+
+.llm-chat-tool-calls-summary::-webkit-details-marker {
+    display: none;
+}
+
+.llm-chat-tool-calls-summary::before {
+    content: "▶";
+    font-size: 0.7em;
+    transition: transform 0.2s ease;
+}
+
+.llm-chat-tool-calls[open] .llm-chat-tool-calls-summary::before {
+    transform: rotate(90deg);
+}
+
+.llm-chat-tool-calls-summary .bx {
+    font-size: 1rem;
+}
+
+.llm-chat-tool-calls-list {
+    margin-top: 0.5rem;
+    display: flex;
+    flex-direction: column;
+    gap: 0.75rem;
+}
+
+.llm-chat-tool-call {
+    background: var(--accented-background-color);
+    border-radius: 6px;
+    padding: 0.75rem;
+    font-size: 0.85rem;
+}
+
+.llm-chat-tool-call-name {
+    font-weight: 600;
+    margin-bottom: 0.5rem;
+    color: var(--main-text-color);
+    font-family: var(--monospace-font-family, monospace);
+}
+
+.llm-chat-tool-call-input,
+.llm-chat-tool-call-result {
+    margin-top: 0.5rem;
+}
+
+.llm-chat-tool-call-input strong,
+.llm-chat-tool-call-result strong {
+    display: block;
+    font-size: 0.75rem;
+    color: var(--muted-text-color);
+    margin-bottom: 0.25rem;
+}
+
+.llm-chat-tool-call pre {
+    margin: 0;
+    padding: 0.5rem;
+    background: var(--main-background-color);
+    border-radius: 4px;
+    overflow-x: auto;
+    font-size: 0.8rem;
+    font-family: var(--monospace-font-family, monospace);
+    max-height: 200px;
+    overflow-y: auto;
+}
+
+/* Token usage display */
+.llm-chat-usage {
+    display: flex;
+    align-items: center;
+    gap: 0.375rem;
+    margin-top: 0.75rem;
+    padding-top: 0.5rem;
+    border-top: 1px solid var(--main-border-color);
+    font-size: 0.75rem;
+    color: var(--muted-text-color);
+}
+
+.llm-chat-usage .bx {
+    font-size: 0.875rem;
+}
+
+.llm-chat-usage-text {
+    font-family: var(--monospace-font-family, monospace);
+}
+
+/* Context window pie indicator */
+.llm-chat-context-pie {
+    width: 16px;
+    height: 16px;
+    border-radius: 50%;
+    margin-left: auto;
+    cursor: help;
+    flex-shrink: 0;
+}

apps/client/src/widgets/type_widgets/llm_chat/LlmChat.tsx

@@ -0,0 +1,470 @@
+import type { LlmCitation, LlmMessage, LlmModelInfo, LlmUsage } from "@triliumnext/commons";
+import { useCallback, useEffect, useRef, useState } from "preact/hooks";
+import { t } from "../../../services/i18n.js";
+import { getAvailableModels, streamChatCompletion } from "../../../services/llm_chat.js";
+import { randomString } from "../../../services/utils.js";
+import { useEditorSpacedUpdate } from "../../react/hooks.js";
+import FormDropdownList from "../../react/FormDropdownList.js";
+import { TypeWidgetProps } from "../type_widget.js";
+import ChatMessage from "./ChatMessage.js";
+import "./LlmChat.css";
+
+type MessageType = "message" | "error" | "thinking";
+
+interface ToolCall {
+    id: string;
+    toolName: string;
+    input: Record<string, unknown>;
+    result?: string;
+}
+
+interface StoredMessage {
+    id: string;
+    role: "user" | "assistant" | "system";
+    content: string;
+    createdAt: string;
+    citations?: LlmCitation[];
+    /** Message type for special rendering. Defaults to "message" if omitted. */
+    type?: MessageType;
+    /** Tool calls made during this response */
+    toolCalls?: ToolCall[];
+    /** Token usage for this response */
+    usage?: LlmUsage;
+}
+
+interface LlmChatContent {
+    version: 1;
+    messages: StoredMessage[];
+    selectedModel?: string;
+    enableWebSearch?: boolean;
+    enableNoteTools?: boolean;
+    enableExtendedThinking?: boolean;
+}
+
+/** Extended model info with cost description for dropdown display */
+interface ModelOption extends LlmModelInfo {
+    costDescription?: string;
+}
+
+/** Format token count with thousands separators */
+function formatTokenCount(tokens: number): string {
+    return tokens.toLocaleString();
+}
+
+export default function LlmChat({ note, ntxId, noteContext }: TypeWidgetProps) {
+    const [messages, setMessages] = useState<StoredMessage[]>([]);
+    const [input, setInput] = useState("");
+    const [isStreaming, setIsStreaming] = useState(false);
+    const [streamingContent, setStreamingContent] = useState("");
+    const [streamingThinking, setStreamingThinking] = useState("");
+    const [toolActivity, setToolActivity] = useState<string | null>(null);
+    const [pendingCitations, setPendingCitations] = useState<LlmCitation[]>([]);
+    const [availableModels, setAvailableModels] = useState<ModelOption[]>([]);
+    const [selectedModel, setSelectedModel] = useState<string>("");
+    const [enableWebSearch, setEnableWebSearch] = useState(true);
+    const [enableNoteTools, setEnableNoteTools] = useState(false);
+    const [enableExtendedThinking, setEnableExtendedThinking] = useState(false);
+    const [error, setError] = useState<string | null>(null);
+    const [shouldSave, setShouldSave] = useState(false);
+    const [lastPromptTokens, setLastPromptTokens] = useState<number>(0);
+    const messagesEndRef = useRef<HTMLDivElement>(null);
+    const textareaRef = useRef<HTMLTextAreaElement>(null);
+
+    // Fetch available models on mount
+    useEffect(() => {
+        getAvailableModels().then(models => {
+            // Add cost description for display
+            const modelsWithDescription = models.map(m => ({
+                ...m,
+                costDescription: m.costMultiplier
+                    ? `${m.costMultiplier}x cost`
+                    : undefined
+            }));
+            setAvailableModels(modelsWithDescription);
+            // Set default model if not already selected
+            if (!selectedModel) {
+                const defaultModel = models.find(m => m.isDefault) || models[0];
+                if (defaultModel) {
+                    setSelectedModel(defaultModel.id);
+                }
+            }
+        }).catch(err => {
+            console.error("Failed to fetch available models:", err);
+        });
+    }, []);
+
+    const scrollToBottom = useCallback(() => {
+        messagesEndRef.current?.scrollIntoView({ behavior: "smooth" });
+    }, []);
+
+    useEffect(() => {
+        scrollToBottom();
+    }, [messages, streamingContent, streamingThinking, toolActivity, scrollToBottom]);
+
+    // Use a ref to store the latest messages for getData
+    const messagesRef = useRef(messages);
+    messagesRef.current = messages;
+
+    const enableWebSearchRef = useRef(enableWebSearch);
+    enableWebSearchRef.current = enableWebSearch;
+
+    const enableNoteToolsRef = useRef(enableNoteTools);
+    enableNoteToolsRef.current = enableNoteTools;
+
+    const enableExtendedThinkingRef = useRef(enableExtendedThinking);
+    enableExtendedThinkingRef.current = enableExtendedThinking;
+
+    const selectedModelRef = useRef(selectedModel);
+    selectedModelRef.current = selectedModel;
+
+    const spacedUpdate = useEditorSpacedUpdate({
+        note,
+        noteType: "llmChat",
+        noteContext,
+        getData: () => {
+            // Use refs to get the latest values, avoiding stale closure issues
+            const content: LlmChatContent = {
+                version: 1,
+                messages: messagesRef.current,
+                selectedModel: selectedModelRef.current || undefined,
+                enableWebSearch: enableWebSearchRef.current,
+                enableNoteTools: enableNoteToolsRef.current,
+                enableExtendedThinking: enableExtendedThinkingRef.current
+            };
+            return { content: JSON.stringify(content) };
+        },
+        onContentChange: (content) => {
+            if (!content) {
+                setMessages([]);
+                return;
+            }
+            try {
+                const parsed: LlmChatContent = JSON.parse(content);
+                setMessages(parsed.messages || []);
+                if (parsed.selectedModel) {
+                    setSelectedModel(parsed.selectedModel);
+                }
+                if (typeof parsed.enableWebSearch === "boolean") {
+                    setEnableWebSearch(parsed.enableWebSearch);
+                }
+                if (typeof parsed.enableNoteTools === "boolean") {
+                    setEnableNoteTools(parsed.enableNoteTools);
+                }
+                if (typeof parsed.enableExtendedThinking === "boolean") {
+                    setEnableExtendedThinking(parsed.enableExtendedThinking);
+                }
+                // Restore last prompt tokens from the most recent message with usage
+                const lastUsage = [...(parsed.messages || [])].reverse().find(m => m.usage)?.usage;
+                if (lastUsage) {
+                    setLastPromptTokens(lastUsage.promptTokens);
+                }
+            } catch (e) {
+                console.error("Failed to parse LLM chat content:", e);
+                setMessages([]);
+            }
+        }
+    });
+
+    // Trigger save after state updates when shouldSave is set
+    useEffect(() => {
+        if (shouldSave) {
+            setShouldSave(false);
+            spacedUpdate.scheduleUpdate();
+        }
+    }, [shouldSave, spacedUpdate]);
+
+    const handleSubmit = useCallback(async (e: Event) => {
+        e.preventDefault();
+        if (!input.trim() || isStreaming) return;
+
+        setError(null);
+        setToolActivity(null);
+        setPendingCitations([]);
+
+        const userMessage: StoredMessage = {
+            id: randomString(),
+            role: "user",
+            content: input.trim(),
+            createdAt: new Date().toISOString()
+        };
+
+        const newMessages = [...messages, userMessage];
+        setMessages(newMessages);
+        setInput("");
+        setIsStreaming(true);
+        setStreamingContent("");
+        setStreamingThinking("");
+
+        let assistantContent = "";
+        let thinkingContent = "";
+        const citations: LlmCitation[] = [];
+        const toolCalls: ToolCall[] = [];
+        let usage: LlmUsage | undefined;
+
+        const apiMessages: LlmMessage[] = newMessages.map(m => ({
+            role: m.role,
+            content: m.content
+        }));
+
+        await streamChatCompletion(
+            apiMessages,
+            { model: selectedModel || undefined, enableWebSearch, enableNoteTools, enableExtendedThinking },
+            {
+                onChunk: (text) => {
+                    assistantContent += text;
+                    setStreamingContent(assistantContent);
+                    setToolActivity(null); // Clear tool activity when text starts
+                },
+                onThinking: (text) => {
+                    thinkingContent += text;
+                    setStreamingThinking(thinkingContent);
+                    setToolActivity(t("llm_chat.thinking"));
+                },
+                onToolUse: (toolName, toolInput) => {
+                    const toolLabel = toolName === "web_search"
+                        ? t("llm_chat.searching_web")
+                        : `Using ${toolName}...`;
+                    setToolActivity(toolLabel);
+                    // Track the tool call
+                    toolCalls.push({
+                        id: randomString(),
+                        toolName,
+                        input: toolInput
+                    });
+                },
+                onToolResult: (toolName, result) => {
+                    // Find the most recent tool call with this name and add the result
+                    const toolCall = [...toolCalls].reverse().find(tc => tc.toolName === toolName && !tc.result);
+                    if (toolCall) {
+                        toolCall.result = result;
+                    }
+                },
+                onCitation: (citation) => {
+                    citations.push(citation);
+                    setPendingCitations([...citations]);
+                },
+                onUsage: (u) => {
+                    usage = u;
+                    setLastPromptTokens(u.promptTokens);
+                },
+                onError: (errorMsg) => {
+                    console.error("Chat error:", errorMsg);
+                    // Persist error as an assistant message
+                    const errorMessage: StoredMessage = {
+                        id: randomString(),
+                        role: "assistant",
+                        content: errorMsg,
+                        createdAt: new Date().toISOString(),
+                        type: "error"
+                    };
+                    setMessages(prev => [...prev, errorMessage]);
+                    setStreamingContent("");
+                    setStreamingThinking("");
+                    setIsStreaming(false);
+                    setToolActivity(null);
+                    setShouldSave(true);
+                },
+                onDone: () => {
+                    const newMessages: StoredMessage[] = [];
+
+                    // Save thinking as a separate message if present
+                    if (thinkingContent) {
+                        newMessages.push({
+                            id: randomString(),
+                            role: "assistant",
+                            content: thinkingContent,
+                            createdAt: new Date().toISOString(),
+                            type: "thinking"
+                        });
+                    }
+
+                    if (assistantContent || toolCalls.length > 0) {
+                        newMessages.push({
+                            id: randomString(),
+                            role: "assistant",
+                            content: assistantContent,
+                            createdAt: new Date().toISOString(),
+                            citations: citations.length > 0 ? citations : undefined,
+                            toolCalls: toolCalls.length > 0 ? toolCalls : undefined,
+                            usage
+                        });
+                    }
+
+                    if (newMessages.length > 0) {
+                        setMessages(prev => [...prev, ...newMessages]);
+                    }
+
+                    setStreamingContent("");
+                    setStreamingThinking("");
+                    setPendingCitations([]);
+                    setIsStreaming(false);
+                    setToolActivity(null);
+                    // Trigger save after state updates via useEffect
+                    setShouldSave(true);
+                }
+            }
+        );
+    }, [input, isStreaming, messages, selectedModel, enableWebSearch, enableNoteTools, enableExtendedThinking]);
+
+    const handleKeyDown = useCallback((e: KeyboardEvent) => {
+        if (e.key === "Enter" && !e.shiftKey) {
+            e.preventDefault();
+            handleSubmit(e);
+        }
+    }, [handleSubmit]);
+
+    const toggleWebSearch = useCallback(() => {
+        setEnableWebSearch(prev => !prev);
+        setShouldSave(true);
+    }, []);
+
+    const toggleNoteTools = useCallback(() => {
+        setEnableNoteTools(prev => !prev);
+        setShouldSave(true);
+    }, []);
+
+    const toggleExtendedThinking = useCallback(() => {
+        setEnableExtendedThinking(prev => !prev);
+        setShouldSave(true);
+    }, []);
+
+    const handleModelChange = useCallback((newModel: string) => {
+        setSelectedModel(newModel);
+        setShouldSave(true);
+    }, []);
+
+    return (
+        <div className="llm-chat-container">
+            <div className="llm-chat-messages">
+                {messages.length === 0 && !isStreaming && (
+                    <div className="llm-chat-empty">
+                        {t("llm_chat.empty_state")}
+                    </div>
+                )}
+                {messages.map(msg => (
+                    <ChatMessage key={msg.id} message={msg} />
+                ))}
+                {toolActivity && !streamingThinking && (
+                    <div className="llm-chat-tool-activity">
+                        <span className="llm-chat-tool-spinner" />
+                        {toolActivity}
+                    </div>
+                )}
+                {isStreaming && streamingThinking && (
+                    <ChatMessage
+                        message={{
+                            id: "streaming-thinking",
+                            role: "assistant",
+                            content: streamingThinking,
+                            createdAt: new Date().toISOString(),
+                            type: "thinking"
+                        }}
+                        isStreaming
+                    />
+                )}
+                {isStreaming && streamingContent && (
+                    <ChatMessage
+                        message={{
+                            id: "streaming",
+                            role: "assistant",
+                            content: streamingContent,
+                            createdAt: new Date().toISOString(),
+                            citations: pendingCitations.length > 0 ? pendingCitations : undefined
+                        }}
+                        isStreaming
+                    />
+                )}
+                {error && (
+                    <div className="llm-chat-error">
+                        {error}
+                    </div>
+                )}
+                <div ref={messagesEndRef} />
+            </div>
+            <form className="llm-chat-input-form" onSubmit={handleSubmit}>
+                <div className="llm-chat-input-row">
+                    <textarea
+                        ref={textareaRef}
+                        className="llm-chat-input"
+                        value={input}
+                        onInput={(e) => setInput((e.target as HTMLTextAreaElement).value)}
+                        placeholder={t("llm_chat.placeholder")}
+                        disabled={isStreaming}
+                        onKeyDown={handleKeyDown}
+                        rows={3}
+                    />
+                    <button
+                        type="submit"
+                        className="llm-chat-send-btn"
+                        disabled={isStreaming || !input.trim()}
+                    >
+                        {isStreaming ? t("llm_chat.sending") : t("llm_chat.send")}
+                    </button>
+                </div>
+                <div className="llm-chat-options">
+                    <div className="llm-chat-model-selector">
+                        <span className="bx bx-chip" />
+                        <FormDropdownList
+                            values={availableModels}
+                            keyProperty="id"
+                            titleProperty="name"
+                            descriptionProperty="costDescription"
+                            currentValue={selectedModel}
+                            onChange={handleModelChange}
+                            disabled={isStreaming}
+                            buttonClassName="llm-chat-model-select"
+                        />
+                    </div>
+                    <label className="llm-chat-toggle">
+                        <input
+                            type="checkbox"
+                            checked={enableWebSearch}
+                            onChange={toggleWebSearch}
+                            disabled={isStreaming}
+                        />
+                        <span className="bx bx-globe" />
+                        {t("llm_chat.web_search")}
+                    </label>
+                    <label className="llm-chat-toggle">
+                        <input
+                            type="checkbox"
+                            checked={enableNoteTools}
+                            onChange={toggleNoteTools}
+                            disabled={isStreaming}
+                        />
+                        <span className="bx bx-note" />
+                        {t("llm_chat.note_tools")}
+                    </label>
+                    <label className="llm-chat-toggle">
+                        <input
+                            type="checkbox"
+                            checked={enableExtendedThinking}
+                            onChange={toggleExtendedThinking}
+                            disabled={isStreaming}
+                        />
+                        <span className="bx bx-brain" />
+                        {t("llm_chat.extended_thinking")}
+                    </label>
+                    {lastPromptTokens > 0 && (() => {
+                        const currentModel = availableModels.find(m => m.id === selectedModel);
+                        const contextWindow = currentModel?.contextWindow || 200000;
+                        const percentage = Math.min((lastPromptTokens / contextWindow) * 100, 100);
+                        const isWarning = percentage > 75;
+                        const isCritical = percentage > 90;
+                        const color = isCritical ? "var(--danger-color, #d9534f)" : isWarning ? "var(--warning-color, #f0ad4e)" : "var(--main-selection-color, #007bff)";
+
+                        return (
+                            <div
+                                className="llm-chat-context-pie"
+                                title={`${formatTokenCount(lastPromptTokens)} / ${formatTokenCount(contextWindow)} ${t("llm_chat.tokens")} (${percentage.toFixed(0)}%)`}
+                                style={{
+                                    background: `conic-gradient(${color} ${percentage}%, var(--accented-background-color) ${percentage}%)`
+                                }}
+                            />
+                        );
+                    })()}
+                </div>
+            </form>
+        </div>
+    );
+}

apps/db-compare/package.json

@@ -5,7 +5,7 @@
   "description": "Tool to compare content of Trilium databases. Useful for debugging sync problems.",
   "dependencies": {
     "colors": "1.4.0",
-    "diff": "8.0.3",
+    "diff": "8.0.4",
     "sqlite": "5.1.1",
     "sqlite3": "6.0.1"
   },

apps/desktop/package.json

@@ -35,7 +35,7 @@
     "@triliumnext/commons": "workspace:*",
     "@triliumnext/server": "workspace:*",
     "copy-webpack-plugin": "14.0.0",
-    "electron": "41.0.3",
+    "electron": "41.1.0",
     "@electron-forge/cli": "7.11.1",
     "@electron-forge/maker-deb": "7.11.1",
     "@electron-forge/maker-dmg": "7.11.1",

apps/edit-docs/package.json

@@ -12,7 +12,7 @@
     "@triliumnext/desktop": "workspace:*",
     "@types/fs-extra": "11.0.4",
     "copy-webpack-plugin": "14.0.0",
-    "electron": "41.0.3",
+    "electron": "41.1.0",
     "fs-extra": "11.3.4"
   },
   "scripts": {

apps/server/Dockerfile

@@ -1,4 +1,4 @@
-FROM node:24.14.0-bullseye-slim AS builder
+FROM node:24.14.1-bullseye-slim AS builder
 RUN corepack enable
 
 # Install native dependencies since we might be building cross-platform.
@@ -7,7 +7,7 @@ COPY ./docker/package.json ./docker/pnpm-workspace.yaml /usr/src/app/
 # We have to use --no-frozen-lockfile due to CKEditor patches
 RUN pnpm install --no-frozen-lockfile --prod && pnpm rebuild
 
-FROM node:24.14.0-bullseye-slim
+FROM node:24.14.1-bullseye-slim
 # Install only runtime dependencies
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \

apps/server/Dockerfile.alpine

@@ -1,4 +1,4 @@
-FROM node:24.14.0-alpine AS builder
+FROM node:24.14.1-alpine AS builder
 RUN corepack enable
 
 # Install native dependencies since we might be building cross-platform.
@@ -7,7 +7,7 @@ COPY ./docker/package.json ./docker/pnpm-workspace.yaml /usr/src/app/
 # We have to use --no-frozen-lockfile due to CKEditor patches
 RUN pnpm install --no-frozen-lockfile --prod && pnpm rebuild
 
-FROM node:24.14.0-alpine
+FROM node:24.14.1-alpine
 # Install runtime dependencies
 RUN apk add --no-cache su-exec shadow
 

apps/server/Dockerfile.alpine.rootless

@@ -1,4 +1,4 @@
-FROM node:24.14.0-alpine AS builder
+FROM node:24.14.1-alpine AS builder
 RUN corepack enable
 
 # Install native dependencies since we might be building cross-platform.
@@ -7,7 +7,7 @@ COPY ./docker/package.json ./docker/pnpm-workspace.yaml /usr/src/app/
 # We have to use --no-frozen-lockfile due to CKEditor patches
 RUN pnpm install --no-frozen-lockfile --prod && pnpm rebuild
 
-FROM node:24.14.0-alpine
+FROM node:24.14.1-alpine
 # Create a non-root user with configurable UID/GID
 ARG USER=trilium
 ARG UID=1001

apps/server/Dockerfile.rootless

@@ -1,4 +1,4 @@
-FROM node:24.14.0-bullseye-slim AS builder
+FROM node:24.14.1-bullseye-slim AS builder
 RUN corepack enable
 
 # Install native dependencies since we might be building cross-platform.
@@ -7,7 +7,7 @@ COPY ./docker/package.json ./docker/pnpm-workspace.yaml /usr/src/app/
 # We have to use --no-frozen-lockfile due to CKEditor patches
 RUN pnpm install --no-frozen-lockfile --prod && pnpm rebuild
 
-FROM node:24.14.0-bullseye-slim
+FROM node:24.14.1-bullseye-slim
 # Create a non-root user with configurable UID/GID
 ARG USER=trilium
 ARG UID=1001

apps/server/package.json

@@ -30,6 +30,8 @@
     "proxy-nginx-subdir": "docker run --name trilium-nginx-subdir --rm --network=host -v ./docker/nginx.conf:/etc/nginx/conf.d/default.conf:ro nginx:latest"
   },
   "dependencies": {
+    "@ai-sdk/anthropic": "^2.0.0",
+    "ai": "^5.0.0",
     "better-sqlite3": "12.8.0",
     "html-to-text": "9.0.5",
     "node-html-parser": "7.1.0",
@@ -70,7 +72,7 @@
     "@types/xml2js": "0.4.14",
     "archiver": "7.0.1",
     "async-mutex": "0.5.0",
-    "axios": "1.13.6",
+    "axios": "1.14.0",
     "bindings": "1.5.0",
     "bootstrap": "5.3.8",
     "chardet": "2.1.1",
@@ -83,13 +85,13 @@
     "debounce": "3.0.0",
     "debug": "4.4.3",
     "ejs": "5.0.1",
-    "electron": "41.0.3",
+    "electron": "41.1.0",
     "electron-debug": "4.1.0",
     "electron-window-state": "5.0.3",
     "escape-html": "1.0.3",
     "express": "5.2.1",
     "express-http-proxy": "2.1.2",
-    "express-openid-connect": "2.19.4",
+    "express-openid-connect": "2.20.1",
     "express-rate-limit": "8.3.1",
     "express-session": "1.19.0",
     "file-uri-to-path": "2.0.0",
@@ -99,9 +101,9 @@
     "html2plaintext": "2.1.4",
     "http-proxy-agent": "8.0.0",
     "https-proxy-agent": "8.0.0",
-    "i18next": "25.10.3",
+    "i18next": "25.10.10",
     "i18next-fs-backend": "2.6.1",
-    "image-type": "6.0.0",
+    "image-type": "6.1.0",
     "ini": "6.0.0",
     "is-animated": "2.0.2",
     "is-svg": "6.1.0",
@@ -126,7 +128,7 @@
     "tmp": "0.2.5",
     "turnish": "1.8.0",
     "unescape": "1.0.1",
-    "vite": "8.0.1",
+    "vite": "8.0.3",
     "ws": "8.20.0",
     "xml2js": "0.6.2",
     "yauzl": "3.2.1"

apps/server/src/app.ts

@@ -55,7 +55,16 @@ export default async function buildApp() {
     });
 
     if (!utils.isElectron) {
-        app.use(compression()); // HTTP compression
+        app.use(compression({
+            // Skip compression for SSE endpoints to enable real-time streaming
+            filter: (req, res) => {
+                // Skip compression for LLM chat streaming endpoint
+                if (req.path === "/api/llm-chat/stream") {
+                    return false;
+                }
+                return compression.filter(req, res);
+            }
+        }));
     }
 
     let resourcePolicy = config["Network"]["corsResourcePolicy"] as 'same-origin' | 'same-site' | 'cross-origin' | undefined;

apps/server/src/assets/translations/pl/server.json

@@ -14,7 +14,7 @@
     "creating-and-moving-notes": "Tworzenie i przenoszenie notatek",
     "create-note-after": "Utwórz notatkę po aktywnej notatce",
     "create-note-into": "Utwórz notatkę jako podrzędną aktywnej notatki",
-    "create-note-into-inbox": "Utwórz notatkę w skrzynce odbiorczej (jeśli zdefiniowana) lub notatkę dnia",
+    "create-note-into-inbox": "Utwórz notatkę w skrzynce odbiorczej (jeśli zdefiniowano) lub w notatce dziennej",
     "delete-note": "Usuń notatkę",
     "move-note-up": "Przenieś notatkę w górę",
     "move-note-down": "Przenieś notatkę w dół",
@@ -59,7 +59,7 @@
     "show-backend-log": "Otwórz stronę \"Logi backendu\"",
     "show-help": "Otwórz wbudowany Poradnik Użytkownika",
     "show-cheatsheet": "Pokaż listę skrótów klawiszowych",
-    "text-note-operations": "Operacje na notatkach tekstowych",
+    "text-note-operations": "Operacje na notatkach",
     "add-link-to-text": "Otwórz okno dodawania linku do tekstu",
     "follow-link-under-cursor": "Podążaj za linkiem pod kursorem",
     "insert-date-and-time-to-text": "Wstaw aktualną datę i czas",

apps/server/src/express.d.ts

@@ -17,6 +17,11 @@ export declare module "express-serve-static-core" {
             "user-agent"?: string;
         };
     }
+
+    interface Response {
+        /** Set to true to prevent apiResultHandler from double-handling the response (e.g., for SSE streams) */
+        triliumResponseHandled?: boolean;
+    }
 }
 
 export declare module "express-session" {

apps/server/src/routes/api/llm_chat.ts

@@ -0,0 +1,86 @@
+import type { Request, Response } from "express";
+import type { LlmMessage } from "@triliumnext/commons";
+
+import { getProvider, type LlmProviderConfig } from "../../services/llm/index.js";
+import { streamToChunks } from "../../services/llm/stream.js";
+
+interface ChatRequest {
+    messages: LlmMessage[];
+    config?: LlmProviderConfig;
+}
+
+/**
+ * SSE endpoint for streaming chat completions.
+ *
+ * Response format (Server-Sent Events):
+ * data: {"type":"text","content":"Hello"}
+ * data: {"type":"text","content":" world"}
+ * data: {"type":"done"}
+ *
+ * On error:
+ * data: {"type":"error","error":"Error message"}
+ */
+async function streamChat(req: Request, res: Response) {
+    const { messages, config = {} } = req.body as ChatRequest;
+
+    if (!messages || !Array.isArray(messages) || messages.length === 0) {
+        res.status(400).json({ error: "messages array is required" });
+        return;
+    }
+
+    // Set up SSE headers - disable compression and buffering for real-time streaming
+    res.setHeader("Content-Type", "text/event-stream");
+    res.setHeader("Cache-Control", "no-cache, no-transform");
+    res.setHeader("Connection", "keep-alive");
+    res.setHeader("X-Accel-Buffering", "no"); // Disable nginx buffering
+    res.setHeader("Content-Encoding", "none"); // Disable compression
+    res.flushHeaders();
+
+    // Mark response as handled to prevent double-handling by apiResultHandler
+    res.triliumResponseHandled = true;
+
+    // Type assertion for flush method (available when compression is used)
+    const flushableRes = res as Response & { flush?: () => void };
+
+    try {
+        const provider = getProvider(config.provider || "anthropic");
+        const result = provider.chat(messages, config);
+
+        // Get pricing from provider for cost calculation
+        const model = config.model || "claude-sonnet-4-20250514";
+        const pricing = provider.getModelPricing(model);
+        for await (const chunk of streamToChunks(result, { model, pricing })) {
+            res.write(`data: ${JSON.stringify(chunk)}\n\n`);
+            // Flush immediately to ensure real-time streaming
+            if (typeof flushableRes.flush === "function") {
+                flushableRes.flush();
+            }
+        }
+    } catch (error) {
+        const errorMessage = error instanceof Error ? error.message : "Unknown error";
+        res.write(`data: ${JSON.stringify({ type: "error", error: errorMessage })}\n\n`);
+    } finally {
+        res.end();
+    }
+}
+
+/**
+ * Get available models for a provider.
+ */
+function getModels(req: Request, res: Response) {
+    const provider = req.query.provider as string || "anthropic";
+
+    try {
+        const llmProvider = getProvider(provider);
+        const models = llmProvider.getAvailableModels();
+        res.json({ models });
+    } catch (error) {
+        const errorMessage = error instanceof Error ? error.message : "Unknown error";
+        res.status(400).json({ error: errorMessage });
+    }
+}
+
+export default {
+    streamChat,
+    getModels
+};

apps/server/src/routes/route_api.ts

@@ -145,7 +145,7 @@ function internalRoute<P extends ParamsDictionary>(method: HttpMethod, path: str
 
 function handleResponse(resultHandler: ApiResultHandler, req: express.Request, res: express.Response, result: unknown, start: number) {
     // Skip result handling if the response has already been handled
-    if ((res as any).triliumResponseHandled) {
+    if (res.triliumResponseHandled) {
         // Just log the request without additional processing
         log.request(req, res, Date.now() - start, 0);
         return;
@@ -161,7 +161,7 @@ function handleException(e: unknown | Error, method: HttpMethod, path: string, r
     log.error(`${method} ${path} threw exception: '${errMessage}', stack: ${errStack}`);
 
     // Skip sending response if it's already been handled by the route handler
-    if ((res as unknown as { triliumResponseHandled?: boolean }).triliumResponseHandled || res.headersSent) {
+    if (res.triliumResponseHandled || res.headersSent) {
         return;
     }
 

apps/server/src/routes/routes.ts

@@ -34,6 +34,7 @@ import fontsRoute from "./api/fonts.js";
 import imageRoute from "./api/image.js";
 import importRoute from "./api/import.js";
 import keysRoute from "./api/keys.js";
+import llmChatRoute from "./api/llm_chat.js";
 import loginApiRoute from "./api/login.js";
 import metricsRoute from "./api/metrics.js";
 import noteMapRoute from "./api/note_map.js";
@@ -323,6 +324,10 @@ function register(app: express.Application) {
     apiRoute(PST, "/api/script/bundle/:noteId", scriptRoute.getBundle);
     apiRoute(GET, "/api/script/relation/:noteId/:relationName", scriptRoute.getRelationBundles);
 
+    // LLM chat endpoints
+    asyncRoute(PST, "/api/llm-chat/stream", [auth.checkApiAuth, csrfMiddleware], llmChatRoute.streamChat, null);
+    apiRoute(GET, "/api/llm-chat/models", llmChatRoute.getModels);
+
     // no CSRF since this is called from android app
     route(PST, "/api/sender/login", [loginRateLimiter], loginApiRoute.token, apiResultHandler);
     asyncRoute(PST, "/api/sender/image", [auth.checkEtapiToken, uploadMiddlewareWithErrorHandling], senderRoute.uploadImage, apiResultHandler);

apps/server/src/services/llm/index.ts

@@ -0,0 +1,26 @@
+import type { LlmProvider } from "./types.js";
+import { AnthropicProvider } from "./providers/anthropic.js";
+
+const providers: Record<string, () => LlmProvider> = {
+    anthropic: () => new AnthropicProvider()
+    // Future providers can be added here
+};
+
+let cachedProviders: Record<string, LlmProvider> = {};
+
+export function getProvider(name: string = "anthropic"): LlmProvider {
+    if (!cachedProviders[name]) {
+        const factory = providers[name];
+        if (!factory) {
+            throw new Error(`Unknown LLM provider: ${name}. Available: ${Object.keys(providers).join(", ")}`);
+        }
+        cachedProviders[name] = factory();
+    }
+    return cachedProviders[name];
+}
+
+export function clearProviderCache(): void {
+    cachedProviders = {};
+}
+
+export type { LlmProvider, LlmProviderConfig, ModelInfo, ModelPricing } from "./types.js";

apps/server/src/services/llm/providers/anthropic.ts

@@ -0,0 +1,173 @@
+import { anthropic } from "@ai-sdk/anthropic";
+import { streamText, stepCountIs, type CoreMessage } from "ai";
+import type { LlmMessage } from "@triliumnext/commons";
+
+import { noteTools } from "../tools.js";
+import type { LlmProvider, LlmProviderConfig, ModelInfo, ModelPricing, StreamResult } from "../types.js";
+
+const DEFAULT_MODEL = "claude-sonnet-4-6";
+const DEFAULT_MAX_TOKENS = 8096;
+
+/**
+ * Calculate effective cost for comparison (weighted average: 1 input + 3 output).
+ * Output is weighted more heavily as it's typically the dominant cost factor.
+ */
+function effectiveCost(pricing: ModelPricing): number {
+    return (pricing.input + 3 * pricing.output) / 4;
+}
+
+/**
+ * Available Anthropic models with pricing (USD per million tokens).
+ * Source: https://docs.anthropic.com/en/docs/about-claude/models
+ */
+const BASE_MODELS: Omit<ModelInfo, "costMultiplier">[] = [
+    // ===== Current Models =====
+    {
+        id: "claude-sonnet-4-6",
+        name: "Claude Sonnet 4.6",
+        pricing: { input: 3, output: 15 },
+        contextWindow: 1000000,
+        isDefault: true
+    },
+    {
+        id: "claude-opus-4-6",
+        name: "Claude Opus 4.6",
+        pricing: { input: 5, output: 25 },
+        contextWindow: 1000000
+    },
+    {
+        id: "claude-haiku-4-5-20251001",
+        name: "Claude Haiku 4.5",
+        pricing: { input: 1, output: 5 },
+        contextWindow: 200000
+    },
+    // ===== Legacy Models =====
+    {
+        id: "claude-sonnet-4-5-20250929",
+        name: "Claude Sonnet 4.5",
+        pricing: { input: 3, output: 15 },
+        contextWindow: 200000 // 1M available with beta header
+    },
+    {
+        id: "claude-opus-4-5-20251101",
+        name: "Claude Opus 4.5",
+        pricing: { input: 5, output: 25 },
+        contextWindow: 200000
+    },
+    {
+        id: "claude-opus-4-1-20250805",
+        name: "Claude Opus 4.1",
+        pricing: { input: 15, output: 75 },
+        contextWindow: 200000
+    },
+    {
+        id: "claude-sonnet-4-20250514",
+        name: "Claude Sonnet 4.0",
+        pricing: { input: 3, output: 15 },
+        contextWindow: 200000 // 1M available with beta header
+    },
+    {
+        id: "claude-opus-4-20250514",
+        name: "Claude Opus 4.0",
+        pricing: { input: 15, output: 75 },
+        contextWindow: 200000
+    }
+];
+
+// Use default model (Sonnet) as baseline for cost multiplier
+const baselineModel = BASE_MODELS.find(m => m.isDefault) || BASE_MODELS[0];
+const baselineCost = effectiveCost(baselineModel.pricing);
+
+// Build models with cost multipliers
+const AVAILABLE_MODELS: ModelInfo[] = BASE_MODELS.map(m => ({
+    ...m,
+    costMultiplier: Math.round((effectiveCost(m.pricing) / baselineCost) * 10) / 10
+}));
+
+// Build pricing lookup from available models
+const MODEL_PRICING: Record<string, ModelPricing> = Object.fromEntries(
+    AVAILABLE_MODELS.map(m => [m.id, m.pricing])
+);
+
+export class AnthropicProvider implements LlmProvider {
+    name = "anthropic";
+
+    constructor() {
+        const apiKey = process.env.ANTHROPIC_API_KEY;
+        if (!apiKey) {
+            throw new Error("ANTHROPIC_API_KEY environment variable is required");
+        }
+        // The anthropic provider reads ANTHROPIC_API_KEY from env automatically
+    }
+
+    chat(messages: LlmMessage[], config: LlmProviderConfig): StreamResult {
+        const systemPrompt = config.systemPrompt || messages.find(m => m.role === "system")?.content;
+        const chatMessages = messages.filter(m => m.role !== "system");
+
+        // Convert to AI SDK message format
+        const coreMessages: CoreMessage[] = chatMessages.map(m => ({
+            role: m.role as "user" | "assistant",
+            content: m.content
+        }));
+
+        const model = anthropic(config.model || DEFAULT_MODEL);
+
+        // Build options for streamText
+        const streamOptions: Parameters<typeof streamText>[0] = {
+            model,
+            messages: coreMessages,
+            maxOutputTokens: config.maxTokens || DEFAULT_MAX_TOKENS,
+            system: systemPrompt
+        };
+
+        // Enable extended thinking for deeper reasoning
+        if (config.enableExtendedThinking) {
+            const thinkingBudget = config.thinkingBudget || 10000;
+            streamOptions.providerOptions = {
+                anthropic: {
+                    thinking: {
+                        type: "enabled",
+                        budgetTokens: thinkingBudget
+                    }
+                }
+            };
+            streamOptions.maxOutputTokens = Math.max(
+                streamOptions.maxOutputTokens || DEFAULT_MAX_TOKENS,
+                thinkingBudget + 4000
+            );
+        }
+
+        // Build tools object
+        const tools: Record<string, unknown> = {};
+
+        if (config.enableWebSearch) {
+            tools.web_search = anthropic.tools.webSearch_20250305({
+                maxUses: 5
+            });
+        }
+
+        if (config.enableNoteTools) {
+            Object.assign(tools, noteTools);
+        }
+
+        if (Object.keys(tools).length > 0) {
+            streamOptions.tools = tools;
+            // Allow multiple tool use cycles before final response
+            streamOptions.maxSteps = 5;
+            // Override default stopWhen which stops after 1 step
+            streamOptions.stopWhen = stepCountIs(5);
+            // Let model decide when to use tools vs respond with text
+            streamOptions.toolChoice = "auto";
+        }
+
+        return streamText(streamOptions);
+    }
+
+    getModelPricing(model: string): ModelPricing | undefined {
+        return MODEL_PRICING[model];
+    }
+
+    getAvailableModels(): ModelInfo[] {
+        return AVAILABLE_MODELS;
+    }
+}

apps/server/src/services/llm/stream.ts

@@ -0,0 +1,102 @@
+/**
+ * Shared streaming utilities for converting AI SDK streams to SSE chunks.
+ */
+
+import type { LlmStreamChunk } from "@triliumnext/commons";
+
+import type { ModelPricing, StreamResult } from "./types.js";
+
+/**
+ * Calculate estimated cost in USD based on token usage and pricing.
+ */
+function calculateCost(inputTokens: number, outputTokens: number, pricing?: ModelPricing): number | undefined {
+    if (!pricing) return undefined;
+
+    const inputCost = (inputTokens / 1_000_000) * pricing.input;
+    const outputCost = (outputTokens / 1_000_000) * pricing.output;
+
+    return inputCost + outputCost;
+}
+
+export interface StreamOptions {
+    /** Model identifier for display */
+    model?: string;
+    /** Model pricing for cost calculation (from provider) */
+    pricing?: ModelPricing;
+}
+
+/**
+ * Convert an AI SDK StreamResult to an async iterable of LlmStreamChunk.
+ * This is provider-agnostic - works with any AI SDK provider.
+ */
+export async function* streamToChunks(result: StreamResult, options: StreamOptions = {}): AsyncIterable<LlmStreamChunk> {
+    try {
+        for await (const part of result.fullStream) {
+            switch (part.type) {
+                case "text-delta":
+                    yield { type: "text", content: part.text };
+                    break;
+
+                case "reasoning-delta":
+                    yield { type: "thinking", content: part.text };
+                    break;
+
+                case "tool-call":
+                    yield {
+                        type: "tool_use",
+                        toolName: part.toolName,
+                        toolInput: part.input as Record<string, unknown>
+                    };
+                    break;
+
+                case "tool-result":
+                    yield {
+                        type: "tool_result",
+                        toolName: part.toolName,
+                        result: typeof part.output === "string"
+                            ? part.output
+                            : JSON.stringify(part.output)
+                    };
+                    break;
+
+                case "source":
+                    // Citation from web search (only URL sources have url property)
+                    if (part.sourceType === "url") {
+                        yield {
+                            type: "citation",
+                            citation: {
+                                url: part.url,
+                                title: part.title
+                            }
+                        };
+                    }
+                    break;
+
+                case "error":
+                    yield { type: "error", error: String(part.error) };
+                    break;
+            }
+        }
+
+        // Get usage information after stream completes
+        const usage = await result.usage;
+        if (usage && typeof usage.inputTokens === "number" && typeof usage.outputTokens === "number") {
+            const cost = calculateCost(usage.inputTokens, usage.outputTokens, options.pricing);
+            yield {
+                type: "usage",
+                usage: {
+                    promptTokens: usage.inputTokens,
+                    completionTokens: usage.outputTokens,
+                    totalTokens: usage.inputTokens + usage.outputTokens,
+                    cost,
+                    model: options.model
+                }
+            };
+        }
+
+        yield { type: "done" };
+    } catch (error) {
+        const message = error instanceof Error ? error.message : "Unknown error";
+        yield { type: "error", error: message };
+    }
+}

apps/server/src/services/llm/tools.ts

@@ -0,0 +1,70 @@
+/**
+ * LLM tools that wrap existing Trilium services.
+ * These reuse the same logic as ETAPI without any HTTP overhead.
+ */
+
+import { tool } from "ai";
+import { z } from "zod";
+
+import becca from "../../becca/becca.js";
+import SearchContext from "../search/search_context.js";
+import searchService from "../search/services/search.js";
+
+/**
+ * Search for notes in the knowledge base.
+ */
+export const searchNotes = tool({
+    description: "Search for notes in the user's knowledge base. Returns note metadata including title, type, and IDs.",
+    inputSchema: z.object({
+        query: z.string().describe("Search query (supports Trilium search syntax)")
+    }),
+    execute: async ({ query }) => {
+        const searchContext = new SearchContext({});
+        const results = searchService.findResultsWithQuery(query, searchContext);
+
+        return results.slice(0, 10).map(sr => {
+            const note = becca.notes[sr.noteId];
+            if (!note) return null;
+            return {
+                noteId: note.noteId,
+                title: note.title,
+                type: note.type
+            };
+        }).filter(Boolean);
+    }
+});
+
+/**
+ * Read the content of a specific note.
+ */
+export const readNote = tool({
+    description: "Read the full content of a note by its ID. Use search_notes first to find relevant note IDs.",
+    inputSchema: z.object({
+        noteId: z.string().describe("The ID of the note to read")
+    }),
+    execute: async ({ noteId }) => {
+        const note = becca.getNote(noteId);
+        if (!note) {
+            return { error: "Note not found" };
+        }
+        if (note.isProtected) {
+            return { error: "Note is protected" };
+        }
+
+        const content = note.getContent();
+        return {
+            noteId: note.noteId,
+            title: note.title,
+            type: note.type,
+            content: typeof content === "string" ? content : "[binary content]"
+        };
+    }
+});
+
+/**
+ * All available note tools.
+ */
+export const noteTools = {
+    search_notes: searchNotes,
+    read_note: readNote
+};

apps/server/src/services/llm/types.ts

@@ -0,0 +1,72 @@
+/**
+ * Server-specific LLM Provider types.
+ * Shared types (LlmMessage, LlmCitation, LlmStreamChunk, LlmChatConfig)
+ * should be imported from @triliumnext/commons.
+ */
+
+import type { LlmChatConfig, LlmMessage } from "@triliumnext/commons";
+import type { streamText } from "ai";
+
+/**
+ * Extended provider config with server-specific options.
+ */
+export interface LlmProviderConfig extends LlmChatConfig {
+    maxTokens?: number;
+    temperature?: number;
+}
+
+/**
+ * Result type from streamText - the AI SDK's unified streaming interface.
+ */
+export type StreamResult = ReturnType<typeof streamText>;
+
+/**
+ * Pricing per million tokens for a model.
+ */
+export interface ModelPricing {
+    /** Cost per million input tokens in USD */
+    input: number;
+    /** Cost per million output tokens in USD */
+    output: number;
+}
+
+/**
+ * Information about an available model.
+ */
+export interface ModelInfo {
+    /** Model identifier (e.g., "claude-sonnet-4-20250514") */
+    id: string;
+    /** Human-readable name (e.g., "Claude Sonnet 4") */
+    name: string;
+    /** Pricing per million tokens */
+    pricing: ModelPricing;
+    /** Whether this is the default model */
+    isDefault?: boolean;
+    /** Cost multiplier relative to the cheapest model (1x = cheapest) */
+    costMultiplier?: number;
+    /** Maximum context window size in tokens */
+    contextWindow?: number;
+}
+
+export interface LlmProvider {
+    name: string;
+
+    /**
+     * Create a streaming chat completion.
+     * Returns the AI SDK StreamResult which is provider-agnostic.
+     */
+    chat(
+        messages: LlmMessage[],
+        config: LlmProviderConfig
+    ): StreamResult;
+
+    /**
+     * Get pricing for a model. Returns undefined if pricing is not available.
+     */
+    getModelPricing(model: string): ModelPricing | undefined;
+
+    /**
+     * Get list of available models for this provider.
+     */
+    getAvailableModels(): ModelInfo[];
+}

apps/server/src/services/note_types.ts

@@ -15,7 +15,8 @@ const noteTypes = [
     { type: "doc", defaultMime: "" },
     { type: "contentWidget", defaultMime: "" },
     { type: "mindMap", defaultMime: "application/json" },
-    { type: "spreadsheet", defaultMime: "application/json" }
+    { type: "spreadsheet", defaultMime: "application/json" },
+    { type: "llmChat", defaultMime: "application/json" }
 ];
 
 function getDefaultMimeForNoteType(typeName: string) {

apps/web-clipper/package.json

@@ -13,7 +13,7 @@
     "postinstall": "wxt prepare"
   },
   "keywords": [],
-  "packageManager": "pnpm@10.32.1",
+  "packageManager": "pnpm@10.33.0",
   "devDependencies": {
     "@wxt-dev/auto-icons": "1.1.1",
     "wxt": "0.20.20"

apps/website/package.json

@@ -9,21 +9,21 @@
 		"preview": "pnpm build && vite preview"
 	},
 	"dependencies": {
-		"i18next": "25.10.3",
+		"i18next": "25.10.10",
 		"i18next-http-backend": "3.0.2",
 		"preact": "10.29.0",
 		"preact-iso": "2.11.1",
 		"preact-render-to-string": "6.6.6",
-		"react-i18next": "16.6.0"
+		"react-i18next": "17.0.0"
 	},
 	"devDependencies": {
 		"@preact/preset-vite": "2.10.5",
 		"eslint": "10.1.0",
 		"eslint-config-preact": "2.0.0",
 		"typescript": "5.9.3",
-		"user-agent-data-types": "0.4.2",
-		"vite": "8.0.1",
-		"vitest": "4.1.0"
+		"user-agent-data-types": "0.4.3",
+		"vite": "8.0.3",
+		"vitest": "4.1.2"
 	},
 	"eslintConfig": {
 		"extends": "preact"

apps/website/src/translations/it/translation.json

@@ -201,7 +201,7 @@
     "resources": {
         "title": "Risorse",
         "icon_packs": "Pacchetti di icone",
-        "icon_packs_intro": "Ampliate la selezione di icone disponibili per le vostre note utilizzando un pacchetto di icone. Per ulteriori informazioni sui pacchetti di icone, consultate la<DocumentationLink>documentazione ufficiale</DocumentationLink>.",
+        "icon_packs_intro": "Ampliate la selezione di icone disponibili per le vostre note utilizzando un pacchetto di icone. Per ulteriori informazioni sui pacchetti di icone, consultate la <DocumentationLink>documentazione ufficiale</DocumentationLink>.",
         "download": "Scarica",
         "website": "Sito web"
     }

apps/website/src/translations/pl/translation.json

@@ -201,7 +201,7 @@
     "resources": {
         "title": "Zasoby",
         "icon_packs": "Paczki ikon",
-        "icon_packs_intro": "Rozszerz wybór dostępnych ikon dla swoich notatek, korzystając z pakietu ikon. Więcej informacji na temat pakietów ikon znajdziesz w <DocumentationLink> dokumentacji </DocumentationLink>.",
+        "icon_packs_intro": "Rozszerz wybór dostępnych ikon dla swoich notatek, korzystając z pakietu ikon. Więcej informacji na temat pakietów ikon znajdziesz w <DocumentationLink> oficjalnej dokumentacji </DocumentationLink>.",
         "download": "Pobieranie",
         "website": "Strona internetowa"
     }

docs/README-pl.md

@@ -48,7 +48,7 @@ wiedzy.
 [docs.triliumnotes.org](https://docs.triliumnotes.org/)**
 
 Nasza dokumentacja jest dostępna w wielu formatach:
-- **Dokumentacja Online**: Pełna dokumentacja dostępna na
+- **Dokumentacja online**: Przeglądaj pełną dokumentację pod linkiem
   [docs.triliumnotes.org](https://docs.triliumnotes.org/)
 - **Pomoc w aplikacji**: Naciśnij `F1` w Trilium, aby uzyskać dostęp do tej
   samej dokumentacji bezpośrednio w aplikacji

package.json

@@ -52,9 +52,9 @@
     "@types/express": "5.0.6",
     "@types/js-yaml": "4.0.9",
     "@types/node": "24.12.0",
-    "@vitest/browser-webdriverio": "4.1.0",
-    "@vitest/coverage-v8": "4.1.0",
-    "@vitest/ui": "4.1.0",
+    "@vitest/browser-webdriverio": "4.1.2",
+    "@vitest/coverage-v8": "4.1.2",
+    "@vitest/ui": "4.1.2",
     "chalk": "5.6.2",
     "cross-env": "10.1.0",
     "dpdm": "4.0.1",
@@ -64,7 +64,7 @@
     "eslint-config-prettier": "10.1.8",
     "eslint-plugin-playwright": "2.10.1",
     "eslint-plugin-simple-import-sort": "12.1.1",
-    "happy-dom": "20.8.4",
+    "happy-dom": "20.8.9",
     "http-server": "14.1.1",
     "jiti": "2.6.1",
     "js-yaml": "4.1.1",
@@ -74,11 +74,11 @@
     "tslib": "2.8.1",
     "tsx": "4.21.0",
     "typescript": "5.9.3",
-    "typescript-eslint": "8.57.1",
+    "typescript-eslint": "8.57.2",
     "upath": "2.0.1",
-    "vite": "8.0.1",
+    "vite": "8.0.3",
     "vite-plugin-dts": "4.5.4",
-    "vitest": "4.1.0"
+    "vitest": "4.1.2"
   },
   "license": "AGPL-3.0-only",
   "author": {
@@ -94,14 +94,14 @@
     "url": "https://github.com/TriliumNext/Trilium/issues"
   },
   "homepage": "https://triliumnotes.org",
-  "packageManager": "pnpm@10.32.1",
+  "packageManager": "pnpm@10.33.0",
   "pnpm": {
     "patchedDependencies": {
       "@ckeditor/ckeditor5-mention": "patches/@ckeditor__ckeditor5-mention.patch",
       "@ckeditor/ckeditor5-code-block": "patches/@ckeditor__ckeditor5-code-block.patch"
     },
     "overrides": {
-      "@codemirror/language": "6.12.2",
+      "@codemirror/language": "6.12.3",
       "@lezer/highlight": "1.2.3",
       "@lezer/common": "1.5.1",
       "mermaid": "11.13.0",

packages/ckeditor5-admonition/package.json

@@ -24,22 +24,22 @@
     "@ckeditor/ckeditor5-dev-build-tools": "55.2.0",
     "@ckeditor/ckeditor5-inspector": ">=4.1.0",
     "@ckeditor/ckeditor5-package-tools": "5.1.0",
-    "@typescript-eslint/eslint-plugin": "8.57.1",
-    "@typescript-eslint/parser": "8.57.1",
-    "@vitest/browser": "4.1.0",
-    "@vitest/coverage-istanbul": "4.1.0",
+    "@typescript-eslint/eslint-plugin": "8.57.2",
+    "@typescript-eslint/parser": "8.57.2",
+    "@vitest/browser": "4.1.2",
+    "@vitest/coverage-istanbul": "4.1.2",
     "ckeditor5": "47.6.1",
     "eslint": "10.1.0",
     "eslint-config-ckeditor5": ">=9.1.0",
     "http-server": "14.1.1",
     "lint-staged": "16.4.0",
-    "stylelint": "17.5.0",
+    "stylelint": "17.6.0",
     "stylelint-config-ckeditor5": ">=9.1.0",
     "ts-node": "10.9.2",
     "typescript": "5.9.3",
     "vite-plugin-svgo": "2.0.0",
-    "vitest": "4.1.0",
-    "webdriverio": "9.26.1"
+    "vitest": "4.1.2",
+    "webdriverio": "9.27.0"
   },
   "peerDependencies": {
     "ckeditor5": "47.6.1"

packages/ckeditor5-footnotes/package.json

@@ -25,22 +25,22 @@
     "@ckeditor/ckeditor5-dev-build-tools": "55.2.0",
     "@ckeditor/ckeditor5-inspector": ">=4.1.0",
     "@ckeditor/ckeditor5-package-tools": "5.1.0",
-    "@typescript-eslint/eslint-plugin": "8.57.1",
-    "@typescript-eslint/parser": "8.57.1",
-    "@vitest/browser": "4.1.0",
-    "@vitest/coverage-istanbul": "4.1.0",
+    "@typescript-eslint/eslint-plugin": "8.57.2",
+    "@typescript-eslint/parser": "8.57.2",
+    "@vitest/browser": "4.1.2",
+    "@vitest/coverage-istanbul": "4.1.2",
     "ckeditor5": "47.6.1",
     "eslint": "10.1.0",
     "eslint-config-ckeditor5": ">=9.1.0",
     "http-server": "14.1.1",
     "lint-staged": "16.4.0",
-    "stylelint": "17.5.0",
+    "stylelint": "17.6.0",
     "stylelint-config-ckeditor5": ">=9.1.0",
     "ts-node": "10.9.2",
     "typescript": "5.9.3",
     "vite-plugin-svgo": "2.0.0",
-    "vitest": "4.1.0",
-    "webdriverio": "9.26.1"
+    "vitest": "4.1.2",
+    "webdriverio": "9.27.0"
   },
   "peerDependencies": {
     "ckeditor5": "47.6.1"

packages/ckeditor5-keyboard-marker/package.json

@@ -27,22 +27,22 @@
     "@ckeditor/ckeditor5-dev-build-tools": "55.2.0",
     "@ckeditor/ckeditor5-inspector": ">=4.1.0",
     "@ckeditor/ckeditor5-package-tools": "5.1.0",
-    "@typescript-eslint/eslint-plugin": "8.57.1",
-    "@typescript-eslint/parser": "8.57.1",
-    "@vitest/browser": "4.1.0",
-    "@vitest/coverage-istanbul": "4.1.0",
+    "@typescript-eslint/eslint-plugin": "8.57.2",
+    "@typescript-eslint/parser": "8.57.2",
+    "@vitest/browser": "4.1.2",
+    "@vitest/coverage-istanbul": "4.1.2",
     "ckeditor5": "47.6.1",
     "eslint": "10.1.0",
     "eslint-config-ckeditor5": ">=9.1.0",
     "http-server": "14.1.1",
     "lint-staged": "16.4.0",
-    "stylelint": "17.5.0",
+    "stylelint": "17.6.0",
     "stylelint-config-ckeditor5": ">=9.1.0",
     "ts-node": "10.9.2",
     "typescript": "5.9.3",
     "vite-plugin-svgo": "2.0.0",
-    "vitest": "4.1.0",
-    "webdriverio": "9.26.1"
+    "vitest": "4.1.2",
+    "webdriverio": "9.27.0"
   },
   "peerDependencies": {
     "ckeditor5": "47.6.1"

packages/ckeditor5-math/package.json

@@ -27,22 +27,22 @@
     "@ckeditor/ckeditor5-dev-build-tools": "55.2.0",
     "@ckeditor/ckeditor5-inspector": ">=4.1.0",
     "@ckeditor/ckeditor5-package-tools": "5.1.0",
-    "@typescript-eslint/eslint-plugin": "8.57.1",
-    "@typescript-eslint/parser": "8.57.1",
-    "@vitest/browser": "4.1.0",
-    "@vitest/coverage-istanbul": "4.1.0",
+    "@typescript-eslint/eslint-plugin": "8.57.2",
+    "@typescript-eslint/parser": "8.57.2",
+    "@vitest/browser": "4.1.2",
+    "@vitest/coverage-istanbul": "4.1.2",
     "ckeditor5": "47.6.1",
     "eslint": "10.1.0",
     "eslint-config-ckeditor5": ">=9.1.0",
     "http-server": "14.1.1",
     "lint-staged": "16.4.0",
-    "stylelint": "17.5.0",
+    "stylelint": "17.6.0",
     "stylelint-config-ckeditor5": ">=9.1.0",
     "ts-node": "10.9.2",
     "typescript": "5.9.3",
     "vite-plugin-svgo": "2.0.0",
-    "vitest": "4.1.0",
-    "webdriverio": "9.26.1"
+    "vitest": "4.1.2",
+    "webdriverio": "9.27.0"
   },
   "peerDependencies": {
     "ckeditor5": "47.6.1"

packages/ckeditor5-mermaid/package.json

@@ -27,22 +27,22 @@
     "@ckeditor/ckeditor5-dev-build-tools": "55.2.0",
     "@ckeditor/ckeditor5-inspector": ">=4.1.0",
     "@ckeditor/ckeditor5-package-tools": "5.1.0",
-    "@typescript-eslint/eslint-plugin": "8.57.1",
-    "@typescript-eslint/parser": "8.57.1",
-    "@vitest/browser": "4.1.0",
-    "@vitest/coverage-istanbul": "4.1.0",
+    "@typescript-eslint/eslint-plugin": "8.57.2",
+    "@typescript-eslint/parser": "8.57.2",
+    "@vitest/browser": "4.1.2",
+    "@vitest/coverage-istanbul": "4.1.2",
     "ckeditor5": "47.6.1",
     "eslint": "10.1.0",
     "eslint-config-ckeditor5": ">=9.1.0",
     "http-server": "14.1.1",
     "lint-staged": "16.4.0",
-    "stylelint": "17.5.0",
+    "stylelint": "17.6.0",
     "stylelint-config-ckeditor5": ">=9.1.0",
     "ts-node": "10.9.2",
     "typescript": "5.9.3",
     "vite-plugin-svgo": "2.0.0",
-    "vitest": "4.1.0",
-    "webdriverio": "9.26.1"
+    "vitest": "4.1.2",
+    "webdriverio": "9.27.0"
   },
   "peerDependencies": {
     "ckeditor5": "47.6.1"

packages/commons/src/index.ts

@@ -16,3 +16,4 @@ export * from "./lib/notes.js";
 export * from "./lib/week_utils.js";
 export { default as BUILTIN_ATTRIBUTES } from "./lib/builtin_attributes.js";
 export * from "./lib/spreadsheet/render_to_html.js";
+export * from "./lib/llm_api.js";

packages/commons/src/lib/llm_api.ts

@@ -0,0 +1,97 @@
+/**
+ * Shared LLM types for chat integration.
+ * Used by both client and server for API communication.
+ */
+
+/**
+ * A chat message in the conversation.
+ */
+export interface LlmMessage {
+    role: "user" | "assistant" | "system";
+    content: string;
+}
+
+/**
+ * Citation information extracted from LLM responses.
+ * May include URL (for web search) or document metadata (for document citations).
+ */
+export interface LlmCitation {
+    /** Source URL (typically from web search) */
+    url?: string;
+    /** Document or page title */
+    title?: string;
+    /** The text that was cited */
+    citedText?: string;
+}
+
+/**
+ * Configuration for LLM chat requests.
+ */
+export interface LlmChatConfig {
+    provider?: string;
+    model?: string;
+    systemPrompt?: string;
+    /** Enable web search tool */
+    enableWebSearch?: boolean;
+    /** Enable note tools (search and read notes) */
+    enableNoteTools?: boolean;
+    /** Enable extended thinking for deeper reasoning */
+    enableExtendedThinking?: boolean;
+    /** Token budget for extended thinking (default: 10000) */
+    thinkingBudget?: number;
+}
+
+/**
+ * Pricing per million tokens for a model.
+ */
+export interface LlmModelPricing {
+    /** Cost per million input tokens in USD */
+    input: number;
+    /** Cost per million output tokens in USD */
+    output: number;
+}
+
+/**
+ * Information about an available LLM model.
+ */
+export interface LlmModelInfo {
+    /** Model identifier (e.g., "claude-sonnet-4-20250514") */
+    id: string;
+    /** Human-readable name (e.g., "Claude Sonnet 4") */
+    name: string;
+    /** Pricing per million tokens */
+    pricing: LlmModelPricing;
+    /** Whether this is the default model */
+    isDefault?: boolean;
+    /** Cost multiplier relative to the cheapest model (1x = cheapest) */
+    costMultiplier?: number;
+    /** Maximum context window size in tokens */
+    contextWindow?: number;
+}
+
+/**
+ * Token usage information from the LLM response.
+ */
+export interface LlmUsage {
+    promptTokens: number;
+    completionTokens: number;
+    totalTokens: number;
+    /** Estimated cost in USD (if available) */
+    cost?: number;
+    /** Model identifier used for this response */
+    model?: string;
+}
+
+/**
+ * Stream chunk types for real-time SSE updates.
+ * Defines the protocol between server and client.
+ */
+export type LlmStreamChunk =
+    | { type: "text"; content: string }
+    | { type: "thinking"; content: string }
+    | { type: "tool_use"; toolName: string; toolInput: Record<string, unknown> }
+    | { type: "tool_result"; toolName: string; result: string }
+    | { type: "citation"; citation: LlmCitation }
+    | { type: "usage"; usage: LlmUsage }
+    | { type: "error"; error: string }
+    | { type: "done" };

packages/commons/src/lib/notes.ts

@@ -21,7 +21,8 @@ export const NOTE_TYPE_ICONS = {
     doc: "bx bxs-file-doc",
     contentWidget: "bx bxs-widget",
     mindMap: "bx bx-sitemap",
-    spreadsheet: "bx bx-table"
+    spreadsheet: "bx bx-table",
+    llmChat: "bx bx-message-square-dots"
 };
 
 const FILE_MIME_MAPPINGS = {

packages/commons/src/lib/rows.ts

@@ -122,7 +122,8 @@ export const ALLOWED_NOTE_TYPES = [
     "webView",
     "code",
     "mindMap",
-    "spreadsheet"
+    "spreadsheet",
+    "llmChat"
 ] as const;
 export type NoteType = (typeof ALLOWED_NOTE_TYPES)[number];
 

packages/share-theme/package.json

@@ -25,14 +25,14 @@
   "license": "Apache-2.0",
   "dependencies": {
     "fuse.js": "7.1.0",
-    "katex": "0.16.40",
+    "katex": "0.16.44",
     "mermaid": "11.13.0"
   },
   "devDependencies": {
     "@digitak/esrun": "3.2.26",
     "@triliumnext/ckeditor5": "workspace:*",
-    "@typescript-eslint/eslint-plugin": "8.57.1",
-    "@typescript-eslint/parser": "8.57.1",
+    "@typescript-eslint/eslint-plugin": "8.57.2",
+    "@typescript-eslint/parser": "8.57.2",
     "dotenv": "17.3.1",
     "esbuild": "0.27.4",
     "eslint": "10.1.0",