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App Settings

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Appearance

Theme

\n \n \n Auto\n \n \n \n Light\n \n \n \n Dark\n \n

Font

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The quick brown fox jumps over the lazy dog.

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The quick brown fox jumps over the lazy dog.

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The quick brown fox jumps over the lazy dog.

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Data

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Presets

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\n name\n \n \n

\n system prompt\n \n

\n model\n

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\n temperature\n \n

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\n max tokens\n \n

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\n reasoning\n \n

\n \n \n browser search\n \n \n \n code interpreter\n \n \n \n stream\n \n \n \n json mode\n \n

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No presets yet.

\n\n\n",[],[272,278,285],{"_102":295,"_95":296,"_151":297,"_153":279,"_154":136,"_155":298,"_157":158,"_104":299,"_99":300,"_160":290,"_162":301,"_163":22,"_164":-5,"_165":302,"_98":303},"3933cf40-95ab-11f0-a5f0-0224a6c84d84","chatControls.html","e16237b4-804e-11f0-a930-0224a6c84d84",197,["D",1758322307927],11,"

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\n Settings\n

\n \n Save Changes\n ⏳ Saving...\n \n \n

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\n API Key (get key)\n

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\n API Key (get key)\n

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\n reasoning effort\n \n

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\n \n \n stream responses\n \n \n \n jobs mode\n \n \n \n JSON mode\n \n \n \n browser search\n \n \n \n code interpreter\n \n

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\n system prompt (this chat)\n \n

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\n\n\n",[],[272,278,296],{"_102":305,"_95":306,"_151":307,"_153":279,"_154":136,"_155":308,"_157":158,"_104":309,"_99":310,"_160":290,"_162":311,"_163":22,"_164":-5,"_165":312,"_98":313},"392ce482-95ab-11f0-a336-0224a6c84d84","chatWindow.html","e2268db2-804e-11f0-990e-0224a6c84d84",196,["D",1758322307927],10,"

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Chatter

General-purpose AI assistant

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\n\n\n",[],[272,278,306],{"_102":315,"_95":316,"_151":317,"_153":279,"_154":136,"_155":318,"_157":158,"_104":319,"_99":32,"_160":290,"_162":320,"_163":22,"_164":-5,"_165":321,"_98":322},"cd73756e-931e-11f0-9474-0224a6c84d84","globalMenu.html","cd737636-931e-11f0-9474-0224a6c84d84",182,["D",1758042095358],"\n

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\n Tools\n \n

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Notes

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\n",[],[272,278,316],{"_102":324,"_95":325,"_151":326,"_153":279,"_154":136,"_155":327,"_157":158,"_104":328,"_99":289,"_160":290,"_162":329,"_163":22,"_164":-5,"_165":330,"_98":331},"3899d112-86ae-11f0-bc44-0224a6c84d84","sidebarDesktop.html","e1c45174-804e-11f0-a248-0224a6c84d84",140,["D",1756674328045],"\n\n\n",[],[272,278,325],{"_102":333,"_95":334,"_151":335,"_153":279,"_154":136,"_155":336,"_157":158,"_104":337,"_99":180,"_160":290,"_162":338,"_163":22,"_164":-5,"_165":339,"_98":340},"38b1f422-86ae-11f0-b7f3-0224a6c84d84","sidebarMobile.html","e16bcc48-804e-11f0-a93f-0224a6c84d84",143,["D",1756674328198],"

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\n\n\n",[],[272,278,334],[272,278],{"_102":343,"_95":344,"_151":345,"_153":273,"_154":136,"_155":346,"_157":158,"_104":347,"_99":32,"_160":161,"_162":-5,"_163":22,"_164":-5,"_165":348,"_98":367},"8fdb7f04-78f1-11f0-bbe7-0224a6c84d84","core","8fdb7fc2-78f1-11f0-bbe7-0224a6c84d84",43,["D",1755163934439],[349,358],{"_102":350,"_95":351,"_151":352,"_153":345,"_154":136,"_155":353,"_157":158,"_104":354,"_99":300,"_160":181,"_162":355,"_163":22,"_164":-5,"_165":356,"_98":357},"cd80e12c-931e-11f0-8949-0224a6c84d84","chatCore.js","8feeae30-78f1-11f0-aafe-0224a6c84d84",183,["D",1758042095445],"// Core chat + DB helpers extracted from chatterApp\n\nexport async function initDb(state) {\n try {\n state.db = new window.Dexie('chat_db');\n state.db.version(1).stores({ chats: '++id,title,createdAt' });\n state.db.version(2).stores({ chats: '++id,title,createdAt', messages: '++id,chatId,createdAt,role,content' });\n state.db.version(3).stores({ chats: '++id,title,createdAt,folderId', messages: '++id,chatId,createdAt,role,content', folders: '++id,name,createdAt,order,collapsed' });\n // v4: add stable slug support to chats\n state.db.version(4).stores({ chats: '++id,title,slug,createdAt,folderId', messages: '++id,chatId,createdAt,role,content', folders: '++id,name,createdAt,order,collapsed' });\n // v5: add per-chat prompt fields and systemPrompts library\n state.db.version(5).stores({\n chats: '++id,title,slug,createdAt,folderId,systemPromptId,systemPromptText',\n messages: '++id,chatId,createdAt,role,content',\n folders: '++id,name,createdAt,order,collapsed',\n systemPrompts: '++id,name,content,createdAt,updatedAt'\n });\n // v6: add settings field to chats for per-chat overrides\n state.db.version(6).stores({\n chats: '++id,title,slug,createdAt,folderId,systemPromptId,systemPromptText,settings',\n messages: '++id,chatId,createdAt,role,content',\n folders: '++id,name,createdAt,order,collapsed',\n systemPrompts: '++id,name,content,createdAt,updatedAt'\n });\n // v7: add settings field to systemPrompts for preset configurations\n state.db.version(7).stores({\n chats: '++id,title,slug,createdAt,folderId,systemPromptId,systemPromptText,settings',\n messages: '++id,chatId,createdAt,role,content,model',\n folders: '++id,name,createdAt,order,collapsed',\n systemPrompts: '++id,name,content,systemPrompt,settings,createdAt,updatedAt'\n });\n // v8: re-affirm model index for messages (safe bump for existing users)\n state.db.version(8).stores({\n chats: '++id,title,slug,createdAt,folderId,systemPromptId,systemPromptText,settings',\n messages: '++id,chatId,createdAt,role,content,model',\n folders: '++id,name,createdAt,order,collapsed',\n systemPrompts: '++id,name,content,systemPrompt,settings,createdAt,updatedAt'\n });\n // v9: support dual-mode settings with activeSettingsSource and customPromptText\n state.db.version(9).stores({\n chats: '++id,title,slug,createdAt,folderId,systemPromptId,systemPromptText,settings,activeSettingsSource,customPromptText',\n messages: '++id,chatId,createdAt,role,content,model',\n folders: '++id,name,createdAt,order,collapsed',\n systemPrompts: '++id,name,content,systemPrompt,settings,createdAt,updatedAt'\n });\n // v10: add notes table for global notes plugin\n state.db.version(10).stores({\n chats: '++id,title,slug,createdAt,folderId,systemPromptId,systemPromptText,settings,activeSettingsSource,customPromptText',\n messages: '++id,chatId,createdAt,role,content,model',\n folders: '++id,name,createdAt,order,collapsed',\n systemPrompts: '++id,name,content,systemPrompt,settings,createdAt,updatedAt',\n notes: '++id,title,content,createdAt,updatedAt'\n });\n try { state.db.on('versionchange', () => { try { state.db.close(); } catch (_) { /* ignore */ } }); } catch (_) { /* ignore */ }\n } catch (e) {\n console.error('Dexie init error', e);\n }\n}\n\nexport async function loadChats(state) {\n try {\n const rows = await state.db.chats.orderBy('createdAt').reverse().toArray();\n state.chats = rows.map(r => ({ id: r.id, title: r.title, slug: r.slug || null, createdAt: r.createdAt, folderId: r.folderId || null }));\n } catch (_) { state.chats = []; }\n}\n\nexport async function loadFolders(state) {\n try {\n const rows = await state.db.folders.orderBy('order').toArray();\n state.folders = rows.map(r => ({ id: r.id, name: r.name || 'folder', createdAt: r.createdAt || Date.now(), order: r.order ?? r.id, collapsed: !!r.collapsed }));\n } catch (_) { state.folders = []; }\n}\n\nexport async function createFolder(state) {\n try {\n const createdAt = Date.now();\n const name = 'folder';\n const order = (state.folders[state.folders.length - 1]?.order || 0) + 1;\n const id = await state.db.folders.add({ name, createdAt, order, collapsed: false });\n await loadFolders(state);\n // Immediately enter rename mode\n startEditingFolder(state, id, name);\n } catch (_) { /* ignore */ }\n}\n\nexport function startEditingFolder(state, id, currentName) {\n state.editingFolderId = id;\n state.editingFolderName = currentName || '';\n setTimeout(() => {\n try {\n const el = document.querySelector('input[data-folder-id=\"' + id + '\"]');\n if (el) { el.focus(); el.select(); }\n } catch (_) {}\n }, 30);\n}\n\nexport async function commitEditingFolder(state) {\n const rawId = state.editingFolderId;\n const id = typeof rawId === 'string' ? Number(rawId) : rawId;\n if (!id) return cancelEditingFolder(state);\n const name = (state.editingFolderName || '').trim() || 'folder';\n try {\n const prev = await state.db.folders.get(id);\n await state.db.folders.put({ id, name, createdAt: prev?.createdAt || Date.now(), order: prev?.order ?? id, collapsed: !!prev?.collapsed });\n await loadFolders(state);\n } catch (_) { /* ignore */ }\n state.editingFolderId = null;\n state.editingFolderName = '';\n}\n\nexport function cancelEditingFolder(state) {\n state.editingFolderId = null;\n state.editingFolderName = '';\n}\n\nexport async function toggleFolderCollapsed(state, id) {\n try {\n const f = await state.db.folders.get(id);\n if (!f) return;\n await state.db.folders.put({ ...f, collapsed: !f.collapsed });\n await loadFolders(state);\n } catch (_) { /* ignore */ }\n}\n\nexport async function moveChatToFolder(state, chatId, folderId) {\n try {\n if (!chatId) return;\n const prev = await state.db.chats.get(chatId);\n if (!prev) return;\n const next = { ...prev, id: chatId, folderId: folderId ?? null };\n await state.db.chats.put(next);\n await loadChats(state);\n } catch (_) { /* ignore */ }\n}\n\nexport function baseChats(state) {\n try {\n const list = (state.chats || []).filter(c => !c.folderId);\n return [{ id: state.ephemeralChatId, title: 'New chat', createdAt: 0, folderId: null, isEphemeral: true }, ...list];\n } catch (_) { return state.chats || []; }\n}\n\nexport function chatsInFolder(state, folderId) {\n try { return (state.chats || []).filter(c => c.folderId === folderId); } catch (_) { return []; }\n}\n\nexport async function createNewChat(state) {\n const input = (state.chatInput || '').trim();\n // If no content, do NOT create a persisted chat. Switch to ephemeral new chat.\n if (!input) {\n state.currentChatId = null;\n state.activeSearchId = state.ephemeralChatId;\n const promptLabel = (() => {\n try {\n const raw = state.chatPromptId;\n const id = (raw == null || raw === '' || raw === 'null') ? null : Number(raw);\n if (id != null && Number.isFinite(id)) {\n const list = Array.isArray(state.presets) ? state.presets : [];\n const match = list.find(p => Number(p.id) === id);\n return (match && match.name) ? String(match.name) : 'preset';\n }\n return 'custom';\n } catch (_) { return 'custom'; }\n })();\n state.messages = [{ role: 'assistant', content: 'Hi! How can I help you today?', createdAt: Date.now(), model: state.selectedModel || null, promptLabel }];\n return;\n }\n const base = input;\n const title = base.substring(0, 60);\n const slug = slugifyTitle(title);\n const createdAt = Date.now();\n const id = await state.db.chats.add({ title, slug, createdAt, folderId: null });\n await loadChats(state);\n await selectChat(state, id);\n}\n\nexport async function selectChat(state, id) {\n if (id === state.ephemeralChatId) {\n state.currentChatId = null;\n state.activeSearchId = state.ephemeralChatId;\n const promptLabel = (() => {\n try {\n const raw = state.chatPromptId;\n const pid = (raw == null || raw === '' || raw === 'null') ? null : Number(raw);\n if (pid != null && Number.isFinite(pid)) {\n const list = Array.isArray(state.presets) ? state.presets : [];\n const match = list.find(p => Number(p.id) === pid);\n return (match && match.name) ? String(match.name) : 'preset';\n }\n return 'custom';\n } catch (_) { return 'custom'; }\n })();\n state.messages = [{ role: 'assistant', content: 'Hi! How can I help you today?', createdAt: Date.now(), model: state.selectedModel || null, promptLabel }];\n // Clear per-chat prompt state when ephemeral\n state.chatPromptId = null;\n state.chatPromptText = '';\n \n // Reset to default/global settings for ephemeral chat\n try {\n const storedModel = localStorage.getItem('groq_model');\n if (storedModel && typeof storedModel === 'string') {\n state.selectedModel = storedModel;\n } else {\n state.selectedModel = 'openai/gpt-oss-120b';\n }\n const storedBase = localStorage.getItem('chat_base_url');\n state.customChatBaseUrl = (storedBase && typeof storedBase === 'string') ? storedBase : '';\n const storedUse = localStorage.getItem('use_browser_search');\n if (storedUse === '0') state.useBrowserSearch = false;\n else if (storedUse === '1') state.useBrowserSearch = true;\n else state.useBrowserSearch = true; // default\n const storedCI = localStorage.getItem('use_code_interpreter');\n if (storedCI === '1') state.useCodeInterpreter = true;\n else if (storedCI === '0') state.useCodeInterpreter = false;\n else state.useCodeInterpreter = false; // default\n const t = localStorage.getItem('temperature');\n if (t != null && t !== '' && !Number.isNaN(Number(t))) state.temperature = Math.max(0, Math.min(2, Number(t)));\n else state.temperature = 1; // default\n const mt = localStorage.getItem('max_tokens');\n if (mt != null && mt !== '' && !Number.isNaN(Number(mt))) state.maxTokens = Math.max(1, Number(mt));\n else state.maxTokens = 8192; // default\n const re = localStorage.getItem('reasoning_effort');\n if (re === 'low' || re === 'medium' || re === 'high') state.reasoningEffort = re;\n else state.reasoningEffort = 'medium'; // default\n const se = localStorage.getItem('stream_enabled');\n if (se === '0') state.streamEnabled = false;\n else if (se === '1') state.streamEnabled = true;\n else state.streamEnabled = true; // default\n const jm = localStorage.getItem('json_mode');\n if (jm === '1') state.jsonMode = true;\n else if (jm === '0') state.jsonMode = false;\n else state.jsonMode = false; // default\n } catch (_) { /* ignore */ }\n \n // Clear preset linking status for ephemeral chat\n if (state.updatePresetLinkingStatus) {\n try {\n state.chatIsLinkedToPreset = false;\n state.chatHasCustomSettingsStored = false;\n } catch (_) { /* ignore */ }\n }\n state.sidebarOpen = false;\n state.$nextTick && state.$nextTick(() => state.scrollToBottom && state.scrollToBottom());\n return;\n }\n state.currentChatId = id;\n state.activeSearchId = id;\n try {\n const rows = await state.db.messages.where('chatId').equals(id).sortBy('createdAt');\n state.messages = rows.map(r => ({ id: r.id, chatId: r.chatId, role: r.role, content: r.content, reasoning: r.reasoning, createdAt: r.createdAt, model: r.model || null, promptLabel: r.promptLabel || null }));\n // Load per-chat prompt metadata and settings\n try {\n const meta = await state.db.chats.get(id);\n console.log('🔄 selectChat: Loading chat meta for chatId =', id, 'meta =', meta);\n \n // Determine which prompt text to surface and how to reflect selection based on activeSettingsSource\n const activeSource = meta?.activeSettingsSource || null;\n // Drive the dropdown by active source: show 'custom' when using custom, otherwise show linked preset id\n if (activeSource === 'custom') {\n state.chatPromptId = null;\n } else if (meta?.systemPromptId != null) {\n state.chatPromptId = String(meta.systemPromptId);\n } else {\n state.chatPromptId = null;\n }\n state.chatPromptText = (activeSource === 'custom') ? (meta?.customPromptText || '') : (meta?.systemPromptText || '');\n \n // Reset settings change tracking when switching chats\n if (state.settingsChanged !== undefined) {\n state.settingsChanged = false;\n }\n \n console.log('🔄 selectChat: Chat prompt setup - chatPromptId =', state.chatPromptId, 'chatPromptText =', state.chatPromptText?.length + ' chars');\n \n // Apply settings - linked preset vs custom settings\n try {\n let settingsToApply = null;\n const activeSource = meta?.activeSettingsSource || null;\n // Treat legacy chats (no activeSettingsSource and no custom settings) as preset-linked\n const isPresetLinked = !!(state.chatPromptId) && (activeSource === 'preset' || (activeSource == null && !meta?.settings));\n if (isPresetLinked) {\n // Chat is linked to a preset and has no custom settings - load from preset\n console.log('🔗 selectChat: Chat is linked to preset', state.chatPromptId, '- loading settings from preset');\n try {\n const preset = await state.db.systemPrompts.get(Number(state.chatPromptId));\n console.log('🔗 selectChat: Retrieved preset =', preset);\n if (preset && preset.settings) {\n settingsToApply = preset.settings;\n console.log('✅ selectChat: Using preset settings =', settingsToApply);\n // Always set chatPromptText from preset when linked to preset\n const presetText = (typeof (preset.systemPrompt != null ? preset.systemPrompt : preset.content) === 'string')\n ? (preset.systemPrompt != null ? preset.systemPrompt : preset.content)\n : '';\n state.chatPromptText = presetText;\n // Opportunistically upgrade legacy chats to explicit 'preset' source and refresh stored systemPromptText\n try {\n if (activeSource == null) {\n await state.db.chats.update(id, { activeSettingsSource: 'preset', systemPromptText: presetText });\n } else if (meta?.systemPromptText !== presetText) {\n await state.db.chats.update(id, { systemPromptText: presetText });\n }\n } catch (_) { /* ignore */ }\n } else {\n console.log('⚠️ selectChat: Preset exists but has no settings');\n }\n } catch (error) {\n console.error('❌ selectChat: Error loading preset', error);\n }\n } else if (activeSource === 'custom' && meta?.settings) {\n // Chat has custom settings (either standalone or delinked from preset)\n settingsToApply = meta.settings;\n console.log('🎛️ selectChat: Chat has custom settings =', settingsToApply);\n } else {\n console.log('🏠 selectChat: No preset link and no custom settings - will use defaults');\n }\n \n // Apply the settings\n if (settingsToApply) {\n if (settingsToApply.selectedModel != null) state.selectedModel = settingsToApply.selectedModel;\n if (settingsToApply.customChatBaseUrl != null) state.customChatBaseUrl = settingsToApply.customChatBaseUrl;\n if (settingsToApply.temperature != null) {\n const v = Number(settingsToApply.temperature);\n state.temperature = Number.isFinite(v) ? Math.max(0, Math.min(2, v)) : state.temperature;\n }\n if (settingsToApply.maxTokens != null) {\n const v2 = Number(settingsToApply.maxTokens);\n state.maxTokens = Number.isFinite(v2) ? Math.max(1, Math.floor(v2)) : state.maxTokens;\n }\n if (settingsToApply.reasoningEffort) state.reasoningEffort = settingsToApply.reasoningEffort;\n if (settingsToApply.streamEnabled != null) state.streamEnabled = !!settingsToApply.streamEnabled;\n if (settingsToApply.jsonMode != null) state.jsonMode = !!settingsToApply.jsonMode;\n if (settingsToApply.useBrowserSearch != null) state.useBrowserSearch = !!settingsToApply.useBrowserSearch;\n if (settingsToApply.useCodeInterpreter != null) state.useCodeInterpreter = !!settingsToApply.useCodeInterpreter;\n } else {\n // No settings to apply - reset to defaults (load from localStorage)\n try {\n const storedModel = localStorage.getItem('groq_model');\n if (storedModel && typeof storedModel === 'string') {\n state.selectedModel = storedModel;\n } else {\n state.selectedModel = 'openai/gpt-oss-120b';\n }\n const storedBase = localStorage.getItem('chat_base_url');\n state.customChatBaseUrl = (storedBase && typeof storedBase === 'string') ? storedBase : '';\n const storedUse = localStorage.getItem('use_browser_search');\n if (storedUse === '0') state.useBrowserSearch = false;\n else if (storedUse === '1') state.useBrowserSearch = true;\n else state.useBrowserSearch = true; // default\n const storedCI = localStorage.getItem('use_code_interpreter');\n if (storedCI === '1') state.useCodeInterpreter = true;\n else if (storedCI === '0') state.useCodeInterpreter = false;\n else state.useCodeInterpreter = false; // default\n const t = localStorage.getItem('temperature');\n if (t != null && t !== '' && !Number.isNaN(Number(t))) state.temperature = Math.max(0, Math.min(2, Number(t)));\n else state.temperature = 1; // default\n const mt = localStorage.getItem('max_tokens');\n if (mt != null && mt !== '' && !Number.isNaN(Number(mt))) state.maxTokens = Math.max(1, Number(mt));\n else state.maxTokens = 8192; // default\n const re = localStorage.getItem('reasoning_effort');\n if (re === 'low' || re === 'medium' || re === 'high') state.reasoningEffort = re;\n else state.reasoningEffort = 'medium'; // default\n const se = localStorage.getItem('stream_enabled');\n if (se === '0') state.streamEnabled = false;\n else if (se === '1') state.streamEnabled = true;\n else state.streamEnabled = true; // default\n const jm = localStorage.getItem('json_mode');\n if (jm === '1') state.jsonMode = true;\n else if (jm === '0') state.jsonMode = false;\n else state.jsonMode = false; // default\n } catch (_) { /* ignore */ }\n }\n } catch (_) { /* ignore */ }\n } catch (_) { /* ignore */ }\n // Fallback: if no explicit per-chat settings were applied, use the last assistant message's model\n try {\n const lastWithModel = Array.isArray(rows) ? [...rows].reverse().find(r => r && r.role === 'assistant' && r.model) : null;\n if (lastWithModel && typeof lastWithModel.model === 'string' && lastWithModel.model.trim()) {\n state.selectedModel = lastWithModel.model;\n }\n } catch (_) { /* ignore */ }\n for (const row of rows) {\n if (row.id != null && row.reasoning && !state.messageReasoningMap[row.id]) {\n state.messageReasoningMap[row.id] = row.reasoning;\n }\n }\n } catch (_) {\n state.messages = [];\n }\n if (!state.messages.length) {\n const createdAt = Date.now();\n const promptLabel = (() => {\n try {\n const raw = state.chatPromptId;\n const id = (raw == null || raw === '' || raw === 'null') ? null : Number(raw);\n if (id != null && Number.isFinite(id)) {\n const list = Array.isArray(state.presets) ? state.presets : [];\n const match = list.find(p => Number(p.id) === id);\n return (match && match.name) ? String(match.name) : 'preset';\n }\n return 'custom';\n } catch (_) { return 'custom'; }\n })();\n const greeting = { role: 'assistant', content: 'Hi! How can I help you today?', createdAt, model: state.selectedModel || null, promptLabel };\n state.messages = [greeting];\n try {\n const chatId = await ensureChatExistsForEdits(state, { force: false });\n if (chatId && state.db) {\n const newId = await state.db.messages.add({ chatId, createdAt, role: 'assistant', content: greeting.content, reasoning: '', model: state.selectedModel || null, promptLabel });\n state.messages[0].id = newId;\n state.messages[0].chatId = chatId;\n }\n } catch (_) { /* ignore */ }\n }\n state.sidebarOpen = false;\n state.$nextTick && state.$nextTick(() => state.scrollToBottom && state.scrollToBottom());\n try { typeof state.updateDocumentTitle === 'function' && state.updateDocumentTitle(); } catch (_) { /* ignore */ }\n}\n\nexport function startEditingChat(state, id, currentTitle) {\n state.editingChatId = id;\n state.editingChatTitle = currentTitle || '';\n try {\n setTimeout(() => {\n const el = document.querySelector('input[data-chat-id=\"' + id + '\"]');\n if (el) { el.focus(); el.select(); }\n }, 50);\n } catch (_) {}\n}\n\nexport async function commitEditingChat(state) {\n const rawId = state.editingChatId;\n const id = typeof rawId === 'string' ? Number(rawId) : rawId;\n if (!id) return cancelEditingChat(state);\n const title = (state.editingChatTitle || '').trim() || 'New chat';\n try {\n if (state.db) {\n const prev = await state.db.chats.get(id);\n const slug = prev?.slug || slugifyTitle(title);\n const next = { ...prev, id, title, slug, createdAt: prev?.createdAt || Date.now() };\n await state.db.chats.put(next);\n }\n await loadChats(state);\n state.activeSearchId = id;\n } catch (_) { /* no-op */ }\n state.editingChatId = null;\n state.editingChatTitle = '';\n try { typeof state.updateDocumentTitle === 'function' && state.updateDocumentTitle(); } catch (_) { /* ignore */ }\n}\n\nexport function cancelEditingChat(state) {\n state.editingChatId = null;\n state.editingChatTitle = '';\n}\n\nexport async function deleteChat(state, id) {\n try {\n if (!state.db) return;\n const chatId = typeof id === 'string' ? Number(id) : id;\n try { await state.db.messages.where('chatId').equals(chatId).delete(); } catch (_) {\n try { await state.db.messages.filter(m => m.chatId === chatId).delete(); } catch (_) { /* ignore */ }\n }\n try { await state.db.chats.delete(chatId); } catch (_) { /* ignore */ }\n await loadChats(state);\n if (state.currentChatId === chatId) {\n const next = state.chats[0]?.id;\n if (next) {\n await selectChat(state, next);\n } else {\n await createNewChat(state);\n }\n }\n } catch (_) { /* ignore */ }\n}\n\nexport async function duplicateChat(state, id) {\n try {\n if (!state || !state.db) return;\n const chatId = typeof id === 'string' ? Number(id) : id;\n if (!Number.isFinite(chatId)) return;\n const orig = await state.db.chats.get(chatId);\n if (!orig) return;\n const title = String(orig.title || 'New chat') + ' (copy)';\n const createdAt = Date.now();\n const folderId = orig.folderId ?? null;\n const slug = (orig.slug && String(orig.slug)) || slugifyTitle(title);\n const newChatId = await state.db.chats.add({ title, slug, createdAt, folderId });\n try {\n const msgs = await state.db.messages.where('chatId').equals(chatId).sortBy('createdAt');\n if (Array.isArray(msgs) && msgs.length) {\n const rows = msgs.map(m => ({ chatId: newChatId, createdAt: m.createdAt, role: m.role, content: m.content, reasoning: m.reasoning || '', model: m.model || null, promptLabel: m.promptLabel || null }));\n try { await state.db.messages.bulkAdd(rows); } catch (_) {\n for (const row of rows) { try { await state.db.messages.add(row); } catch (_) { /* ignore single add */ } }\n }\n }\n } catch (_) { /* ignore */ }\n await loadChats(state);\n } catch (_) { /* ignore */ }\n}\n\nexport async function ensureChatExistsForEdits(state, opts = {}) {\n try {\n const force = !!opts.force;\n if (state.currentChatId && state.db) return state.currentChatId;\n if (!state.db) return null;\n // Only create a chat if there is some user-origin content or forced by the caller\n const hasUserInput = !!(state.chatInput && state.chatInput.trim());\n const hasUserMessage = Array.isArray(state.messages) && state.messages.some(m => m && m.role === 'user' && String(m.content || '').trim());\n if (!force && !hasUserInput && !hasUserMessage) return null;\n const base = (state.chatInput && state.chatInput.trim()) || 'New chat';\n const title = base.substring(0, 60);\n const slug = slugifyTitle(title);\n const createdAt = Date.now();\n const id = await state.db.chats.add({ title, slug, createdAt });\n await loadChats(state);\n state.currentChatId = id;\n state.activeSearchId = id;\n try { typeof state.updateDocumentTitle === 'function' && state.updateDocumentTitle(); } catch (_) { /* ignore */ }\n // Initialize per-chat prompt defaults\n try { await state.db.chats.update(id, { systemPromptId: null, systemPromptText: '' }); } catch (_) { /* ignore */ }\n return id;\n } catch (_) { return null; }\n}\n\nexport async function ensureMessagePersisted(state, idx) {\n try {\n const m = state.messages?.[idx];\n if (!m) return null;\n if (m.id && state.db) return m.id;\n const chatId = await ensureChatExistsForEdits(state, { force: true });\n if (!chatId || !state.db) return null;\n const createdAt = m.createdAt || Date.now();\n const role = m.role || 'assistant';\n const content = String(m.content || '');\n const reasoning = String(m.reasoning || '');\n const model = (m && m.model != null) ? m.model : null;\n const promptLabel = (m && Object.prototype.hasOwnProperty.call(m, 'promptLabel')) ? (m.promptLabel ?? null) : (() => {\n try {\n if (role !== 'assistant') return null;\n const raw = state.chatPromptId;\n const pid = (raw == null || raw === '' || raw === 'null') ? null : Number(raw);\n if (pid != null && Number.isFinite(pid)) {\n const list = Array.isArray(state.presets) ? state.presets : [];\n const match = list.find(p => Number(p.id) === pid);\n return (match && match.name) ? String(match.name) : 'preset';\n }\n return 'custom';\n } catch (_) { return 'custom'; }\n })();\n const newId = await state.db.messages.add({ chatId, createdAt, role, content, reasoning, model, promptLabel });\n state.messages[idx].id = newId;\n state.messages[idx].chatId = chatId;\n state.messages[idx].createdAt = createdAt;\n return newId;\n } catch (_) { return null; }\n}\n\nexport async function persistMessageAtIndex(state, idx) {\n try {\n const m = state.messages?.[idx];\n if (!m || !state.db) return null;\n let chatId = state.currentChatId;\n if (!chatId) chatId = await ensureChatExistsForEdits(state, { force: true });\n if (!chatId) return null;\n const createdAt = m.createdAt || Date.now();\n const role = m.role || 'assistant';\n const content = String(m.content || '');\n const reasoning = String(m.reasoning || '');\n const row = { id: m.id, chatId, createdAt, role, content, reasoning, model: (m && m.model != null) ? m.model : null, promptLabel: (Object.prototype.hasOwnProperty.call(m, 'promptLabel') ? (m.promptLabel ?? null) : null) };\n const newId = await state.db.messages.put(row);\n if (!m.id) { state.messages[idx].id = newId; }\n state.messages[idx].chatId = chatId;\n state.messages[idx].createdAt = createdAt;\n return newId || m.id || null;\n } catch (_) { return null; }\n}\n\nexport async function deleteMessage(state, idx) {\n try {\n if (!Array.isArray(state.messages) || idx == null || idx < 0 || idx >= state.messages.length) return;\n const msg = state.messages[idx];\n const messageId = msg && msg.id != null ? msg.id : null;\n try {\n if (state.db && messageId != null) {\n await state.db.messages.delete(messageId);\n }\n } catch (_) { /* ignore */ }\n try {\n if (messageId != null) {\n if (state.messageReasoningMap && state.messageReasoningMap[messageId] != null) delete state.messageReasoningMap[messageId];\n if (state.expandedReasoningMap && state.expandedReasoningMap[messageId] != null) delete state.expandedReasoningMap[messageId];\n }\n } catch (_) { /* ignore */ }\n try {\n state.messages.splice(idx, 1);\n if (state.copiedMap && state.copiedMap[idx]) delete state.copiedMap[idx];\n } catch (_) { /* ignore */ }\n if (state.editingMessageIdx === idx) {\n state.editingMessageIdx = null;\n state.editingMessageId = null;\n state.editingMessageText = '';\n state.editingMessageOriginal = '';\n } else if (typeof state.editingMessageIdx === 'number' && state.editingMessageIdx > idx) {\n state.editingMessageIdx = state.editingMessageIdx - 1;\n }\n } catch (_) { /* ignore */ }\n}\n\nexport async function deleteMessagesBelow(state, idx) {\n try {\n if (!Array.isArray(state.messages) || idx == null || idx < 0 || idx >= state.messages.length) return;\n const thisChatId = state.currentChatId;\n const toRemove = (state.messages || []).slice(idx + 1);\n try {\n if (state.db) {\n for (const msg of toRemove) {\n const messageId = msg && msg.id != null ? msg.id : null;\n if (messageId != null) {\n try { await state.db.messages.delete(messageId); } catch (_) { /* ignore */ }\n }\n if (messageId != null) {\n if (state.messageReasoningMap && state.messageReasoningMap[messageId] != null) delete state.messageReasoningMap[messageId];\n if (state.expandedReasoningMap && state.expandedReasoningMap[messageId] != null) delete state.expandedReasoningMap[messageId];\n }\n }\n }\n } catch (_) { /* ignore */ }\n try {\n state.messages = (state.messages || []).slice(0, idx + 1);\n if (state.copiedMap) {\n try {\n const keys = Object.keys(state.copiedMap);\n for (const k of keys) {\n const i = Number(k);\n if (Number.isFinite(i) && i > idx) delete state.copiedMap[i];\n }\n } catch (_) { /* ignore */ }\n }\n } catch (_) { /* ignore */ }\n if (typeof state.editingMessageIdx === 'number' && state.editingMessageIdx > idx) {\n state.editingMessageIdx = null;\n state.editingMessageId = null;\n state.editingMessageText = '';\n state.editingMessageOriginal = '';\n }\n try {\n if (state.streamingChats && thisChatId && state.streamingChats[thisChatId]) {\n delete state.streamingChats[thisChatId];\n }\n } catch (_) { /* ignore */ }\n state.scrollToBottom && state.scrollToBottom();\n } catch (_) { /* ignore */ }\n}\n\nexport async function rerunFromUser(state, idx) {\n try {\n if (state.isStreamingForCurrent) return;\n if (!Array.isArray(state.messages) || idx == null || idx < 0 || idx >= state.messages.length) return;\n const m = state.messages[idx];\n if (!m || m.role !== 'user') return;\n const text = String(m.content || '').trim();\n if (!text) return;\n try {\n const toRemove = (state.messages || []).slice(idx + 1);\n if (state.db) {\n for (const msg of toRemove) {\n if (msg && msg.id != null) { try { await state.db.messages.delete(msg.id); } catch (_) { /* ignore */ } }\n }\n }\n } catch (_) { /* ignore */ }\n state.messages = (state.messages || []).slice(0, idx + 1);\n if (!state.currentChatId) {\n try {\n const base = text || 'New chat';\n const title = base.substring(0, 60);\n const slug = slugifyTitle(title);\n const createdAt = Date.now();\n const id = await state.db.chats.add({ title, slug, createdAt });\n await loadChats(state);\n state.currentChatId = id;\n state.activeSearchId = id;\n } catch (_) { /* ignore */ }\n }\n state.scrollToBottom && state.scrollToBottom();\n state.streamAssistant && state.streamAssistant();\n } catch (_) { /* ignore */ }\n}\n\nexport async function sendMessage(state) {\n const text = (state.chatInput || '').trim();\n if (!text) return;\n state.errorMessage = '';\n if (!state.hasServerKey && !state.userApiKey) {\n state.errorMessage = 'please add api key';\n return;\n }\n if (!state.currentChatId) {\n try {\n const base = (state.chatInput && state.chatInput.trim()) || 'New chat';\n const title = base.substring(0, 60);\n const slug = slugifyTitle(title);\n const createdAt = Date.now();\n const id = await state.db.chats.add({ title, slug, createdAt });\n await loadChats(state);\n state.currentChatId = id;\n state.activeSearchId = id;\n } catch (_) { /* ignore */ }\n }\n const createdAt = Date.now();\n const userIndex = state.messages.push({ role: 'user', content: text, createdAt, chatId: state.currentChatId, model: null }) - 1;\n try {\n if (state.currentChatId && state.db) {\n const newId = await state.db.messages.add({ chatId: state.currentChatId, createdAt, role: 'user', content: text, model: null });\n state.messages[userIndex].id = newId;\n }\n } catch (_) {}\n state.chatInput = '';\n try { const ta = document.querySelector('textarea'); if (ta) { ta.style.height = 'auto'; ta.rows = 1; } } catch (_) {}\n state.scrollToBottom && state.scrollToBottom();\n state.streamAssistant && state.streamAssistant();\n}\n\nfunction slugifyTitle(title) {\n try {\n const s = String(title || '').toLowerCase();\n let out = s.replace(/[^a-z0-9]+/g, '-').replace(/^-+|-+$/g, '').replace(/-{2,}/g, '-');\n if (out.length > 60) out = out.slice(0, 60).replace(/-+$/g, '');\n return out;\n } catch (_) { return ''; }\n}\n\n\n// --- Data export/import helpers ---\n\nexport async function exportAllData(state) {\n try {\n if (!state || !state.db) {\n return { meta: { type: 'chatter-export', schemaVersion: 0, exportedAt: Date.now() }, data: { chats: [], messages: [], folders: [] } };\n }\n const [chats, messages, folders, systemPrompts, notes] = await Promise.all([\n state.db.chats.toArray().catch(() => []),\n state.db.messages.toArray().catch(() => []),\n state.db.folders.toArray().catch(() => []),\n state.db.systemPrompts.toArray().catch(() => []),\n state.db.notes.toArray().catch(() => []),\n ]);\n return {\n meta: {\n type: 'chatter-export',\n schemaVersion: Number(state.db.verno || 0),\n exportedAt: Date.now(),\n },\n data: { chats, messages, folders, systemPrompts, notes },\n };\n } catch (_) {\n return { meta: { type: 'chatter-export', schemaVersion: 0, exportedAt: Date.now() }, data: { chats: [], messages: [], folders: [] } };\n }\n}\n\nexport async function importDataReplace(state, input) {\n const parsed = (() => {\n try {\n if (!input) return {};\n if (typeof input === 'string') return JSON.parse(input);\n return input;\n } catch (_) { return {}; }\n })();\n const data = parsed && parsed.data ? parsed.data : parsed;\n const folders = Array.isArray(data?.folders) ? data.folders : [];\n const chats = Array.isArray(data?.chats) ? data.chats : [];\n const messages = Array.isArray(data?.messages) ? data.messages : [];\n const systemPrompts = Array.isArray(data?.systemPrompts) ? data.systemPrompts : [];\n const notes = Array.isArray(data?.notes) ? data.notes : [];\n let counts = { foldersAdded: 0, chatsAdded: 0, messagesAdded: 0 };\n try {\n if (!state || !state.db) return counts;\n await state.db.transaction('rw', state.db.folders, state.db.chats, state.db.messages, state.db.systemPrompts, state.db.notes, async () => {\n await state.db.messages.clear();\n await state.db.chats.clear();\n await state.db.folders.clear();\n await state.db.systemPrompts.clear();\n await state.db.notes.clear();\n if (folders.length) {\n try { await state.db.folders.bulkAdd(folders); counts.foldersAdded = folders.length; } catch (_) {\n for (const f of folders) { try { await state.db.folders.add(f); counts.foldersAdded += 1; } catch (_) {} }\n }\n }\n if (chats.length) {\n try { await state.db.chats.bulkAdd(chats); counts.chatsAdded = chats.length; } catch (_) {\n for (const c of chats) { try { await state.db.chats.add(c); counts.chatsAdded += 1; } catch (_) {} }\n }\n }\n if (messages.length) {\n try { await state.db.messages.bulkAdd(messages); counts.messagesAdded = messages.length; } catch (_) {\n for (const m of messages) { try { await state.db.messages.add(m); counts.messagesAdded += 1; } catch (_) {} }\n }\n }\n if (systemPrompts.length) {\n try { await state.db.systemPrompts.bulkAdd(systemPrompts); } catch (_) {\n for (const sp of systemPrompts) { try { await state.db.systemPrompts.add(sp); } catch (_) {} }\n }\n }\n if (notes.length) {\n try { await state.db.notes.bulkAdd(notes); } catch (_) {\n for (const n of notes) { try { await state.db.notes.add(n); } catch (_) {} }\n }\n }\n });\n } catch (_) { /* ignore */ }\n return counts;\n}\n\nexport async function importDataAppend(state, input) {\n const parsed = (() => {\n try {\n if (!input) return {};\n if (typeof input === 'string') return JSON.parse(input);\n return input;\n } catch (_) { return {}; }\n })();\n const data = parsed && parsed.data ? parsed.data : parsed;\n const folders = Array.isArray(data?.folders) ? data.folders : [];\n const chats = Array.isArray(data?.chats) ? data.chats : [];\n const messages = Array.isArray(data?.messages) ? data.messages : [];\n const systemPrompts = Array.isArray(data?.systemPrompts) ? data.systemPrompts : [];\n const notes = Array.isArray(data?.notes) ? data.notes : [];\n let counts = { foldersAdded: 0, chatsAdded: 0, messagesAdded: 0 };\n const folderIdMap = {};\n const chatIdMap = {};\n try {\n if (!state || !state.db) return counts;\n await state.db.transaction('rw', state.db.folders, state.db.chats, state.db.messages, state.db.systemPrompts, state.db.notes, async () => {\n // Append folders, remapping IDs\n for (const f of folders) {\n try {\n const row = {\n name: f?.name || 'folder',\n createdAt: Number(f?.createdAt) || Date.now(),\n order: (typeof f?.order === 'number') ? f.order : undefined,\n collapsed: !!f?.collapsed,\n };\n const newId = await state.db.folders.add(row);\n if (f && f.id != null) folderIdMap[String(f.id)] = newId;\n counts.foldersAdded += 1;\n } catch (_) { /* ignore single add */ }\n }\n // Append chats, remapping folderId\n for (const c of chats) {\n try {\n const title = (c?.title && String(c.title)) || 'New chat';\n const slug = (c?.slug && String(c.slug)) || slugifyTitle(title);\n const oldFolderId = (c && c.folderId != null) ? String(c.folderId) : null;\n const newFolderId = oldFolderId != null ? (folderIdMap[oldFolderId] ?? null) : null;\n const row = {\n title,\n slug,\n createdAt: Number(c?.createdAt) || Date.now(),\n folderId: newFolderId ?? null,\n };\n const newId = await state.db.chats.add(row);\n if (c && c.id != null) chatIdMap[String(c.id)] = newId;\n counts.chatsAdded += 1;\n } catch (_) { /* ignore */ }\n }\n // Append messages, remapping chatId\n for (const m of messages) {\n try {\n const oldChatId = m && m.chatId != null ? String(m.chatId) : null;\n if (oldChatId == null) continue;\n const newChatId = chatIdMap[oldChatId];\n if (!newChatId) continue;\n const row = {\n chatId: newChatId,\n createdAt: Number(m?.createdAt) || Date.now(),\n role: m?.role || 'assistant',\n content: String(m?.content || ''),\n reasoning: String(m?.reasoning || ''),\n model: (m && m.model != null) ? m.model : null,\n };\n await state.db.messages.add(row);\n counts.messagesAdded += 1;\n } catch (_) { /* ignore */ }\n }\n // Append system prompts\n for (const sp of systemPrompts) {\n try {\n const row = {\n name: sp?.name || 'Preset',\n content: String(sp?.content || ''),\n systemPrompt: String(sp?.systemPrompt || sp?.content || ''),\n settings: sp?.settings || null,\n createdAt: Number(sp?.createdAt) || Date.now(),\n updatedAt: Number(sp?.updatedAt) || Date.now(),\n };\n await state.db.systemPrompts.add(row);\n } catch (_) { /* ignore */ }\n }\n // Append notes\n for (const n of notes) {\n try {\n const row = {\n title: String(n?.title || ''),\n content: String(n?.content || ''),\n createdAt: Number(n?.createdAt) || Date.now(),\n updatedAt: Number(n?.updatedAt) || Date.now(),\n };\n await state.db.notes.add(row);\n } catch (_) { /* ignore */ }\n }\n });\n } catch (_) { /* ignore */ }\n return counts;\n}\n\n\n",[],[272,344,351],{"_102":359,"_95":360,"_151":361,"_153":345,"_154":136,"_155":362,"_157":158,"_104":363,"_99":32,"_160":181,"_162":364,"_163":22,"_164":-5,"_165":365,"_98":366},"b713b42e-86b1-11f0-96d1-0224a6c84d84","jobManager.js","b713b53c-86b1-11f0-96d1-0224a6c84d84",150,["D",1756675828723],"// Minimal frontend JobManager to orchestrate chat jobs via SSE\n// Provides per-job isolation, lifecycle, and integration points for chat UI\n\nimport { createJob as apiCreateJob, streamJob as apiStreamJob, cancelJob as apiCancelJob } from '../apiClient.js';\n\nexport class JobManager {\n constructor() {\n this.jobs = new Map(); // jobId -> { id, type, status, createdAt, updatedAt, data, reader, token }\n }\n\n async startChatJob(state, { messages, userApiKey, model, base_url, temperature, top_p, stop, max_tokens, response_format, reasoning_effort, tools, query, dateRange, source, language, offset }) {\n const input = { messages, userApiKey, model, base_url, temperature, top_p, stop, max_tokens, response_format, reasoning_effort, tools, query, dateRange, source, language, offset };\n const { id } = await apiCreateJob({ type: 'chat', input });\n const token = String(Date.now()) + '-' + Math.random();\n this.jobs.set(id, { id, type: 'chat', status: 'pending', createdAt: Date.now(), updatedAt: Date.now(), data: {}, token });\n const res = await apiStreamJob(id);\n if (!res.ok || !res.body) throw new Error('Failed to stream job');\n const reader = res.body.getReader();\n this.jobs.get(id).reader = reader;\n this._pumpSse(state, id);\n return id;\n }\n\n async cancel(id) {\n try { await apiCancelJob(id); } catch (_) { /* ignore */ }\n const item = this.jobs.get(id);\n if (item && item.reader) { try { item.reader.cancel(); } catch (_) {} }\n this.jobs.delete(id);\n }\n\n async _pumpSse(state, id) {\n const item = this.jobs.get(id);\n if (!item || !item.reader) return;\n const reader = item.reader;\n const decoder = new TextDecoder();\n let buffer = '';\n try {\n while (true) {\n const { done, value } = await reader.read();\n if (done) break;\n buffer += decoder.decode(value, { stream: true });\n const events = buffer.split('\\n\\n');\n buffer = events.pop() || '';\n for (const evt of events) {\n if (!evt.trim()) continue;\n let eventName = 'message';\n const lines = evt.split('\\n');\n for (const line of lines) {\n if (line.startsWith('event: ')) { eventName = line.slice(7).trim(); continue; }\n if (!line.startsWith('data: ')) continue;\n const data = line.slice(6);\n if (data === '[DONE]') continue;\n let parsed = null; try { parsed = JSON.parse(data); } catch (_) { parsed = null; }\n if (eventName === 'job' && parsed) {\n const cur = this.jobs.get(id); if (!cur) continue;\n cur.status = parsed.status || cur.status;\n cur.updatedAt = Date.now();\n if (state && state.handleJobEvent) {\n try { state.handleJobEvent(id, parsed); } catch (_) { /* ignore */ }\n }\n } else if (eventName === 'data' && parsed) {\n if (state && state.applyJobDelta) {\n try { state.applyJobDelta(id, parsed); } catch (_) { /* ignore */ }\n }\n } else if (eventName === 'results' && parsed) {\n if (state && state.applyJobResults) {\n try { state.applyJobResults(id, parsed); } catch (_) { /* ignore */ }\n }\n }\n }\n }\n }\n } catch (_) { /* end */ }\n }\n}\n\n\n",[],[272,344,360],[272,344],{"_102":369,"_95":370,"_151":371,"_153":273,"_154":136,"_155":372,"_157":158,"_104":373,"_99":32,"_160":161,"_162":-5,"_163":22,"_164":-5,"_165":374,"_98":385},"8fcad05a-78f1-11f0-831a-0224a6c84d84","experimental","8fcad140-78f1-11f0-831a-0224a6c84d84",42,["D",1755163934328],[375],{"_102":376,"_95":377,"_151":378,"_153":371,"_154":136,"_155":379,"_157":158,"_104":380,"_99":381,"_160":181,"_162":382,"_163":22,"_164":-5,"_165":383,"_98":384},"1cc6320a-86b3-11f0-acc6-0224a6c84d84","streaming.js","8ff7d352-78f1-11f0-89f1-0224a6c84d84",156,["D",1756676428837],7,"// Experimental streaming-related helpers extracted from chatterApp\n\nexport function isStreamingForCurrent(state) {\n const cid = state.currentChatId; if (!cid) return false;\n return !!(state.streamingChats && state.streamingChats[cid]);\n}\n\nexport function registerStream(state, chatId, token) {\n state.currentStreamToken = token;\n state.streamChatId = chatId;\n state.streamingChats[chatId] = { token, startedAt: Date.now() };\n}\n\nexport function unregisterStream(state, chatId, token) {\n const active = state.streamingChats[chatId];\n if (active && active.token === token) delete state.streamingChats[chatId];\n}\n\nimport { postChatStreamSSE, postChatStream, postGroqChat } from '../apiClient.js';\nimport { persistMessageAtIndex as corePersistMessageAtIndex } from '../core/chatCore.js';\n\n// Main streaming routine extracted from chatterApp\nexport async function streamAssistant(state) {\n const thisChatId = state.currentChatId; if (!thisChatId) return;\n if (state.streamingChats[thisChatId]) return;\n if (state.selectedModel === 'custom') {\n const url = (state.customChatBaseUrl || '').trim();\n if (!url) { state.errorMessage = 'please set custom endpoint url'; return; }\n }\n const token = String(Date.now()) + '-' + Math.random();\n registerStream(state, thisChatId, token);\n const assistantCreatedAt = Date.now();\n const promptLabel = (() => { try { return state.computeCurrentPromptLabel ? state.computeCurrentPromptLabel() : (state.currentTemplateLabel || 'custom'); } catch (_) { return 'custom'; } })();\n const assistantIndex = state.messages.push({ role: 'assistant', content: '', createdAt: assistantCreatedAt, chatId: thisChatId, model: state.selectedModel || null, promptLabel }) - 1;\n try {\n const id = await corePersistMessageAtIndex(state, assistantIndex);\n if (id) state.messages[assistantIndex].id = id;\n } catch (_) {}\n const assistantMessageId = state.messages?.[assistantIndex]?.id || null;\n let fullAssistantContent = '';\n let fullReasoningContent = '';\n if (assistantMessageId != null) {\n state.messageReasoningMap[assistantMessageId] = state.messageReasoningMap[assistantMessageId] || '';\n state.expandedReasoningMap[assistantMessageId] = state.expandedReasoningMap[assistantMessageId] || false;\n }\n try {\n const payload = {\n userApiKey: state.userApiKey,\n model: state.selectedModel,\n messages: (() => {\n const chatMessages = state.messages.map(m => ({ role: m.role, content: m.content }));\n // Priority: per-chat override > selected template in chat > global default\n const perChat = (state.chatPromptText || '').trim();\n const fromTemplate = (() => {\n // If a template was selected and no perChat override, use the stored text\n if (!perChat && state.chatPromptId && state.chatPromptText) return String(state.chatPromptText).trim();\n return '';\n })();\n const globalDefault = (state.systemPrompt || '').trim();\n const sp = perChat || fromTemplate || globalDefault;\n return sp ? [{ role: 'system', content: sp }, ...chatMessages] : chatMessages;\n })(),\n tools: (() => {\n const list = [];\n const isOss = !!(state.selectedModel && state.selectedModel.startsWith('openai/gpt-oss'));\n if (isOss) {\n if (state.useBrowserSearch) list.push({ type: 'browser_search' });\n if (state.useCodeInterpreter) list.push({ type: 'code_interpreter' });\n }\n return list;\n })(),\n stream: state.streamEnabled,\n temperature: state.temperature,\n ...(state.maxTokens ? { max_tokens: state.maxTokens } : {}),\n reasoning_effort: state.reasoningEffort,\n ...(state.jsonMode ? { response_format: { type: 'json_object' } } : {}),\n ...((state.selectedModel === 'custom' && state.customChatBaseUrl) ? { base_url: state.customChatBaseUrl } : {})\n };\n const response = await postChatStreamSSE(payload);\n if (!response.ok || !response.body) {\n let txt = ''; try { txt = await response.text(); } catch (_) {}\n throw new Error(txt || response.statusText);\n }\n const reader = response.body.getReader();\n const decoder = new TextDecoder();\n let buffer = '';\n while (true) {\n const { done, value } = await reader.read(); if (done) break;\n const active = state.streamingChats[thisChatId];\n if (!active || active.token !== token) { break; }\n buffer += decoder.decode(value, { stream: true });\n const chunks = buffer.split('\\n\\n'); buffer = chunks.pop() || '';\n for (const chunk of chunks) {\n if (!chunk.trim()) continue;\n const lines = chunk.split('\\n'); let currentEvent = 'message';\n for (const line of lines) {\n if (line.startsWith('event: ')) { currentEvent = line.slice(7).trim(); continue; }\n if (!line.startsWith('data: ')) continue;\n const data = line.slice(6);\n if (data === '[DONE]') continue;\n let parsed = null; try { parsed = JSON.parse(data); } catch (_) { parsed = null; }\n if (!parsed) continue;\n if (currentEvent === 'results') continue;\n const stillActive = state.streamingChats[thisChatId];\n if (!stillActive || stillActive.token !== token) { break; }\n const choice = Array.isArray(parsed.choices) ? parsed.choices[0] : null;\n const delta = choice && choice.delta ? choice.delta : {};\n if (delta.content) {\n fullAssistantContent += delta.content;\n if (assistantMessageId && state.db) {\n try {\n await state.db.messages.put({ id: assistantMessageId, chatId: thisChatId, createdAt: assistantCreatedAt, role: 'assistant', content: fullAssistantContent, reasoning: fullReasoningContent, model: state.selectedModel || null, promptLabel });\n } catch (_) {}\n }\n if (state.currentChatId === thisChatId) {\n const idx = (state.messages || []).findIndex(m => m && m.id === assistantMessageId);\n if (idx >= 0) state.messages[idx].content = fullAssistantContent;\n }\n }\n if (delta.reasoning) {\n const addition = String(delta.reasoning || '');\n fullReasoningContent += addition;\n if (assistantMessageId && state.db) {\n try {\n await state.db.messages.put({ id: assistantMessageId, chatId: thisChatId, createdAt: assistantCreatedAt, role: 'assistant', content: fullAssistantContent, reasoning: fullReasoningContent, model: state.selectedModel || null, promptLabel });\n } catch (_) {}\n }\n if (state.currentChatId === thisChatId && assistantMessageId != null) {\n const prev = state.messageReasoningMap[assistantMessageId] || '';\n state.messageReasoningMap[assistantMessageId] = prev + addition;\n state.queueScrollReasoningById && state.queueScrollReasoningById(assistantMessageId);\n }\n }\n const appendToolEvent = async (prefix, t) => {\n try {\n const name = t?.name || t?.tool || t?.function?.name || 'tool';\n const args = t?.arguments ?? t?.input ?? t?.params ?? null;\n const output = t?.output ?? t?.result ?? t?.content ?? null;\n const argsStr = args ? (typeof args === 'string' ? args : JSON.stringify(args)) : '';\n const outStr = output ? (typeof output === 'string' ? output : JSON.stringify(output)) : '';\n const maxLen = 400;\n const trimmedArgs = argsStr.length > maxLen ? (argsStr.slice(0, maxLen) + '…') : argsStr;\n const trimmedOut = outStr.length > maxLen ? (outStr.slice(0, maxLen) + '…') : outStr;\n const line = `[${prefix}] ${name}` + (trimmedArgs ? ` args: ${trimmedArgs}` : '') + (trimmedOut ? `\\n→ ${trimmedOut}` : '') + '\\n';\n fullReasoningContent += line;\n if (assistantMessageId && state.db) {\n try {\n await state.db.messages.put({ id: assistantMessageId, chatId: thisChatId, createdAt: assistantCreatedAt, role: 'assistant', content: fullAssistantContent, reasoning: fullReasoningContent, model: state.selectedModel || null, promptLabel });\n } catch (_) {}\n }\n if (state.currentChatId === thisChatId && assistantMessageId != null) {\n const prev = state.messageReasoningMap[assistantMessageId] || '';\n state.messageReasoningMap[assistantMessageId] = prev + line;\n state.queueScrollReasoningById && state.queueScrollReasoningById(assistantMessageId);\n }\n } catch (_) { /* ignore */ }\n };\n if (Array.isArray(delta.executed_tools)) { for (const t of delta.executed_tools) appendToolEvent('executed', t); }\n if (Array.isArray(delta.tool_calls)) { for (const t of delta.tool_calls) appendToolEvent('call', t); }\n }\n }\n }\n } catch (e) {\n state.errorMessage = e.message || String(e);\n } finally {\n unregisterStream(state, thisChatId, token);\n const stillActive = state.streamingChats[thisChatId];\n if (stillActive && stillActive.token !== token) return;\n try {\n const finalContent = String(fullAssistantContent || '').trim();\n const finalReasoning = String(fullReasoningContent || '');\n if (!finalContent) {\n state.errorMessage = state.errorMessage || 'no response from model';\n if (assistantMessageId && state.db) { try { await state.db.messages.delete(assistantMessageId); } catch (_) {} }\n try { const idx = (state.messages || []).findIndex(m => m && m.id === assistantMessageId); if (idx >= 0) state.messages.splice(idx, 1); } catch (_) {}\n return;\n }\n if (state.db && assistantMessageId) {\n await state.db.messages.update(assistantMessageId, { content: finalContent, reasoning: finalReasoning, promptLabel });\n }\n if (state.currentChatId === thisChatId) {\n const idx = (state.messages || []).findIndex(m => m && m.id === assistantMessageId);\n if (idx >= 0) {\n state.messages[idx].content = finalContent;\n const prev = state.messageReasoningMap[idx] || '';\n if (!prev || finalReasoning.length > prev.length) state.messageReasoningMap[assistantMessageId] = finalReasoning;\n }\n }\n } catch (_) {}\n try {\n const chatMeta = thisChatId ? await state.db.chats.get(thisChatId) : null;\n const hasDefault = !chatMeta?.title || /^new chat$/i.test(chatMeta.title);\n if (hasDefault) {\n const apiKey = state.userApiKey || null;\n const titlePrompt = (state.messages || []).slice(0, 8).map((m) => `${m.role}: ${m.content}`).join('\\n').slice(0, 1000);\n if (apiKey && titlePrompt.trim()) {\n let generated = '';\n try {\n const res = await postChatStream({\n userApiKey: apiKey,\n model: 'llama-3.1-8b-instant',\n stream: false,\n ...((state.selectedModel === 'custom' && state.customChatBaseUrl) ? { base_url: state.customChatBaseUrl } : {}),\n messages: [\n { role: 'system', content: 'Return ONLY a chat title of 2-3 words. No punctuation, no quotes, no emojis.' },\n { role: 'user', content: titlePrompt }\n ]\n });\n if (res.ok) {\n const data = await res.json();\n generated = (data?.collapsed?.content || '').trim();\n }\n } catch (_) { /* fall back to direct */ }\n if (!generated) {\n try {\n const res2 = await postGroqChat({\n apiKey,\n body: {\n model: 'llama-3.1-8b-instant',\n stream: false,\n messages: [\n { role: 'system', content: 'Return ONLY a chat title of 2-3 words. No punctuation, no quotes, no emojis.' },\n { role: 'user', content: titlePrompt }\n ]\n }\n });\n if (res2.ok) {\n const json2 = await res2.json();\n generated = (json2?.choices?.[0]?.message?.content || '').trim();\n }\n } catch (_) { /* ignore */ }\n }\n if (generated) {\n const cleaned = generated.replace(/^[\"'\\s]+|[\"'\\s]+$/g, '').split(/\\s+/).slice(0, 3).join(' ') || 'New chat';\n const id = thisChatId;\n const prev = id ? await state.db.chats.get(id) : null;\n if (id) {\n const defaultNewSlug = (typeof state.slugifyTitle === 'function') ? state.slugifyTitle('New chat') : 'new-chat';\n const prevSlug = prev?.slug ? String(prev.slug) : '';\n const computedSlug = (typeof state.slugifyTitle === 'function') ? state.slugifyTitle(cleaned) : cleaned.toLowerCase().replace(/[^a-z0-9]+/g, '-').replace(/^-+|-+$/g, '').replace(/-{2,}/g, '-');\n const slug = (!prevSlug || prevSlug === defaultNewSlug) ? computedSlug : prevSlug;\n const next = { ...prev, id, title: cleaned, slug, createdAt: prev?.createdAt || Date.now() };\n await state.db.chats.put(next);\n await (state.loadChats ? state.loadChats() : Promise.resolve());\n state.activeSearchId = id;\n try { state.navigateToChatPath && state.navigateToChatPath(id, true); } catch (_) { /* ignore */ }\n try { typeof state.updateDocumentTitle === 'function' && state.updateDocumentTitle(); } catch (_) { /* ignore */ }\n }\n }\n }\n }\n } catch (_) {}\n state.scrollToBottom && state.scrollToBottom();\n }\n}\n\n\n",[],[272,370,377],[272,370],{"_102":387,"_95":388,"_151":389,"_153":273,"_154":136,"_155":390,"_157":158,"_104":391,"_99":32,"_160":161,"_162":-5,"_163":22,"_164":-5,"_165":392,"_98":437},"bb01de58-8526-11f0-b189-0224a6c84d84","styles","bb01df34-8526-11f0-b189-0224a6c84d84",109,["D",1756506184078],[393,419,428],{"_102":394,"_95":395,"_151":396,"_153":389,"_154":136,"_155":397,"_157":158,"_104":398,"_99":32,"_160":161,"_162":-5,"_163":22,"_164":-5,"_165":399,"_98":418},"bb16b4b8-8526-11f0-87ed-0224a6c84d84","themes","bb16b58a-8526-11f0-87ed-0224a6c84d84",110,["D",1756506184252],[400,409],{"_102":401,"_95":402,"_151":403,"_153":396,"_154":136,"_155":404,"_157":158,"_104":405,"_99":200,"_160":290,"_162":406,"_163":22,"_164":-5,"_165":407,"_98":408},"388bf448-86ae-11f0-bb02-0224a6c84d84","_dark.scss","bb31f7aa-8526-11f0-a62c-0224a6c84d84",138,["D",1756674327933],"/* Dark theme variables and helpers */\n[data-theme=\"dark\"],\n.theme-dark {\n --color-bg: #0b0f19;\n --color-bg-elev: #0f172a;\n --color-text: #e5e7eb; /* gray-200 */\n --color-muted: #94a3b8; /* slate-400 */\n --color-border: #1f2937; /* gray-800 */\n}\n\n@media (prefers-color-scheme: dark) {\n :root:not([data-theme=\"light\"]) {\n --color-bg: #0b0f19;\n --color-bg-elev: #0f172a;\n --color-text: #e5e7eb;\n --color-muted: #94a3b8;\n --color-border: #1f2937;\n }\n}\n\n/* (removed erroneous debug style) */\n\n/* Sidebar hover/tool popovers and text/icon contrast inside surfaces */\n.surface .group-hover\\:bg-white\\/80 { background-color: rgba(255,255,255,0.06) !important; }\n.surface .hover\\:bg-gray-50:hover { background-color: rgba(255,255,255,0.06) !important; }\n.surface .hover\\:bg-gray-100:hover { background-color: rgba(255,255,255,0.08) !important; }\n.surface .text-gray-600 dark:text-gray-800 { color: #e5e7eb !important; }\n.surface .text-gray-700 { color: #cbd5e1 !important; }\n.surface .text-gray-600 { color: var(--color-muted) !important; }\n.surface .text-gray-500 { color: var(--color-muted) !important; }\n.surface .text-gray-400 { color: #9aa5b1 !important; }\n.surface .iconify { color: var(--color-muted) !important; }\n.surface .iconify.bg-dark { color: #e5e7eb !important; }\n.surface .bg-white { background-color: rgba(255, 255, 255, 0.06) !important; }\n// .surface .bg-gray-100 { background-color: rgba(255, 255, 255, 0.08) !important; }\n.surface .border-gray-300 { border-color: var(--color-border) !important; }\n.surface .border { border-color: var(--color-border) !important; }\n\n/* Sidebar item hover & active pills */\n.surface .hover\\:bg-gray-50:hover > span,\n.surface .hover\\:bg-gray-100:hover > span { color: var(--color-text) !important; }\n.surface .bg-gray-100.font-medium { background-color: rgba(255,255,255,0.10) !important; color: var(--color-text) !important; }\n\n/* User bubble styling to match elevated controls */\n.user-bubble {\n background-color: var(--color-bg-elev);\n color: var(--color-text);\n border: 1px solid var(--color-border);\n}\n\n/* Chat header title subtle lift */\n.chat-title { opacity: 0.96; }\n\n/* Message action buttons */\n.msg-actions .btn {\n background-color: var(--color-bg-elev);\n color: var(--color-text);\n border-color: var(--color-border);\n}\n\n/* Controls in the top chat bar */\n.chat-controls .ctrl-select,\n.chat-controls .ctrl-button {\n background-color: var(--color-bg-elev);\n color: var(--color-text);\n border-color: var(--color-border);\n}\n\n/* Sidebar header (Chatter) and header buttons */\n.surface .font-semibold, .surface .font-semibold a { color: var(--color-text) !important; }\n.surface .inline-flex button { border-color: var(--color-border) !important; }\n.surface .inline-flex button:hover { background-color: rgba(255,255,255,0.06) !important; }\n\n/* Composer/system prompt inputs */\n.composer textarea,\ntextarea[x-model=\"chatPromptText\"],\ntextarea[x-model=\"systemPrompt\"],\ntextarea[placeholder=\"Enter system prompt for this chat...\"],\ntextarea[placeholder=\"Enter a system prompt...\"],\ntextarea[placeholder=\"Type a message...\"] {\n background-color: var(--color-bg-elev);\n color: var(--color-text);\n border-color: var(--color-border);\n}\n.composer .send-btn { border-color: var(--color-border); }\n\n/* Settings header button */\n.token-button {\n background-color: var(--color-bg-elev);\n color: var(--color-text);\n border-color: var(--color-border);\n}\n.token-button:hover { filter: brightness(1.08); }\n\n/* Sidebar edit inputs (folder/chat rename) */\n.surface input[type=\"text\"] {\n background-color: var(--color-bg-elev);\n color: var(--color-text);\n border-color: var(--color-border);\n caret-color: var(--color-text);\n}\n\n.surface input[type=\"text\"]::placeholder {\n color: var(--color-muted);\n opacity: 0.7;\n}\n\n.surface input[type=\"text\"]:focus {\n outline: none;\n border-color: #60a5fa; /* blue-400 focus to match the app */\n box-shadow: 0 0 0 2px rgba(96, 165, 250, 0.35);\n}\n\n/* Chat reasoning toggle + block */\n.reasoning-container > button {\n color: var(--color-muted);\n}\n.reasoning-container > button:hover { color: #cbd5e1; }\n.reasoning-container > div {\n background-color: var(--color-bg-elev) !important;\n color: var(--color-text) !important;\n border-color: var(--color-border) !important;\n}\n.reasoning-container pre { color: var(--color-text); }",[],[272,388,395,402],{"_102":410,"_95":411,"_151":412,"_153":396,"_154":136,"_155":413,"_157":158,"_104":414,"_99":32,"_160":290,"_162":415,"_163":22,"_164":-5,"_165":416,"_98":417},"bb29b982-8526-11f0-bbb8-0224a6c84d84","_light.scss","bb29ba2c-8526-11f0-bbb8-0224a6c84d84",111,["D",1756506184376],"/* Light theme variables and helpers */\n:root,\n[data-theme=\"light\"],\n.theme-light {\n --color-bg: #f9fafb; /* gray-50 */\n --color-bg-elev: #ffffff;\n --color-text: #111827; /* gray-900 */\n --color-muted: #6b7280; /* gray-500 */\n --color-border: #e5e7eb; /* gray-200 */\n}\n\n\n",[],[272,388,395,411],[272,388,395],{"_102":420,"_95":421,"_151":422,"_153":389,"_154":136,"_155":423,"_157":158,"_104":424,"_99":200,"_160":290,"_162":425,"_163":22,"_164":-5,"_165":426,"_98":427},"3880cadc-86ae-11f0-9f42-0224a6c84d84","app.css","bb2eb9c8-8526-11f0-aad3-0224a6c84d84",136,["D",1756674327844]," \n/* Tailwind CDN is used for utilities; this file just provides tokens and light theming hooks */\n/* the app.css file is GENERATED; edit the app/scss file!! */\n\n/* Base tokens */\n:root {\n --font-body: 'Menlo', 'Monaco', 'Consolas', 'Liberation Mono', 'Courier New', monospace;\n --font-headings: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;\n --color-bg: #f9fafb; /* gray-50 */\n --color-bg-elev: #ffffff;\n --color-text: #111827; /* gray-900 */\n --color-muted: #6b7280; /* gray-500 */\n --color-border: #e5e7eb; /* gray-200 */\n}\n\n \n\n/* Light theme helper (explicit) */\n[data-theme=\"light\"],\n.theme-light {\n --color-bg: 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Calling Alpine.start() more than once can cause problems.\"),_r=!0,document.body||E(\"Unable to initialize. Trying to load Alpine before `` is available. Did you forget to add `defer` in Alpine's `\n \n \n \n \n \n \n \n \n\n \n \n\n \n\n \n\n \n\n\n

\n \n

\n Chatter\n

\n \n \n

\n \n

\n \n \n

\n \n

\n\n \n

\n \n

\n Settings\n \n

\n Get your free key here\n

\n API Key\n

\n \n \n

\n API Key\n

\n \n

\n \n \n

\n \n

\n\n \n

\n \n

\n model\n

\n \n

\n\n \n

\n temperature\n \n

\n \n

\n\n \n

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\n \n

\n\n \n

\n reasoning effort\n \n

\n\n \n

\n \n \n stream responses\n \n \n \n JSON mode\n \n \n \n browser search\n \n \n \n code interpreter\n \n

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\n system prompt (this chat)\n \n

\n \n

\n\n \n

\n\n

\n \n

\n\n \n

\n\n\n",[],[700],{"_102":709,"_95":710,"_151":711,"_153":-5,"_154":136,"_155":712,"_157":158,"_104":713,"_99":32,"_160":181,"_162":714,"_163":22,"_164":-5,"_165":715,"_98":716},"f77b21ce-7616-11f0-8f0c-0224a6c84d84","jsonUtils.js","f77b22e6-7616-11f0-8f0c-0224a6c84d84",15,["D",1754850144846],"// General JSON extraction/repair helper using Groq Chat Completions\n// Converts arbitrary text into a strict JSON object and returns the `results` array\nexport async function extractOrRepairJsonResults(rawText, apiKey, language = 'english') {\n const response = await fetch('https://api.groq.com/openai/v1/chat/completions', {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n 'Authorization': `Bearer ${apiKey}`,\n },\n body: JSON.stringify({\n model: 'openai/gpt-oss-120b',\n messages: [\n {\n role: 'system',\n content:\n 'You convert arbitrary text into a strict JSON object with a top-level `results` array. Return ONLY JSON, no markdown or comments. Output must already be sanitized: descriptions must be clean plain text with no citations (e.g., [1], (2)), no line numbers (e.g., L0:), no dagger symbols (†), no HTML, no code blocks, and no section headers. Descriptions must add new information beyond the title — never repeat or mirror the title. If a description would equal or start with the title, remove the title portion and ensure the remaining text adds value; if nothing remains, set description to null. Keep prose concise and readable.'\n },\n {\n role: 'user',\n content:\n 'Convert the following into ONLY valid JSON that matches the schema. If fields are missing, use null. Do not include markdown fences. In description, output plain text only (no citations, numbers-in-brackets, line numbers, or HTML). Present titles and descriptions in language: ' + String(language || 'english') + '\\n---\\n' + rawText\n }\n ],\n response_format: {\n type: 'json_schema',\n json_schema: {\n name: 'search_results',\n schema: {\n type: 'object',\n properties: {\n results: {\n type: 'array',\n items: {\n type: 'object',\n properties: {\n title: { type: 'string' },\n url: { type: 'string' },\n description: { type: ['string', 'null'] },\n source: { type: ['string', 'null'] },\n published_at: { type: ['string', 'null'] },\n comments: { type: ['number', 'null'] },\n pmid: { type: ['string', 'null'] },\n doi: { type: ['string', 'null'] }\n },\n required: ['title', 'url'],\n additionalProperties: false\n }\n }\n },\n required: ['results'],\n additionalProperties: false\n }\n }\n },\n stream: false\n }),\n });\n if (!response.ok) {\n const text = await response.text();\n throw new Error(`Groq API error: ${response.status} ${text}`);\n }\n const data = await response.json();\n const jsonText = data.choices?.[0]?.message?.content || '{}';\n try {\n const parsed = JSON.parse(jsonText);\n let results = Array.isArray(parsed?.results) ? parsed.results : [];\n return results;\n } catch (_) {\n return [];\n }\n}\n\n// Extract results strictly from tool outputs (ground truth URLs only)\n// The tool logs may include lines like \"URL: ...\", markdown lists, tables, or raw text.\n// This helper instructs the model to ONLY use URLs that appear in the provided text and never invent new ones.\nexport async function extractResultsFromToolOutputs(toolText, apiKey, language = 'english') {\n const response = await fetch('https://api.groq.com/openai/v1/chat/completions', {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n 'Authorization': `Bearer ${apiKey}`,\n },\n body: JSON.stringify({\n model: 'openai/gpt-oss-120b',\n messages: [\n {\n role: 'system',\n content:\n 'You will receive raw logs from browser tool executions that include titles and URLs. Critically: ONLY use URLs that literally appear in the logs. Do not fabricate or guess any URL. Produce a strict JSON object with a top-level `results` array. Each result should map a meaningful title to one of the URLs present in the logs. Prefer canonical deep links by rule: Hacker News → exact item permalink or the external article if explicitly listed; PubMed → PMID page; arXiv → /abs/; DOI → https://doi.org/...; Reddit/forums → exact thread permalink; GitHub → exact path to repo/issue/file/release. If a suitable title is not obvious, derive a concise one from nearby text. If description can be inferred, include a short clean sentence with no citations or artifacts; otherwise set description to null. Never include any URL not present in the logs.'\n },\n {\n role: 'user',\n content:\n 'From the following tool logs, extract results using ONLY URLs that occur in the text. Return ONLY valid JSON matching the schema. If fields are missing, use null. No markdown fences. Present titles and descriptions in language: ' + String(language || 'english') + '\\n---\\n' + toolText\n }\n ],\n response_format: {\n type: 'json_schema',\n json_schema: {\n name: 'search_results_from_tools',\n schema: {\n type: 'object',\n properties: {\n results: {\n type: 'array',\n items: {\n type: 'object',\n properties: {\n title: { type: 'string' },\n url: { type: 'string' },\n description: { type: ['string', 'null'] },\n source: { type: ['string', 'null'] },\n published_at: { type: ['string', 'null'] },\n comments: { type: ['number', 'null'] },\n pmid: { type: ['string', 'null'] },\n doi: { type: ['string', 'null'] }\n },\n required: ['title', 'url'],\n additionalProperties: false\n }\n }\n },\n required: ['results'],\n additionalProperties: false\n }\n }\n },\n stream: false\n }),\n });\n if (!response.ok) {\n const text = await response.text();\n throw new Error(`Groq API error: ${response.status} ${text}`);\n }\n const data = await response.json();\n const jsonText = data.choices?.[0]?.message?.content || '{}';\n try {\n const parsed = JSON.parse(jsonText);\n const results = Array.isArray(parsed?.results) ? parsed.results : [];\n return results;\n } catch (_) {\n return [];\n }\n}\n\n// Remove null/undefined optional fields so UI never shows pmid: null or doi: null\nexport function sanitizeResults(results) {\n if (!Array.isArray(results)) return [];\n return results.map((r) => {\n const cleaned = { ...r };\n for (const key of ['pmid', 'doi', 'description', 'source', 'published_at', 'comments']) {\n if (cleaned[key] === null || cleaned[key] === undefined) {\n delete cleaned[key];\n }\n }\n return cleaned;\n });\n}\n\n\n\n// Structured summary extraction to eliminate citation artifacts and enforce clean fields\nexport async function extractStructuredSummary(rawText, apiKey) {\n const response = await fetch('https://api.groq.com/openai/v1/chat/completions', {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n 'Authorization': `Bearer ${apiKey}`,\n },\n body: JSON.stringify({\n model: 'openai/gpt-oss-120b',\n messages: [\n {\n role: 'system',\n content:\n 'You convert arbitrary summary-like text into a strict JSON object describing the content. Return ONLY JSON, no markdown. Remove all citation artifacts (e.g., [1], (2), †), line numbers (e.g., L0:), and scraped UI fragments. Keep clean prose. Choose one type: research or general. For research, populate research_question, methods_and_findings, significance. For general, populate what_it_is, key_points (short bullet strings), and details. If any field would repeat or mirror the title or adds no value, set it to null. Keep text concise.'\n },\n {\n role: 'user',\n content:\n 'Normalize the following text into ONLY valid JSON matching the schema. No markdown fences, no HTML. Remove citations, numbers-in-brackets, line numbers, and artifacts.\\n---\\n' + rawText\n }\n ],\n response_format: {\n type: 'json_schema',\n json_schema: {\n name: 'structured_summary',\n schema: {\n type: 'object',\n properties: {\n type: { type: 'string', enum: ['general', 'research'] },\n general: {\n type: 'object',\n properties: {\n what_it_is: { type: 'string' },\n key_points: { type: 'array', items: { type: 'string' } },\n details: { type: 'string' }\n },\n additionalProperties: false\n },\n research: {\n type: 'object',\n properties: {\n research_question: { type: 'string' },\n methods_and_findings: { type: 'string' },\n significance: { type: 'string' }\n },\n additionalProperties: false\n }\n },\n required: ['type'],\n additionalProperties: false\n }\n }\n },\n stream: false\n }),\n });\n if (!response.ok) {\n const text = await response.text();\n throw new Error(`Groq API error: ${response.status} ${text}`);\n }\n const data = await response.json();\n const jsonText = data.choices?.[0]?.message?.content || '{}';\n try {\n const parsed = JSON.parse(jsonText);\n return parsed && typeof parsed === 'object' ? parsed : null;\n } catch (_) {\n return null;\n }\n}\n\nfunction escapeHtml(str) {\n if (!str) return '';\n return String(str)\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"')\n .replace(/'/g, ''');\n}\n\n// Deterministic HTML renderer for structured summary\nexport function renderStructuredSummaryToHtml(structured) {\n if (!structured || typeof structured !== 'object') return '';\n const type = structured.type;\n if (type === 'research' && structured.research) {\n const rq = escapeHtml(structured.research.research_question || '');\n const mf = escapeHtml(structured.research.methods_and_findings || '');\n const sg = escapeHtml(structured.research.significance || '');\n let html = '';\n if (rq) html += '

Research Question: ' + rq + '

';\n if (mf) html += '

Methods & Findings: ' + mf + '

';\n if (sg) html += '

Significance: ' + sg + '

';\n return html;\n }\n // default to general\n const general = structured.general || {};\n const what = escapeHtml(general.what_it_is || '');\n const details = escapeHtml(general.details || '');\n const points = Array.isArray(general.key_points) ? general.key_points : [];\n let html = '';\n if (what) html += '

What it is: ' + what + '

';\n if (points.length > 0) {\n html += '

Key points:

' + escapeHtml(p) + '

';\n }\n if (details) html += '

Details: ' + details + '

';\n return html;\n}\n\n\n// Synthesis fallback: produce results[] from mixed context (tool logs, assistant text, reasoning, existing results)\n// Only used when earlier parsing/repair yielded nothing or timed out\nexport async function synthesizeResultsFromContext(context, apiKey) {\n try {\n const {\n query = '',\n language = 'english',\n toolText = '',\n assistantText = '',\n reasoningText = '',\n existingResults = []\n } = context || {};\n\n const parts = [];\n if (query) parts.push('User query: ' + String(query));\n parts.push('Present titles and descriptions in language: ' + String(language || 'english'));\n if (Array.isArray(existingResults) && existingResults.length > 0) {\n parts.push('Existing results JSON (may be empty or partial): ' + JSON.stringify({ results: existingResults }));\n }\n if (toolText && String(toolText).trim()) parts.push('Tool logs:\\n' + String(toolText));\n if (assistantText && String(assistantText).trim()) parts.push('Assistant text:\\n' + String(assistantText));\n if (reasoningText && String(reasoningText).trim()) parts.push('Reasoning text:\\n' + String(reasoningText));\n\n const response = await fetch('https://api.groq.com/openai/v1/chat/completions', {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n 'Authorization': `Bearer ${apiKey}`,\n },\n body: JSON.stringify({\n model: 'openai/gpt-oss-120b',\n messages: [\n {\n role: 'system',\n content: 'Synthesize a strict JSON search results list from provided context. CRITICAL: Prefer URLs that literally occur in tool logs or assistant text; avoid fabricating. Apply canonical link rules (HN item or external, PubMed PMID, arXiv /abs, DOI resolver, exact thread permalinks, precise GitHub paths). Descriptions must be clean plain text without citations (no [1], (2), L0:, †), HTML, or code fences, and must add info beyond the title. Present titles and descriptions in the requested language.'\n },\n {\n role: 'user',\n content: parts.join('\\n\\n')\n }\n ],\n response_format: {\n type: 'json_schema',\n json_schema: {\n name: 'search_results_synthesis',\n schema: {\n type: 'object',\n properties: {\n results: {\n type: 'array',\n items: {\n type: 'object',\n properties: {\n title: { type: 'string' },\n url: { type: 'string' },\n description: { type: ['string', 'null'] },\n source: { type: ['string', 'null'] },\n published_at: { type: ['string', 'null'] },\n comments: { type: ['number', 'null'] },\n pmid: { type: ['string', 'null'] },\n doi: { type: ['string', 'null'] }\n },\n required: ['title', 'url'],\n additionalProperties: false\n }\n }\n },\n required: ['results'],\n additionalProperties: false\n }\n }\n },\n stream: false\n })\n });\n if (!response.ok) {\n try { console.error('synthesizeResultsFromContext error:', await response.text()); } catch (_) {}\n return [];\n }\n const data = await response.json();\n const jsonText = data.choices?.[0]?.message?.content || '{}';\n try {\n const parsed = JSON.parse(jsonText);\n return Array.isArray(parsed?.results) ? parsed.results : [];\n } catch (_) {\n return [];\n }\n } catch (_err) {\n return [];\n }\n}\n\n// Synthesis fallback: produce concise plain-text answer from context (used when router selects text or lists fail)\nexport async function synthesizeTextFromContext(context, apiKey) {\n try {\n const {\n query = '',\n language = 'english',\n toolText = '',\n assistantText = '',\n reasoningText = ''\n } = context || {};\n\n const parts = [];\n if (query) parts.push('User query: ' + String(query));\n parts.push('Respond in language: ' + String(language || 'english'));\n if (toolText && String(toolText).trim()) parts.push('Tool logs:\\n' + String(toolText));\n if (assistantText && String(assistantText).trim()) parts.push('Assistant text:\\n' + String(assistantText));\n if (reasoningText && String(reasoningText).trim()) parts.push('Reasoning text:\\n' + String(reasoningText));\n\n const response = await fetch('https://api.groq.com/openai/v1/chat/completions', {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n 'Authorization': `Bearer ${apiKey}`,\n },\n body: JSON.stringify({\n model: 'openai/gpt-oss-120b',\n messages: [\n {\n role: 'system',\n content: 'Answer the user clearly and concisely using only the provided context. Return plain text only (no markdown fences). Remove any citations, numbers-in-brackets, line numbers, and artifacts. If unsure, say so briefly.'\n },\n { role: 'user', content: parts.join('\\n\\n') }\n ],\n stream: false\n })\n });\n if (!response.ok) {\n try { console.error('synthesizeTextFromContext error:', await response.text()); } catch (_) {}\n return '';\n }\n const data = await response.json();\n const text = data.choices?.[0]?.message?.content || '';\n return String(text || '').trim();\n } catch (_err) {\n return '';\n }\n}\n",[],[710],{"_102":718,"_95":719,"_151":720,"_153":-5,"_154":136,"_155":721,"_157":158,"_104":722,"_99":180,"_160":723,"_162":724,"_163":22,"_164":96,"_165":725,"_98":726},"0439f510-7758-11f0-93f7-0224a6c84d84","main.js","f69a1b0c-7616-11f0-8f0c-0224a6c84d84",33,["D",1754988036009],"http","import \"jsr:@std/dotenv/load\";\nimport { createApp } from './backend/index.js';\n\nconst app = createApp(import.meta.url);\n\n// Export app.fetch for Val Town, otherwise export app — this is only for hono apps\nexport default (typeof Deno !== \"undefined\" && Deno.env.get(\"valtown\")) ? app.fetch : app;\n\n\n",[],[719],{"_102":728,"_95":729,"_151":730,"_153":-5,"_154":136,"_155":731,"_157":158,"_104":732,"_99":733,"_160":290,"_162":734,"_163":22,"_164":-5,"_165":735,"_98":736},"cd8b86d6-931e-11f0-867b-0224a6c84d84","notes.md","041e99e6-7758-11f0-81b1-0224a6c84d84",185,["D",1758042095514],14,"\non deck\n\n\nrandom features\n- new data model\n - multiple response toggling\n - branching tree chats / multiple chat trees?\n - multiple chat like v0 - either columnar (v0) or with some kind of context flipping <-- --> kind of thing\n - can generate multiple paths; each branch can be named automatically with the auto-namer\n - creates mutliple chat grids\n - multiple text +/- text area section??\n - multiple system prompts?\n\n\n\n- design\n - template for repeat phrasing (like the buttons/user prompts initially in chat gpt; but you can program them to push a button and it'll show at the bottom to click, like a quick way to enter stuff repeatedly)\n\n\n\n\nmedium features\n- context preservation\n - summarizer: summarizes key things succinctly into system prompt\n - trailing: feed summarizer and k-latest prompts\n- nicer upload area\n - add image upload\n - add file upload?\n - voice? \n - use the much nicer invoice one\n - add whisper transcription (from another val)\n- self-writing summary/notes system\n - has own system prompt, model selector, etc\n- long-term memory / offload memory?\n - durable object or valtown based link sharing?\n- mcp support?\n- support for \"re-search\" tool from before?\n\n\n\n- different interfaces\n - text notes\n - jan-like \"assistants\"\n - templates w/ preset prompts, settings, and variable input forms you type in, for future generations, like parameters\n - spin-off / sub-bot / picture in picture; eg spin another one up as a temp to ask some questions; an untracked one?\n\nbig features\n- multiplayer chats? i guess id-based consistent, resumable session chats\n- copy the shit out of heynote design for \"multiple-area\" design on same page\n- system settings\n - text size slider (four options)\n - system color\n - font choices\n\n\ndirector system / [ cognitive load manager ]\n- breaks down into \"chapters\"\n- some kind of \"controller / director\" that overwatches conversations\n - can generate spec sheets (like a dm's world sheet) eg random encounters / monsters that makes things more interesting (like a real role play)\n - can add some randomness\n - can be given random tools like dice throws (like a dm system) to add some variety\n\n\n\nrpg game concepts\n- chaptered games w/ a baseline world\n- day/night/cyclical games ([day: go hunt/forage/trade; night: rest, build], [day: rebuild; night: fend off zombies/attackes])\n - can do a game around trading / building / space travel, but you talk/trade w/ people\n\n\n\n\n\n\ndone\n- [x] right sidebar for collapsible accordions\n- [x] notes section? (for copy/paste for example)\n- [x] top/bottom chrome should be full width\n- [x] position send area relative to bottom and float on top of everything; make the text output naturally flow with the document instead of a scroll area right now\n- [x] [nah: lets do left side only for now] chat tabs across the top, like chrome or rest fox?!?!?!?!\n- [x] system message should NOT be auto generatlized across all; should be specific to chat \n- [x] copy entire page / thread / export entire thread data\n- [x] custom endpoints / switch out llm url, including localhost\n- [x] show model + preset name by response?\n- [x] [nah idk; seems to work] did custom endpoints get borked?\n- [x] switch to jobs mode: background running + tabs / multiple running instances\n- [x] switch out settings button with a Dropdown preset switcher and a settings button side by side for faster switching\n- [x] cmd shift up/down to switch previews quickly\n- [x] show the preset name and the model name for each chat (or custom if custom)\n- [x] dark mode + multiple mode support (scoped scss?)\n- [x] decouple system settings with each chat with templates; system template managements\n- [x] export / import presets\n- [x] chat settings should be tied to each chat; including linked presets (preset ids)\n- [x] sidebar desktop duplicated after refactor\n- [x] cmd option r for rerun lmao\n- [x] updated head title for chat titles\n- [x] duplicate button in left bar\n- [x] cmd-r for re-running latest ai chat\n- [x] preset settings\n- [x] each chat has its own settings\n- [x] also put a rerun on the output message so that output message is replaced (keep both buttons)\n- [x] move settings to a right slide bar\n- [x] system prompt templates\n - [x] crud system\n- [x] alpine component refactor\n- [x] save / load / import to restore all data\n- [x] /new to go straight to new\n- [x] chats have ids / slugs, so you can do /?id=whatever-chat-id\n- [x] key mappings\n - [x] cmd-option n for new\n - [x] cmd/ctrl-b to toggle side bar\n - [x] cmd/ctrl-shift-b for the settings area\n- [x] branching / forking into another chat instance\n- [x] edit button instead of double click to edit\n - [x] editing the user thing changes the width; can it somehow edit in place without changing the width / flow?\n- [x] refactor research app\n- [x] make left settings folder/new/hide into icons\n - [x] fix the hidden icon bug\n- [x] create a new chat in sidebar\n- [x] folders in sidebar\n- [x] resizable sidebar\n- [x] delete below\n- [x] delete individual messages\n- [x] re-run a user prompt / re-run an ai response\n- [~] [nah] save/discard for editing, like lmstudio? \n- [x] \"delete below\" should delete anything below, but not the current message\n\n\n\n\nother notes\n- system prompts as modes / mods to messages; eg if a character role play, to try to be nice, or angry; eg personalities to switch on/off\n- \n- templated system prompt that’s modular like lmstudio notes\n - can show/hide them for fast switching\n- tool calling\n - ability to call other systems\n- each bundle of settings is an “agent” for convenience; can be separated from the ui and swapped out, like lmstudio kind of, but have a small mgmt system like chat management\n- dynamic systems prompt, eg a system prompt for a system that summarizes the world knowledge, or notes, or logs all actions; these can all be several tools that automatically run and append to a system prompt\n- simple data system vs immerjs time travel system (have this example elsewhere)\n- reusable non system prompts\n - fill in the blank (like anthropic ui)\n - or just straight up text you can @notes any time\n - (eg messages you want to use to prime actions / stories; could be reusable messages or tag existing message logs\n - maybe each message log can get a uuid taggable, or even slug\n- you have chats (intentional interactions) and runs (like temporal, can be non user runs); should be able to manage all of that\n- email interface to manage all of of runs and chats\n- maybe interface for automations in general like coverflow\n- folders can have default modes/settings for chats started in them\n- “cards” system from silly tavern\n- professional role play situations (borrowing from silly tavern)\n- bots: reusable settings/combos; can call others to create a more complex workflow \n- json schema support for constrained responses?!\n - eg status, items, key settings and metadata, health/damage\n - for ui generation or card data gen\n\n- *** look at anthropic reference mcp server for memory\n\nJan.ai “assistant” bot",[],[729],{"_102":738,"_95":739,"_151":740,"_153":-5,"_154":136,"_155":381,"_157":158,"_104":741,"_99":32,"_160":290,"_162":742,"_163":22,"_164":-5,"_165":743,"_98":744},"f68f5f46-7616-11f0-9fe5-0224a6c84d84","readme.md","f68f6036-7616-11f0-9fe5-0224a6c84d84",["D",1754850144638],"### (re)Search — Groq demo\n\nTiny, no-nonsense demo for Groq: search the web and papers, then get clean summaries.\n\n- Search with optional source/date filters\n- Streams model reasoning/tools (SSE)\n- Returns tight JSON (deep links + one-line descriptions)\n- One‑click page summaries in your language\n\n### Run\n\n```sh\ndeno run -A smallweb/re-search/main.js \n```\n\nOpen http://localhost:8000 and paste your API key if the server doesn’t have one.\n\nPowered by Groq — get a key at 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