Tool descriptions now explicitly state when models should use them:
- Memory Store: 'Use when user asks to remember, recall, list memories'
- Task Manager: 'Use when user mentions tasks, todos, things to do'
- Structured Thinking: 'Use for complex questions requiring analysis'
- Decision Matrix: 'Use when comparing options or recommendations'
- Project Planner: 'Use for planning, roadmaps, breaking work into phases'
This helps smaller models understand WHEN to call these tools instead of
just responding with text claiming they don't have memory/capabilities.
When the model calls recall without key or category (e.g., 'what memories
do you have?'), it now returns all memories across all categories instead
of an error. This provides better UX since models often use recall instead
of list for memory queries.
- Add validation for missing key/value in store action
- Return formatted entries in recall (category only) - consistent with list
- Check if category exists before reporting success in forget
- Include value in store response for confirmation
- Include entriesRemoved count when forgetting a category
The list action was only returning keys and counts, not the actual
stored values. Now it returns full entries with key, value, and
stored timestamp for all memories.
Models like ministral output tool calls as plain text (e.g., tool_name[ARGS]{json})
instead of using Ollama's native tool_calls format. This adds a parser that:
- Detects text-based tool call patterns in model output
- Converts them to OllamaToolCall format for execution
- Cleans the raw tool call text from the message
- Shows proper ToolCallDisplay UI with styled output
Supports three formats:
- tool_name[ARGS]{json}
- <tool_call>{"name": "...", "arguments": {...}}</tool_call>
- {"tool_calls": [...]} JSON blobs
- Add curated prompt templates with categories (coding, writing, analysis,
creative, assistant) that users can browse and add to their library
- Add "Browse Templates" tab to the Prompts page with category filtering
and preview functionality
- Add Design Brief Generator tool template for creating structured design
briefs from project requirements
- Add Color Palette Generator tool template for generating harmonious
color schemes from a base color
Prompts included: Code Reviewer, Refactoring Expert, Debug Assistant,
API Designer, SQL Expert, Technical Writer, Marketing Copywriter,
UI/UX Advisor, Security Auditor, Data Analyst, Creative Brainstormer,
Storyteller, Concise Assistant, Patient Teacher, Devil's Advocate,
Meeting Summarizer
Adds the ability to test HTTP endpoint custom tools directly in the
editor, matching the existing test functionality for Python and
JavaScript tools. Closes #6.
- Limit max attachments to 5 files to prevent context overflow
- Fix URL update timing: use SvelteKit's replaceState in onComplete
callback instead of history.replaceState before streaming
- Load attachment content from IndexedDB in conversation history
so follow-up messages have access to file content
- Show error messages in chat when Ollama fails instead of stuck
"Processing..." indicator
- Force file analysis when >3 files attached to reduce context usage
Clear 'Processing...' text only when first token arrives, not before
the LLM request. This keeps the indicator visible during prompt
resolution, RAG retrieval, and LLM initialization.
- Add "Processing X files..." indicator in chat while handling attachments
- Indicator transitions to "Analyzing X files..." for large files needing LLM summarization
- Reuse streaming message for seamless transition to LLM response
- Add FileAnalyzer service for large file summarization with 10s timeout
- Skip analysis for borderline files (within 20% of 8K threshold)
- Read up to 50KB from original file for analysis (not just truncated content)
- Remove base64 blobs from JSON before analysis to reduce prompt size
- Add AttachmentDisplay component for showing file badges on messages
- Persist attachments to IndexedDB with message references
- Add chat state methods: setStreamContent, removeMessage
- Clean up debug logging
- Add postinstall script to copy worker to static/
- Update Dockerfile to copy worker during build
- Update file-processor to try local worker first, fallback to CDN
- Bump version to 0.4.11
Adds two related features for enhanced model customization:
**Model-Specific System Prompts:**
- Assign prompts to models via Settings > Model Prompts
- Capability-based default prompts (vision, tools, thinking, code)
- Auto-select appropriate prompt when switching models in chat
- Per-model prompt mappings stored in IndexedDB
**Custom Ollama Model Creation:**
- Create custom models with embedded system prompts via Models page
- Edit system prompts of existing custom models
- Streaming progress during model creation
- Visual "Custom" badge for models with embedded prompts
- Backend handler for Ollama /api/create endpoint
New files:
- ModelEditorDialog.svelte: Create/edit dialog for custom models
- model-creation.svelte.ts: State management for model operations
- model-prompt-mappings.svelte.ts: Model-to-prompt mapping store
- model-info-service.ts: Fetches and caches model info from Ollama
- modelfile-parser.ts: Parses system prompts from Modelfiles
Custom tools were displayed as enabled in the UI but never sent to
Ollama because getEnabledToolDefinitions() only queried the builtin
tool registry. Now iterates customTools and includes enabled ones.
Fixes #4
- Fix TypeError when check updates returns null updates array
- Display verified capabilities from Ollama runtime in Local Models tab
- Fetch all model capabilities on page mount
- Add data-dev to gitignore
- Add capability verification for installed models using /api/show
- SyncModels now updates real capabilities when fetchDetails=true
- Model browser shows verified/unverified badges for capabilities
- Add info notice that capabilities are sourced from ollama.com
- Fix incorrect capability data (e.g., deepseek-r1 "tools" badge)
Capabilities from ollama.com website may be inaccurate. Once a model
is installed, Vessel fetches actual capabilities from Ollama runtime
and displays a "verified" badge in the model details panel.
- Add size filter (≤3B, 4-13B, 14-70B, >70B) based on model tags
- Add model family filter dropdown with dynamic family list
- Display last updated date on model cards (scraped from ollama.com)
- Add /api/v1/models/remote/families endpoint
- Convert relative time strings ("2 weeks ago") to timestamps during sync
- Add customMaxTokens override to ContextManager
- maxTokens is now derived from custom override or model default
- ChatWindow syncs settings.num_ctx to context manager
- Progress bar now shows custom context length when enabled
- Fetch actual model defaults from Ollama's /api/show endpoint
- Parse YAML-like parameters field (e.g., "temperature 0.7")
- Cache model defaults to avoid repeated API calls
- Initialize sliders with model's actual values when enabling custom params
- Show asterisk indicator when parameter differs from model default
- Reset button now restores to model defaults, not hardcoded values
Tool usage was not showing after page reload because the toolCalls
field was not being included when saving assistant messages to the
database. Now toolCalls are properly persisted and restored.
- Add CodeMirror editor with syntax highlighting for JavaScript and Python
- Add 8 starter templates (4 JS, 4 Python) for common tool patterns
- Add inline documentation panel with language-specific guidance
- Add tool testing UI to run tools with sample inputs before saving
- Add Python tool execution via backend API with 30s timeout
- Add POST /api/v1/tools/execute endpoint for backend tool execution
- Update Dockerfile to include Python 3 for tool execution
- Bump version to 0.4.0
Backend:
- Add /api/v1/version endpoint returning current and latest version
- Fetch latest release from GitHub API with 1-hour cache
- Semver comparison to detect available updates
- Configurable via GITHUB_REPO env var (default: vikingowl/vessel)
Frontend:
- Add VersionState store with 12-hour periodic checking
- Check on app load and periodically for new versions
- Persist dismissed versions in localStorage
- Add UpdateBanner component with teal styling
- Slide-in animation from top, dismissible
The notification appears below TopNav when a new version is available
and remembers dismissals per-version across sessions.
- Remove curl --max-filesize to avoid hard failures on large pages
- Add Truncated/OriginalSize fields to FetchResult for all fetch methods
- Return truncation info in proxy response (truncated, originalSize, returnedSize)
- Add timeout parameter to fetch_url tool (default 30s, max 120s)
- Increase default maxLength from 5KB to 50KB, allow up to 2MB
- Include _hint in response guiding LLM to retry with larger maxLength
Instead of failing when content exceeds limits, the tool now returns
truncated content with guidance for the LLM to request more if needed.
Auto-scroll now stops when the top of the assistant's response
reaches the top of the viewport, allowing users to read from
the beginning while more content streams below.
The SvelteKit hooks proxy was only forwarding pathname without
the query string (event.url.search), causing filters and pagination
to be silently dropped in production builds.
SvelteKit production build needs server-side request handling
since Vite's dev proxy isn't available. The hooks.server.ts file
proxies:
- /api/v1/* -> backend service
- /api/* -> Ollama service
- /health -> backend health check
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- Parse search results into structured data with SearchResultItem type
- Render expanded results as clickable cards with:
- Numbered rank badges
- Linked titles (open in new tab)
- Truncated URLs
- Snippets when available
- Fallback to raw text for non-search results
- Proper light/dark mode styling
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- MessageContent: Make prose-invert conditional (dark:prose-invert)
and use !important on inline code colors to override Typography
- ToolCallDisplay: Replace theme variables with explicit Tailwind
dark/light classes for reliable styling
- ToolResultDisplay: Same treatment - explicit slate colors for
both light and dark modes
All components now properly respect light/dark mode toggle.
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- CodeBlock: Use consistent dark styling (github-dark theme colors)
regardless of light/dark app theme to match Shiki output
- MessageContent: Detect JSON tool call objects in message content
and render them as formatted code blocks instead of prose
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- Use border-theme-subtle for softer border in dark mode
- Use bg-theme-tertiary/50 for better dark mode background
- Update text colors for proper contrast
- Change focus color from emerald to violet (branding)
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- Update package.json name to "vessel"
- Update storage keys (vessel-settings, vessel IndexedDB)
- Update Go module to vessel-backend with new imports
- Update database path to vessel.db
- Add new Vessel "V" icon (favicon + app icons)
- Update all user-facing branding (titles, sidebar, settings)
- Update docker-compose files with vessel naming and network
- Change accent color from emerald to violet
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- Increase light mode text contrast in app.css (slate.600→700, slate.500→600)
- Add light/dark mode prose styles in MessageContent.svelte for proper markdown rendering
- Convert hardcoded slate-* classes to theme utilities across 37 components
- Fix code block copy button and scrollbar theming for both modes
- Update all route pages (models, tools, knowledge, prompts) with theme classes
- Ensure consistent theming in modals, dialogs, and form inputs
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- Add CSS custom properties for theme colors (:root and .dark)
- Create utility classes: bg-theme-*, text-theme-*, border-theme-*
- Update +layout.svelte main containers
- Update Sidenav with theme-aware navigation links
- Update TopNav header and action buttons
- Update ChatWindow main area and input section
- Update ChatInput with themed input container
- Update MessageItem with theme-aware message bubbles
- Update EmptyState with themed welcome cards
Theme colors automatically switch between light and dark mode
when clicking the theme toggle button in the top navigation.
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- Add onSelect callback to SystemPromptSelector for 'new' mode
- Track selected prompt locally (newChatPromptId) before conversation exists
- Show selector in both 'new' and 'conversation' modes
- Apply newChatPromptId when streaming in new conversation
Note: Theme toggle mechanism works but CSS lacks light mode styles
(app uses hardcoded dark colors, would need CSS refactoring)
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Context Window Management:
- Add ContextFullModal with recovery options (summarize, new chat, dismiss)
- Show toast notifications at 85% and 95% context thresholds
- Block sending when context exceeds 100% until user takes action
Conversation Summarization:
- Add isSummarized/isSummary flags to Message type
- Implement markAsSummarized() and insertSummaryMessage() in ChatState
- Add messagesForContext derived state (excludes summarized, includes summaries)
- Complete handleSummarize flow with LLM summary generation
- Add amber-styled summary message UI with archive icon
Auto-scroll Fixes:
- Fix Svelte 5 reactivity issues by using plain variables instead of $state
- Add continuous scroll during streaming via streamBuffer tracking
- Properly handle user scroll override (re-enable at bottom)
Drag & Drop Improvements:
- Add full-screen drag overlay with document-level event listeners
- Use dragCounter pattern for reliable nested element detection
- Add hideDropZone prop to FileUpload/ImageUpload components
Additional Features:
- Add SystemPromptSelector for per-conversation prompts
- Add SearchModal for full-text message search
- Add ShortcutsModal for keyboard shortcuts help
- Add theme toggle to TopNav
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Implement four major features for the Ollama WebUI:
1. Streaming Stats - Real-time performance metrics display
- Tokens per second, time to first token, total tokens
- Fade-out display after stream completion
- New streaming-metrics.svelte.ts store and StreamingStats component
2. Settings Panel - Model parameter configuration
- Temperature, top_k, top_p, num_ctx sliders
- localStorage persistence for global defaults
- Collapsible panel in chat window with gear icon toggle
3. Model Management - Pull/delete models from UI
- Add pullModel() and deleteModel() methods to Ollama client
- Progress tracking with speed and ETA calculations
- PullModelDialog component and model-operations store
4. Export/Import - Full conversation backup/restore
- JSON export with full fidelity, Markdown for readability
- Import validation with error/warning display
- Export button in conversation items, import in sidebar header
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Fix memory leaks in ui.svelte.ts and sync-manager.svelte.ts by storing
bound function references for proper addEventListener/removeEventListener
- Make conversation action buttons visible on mobile (opacity-100 when isMobile)
- Replace silent console.error calls with toast notifications for user feedback
- Remove ~35 debug console.log statements from production code
Files: ui.svelte.ts, sync-manager.svelte.ts, ConversationItem.svelte,
ChatWindow.svelte, CodeBlock.svelte, MessageActions.svelte,
MessageContent.svelte, +page.svelte, builtin.ts
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Testing:
- Add vitest with jsdom environment for unit testing
- Create 61 comprehensive tests for keyboard shortcuts
- Add test helpers for platform switching and key simulation
- Mock SvelteKit $app modules for testing
Fix:
- Change Windows/Linux shortcuts from Ctrl to Alt to avoid
browser shortcut conflicts (Ctrl+N opens new browser window)
- Mac shortcuts remain Cmd+N/K/B (unaffected)
New shortcuts on Windows/Linux:
- Alt+N: New chat
- Alt+K: Search conversations
- Alt+B: Toggle sidebar
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Backend:
- Add local models API with filter, sort, and pagination
- Add grouped chats endpoint for date-based display
- Support search, family filtering, and multi-field sorting
Frontend:
- Add model registry store with backend-powered operations
- Add server conversations store for future backend queries
- Fix sidenav to use local state for immediate updates on
conversation create/delete (offline-first architecture)
- Fix date display in conversation items (remove duplicate
Date constructor call)
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- Add model registry backend that scrapes ollama.com library page
- Extract capabilities (vision, tools, thinking, embedding, cloud) from HTML
- Store models in SQLite with search, filter by type and capabilities
- Add tag sizes fetching from individual model pages
- Create Model Browser UI with search, filters, and pagination
- Implement streaming model pull with progress bar
- Auto-refresh model selector and select new model after pull
- Add cloud capability detection (uses different HTML pattern)
- Update Go version to 1.24 in Dockerfile
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Backend:
- Add unified URL fetcher with fallback chain: curl → wget → native Go → headless Chrome
- Implement JS-rendered page detection for sites like docs.rs
- Add chromedp dependency for headless browser support
- Log fetch method on server startup
Frontend:
- Store tool results in structured ToolCall.result field instead of message content
- Show tool results collapsed by default in ToolCallDisplay
- Add expandable results section with truncation for large outputs
- Add Message.hidden flag for internal messages (tool context)
- Separate visibleMessages (UI) from allMessages (API) to fix infinite loop
- Fix tool result messages not being sent to model
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add <svelte:head> to set browser tab title on both new chat and conversation pages
- Update tab title dynamically when smart title is generated
- Add debug logging to trace title generation flow
- Make title generation more robust:
- Fall back to user message if assistant content is only thinking
- Strip thinking blocks from title generation response
- Remove common prefixes like "Title:"
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Thinking mode:
- Add native Ollama `think: true` API parameter support
- Create ThinkingBlock component with collapsible UI and streaming indicator
- Allow expanding/collapsing thinking blocks during streaming
- Pass showThinking prop through component chain to hide when disabled
- Auto-generate smart chat titles using LLM after first response
File uploads:
- Add FileUpload component supporting images, text files, and PDFs
- Create FilePreview component for non-image attachments
- Add file-processor utility for text extraction and PDF parsing
- Text/PDF content injected as context for all models
Model capabilities:
- Add ModelCapabilityIcons component showing vision/tools/code badges
- Detect model capabilities from name patterns in models store
- Display capability icons in model selector dropdown
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- Textarea no longer disabled during streaming (only sending is blocked)
- User can prepare their next message while LLM is responding
- Focus maintained on input after sending a message
- Image upload also enabled during streaming
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- ConversationItem now navigates to / when deleting the currently active chat
- Added text selection styling (violet highlight) for better visibility in dark theme
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Modernize chat UI with dark slate palette and subtle styling
- Add interactive quick-start prompt cards that set system prompts
- Clear temporary prompt when starting new chat
- Fix scroll jumping during streaming by skipping Shiki highlighting
- Improve code block styling with CSS containment
- Fix doubled newlines in code blocks (Shiki .line display: inline)
- Simplify success badge in execution output
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