The project had two overlapping directories: desktop/ (Tauri Rust backend +
stale React components) and frontend/ (real React app + dead Tauri stub).
This consolidates everything under frontend/:
- Move desktop/src-tauri/ → frontend/src-tauri/ (the real 1,720-line Rust
backend with Ollama sidecar, backend lifecycle, cloud keys, overlay, etc.)
- Preserve 9 old desktop React components in frontend/src/components/Desktop/
(excluded from TS build — APIs have drifted, kept for future integration)
- Delete the old frontend/src-tauri/ stub (246 lines, never compiled)
- Delete desktop/ entirely
- Fix tauri.conf.json frontendDist path (../../frontend/dist → ../dist)
- Update CI workflow, bump script, .gitignore, and docs paths
- Rename setup/ → Setup/ for consistent PascalCase component directories
- Skip SetupWizard on launch, go straight to Chat page
- Add Data Sources page with sidebar nav (separate tabs for data sources + messaging channels)
- Add "Connect your data" banner + quick-action buttons on Chat empty state
- Add hint on deep research agent pointing to Data Sources + Messaging tabs
- Consistent naming: "Data Sources" and "Messaging Channels" everywhere
- Fix Apple Notes / iMessage setup (remove broken system prefs link)
- Fix Slack data source: auto-join public channels, rate limit retry, is_member filter
- Add channels:join scope to all Slack manifests + docs
- Fix Gmail: use gmail_imap connector (IMAP + app password), increase limit to 5000
- Fix sync endpoint: run in background thread, return immediately
- Show sync progress with progress bar, error messages, Sync Now / Re-sync / Retry buttons
- Add triggerSync() API + SyncStatusDisplay component
- Rewrite all connector setup instructions with precise click-by-click steps
- Notion: share all pages at once via top-level page sharing
- Obsidian: show how to find vault path via Obsidian UI or Finder
- SendBlue: add link to API Credentials page, add ngrok webhook step
- Slack messaging: add Copy button for JSON manifest
- Add OpenJarvis Slack icon asset
- Shorten deep research template description
- Fix desktop app port (8222 → 8000 to match server default)
- Disable auto-updater for local dev builds
- Register Slack, Outlook, GCalendar connectors in __init__.py
- Auto-create default agent when setting up messaging channels
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Adds StepByStepPanel component to SourceConnectFlow that renders numbered
setup steps with optional links and input fields for each connector. Wires
it as the primary panel for any connector with steps defined, with existing
OAuth/Local/Filesystem panels as fallbacks. Also updates connectors.ts to
use ConnectorMeta (with SetupStep/inputFields) as the canonical type and
exports SourceCard as a backward-compatible alias.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
SetupWizard orchestrates the pick→connect→ingest→ready state machine with a
step indicator; SetupScreen now transitions to the wizard after all boot checks
pass (phase === 'ready') instead of immediately calling onReady().
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
SourcePicker renders a grouped card grid for selecting data sources; SourceConnectFlow
provides per-source auth panels (OAuth, filesystem, local); IngestDashboard polls sync
status every 2s with progress bars; ReadyScreen shows a celebration screen with
context-aware starter queries.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* feat: add query complexity analyzer with CLI and UI integration
Classify incoming queries by difficulty (trivial→very_complex) to
suggest appropriate token budgets for local vs. cloud routing.
- Add score_complexity() with weighted signals (length, code, math,
reasoning, multi-step, creative) and token tier mapping
- Wire into `jarvis ask`: auto-suggest max_tokens when not set by user,
show complexity in --profile output, log at DEBUG level
- Add complexity metadata to /v1/chat/completions API response
- Display complexity tier and score in frontend XRayFooter
- Extend RoutingContext with complexity_score, suggested_max_tokens,
has_reasoning fields
- Update HeuristicRouter to route on complexity_score instead of
raw query_length
- Remove duplicated regex patterns from router.py (use complexity
module as single source of truth)
- Add 30 unit tests for complexity module
- Fix existing router tests for new complexity-based routing
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: pass temperature and max_tokens from UI settings to backend
The settings page stores temperature and max_tokens in the frontend
store, but these values were never included in the chat API request.
The backend Pydantic model defaults max_tokens to 1024 when the field
is absent, which is too low for thinking models like qwen3.5 — they
consume all tokens on reasoning and return empty content.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: pass UI settings to backend and auto-bump max_tokens from complexity
- Pass temperature and max_tokens from frontend Settings store to the
backend API (cherry-picked from fix/ui-max-tokens-passthrough)
- Server-side: bump max_tokens when the complexity analyzer suggests a
higher budget (e.g. for thinking models on complex queries), never
reduce below the client-requested value
- Fixes empty responses with thinking models (e.g. qwen3.5) that
consumed all tokens on internal reasoning
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: raise token budget tiers to prevent empty responses on thinking models
Double all tier budgets (trivial: 512→1024, simple: 1024→2048, etc.)
so that thinking models like qwen3.5 have enough headroom for internal
chain-of-thought plus visible output, even on simple queries.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: CI lint and test failures
- Break long lines in routes.py to satisfy 88-char limit (E501)
- Add intelligence.max_tokens and temperature to mocked config in
test_ask_router.py so complexity analyzer can compare against int
instead of MagicMock
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: line too long in test_complexity.py (E501)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Center "Message OpenJarvis..." placeholder vertically in input area
- Restructure Energy Monitoring to 2x3 grid: promote thermal status and tokens processed to stat cards
- Add truncate to stat card values to prevent overflow
- Remove "Server-reported savings" section from Cost Comparison (redundant)
- Move asterisk disclaimer directly below divider
- Unify token counts: Energy Monitoring now uses savings store (same source as Cost Comparison)
- Round values to 1 decimal (except energy/token at 3 decimals and integer fields)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Change initial stream phase from "Connecting..." to "Generating..."
- Left-align "Loading model..." text in sidebar model badge
- Fix token count not updating by preferring client-side savings data
- Rename "Tokens" to "Output Tokens" in system panel
- Show input/output tokens in XRay footer with dash separators
- Fix EnergyDashboard to use shared API helpers (getBase) instead of raw env var
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Ollama engine: capture eval_count and prompt_eval_count from the
streaming final chunk (includes thinking/reasoning tokens).
- Routes: include usage data in the SSE finish chunk so the frontend
gets accurate token counts even in streaming mode.
- X-Ray footer: show estimated thinking tokens when completion_tokens
significantly exceeds visible output (e.g. "1695 generated · 11 prompt
· ~1680 thinking").
- Tauri commands: save_cloud_key writes keys to ~/.openjarvis/cloud-keys.env
(chmod 600), get_cloud_key_status reports which providers are configured.
- Server spawn: reads cloud-keys.env and injects keys as env vars into
the jarvis serve process, so CloudEngine picks them up automatically.
- Frontend: Cloud Models tab saves keys through Tauri invoke (desktop)
in addition to localStorage (web), so keys persist across restarts.
- Flow: user enters key in Cloud tab → saved to disk → next server
start picks it up → cloud models appear in the model list.
1. Cloud Models tab: third tab in Cmd+K palette with API key management
for OpenAI, Anthropic, Google, and OpenRouter. Keys stored in
localStorage (never sent externally). Top-3 models per provider
shown when key is configured. Connected status indicator.
2. New chat button: skip creating a new chat if the current one is
empty (no messages). Prevents stacking empty conversations.
3. Tab label: "Installed" renamed to "Installed Models (N)" for clarity.
1. Desktop icon: bake rounded corners into the PNG/ICNS/ICO so the icon
looks consistent on Desktop and in Applications.
2. SetupScreen: truncate long status text with ellipsis, word-break
error messages so they don't overflow the block.
3. Model switching: create a new chat session when changing models,
preventing stale context errors with the new model.
4. X-Ray footer: show input/output token counts in the collapsed
summary (e.g. "42 in · 128 out") alongside engine, model, latency.
* feat(ui): update design tokens — system-ui font, warmer palette, accent triad
- Remove Merriweather serif font, switch to system-ui font stack
- Warmer dark mode neutrals (#161618 bg instead of #09090b)
- Add amber/purple accent tokens for signature color triad
- Update borders to rgba for softer feel
- Tighter line-height (1.5) and letter-spacing (-0.01em)
- Update PWA theme_color to match new palette
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat(ui): frosted glass sidebar with backdrop-blur
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat(ui): initialize shadcn/ui with button, dialog, input, select, tooltip, sonner
Set up shadcn/ui (v4) for Tailwind CSS v4 with CSS-first config. Added
path aliases (@/) to tsconfig.json and vite.config.ts. Installed six
components (button, dialog, input, select, tooltip, sonner) and wired
Sonner's <Toaster> into App.tsx for toast notifications. Removed the
next-themes dependency since this is a Vite/React project, not Next.js.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(ui): disable create agent when unavailable, replace errors with toasts
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat(ui): add System Pulse bar and health check banner
- 3px gradient bar at top reflecting system state (idle/inferencing/agent)
- Health check banner when backend is unreachable
- Pulse colors: blue (inference), purple (agents), dim blue (idle)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat(ui): add X-Ray message footers with collapsible telemetry
- MessageTelemetry type on ChatMessage (engine, model, speed, TTFT, timing)
- Capture timing data during SSE streaming in InputArea
- XRayFooter component: collapsed one-liner + expandable trace grid
- Integrated into MessageBubble, replacing old token count display
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(ui): resolve shadcn/ui CSS token conflicts with design system
- Namespace shadcn @theme inline variables (--color-cn-*) to avoid
overriding project's --color-border, --color-accent, --radius-* tokens
- Remove @apply border-border, bg-background, text-foreground, font-sans
that conflicted with our explicit CSS custom properties
- Remove dead Geist font import (we use system-ui)
- Remove ---break--- comment artifacts from shadcn CLI
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: model catalogue with download/delete and auto-pull Qwen3.5
- Desktop boot: start server immediately with fallback model (qwen3:0.6b),
then pull preferred model (qwen3.5:4b) and remaining Qwen3.5 variants
that fit in RAM in the background. No more broken "Select model" state.
- Backend: add POST /v1/models/pull and DELETE /v1/models/{name} endpoints
so the frontend can trigger model downloads and deletions via Ollama.
- Frontend: redesign CommandPalette (Cmd+K) with two tabs — "Installed"
shows pulled models with select/delete, "Download Models" shows a
catalogue of popular models plus a custom model input field.
- Fix ollama_has_model() to use exact tag matching instead of prefix
matching, preventing false positives.
* fix: streaming, model switching, second-largest default, and tests
- Streaming: use direct engine streaming for non-tool requests so tokens
arrive in real-time instead of being batched by the agent bridge.
Add error handling to _handle_stream so engine errors surface as
content chunks instead of silent failures.
- Model selection: pick the second-largest Qwen3.5 model that fits
(leaves headroom for OS/apps) instead of the absolute largest.
- Model switching: abort in-flight stream when the user changes models
mid-generation, preventing stale-model errors. Improve error messages
in catch blocks.
- Tests: add tests/server/test_model_management.py with 11 tests
covering model pull/delete endpoints, streaming error resilience,
direct-engine streaming bypass, and model listing. All 100 server
tests pass.
