- openjarvis.__version__ now comes from importlib.metadata.version("openjarvis")
instead of a hardcoded string, so it stays in sync with pyproject.toml on every
release. Tests assert against openjarvis.__version__ rather than a literal.
- Bump actions/checkout@v4 → @v6 and astral-sh/setup-uv@v4 → @v8 across every
workflow ahead of the 2026-06-02 Node.js 20 deprecation on GitHub Actions runners.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Tests were storing digests with local time but get_today() filters
by UTC date, causing failures when local date != UTC date.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Incorporates the useful new features from PR #135 (by @gridworks) on top
of the existing PrivacyScanner implementation:
- Add DNS configuration check (macOS, via scutil --dns)
- Add --json flag to `jarvis scan` for machine-readable output
- Add --no-scan flag to `jarvis init` to skip the post-init audit
- Expand remote-access process list (ngrok, tailscaled, cloudflared, ZeroTier)
- Upgrade `jarvis scan` output from plain text to Rich table
- Add GET /v1/security/scan API endpoint
- Add tests for all new features (30 tests, all passing)
Closes#133
Co-Authored-By: gridworks <5502067+gridworks@users.noreply.github.com>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Auto-detects local sources (Apple Notes, iMessage, Obsidian), ingests
them into ~/.openjarvis/knowledge.db via IngestionPipeline + SyncEngine,
and launches an interactive Deep Research chat session with Qwen3.5 via
Ollama.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The model catalog listed non-existent Qwen3.5 sizes (3B, 8B, 14B) and
pointed to MLX community repos that don't exist, causing `jarvis init`
to recommend models that cannot be downloaded on Apple Silicon.
Replace with the actual Qwen3.5 model family sizes (0.8B, 2B, 9B, 27B)
and verified mlx-community repo URLs from HuggingFace.
Fixes#129
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Adds connect_cmd.py with --list, --disconnect, --sync, and positional source
routing (filesystem vs OAuth), registers it in the CLI, and covers all
behaviours with 5 passing unit tests.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The test_init_creates_config test in test_cli.py was not updated
when the download prompt and privacy hook were added to jarvis init.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Wraps long CliRunner.invoke() calls, removes unused pytest imports,
fixes import ordering, and removes unused variables in test_scan.py.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Add slots=True to ScanResult dataclass
- Fix extra space in IPv6 port f-string
- Add missing tests: check_remote_access, check_icloud_sync, run_quick
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Registers the new scan command in the CLI. Adds a lightweight
privacy check at the end of jarvis init that runs disk encryption
and cloud sync checks, with pointer to jarvis scan for full audit.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Prompts user to download recommended model during jarvis init.
Adds --no-download flag for CI. Shows helpful message when no
model fits available memory. Adds exo/nexa next-steps text.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Refactors model pull into reusable ollama_pull() function. Adds
--engine flag to support llamacpp (GGUF) and mlx (HuggingFace)
downloads via huggingface-cli, with FileNotFoundError handling.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
New PrivacyScanner class with checks for disk encryption (FileVault/LUKS),
MDM profiles, cloud sync agents, network exposure, and screen recording.
Supports macOS and Linux with graceful skip on missing tools.
Co-Authored-By: Claude Opus 4.6 (1M context) <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>
* feat: add CLI commands: config, registry, tool
* fix: address review feedback on CLI config/registry/tool commands
- Replace non-existent `create_config_template` with `generate_default_toml`
to fix ImportError when config file is missing
- Deduplicate registry maps into shared `_load_registry_map()` helper
- Remove dead `_get_registry_class()` function and its tests
- Route JSON output to stdout for pipeability (`jarvis config show json | jq`)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Jon Saad-Falcon <41205309+jonsaadfalcon@users.noreply.github.com>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Engine discovery (#73): get_engine() now falls back to any healthy
engine when the explicitly-requested key fails, instead of returning
None. Fixes LM Studio (and other non-default engines) not being found
when deploying agents.
- FTS5 case sensitivity & scoring (#67): Add explicit unicode61 tokenizer
to the FTS5 virtual table for case-insensitive search. Replace ambiguous
`rank` column with explicit `bm25()` call with column weights (id=0,
content=1, source=0.5) to produce correct positive scores. Includes
auto-migration for existing databases.
- Interactive engine selection (#72): `jarvis init` now detects running
engines and presents an interactive picker. Also accepts `--engine`
flag to skip the prompt. Engine choice flows through to config
generation.
- Windows desktop support (#68): Add RAM detection via wmic, Windows
binary paths (LOCALAPPDATA, ProgramFiles, cargo), port cleanup via
netstat+taskkill, and USERPROFILE fallback for HOME env var.
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: add interactive agent confirmation mode and fix tool loading
- Add `interactive` and `confirm_callback` params to ToolUsingAgent and
NativeReActAgent so CLI sessions can prompt user before tool execution
- Fix tool resolution in `ask` and `chat` commands to fall back to
config.tools.enabled when no --tools flag is provided
- Register shell_exec tool in tools/__init__.py auto-discovery
- Add dspy and gepa as optional learning extras (learning-dspy, learning-gepa)
- Fix openjarvis-rust lock version (1.0.0 → 0.1.0)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix(cli): support configured tool defaults and confirmations
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
