Addresses #404 (unable to launch / fully download) and contributes to #309 (stuck on starting api server) by removing the eager numpy import paths that fail hard when a Windows host has a partially-installed or cp314-incompatible numpy.
What changed:
- `src/openjarvis/connectors/embeddings.py` / `hybrid_search.py`: numpy imports are now lazy (inside the method that needs them) with a `TYPE_CHECKING` guard for annotations. Default-argument evaluation no longer touches numpy at module import.
- `src/openjarvis/cli/__init__.py`: the `deep_research_setup` command import is now guarded behind a `try/except Exception` so an OverflowError or ImportError during its module load doesn't crash the entire CLI.
- New regression test in `tests/cli/test_cli.py`: `test_importing_cli_does_not_import_numpy` spawns a subprocess and asserts `numpy` is not in `sys.modules` after `import openjarvis.cli`. Guards against future eager-numpy regressions on Windows.
Reported by @Tentacle39 in #404 and seen alongside @xoomarx's #309. Thanks to both — the Windows-only crash signature made this hard to diagnose without your repros.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Follow-up on @TX-Huang's PR #295. The new
test_soul_md_content_reaches_engine_in_simple_agent test has one
line at 92 chars that trips ruff's E501 (88 char limit). Wrap the
ternary onto multiple lines so the file passes ruff check on CI.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
`SystemPromptBuilder` is fully implemented and tested in
`openjarvis.prompt.builder`, and `BaseAgent.__init__` accepts a
`prompt_builder` kwarg. But no production code path ever instantiates
the builder, so the persona-files feature documented in
`MemoryFilesConfig` (SOUL.md / MEMORY.md / USER.md) had no effect.
Users could write a fully-customized `~/.openjarvis/SOUL.md` and the
file was never read.
This PR wires it up in `_run_agent` (called by `jarvis ask --agent
<name>` and the new fallback from #294):
```python
if "prompt_builder" in inspect.signature(agent_cls.__init__).parameters:
agent_kwargs["prompt_builder"] = SystemPromptBuilder(
agent_template=config.agent.default_system_prompt or "",
memory_files_config=config.memory_files,
system_prompt_config=config.system_prompt,
)
```
The `inspect` guard means agents that override `__init__` without
forwarding `prompt_builder` (e.g. OrchestratorAgent, which has its
own tool-aware system prompt) opt out automatically and keep
working unchanged. SimpleAgent and any future agent that inherits
`BaseAgent.__init__` directly picks up the persona files.
Also fixes a latent bug in `SystemPromptBuilder._load_file`: it
called `path.read_text()` with no encoding, which on Windows falls
back to the system code page (cp950 / cp932 / cp949) and raises
`UnicodeDecodeError` on any non-ASCII persona content. Pin to UTF-8.
## Tests
- Add `test_soul_md_content_reaches_engine_in_simple_agent` — writes
sentinel SOUL.md / MEMORY.md / USER.md to tmp_path, runs the
command, and asserts each sentinel appears in the SYSTEM message
passed to engine.generate.
- Add `test_orchestrator_keeps_its_own_system_prompt` — exercises
the `inspect`-based opt-out so OrchestratorAgent doesn't crash
on the unexpected kwarg.
Run: `pytest tests/cli/test_ask_agent.py tests/cli/test_ask_router.py
tests/cli/test_ask_e2e.py tests/agents/ tests/prompt/`
The 6 remaining failures (test_base_agent, test_loop_guard,
test_manager, test_native_openhands) are pre-existing on
origin/main and unrelated to this change.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
`jarvis ask "..."` (no `--agent` flag) routed straight to
`engine.generate()` regardless of `agent.default_agent` in the user's
config. As a result the persona stack — `agent.default_system_prompt`,
SOUL.md, MEMORY.md, USER.md — was silently bypassed for the most
common command.
Behavior now:
- `--agent X` → use agent X (unchanged)
- `--agent ""` (empty) → explicit opt-out, direct-to-engine mode
- (omitted) → fall back to `config.agent.default_agent`,
which dataclass-defaults to `"simple"`,
so persona settings finally take effect
Tests:
- Rename `test_no_agent_uses_direct_mode` to
`test_no_agent_flag_falls_back_to_config_default_agent` and update
its docstring to document the new behavior.
- Add `test_explicit_empty_agent_opts_out_of_agent_mode`.
- Add `test_no_agent_with_blank_config_default_uses_direct_mode` to
cover the case where the user clears `default_agent`.
- Update `_patch_engine` (test_ask_router) and `_patch_ask`
(test_ask_e2e) to re-register `SimpleAgent` after the autouse
`_clean_registries` conftest fixture, since the agent path now
runs in tests that previously short-circuited to direct mode.
- Add explicit `cfg.agent.default_agent = ""` to two
`test_ask_router` tests that mock load_config with a MagicMock
(so `cfg.agent.default_agent` doesn't auto-create as a truthy mock).
Note: `tests/cli/test_ask_context.py` has 2 unrelated pre-existing
failures on origin/main (memory backend returns None on Windows);
those are out of scope for this PR.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
On Windows the default Python stdout encoding follows the system
ANSI code page (cp950 for zh-TW, cp932 for ja, cp949 for ko).
`click.echo()` then raises `UnicodeEncodeError` whenever a CJK
character lands in CLI output — `jarvis ask` returning Chinese
crashes with `'cp950' codec can't encode character '义'`.
Reconfigure `sys.stdout` and `sys.stderr` to UTF-8 with
`errors='replace'` at the `main()` entry point. Scoped to
`win32` so other platforms are untouched. Two unit tests verify
the reconfigure happens on Windows and doesn't on Linux.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(mining): add Pearl model conversion workflow
* test(mining): tolerate missing Docker device request type
* docs(mining): record Gemma and Qwen conversion evidence
* docs(mining): record Qwen local validation evidence
---------
Co-authored-by: krypticmouse <herumbshandilya123@gmail.com>
- 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>
