Previously `core/config.py` defined `DEFAULT_CONFIG_DIR = Path.home() /
".openjarvis"` as a by-value module constant imported into ~45 modules, and 34
modules hardcoded `Path.home() / ".openjarvis"` directly. The installer honored
`OPENJARVIS_HOME` but the Python runtime ignored it, producing a split-brain
layout (some modules honored the override, the core config dir did not). Eval
dataset caches also scattered into `~/.cache/<benchmark>`.
This introduces a single env-aware resolver in `openjarvis/core/paths.py` and
routes every state/config/cache path through it. OpenJarvis now keeps ALL of
its state under ONE root, resolved in priority order:
1. $OPENJARVIS_HOME
2. $XDG_DATA_HOME/openjarvis (single nested dir, when XDG_DATA_HOME is set)
3. ~/.openjarvis (default — unchanged, so existing installs are
untouched and no data migration is required)
Implementation:
- New `core/paths.py`: get_config_dir / get_config_path / get_data_dir /
get_cache_dir, with a source-tree rejection guard (fails loudly per
REVIEW.md if the root resolves inside the repo).
- `core/config.py`: DEFAULT_CONFIG_DIR / DEFAULT_CONFIG_PATH are now resolved
via the env-aware resolver at import (real attributes, so existing
monkeypatch.setattr-based tests keep working). All dataclass field defaults
that pointed at ~/.openjarvis converted to default_factory so they honor the
override at instantiation.
- Routed all 34 hardcoders plus several string-literal escapees the original
audit missed: prompt_loader / description_loader (were OPENJARVIS_HOME-only,
no XDG), swebench_harness cache, tools/{memory,skill,user_profile}_manage
defaults, server trace.db fallbacks, doctor_cmd hints.
- spec_search storage/paths now delegates to the unified resolver (gains XDG);
its ConfigurationError is aliased to the core one.
- Eval dataset caches moved from ~/.cache/<name> to <root>/cache/<name>
(~/.cache/huggingface left alone — it is HF's own cache).
- Docs + installer comment + `jarvis config path` to show resolved dirs.
Read-only macOS connectors and OS service files (LaunchAgents/systemd) are
intentionally left untouched.
Fixes#462
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat: add MiniMax as cloud inference provider
Add MiniMax M2.5 and M2.5-highspeed as a 5th cloud provider alongside
OpenAI, Anthropic, Google, and OpenRouter. Uses the OpenAI-compatible
API at api.minimax.io/v1 via the existing openai SDK dependency.
Changes:
- Add MiniMax client init, generate, and streaming in CloudEngine
- Add MiniMax models to model catalog with correct pricing
- Add MINIMAX_API_KEY environment variable support
- Add temperature clamping (0.01-1.0) per MiniMax API constraints
- Add 19 unit tests and 3 integration tests
- Update docs and README with MiniMax provider info
* feat: upgrade MiniMax default model to M2.7
- Add MiniMax-M2.7 and MiniMax-M2.7-highspeed to model list
- Set MiniMax-M2.7 as default model (first in list)
- Keep all previous models (M2.5, M2.5-highspeed) as alternatives
- Update pricing table with M2.7 entries
- Update model catalog with M2.7 specs
- Update docs to list all available MiniMax models
- Update unit tests (23 passing) and integration tests (3 passing)
---------
Co-authored-by: Octopus <octo-patch@users.noreply.github.com>
