v2.0: state enforcement, project scoping, harness integration
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State Enforcement (v2.0):
- .state file as single source of truth for task phase
- Approval gates for research, decomposition, design, test_design
- status.py --transition refuses illegal phase transitions
- status.py --validate-folder detects out-of-order artifacts
- status.py --audit checks all tasks for violations
- status.py --create-task is the only valid way to create tasks
- Pre-v2.0 tasks without .state are UNTRACKED -- all commands refuse them
- New --upgrade command bootstraps .state files for existing tasks

Project Scoping:
- --project flag added to all status.py commands across 16+ files
- _find_project_dir errors instead of silently falling back to ~/.automaton/
- --scope-check marks framework files OUT_OF_SCOPE when working on a project
- Dashboard handlers use stored project_root instead of re-detecting from CWD
- Prompts reference ~/.automaton/scripts/vram_detect.py (not {project}/.automaton/)

Harness Integration:
- status.py --can-edit now supports project-level checks (no --task required)
- --can-edit --file checks file scope without --task
- --json output for machine-readable harness integration
- opencode plugin (plugins/automaton-guard/plugin.ts) intercepts edit/write
- Git pre-commit hook (scripts/git-hooks/pre-commit) blocks commits without task
- Formal integration contract (contracts/harness-integration.md)

Other:
- upgrade.sh delegates to status.py --upgrade instead of manual heuristics
- Phase prompts reference --project {project} for multi-project scoping
- 200 tests passing (14 new)
This commit is contained in:
2026-06-15 14:16:46 -04:00
parent 79b783864e
commit 05c76852a2
151 changed files with 7295 additions and 632 deletions
+6 -1
View File
@@ -15,7 +15,7 @@ Settings for task decomposition based on available VRAM.
When `Auto-detect: Yes`, the framework probes your system to detect:
- GPU VRAM (via `nvidia-smi` or `lspci`)
- System RAM (via `free`)
- System RAM (via `/proc/meminfo` or `sysctl`)
- Model context window (via API config or model name lookup)
- Framework overhead (by reading all loaded prompt files)
@@ -59,3 +59,8 @@ Requirements for the environment the framework runs in.
- **lspci**: Fallback if NVIDIA GPU not available (for AMD GPU VRAM detection)
- **/proc/meminfo**: Required for RAM detection (Linux)
- **sysctl**: Fallback for RAM detection (macOS)
## Framework Version
- **Version**: 2.0
- **State enforcement**: enabled (`.state` file + `status.py`)