runnable-test-suite (parent) — complete. Three sub-tasks all complete: - make-tests-runnable: add requirements.txt pinning pytest==7.4.4, sweep all docs/prompts from bare 'python' to 'python3' (stock macOS/Windows ships python3), add idempotent .venv install block to scripts/install.sh, and add 'from __future__ import annotations' to 3 dashboard modules using PEP 604 union syntax at definition time so they import on Python 3.9+. The PEP 604 bug was caught by the streak verifier itself during implementation. - vram-detect-cross-platform: scripts/vram_detect.py now branches on platform.system() for Linux/Darwin/Windows. macOS path uses system_profiler SPDisplaysDataType (Apple Silicon unified memory via sysctl hw.memsize; Intel Macs via 'VRAM (Total):'). Windows uses wmic path win32_VideoController get AdapterRAM with PowerShell fallback. Linux /proc/meminfo and nvidia-smi/lspci paths unchanged (regression test locks them). Added 14 local-LLM context-window entries (llama-3.1, qwen2.5, mistral, deepseek-r1/v3, glm-4/4.5, gemma-2, phi-3/4) with source-cited model cards. Added _probe_ollama_model() that runs 'ollama list' as a last-resort fallback. run_command() now wraps PowerShell cmdlets on Windows (['powershell', '-NoProfile', '-NoLogo', '-Command', ...]). - vram-detect-cross-platform-tests: 11 new monkeypatched tests in tests/test_vram_detect.py covering Linux/Darwin/Windows branches for detect_ram and detect_gpu_vram, prefix-match for unknown model names, ollama probe, Windows PowerShell wrapper, and a LOCKED regression test for _detect_ram_linux(). All external subprocess/sysctl/wmic calls are mocked; no live hardware probes. Suite total: 235 passed, 0 errors. Verified on this box: gpu_vram_gb 0 -> 32 on Apple M5 (32GB unified memory), target context correctly jumped 12k -> 42k. Subtask-2 implementation was authored by local LLM (gemma-4-26B-A4B-it via headroom proxy @ localhost:8787). The 10-consecutive-clean-pass streak verifier ran as the independent checker model (article #2/#9/#13 in 'WTF Is a Loop? Part 2'). One anti-spin rail fired: local LLM produced inline branches where subtask-3 tests expected private _detect_ram_linux() helper; extracted helper to match the test contract without weakening tests. Parent + all 3 subtasks complete. Prior opencode-subagent implementation of subtask-2 preserved in git stash for reference.
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AGENTS.md — Automaton Framework
This file contains the information coding agents need to work effectively on the automaton framework itself.
Project Overview
Automaton is a contract-based, state-enforced workflow framework for LLM agents. The framework enforces disciplined engineering workflows computationally via .state files, status.py phase gates, and approval gates — not just via prompts.
Repository Layout
~/.automaton/
├── .agent.md # Global router (autopilot mode, task routing)
├── .rules.md # Global rules and failure modes
├── system-prompt.md # Session startup prompt
├── config.md # Global VRAM/model configuration
├── README.md # Human-facing documentation
├── AGENTS.md # This file
├── CHANGELOG.md # Release notes
├── scripts/ # Bash/Python helper scripts
│ ├── install.sh
│ ├── update.sh
│ ├── upgrade.sh # Upgrades projects to v2.0 (bootstraps .state files)
│ ├── migrate-project.sh
│ ├── status.py # Phase enforcement, transitions, audits, claiming, can-edit
│ ├── vram_detect.py
│ ├── git-hooks/ # Git hooks for enforcement
│ │ └── pre-commit # Blocks commits when no task in edit phase
│ └── dashboard.sh
├── prompts/ # Phase-specific LLM prompts
│ ├── orchestrate.md
│ ├── research.md
│ ├── implement.md
│ └── ...
├── contracts/ # Contract checklists and integration docs
│ └── harness-integration.md # Harness integration contract
├── plugins/ # Agent harness plugins
│ └── automaton-guard/ # opencode pre-edit guard plugin
├── templates/ # Task templates
│ └── tasks/
│ ├── bad-impl/
│ ├── research-task/
│ └── subtask-parent/
├── automaton/ # Python dashboard package
│ └── dashboard/
│ ├── __main__.py
│ ├── config.py
│ ├── core/
│ └── ui/
├── tests/ # pytest suite
└── tasks/ # Framework development tasks
Build & Test Commands
Install: pip3 install -r requirements.txt
# Compile all Python files
python3 -m py_compile automaton/**/*.py automaton/dashboard/**/*.py
# Run the test suite
python3 -m pytest tests/ -v
# Run a single test file
python3 -m pytest tests/test_task.py -v
# Syntax-check shell scripts
bash -n scripts/*.sh
# Start the dashboard
python3 -m automaton.dashboard
Conventions
- Prompts live in
prompts/and use{placeholder}syntax. - Task paths must always be written as
{project}/.automaton/tasks/{task-name}/. - Scripts should be written in Python if they need complex parsing or testing; Bash is OK for simple glue.
- Tests are required for any new Python code or significant script logic.
- No orchestrator runtime — keep the framework prompt-driven. Do not add an agent harness.
- No Rust rewrite — Python/Bash are the implementation languages.
- State enforcement — all phase transitions must go through
status.py --transition. All task creation must go throughstatus.py --create-task. All approvals must go throughstatus.py --approve.
State Enforcement (v2.0)
The framework enforces the state machine computationally:
.statefile: Each task has a.statefile that is the single source of truth for its current phasestatus.py --transition: All phase transitions must go through this command; illegal transitions are refused- Approval gates: Research, Decomposition, Design, and Test Design phases require explicit user approval before proceeding (
:awaiting_approval→:approved) status.py --validate-folder: Detects out-of-order artifacts (phase skipping)status.py --audit: Comprehensive audit across all tasks for violationsstatus.py --create-task: The only valid way to create task foldersstatus.py --upgrade: Bootstraps.statefiles for pre-v2.0 tasks that lack them- FORBIDDEN actions in prompts: Each phase prompt explicitly lists what agents cannot do
- Untracked tasks: Tasks without
.statefiles are UNTRACKED. All commands (--transition,--can-edit,--task) refuse to operate on them. Run--upgradeto bootstrap.statefiles.
Harness Integration
status.py --can-edit provides a pre-edit gate that any agent harness can call before allowing file modifications. This is the primary enforcement layer. See contracts/harness-integration.md for the full integration contract.
The framework provides three enforcement layers:
- Harness pre-edit hook (
--can-edit) — blocks edits before they happen. Supported by opencode via theautomaton-guardplugin atplugins/automaton-guard/. - Git pre-commit hook (
scripts/git-hooks/pre-commit) — blocks commits when no task is in an edit-allowed phase. Works for ALL harnesses. - Prompt-based rules (ALLOWED/FORBIDDEN sections) — advisory only, relies on agent discipline.
Modes:
--can-edit --project {p}— Is editing allowed on this project? (checks for tasks in implement/doc_review)--can-edit --project {p} --file {path}— Same, plus file scope check--can-edit --project {p} --task {t}— Is this specific task in an edit-allowed phase?--can-edit --project {p} --task {t} --file {path}— Same, plus file scope check- Add
--jsonfor machine-readable output
Adding or Updating Prompts
- Edit the relevant file in
prompts/. - Run
python3 -m pytest tests/test_prompt_paths.pyto ensure task paths are canonical. - Update
CHANGELOG.mdunder[unreleased].
Adding a New Script
- Place the script in
scripts/. - Make it executable if it is entry-point code (
chmod +x). - Add tests in
tests/if the script is Python. - Update
README.mdand any prompts that reference it.
Dashboard Development
- The dashboard is a web application served by a Python HTTP server.
- Static assets are in
automaton/dashboard/html/. - Core logic is in
automaton/dashboard/core/. - The dashboard is scope-aware: framework mode when run from
~/.automaton/, project mode otherwise.
CI
Gitea CI runs on every push:
python3 -m py_compilepython3 -m pytest tests/bash -n scripts/*.sh
See .gitea/workflows/ci.yml.