- **Restore 82 completed tasks** from tasks/complete/ back to tasks/ top level (all <7 days old per the cleanup policy; premature bulk archive was fixed). - **Dashboard: fix scroll-reset on auto-refresh** — renderBoard rebuilds the board via innerHTML every 2s, destroying each column-body's scrollTop. Now snapshots column-body scrollTop + board.scrollLeft + view.scrollTop before rebuild and restores after (matched by PHASE_GROUPS index). - **Dashboard UI additions** (pre-existing unstaged work): approval section cards, transition buttons, inline artifact editor (textarea for writing missing SPEC/VERDICT/etc from the detail modal). - **Bind ornith as Implement model** — config.md: Model explicit to omlx/Ornith-1.0-35B-4bit-mlx, context window 32768. Interactive autopilot already used ornith via opencode default; now explicit. - **Fix cleanup stub** — automaton-cleanup.sh had a stale --project arg pointing at a pytest temp dir (test isolation leak). Rewired to point at ~/.automaton. - **Fix plist-isolation test** — test asserted host plist doesn't exist, but a real install creates it. Now snapshots mtime before run, asserts unchanged after (only a write during the test counts as bleed). - **New Playwright smoke test** (tests/test_dashboard_ui.py) — 2 tests: board renders tasks, column scroll survives auto-refresh tick. Verified the test fails without the scroll fix (scrollTop resets to 0). Skipped via importorskip when playwright is absent (main CI stays green). - **Clarify SI loop scope in README** — new-project onboarding section documents the framework-scoped self-improvement loop and options (leave/pause/create project loop). - **CHANGELOG** documents all changes including the known model-divergence gap (mde tasks marked complete but per-role model binding was never implemented).
3.0 KiB
3.0 KiB
Implementation: Multi-Agent Support
Changes Made
1. Agent Configuration in .agent.md
Multi-agent mode is activated by adding an ## Agent Configuration section to .agent.md:
## Agent Configuration
Mode: multi-agent
Agents:
- id: researcher
phases: [research, decomposition, design, test_design]
- id: implementer
phases: [implement]
- id: orchestrator
phases: [new, complete, human_intervention]
role: coordinator
Lock timeout: 30m
When this section is absent or Mode: single-agent (default), all multi-agent commands are no-ops.
2. Task claiming: --claim and --release
status.py --claim --task {name} --agent {id}creates.state.lockwith agent ID, phase, claimed timestamp, and expiry- Atomic write (
.state.lock.tmp→.state.lock) - Refuses if already claimed and not expired
- Overclaims expired locks with warning
- Validates agent is configured for the task's current phase
- Default lock timeout: 30 minutes, configurable in
.agent.md
3. Work discovery: --next-available and --available
--next-available --agent {id}returns the highest-priority unclaimed task matching the agent's allowed phases- Priority: tasks closest to completion first (referee > doc_review > ... > research > new)
--available --agent {id}lists all matching tasks- In single-agent mode, both return a message directing to
--list
4. Single-agent zero-overhead guarantee
- When no Agent Configuration exists,
--claim,--release,--next-available,--availableare no-ops or return guidance messages - No
.state.lockfiles are created in single-agent mode - No performance overhead, no behavioral change from v1
5. Coordinator role
- Agent with
role: coordinatorcan:- Claim tasks on behalf of other agents (
--claim --agent {target} --as-coordinator) - Force-release claims (
--release --as-coordinator) - Force-transition (
--transition {phase} --force)
- Claim tasks on behalf of other agents (
6. Lock expiry and conflict resolution
- Locks expire after configurable timeout (default 30 min)
- Any agent can overclaim expired locks
- Atomic lock writes prevent race conditions
- Locks auto-release on
completeandhuman_interventiontransitions
7. Role binding in phase prompts
- When multi-agent mode is active and
--agentis provided,status.py --taskincludes agent-specific ALLOWED/FORBIDDEN sections - Phase prompts include
## Agent Rolesection when agent is role-bound TASK_HANDOFFsignal defined for when agent can't perform a required phase
Files Modified
scripts/status.py(multi-agent commands implemented)tests/test_status.py(existing tests cover single-agent; multi-agent requires Agent Configuration to test)
Notes
- Multi-agent is opt-in: zero config changes needed for single-agent usage
- The phase prompt
## Agent Rolesection is documented in themulti-agent-support/SPEC.mdbut will be dynamically generated bystatus.py --taskoutput when multi-agent is active - Dashboard integration for multi-agent status display is future work