- Implement Live Worker Streaming: wire ai_client.comms_log_callback to Tier 3 streams
- Add Parallel DAG Execution using asyncio.gather for non-dependent tickets
- Implement Automatic Retry with Model Escalation (Flash-Lite -> Flash -> Pro)
- Add Tier Model Configuration UI to MMA Dashboard with project TOML persistence
- Fix FPS reporting in PerformanceMonitor to prevent transient 0.0 values
- Update Ticket model with retry_count and dictionary-like access
- Stabilize Gemini CLI integration tests and handle script approval events in simulations
- Finalize and verify all 6 phases of the implementation plan
- Add cost tracking with new cost_tracker.py module
- Enhance Track Proposal modal with editable titles and goals
- Add Conductor Setup summary and New Track creation form to MMA Dashboard
- Implement Task DAG editing (add/delete tickets) and track-scoped discussion
- Add visual polish: color-coded statuses, tinted progress bars, and node indicators
- Support live worker streaming from AI providers to GUI panels
- Fix numerous integration test regressions and stabilize headless service
_handle_approve_script existed but was not registered in the click handler dict.
_pending_dialog (PowerShell confirmation) was invisible to the hook API —
only _pending_ask_dialog (MCP tool ask) was exposed.
- gui_2.py: register btn_approve_script -> _handle_approve_script
- api_hooks.py: add pending_script_approval field to mma_status response
- visual_sim_mma_v2.py: _drain_approvals handles pending_script_approval
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- api_hooks.py: add mma_tier_usage to get_mma_status() response
- pytest-timeout 2.4.0 installed so mark.timeout(300) is enforced in CI
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- description/status/assigned_to fields now match parse_json_tickets expectations
- Sprint planning branch also detects 'generate the implementation tickets'
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Tier 3 workers need to read/write files in headless mode. Without this
flag, all file tool calls are blocked waiting for interactive permission.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
When ANTHROPIC_API_KEY is set in the shell environment, claude --print
routes through the API key instead of subscription auth. Stripping it
forces the CLI to use subscription login for all Tier 3/4 delegation.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add step 1: read mma-tier2-tech-lead.md before any track work
- Add explicit stop rule when Tier 3 delegation fails (credit/API error)
Tier 2 must NOT silently absorb Tier 3 work as a fallback
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Tier 1 planning calls are strategic — the model should never use file tools
during epic initialization. This caused JSON parse failures when the model
tried to verify file references in the epic prompt.
- ai_client.py: add enable_tools param to send() and _send_gemini()
- orchestrator_pm.py: pass enable_tools=False in generate_tracks()
- tests/visual_sim_mma_v2.py: remove file reference from test epic
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Task 2.2 of mma_pipeline_fix_20260301: _cb_plan_epic captures comms baseline before generate_tracks() and pushes mma_tier_usage['Tier 1'] update via custom_callback. _start_track_logic does same for generate_tickets() -> mma_tier_usage['Tier 2'].
Task 2.1 of mma_pipeline_fix_20260301: capture comms baseline before send(), then sum input_tokens/output_tokens from IN/response entries to populate engine.tier_usage['Tier 3'].
Tasks 1.1, 1.2, 1.3 of mma_pipeline_fix_20260301:
- Task 1.1: Add [MMA] diagnostic print before _queue_put in run_worker_lifecycle; enhance except to include traceback
- Task 1.2: Replace unsafe event_queue._queue.put_nowait() else branches with RuntimeError in run_worker_lifecycle, confirm_execution, confirm_spawn
- Task 1.3: Verified run_in_executor positional arg order is correct (no change needed)
Addresses three gaps where Claude Code and Gemini CLI outperform Manual Slop's
MMA during actual execution:
1. Live worker streaming: Wire comms_log_callback to per-ticket streams so
users see real-time output instead of waiting for worker completion.
2. Per-tier model config: Replace hardcoded get_model_for_role with GUI
dropdowns persisted to project TOML.
3. Parallel DAG execution: asyncio.gather for independent tickets (exploratory
— _send_lock may block, needs investigation).
4. Auto-retry with escalation: flash-lite -> flash -> pro on BLOCKED, up to
2 retries (wires existing --failure-count mechanism into ConductorEngine).
7 new tasks across Phase 6, bringing total to 30 tasks across 6 phases.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
mma_exec.py changes:
- get_role_documents: Tier 1 now gets docs/guide_architecture.md + guide_mma.md
(was: only product.md). Tier 2 gets same (was: only tech-stack + workflow).
Tier 3 gets guide_architecture.md (was: only workflow.md — workers modifying
gui_2.py had zero knowledge of threading model). Tier 4 gets guide_architecture.md
(was: nothing).
- Tier 3 system directive: Added ARCHITECTURE REFERENCE callout, CRITICAL
THREADING RULE (never write GUI state from background thread), TASK FORMAT
instruction (follow WHERE/WHAT/HOW/SAFETY from surgical tasks), and
py_get_definition to tool list.
- Tier 4 system directive: Added ARCHITECTURE REFERENCE callout and instruction
to trace errors through thread domains documented in guide_architecture.md.
conductor/workflow.md changes:
- Red Phase delegation prompt: Replaced 'with a prompt to create tests' with
surgical prompt format example showing WHERE/WHAT/HOW/SAFETY.
- Green Phase delegation prompt: Replaced 'with a highly specific prompt' with
surgical prompt format example with exact line refs and API calls.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Updates three Gemini skill files to match the Claude command methodology:
mma-orchestrator/SKILL.md:
- New Section 0: Architecture Fallback with links to all 4 docs/guide_*.md
- New Surgical Spec Protocol (6-point mandatory checklist)
- New Section 5: Cross-Skill Activation for tier transitions
- Example 2 rewritten with surgical prompt (exact line refs + API calls)
- New Example 3: Track creation with audit-first workflow
- Added py_get_definition to tool usage guidance
mma-tier1-orchestrator/SKILL.md:
- Added Architecture Fallback and Surgical Spec Protocol summary
- References activate_skill mma-orchestrator for full protocol
mma-tier2-tech-lead/SKILL.md:
- Added Architecture Fallback section
- Added Surgical Delegation Protocol with WHERE/WHAT/HOW/SAFETY example
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Distills what made this session's track specs high-quality into reusable
methodology for both Claude and Gemini Tier 1 orchestrators:
Key additions to conductor-new-track.md:
- MANDATORY Step 2: Deep Codebase Audit before writing any spec
- 'Current State Audit' section template (Already Implemented + Gaps)
- 6 rules for writing worker-ready tasks (WHERE/WHAT/HOW/SAFETY)
- Anti-patterns section (vague specs, no line refs, no audit, etc.)
- Architecture doc fallback references
Key additions to mma-tier1-orchestrator.md (Claude + Gemini):
- 'The Surgical Methodology' section with 6 protocols
- Spec template with REQUIRED sections (Current State Audit is mandatory)
- Plan template with REQUIRED task format (file:line refs + API calls)
- Root cause analysis requirement for fix tracks
- Cross-track dependency mapping requirement
- Added py_get_definition to Gemini's tool list (was missing)
The core insight: the quality gap between this session's output and previous
track specs came from (1) reading actual code before writing specs, (2) listing
what EXISTS before what's MISSING, and (3) specifying exact locations and APIs
in tasks so lesser models don't have to search or guess.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
