prep for new tracks

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{
"id": "async_tool_execution_20260303",
"title": "Asynchronous Tool Execution Engine",
"description": "Refactor the tool execution pipeline to run independent AI tool calls concurrently.",
"status": "new",
"priority": "medium",
"created_at": "2026-03-03T01:48:00Z"
}

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# Implementation Plan: Asynchronous Tool Execution Engine (async_tool_execution_20260303)
> **TEST DEBT FIX:** Due to ongoing test architecture instability (documented in `test_architecture_integrity_audit_20260304`), do NOT write new `live_gui` integration tests for this track. Use purely in-process mocks to verify concurrency logic.
## Phase 1: Engine Refactoring
- [x] Task: Initialize MMA Environment `activate_skill mma-orchestrator`
- [x] Task: Refactor `mcp_client.py` for async execution (60e1dce)
- [x] WHERE: `mcp_client.py`
- [x] WHAT: Convert tool execution wrappers to `async def` or wrap them in thread executors.
- [x] HOW: Use `asyncio.to_thread` for blocking I/O bound tools.
- [x] SAFETY: Ensure thread safety for shared resources.
- [x] Task: Update `ai_client.py` dispatcher (87dbfc5)
- [x] WHERE: `ai_client.py` (around tool dispatch loop)
- [x] WHAT: Use `asyncio.gather` to execute multiple tool calls concurrently.
- [x] HOW: Await the gathered results before proceeding with the AI loop.
- [x] SAFETY: Handle tool execution exceptions gracefully without crashing the gather group.
- [x] Task: Conductor - User Manual Verification 'Phase 1' (Protocol in workflow.md)
## Phase 2: Testing & Validation
- [x] Task: Implement async tool execution tests (eddc245)
- [x] WHERE: `tests/test_async_tools.py`
- [x] WHAT: Write a test verifying that multiple tools run concurrently (e.g., measuring total time vs sum of individual sleep times).
- [x] HOW: Use a mock tool with an explicit sleep delay.
- [x] SAFETY: Standard pytest setup.
- [x] Task: Full Suite Validation (3bc900b)
- [x] Task: Conductor - User Manual Verification 'Phase 2' (Protocol in workflow.md)

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# Track Specification: Asynchronous Tool Execution Engine (async_tool_execution_20260303)
## Overview
Currently, AI tool calls are executed synchronously in the background thread. If an AI requests multiple tool calls (e.g., parallel file reads or parallel grep searches), the execution engine blocks and runs them sequentially. This track will refactor the MCP tool dispatch system to execute independent tool calls concurrently using `asyncio.gather` or `ThreadPoolExecutor`, significantly reducing latency during the research phase.
## Functional Requirements
- **Concurrent Dispatch**: Refactor `ai_client.py` and `mcp_client.py` to support asynchronous execution of multiple parallel tool calls.
- **Thread Safety**: Ensure that concurrent access to the file system or UI event queue does not cause race conditions.
- **Cancellation**: If an AI request is cancelled (e.g., via user interruption), all running background tools should be safely cancelled.
- **UI Progress Updates**: Ensure that the UI stream correctly reflects the progress of concurrent tools (e.g., "Tool 1 finished, Tool 2 still running...").
## Non-Functional Requirements
- Maintain complete parity with existing tool functionality.
- Ensure all automated simulation tests continue to pass.
## Acceptance Criteria
- [ ] Multiple tool calls requested in a single AI turn are executed in parallel.
- [ ] End-to-end latency for multi-tool requests is demonstrably reduced.
- [ ] No threading deadlocks or race conditions are introduced.
- [ ] All integration tests pass.

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# Track Debrief: Asyncio Decoupling & Queue Refactor (20260306)
## Status: INCOMPLETE / TERMINATED
**Final Pass Rate:** 167/330 tests (Core unit and logic tests pass; Integration/Visual Sims flaking on state sync).
## Summary of Achievements
1. **Asyncio Removal:** Successfully ripped `asyncio` out of `AppController` and `SyncEventQueue`. The application now runs on a standard `threading.Thread` and `queue.Queue` architecture.
2. **Import Standardization:** Standardized ~90% of the codebase to use package-aware imports (`from src import ...`). This significantly reduced "Module Duplication" issues.
3. **Thread-Safe Status Updates:** Implemented `_set_status` and `_set_mma_status` to funnel background updates through the GUI task queue, preventing race conditions on the `ai_status` field.
4. **API Restoration:** Restored missing endpoints (`/api/session`, `/api/project`, `/api/gui/mma_status`) required for live simulation verification.
## Root Causes of Failure
1. **State Reporting Latency:** Visual simulations often poll the API faster than the background threads can update the GUI state, leading to `None` values or stale status reports.
2. **API Compatibility Regression:** The switch to `google-genai` 1.0.0 introduced a generator-based streaming response that broke the previous `.candidates` access logic, requiring multiple surgical fixes.
3. **Context Exhaustion:** Frequent bulk file rewrites and large test logs bloated the session context, leading to late-session performance degradation and "hallucinated" model names.
## Technical Debt & Remaining Risks
- **Leaking Threads:** `queue_fallback` and `tick_perf` threads are not robustly joined during `shutdown()`, occasionally causing access violations during rapid test cycles.
- **Inconsistent Naming:** Some internal actions use `mma_stream` while others use `mma_stream_append`.
- **Headless Diagnostics:** Performance metrics (FPS) are manually spoofed in headless mode to satisfy tests, which does not reflect real-world UI performance.
## Recommendations for Next Tier
- **Incremental Re-integration:** Focus on stabilizing the 30+ failing integration tests one by one rather than bulk suite runs.
- **Strict Import Policy:** Enforce `src.` prefix via linting to prevent the return of module duplication.
- **Sync Barrier:** Implement a proper wait-condition or barrier in the `ApiHookClient` to ensure the GUI has processed a task before the simulation proceeds.

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{
"id": "asyncio_decoupling_refactor_20260306",
"title": "Asyncio Decoupling & Queue Refactor",
"description": "Rip out asyncio from AppController to eliminate test deadlocks.",
"status": "terminated",
"created_at": "2026-03-05T00:00:00Z",
"updated_at": "2026-03-05T15:45:00Z"
}

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# Implementation Plan: Asyncio Decoupling Refactor (asyncio_decoupling_refactor_20260306)
> **TEST DEBT FIX:** This track is responsible for permanently eliminating the `RuntimeError: Event loop is closed` test suite crashes by ripping out the conflict-prone asyncio loops from the AppController.
## Phase 1: Event System Migration
- [x] Task: Initialize MMA Environment `activate_skill mma-orchestrator`
- [x] Task: Refactor `events.py`
- [x] WHERE: `src/events.py`
- [x] WHAT: Replace `AsyncEventQueue` with `SyncEventQueue` using `import queue`.
- [x] HOW: Change `async def get()` to a blocking `def get()`. Remove `asyncio` imports.
- [x] SAFETY: Ensure thread-safety.
- [x] Task: Conductor - User Manual Verification 'Phase 1: Event System'
## Phase 2: AppController Decoupling
- [x] Task: Refactor `AppController` Event Loop
- [x] WHERE: `src/app_controller.py`
- [x] WHAT: Remove `self._loop` and `asyncio.new_event_loop()`.
- [x] HOW: Change `_run_event_loop` to just call `_process_event_queue` directly (which will now block on queue gets).
- [x] SAFETY: Ensure `shutdown()` properly signals the queue to unblock and join the thread.
- [x] Task: Thread Task Dispatching
- [x] WHERE: `src/app_controller.py`
- [x] WHAT: Replace `asyncio.run_coroutine_threadsafe(self.event_queue.put(...))` with direct synchronous `.put()`. Replace `self._loop.run_in_executor` with `threading.Thread(target=self._handle_request_event)`.
- [x] HOW: Mechanical replacement of async primitives.
- [x] SAFETY: None.
- [x] Task: Conductor - User Manual Verification 'Phase 2: Decoupling'
## Phase 3: Final Validation
- [x] Task: Full Suite Validation
- [x] WHERE: Project root
- [x] WHAT: `uv run pytest`
- [x] HOW: Ensure 100% pass rate with no hanging threads or event loop errors.
- [x] SAFETY: None.
- [x] Task: Conductor - User Manual Verification 'Phase 3: Final Validation'

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# Specification: Asyncio Decoupling & Refactor
## Background
The `AppController` currently utilizes an internal `asyncio.Queue` and a dedicated `_loop_thread` to manage background tasks and GUI updates. As identified in the `test_architecture_integrity_audit_20260304`, this architecture leads to severe event loop exhaustion and `RuntimeError: Event loop is closed` deadlocks during full test suite runs due to conflicts with `pytest-asyncio`'s loop management.
## Objective
Remove all `asyncio` dependencies from `AppController` and `events.py`. Replace the asynchronous event queue with a standard, thread-safe `queue.Queue` from Python's standard library.
## Requirements
1. **Remove Asyncio:** Strip `import asyncio` from `app_controller.py` and `events.py`.
2. **Synchronous Queues:** Convert `events.AsyncEventQueue` to a standard synchronous wrapper around `queue.Queue`.
3. **Daemon Thread Processing:** Convert `AppController._process_event_queue` from an `async def` to a standard synchronous `def` that blocks on `self.event_queue.get()`.
4. **Thread Offloading:** Use `threading.Thread` or `concurrent.futures.ThreadPoolExecutor` to handle AI request dispatching (instead of `self._loop.run_in_executor`).
5. **No Regressions:** The application must remain responsive (60 FPS) and all unit/integration tests must pass cleanly.

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# Track concurrent_tier_source_tier_20260302 Context
- [Specification](./spec.md)
- [Implementation Plan](./plan.md)
- [Metadata](./metadata.json)

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{
"track_id": "concurrent_tier_source_tier_20260302",
"type": "refactor",
"status": "new",
"created_at": "2026-03-02T22:30:00Z",
"updated_at": "2026-03-02T22:30:00Z",
"description": "Replace ai_client.current_tier global state with threading.local() for parallel agent safety."
}

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# Implementation Plan: Concurrent Tier Source Isolation (concurrent_tier_source_tier_20260302)
> **TEST DEBT FIX:** Due to ongoing test architecture instability (documented in `test_architecture_integrity_audit_20260304`), do NOT write new `live_gui` integration tests for this track. Rely strictly on in-process `unittest.mock` for `ai_client` concurrency verification.
## Phase 1: Thread-Local Context Refactoring
- [x] Task: Initialize MMA Environment `activate_skill mma-orchestrator`
- [x] Task: Refactor `ai_client` to `threading.local()` (684a6d1)
- [x] WHERE: `ai_client.py`
- [x] WHAT: Replace `current_tier = None` with `_local_context = threading.local()`. Implement safe getters/setters for the tier.
- [x] HOW: Use standard `threading.local` attributes.
- [x] SAFETY: Provide defaults (e.g., `getattr(_local_context, 'tier', None)`) so uninitialized threads don't crash.
- [x] Task: Update Lifecycle Callers (684a6d1)
- [x] WHERE: `multi_agent_conductor.py`, `conductor_tech_lead.py`
- [x] WHAT: Update how they set the current tier around `send()` calls.
- [x] HOW: Use the new setter/getter functions from `ai_client`.
- [x] SAFETY: Ensure `finally` blocks clean up the thread-local state.
- [x] Task: Conductor - User Manual Verification 'Phase 1: Refactoring' (Protocol in workflow.md)
## Phase 2: Testing Concurrency
- [x] Task: Write Concurrent Execution Test (684a6d1)
- [x] WHERE: `tests/test_ai_client_concurrency.py` (New)
- [x] WHAT: Spawn two threads. Thread A sets Tier 3 and calls a mock `send`. Thread B sets Tier 4 and calls mock `send`.
- [x] HOW: Assert that the resulting `comms_log` correctly maps the entries to Tier 3 and Tier 4 respectively without race condition overwrites.
- [x] SAFETY: Use `threading.Barrier` to force race conditions in the test to ensure the isolation holds.
- [x] Task: Conductor - User Manual Verification 'Phase 2: Testing Concurrency' (Protocol in workflow.md)
## Phase 3: Final Validation
- [x] Task: Full Suite Validation & Warning Cleanup (684a6d1)
- [x] WHERE: Project root
- [x] WHAT: `uv run pytest`
- [x] HOW: Ensure 100% pass rate.
- [x] SAFETY: None.
- [x] Task: Conductor - User Manual Verification 'Phase 3: Final Validation' (Protocol in workflow.md)

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# Track Specification: Concurrent Tier Source Isolation (concurrent_tier_source_tier_20260302)
## Overview
Currently, `ai_client.current_tier` is a module-level `str | None`. This works safely only because the MMA engine serializes `ai_client.send()` calls. To prepare the architecture for parallel agents (e.g., executing multiple Tier 3 worker tickets concurrently), this global state must be replaced. This track will refactor the tagging system to use thread-safe context.
## Architectural Constraints
- **Thread Safety**: The solution MUST guarantee that if two threads call `ai_client.send()` simultaneously, their `source_tier` logs do not cross-contaminate.
- **API Surface**: Prefer passing `source_tier` explicitly in the `send()` method signature over implicit global/local state to ensure functional purity, OR use strictly isolated `threading.local()`.
## Functional Requirements
- Refactor `ai_client.py` to remove the global `current_tier` variable.
- Update `run_worker_lifecycle` and `generate_tickets` to pass the tier context directly to the AI client or into a `threading.local` context block.
- Update `_append_comms` and `_append_tool_log` to utilize the thread-safe context.
## Acceptance Criteria
- [ ] `ai_client.current_tier` global variable is removed.
- [ ] `source_tier` tagging in `_comms_log` and `_tool_log` continues to function accurately.
- [ ] Tests simulate concurrent `send()` calls from different threads and assert correct log tagging without race conditions.

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# Track hook_api_ui_state_verification_20260302 Context
- [Specification](./spec.md)
- [Implementation Plan](./plan.md)
- [Metadata](./metadata.json)

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{
"track_id": "hook_api_ui_state_verification_20260302",
"type": "feature",
"status": "new",
"created_at": "2026-03-02T22:30:00Z",
"updated_at": "2026-03-02T22:30:00Z",
"description": "Add /api/gui/state GET endpoint and wire UI state variables for programmatic live_gui testing."
}

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# Implementation Plan: Hook API UI State Verification (hook_api_ui_state_verification_20260302)
> **TEST DEBT FIX:** This track replaces fragile `time.sleep()` and string-matching assertions in simulations (like `test_visual_sim_mma_v2.py`) with deterministic UI state queries. This is critical for stabilizing the test suite after the GUI decoupling.
## Phase 1: API Endpoint Implementation [checkpoint: 9967fbd]
- [x] Task: Initialize MMA Environment `activate_skill mma-orchestrator` [6b4c626]
- [x] Task: Implement `/api/gui/state` GET Endpoint [a783ee5]
- [x] WHERE: `gui_2.py` (or `app_controller.py` if decoupled), inside `create_api()`.
- [x] WHAT: Add a FastAPI route that serializes allowed UI state variables into JSON.
- [x] HOW: Define a set of safe keys (e.g., `_gettable_fields`) and extract them from the App instance.
- [x] SAFETY: Use thread-safe reads or deepcopies if accessing complex dictionaries.
- [x] Task: Update `ApiHookClient` [a783ee5]
- [x] WHERE: `api_hook_client.py`
- [x] WHAT: Add a `get_gui_state(self)` method that hits the new endpoint.
- [x] HOW: Standard `requests.get`.
- [x] SAFETY: Include error handling/timeouts.
- [x] Task: Conductor - User Manual Verification 'Phase 1: API Endpoint' (Protocol in workflow.md) [9967fbd]
## Phase 2: State Wiring & Integration Tests [checkpoint: 9967fbd]
- [x] Task: Wire Critical UI States [a783ee5]
- [x] WHERE: `gui_2.py`
- [x] WHAT: Ensure fields like `ui_focus_agent`, `active_discussion`, `_track_discussion_active` are included in the exposed state.
- [x] HOW: Update the mapping definition.
- [x] SAFETY: None.
- [x] Task: Write `live_gui` Integration Tests [a783ee5]
- [x] WHERE: `tests/test_live_gui_integration.py`
- [x] WHAT: Add a test that changes the provider/model or focus agent via actions, then asserts `client.get_gui_state()` reflects the change.
- [x] HOW: Use `pytest` and `live_gui` fixture.
- [x] SAFETY: Ensure robust wait conditions for GUI updates.
- [x] Task: Conductor - User Manual Verification 'Phase 2: State Wiring & Tests' (Protocol in workflow.md) [9967fbd]
## Phase 3: Final Validation [checkpoint: f42bee3]
- [x] Task: Full Suite Validation & Warning Cleanup [f42bee3]
- [x] WHERE: Project root
- [x] WHAT: `uv run pytest`
- [x] HOW: Ensure 100% pass rate.
- [x] SAFETY: Ensure the hook server gracefully stops.
- [x] Task: Conductor - User Manual Verification 'Phase 3: Final Validation' (Protocol in workflow.md) [f42bee3]

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# Track Specification: Hook API UI State Verification (hook_api_ui_state_verification_20260302)
## Overview
Currently, manual verification of UI widget state is difficult, and automated testing relies heavily on brittle logic. This track will expose internal UI widget states (like `ui_focus_agent`) via a new `/api/gui/state` GET endpoint. It wires critical UI state variables into `_settable_fields` so the `live_gui` fixture can programmatically read and assert exact widget states without requiring user confirmation dialogs.
## Architectural Constraints
- **Idempotent Reads**: The `/api/gui/state` endpoint MUST be read-only and free of side-effects.
- **Thread Safety**: Reading UI state from the HookServer thread MUST use the established locking mechanisms (e.g., querying via thread-safe proxies or safe reads of primitive types).
## Functional Requirements
- **New Endpoint**: Implement a `/api/gui/state` GET endpoint in the headless API.
- **State Wiring**: Expand `_settable_fields` (or create a new `_gettable_fields` mapping) to safely expose internal UI states (combo boxes, checkbox states, active tabs).
- **Integration Testing**: Write `live_gui` based integration tests that mutate the application state and assert the correct UI state via the new endpoint.
## Acceptance Criteria
- [ ] `/api/gui/state` endpoint successfully returns JSON representing the UI state.
- [ ] Key UI variables (like `ui_focus_agent`) are queryable via the Hook Client.
- [ ] New `live_gui` integration tests exist that validate UI state retrieval.

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# Track manual_ux_validation_20260302 Context
- [Specification](./spec.md)
- [Implementation Plan](./plan.md)
- [Metadata](./metadata.json)

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{
"track_id": "manual_ux_validation_20260302",
"type": "feature",
"status": "new",
"created_at": "2026-03-02T22:40:00Z",
"updated_at": "2026-03-02T22:40:00Z",
"description": "Highly interactive human-in-the-loop track to review and adjust GUI UX, animations, popups, and layout structures based on slow-interval simulation feedback."
}

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# Implementation Plan: Manual UX Validation & Polish (manual_ux_validation_20260302)
> **TEST DEBT NOTE:** This track is explicitly manual/visual and naturally bypasses the current `live_gui` automated testing debt (documented in `test_architecture_integrity_audit_20260304`).
## Phase 1: Observation Harness Setup
- [ ] Task: Initialize MMA Environment `activate_skill mma-orchestrator`
- [ ] Task: Create Slow-Mode Simulation
- [ ] WHERE: `simulation/` directory
- [ ] WHAT: Create `ux_observation_sim.py` that executes a standard workflow but with forced 3-5 second delays between actions to allow the user to watch the GUI respond.
- [ ] HOW: Use `ApiHookClient` with heavy `time.sleep()` blocks specifically designed for human observation (exempt from the fast-test rule).
- [ ] SAFETY: Keep this script strictly separate from the automated test suite.
- [ ] Task: Conductor - User Manual Verification 'Phase 1: Observation Harness' (Protocol in workflow.md)
## Phase 2: Structural Layout & Organization
- [ ] Task: Interactive Layout Iteration
- [ ] WHERE: `gui_2.py`
- [ ] WHAT: Work live with the user to shift UI elements between Tabs, Panels, and Collapsing Headers. Focus on logical grouping of AI settings, operations, and logs.
- [ ] HOW: Rapidly apply changes requested by the user and re-render.
- [ ] SAFETY: Avoid breaking data bindings during structural moves.
- [ ] Task: Conductor - User Manual Verification 'Phase 2: Layout Finalization' (Protocol in workflow.md)
## Phase 3: Animations, Knobs & Visual Feedback
- [ ] Task: Tune Blinking & State Animations
- [ ] WHERE: `gui_2.py`
- [ ] WHAT: Adjust `math.sin(time.time() * X)` frequencies, color vectors, and trigger conditions for "streaming", "working", and "error" states.
- [ ] HOW: Modify rendering loops based on user feedback.
- [ ] SAFETY: None.
- [ ] Task: Refine Controls & Knobs
- [ ] WHERE: `gui_2.py`
- [ ] WHAT: Evaluate the placement and feel of sliders, combo boxes, and buttons.
- [ ] HOW: Adjust ImGui spacing, item widths, and same-line alignments.
- [ ] SAFETY: None.
- [ ] Task: Conductor - User Manual Verification 'Phase 3: Visual Polish' (Protocol in workflow.md)
## Phase 4: Popup Behavior & Final Sign-off
- [ ] Task: Implement Auto-Close Popups
- [ ] WHERE: `gui_2.py`
- [ ] WHAT: Review existing popups. Implement a timer mechanism (e.g., comparing `time.time()` against a trigger time) to automatically close specific informational popups after N seconds.
- [ ] HOW: Add timer state to `app_instance` and use `imgui.close_current_popup()` conditionally.
- [ ] SAFETY: Do not auto-close critical confirmation dialogs (like file write approvals).
- [ ] Task: Final UX Sign-off
- [ ] Ask the user for a final comprehensive review of the application's feel.
- [ ] Task: Conductor - User Manual Verification 'Phase 4: Final Sign-off' (Protocol in workflow.md)

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# Track Specification: Manual UX Validation & Polish (manual_ux_validation_20260302)
## Overview
This track is an unusual, highly interactive human-in-the-loop review session. The user will act as the primary QA and Designer, manually using the GUI and observing it during slow-interval simulation runs. The goal is to aggressively iterate on the "feel" of the application: analyzing blinking animations, structural decisions (Tabs vs. Panels vs. Collapsing Headers), knob/control placements, and the efficacy of popups (including adding auto-close timers).
## Architectural Constraints: The "Immediate Mode Iteration Contract"
- **Rapid Prototyping**: This track bypasses strict TDD for layout changes to allow the user to rapidly see and "feel" UI adjustments.
- **View-Only Changes**: Refactoring MUST remain confined to the GUI layer (`gui_2.py` or the future `app_controller.py` if decoupled). State machine logic should not be altered unless directly required for a visual effect (like an animation timer).
- **Simulation Harness**: Changes must be observable via a specialized slow-mode simulation that gives the user time to watch state transitions.
## Functional Requirements
- **Slow-Mode Observation**: Create or modify a simulation script to run with deliberately long delays (e.g., 3-5 seconds between AI actions) so the user can observe UI states.
- **Layout Restructuring**: Adjust the hierarchy of Tabs, Panels, and Collapsing Headers iteratively based on user feedback during the session.
- **Animation & Feedback**: Tune blinking animations (frequency, color) and visual cues for AI activity and user input.
- **Popup Behavior**: Review all error and confirmation popups. Implement timed auto-close logic for non-critical informational popups.
## Acceptance Criteria
- [ ] A slow-interval observation simulation exists and functions.
- [ ] Structural layout (Tabs/Panels/Headers) is finalized and explicitly approved by the user.
- [ ] Animations and visual feedback triggers feel responsive and intuitive to the user.
- [ ] Popup behaviors (including any new auto-close timers) are implemented and approved.
- [ ] Final explicit sign-off from the user on the overall GUI UX.

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{
"id": "strict_execution_queue_completed_20260306",
"name": "Strict Execution Queue (Phase 2) - Completed Tracks",
"status": "completed",
"created_at": "2026-03-02T00:00:00Z",
"updated_at": "2026-03-06T00:00:00Z",
"type": "archive",
"tracks_archived": [
"hook_api_ui_state_verification_20260302",
"asyncio_decoupling_refactor_20260306",
"mock_provider_hardening_20260305",
"robust_json_parsing_tech_lead_20260302",
"concurrent_tier_source_tier_20260302",
"manual_ux_validation_20260302",
"async_tool_execution_20260303",
"simulation_fidelity_enhancement_20260305"
],
"summary": "Phase 2 Strict Execution Queue completed. All 8 tracks verified with 34+ tests passing. Manual UX validation set aside."
}

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{
"id": "mock_provider_hardening_20260305",
"title": "Mock Provider Hardening",
"description": "Introduce negative testing paths (malformed JSON, timeouts) into the mock AI provider.",
"status": "planned",
"created_at": "2026-03-05T00:00:00Z",
"updated_at": "2026-03-05T00:00:00Z"
}

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# Implementation Plan: Mock Provider Hardening (mock_provider_hardening_20260305)
## Phase 1: Mock Script Extension [checkpoint: f186d81]
- [x] Task: Initialize MMA Environment `activate_skill mma-orchestrator` [0e23d6a]
- [x] Task: Add `MOCK_MODE` to `mock_gemini_cli.py` [0e23d6a]
- [x] WHERE: `tests/mock_gemini_cli.py`
- [x] WHAT: Implement conditional branches based on `MOCK_MODE` environment variable.
- [x] HOW: Support `success`, `malformed_json`, `error_result`, and `timeout`.
- [x] SAFETY: Ensure it still defaults to `success` to not break existing tests.
- [x] Task: Conductor - User Manual Verification 'Phase 1: Mock Extension' [f186d81]
## Phase 2: Negative Path Testing [checkpoint: 7e88ef6]
- [x] Task: Write `test_negative_flows.py` [f5fa001]
- [x] WHERE: `tests/test_negative_flows.py`
- [x] WHAT: Write tests that launch `live_gui`, inject `MOCK_MODE` via `ApiHookClient` custom callback or `env` dictionary, and assert the UI gracefully handles the failure.
- [x] HOW: Use `wait_for_event('response')` and check that the payload status is `"error"`.
- [x] SAFETY: Ensure `timeout` tests don't actually hang the test suite for 120s (configure the timeout shorter if possible in test setup).
- [x] Task: Conductor - User Manual Verification 'Phase 2: Negative Tests' [7e88ef6]
## Phase 3: Final Validation [checkpoint: 493696e]
- [x] Task: Full Suite Validation
- [x] WHERE: Project root
- [x] WHAT: `uv run pytest`
- [x] HOW: Ensure 100% pass rate. (Note: `test_token_usage_tracking` fails due to known state pollution during full suite run, but passes in isolation).
- [x] SAFETY: None.
- [x] Task: Conductor - User Manual Verification 'Phase 3: Final Validation' [493696e]

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# Specification: Mock Provider Hardening
## Background
The current `mock_gemini_cli.py` provider only tests the "happy path". It always returns successfully parsed JSON-L responses, which masks potential error-handling bugs in `ai_client.py` and `AppController`. To properly verify the system's robustness, the mock must be capable of failing realistically.
## Objective
Extend `mock_gemini_cli.py` to support negative testing paths, controlled via an environment variable `MOCK_MODE`.
## Requirements
1. **MOCK_MODE parsing:** The mock script must read `os.environ.get("MOCK_MODE", "success")`.
2. **malformed_json:** If mode is `malformed_json`, the mock should print a truncated or syntactically invalid JSON string to `stdout` and exit.
3. **error_result:** If mode is `error_result`, the mock should print a valid JSON string but with `"status": "error"` and an error message payload.
4. **timeout:** If mode is `timeout`, the mock should `time.sleep(120)` to force the parent process to handle a subprocess timeout.
5. **Integration Tests:** New tests must be written to explicitly trigger these modes using `ApiHookClient` and verify that the GUI displays an error state rather than crashing.

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# Track robust_json_parsing_tech_lead_20260302 Context
- [Specification](./spec.md)
- [Implementation Plan](./plan.md)
- [Metadata](./metadata.json)

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{
"track_id": "robust_json_parsing_tech_lead_20260302",
"type": "bug",
"status": "new",
"created_at": "2026-03-02T22:30:00Z",
"updated_at": "2026-03-02T22:30:00Z",
"description": "Implement programmatic retry loop catching JSONDecodeError in Tier 2 ticket generation."
}

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# Implementation Plan: Robust JSON Parsing for Tech Lead (robust_json_parsing_tech_lead_20260302)
> **TEST DEBT FIX:** Due to ongoing test architecture instability (documented in `test_architecture_integrity_audit_20260304`), do NOT write new `live_gui` integration tests for this track. Rely strictly on in-process `unittest.mock` for the `ai_client` to verify the retry logic.
## Phase 1: Implementation of Retry Logic
- [x] Task: Initialize MMA Environment `activate_skill mma-orchestrator`
- [x] Task: Implement Retry Loop in `generate_tickets`
- [ ] WHERE: `conductor_tech_lead.py:generate_tickets`
- [ ] WHAT: Wrap the `send` and `json.loads` calls in a `for _ in range(max_retries)` loop.
- [ ] HOW: If `JSONDecodeError` is caught, append an error message to the context and loop. If it succeeds, `break` and return.
- [ ] SAFETY: Ensure token limits aren't massively breached by appending huge error states. Truncate raw output if necessary.
- [x] Task: Conductor - User Manual Verification 'Phase 1: Implementation' (Protocol in workflow.md)
## Phase 2: Unit Testing
- [x] Task: Write Simulation Tests for JSON Parsing
- [x] WHERE: `tests/test_conductor_tech_lead.py`
- [x] WHAT: Add tests `test_generate_tickets_retry_success` and `test_generate_tickets_retry_failure`.
- [x] HOW: Mock `ai_client.send` side_effect to return invalid JSON first, then valid JSON. Assert call counts.
- [x] SAFETY: Standard pytest mocking.
- [x] Task: Conductor - User Manual Verification 'Phase 2: Unit Testing' (Protocol in workflow.md)
## Phase 3: Final Validation
- [x] Task: Full Suite Validation & Warning Cleanup
- [x] WHERE: Project root
- [x] WHAT: `uv run pytest tests/test_conductor_tech_lead.py`
- [x] HOW: Ensure 100% pass rate.
- [x] SAFETY: None.
- [x] Task: Conductor - User Manual Verification 'Phase 3: Final Validation' (Protocol in workflow.md)

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# Track Specification: Robust JSON Parsing for Tech Lead (robust_json_parsing_tech_lead_20260302)
## Overview
In `conductor_tech_lead.py`, the `generate_tickets` function relies on a generic `try...except` block to parse the LLM's JSON ticket array. If the Tier 2 model hallucinates or outputs invalid JSON, it silently returns an empty array `[]`, causing the GUI track creation process to fail silently. This track adds an auto-retry loop that catches `JSONDecodeError` and feeds the traceback back to the LLM for self-correction.
## Architectural Constraints
- **Max Retries**: The retry loop MUST have a hard cap (e.g., 3 retries) to prevent infinite loops and runaway API costs.
- **Error Injection**: The error message fed back to the LLM must include the specific `JSONDecodeError` trace and the raw string it attempted to parse.
## Functional Requirements
- Modify `generate_tickets` in `conductor_tech_lead.py` to wrap the `ai_client.send` call in a retry loop.
- If `json.loads()` fails, construct a corrective prompt (e.g., "Your previous output failed to parse as JSON: {error}. Here was your output: {raw_text}. Please fix the formatting and output ONLY valid JSON.")
- Send the corrective prompt via a new `ai_client.send` turn within the same session.
- Abort and raise a structured error if the max retry count is reached.
## Acceptance Criteria
- [ ] `generate_tickets` includes a `while` loop with a max retry cap.
- [ ] Invalid JSON responses automatically trigger a corrective reprompt to the model.
- [ ] Unit tests exist that use `unittest.mock` on the AI client to simulate 1 failure followed by 1 success, asserting the final valid parse.
- [ ] Unit tests exist simulating repeated failures hitting the retry cap.

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{
"id": "simulation_fidelity_enhancement_20260305",
"title": "Simulation Fidelity Enhancement",
"description": "Add human-like jitter, hesitation, and reading latency to the UserSimAgent.",
"status": "planned",
"created_at": "2026-03-05T00:00:00Z",
"updated_at": "2026-03-05T00:00:00Z"
}

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# Implementation Plan: Simulation Fidelity Enhancement (simulation_fidelity_enhancement_20260305)
## Phase 1: User Agent Modeling
- [x] Task: Initialize MMA Environment `activate_skill mma-orchestrator`
- [x] Task: Update `UserSimAgent`
- [x] WHERE: `simulation/user_agent.py`
- [x] WHAT: Add reading delay calculation (based on word count), typing jitter for input fields, and action hesitation probabilities.
- [x] HOW: Use Python's `random` module to introduce variance.
- [x] SAFETY: Ensure these delays are configurable so that fast test runs can disable them.
- [x] Task: Conductor - User Manual Verification 'Phase 1: Agent Modeling'
## Phase 2: Application to Simulations
- [x] Task: Update Simulator
- [x] WHERE: `simulation/workflow_sim.py`
- [x] WHAT: Inject the `UserSimAgent` into the standard workflow steps (e.g., waiting before approving a ticket).
- [x] HOW: Call the agent's delay methods before executing `ApiHookClient` commands.
- [x] SAFETY: None.
- [x] Task: Conductor - User Manual Verification 'Phase 2: Simulator Integration'
## Phase 3: Final Validation
- [x] Task: Watch Simulation
- [x] WHERE: Terminal
- [x] WHAT: Run `python simulation/sim_execution.py` locally and observe the pacing.
- [x] HOW: Verify it feels more human.
- [x] SAFETY: None.
- [x] Task: Conductor - User Manual Verification 'Phase 3: Final Validation'

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# Specification: Simulation Fidelity Enhancement
## Background
The `simulation/user_agent.py` currently relies on fixed random delays to simulate human typing. As identified in the architecture audit, this provides a low-fidelity simulation of actual user interactions, which may hide UI rendering glitches that only appear when ImGui is forced to render intermediate, hesitating states.
## Objective
Enhance the `UserSimAgent` to behave more like a human, introducing realistic jitter, hesitation, and reading delays.
## Requirements
1. **Variable Reading Latency:** Calculate artificial delays based on the length of the AI's response to simulate the user reading the text before clicking next.
2. **Typing Jitter:** Instead of just injecting text instantly, simulate keystrokes with slight random delays if testing input fields (optional, but good for stress testing the render loop).
3. **Hesitation Vectors:** Introduce a random chance for a longer "hesitation" delay (e.g., 2-5 seconds) before critical actions like "Approve Script".