1. Add long_clickable and class_name to SpatialNode and box_legend.
2. Inject strict guardrails into the SoM prompt to prevent EditText, Recents gallery, and long_clickable hallucinations.
3. Update text-based resolver with equivalent extreme fallback rules.
4. Ensures VLM explicitly rejects non-deterministic edge cases (e.g., Select Album).
- Updated e2e_workflow_ctx in conftest to structurally parse screen_type
- Fixed StoryViewPlugin to gracefully handle pre-existing story screens
- Resolved 'LIE DETECTED' failure in story test suite
- Validated structural path transitions for story ring and story exit
P0-2: Kill blank_start: true in config — the nuclear option that wipes ALL learned
knowledge on every run. Replaced with memory_hygiene() selective amnesia that
prunes low-confidence entries while preserving high-confidence learned patterns.
P0-3: Purge all root-level garbage scripts (scratch.py, test_run.py, profile_dump.xml,
resp_dump.json, pytest_output.log, test_output.log, coverage.xml, coverage_e2e.json).
Updated .gitignore to prevent reaccumulation.
P2-2: Replace piecemeal BANNED_SCREENS/REQUIRED_MARKERS with complete Action
Compatibility Matrix (VALID_SCREENS whitelist). Every interaction intent now has
an explicit set of valid screens. Covers like, comment, follow, unfollow, save,
repost across all 14 screen types.
P2-3: Remove non-deterministic 'press back' transitions from HD Map topology for
OTHER_PROFILE, POST_DETAIL, and SEARCH_RESULTS. Add tab transitions to POST_DETAIL.
P2-4: Replace ScreenMemoryDB nuclear 200-entry wipe with LRU eviction.
store_screen() now accepts confidence parameter.
TDD: 22 new tests (all GREEN), 240 unit/tdd/integration passed, 0 regressions.
E2E: 288 passed (+2 fixed), 6 pre-existing LIE DETECTED failures.
- Raised ContentMemoryDB cache threshold from 0.95 to 0.98 to prevent cross-post poisoning.
- Implemented continuous resonance scoring by storing and retrieving 'resonance_score'
in ContentMemoryDB.
- ResonanceEngine now prioritizes high-fidelity raw scores from cache over
discrete 'high/medium/low' mapping.
TDD: 3 tests verifying threshold and scoring logic integrity.
- Raised similarity_threshold from 0.90 to 0.95 in get_screen_type() to eliminate
POST_DETAIL false-positives caused by embedding saturation.
- Implemented purge_stale_screens() with 24h TTL to remove layout drift.
- Added collection size cap (200 points) to store_screen() with automatic wipe
when saturated to clear overfitting bias.
- Triggered purge_stale_screens() on ScreenIdentity initialization.
TDD: 3 new tests for threshold defaults and purge method integrity.
1. ScreenIdentity: Restructured priority cascade to prevent Qdrant semantic
cache from overriding deterministic structural heuristics. Cached types
now resolve AFTER structural checks (Priority 3) instead of before.
Story/Reels hallucinations from both cache and VLM are rejected if
structural markers are absent.
2. bot_flow: Added error handling for story ring avatar tap and curiosity
HomeFeed navigation failures — prevents silent continuation into
undefined states.
3. GOAP: Extended is_navigation detection to include ScreenTopology
structural actions, ensuring HD Map routes are correctly classified.
4. action_memory: Tightened _parse_yes_no to prevent JSON fall-through
into ambiguous text matching. Structured responses with 'success'
boolean are now handled directly.
The SAE perceive() had no structural fast-path for Instagram-internal
modal overlays (surveys, rating prompts, interstitials). These modals
live inside com.instagram.android and were invisible to the foreign-app
detector. The LLM fallback frequently misclassified them as NORMAL,
causing the bot to get trapped in survey dialogs.
Added two O(1) structural detection layers:
1. Resource-ID markers: survey_overlay_container, interstitial_container,
mystery_interstitial, nux_overlay, rating_prompt, feedback_dialog
2. Dismiss-button heuristic: cross-validates dismiss text with overlay
container structure to prevent caption false positives
Also removed dead code: xml_dump.lower() no-op.
Fixes: test_perceive_instagram_survey_modal
Zero regressions: 464 passed, 6 pre-existing failures
Production bug 2026-05-02 22:19:
Intent 'post author username text (exclude bottom tabs)' contained the
word 'tab' in its parenthetical qualifier. The old check:
is_tab_intent = 'tab' in intent_lower
matched this intent as a TAB navigation intent, activating the Tab
Height Guard which excluded ALL nodes with center_y < 85% of screen.
This nuked the actual clips_author_username node at y=2012, leaving
only 4 irrelevant items for the VLM → bot stuck in a loop unable to
find the author username.
Fix: Replace substring match with precise regex patterns that only
match real tab navigation intents:
- 'tap profile tab', 'tap home tab' (tap + word + tab)
- 'profile tab', 'explore tab' (word + tab)
- 'tab ...' at start of intent
TDD: Red test added first, reproducing exact production state.
81 perception tests + 172 total tests pass.
Root cause: bot_flow.py injected configs.args.global_start_time = datetime.now()
which polluted the args namespace. SessionStateEncoder blindly serialized
args.__dict__ via json.dump, which crashed mid-write on the datetime object,
leaving sessions.json truncated/corrupt. Every subsequent restart failed.
Fixes:
- Remove global_start_time from configs.args (only lives on engine class vars)
- Harden SessionStateEncoder with _sanitize_value() to convert any
non-JSON-serializable type (datetime, timedelta, arbitrary objects) to strings
- Add test_system_session_persistence.py with 4 tests covering the exact
production crash scenario (datetime injection → json.dumps → round-trip)
- Fix test_engine_timeout.py broken GoalExecutor module reference
Bug 1 — VLM Profile Tab Hallucination:
- VLM confused 'Profile' nav tab with post author username
- Added Author Tab Guard to filter_navigation_conflicts()
- Fixed mock LLM to use structural row_feed_photo_profile matching
instead of hardcoded username (was the test lie)
Bug 2 — Like Button 1-Byte Delta Kill:
- Toggle actions (like/save) produce 1-byte XML deltas
- GOAP's MIN_UI_CHANGE_BYTES=50 threshold killed them as 'no change'
- Split interaction gate: interactions use ANY xml diff, navigations
keep the 50-byte threshold
Bug 3 — Empty Username Silently Accepted:
- PostDataExtraction returned 'Post by @' with no warning
- Added 'username_missing' reliability flag to result dict
- Downstream consumers can now detect degraded data quality
Cleanup:
- Removed all debug print() statements from production code
- Replaced with structured logger.debug() calls
PRODUCTION BUG 2026-04-30 11:50:
VLM returned action_bar_button_back (desc='Back') for 'tap profile tab'
intent on OTHER_PROFILE screen. This caused account_switcher to navigate
AWAY from the profile instead of opening the account selector bottom
sheet, halting the session.
Root cause: _visual_discovery pre-filter did not exclude navigation
buttons (Back, Close) when the intent was for a tab element.
Fix:
- Added filter_navigation_conflicts() method to IntentResolver
- Guards tab intents by excluding nodes with 'back' in resource_id
or content_desc == 'Back'
- Does NOT apply for 'tap back button' or 'press back' intents
TDD:
- RED: test_intent_resolver_back_guard.py — 2 tests that call
filter_navigation_conflicts on real OTHER_PROFILE XML
- GREEN: filter_navigation_conflicts method + wired into _visual_discovery
- E2E: test_workflow_account_switch.py, test_workflow_vlm_tab_confusion.py
31/31 tests passing.
🔴 RED: Tests proved obstacle_guard silently ignored system permission dialogs
and foreign app overlays, causing the bot to get stuck on Android modals.
🟢 GREEN: obstacle_guard now dismisses OBSTACLE_SYSTEM and OBSTACLE_FOREIGN_APP
with immediate back-press, preventing the interaction chain from running
against non-Instagram UI elements.
🔵 REFACTOR: Fixed broken import in resonance_evaluator (was importing
humanized_scroll from utils instead of physics.humanized_input).
- Resolved Bug #5: Fixed list vs str parsing in ResonanceEvaluator
- Resolved Bug #6: Use 'should_like' key for vibe score
- Resolved Bug #7: Guard TelepathicEngine against 'Follow' nodes for post media
- Resolved Bug #8: Implemented failed_bounds exclusion loop breaker in PerfectSnapping
- Resolved Bug #10: Corrected available_actions string parsing
- Validated with E2E regression suite (100% green)
🔴 RED → 🟢 GREEN for 4 critical bugs found in production run 2026-04-29:
1. ResonanceEvaluator: Add null-guard for evaluate_post_vibe() return.
When VLM returns truncated JSON, the function returns None. The caller
now handles this gracefully instead of crashing with AttributeError.
2. ScreenIdentity POST_DETAIL: Replace broken 'and not selected_tab'
condition with structural differentiator using main_feed_action_bar.
Posts opened from feed retain feed_tab selected, which was causing
misclassification as HOME_FEED → LLM fallback → OWN_PROFILE hallucination
→ permanent Qdrant cache poisoning.
3. ActionMemory VLM verification: When VLM returns JSON instead of YES/NO,
treat as inconclusive (fall through to structural delta) rather than
hard failure. Only return False when response explicitly contains 'no'.
4 new E2E regression tests, 75/75 pass, zero regressions.
- GrowthBrain.select_task() uses weighted random from concrete Task objects
- Removed self.goals from Config (no longer reads goals: from config.yml)
- Mission + plugins are now the SSOT for bot behavior
The bot no longer receives abstract strings like 'Nurture my community' that
the LLM Brain can't operationalize. Instead, the GoalDecomposer generates
Task(browse_feed, HomeFeed, budget=7) which routes to concrete feed loops.
18/18 TDD tests passing.
Introduces the GoalDecomposer class that bridges mission.strategy + plugin
capabilities into concrete, weighted Task objects. Each Task has a target
screen, budget, weight, and human-readable intent.
Key design decisions:
- Pure logic, zero LLM/device dependencies
- Strategy weights (aggressive_growth, community_builder, etc.) drive selection
- Plugins declare which screens they operate on (multi-screen map)
- Screens need BOTH an action route AND active plugin to be viable
- Frozen dataclass ensures Task immutability
12/12 TDD tests passing.
