The clone's opencode.json inherited the main repo's top-level 'model'
field (zai/glm-5) via 'git clone'. The tier2-autonomous agent has its
own 'model: minimax-coding-plan/MiniMax-M3' override, so the default
agent path was technically correct, but any other agent spawned without
an explicit model (or if the user manually switched to build/plan)
would have used zai/glm-5 instead of MiniMax-M3.
Fix:
1. Add top-level 'model: minimax-coding-plan/MiniMax-M3' to
conductor/tier2/opencode.json.fragment.
2. setup_tier2_clone.ps1 merge now overrides 'model' from the fragment
(was only overriding agent, permission, default_agent).
3. Added test_config_fragment_has_top_level_model (default-on) to
assert the fragment's model field.
4. Added test_setup_script_overrides_model (opt-in TIER2_SANDBOX_TESTS=1)
to assert the merge code.
All 17 tests pass (14 default-on + 3 opt-in).
Verified: re-ran setup against the live clone; opencode.json's
top-level 'model' is now minimax-coding-plan/MiniMax-M3.
Follow-up to 9cd85364. The previous fix patched the OpenCode session-
level permission.read/write allowlist to include the sandbox clone
path, but Tier 2 was still hitting 'ACCESS DENIED' on clone paths.
Root cause: the MCP server has its OWN allowlist that's separate from
OpenCode's session-level permission. The MCP server's allowlist =
project_root (parent dir of the script) + extra_dirs from
mcp_paths.toml in the project root. The clone inherited the main
repo's mcp.manual-slop.command via 'git clone', which launched
C:\\projects\\manual_slop\\scripts\\mcp_server.py with
PYTHONPATH=C:\\projects\\manual_slop\\src. So the MCP server was
using the main repo's project_root + the main repo's mcp_paths.toml
(extra_dirs=['C:/projects/gencpp']) -- exactly the
'Allowed base directories are: gencpp, manual_slop' the user saw.
Fix: setup_tier2_clone.ps1 now overrides the clone's mcp.manual-slop
config to point at the CLONE's scripts/mcp_server.py and src/, and
replaces the clone's mcp_paths.toml with an empty extra_dirs list.
The MCP server's allowlist becomes [C:\\projects\\manual_slop_tier2]
only -- the sandbox boundary.
Added test_setup_script_overrides_mcp_server (text-based regression)
to assert the script contains the required overrides. Opt-in via
TIER2_SANDBOX_TESTS=1.
Verified: re-ran setup against the live clone. opencode.json now has
mcp.manual-slop.command pointing at C:\\projects\\manual_slop_tier2\\
scripts\\mcp_server.py with PYTHONPATH=C:\\projects\\manual_slop_tier2\\
src. mcp_paths.toml has 'extra_dirs = []'.
Regression: a Tier 2 session was denied access to
C:\\projects\\manual_slop_tier2\\scripts\\run_tests_batched.py
with 'Allowed base directories are: gencpp, manual_slop'. The
tier2-autonomous agent had a correct permission.read allowlist, but
the top-level permission block (inherited from the main repo's
opencode.json via 'git clone') had no read/write keys, and OpenCode
uses the top-level for the default agent path. The agent's
permission.read was merged but apparently not enforced for the
default-agent access check.
Fix:
1. Add a top-level 'permission' block to
conductor/tier2/opencode.json.fragment with:
- permission.edit: 'deny' (default agents locked down)
- permission.read: deny *, allow sandbox clone + app-data dirs
- permission.write: same
- permission.bash: deny *, allowlist of read-only git commands +
uv run python scripts/{run_tests_batched.py,tier2/*} + basic
shell commands. git push/checkout/restore/reset remain denied.
2. Update setup_tier2_clone.ps1 to also patch the top-level
'permission' block (was only merging the tier2-autonomous agent
block). The script preserves the user's mcp, model, instructions,
watcher, and plugin settings from the inherited opencode.json.
3. Update test_tier2_slash_command_spec.py:
- Rename test_command_fetches_origin_main -> ..._master (we
changed the slash command on 2026-06-17).
- Add test_config_fragment_has_top_level_permission to assert
the new top-level permission block has the right deny-all +
allowlist shape.
The tier2-autonomous agent's permission block is unchanged; it
overrides the top-level for that agent's tool calls.
User indicated they want tier 1 to investigate ('something feels
architecturally wrong'). Investigation summary:
ROOT CAUSE: imgui.set_window_focus('Response') called on the same
frame as the response render, when _trigger_blink is set by
_handle_ai_response. The native call exhausts the main thread's
1.94MB stack.
VERIFIED: disabling _trigger_blink and _autofocus_response_tab makes
the test PASS. The process survives, the response event arrives with
correct error text.
HISTORY CHECK (git log -S):
- _trigger_blink: pre-existing since March 2026 (c88330cc feat(hot-
reload) Exhaustive region grouping for module-level render funcs)
- _autofocus_response_tab: pre-existing since March 6 2026 (0e9f84f0
'fixing')
- set_window_focus in render_response_panel: pre-existing since
96a013c3 'fixes and possible wip gui_2/theme_2 for multi-viewport'
- response event flow: pre-existing since 68861c07 feat(mma):
Decouple UI from API calls using UserRequestEvent and AsyncEventQueue
- FR1 (send_result error routing): commit 24ba2499 (Jun 15 2026) in
public_api_migration_and_ui_polish_20260615 track
The jank is OLDER than the user thinks. The most likely explanation:
the test was never run as part of the regular tier-3 batch, so the
crash was masked by the Isolated-Pass Verification Fallacy.
QUESTIONS FOR TIER 1:
1. Is _trigger_blink a sound design?
2. Should imgui focus changes be deferred to next frame's idle phase?
3. Is there a general principle that no native imgui call should be
made during the same frame as a draw call?
PROPOSED MINIMAL FIX: defer set_window_focus to next frame's idle
phase via a _pending_focus_response flag handled in
_process_pending_gui_tasks (which runs before the render).
User asked: 'what does negative flows cause in the imgui procedural
dag graph that would cause a recursive processing of the stack?'
Tested 4 hypotheses:
1. PYTHONSTACKSIZE env var to bump main thread stack: IGNORED. Main
thread stays at 1.94MB regardless of env var or PE header (PE
header SizeOfStackReserve is 4TB but Windows OS uses its own
default for the main thread commit size).
2. -X faulthandler: doesn't capture native STATUS_STACK_OVERFLOW
(faulthandler only catches Python-level signals).
3. Editbin /STACK: editbin not installed on this system.
4. PE header patching with ctypes: SizeOfStackReserve is 4TB but the
OS commits only 1.94MB for the main thread and Python doesn't
honor any env var to change it.
The breakthrough: monkey-patched _handle_ai_response via sitecustomize
to disable _trigger_blink and _autofocus_response_tab. Result:
WITHOUT _trigger_blink: process survives 60s, response event
arrives with status='error' and correct error text. The test
WOULD PASS.
WITH _trigger_blink (default): process dies with 0xC00000FD
(STATUS_STACK_OVERFLOW) within 1s of click.
The jank: in src/gui_2.py:render_response_panel (line 5537), the
_trigger_blink flag triggers imgui.set_window_focus('Response') on
the SAME frame as the response render. This native imgui call
apparently triggers imgui-bundle to do extra C++ draw work that
exhausts the main thread's 1.94MB stack.
Why negative_flows specifically: it's the ONLY tier-3 test where the
error response triggers the _trigger_blink path. Success responses
also trigger _trigger_blink but don't crash (perhaps because imgui-
bundle's layout calculations for an error overlay are heavier than
for a normal text response).
User predicted: 'i wont solve it but just pad out until failure'.
Confirmed - bumping stack didn't fix it (couldn't bump anyway, but
the prediction about recursion-related behavior is on track).
The fix (per user's framing 'needs to be guarded'): wrap the
set_window_focus call in render_response_panel in a try/except or
add a stack-depth guard before calling it. Or move the
_trigger_blink logic to a deferred frame to avoid the same-frame
race with the response render.
Per user question about whether execution is properly isolated between
AppController and gui_2.py main thread.
Verified by reading the architecture contract (docs/guide_architecture.md
lines 12, 884-890) and the two click handlers in question:
- _handle_generate_send (btn_gen_send): self.submit_io(worker)
- _cb_plan_epic (btn_mma_plan_epic): self.submit_io(_bg_task)
BOTH click handlers return immediately after submitting work. The
heavy AI call (ai_client.send -> subprocess.Popen -> process.communicate)
runs on the io_pool worker thread. The execution isolation between
AppController and gui_2.py's main render thread IS being followed.
The crash (STATUS_STACK_OVERFLOW, 0xC00000FD) is NOT in the click
handler chain. It IS in the main thread's imgui-bundle render loop.
The render loop runs concurrently with the io_pool worker's subprocess
operations. imgui-bundle's per-frame C++ draw code can exceed the main
thread's 1.94 MB stack (verified via kernel32.GetCurrentThreadStackLimits).
What aspect of negative_flows triggers this: the error-response render
path. MOCK_MODE=malformed_json causes the adapter to raise, which
triggers _handle_request_event to emit a 'response' event with
status='error'. The render loop draws this error response on the next
frame, exhausting the main thread's stack.
test_visual_orchestration.py uses the same provider setup but does NOT
set MOCK_MODE, so the mock defaults to 'success' mode, the adapter
returns normally, no error event, no crash. Empirically PASSED in
11.01s.
The architecture's render-loop contract assumes imgui-bundle's C stack
usage is bounded. It's not. The architecture has no enforcement
mechanism (no stack guard, no per-frame stack measurement, no graceful
degradation).
Next step (post-compact): capture Windows crash dump via procdump to
identify the specific imgui-bundle draw call.
User asked why this test is uniquely affected. Answer: it's the ONLY
tier-3 test where the AI call runs ASYNCHRONOUSLY in the io_pool worker
while the imgui-bundle render loop continues on the main thread.
Verified: test_visual_orchestration.py::test_mma_epic_lifecycle uses
the same provider setup (gemini_cli + mock_gemini_cli.py + click) but
calls orchestrator_pm.generate_tracks() synchronously in the main
thread, blocking the render loop. It PASSES in 11s.
test_mma_step_mode_sim.py::test_mma_step_mode_approval_flow also uses
the async path but is @pytest.mark.skipif(not RUN_MMA_INTEGRATION) -
skipped by default. Would likely also crash if unsuppressed.
All other MockProvider tests short-circuit at ai_client.send and never
spawn a subprocess.
The crash is on the MAIN thread (1.94 MB stack, verified via
kernel32.GetCurrentThreadStackLimits), not the io_pool worker (which
has 8MB after threading.stack_size(8MB) patch). The main thread's
imgui-bundle render loop runs concurrently with the io_pool worker's
subprocess.Popen / process.communicate. The accumulated imgui-bundle
C++ frames exhaust the main thread's 1.94 MB stack.
This explains:
- Why bumping io_pool stack to 8MB doesn't help (the patch can't reach
the main thread, which was created before any sitecustomize runs).
- Why the standalone subprocess call works (no render loop concurrent).
- Why the no-click baseline survives 60s (no AI call to trigger the race).
Next step: capture a Windows crash dump via procdump or cdb.exe to
confirm the crashing thread is the main thread and identify the
specific imgui-bundle C++ stack frame.
The Tier 2 sandbox blocks git push (and all other destructive git ops).
After Tier 2 finishes a track, this script is the bridge: it fetches the
tier2/<track> branch from the sandboxed clone (C:\projects\manual_slop_tier2)
into the main repo (C:\projects\manual_slop), creating a local
review/<track> branch so the working tree is untouched.
Usage:
pwsh -File scripts\\tier2\\fetch_tier2_branch.ps1 -TrackName send_result_to_send_20260616
Supports -WhatIf for dry-run. Does NOT push to origin (user's call).
End-of-track report following the same format as
TRACK_COMPLETION_tier2_autonomous_sandbox_20260616.md. Documents:
- 24-commit inventory (10 atomic renames + 14 plan/script commits)
- All 6 phases completed, all 9 verification flags = true
- Pre-existing failures (7 tests, all credentials.toml, confirmed
against origin/master baseline where they also fail)
- 2 surgical doc fixes in error_handling.md (deprecation section +
line 204 contradiction)
- Sandbox enforcement contracts held (4 of 4 hard bans + 4 of 4
secondary contracts)
- User handoff instructions (fetch + diff + merge + per-commit review)
The track is the first end-to-end test of the tier2_autonomous_sandbox;
this report is the final deliverable for that test.
Phase 6 tasks (t6_1, t6_2, t6_3) and the phase itself marked completed.
All 16 task entries now have status=completed.
All 6 phase entries now have status=completed.
This is the final state.toml commit for the track.
Track marked shipped 2026-06-17. All 6 verification criteria evaluated
with PASS/EXCEEDED/READY status and notes. 7 pre-existing test failures
documented with root cause and pre_existing_failures_remaining flag.
Risk register updated: scope_creep=none, behavior_change=none,
doc_drift=medium (error_handling.md deprecation section required
surgical rewrite to historical note).
No deferred_to_followup_tracks (this track completed cleanly).
Final grep: 0 send_result in active code. 3 historical refs in
error_handling.md (intentional, in the 'Historical deprecation' note).
Test verification: 100/101 tests pass in the 26 files renamed by this
track. 1 pre-existing failure in test_headless_service.py due to
missing credentials.toml (verified against origin/master baseline
where it also fails - unrelated to the rename).
Final grep: 0 send_result in active code. 3 historical refs in
error_handling.md (intentional, in the 'Historical deprecation' note).
Test verification: 100/101 tests pass in the 26 files renamed by this
track. 1 pre-existing failure in test_headless_service.py due to
missing credentials.toml (verified against origin/master baseline
where it also fails - unrelated to the rename).
7 broader suite failures all pre-existing (all FileNotFoundError on
credentials.toml, confirmed against origin/master baseline).
Track verification:
- git grep send_result: 0 in active code (3 historical intentional)
- Full test suite: matches pre-rename baseline (7 pre-existing failures
unrelated to the rename, 0 new regressions)
Doc consistency: guide_ai_client.md, guide_app_controller.md, and
the error_handling styleguide now reference the new symbol name.
Also fixes two consistency issues in error_handling.md introduced by
the mechanical rename:
1. The 'Deprecation: send -> send_result' section (lines 623-642) was
rewritten as a 'Historical deprecation (added 2026-06-15, reverted
2026-06-16)' note that points to the relevant track specs.
2. Line 204 (the 'Current State Audit' summary for src/ai_client.py)
had a self-contradictory claim ('send() is the new public API;
send() is @deprecated') after the rename. Updated to describe
the canonical public API.
Historical archives (conductor/tracks/*/spec.md, conductor/tracks/*/plan.md,
docs/reports/*) are NOT modified - they document the 2026-06-15
public_api_migration decision and stay as historical record.
Batch rename of 22 test files. 62 references renamed total.
The full test suite is now GREEN again, matching the pre-rename baseline
from Task 1.1. Pure mechanical rename. No behavior change.
Files affected: test_ai_cache_tracking, test_ai_client_cli,
test_ai_client_result, test_api_events, test_context_pruner,
test_deepseek_provider, test_gemini_cli_* (3 files), test_gui2_mcp,
test_headless_* (2 files), test_live_gui_integration_v2,
test_orchestration_logic, test_phase6_engine, test_rag_integration,
test_run_worker_lifecycle_abort, test_spawn_interception_v2,
test_symbol_parsing, test_tier4_interceptor, test_tiered_aggregation,
test_token_usage.
Note: spec estimated 24 files; actual is 22 (test_deprecation_warnings
no longer exists, and 1 fewer file than spec's list).
Refs: conductor/tracks/send_result_to_send_20260616/
Renames 10 references across app_controller, conductor_tech_lead,
mcp_client (docstring example), multi_agent_conductor, orchestrator_pm.
5 call sites in ai_client.send_result(...) -> ai_client.send(...)
3 print strings mentioning send_result
1 docstring comment (conductor_tech_lead)
1 docstring example (mcp_client) 'src.ai_client.send_result' -> 'src.ai_client.send'
Test suite state: still red, but all src/-level call sites are now
renamed. Remaining failures are in test files (mocks and patches
that still reference send_result).
Refs: conductor/tracks/send_result_to_send_20260616/
The TDD red moment. The implementation is renamed but the call sites
in src/, tests/, and docs still use send_result. Subsequent commits
rename the call sites and progressively move the test suite back to
green.
10 references renamed in src/ai_client.py:
- 4 'Called by: send_result' docstring tags in private provider helpers
- 1 function definition (def send_result -> def send)
- 1 [C: ...] SDM tag referencing test function names
- 2 monitor component names (start_component / end_component)
- 2 error source strings (CONFIG + INTERNAL)
Also adds scripts/tier2/apply_t1_1_edits.py - the helper script that
applied the 10 edits. Kept in scripts/tier2/ as a record of the
mechanical change pattern.
Refs: conductor/tracks/send_result_to_send_20260616/
The previous exclusion list had 'gemini_native' which is
NOT a real function name in src/ai_client.py. The actual
function is _send_gemini_cli (already migrated to
run_with_tool_loop via send_func + on_pre_dispatch in
commit 4748d134).
The current deferred vendors are now correctly:
- anthropic (uses anthropic SDK)
- gemini (uses google-genai streaming)
- deepseek (uses requests.post)
These will be addressed in Phase 5 t5_6/7/8. When those
ship, the DEFERRED_VENDORS frozenset should be emptied
so the audit gates the migration.
Verified: script still passes; gemini_cli's run_with_tool_loop
usage is detected correctly.
Phase 2 task 2.4 (the script part). The script enforces:
PROVIDERS is declared as a literal only in src/ai_client.py.
The __getattr__ re-export in src/models.py is allowed (it
lazy-imports, not a literal declaration).
Catches the literal pattern 'PROVIDERS: List[str] = ['
specifically, which the __getattr__ re-export does not
match.
OK: passes against current state where PROVIDERS is
declared only in src/ai_client.py:56.
Task 1.8 (the plan's numbering: 'Add audit script'). Audit checks
that no _send_<vendor> in src/ai_client.py contains an inline
'for round_idx in range(MAX_TOOL_ROUNDS' loop. The audit excludes
the 4 vendored-call-path vendors (anthropic, gemini, gemini_native,
deepseek) which are documented in state.toml's deferred_work
section as future work (they use their own SDKs and need
separate per-vendor conversion to OpenAICompatibleRequest).
state.toml:
- t1_7 (Apply to 4 inline-loop vendors): completed for
_send_gemini_cli only. Anthropic + Gemini + DeepSeek deferred.
- t1_8 (Add audit script): in_progress.
- t1_7 reuses commit 4748d134 (the send_func + on_pre_dispatch
refactor that introduced the new helper pattern for
vendored call paths).
OK: audit passes against the current 4 OpenAI-compat vendors
(minimax, grok, llama, qwen still uses _dashscope_call but
has no inline loop) + gemini_cli.
ed