\n>

📊 Macroscope summarized 7a89948. 3 files reviewed, 1 issue evaluated, 0 issues filtered, 1 comment posted

\n>\n> ### 🗂️ Filtered Issues\n>\n>

\n>\n\n\n\n\n## Summary by CodeRabbit\n\n* **New Features**\n * Added a supervisor mode to run continuous realtime enrichment as a long-lived background service with configurable limits, lookback window, and idle polling.\n * CLI gains a --supervisor option and improved graceful SIGTERM/SIGINT shutdown with propagated exit codes.\n * LaunchAgent updated to directly run the enrichment supervisor as a background process (no shell respawn loop).\n\n* **Tests**\n * New and extended tests covering supervisor control flow, signal handling, retries/backoff, observability, and LaunchAgent arguments.\n\n\n\n[![Review Change Stack](https://storage.googleapis.com/coderabbit_public_assets/review-stack-in-coderabbit-ui.svg)](https://app.coderabbit.ai/change-stack/EtanHey/brainlayer/pull/306?utm_source=github_walkthrough&utm_medium=github&utm_campaign=change_stack)\n\n\n\n\n\n---\n\n> [!NOTE]\n> **Medium Risk**\n> Changes how realtime enrichment runs under `launchd` by introducing a long-lived supervisor loop with signal handling and new defaults, which could impact background job stability and throughput if misconfigured. Test coverage is added, but behavior changes are operationally significant.\n> \n> **Overview**\n> Switches realtime enrichment from a `launchd`-driven shell `while true` respawn loop to a first-class `--supervisor` mode that keeps a single `VectorStore` open and repeatedly runs realtime enrichment, sleeping when idle and continuing past per-cycle errors.\n> \n> Updates `brainlayer enrich` to support `--supervisor` (with SIGTERM/SIGINT graceful shutdown and explicit `since_hours` defaulting behavior), adds supervisor defaults/tuning (`BRAINLAYER_ENRICH_IDLE_POLL_SECONDS`) in `enrichment_controller`, and revises the enrichment LaunchAgent plist to invoke the supervisor directly; adds regression tests covering CLI routing, supervisor lifecycle/error handling, and plist shape.\n> \n> ^{Reviewed by [Cursor Bugbot](https://cursor.com/bugbot) for commit e96848f4979d8596da89321852c65d3c5d36b81d. Bugbot is set up for automated code reviews on this repo. Configure [here](https://www.cursor.com/dashboard/bugbot).}\n","base","head","base_sha","45dccc5434a73279c6341fd67b36b75009718a04","head_sha","e96848f4979d8596da89321852c65d3c5d36b81d","merge_commit_sha","cce646a0a4434aceadc815fd44d9e9144c8fcaa7","comments","diff","user",{"_266":267,"_180":267,"_306":-5,"_270":271,"_41":268},"commits",2,"changed_files",6,"additions",480,"deletions",15,"email","events",[309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382],{"_153":821,"_384":822},{"_153":399,"_384":816},{"_153":811,"_384":812},{"_153":403,"_384":803},{"_153":403,"_384":796},{"_153":403,"_384":791},{"_153":417,"_384":782},{"_153":417,"_384":777},{"_153":403,"_384":771},{"_153":403,"_384":768},{"_153":417,"_384":758},{"_153":403,"_384":754},{"_153":417,"_384":749},{"_153":403,"_384":745},{"_153":403,"_384":742},{"_153":417,"_384":734},{"_153":403,"_384":730},{"_153":417,"_384":725},{"_153":403,"_384":719},{"_153":417,"_384":713},{"_153":403,"_384":703},{"_153":417,"_384":698},{"_153":403,"_384":694},{"_153":403,"_384":691},{"_153":417,"_384":683},{"_153":403,"_384":679},{"_153":417,"_384":674},{"_153":403,"_384":670},{"_153":403,"_384":667},{"_153":417,"_384":659},{"_153":403,"_384":655},{"_153":417,"_384":650},{"_153":403,"_384":646},{"_153":403,"_384":643},{"_153":417,"_384":635},{"_153":403,"_384":631},{"_153":417,"_384":626},{"_153":403,"_384":622},{"_153":403,"_384":619},{"_153":403,"_384":616},{"_153":417,"_384":606},{"_153":417,"_384":601},{"_153":403,"_384":597},{"_153":403,"_384":594},{"_153":403,"_384":591},{"_153":417,"_384":581},{"_153":417,"_384":576},{"_153":403,"_384":570},{"_153":403,"_384":567},{"_153":403,"_384":564},{"_153":417,"_384":559},{"_153":403,"_384":555},{"_153":403,"_384":551},{"_153":403,"_384":547},{"_153":417,"_384":537},{"_153":417,"_384":532},{"_153":403,"_384":525},{"_153":403,"_384":522},{"_153":417,"_384":513},{"_153":403,"_384":509},{"_153":417,"_384":504},{"_153":403,"_384":500},{"_153":403,"_384":496},{"_153":417,"_384":477},{"_153":403,"_384":473},{"_153":417,"_384":468},{"_153":403,"_384":461},{"_153":403,"_384":454},{"_153":417,"_384":429},{"_153":403,"_384":422},{"_153":417,"_384":418},{"_153":403,"_384":404},{"_153":399,"_384":400},{"_153":383,"_384":385},"turn/completed","params",{"_386":387,"_86":388},"threadId","019e4bd1-82fc-7d00-8cb2-2f5c6c35e3cb",{"_389":390,"_391":392,"_102":-5,"_41":393,"_394":395,"_396":397,"_398":112},"completedAt",1779388591,"durationMs",108537,"019e4bd1-83fd-7662-b6f6-c7c2415ee980","items",[],"startedAt",1779388482,"status","thread/status/changed",{"_398":401,"_386":387},{"_91":402},"idle","rawResponseItem/completed",{"_405":406,"_386":387,"_407":393},"item",{"_408":409,"_410":-5,"_41":-5,"_411":412,"_95":92,"_91":413},"turnId","content",[414],"end_turn","phase","final_answer","message",{"_45":415,"_91":416},"### Summary\n* Fixed supervisor-mode signal cleanup to avoid restoring handlers when `signal.getsignal()` returned `None`, preventing a cleanup-time `TypeError` in `finally`.\n* Added a regression test that simulates `None` prior handlers for SIGTERM/SIGINT and asserts the CLI supervisor path exits successfully without crashing during signal-handler restoration.\n\n**Testing**\n* ✅ `pytest tests/test_cli_enrich.py -q`","output_text","item/completed",{"_405":419,"_386":387,"_407":393},{"_41":420,"_411":412,"_45":415,"_91":421},"msg_0c7070e9c0f7e613016a0f50acc8b48194bdd146f5436cdc7e","agentMessage",{"_405":423,"_386":387,"_407":393},{"_424":425,"_426":427,"_91":428},"call_id","call_vVTS81kEmJeQvVk28UK1EBeM","output","Chunk ID: a4e3ff\nWall time: 0.0001 seconds\nProcess exited with code 0\nOriginal token count: 1152\nOutput:\n 948\t stop_event = threading.Event()\n 949\t\n 950\t def handle_signal(signum, frame):\n 951\t rprint(\"\\n[bold yellow]Stopping enrich supervisor...[/]\")\n 952\t stop_event.set()\n 953\t\n 954\t previous_sigterm = signal.getsignal(signal.SIGTERM)\n 955\t previous_sigint = signal.getsignal(signal.SIGINT)\n 956\t signal.signal(signal.SIGTERM, handle_signal)\n 957\t signal.signal(signal.SIGINT, handle_signal)\n 958\t try:\n 959\t result = run_enrich_supervisor(\n 960\t db_path,\n 961\t limit=limit or DEFAULT_ENRICH_SUPERVISOR_LIMIT,\n 962\t since_hours=since_hours if since_hours is not None else DEFAULT_ENRICH_SUPERVISOR_SINCE_HOURS,\n 963\t stop_event=stop_event,\n 964\t )\n 965\t finally:\n 966\t if previous_sigterm is not None:\n 967\t signal.signal(signal.SIGTERM, previous_sigterm)\n 968\t if previous_sigint is not None:\n 969\t signal.signal(signal.SIGINT, previous_sigint)\n 970\t console.print(\n 971\t f\"[bold green]Done![/] mode={result.mode} cycles={result.cycles} \"\n 972\t f\"attempted={result.attempted} enriched={result.enriched} \"\n 973\t f\"skipped={result.skipped} failed={result.failed}\"\n 974\t )\n 975\t raise typer.Exit(result.exit_code)\n 90\t called = {}\n 91\t\n 92\t def fake_supervisor(db_path, stop_event=None, **kwargs):\n 93\t os.kill(os.getpid(), signal.SIGTERM)\n 94\t called[\"stop_event_set\"] = stop_event.is_set()\n 95\t return SimpleNamespace(\n 96\t mode=\"supervisor\",\n 97\t cycles=1,\n 98\t attempted=1,\n 99\t enriched=1,\n 100\t skipped=0,\n 101\t failed=0,\n 102\t errors=[],\n 103\t exit_code=0,\n 104\t )\n 105\t\n 106\t monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\n 107\t\n 108\t result = runner.invoke(app, [\"enrich\", \"--mode\", \"realtime\", \"--supervisor\"])\n 109\t\n 110\t assert result.exit_code == 0\n 111\t assert called[\"stop_event_set\"] is True\n 112\t assert \"Stopping enrich supervisor\" in result.stdout\n 113\t assert \"mode=supervisor\" in result.stdout\n 114\t\n 115\t\n 116\tdef test_cli_enrich_supervisor_skips_restoring_none_signal_handlers(monkeypatch):\n 117\t monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n 118\t\n 119\t def fake_supervisor(db_path, stop_event=None, **kwargs):\n 120\t return SimpleNamespace(\n 121\t mode=\"supervisor\",\n 122\t cycles=1,\n 123\t attempted=0,\n 124\t enriched=0,\n 125\t skipped=0,\n 126\t failed=0,\n 127\t errors=[],\n 128\t exit_code=0,\n 129\t )\n 130\t\n 131\t monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\n 132\t\n 133\t import signal as _signal\n 134\t\n 135\t original_getsignal = _signal.getsignal\n 136\t original_signal = _signal.signal\n 137\t\n 138\t def fake_getsignal(signum):\n 139\t if signum in (_signal.SIGTERM, _signal.SIGINT):\n 140\t return None\n 141\t return original_getsignal(signum)\n 142\t\n 143\t def fake_signal(signum, handler):\n 144\t if handler is None:\n 145\t raise TypeError(\"handler must not be None\")\n 146\t return original_signal(signum, handler)\n 147\t\n 148\t monkeypatch.setattr(_signal, \"getsignal\", fake_getsignal)\n 149\t monkeypatch.setattr(_signal, \"signal\", fake_signal)\n 150\t\n 151\t result = runner.invoke(app, [\"enrich\", \"--mode\", \"realtime\", \"--supervisor\"])\n 152\t\n 153\t assert result.exit_code == 0\n 154\t\n 155\t\n 156\tdef test_cli_enrich_mode_batch_submit_routes_to_cloud_backfill(monkeypatch):\n 157\t monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n 158\t called = {}\n 159\t\n 160\t def fake_backfill(db_path, model, dry_run=False, sample=0, no_sanitize=False, submit_only=False):\n 161\t called.update(\n 162\t {\n 163\t \"db_path\": str(db_path),\n 164\t \"model\": model,\n 165\t \"dry_run\": dry_run,\n","function_call_output",{"_405":430,"_386":387,"_407":393},{"_431":432,"_433":434,"_435":436,"_437":438,"_391":31,"_439":31,"_41":425,"_440":441,"_442":443,"_398":112,"_91":444},"aggregatedOutput"," 948\t stop_event = threading.Event()\n 949\t\n 950\t def handle_signal(signum, frame):\n 951\t rprint(\"\\n[bold yellow]Stopping enrich supervisor...[/]\")\n 952\t stop_event.set()\n 953\t\n 954\t previous_sigterm = signal.getsignal(signal.SIGTERM)\n 955\t previous_sigint = signal.getsignal(signal.SIGINT)\n 956\t signal.signal(signal.SIGTERM, handle_signal)\n 957\t signal.signal(signal.SIGINT, handle_signal)\n 958\t try:\n 959\t result = run_enrich_supervisor(\n 960\t db_path,\n 961\t limit=limit or DEFAULT_ENRICH_SUPERVISOR_LIMIT,\n 962\t since_hours=since_hours if since_hours is not None else DEFAULT_ENRICH_SUPERVISOR_SINCE_HOURS,\n 963\t stop_event=stop_event,\n 964\t )\n 965\t finally:\n 966\t if previous_sigterm is not None:\n 967\t signal.signal(signal.SIGTERM, previous_sigterm)\n 968\t if previous_sigint is not None:\n 969\t signal.signal(signal.SIGINT, previous_sigint)\n 970\t console.print(\n 971\t f\"[bold green]Done![/] mode={result.mode} cycles={result.cycles} \"\n 972\t f\"attempted={result.attempted} enriched={result.enriched} \"\n 973\t f\"skipped={result.skipped} failed={result.failed}\"\n 974\t )\n 975\t raise typer.Exit(result.exit_code)\n 90\t called = {}\n 91\t\n 92\t def fake_supervisor(db_path, stop_event=None, **kwargs):\n 93\t os.kill(os.getpid(), signal.SIGTERM)\n 94\t called[\"stop_event_set\"] = stop_event.is_set()\n 95\t return SimpleNamespace(\n 96\t mode=\"supervisor\",\n 97\t cycles=1,\n 98\t attempted=1,\n 99\t enriched=1,\n 100\t skipped=0,\n 101\t failed=0,\n 102\t errors=[],\n 103\t exit_code=0,\n 104\t )\n 105\t\n 106\t monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\n 107\t\n 108\t result = runner.invoke(app, [\"enrich\", \"--mode\", \"realtime\", \"--supervisor\"])\n 109\t\n 110\t assert result.exit_code == 0\n 111\t assert called[\"stop_event_set\"] is True\n 112\t assert \"Stopping enrich supervisor\" in result.stdout\n 113\t assert \"mode=supervisor\" in result.stdout\n 114\t\n 115\t\n 116\tdef test_cli_enrich_supervisor_skips_restoring_none_signal_handlers(monkeypatch):\n 117\t monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n 118\t\n 119\t def fake_supervisor(db_path, stop_event=None, **kwargs):\n 120\t return SimpleNamespace(\n 121\t mode=\"supervisor\",\n 122\t cycles=1,\n 123\t attempted=0,\n 124\t enriched=0,\n 125\t skipped=0,\n 126\t failed=0,\n 127\t errors=[],\n 128\t exit_code=0,\n 129\t )\n 130\t\n 131\t monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\n 132\t\n 133\t import signal as _signal\n 134\t\n 135\t original_getsignal = _signal.getsignal\n 136\t original_signal = _signal.signal\n 137\t\n 138\t def fake_getsignal(signum):\n 139\t if signum in (_signal.SIGTERM, _signal.SIGINT):\n 140\t return None\n 141\t return original_getsignal(signum)\n 142\t\n 143\t def fake_signal(signum, handler):\n 144\t if handler is None:\n 145\t raise TypeError(\"handler must not be None\")\n 146\t return original_signal(signum, handler)\n 147\t\n 148\t monkeypatch.setattr(_signal, \"getsignal\", fake_getsignal)\n 149\t monkeypatch.setattr(_signal, \"signal\", fake_signal)\n 150\t\n 151\t result = runner.invoke(app, [\"enrich\", \"--mode\", \"realtime\", \"--supervisor\"])\n 152\t\n 153\t assert result.exit_code == 0\n 154\t\n 155\t\n 156\tdef test_cli_enrich_mode_batch_submit_routes_to_cloud_backfill(monkeypatch):\n 157\t monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n 158\t called = {}\n 159\t\n 160\t def fake_backfill(db_path, model, dry_run=False, sample=0, no_sanitize=False, submit_only=False):\n 161\t called.update(\n 162\t {\n 163\t \"db_path\": str(db_path),\n 164\t \"model\": model,\n 165\t \"dry_run\": dry_run,\n","command","/bin/bash -lc \"cd /workspace/brainlayer && nl -ba src/brainlayer/cli/__init__.py | sed -n '948,975p' && nl -ba tests/test_cli_enrich.py | sed -n '90,165p'\"","commandActions",[445,446],"cwd","/workspace/brainlayer","exitCode","processId","78718","source","unifiedExecStartup","commandExecution",{"_433":451,"_180":452,"_160":453,"_91":450},{"_433":447,"_180":448,"_160":449,"_91":450},"nl -ba tests/test_cli_enrich.py","test_cli_enrich.py","/workspace/brainlayer/tests/test_cli_enrich.py","read","nl -ba src/brainlayer/cli/__init__.py","__init__.py","/workspace/brainlayer/src/brainlayer/cli/__init__.py",{"_405":455,"_386":387,"_407":393},{"_456":457,"_424":425,"_41":-5,"_180":458,"_459":-5,"_91":460},"arguments","{\"cmd\":\"cd /workspace/brainlayer && nl -ba src/brainlayer/cli/__init__.py | sed -n '948,975p' && nl -ba tests/test_cli_enrich.py | sed -n '90,165p'\"}","exec_command","namespace","function_call",{"_405":462,"_386":387,"_407":393},{"_408":-5,"_463":464,"_41":-5,"_465":466,"_91":467},"encrypted_content","gAAAAABqD1CqPOWY8kPwan_g7LCLTzL4onPhex3gc_ZaEJLCYNIidnSmKrbpzCIUmVA0LgCnD3Em1j5j550lLi9e5ylgQzhmD3UoStESNkqFvow9U_YVQJzPYp44cg1UYADZcCZsOxQrtQqatb3Zv0TsxfGlAtA_qEmWqhj8o0gGFqFRkTpgb4J_zgZC8ECHLoycXpZpTRvQNVHPiM1Iei__ZaKdfpyaRRgPtj345DmI-14_gysw2tN-1EqN0XU10U5zLtVBNmscYpU1xOhnJKSuPGNWKuE0s-XQK1hYVcy0opKleupE9Se0xjlkcwBV1rhzGp9yBp434LqfUDF7r14Nk40KSVgkZX4xC_DVJu42gN3iXJUA69yWauj9br69IufioQeBZPZILv-ja1j56b3svYOujUBH_O6L6r-zrA-7k1CRZM6UC4JSzYW2NansrJ7Nxw4HigEzhvxMkdgcNSuVJUq6MFJMU5xPt2El3LXbeXLj9CjhKDIO7bN4pl0829XXn_1d9R4gHjS6nZWFrxgiYfzeEU-PjugruklSHqk6QIHVVKL-oA-6Qkr4YZke0IyViWOUc6V5f7NZlDlGlh9MeT20POY4RLV_KSlNC4M9ieijQPI8ADjUC6eRJ7sWYNhO1UiBWUIJxCSMfX1e-TlrXZQYf0oyMQnefp6Yuznin67UtbTd0STuOfYvOmXKE1effQovZxz_ZI8OG66r0l8vej_fM6wxFd-ypqcP8uSt4fGih2ZWMqXiOgq1j6_4Jsaeha4ZMFZ8yRdfIJP5DpkvKOxv6SMc_wILyosg-JVn0fB3tlVrF_Jm7_8BaBL5dv_33UnhS-3QsC2Ap6j-N1iupJIgdTKZoNEvMDTMkiVZUuEk7Whtpbu_AuZvxC4JROvwaNqweMeZOWZpMhdSCLNBvOGCNuwk6HqSUKjxLIQawsimVfONaaEkSIktlK529wZyHD44ot6x","summary",[],"reasoning",{"_405":469,"_386":387,"_407":393},{"_408":470,"_41":471,"_465":472,"_91":467},[],"rs_0c7070e9c0f7e613016a0f50aa48b8819482a54522c3d37128",[],{"_405":474,"_386":387,"_407":393},{"_424":475,"_426":476,"_91":428},"call_SyfLJdewdC1NTYPQZT2JSzvd","Wall time: 0.0106 seconds\nOutput:\n{\"title\":\"[Follow-up] fix supervisor signal handler restoration edge case\",\"body\":\"## Summary\\nThis follow-up PR addresses a reviewer-reported edge case in the enrich supervisor CLI path.\\n\\n### What changed\\n- Guarded signal handler restoration in `enrich --mode realtime --supervisor` so we only restore prior handlers when they are not `None`.\\n- Added a regression test that simulates `signal.getsignal()` returning `None` for SIGTERM/SIGINT and verifies the command exits cleanly without crashing in cleanup.\\n\\n## Why\\n`signal.getsignal()` may return `None` when the previous handler was not installed from Python. Passing `None` into `signal.signal()` can raise `TypeError` during cleanup. This patch prevents cleanup-time crashes in that scenario.\\n\\n## Validation\\n- Ran: `pytest tests/test_cli_enrich.py -q`\\n- Result: 12 passed\"}",{"_405":478,"_386":387,"_407":393},{"_456":479,"_391":480,"_102":-5,"_41":475,"_481":-5,"_482":483,"_484":485,"_398":112,"_486":485,"_91":487},{"_282":492,"_284":493},10,"mcpAppResourceUri","result",{"_488":-5,"_408":489,"_490":491},"server","make_pr","tool","mcpToolCall","_meta",[494],"structuredContent",{"_282":492,"_284":493},"[Follow-up] fix supervisor signal handler restoration edge case","## Summary\nThis follow-up PR addresses a reviewer-reported edge case in the enrich supervisor CLI path.\n\n### What changed\n- Guarded signal handler restoration in `enrich --mode realtime --supervisor` so we only restore prior handlers when they are not `None`.\n- Added a regression test that simulates `signal.getsignal()` returning `None` for SIGTERM/SIGINT and verifies the command exits cleanly without crashing in cleanup.\n\n## Why\n`signal.getsignal()` may return `None` when the previous handler was not installed from Python. Passing `None` into `signal.signal()` can raise `TypeError` during cleanup. This patch prevents cleanup-time crashes in that scenario.\n\n## Validation\n- Ran: `pytest tests/test_cli_enrich.py -q`\n- Result: 12 passed",{"_91":45,"_45":495},"{\n \"title\": \"[Follow-up] fix supervisor signal handler restoration edge case\",\n \"body\": \"## Summary\\nThis follow-up PR addresses a reviewer-reported edge case in the enrich supervisor CLI path.\\n\\n### What changed\\n- Guarded signal handler restoration in `enrich --mode realtime --supervisor` so we only restore prior handlers when they are not `None`.\\n- Added a regression test that simulates `signal.getsignal()` returning `None` for SIGTERM/SIGINT and verifies the command exits cleanly without crashing in cleanup.\\n\\n## Why\\n`signal.getsignal()` may return `None` when the previous handler was not installed from Python. Passing `None` into `signal.signal()` can raise `TypeError` during cleanup. This patch prevents cleanup-time crashes in that scenario.\\n\\n## Validation\\n- Ran: `pytest tests/test_cli_enrich.py -q`\\n- Result: 12 passed\"\n}",{"_405":497,"_386":387,"_407":393},{"_456":498,"_424":475,"_41":-5,"_180":485,"_459":499,"_91":460},"{\"title\":\"[Follow-up] fix supervisor signal handler restoration edge case\",\"body\":\"## Summary\\nThis follow-up PR addresses a reviewer-reported edge case in the enrich supervisor CLI path.\\n\\n### What changed\\n- Guarded signal handler restoration in `enrich --mode realtime --supervisor` so we only restore prior handlers when they are not `None`.\\n- Added a regression test that simulates `signal.getsignal()` returning `None` for SIGTERM/SIGINT and verifies the command exits cleanly without crashing in cleanup.\\n\\n## Why\\n`signal.getsignal()` may return `None` when the previous handler was not installed from Python. Passing `None` into `signal.signal()` can raise `TypeError` during cleanup. This patch prevents cleanup-time crashes in that scenario.\\n\\n## Validation\\n- Ran: `pytest tests/test_cli_enrich.py -q`\\n- Result: 12 passed\"}","mcp__make_pr__",{"_405":501,"_386":387,"_407":393},{"_408":-5,"_463":502,"_41":-5,"_465":503,"_91":467},"gAAAAABqD1Cmp2F29eWoK15mLqbfiBWQwCj1UGyp3z2zkpBjjlP9TpRVsjZVBP8Qg_AJW3B6mdE10EVUQR7rsnPk9ffz0n8LNPiDGtf10V0FaUz6UC2IIDmiLBKPyYMxMcNx2CypX9D7rx2FVDQlJSGeTog1KuNfmUXrDzp8GDLXyl3Wt5vd4visgnk3KYsrzrsG06TSQedDusQzqJ8_dx9h1MWm3_eGnCiSpR1eZCLr2G4sSJN_fEexpuSjB4p6tryQrOVrrA1F0owz_CZffNwxtGwONlkL9VMtLG9PKsjccNzTW_W8IpUE89tIuWuIVVYustpIFs65-3I2sXMOWqNjIzpnR-4IYARKAbaIS0ZvOfkEZYFXJHIkDeA9jLwByzEe5_qRvhztMCfkVBMKrFn5jg4VM-tglmGwY4Rz6yCjcmd6ZKJ13Cywjr2uxk0YYKGsl4aV-cApz656ZpPXhCcR7rQDyXh_2A2Hu8_moP8Db_JqnjrO80gKbjWOpodXxDW6oxHbJr3KqrwVFFs66ArRII3Ic4VwKetLD8zZ-gnp0QrjihE23adYLvVqOzlJZhc4mrTxrtGa7cDl16Vmj67cb9eAvImmz0ar3rT3FCRwZkV9fQvzI9sFyGPPszZdxiRpglD7_vYcJZSD2fPIWQHk0CptrH84zjB9Y-HkISfpighnWVqsAZtm6XuFWVpXRhwCZjXi1l2f4xnmSSDpeKBxuOnRglQZLV3csxm9SE6tnd25RGRTXTWtp88eOo4GNnXkCBNUxNIL0rE7Fxt71bHF_vn7yI7P_kfgVILl-gPLDASGU7HjmFkcNPFd0c5psnQmxUVb_UmVSXijy8gbl7DzmWfu-FFEqgJfJSKaH9nRXyFvN2UfxTX__mfVigoxZd6fqsUOOXPdkdIpQuz-0GRJiD-eI-n29Fgn5S3dD0P-5dFSbxjvhSTacVatjYsV0mnRycv3hLmEb-yMPJF68vVJQK_9lMwn_Q==",[],{"_405":505,"_386":387,"_407":393},{"_408":506,"_41":507,"_465":508,"_91":467},[],"rs_0c7070e9c0f7e613016a0f50a55d5c81948946092ab8da482b",[],{"_405":510,"_386":387,"_407":393},{"_424":511,"_426":512,"_91":428},"call_OVPVgnJ2VGiHbCi0PjYH9yXd","Chunk ID: 42325c\nWall time: 0.0000 seconds\nProcess exited with code 0\nOriginal token count: 32\nOutput:\n[work 5142f2c] fix(cli): avoid restoring None signal handlers in supervisor\n 2 files changed, 44 insertions(+), 2 deletions(-)\n",{"_405":514,"_386":387,"_407":393},{"_431":515,"_433":516,"_435":517,"_437":438,"_391":31,"_439":31,"_41":511,"_440":518,"_442":443,"_398":112,"_91":444},"[work 5142f2c] fix(cli): avoid restoring None signal handlers in supervisor\n 2 files changed, 44 insertions(+), 2 deletions(-)\n","/bin/bash -lc 'cd /workspace/brainlayer && git add src/brainlayer/cli/__init__.py tests/test_cli_enrich.py && git commit -m \"fix(cli): avoid restoring None signal handlers in supervisor\"'",[519],"45213",{"_433":520,"_91":521},"cd /workspace/brainlayer && git add src/brainlayer/cli/__init__.py tests/test_cli_enrich.py && git commit -m \"fix(cli): avoid restoring None signal handlers in supervisor\"","unknown",{"_405":523,"_386":387,"_407":393},{"_456":524,"_424":511,"_41":-5,"_180":458,"_459":-5,"_91":460},"{\"cmd\":\"cd /workspace/brainlayer && git add src/brainlayer/cli/__init__.py tests/test_cli_enrich.py && git commit -m \\\"fix(cli): avoid restoring None signal handlers in supervisor\\\"\"}",{"_405":526,"_386":387,"_407":393},{"_408":-5,"_463":527,"_41":-5,"_465":528,"_91":467},"gAAAAABqD1CkEvhHu9QMCx_xRa0X1NEwDdJDN0y1Scmln_6kXrqkrjTNjnyLRDTdVZKqCTdQFC0ztKE9FIByBmTkuhw089dei4e-sarQW_XB87Q6YNshcyQqrCjo-qHST_bTDZwe4__MgvCPLqj0fnmU3Llj_-LhIXUJj8RoasthKH2v1HhNHyrt48Ku5a_GblVBJ2YMsag1_3sqmR4dZ7VWe-9edQV3gFpw93HZ7I6bEqYz1vyQM76FC4KSmwzvNDHQ44SdZVmW2RjigoXHAZg2TKxif_Y6wzpPtijlN2xabyScomGT7ygPilhqKLyQzwAfxRKsL5kJYsEIoDdV0VjwmUS2-_955n_BDV7ar_kP3Rj1VmtJi0FjCIdfi1Yg1g3P1TqaIAtCKYWMvcVeEgqad6iL4KzSZFFjjVwzzdNGyNP3GdC_Nm5bMqV6VZpkRm3FSMM9Kov14HbE68lqrkLecUWJFdukIOI5D6pVPTmsDOzKuJ449ha2EKmllpc-FS30r__GqIopH0WwSFCMaQdPecum5TmGqnCes-6wrE3RmSp1DOA-LdpXgA8aghPp1AyWwPRjTk1j3Lc--SlhdFQSqipcJWC0hnOXGl-uT1K3VegS0YegOSd9ykSggcBEsZt3VFDWYgYCwKlo05-1KeyUHH3v6Ar-2yfxp3vrt5hIfU9oYDW3vVuQvKnOjmMdpZeIDRHZLuG6lNkEeOu1-fHk43LxxaOXlp1REEmLmsbMiR89s8i7bif_H9Jr1PluDiSJhhP4QUTXkJ4WqeCBRnGChmHs6t4x3kM1yaoCdHwNw7zXgpfxYtpbNIua-zDvs04nkd1pfbOPYXhCT5u00AhTKsEI6Zbta7riBHb4t2QrDVlZ3s34_azMzFBlfdJfVE5q_UI1CXnPmesvNkXRHeY3dFAuF5FaWlsV9DTR_Yyy9YfnIf4YZdfc9quLOCqGTn6wB1NuSam9",[529],{"_45":530,"_91":531},"**Executing version control commands**\n\nI’m going to check the status of my Git repository first, which will show me the changes since my last commit. This command tells me what’s been modified, staged, or untracked. After that, I plan to commit my changes to save them in the version history. I’ll likely write a concise commit message describing what I’ve done, keeping a clear record for future reference. I'll make sure every step is done correctly!","summary_text",{"_405":533,"_386":387,"_407":393},{"_408":534,"_41":535,"_465":536,"_91":467},[],"rs_0c7070e9c0f7e613016a0f50a25fbc8194a74f08fb06bd6cf1",[530],{"_405":538,"_386":387,"_407":393},{"_431":539,"_433":540,"_435":541,"_437":438,"_391":542,"_439":31,"_41":543,"_440":544,"_442":443,"_398":112,"_91":444},"............ [100%]\n=============================== warnings summary ===============================\n../../root/.pyenv/versions/3.14.4/lib/python3.14/site-packages/_pytest/config/__init__.py:1434\n /root/.pyenv/versions/3.14.4/lib/python3.14/site-packages/_pytest/config/__init__.py:1434: PytestConfigWarning: Unknown config option: asyncio_mode\n \n self._warn_or_fail_if_strict(f\"Unknown config option: {key}\\n\")\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n12 passed, 1 warning in 35.45s\n","/bin/bash -lc 'cd /workspace/brainlayer && pytest tests/test_cli_enrich.py -q'",[545],41988,"call_xKtiHyRCkXLF05ZgTQLnxlQq","12384",{"_433":546,"_91":521},"cd /workspace/brainlayer && pytest tests/test_cli_enrich.py -q",{"_405":548,"_386":387,"_407":393},{"_424":549,"_426":550,"_91":428},"call_An6dsVxa3RaHbXaq1zubHdhw","Chunk ID: 59ee1d\nWall time: 10.3754 seconds\nProcess exited with code 0\nOriginal token count: 146\nOutput:\n............ [100%]\n=============================== warnings summary ===============================\n../../root/.pyenv/versions/3.14.4/lib/python3.14/site-packages/_pytest/config/__init__.py:1434\n /root/.pyenv/versions/3.14.4/lib/python3.14/site-packages/_pytest/config/__init__.py:1434: PytestConfigWarning: Unknown config option: asyncio_mode\n \n self._warn_or_fail_if_strict(f\"Unknown config option: {key}\\n\")\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n12 passed, 1 warning in 35.45s\n",{"_405":552,"_386":387,"_407":393},{"_456":553,"_424":549,"_41":-5,"_180":554,"_459":-5,"_91":460},"{\"session_id\":12384,\"chars\":\"\",\"yield_time_ms\":120000}","write_stdin",{"_405":556,"_386":387,"_407":393},{"_408":-5,"_463":557,"_41":-5,"_465":558,"_91":467},"gAAAAABqD1CVV1q-uqDfEBwAaVlBNsxNiMI87HBhN4VtwGmluMH-5r9uNRClzfJjoi8Xykc4wrkCcRQtnUSnOojdoCNzbsRuoEo62M7eboSenk4jmRBa2zkdGc0i_qJWWSN7_poxbDJjNd7pECRRad3zJXFvmYdDK7bCzjspcY90WXzZW4PwOOnUiNp7yv9aEnqS_cSBneC2MrgEOYSzVJVHVXzKCOYPv3a-QPcmMLGRno1THQ96_SGNWi7haG3dfQSr1lREch-ejzcGnuPs_ev_fM2QD3fwU-2siCognAx0YxVoaVNQ0qj4TDdJNtuHKfK4LyZk304yklzWSn488amGmH_cA0VT-sF1jcto6XnDByYuS7vpRvkjFfOo6Fkc0_28J2voUQlsW8a7BLau7--gu4BrjcUWraYs4mJ7QUXuF9Hv2aIVqqNmQmtn6QGDlYguENauUT11dhPwmE26yJ39_7mSB_aeH6RYs8hYUTpha2hB83lI6HyoJaNsd_XHUOqdoaOt-mu0PRtC8NJ4T5LQxe2-Mh_jke-MBjjY-5V_yCGkTUYWGHqL6xLdk9i0-BmuBrp500ph-qiuFQbkrftoHj7Xz884YdaXuyfyTwiCTqz6XI3AWUE8eEHz1yBf7BrVJLQAR_k-33F0L_x8JyqWALbK9on-lzcJ5OQxN8ytSutH9O38hcex1jlS3iiZcVpFzjRmrDqMmMCfjQy9x8MC_pBjU-rpr4EijM-m7wrfGFsuBoheHd965Olr-R5Ji5enFGkDSnhW0uoGw4iFjWtd8XxtA2mAMlvqCl0kskvtJPQW369VHcvaoVOcccVkaviIg41NhZiSagWxKwpeMyyKuYZlFbm884N0JjGvT5JLp878WRFrryi8drGB8WCSnt4DuiAKgLFSehWc9fYqRzRLGCazJcXai7gSQnoZTOj-U9kLg9gedNQ=",[],{"_405":560,"_386":387,"_407":393},{"_408":561,"_41":562,"_465":563,"_91":467},[],"rs_0c7070e9c0f7e613016a0f50959d448194aa3e2036406e645b",[],{"_405":565,"_386":387,"_407":393},{"_424":543,"_426":566,"_91":428},"Chunk ID: 546bfe\nWall time: 30.0171 seconds\nProcess running with session ID 12384\nOriginal token count: 0\nOutput:\n",{"_405":568,"_386":387,"_407":393},{"_456":569,"_424":543,"_41":-5,"_180":458,"_459":-5,"_91":460},"{\"cmd\":\"cd /workspace/brainlayer && pytest tests/test_cli_enrich.py -q\", \"yield_time_ms\": 120000}",{"_405":571,"_386":387,"_407":393},{"_408":-5,"_463":572,"_41":-5,"_465":573,"_91":467},"gAAAAABqD1B2xTYarqMOotPmxdpOp62tN7KHliZY-o0QdehbYoeqn9tjXMQShLfMyZPQ8vyYVrBJHyi22h9TksFRUOsvlgCurSpMtuuPqLyzQHyvwSC_ll04lc0gGPs800rdkzjUiT2UjzUIbFa3nJVxlFQfEtvo54hUOq36lbx9C5x5PaHr12PE0B9RV79CpOXca3jVmoKYhfNOrUI-UlxnD-Y0MHjZK1NUT28YZzQ4a2CjsqNQoIFhIpuCKNctw_LHZptRBmPDiQC40sxGMwKDluQ0wXE9XbFiyyKN_rRjrPa69uw1W9dCIPKSpqKkzpp_L-QH9ufb9NhhIjFCX0lMtjEHAoPen3lAjoZ-L1frLjQK3IMom4gKMA6IGQh3DD_QwwJT0-gayO8oWgRPwSTPUHFnCdFJTI0qzsJQjVysN-5Ho51vGtjAHsF8VaibHt-eKmKZu2ZsQ4PM7YDo2Bg5x1OurniMWBcxj8k8KPHpqVN_cp1eVXESZrjioqooj_IZ1rRwxOwv6r4t3UH08lMj9BTScC3ouvpPjBaaFnh-W4BLw9QS-Mo4SVq6CeQlz3BqEh2h5g1h9Sy0tBofkFF9KcHZLNlxM0Gz7yuvLv-_0uRWWNp3pVgX1QaUsDlbSKMbmtmDjld_UFuhXW3Lhu1g_mFtLdAjz0mFDlyljEEPyo-bHiqRQgNrZ3fmCVr3JXQE7VLi812F0PZWm6n-0xnhuD6_-Ujd2tpd3UkkwRDwzcgpTGyz5sCYtw88S02sk613glzIrJtCeyGsHdDUz808O_o1oP_8mV8J5zMFSmyLPWT4hzN6CwLzwFTRs3xyCagy1Q2jVbVwlQt9S74TjL9H7eLezz1Al42YZHmo-3O3y_BFPVd0weFZjjHfb0ALSliVeGYgzbCe9p-m9-vr4pvsyvkpJ50oswOifdWnXxoenJeUp40_y8Ohpz7QMymw5mwUUKjK8tLdOHJAKbJ-6K6md9I6LXaFk6jUctf4hHWXSYMYvPt3NecQMgL-eKyDCqsK_S7xn72elkKTqY3NsCTowMX7b0-MNsvMCoxmZUxTs0nnQrUgxVmW7xFn0iu-rv1gdrk6daZ2HG3QxqT1eo1g5_-CmPB7dYMDjSW46-FLRfw4sqSyYMYWN6F5WZNsktKgYg2eAWE1ePCtiwL764m0rEUbL6cQ1KoO9JumtTq4ag-pxW1Gk2MDA7Xnjm620TrMCQUk553QfSB3lzHcxncFSxNVcW4mPecP32Wti4n_zFGLLyv4ZhCB0tc0M_smVngnFq_BLLxOLC0Vpvf9GFJC1BqHWWIgQlMZDjVqFqQ_AsLPe9I6lmX-7tKaIZY6qB3yHKLVeOuKo2_lP-Saydf0k6oVUB_nUEEYFU7GW--7Nbn8tvfIj9zXbsVhlrtP3Begpp1qnynNQYm-2iXURJbN-SmF7JqriuQ_yuXeeBUjLP6RnENO-7w=",[574],{"_45":575,"_91":531},"**Evaluating pytest execution**\n\nI'm considering how to approach running pytest. There’s the option of doing a targeted run, which may be less expensive and could focus on the most relevant tests. However, I also need to be cautious since the instruction says to run pytest before claiming any behavior changes safely. I think I should aim for at least covering the necessary tests, even if it means not doing a full run—it feels crucial to follow the instructions carefully!",{"_405":577,"_386":387,"_407":393},{"_408":578,"_41":579,"_465":580,"_91":467},[],"rs_0c7070e9c0f7e613016a0f5072fe9c8194a2291e732c4b4ff3",[575],{"_405":582,"_386":387,"_407":393},{"_431":583,"_433":584,"_435":585,"_437":438,"_391":586,"_439":31,"_41":587,"_440":588,"_442":443,"_398":112,"_91":444},"added test\n","/bin/bash -lc \"cd /workspace/brainlayer && python - <<'PY'\nfrom pathlib import Path\np=Path('tests/test_cli_enrich.py')\ns=p.read_text()\ninsert='''\\\\n\\\\ndef test_cli_enrich_supervisor_skips_restoring_none_signal_handlers(monkeypatch):\\\\n monkeypatch.setattr(\\\"brainlayer.cli.get_db_path\\\", lambda: \\\"/tmp/test.db\\\")\\\\n\\\\n def fake_supervisor(db_path, stop_event=None, **kwargs):\\\\n return SimpleNamespace(\\\\n mode=\\\"supervisor\\\",\\\\n cycles=1,\\\\n attempted=0,\\\\n enriched=0,\\\\n skipped=0,\\\\n failed=0,\\\\n errors=[],\\\\n exit_code=0,\\\\n )\\\\n\\\\n monkeypatch.setattr(\\\"brainlayer.enrichment_controller.run_enrich_supervisor\\\", fake_supervisor)\\\\n\\\\n import signal as _signal\\\\n\\\\n original_getsignal = _signal.getsignal\\\\n original_signal = _signal.signal\\\\n\\\\n def fake_getsignal(signum):\\\\n if signum in (_signal.SIGTERM, _signal.SIGINT):\\\\n return None\\\\n return original_getsignal(signum)\\\\n\\\\n def fake_signal(signum, handler):\\\\n if handler is None:\\\\n raise TypeError(\\\"handler must not be None\\\")\\\\n return original_signal(signum, handler)\\\\n\\\\n monkeypatch.setattr(_signal, \\\"getsignal\\\", fake_getsignal)\\\\n monkeypatch.setattr(_signal, \\\"signal\\\", fake_signal)\\\\n\\\\n result = runner.invoke(app, [\\\"enrich\\\", \\\"--mode\\\", \\\"realtime\\\", \\\"--supervisor\\\"])\\\\n\\\\n assert result.exit_code == 0\\\\n'''\nmarker='def test_cli_enrich_mode_batch_submit_routes_to_cloud_backfill(monkeypatch):'\ns=s.replace('\\\\n\\\\n'+marker, insert+'\\\\n\\\\n'+marker)\np.write_text(s)\nprint('added test')\nPY\"",[589],840,"call_BmXDoO3ZooFvmljSynleKMA3","39394",{"_433":590,"_91":521},"cd /workspace/brainlayer && python - <<'PY'\nfrom pathlib import Path\np=Path('tests/test_cli_enrich.py')\ns=p.read_text()\ninsert='''\\n\\ndef test_cli_enrich_supervisor_skips_restoring_none_signal_handlers(monkeypatch):\\n monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\\n\\n def fake_supervisor(db_path, stop_event=None, **kwargs):\\n return SimpleNamespace(\\n mode=\"supervisor\",\\n cycles=1,\\n attempted=0,\\n enriched=0,\\n skipped=0,\\n failed=0,\\n errors=[],\\n exit_code=0,\\n )\\n\\n monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\\n\\n import signal as _signal\\n\\n original_getsignal = _signal.getsignal\\n original_signal = _signal.signal\\n\\n def fake_getsignal(signum):\\n if signum in (_signal.SIGTERM, _signal.SIGINT):\\n return None\\n return original_getsignal(signum)\\n\\n def fake_signal(signum, handler):\\n if handler is None:\\n raise TypeError(\"handler must not be None\")\\n return original_signal(signum, handler)\\n\\n monkeypatch.setattr(_signal, \"getsignal\", fake_getsignal)\\n monkeypatch.setattr(_signal, \"signal\", fake_signal)\\n\\n result = runner.invoke(app, [\"enrich\", \"--mode\", \"realtime\", \"--supervisor\"])\\n\\n assert result.exit_code == 0\\n'''\nmarker='def test_cli_enrich_mode_batch_submit_routes_to_cloud_backfill(monkeypatch):'\ns=s.replace('\\n\\n'+marker, insert+'\\n\\n'+marker)\np.write_text(s)\nprint('added test')\nPY",{"_405":592,"_386":387,"_407":393},{"_424":587,"_426":593,"_91":428},"Chunk ID: ad8474\nWall time: 0.7404 seconds\nProcess exited with code 0\nOriginal token count: 3\nOutput:\nadded test\n",{"_405":595,"_386":387,"_407":393},{"_456":596,"_424":587,"_41":-5,"_180":458,"_459":-5,"_91":460},"{\"cmd\":\"cd /workspace/brainlayer && python - <<'PY'\\nfrom pathlib import Path\\np=Path('tests/test_cli_enrich.py')\\ns=p.read_text()\\ninsert='''\\\\n\\\\ndef test_cli_enrich_supervisor_skips_restoring_none_signal_handlers(monkeypatch):\\\\n monkeypatch.setattr(\\\"brainlayer.cli.get_db_path\\\", lambda: \\\"/tmp/test.db\\\")\\\\n\\\\n def fake_supervisor(db_path, stop_event=None, **kwargs):\\\\n return SimpleNamespace(\\\\n mode=\\\"supervisor\\\",\\\\n cycles=1,\\\\n attempted=0,\\\\n enriched=0,\\\\n skipped=0,\\\\n failed=0,\\\\n errors=[],\\\\n exit_code=0,\\\\n )\\\\n\\\\n monkeypatch.setattr(\\\"brainlayer.enrichment_controller.run_enrich_supervisor\\\", fake_supervisor)\\\\n\\\\n import signal as _signal\\\\n\\\\n original_getsignal = _signal.getsignal\\\\n original_signal = _signal.signal\\\\n\\\\n def fake_getsignal(signum):\\\\n if signum in (_signal.SIGTERM, _signal.SIGINT):\\\\n return None\\\\n return original_getsignal(signum)\\\\n\\\\n def fake_signal(signum, handler):\\\\n if handler is None:\\\\n raise TypeError(\\\"handler must not be None\\\")\\\\n return original_signal(signum, handler)\\\\n\\\\n monkeypatch.setattr(_signal, \\\"getsignal\\\", fake_getsignal)\\\\n monkeypatch.setattr(_signal, \\\"signal\\\", fake_signal)\\\\n\\\\n result = runner.invoke(app, [\\\"enrich\\\", \\\"--mode\\\", \\\"realtime\\\", \\\"--supervisor\\\"])\\\\n\\\\n assert result.exit_code == 0\\\\n'''\\nmarker='def test_cli_enrich_mode_batch_submit_routes_to_cloud_backfill(monkeypatch):'\\ns=s.replace('\\\\n\\\\n'+marker, insert+'\\\\n\\\\n'+marker)\\np.write_text(s)\\nprint('added test')\\nPY\"}",{"_405":598,"_386":387,"_407":393},{"_408":-5,"_463":599,"_41":-5,"_465":600,"_91":467},"gAAAAABqD1BrHf5KYv4pIkV2t_ADsnHVsBVfB91gBsavySL8TK7-5unf1Vx-x1laQh0_fdfxYubGSyB8FHiFZUKLBxgWF-VarCDdkTSnpzltqBUV3NuD1dba4Ipi0D0CrXMlZRradmRlY15MM-bRe2Oskg28pjG_oEY8twE12JvzFDLI3WuTWTeR3yreCYtGSuLTpnlg53oYSGz0XmXxF8t1vZvwTVPtET7V990e-u__qxZzuDkHGOeeU9eL0LZAPMNkRmZo8azsZjgXsb5ImXnMNQuYq2_XFLiFFJpz_xqmo0arvxFhtGAVFYVyZYJ2idwuPZm8mWENoYZfQhHuQ1U7lpL5EpCctKPhpkin0bmDMmlnhLPt0d5SWLBrePci5lpKEPAzem1cM3y-wp_qp05Lndl6XRB_qBfEv06blLJaXmabHTu1pTRQKLJcJQwmHH4L_oKliXCnUipQko1RJ7J-Lr-CXU8rT2f_s-sf6cqtxG3SFna12rtaq6Nfrfd0k8K_ii7n5my0SJMR7V_3vC1X31aJjvHeUPD5bP79mDVActMkaFH0cIFh_bV_6QzcprqIrFzA-vxMR8S4Zuv_IDN40Vn_dGZ0OnUnHw6_hyDcDfS0CW1nT6DaXTAQh1aTPEryHzah9jR7HvgnNkP0lnirYBX-lVj7sh0DXXUq_1W2E82CkaLyiV29bfvGFJeSsIDgZChvHRYEKRMJXirOz7vQV8VpBzy8ZZbV2UvRJdNGrxZR5cEUNnSyGCHrb5pMiTjeKC06gsTzWOJU99_Va_ICWgJCNJ3Tgwp62DoQ2UPYAsZrAQOg123Hdkz6mPAkjz1uDcVtpO57Da6S-E-4L1LEbb9BFcC0rqBbn2mkCR4lXN2zZugRSBskzUtl0OuC7w2Ix_JbdYZbNrIKkjGlJezDw8T96njWzCSmzOhdIUdX_CVpE9UNEoxVusTTrX-jgvVNoF7D7LUdhfPT26II9p-IPhI11pqpxw==",[],{"_405":602,"_386":387,"_407":393},{"_408":603,"_41":604,"_465":605,"_91":467},[],"rs_0c7070e9c0f7e613016a0f50687d44819489280eff2a09bce9",[],{"_405":607,"_386":387,"_407":393},{"_431":608,"_433":609,"_435":610,"_437":438,"_391":611,"_439":31,"_41":612,"_440":613,"_442":443,"_398":112,"_91":444},"patched\n","/bin/bash -lc \"cd /workspace/brainlayer && python - <<'PY'\nfrom pathlib import Path\np=Path('src/brainlayer/cli/__init__.py')\ns=p.read_text()\ns=s.replace(' finally:\\\\n signal.signal(signal.SIGTERM, previous_sigterm)\\\\n signal.signal(signal.SIGINT, previous_sigint)\\\\n',' finally:\\\\n if previous_sigterm is not None:\\\\n signal.signal(signal.SIGTERM, previous_sigterm)\\\\n if previous_sigint is not None:\\\\n signal.signal(signal.SIGINT, previous_sigint)\\\\n')\np.write_text(s)\nprint('patched')\nPY\"",[614],851,"call_ZAy1el9P8BjJlIaNpgXGgw62","14509",{"_433":615,"_91":521},"cd /workspace/brainlayer && python - <<'PY'\nfrom pathlib import Path\np=Path('src/brainlayer/cli/__init__.py')\ns=p.read_text()\ns=s.replace(' finally:\\n signal.signal(signal.SIGTERM, previous_sigterm)\\n signal.signal(signal.SIGINT, previous_sigint)\\n',' finally:\\n if previous_sigterm is not None:\\n signal.signal(signal.SIGTERM, previous_sigterm)\\n if previous_sigint is not None:\\n signal.signal(signal.SIGINT, previous_sigint)\\n')\np.write_text(s)\nprint('patched')\nPY",{"_405":617,"_386":387,"_407":393},{"_424":612,"_426":618,"_91":428},"Chunk ID: aa831e\nWall time: 0.7475 seconds\nProcess exited with code 0\nOriginal token count: 2\nOutput:\npatched\n",{"_405":620,"_386":387,"_407":393},{"_456":621,"_424":612,"_41":-5,"_180":458,"_459":-5,"_91":460},"{\"cmd\":\"cd /workspace/brainlayer && python - <<'PY'\\nfrom pathlib import Path\\np=Path('src/brainlayer/cli/__init__.py')\\ns=p.read_text()\\ns=s.replace(' finally:\\\\n signal.signal(signal.SIGTERM, previous_sigterm)\\\\n signal.signal(signal.SIGINT, previous_sigint)\\\\n',' finally:\\\\n if previous_sigterm is not None:\\\\n signal.signal(signal.SIGTERM, previous_sigterm)\\\\n if previous_sigint is not None:\\\\n signal.signal(signal.SIGINT, previous_sigint)\\\\n')\\np.write_text(s)\\nprint('patched')\\nPY\"}",{"_405":623,"_386":387,"_407":393},{"_408":-5,"_463":624,"_41":-5,"_465":625,"_91":467},"gAAAAABqD1Bi11R6nxoIPJNho__a2_X4EKrjpOsAuougJ5C3nKL5jgyyLb_YVyysRi2OQ_EQcq1f6LO4eDWJ8M7vtCeCn8qJdCN9HeSLe0XoZ1nI0YfBnhB_S45oBV00i2cEiKJKgdd2nf16h-yLo9l6XTEDf6RsofiLxgQbBhtt4VQnS6DG7oKQL5ACXtnPnmWHABDV2fc_xxEkcgHvY7CY4hm-NSMREcM1uk2GBQhj18zE9E5-nnFgaPa0NxdFy3Za_wDdw222Bn9aMbAki_Al8KVe0db2dm5jL1nQIos2yLItyQ2pHhN8ef9pCJi69hYaRVnQW9DfyUPJ2FrUdDhauDysOJyeNlO1eNpjl38xT52a7PTEucVflB79mVCR_jxVmQMyiFEUdKjzBcj3Tt998PoxXgyNLCwRXzotzmb0lrMqk8oMPR-QLrHLyhSEXmbZ64E-4gy4_AYraT4sIf8j7ElZ_1gymf6UVwXzWbd1hNVem5wa7IcfAcrrI2gVNfZoR4RJJpVRwoLvH-hRTFC140plnZdA44xNtaRA-Im4-l9ZDe3SSm3GriFTNHOpGZbuiTE7J_eBkrkjbq81gmb9mPkdSog3n54ZCWT9-oee203EdqwVp3-JZugfixNjvj5T7EStouHu1eprHgG3PQREZEJ6t59C5j5_uSFWvsp6mq2qsZMV3kY2YTYopRTzxVuIeq_qdYRb1m2W4Ke0dgxIjC1atwhvDtTzCJiIyqbPTYewpX5KA6bZ9DLG6IQC32Nya0ENX2ZP4pQVx9aH4IIDOomCxCebH_Xn8LmQb660Tn8eg-n4lhzyyB4Lm9Qvi041Qrlkfh77akCmOYu7NNmhxWUmzvUpZYDzh02KaMyzbqYK7KM_AEmnwDrCXBtheAcwXyzvGx9uZfWTpWf5DE3pboXUInIM5baj9DFddC647FiW1qUY6g7ZFXt6WPGg7oRZEn-acJ9iDB_mBC-bpkUMEOAJryb8EbyP3n4vCoF1LPd8LGyug10GcHe2_Ky2NpEmtm12d52hrnobwDHhUoicqenhdAllKWDW-zssso0LTIRM0w5GBns-FgFvAlh3EBXImRLXio-A3JQZQgFVfJ7p6p7lbvFvcKIDVeJACqxWd7JB8MlS2i7EzdNyVNAnVszpAFteL5tEBI-l6-baMEAGmJRWl7McIactEga3Mr-uXom-osj9oz5wCip1fX3F-Zf6TQXhT1hkIT0jpzeXNViyeZNztEoCGYiObPdtlFFNJ7TP2JPr-yJjeFqsilXhyVp-aycTSETf-kJA5TLnZqQyB7gxVqG98kOvt8qVZEBXhZjdn4zvb-h3M5Qrothi2mqeVF5INPc5SIa-KP7Lxni1ylJnbo480okthhUhsjttEuuNucKynuSKIQPLraIpZbemDvhkrueArktcRK4DvtqGhGAh_BelzACLpdkgYzEVjPh4UIJITE-tFz9djRZa09sFInlbG489XHH1RXA4_m8EBOpIgwZw6QRUBQI6Hr1PfOrgU_JpeLC7dqUV1OsxVQo33bClhzL5p8ZXG_RI3UmPO60JKgOTlVawGXuQv-rx1A1nhdWdXdCmLEuxU1d5ofhRCrOr5YBzwPOVitcdK1-CqhU00knn9Rt7wApc2H-LANIdVJmGfU3_ktAgcm-AdaKrzYLUFJru",[],{"_405":627,"_386":387,"_407":393},{"_408":628,"_41":629,"_465":630,"_91":467},[],"rs_0c7070e9c0f7e613016a0f50603ca08194a99e97acbc56de11",[],{"_405":632,"_386":387,"_407":393},{"_424":633,"_426":634,"_91":428},"call_GDgRtQT1Kb9O4902jFvL2nk8","Chunk ID: 7c87a4\nWall time: 0.0000 seconds\nProcess exited with code 0\nOriginal token count: 1462\nOutput:\n\"\"\"Tests for brainlayer enrichment and maintenance CLI routing.\"\"\"\n\nimport os\nimport signal\nfrom types import SimpleNamespace\nfrom unittest.mock import MagicMock\n\nfrom typer.testing import CliRunner\n\nfrom brainlayer.cli import app\n\nrunner = CliRunner()\n\n\ndef test_cli_enrich_mode_realtime_routes_to_controller(monkeypatch):\n monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n monkeypatch.setattr(\"brainlayer.vector_store.VectorStore\", lambda path: MagicMock())\n called = {}\n\n def fake_realtime(store, limit=25, since_hours=24, **kwargs):\n called.update({\"store\": store, \"limit\": limit, \"since_hours\": since_hours, **kwargs})\n return SimpleNamespace(mode=\"realtime\", attempted=1, enriched=1, skipped=0, failed=0, errors=[])\n\n monkeypatch.setattr(\"brainlayer.enrichment_controller.enrich_realtime\", fake_realtime)\n\n result = runner.invoke(app, [\"enrich\", \"--mode\", \"realtime\", \"--limit\", \"9\", \"--since-hours\", \"12\"])\n\n assert result.exit_code == 0\n assert called[\"limit\"] == 9\n assert called[\"since_hours\"] == 12\n\n\ndef test_cli_enrich_supervisor_routes_to_controller(monkeypatch):\n monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n called = {}\n\n def fake_supervisor(db_path, limit=0, since_hours=0, stop_event=None):\n called.update({\"db_path\": str(db_path), \"limit\": limit, \"since_hours\": since_hours, \"stop_event\": stop_event})\n return SimpleNamespace(\n mode=\"supervisor\",\n cycles=2,\n attempted=3,\n enriched=2,\n skipped=1,\n failed=0,\n errors=[],\n exit_code=0,\n )\n\n monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\n\n result = runner.invoke(app, [\"enrich\", \"--mode\", \"realtime\", \"--supervisor\"])\n\n assert result.exit_code == 0\n assert called[\"db_path\"] == \"/tmp/test.db\"\n assert called[\"limit\"] == 200000\n assert called[\"since_hours\"] == 87600\n assert called[\"stop_event\"] is not None\n assert \"mode=supervisor\" in result.stdout\n assert \"cycles=2\" in result.stdout\n\n\ndef test_cli_enrich_supervisor_preserves_explicit_since_hours(monkeypatch):\n monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n called = {}\n\n def fake_supervisor(db_path, limit=0, since_hours=0, stop_event=None):\n called.update({\"limit\": limit, \"since_hours\": since_hours})\n return SimpleNamespace(\n mode=\"supervisor\",\n cycles=1,\n attempted=0,\n enriched=0,\n skipped=0,\n failed=0,\n errors=[],\n exit_code=0,\n )\n\n monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\n\n result = runner.invoke(app, [\"enrich\", \"--mode\", \"realtime\", \"--supervisor\", \"--since-hours\", \"8760\"])\n\n assert result.exit_code == 0\n assert called == {\"limit\": 200000, \"since_hours\": 8760}\n\n\ndef test_cli_enrich_supervisor_handles_sigterm_gracefully(monkeypatch):\n monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n called = {}\n\n def fake_supervisor(db_path, stop_event=None, **kwargs):\n os.kill(os.getpid(), signal.SIGTERM)\n called[\"stop_event_set\"] = stop_event.is_set()\n return SimpleNamespace(\n mode=\"supervisor\",\n cycles=1,\n attempted=1,\n enriched=1,\n skipped=0,\n failed=0,\n errors=[],\n exit_code=0,\n )\n\n monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\n\n result = runner.invoke(app, [\"enrich\", \"--mode\", \"realtime\", \"--supervisor\"])\n\n assert result.exit_code == 0\n assert called[\"stop_event_set\"] is True\n assert \"Stopping enrich supervisor\" in result.stdout\n assert \"mode=supervisor\" in result.stdout\n\n\ndef test_cli_enrich_mode_batch_submit_routes_to_cloud_backfill(monkeypatch):\n monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n called = {}\n\n def fake_backfill(db_path, model, dry_run=False, sample=0, no_sanitize=False, submit_only=False):\n called.update(\n {\n \"db_path\": str(db_path),\n \"model\": model,\n \"dry_run\": dry_run,\n \"sample\": sample,\n \"no_sanitize\": no_sanitize,\n \"submit_only\": submit_only,\n }\n )\n\n monkeypatch.setattr(\"brainlayer.cloud_backfill.run_full_backfill\", fake_backfill)\n\n result = runner.invoke(app, [\"enrich\", \"--mode\", \"batch\", \"--phase\", \"submit\", \"--limit\", \"50\"])\n\n assert result.exit_code == 0\n assert called[\"db_path\"] == \"/tmp/test.db\"\n assert called[\"sample\"] == 50\n assert called[\"submit_only\"] is True\n\n\ndef test_cli_enrich_mode_batch_submit_defaults_to_full_batch(monkeypatch):\n monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n called = {}\n\n def fake_backfill(db_path, model, dry_run=False, sample=0, no_sanitize=False, submit_only=False):\n called.update(\n {\n \"db_path\": str(db_path),\n \"model\": model,\n \"dry_run\": dry_run,\n \"sample\": sample,\n \"no_sanitize\": no_sanitize,\n \"submit_only\": submit_only,\n }\n )\n\n monkeypatch.setattr(\"brainlayer.cloud_backfill.run_full_backfill\", fake_backfill)\n\n result = runner.invoke(app, [\"enrich\", \"--mode\", \"batch\", \"--phase\", \"submit\"])\n\n assert result.exit_code == 0\n assert called[\"db_path\"] == \"/tmp/test.db\"\n assert called[\"sample\"] == 0\n assert called[\"submit_only\"] is True\n\n\ndef test_cli_enrich_mode_local_is_rejected():\n result = runner.invoke(app, [\"enrich\", \"--mode\", \"local\"])\n\n",{"_405":636,"_386":387,"_407":393},{"_431":637,"_433":638,"_435":639,"_437":438,"_391":31,"_439":31,"_41":633,"_440":640,"_442":443,"_398":112,"_91":444},"\"\"\"Tests for brainlayer enrichment and maintenance CLI routing.\"\"\"\n\nimport os\nimport signal\nfrom types import SimpleNamespace\nfrom unittest.mock import MagicMock\n\nfrom typer.testing import CliRunner\n\nfrom brainlayer.cli import app\n\nrunner = CliRunner()\n\n\ndef test_cli_enrich_mode_realtime_routes_to_controller(monkeypatch):\n monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n monkeypatch.setattr(\"brainlayer.vector_store.VectorStore\", lambda path: MagicMock())\n called = {}\n\n def fake_realtime(store, limit=25, since_hours=24, **kwargs):\n called.update({\"store\": store, \"limit\": limit, \"since_hours\": since_hours, **kwargs})\n return SimpleNamespace(mode=\"realtime\", attempted=1, enriched=1, skipped=0, failed=0, errors=[])\n\n monkeypatch.setattr(\"brainlayer.enrichment_controller.enrich_realtime\", fake_realtime)\n\n result = runner.invoke(app, [\"enrich\", \"--mode\", \"realtime\", \"--limit\", \"9\", \"--since-hours\", \"12\"])\n\n assert result.exit_code == 0\n assert called[\"limit\"] == 9\n assert called[\"since_hours\"] == 12\n\n\ndef test_cli_enrich_supervisor_routes_to_controller(monkeypatch):\n monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n called = {}\n\n def fake_supervisor(db_path, limit=0, since_hours=0, stop_event=None):\n called.update({\"db_path\": str(db_path), \"limit\": limit, \"since_hours\": since_hours, \"stop_event\": stop_event})\n return SimpleNamespace(\n mode=\"supervisor\",\n cycles=2,\n attempted=3,\n enriched=2,\n skipped=1,\n failed=0,\n errors=[],\n exit_code=0,\n )\n\n monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\n\n result = runner.invoke(app, [\"enrich\", \"--mode\", \"realtime\", \"--supervisor\"])\n\n assert result.exit_code == 0\n assert called[\"db_path\"] == \"/tmp/test.db\"\n assert called[\"limit\"] == 200000\n assert called[\"since_hours\"] == 87600\n assert called[\"stop_event\"] is not None\n assert \"mode=supervisor\" in result.stdout\n assert \"cycles=2\" in result.stdout\n\n\ndef test_cli_enrich_supervisor_preserves_explicit_since_hours(monkeypatch):\n monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n called = {}\n\n def fake_supervisor(db_path, limit=0, since_hours=0, stop_event=None):\n called.update({\"limit\": limit, \"since_hours\": since_hours})\n return SimpleNamespace(\n mode=\"supervisor\",\n cycles=1,\n attempted=0,\n enriched=0,\n skipped=0,\n failed=0,\n errors=[],\n exit_code=0,\n )\n\n monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\n\n result = runner.invoke(app, [\"enrich\", \"--mode\", \"realtime\", \"--supervisor\", \"--since-hours\", \"8760\"])\n\n assert result.exit_code == 0\n assert called == {\"limit\": 200000, \"since_hours\": 8760}\n\n\ndef test_cli_enrich_supervisor_handles_sigterm_gracefully(monkeypatch):\n monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n called = {}\n\n def fake_supervisor(db_path, stop_event=None, **kwargs):\n os.kill(os.getpid(), signal.SIGTERM)\n called[\"stop_event_set\"] = stop_event.is_set()\n return SimpleNamespace(\n mode=\"supervisor\",\n cycles=1,\n attempted=1,\n enriched=1,\n skipped=0,\n failed=0,\n errors=[],\n exit_code=0,\n )\n\n monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\n\n result = runner.invoke(app, [\"enrich\", \"--mode\", \"realtime\", \"--supervisor\"])\n\n assert result.exit_code == 0\n assert called[\"stop_event_set\"] is True\n assert \"Stopping enrich supervisor\" in result.stdout\n assert \"mode=supervisor\" in result.stdout\n\n\ndef test_cli_enrich_mode_batch_submit_routes_to_cloud_backfill(monkeypatch):\n monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n called = {}\n\n def fake_backfill(db_path, model, dry_run=False, sample=0, no_sanitize=False, submit_only=False):\n called.update(\n {\n \"db_path\": str(db_path),\n \"model\": model,\n \"dry_run\": dry_run,\n \"sample\": sample,\n \"no_sanitize\": no_sanitize,\n \"submit_only\": submit_only,\n }\n )\n\n monkeypatch.setattr(\"brainlayer.cloud_backfill.run_full_backfill\", fake_backfill)\n\n result = runner.invoke(app, [\"enrich\", \"--mode\", \"batch\", \"--phase\", \"submit\", \"--limit\", \"50\"])\n\n assert result.exit_code == 0\n assert called[\"db_path\"] == \"/tmp/test.db\"\n assert called[\"sample\"] == 50\n assert called[\"submit_only\"] is True\n\n\ndef test_cli_enrich_mode_batch_submit_defaults_to_full_batch(monkeypatch):\n monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n called = {}\n\n def fake_backfill(db_path, model, dry_run=False, sample=0, no_sanitize=False, submit_only=False):\n called.update(\n {\n \"db_path\": str(db_path),\n \"model\": model,\n \"dry_run\": dry_run,\n \"sample\": sample,\n \"no_sanitize\": no_sanitize,\n \"submit_only\": submit_only,\n }\n )\n\n monkeypatch.setattr(\"brainlayer.cloud_backfill.run_full_backfill\", fake_backfill)\n\n result = runner.invoke(app, [\"enrich\", \"--mode\", \"batch\", \"--phase\", \"submit\"])\n\n assert result.exit_code == 0\n assert called[\"db_path\"] == \"/tmp/test.db\"\n assert called[\"sample\"] == 0\n assert called[\"submit_only\"] is True\n\n\ndef test_cli_enrich_mode_local_is_rejected():\n result = runner.invoke(app, [\"enrich\", \"--mode\", \"local\"])\n\n","/bin/bash -lc \"cd /workspace/brainlayer && sed -n '1,170p' tests/test_cli_enrich.py\"",[641],"35633",{"_433":642,"_180":448,"_160":449,"_91":450},"sed -n '1,170p' tests/test_cli_enrich.py",{"_405":644,"_386":387,"_407":393},{"_456":645,"_424":633,"_41":-5,"_180":458,"_459":-5,"_91":460},"{\"cmd\":\"cd /workspace/brainlayer && sed -n '1,170p' tests/test_cli_enrich.py\"}",{"_405":647,"_386":387,"_407":393},{"_408":-5,"_463":648,"_41":-5,"_465":649,"_91":467},"gAAAAABqD1BfJj_Uvu0GFULGxl4szWepwEUc3VQlrB1dgZ-TSbq30G2iTIZKGuHEx5FmMhiPmHlHWaJtGEpZXDV9p-HCzq5NbLNrL-AaOj0CNiLjwCgxNF8BM3QNFEMNiOoUgmQu0q_6Y4IE_GUdoCbtfBfPHq6-eCsxD-7Qub5JA_iunPyuht13iobnhgKI8PnewAKzEJYR4lV07SGO60_31LNIDW3Z8eFUEEGw993e54yj79cAvnmX3Svsz1zqq0-TQUybL9_jHqbsc2f2co53jq-3MEB1wzOb_SifC9Cl2WTGU1X-_q_e9YLIdYHuTmEDNkw-5qt0V5w-bSeJEB8jVZ1opQsM3tlgAv6TtvF6xqO2wBnWM_MH_fJmCUpQ_Kt_thnP-ATIGn8zHi5FgepCXiJl-BvSrtQe4A-FPOp0ymy_sVeYGm6Ax96AecRaciQRgfAvCVNBd9i9JYGaT2xxeAZcnNyVjF0l1FT2ufVLeQduoAv01eRWLrn0d9YXJOTY2M7Rwr1X2FxMAzwOhRcLPfkv9hdGYuxXWzBQVnJujJtYqmLm9txpwaLuQVrMfPv6qb8XoDR6bjYkJqR_hxhrmg1bbBNito_rblrwJ8KX36duftCK4cbrUS-U8fR9cmYoMeyKdBZ0Q6aKwgV2CwBtmSC135QcSJQSKkKruntU4y2NpCFwblAPpH-Vlvz8nVD_Lg5vl3fprG57j0na7HId6O5pYXzSFVGXO_mFGSdbh1SCxj1RJeVe_fORxOcBagJe73kW899Rs2e070g1vFMASAYdrzXrY7VsuRgwRBUkCbTinJDIFkYjSbb49MUWZ6w6dWElTi-WvjP7DV62YjCLW8ahoF5f1WwvwJCGTB1Zg6M7Z0MVnRv5j8LIltrwN9srSejTPRvUSHOXP1X4EY31IIDPCPR63DdoMwKRpSdIEE82ezUROnEDo9aijgcony-go9lIRMOiTPgt2Np5pDos3QTHbMSfsMZ0aMTUa6EvxqLlVrVZ4kFOixJGNIB-UnT9EQ7yvTTLBffxFLHbHonNQxMURCFFMg==",[],{"_405":651,"_386":387,"_407":393},{"_408":652,"_41":653,"_465":654,"_91":467},[],"rs_0c7070e9c0f7e613016a0f505d49488194b94c209b25c60e6d",[],{"_405":656,"_386":387,"_407":393},{"_424":657,"_426":658,"_91":428},"call_jl5QGo2KL3dzTG5mIjg87NWb","Chunk ID: dd4f7b\nWall time: 0.0000 seconds\nProcess exited with code 0\nOriginal token count: 580\nOutput:\n else:\n store = VectorStore(db_path)\n try:\n s = store.get_enrichment_stats()\n console.print(f\"[bold]Total:[/] {s['total_chunks']}\")\n console.print(f\"[bold]Enriched:[/] {s['enriched']} ({s['percent']}%)\")\n console.print(f\"[bold]Remaining:[/] {s['remaining']}\")\n if s[\"by_intent\"]:\n console.print(f\"[bold]Intent distribution:[/] {s['by_intent']}\")\n finally:\n store.close()\n return\n\n if mode == \"realtime\":\n if supervisor:\n import signal\n import threading\n\n stop_event = threading.Event()\n\n def handle_signal(signum, frame):\n rprint(\"\\n[bold yellow]Stopping enrich supervisor...[/]\")\n stop_event.set()\n\n previous_sigterm = signal.getsignal(signal.SIGTERM)\n previous_sigint = signal.getsignal(signal.SIGINT)\n signal.signal(signal.SIGTERM, handle_signal)\n signal.signal(signal.SIGINT, handle_signal)\n try:\n result = run_enrich_supervisor(\n db_path,\n limit=limit or DEFAULT_ENRICH_SUPERVISOR_LIMIT,\n since_hours=since_hours if since_hours is not None else DEFAULT_ENRICH_SUPERVISOR_SINCE_HOURS,\n stop_event=stop_event,\n )\n finally:\n signal.signal(signal.SIGTERM, previous_sigterm)\n signal.signal(signal.SIGINT, previous_sigint)\n console.print(\n f\"[bold green]Done![/] mode={result.mode} cycles={result.cycles} \"\n f\"attempted={result.attempted} enriched={result.enriched} \"\n f\"skipped={result.skipped} failed={result.failed}\"\n )\n raise typer.Exit(result.exit_code)\n\n store = VectorStore(db_path)\n try:\n result = enrich_realtime(\n store,\n limit=limit or 25,\n since_hours=since_hours if since_hours is not None else DEFAULT_REALTIME_ENRICH_SINCE_HOURS,\n",{"_405":660,"_386":387,"_407":393},{"_431":661,"_433":662,"_435":663,"_437":438,"_391":31,"_439":31,"_41":657,"_440":664,"_442":443,"_398":112,"_91":444}," else:\n store = VectorStore(db_path)\n try:\n s = store.get_enrichment_stats()\n console.print(f\"[bold]Total:[/] {s['total_chunks']}\")\n console.print(f\"[bold]Enriched:[/] {s['enriched']} ({s['percent']}%)\")\n console.print(f\"[bold]Remaining:[/] {s['remaining']}\")\n if s[\"by_intent\"]:\n console.print(f\"[bold]Intent distribution:[/] {s['by_intent']}\")\n finally:\n store.close()\n return\n\n if mode == \"realtime\":\n if supervisor:\n import signal\n import threading\n\n stop_event = threading.Event()\n\n def handle_signal(signum, frame):\n rprint(\"\\n[bold yellow]Stopping enrich supervisor...[/]\")\n stop_event.set()\n\n previous_sigterm = signal.getsignal(signal.SIGTERM)\n previous_sigint = signal.getsignal(signal.SIGINT)\n signal.signal(signal.SIGTERM, handle_signal)\n signal.signal(signal.SIGINT, handle_signal)\n try:\n result = run_enrich_supervisor(\n db_path,\n limit=limit or DEFAULT_ENRICH_SUPERVISOR_LIMIT,\n since_hours=since_hours if since_hours is not None else DEFAULT_ENRICH_SUPERVISOR_SINCE_HOURS,\n stop_event=stop_event,\n )\n finally:\n signal.signal(signal.SIGTERM, previous_sigterm)\n signal.signal(signal.SIGINT, previous_sigint)\n console.print(\n f\"[bold green]Done![/] mode={result.mode} cycles={result.cycles} \"\n f\"attempted={result.attempted} enriched={result.enriched} \"\n f\"skipped={result.skipped} failed={result.failed}\"\n )\n raise typer.Exit(result.exit_code)\n\n store = VectorStore(db_path)\n try:\n result = enrich_realtime(\n store,\n limit=limit or 25,\n since_hours=since_hours if since_hours is not None else DEFAULT_REALTIME_ENRICH_SINCE_HOURS,\n","/bin/bash -lc \"cd /workspace/brainlayer && sed -n '930,980p' src/brainlayer/cli/__init__.py\"",[665],"55446",{"_433":666,"_180":452,"_160":453,"_91":450},"sed -n '930,980p' src/brainlayer/cli/__init__.py",{"_405":668,"_386":387,"_407":393},{"_456":669,"_424":657,"_41":-5,"_180":458,"_459":-5,"_91":460},"{\"cmd\":\"cd /workspace/brainlayer && sed -n '930,980p' src/brainlayer/cli/__init__.py\"}",{"_405":671,"_386":387,"_407":393},{"_408":-5,"_463":672,"_41":-5,"_465":673,"_91":467},"gAAAAABqD1BbOO8CSTpxykEHyWae19p-rff1wz1QXqpfbfxeuKPMJHSp58OJuYjcwyaCrV8pD_1kAOY459TnxSK7OwfL2FygBpaZ_eJZ4rHZ__hIKm0HZFMT-7noCAlB6rIaHa5NKNbmikyF48Lon12b4874UPeRNWqdS8AJHaGblm0bCDZQdCnYmkDbYc2nGuTmeYl-JtGCLUPDlDwcMAGlXWuPnxrWgdYEX1V0Y9rtV88yqlx2mGRoCTMXILZ5_gZiI4SwAT6uV2Qs8d6jm3fmRz8deEFlkbQtnhd3_9sLJ1WHjaoiMzZ3fbxKQ-GA9TtLzmIVcL-OWw3g4hjEQBCaiVA605h2paSwk0tYtJQhy9vJkhLTGJNZeZXL_O904pQL4ZmLnnQ05x9n7PLUnW4qc_r44J_80bsz5Sx2E51O5bl1ATtGjeArpV-Dj_ANvO2oeVdBYn7oB8mwTS38WwTlwrFW9Ba-VEnsyfX1VZqjMttVQch_9CJ3-6HtozWdsX0HulSpbrkfFmrJ834897mYBmTNtWR7g1VDnTujl7W8S7xVZawUf_uM28_bBY7POOrGL8Z5rkJWeH9-ImLHeYHLgxV87ccsGAyNGa12BNl3fIxbjU9eefL2tefedCsZD1zctp7usiWC4TJ7f4U-INriEkYAFzqH8jXdik_tLIdFczIARSksVyfyYHfq_K3dAc7J63tNYA7ny2j0d0UyMj4Xkby_qh7q43WAKvnHAmUhCONEcOyfwHRLRJY4jfFgM9QosZJDEynE_Lw1jOsp9iHe3dm2IjidhcGeq9zKwfY2fbeYRYywr693Zrpe3YZYHa5rmHvx1W_vYkM3dEfGY0iu2RhV3iTvYkxF0T7clGVMW3qgs6sy8ilXKVlQ8BM6YVOqhwHvnax7UeFywc3_7mc0AXp3hSFQVde1OK8ap5-etWTPcYzYLkexqZCmJn_na7xlvIgnCtaMlxJAjW4Q5JEjD3W1NpTffjAm1d7N0yTEeD7cBut4Klab7Wr91-ejgRuKYBG60Km8",[],{"_405":675,"_386":387,"_407":393},{"_408":676,"_41":677,"_465":678,"_91":467},[],"rs_0c7070e9c0f7e613016a0f505b2f5c81948c607abbdf30d8a6",[],{"_405":680,"_386":387,"_407":393},{"_424":681,"_426":682,"_91":428},"call_uwCTWD11pplBEkKzCN663umJ","Chunk ID: a7f02c\nWall time: 0.0000 seconds\nProcess exited with code 0\nOriginal token count: 492\nOutput:\ntests/test_cli_enrich.py:50: monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\ntests/test_cli_enrich.py:80: monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\ntests/test_cli_enrich.py:106: monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\nsrc/brainlayer/cli/__init__.py:915: run_enrich_supervisor,\nsrc/brainlayer/cli/__init__.py:954: previous_sigterm = signal.getsignal(signal.SIGTERM)\nsrc/brainlayer/cli/__init__.py:956: signal.signal(signal.SIGTERM, handle_signal)\nsrc/brainlayer/cli/__init__.py:959: result = run_enrich_supervisor(\nsrc/brainlayer/cli/__init__.py:966: signal.signal(signal.SIGTERM, previous_sigterm)\nsrc/brainlayer/cli/__init__.py:1747: signal.signal(signal.SIGTERM, handle_signal)\ntests/test_enrich_supervisor.py:39: result = controller.run_enrich_supervisor(\ntests/test_enrich_supervisor.py:77: result = controller.run_enrich_supervisor(\ntests/test_enrich_supervisor.py:108: result = controller.run_enrich_supervisor(\ntests/test_enrich_supervisor.py:141: result = controller.run_enrich_supervisor(\ntests/test_enrich_supervisor.py:165: controller.run_enrich_supervisor(\ntests/test_enrich_supervisor.py:193: result = controller.run_enrich_supervisor(\ntests/test_enrich_supervisor.py:218: controller.run_enrich_supervisor(\nsrc/brainlayer/enrichment_controller.py:129:def _sleep_or_wait_for_stop(stop_event: threading.Event | None, seconds: float, sleep_fn) -> None:\nsrc/brainlayer/enrichment_controller.py:138:def run_enrich_supervisor(\nsrc/brainlayer/enrichment_controller.py:183: _sleep_or_wait_for_stop(stop_event, idle_poll_seconds, sleep_fn)\nsrc/brainlayer/enrichment_controller.py:195: _sleep_or_wait_for_stop(stop_event, idle_poll_seconds, sleep_fn)\n",{"_405":684,"_386":387,"_407":393},{"_431":685,"_433":686,"_435":687,"_437":438,"_391":31,"_439":31,"_41":681,"_440":688,"_442":443,"_398":112,"_91":444},"tests/test_cli_enrich.py:50: monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\ntests/test_cli_enrich.py:80: monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\ntests/test_cli_enrich.py:106: monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\nsrc/brainlayer/cli/__init__.py:915: run_enrich_supervisor,\nsrc/brainlayer/cli/__init__.py:954: previous_sigterm = signal.getsignal(signal.SIGTERM)\nsrc/brainlayer/cli/__init__.py:956: signal.signal(signal.SIGTERM, handle_signal)\nsrc/brainlayer/cli/__init__.py:959: result = run_enrich_supervisor(\nsrc/brainlayer/cli/__init__.py:966: signal.signal(signal.SIGTERM, previous_sigterm)\nsrc/brainlayer/cli/__init__.py:1747: signal.signal(signal.SIGTERM, handle_signal)\ntests/test_enrich_supervisor.py:39: result = controller.run_enrich_supervisor(\ntests/test_enrich_supervisor.py:77: result = controller.run_enrich_supervisor(\ntests/test_enrich_supervisor.py:108: result = controller.run_enrich_supervisor(\ntests/test_enrich_supervisor.py:141: result = controller.run_enrich_supervisor(\ntests/test_enrich_supervisor.py:165: controller.run_enrich_supervisor(\ntests/test_enrich_supervisor.py:193: result = controller.run_enrich_supervisor(\ntests/test_enrich_supervisor.py:218: controller.run_enrich_supervisor(\nsrc/brainlayer/enrichment_controller.py:129:def _sleep_or_wait_for_stop(stop_event: threading.Event | None, seconds: float, sleep_fn) -> None:\nsrc/brainlayer/enrichment_controller.py:138:def run_enrich_supervisor(\nsrc/brainlayer/enrichment_controller.py:183: _sleep_or_wait_for_stop(stop_event, idle_poll_seconds, sleep_fn)\nsrc/brainlayer/enrichment_controller.py:195: _sleep_or_wait_for_stop(stop_event, idle_poll_seconds, sleep_fn)\n","/bin/bash -lc \"cd /workspace/brainlayer && git status --short && rg -n \\\"previous_sigterm|signal\\\\.signal\\\\(signal\\\\.SIGTERM|run_enrich_supervisor|_sleep_or_wait_for_stop\\\" src/brainlayer/cli/__init__.py src/brainlayer/enrichment_controller.py tests/test_cli_enrich.py tests/test_enrich_supervisor.py\"",[689],"35407",{"_433":690,"_91":521},"cd /workspace/brainlayer && git status --short && rg -n \"previous_sigterm|signal\\.signal\\(signal\\.SIGTERM|run_enrich_supervisor|_sleep_or_wait_for_stop\" src/brainlayer/cli/__init__.py src/brainlayer/enrichment_controller.py tests/test_cli_enrich.py tests/test_enrich_supervisor.py",{"_405":692,"_386":387,"_407":393},{"_456":693,"_424":681,"_41":-5,"_180":458,"_459":-5,"_91":460},"{\"cmd\":\"cd /workspace/brainlayer && git status --short && rg -n \\\"previous_sigterm|signal\\\\.signal\\\\(signal\\\\.SIGTERM|run_enrich_supervisor|_sleep_or_wait_for_stop\\\" src/brainlayer/cli/__init__.py src/brainlayer/enrichment_controller.py tests/test_cli_enrich.py tests/test_enrich_supervisor.py\"}",{"_405":695,"_386":387,"_407":393},{"_408":-5,"_463":696,"_41":-5,"_465":697,"_91":467},"gAAAAABqD1BZev2nIWGaObvD3WADQkbMcQbmO38D1cijpIeCrzj7EH7hkaquPOPU_fODURCkYr6KeRJBfTGnvjE438BSH2RcljAZW4_u3tOoIHrZjgcetQ2OHyuE9KSMNbceVu0lQ6sBFAPF3Wzjk4uWJff8cTUjAtzhdxQdEADqLi1dDqGinX2XQByMQInh5q5dHutUh7ekajSls-zA06e7keF4IqJb5Tfojruj1TQhb_3fuy6Xpfq_l5DofFhJSvlsA8s0PIMKnMBcDLclnsuTXbSEYQRlUtwuEYPFxXFSLjts8dbPGRgiqH6bucH0D4eIRJhZIRsRpHsdp17lmAhDVfv0TjkE_4XMF7Fr6NphsCpgj6dzibqxg6B1n8rPjFqTUMWxIWXviGXuByqaGKd-1f1wnzKmT34DLJizgvbcpEg2V6MIdav2SSVabohF86K8h19rJHVT6_Wv_N5vYkZmIXX4lZwl-KpLk60R3zwOTwFL28_RyNeMUCp-mHU2B1faaOYuDX6lgYtg83lFzEOege_vx0liBBp4M7KkthOWZAk7jpcIfNJ0BSxKFIlOh7pJEWIJ_eR9kXU2eUkrsIuhR-t8lL__zjnzny8iiPo523V3VQSoJiGPOUvIInzS5WGfqBBOykH-rkF6_WLqhnW_jsqukmIw1btN5-wJs204A08jgvgRI4FijiC8NjHoTqPEIuNc8Nn8Pw_YSB05668guuEYYSV6sHXebI18gV9QwtV51x9CaP9lEayaDpdxkGR3zNdPn6IvE5RLJh7lNJ9C6pubrnhbMb8AmoJ2obz-x0wB_Ehx0groB1heJAVT5eStc7Kf1-ViiKb_N5FJqQUl6H6jsUeRtTdye6uzP2ifY6OXy6zP4R0BOiuO1lmwSK_uWbBRRJb5I0RFyPvBbjTzwfMMhzqqkHLzPUEzMTzdubZHxu-LUJV37XG49pMREtUejRWEfF6KzT2H9Kau_C9crqc4NpmUAbxMF5ABKdkB-LVpA43G3vY=",[],{"_405":699,"_386":387,"_407":393},{"_408":700,"_41":701,"_465":702,"_91":467},[],"rs_0c7070e9c0f7e613016a0f505975588194a5e7d0daaa8adce9",[],{"_405":704,"_386":387,"_407":393},{"_705":706,"_41":-5,"_398":112,"_91":707},"action",{"_708":709,"_710":711,"_91":712},"web_search_call","queries",[711],"query","Python signal.getsignal returns None and signal.signal handler valid values","search",{"_405":714,"_386":387,"_407":393},{"_705":715,"_41":716,"_710":711,"_91":717},{"_708":718,"_710":711,"_91":712},"ws_0c7070e9c0f7e613016a0f504e61988194a3374975fe7f7cdb","webSearch",[711],{"_405":720,"_386":387,"_407":393},{"_408":-5,"_463":721,"_41":-5,"_465":722,"_91":467},"gAAAAABqD1BOWsqUOxx07gSm9twj3-HwsHID8lhP2q-WK5F93oJA0Xn6TTmdOx8r0tXGFOw-X61QIh6odnROamVVPbVQ1axZTCcwZfWNzsMiZVXOA5BLmZIKJRfubVb5w-yURl2qRheYo0NK_UM0fvP95j79tZw0B6tVDzWQO0nsLlgtPfKIbl5EicRAFLZcbicAJlEhidgl_xIUx3F0BOKx3rPUhmvpdIvhyCHe8Fg7s4bhQttDQA-iWV61HOpOalgFLDud-znWCcUxa2Nf5xC52ryzYRr-MQ0FDGvwVA299Bmn1bBRANuKM4m4FeGL7yXveHxQh-KDd42T73XVSmy81vduXCM8SDpS-YuKjOeQiOfB-shyCsLzAcbXlI5dJkTC3_OkOsewdFFHm_sj_POZDxw92wMW1e2EbD65Ra39otrANiPws4Hkc0zIfLL1Sejy_n4yGNyWmFIDkhH-04WpVhC8O-_EXN309-_T13h-AZoC8SSfZKytK4Ppvv_eN-EgOtHjl8dWyqcdme-cQ6B1q7nwa7r503SQGnH9PbngtgfLVpJPVheeqB8GFBg1aE1TagVqow0dQ_DAFVwAapcbA-lGN45BzAKRIveN3YCZSfdiePsqr1hI4oEaAHvIdcCYSVwxB1ALRrWj3MLQCgPUUmaRdnqeDZgn68O7tLLj0jSLvh5ko2GHFrAdaPfaMuzD6VSgRPcK-xFUotviwkkjwZRlPL8NsKlH9LQfAedmtrWWcns7FvwaErL149iqcgA7vpUugJVKNTtB15RWCmlwTViakVETll6E3JMLuSsXjk8SfdiMXbAqUKwnVrPv_xwiP2Euf_zExEbO8jTrFWaG0PiVL3wW-xO1ekS74ImWGoTwJYp92fVHHr6_xknb2LZ2OSXk3xqgYafHJkPYlIRvn_D2KP3noAGGdTA44l0ZtKVqELob5LEn3t3nIEp0wZi8wlnSEYcbmTUN-A_DvAPjRfZa5B4PPUh_Mw_1jDKhNziWbZ50ZsLOLCqiBTq5x8su1av3ZBFB7j72KRuBPyc2pU7Ie6KemOWIvyOSn0wj1t-P6ayjfXc_F1wfEC_L_ztR5-wfi1etzHqFzgY2ivhZDW5dLZrRp10w2Q3sjB4OWy5zZXaLe3rv2OE9qqZuYkx-zbD8rP7j",[723],{"_45":724,"_91":531},"**Searching for Python signal behavior**\n\nI need to conduct a web search, as it seems relevant to my instructions. I'm thinking it’s important to check the Python documentation regarding signal behavior. It could really help clarify some aspects I may not fully understand. I just want to ensure I’m providing accurate information and fixing any issues correctly. Let me get started on that search to see what I can find!",{"_405":726,"_386":387,"_407":393},{"_408":727,"_41":728,"_465":729,"_91":467},[],"rs_0c7070e9c0f7e613016a0f504c38b48194ab28c3a95f1415bb",[724],{"_405":731,"_386":387,"_407":393},{"_424":732,"_426":733,"_91":428},"call_di2otfjvTUe6qF179cg8aeP0","Chunk ID: 09fd45\nWall time: 0.0000 seconds\nProcess exited with code 0\nOriginal token count: 370\nOutput:\n# BrainLayer Agent Notes\n\nBrainLayer is the memory layer for the entire ecosystem. If it breaks, every golem degrades into a vanilla LLM with no durable recall.\n\n## Review Guidelines\n- Treat retrieval correctness, write safety, and MCP stability as critical-path concerns.\n- Prefer finding regressions in search quality, lock handling, and tool contracts before style or refactor nits.\n- Flag risky DB or concurrency changes explicitly. Do not hand-wave lock behavior.\n\n## Key Paths\n- `src/brainlayer/`\n- `scripts/`\n- `tests/`\n\n## Database\n- Canonical DB: `~/.local/share/brainlayer/brainlayer.db`\n\n## MCP Tools\n- `brain_search`\n- `brain_store`\n- `brain_recall`\n- `brain_expand`\n- `brain_digest`\n- `brain_entity`\n- `brain_update`\n- `brain_tags`\n\n## Concurrency Rules\n- One write at a time.\n- Reads are safe.\n- `brain_digest` is write-heavy; do not run it in parallel with other MCP work.\n\n## Tests\n- Run `pytest` before claiming behavior changed safely.\n- Current suite size: 929 tests.\n\n## PR Workflow\n- Request `@codex review`.\n- Request `@cursor` and `@bugbot` review.\n\n## Known Issues\n- DB locking during enrichment.\n- WAL can grow to 4.7GB.\n---\n\n# This is NOT the Next.js you know\n\nThis version has breaking changes — APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in `node_modules/next/dist/docs/` before writing any code. Heed deprecation notices.\n\n",{"_405":735,"_386":387,"_407":393},{"_431":736,"_433":737,"_435":738,"_437":438,"_391":31,"_439":31,"_41":732,"_440":739,"_442":443,"_398":112,"_91":444},"# BrainLayer Agent Notes\n\nBrainLayer is the memory layer for the entire ecosystem. If it breaks, every golem degrades into a vanilla LLM with no durable recall.\n\n## Review Guidelines\n- Treat retrieval correctness, write safety, and MCP stability as critical-path concerns.\n- Prefer finding regressions in search quality, lock handling, and tool contracts before style or refactor nits.\n- Flag risky DB or concurrency changes explicitly. Do not hand-wave lock behavior.\n\n## Key Paths\n- `src/brainlayer/`\n- `scripts/`\n- `tests/`\n\n## Database\n- Canonical DB: `~/.local/share/brainlayer/brainlayer.db`\n\n## MCP Tools\n- `brain_search`\n- `brain_store`\n- `brain_recall`\n- `brain_expand`\n- `brain_digest`\n- `brain_entity`\n- `brain_update`\n- `brain_tags`\n\n## Concurrency Rules\n- One write at a time.\n- Reads are safe.\n- `brain_digest` is write-heavy; do not run it in parallel with other MCP work.\n\n## Tests\n- Run `pytest` before claiming behavior changed safely.\n- Current suite size: 929 tests.\n\n## PR Workflow\n- Request `@codex review`.\n- Request `@cursor` and `@bugbot` review.\n\n## Known Issues\n- DB locking during enrichment.\n- WAL can grow to 4.7GB.\n---\n\n# This is NOT the Next.js you know\n\nThis version has breaking changes — APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in `node_modules/next/dist/docs/` before writing any code. Heed deprecation notices.\n\n","/bin/bash -lc \"cd /workspace/brainlayer && cat AGENTS.md && echo '---' && cat site/AGENTS.md\"",[740],"26234",{"_433":741,"_91":521},"cd /workspace/brainlayer && cat AGENTS.md && echo '---' && cat site/AGENTS.md",{"_405":743,"_386":387,"_407":393},{"_456":744,"_424":732,"_41":-5,"_180":458,"_459":-5,"_91":460},"{\"cmd\":\"cd /workspace/brainlayer && cat AGENTS.md && echo '---' && cat site/AGENTS.md\"}",{"_405":746,"_386":387,"_407":393},{"_408":-5,"_463":747,"_41":-5,"_465":748,"_91":467},"gAAAAABqD1BLfHHkzyrr2kEq1qlXelufpQkZJn9ubmOR3fA1F-l2ucPBZFi4twtrdGxUQuXKDwT-0yRyfAn854tSxIzpF7iFan8-WfmeRGZ_CCh1CxYrNPKaow_vVEceDkddMLygT_EpMq5u__n7X0giled-KajK5iwQjZhSlfXJ75D9qe0Oku7MtPeTeT5pMCwJ4Gu_TdsfqLZltOXvMNSpOrqrLDCnBm3rwHrB_ef053_1mOusNOhsZ2-cnAU5yPCDx-lhNT_WU6zIC6OPP7-ID_CMsvTywJawu9FKYN19mzDOm4MtYmoWtRrTsEp9ZIBkPyjxxylnrpGYUjfv-8s0Ckjexcd8geatO2Rer_kzTneJF-fKRTsi5Ml8Z6TYeB7IBGjTjEAHx8YjXqcSfiMQX21N_79QV-8E3jzrBAjYCAK5PYMZ86Ls89hBOe5nYi015F2oxASDJoNva7H4nIqYqYv8FrSc3hRYw8FhhdOGPleHAveQf2Ij-bwkVRUzMqba532_GCJGSC12jIysQt0__FuUBRVJDh__6ao4BqFSNHWFPrCa-7U1cgWX47UxtMT9VFhr1MdKwLz2E9i12Ow3mWDbgegbxOAK7YPUB_xoeCTyRpmdCeamrUHwVljikRGpC1j6u8IzpHKL0MT6Mf7u95epU3lnfr1KL8uwKIvLzbMU6OCAN2kgQuXZnkAUIuH3Hw2UVj1SBVAHouIVtzdVCyW8DfxU_5MfaZzNrFg_9UoiYCW1vljZTJ0LhSxsmBnHZECYawNQAGsmRC2lTOS2FSqKd42PhlDysCtRJvidNNiK7mZx5P2qzEvWEC_uaRgYc4a2DXAXvoFI91jTQSzQL33rdybcJyW4fmhgfqUNjsnB0wIwSINKW2c_CdgtOedvB6I-bDMNza586Ftt00ZIk8g7BiaZFLEIEbiQWjBUy9K7B80naJYwxDox4iwqsn9fnMTS5CIt",[],{"_405":750,"_386":387,"_407":393},{"_408":751,"_41":752,"_465":753,"_91":467},[],"rs_0c7070e9c0f7e613016a0f504a594c8194b50a33ce9c3870a7",[],{"_405":755,"_386":387,"_407":393},{"_424":756,"_426":757,"_91":428},"call_ICxxtOk4YcO1J9IcIZros7rw","Chunk ID: a883dc\nWall time: 0.0000 seconds\nProcess exited with code 0\nOriginal token count: 14\nOutput:\n../brainlayer/site/AGENTS.md\n../brainlayer/AGENTS.md\n",{"_405":759,"_386":387,"_407":393},{"_431":760,"_433":761,"_435":762,"_437":438,"_391":31,"_439":31,"_41":756,"_440":763,"_442":443,"_398":112,"_91":444},"../brainlayer/site/AGENTS.md\n../brainlayer/AGENTS.md\n","/bin/bash -lc 'cd /workspace/brainlayer && find .. -name AGENTS.md -print'",[764],"31465",{"_433":765,"_160":766,"_710":767,"_91":712},"find .. -name AGENTS.md -print","..","AGENTS.md",{"_405":769,"_386":387,"_407":393},{"_456":770,"_424":756,"_41":-5,"_180":458,"_459":-5,"_91":460},"{\"cmd\":\"cd /workspace/brainlayer && find .. -name AGENTS.md -print\"}",{"_405":772,"_386":387,"_407":393},{"_408":-5,"_463":773,"_41":-5,"_465":774,"_91":467},"gAAAAABqD1BJDbuZI7stkerwzn953TOQxTkp83-fBk_PKKVpRlTtB4jF9QpkBExXQ5MpVcwx8oO8qb_ScHWWRaGyggDLyr9CofcDWMfpwRKybC4sDc2sa2cFmuwZX_xtCECxDD6app-XtnPiSuX8tUxW4U6ITXv78Snzfeae9kL5flr7hSAHMOQvEjedgO0wdmjH2-UiK3Rs1ZVkZqdHyI2R_oEICk6DsdzWTRPt3Y-saJzBT_jIBUDbfXhfLkibLnwqCt73p6WxVg35BfYh3NyOj-gHB-aa1tasw00Ar0yLFQHy6etT2KG1qNr11bN2MPdkfDGL20XdbKyUdnVVOvQdUz-qQ8Fh0LfE9510Ucg9masNnnrwOS2pLnUpe46e_TXLNAtm_rCw91AWJW0l36_MKP7XIZM4htDYTiFfVKEKZMm7HF3Ikee-9ukYNMHl-0p-V9tHR02_wTuG7Tcm1Vp9uzErb9jlINmTMF7iyI7YeoUAxrQJlBfZlvSz_KQyHk_VZc89rIpQVIq_YdyaJBJsQsWLLekdKpDfsC3cONojRGbV0gDuEJDLqK-oe12gf49MOSF-On7GwdRCJQE8r1m4tt7VmGBKRbMCOz7VYBuU2TxHCN1PxGHxjGLOY_6ERLPNuX78l54t0KPG9IDT3haxQaL2usIZL4YISreoFS-tSjT1o2CrJNRyB0LZMzm9bU8Q01ZiVlOfuifkA59zJU0ypdgUGCiVqr1clzJ9hXY25CoWMysCNJo2szBQOcitbyRy3lLzTUPrUqItPLNIa2XkVOyGr7qkTvlpLkCSG7qoZedQFwWJQI9oNImla3GfUBLkWskV5MCmVmmhdfR5-ncXewvM6pJ082dSwVPTf2RzoGB0JLMnqPoAajgMIEU6DhHXccUUgWH3C79dkMNnSMvgzwf5zyoRFKH4v2ghPqZUyg0Nr-B2bVWZq8zqg0XB2XRrYZZI1KnPk9-DchbwDUGx42mrsdWiWArL9uCDpXgBWLjaWUY7WYQIzZy4QNuZps3uVQ0zXhCZaqU-My5UX_tloTrdRBc2EzD81s-NcKQF5J1gkCbi_XgcU93pZfwv60wexhLoJr9aICH0yH5aPRN2ikGS2nJbUC7dwiBRt6jHxVZ-U0ZSYcUShQ6zUbmy9THdrXl7B1AuiAUbR1jUbZcU3ZqCVRMJ159Iynqzc8JytIXKXChWhUa7g7FOyQOHD-sec6w2AE9YpL7PMqeb62lw-TqDEFUJobOlHNGLM98DJIi7yoh9bI4Fy8RhXxhWzb_oFt-lTtt_sOdSujte2vW-YHxlP9qRam8vWJHl8mrWU4pF3Yg-cc6p4ruaGJ2DCqqnPqxNPLtQs6OpxUzRWr3ZXgGRkjna0kZwBSjVotx1hQQNiOTkm3F5Quule-f3m8StXwdV6sPmrGEK9rKrW11fgyGjLfD6W8So_gv-GXLtMQJsAZO2g7IjZePGsfvirpk5TjMpgdzwjct-gUsA_C2i-33MFWW-AK7cvPlEg7_kxMhj3kbOxgdUWZI5fEaiLXqBljBBO2xS",[775],{"_45":776,"_91":531},"**Considering follow-up actions**\n\nI need to perform follow-up actions to possibly fix a low issue, maybe related to a review trigger. It looks like I might need to produce a review comment. Since I'm working as a coding agent, I should commit any changes and create a new PR if there's a code change. The user mentioned something generic about the trigger; I should review the PR, even if no changes are needed. I'll inspect the code at the head and run checks.",{"_405":778,"_386":387,"_407":393},{"_408":779,"_41":780,"_465":781,"_91":467},[],"rs_0c7070e9c0f7e613016a0f5045e1e08194b20ced5462ad35bf",[776],{"_405":783,"_386":387,"_407":393},{"_408":784,"_41":785,"_91":786},[787],"762823c7-9682-4484-89b3-da5b0c19a21d","userMessage",{"_45":788,"_789":790,"_91":45},"\nYou are Codex, assisting with follow-up actions on a GitHub pull request.\n\nInput blocks\n------------\n… # The comment or event that invoked you\n… # PR metadata (title, branches, SHAs, status, etc.)\n… # Comments / Reviews for the PR\n\nPossible triggers\n• A user mentions you (@codex)\n• A reviewer requests changes\n• An automated or internal system asks you to review / update\n\nGuidelines\n1. Read the block first and treat it as the primary intent.\n2. Always consult and to interpret and validate the trigger; use only context that materially affects your decision and ignore the rest.\n3. If the trigger comes from a comment thread, the first block will be combined earlier comments from the same thread, clearly indicated with `Comments in the same thread`.\n4. Remaining blocks are in chronological order, oldest first, one block per comment.\n5. When the trigger relates to CI/build status (e.g., “help me fix CI”), incorporate CI/status details found in as supporting context.\n6. If code change is needed, generate a **new** PR with the requested changes. The PR title and message should summarize the changes **on top** of the original pull request.\n@codex review{\"title\":\"feat(enrich): long-lived supervisor replaces respawn-init storm\",\"body\":\"## Status\\n\\nDRAFT: PR-alpha (`fix/single-writer-arbitration-option-a`) is not merged or visible on GitHub yet. This PR intentionally stays draft until it can be rebased on the pidfile mutex base and the real single-instance path can be validated.\\n\\n## Summary\\n\\n- Added `run_enrich_supervisor()` as a long-lived realtime enrichment loop around one writable `VectorStore(db_path)`.\\n- Added `brainlayer enrich --mode realtime --supervisor` with SIGTERM/SIGINT stop-event handling.\\n- Replaced the LaunchAgent shell `while true` respawn loop with a direct supervisor invocation.\\n- Added supervisor lifecycle, error survival, idle polling, shutdown, log, CLI, and plist regression tests.\\n\\n## Architecture\\n\\n```text\\nlaunchd KeepAlive\\n -> brainlayer enrich --mode realtime --supervisor\\n -> VectorStore(db_path) once\\n -> PR-alpha pidfile mutex once, after rebase\\n -> loop until SIGTERM/SIGINT\\n -> enrich_realtime(store, limit=200000, since_hours=87600)\\n -> existing bounded Gemini worker pool\\n -> existing bounded enrichment write batcher\\n -> if queue empty: sleep BRAINLAYER_ENRICH_IDLE_POLL_SECONDS, default 30s\\n -> if transient cycle error: log and continue\\n -> close VectorStore, releasing PR-alpha pidfile mutex\\n```\\n\\n## Single-init proof\\n\\nFocused test: `pytest tests/test_enrich_supervisor.py::test_supervisor_logs_single_vectorstore_initialized_line -q`\\n\\nRelevant assertion: `caplog` records exactly one `VectorStore initialized for enrich supervisor` line across three supervisor cycles.\\n\\n## Error survival proof\\n\\nFocused test: `pytest tests/test_enrich_supervisor.py::test_supervisor_logs_gemini_error_and_continues -q`\\n\\nThis injects `RuntimeError(\\\"gemini 503\\\")` on cycle 1 and asserts cycle 2 still enriches successfully, with `failed == 1` and `enriched == 1`.\\n\\n## SIGTERM graceful-shutdown proof\\n\\nFocused test: `pytest tests/test_cli_enrich.py::test_cli_enrich_supervisor_handles_sigterm_gracefully -q`\\n\\nThis sends a real `SIGTERM` to the process while the CLI handler is installed, asserts the supervisor stop event is set, and exits with code 0.\\n\\n## Before/after enrich rate\\n\\n- Baseline from dispatch prompt: 213 enrichments / 77 min = ~166/hr.\\n- Draft PR after-rate: pending. Must be sampled for >=30 min after PR-alpha is merged, this branch is rebased, the LaunchAgent is installed/restarted, and the supervisor is running against the production queue.\\n- Target: >=1500/hr sustained per prompt.\\n\\n## Reproducible bench commands\\n\\n```bash\\n# Verify supervisor tests\\npytest tests/test_enrich_supervisor.py tests/test_cli_enrich.py -q\\n\\n# Verify launchd template shape\\npytest tests/test_enrichment_controller.py::test_enrichment_plist_invokes_cli_enrich_entrypoint \\\\\\n tests/test_enrich_supervisor.py::test_enrichment_launchagent_runs_supervisor_not_shell_respawn_loop -q\\n\\n# Full repo gate used by pre-push\\nPYTHONPATH=/Users/etanheyman/Gits/brainlayer-pr-beta/src /Users/etanheyman/Gits/brainlayer-pr-beta/.venv/bin/pytest\\nruff check src tests\\nruff format --check src tests\\n\\n# Post-merge rate sample sketch, run for >=30 min after deploying plist\\nbrainlayer enrich --stats\\n# record enriched count and timestamp, wait >=30m, run again, compute delta/hour\\nbrainlayer enrich --stats\\n```\\n\\n## Test plan\\n\\n- RED first: `pytest tests/test_enrich_supervisor.py -q` initially failed 6/6 on missing `run_enrich_supervisor`.\\n- RED CLI: `pytest tests/test_cli_enrich.py::test_cli_enrich_supervisor_routes_to_controller -q` initially failed on unknown `--supervisor`.\\n- RED plist: `pytest tests/test_enrich_supervisor.py::test_enrichment_launchagent_runs_supervisor_not_shell_respawn_loop -q` initially failed on `/bin/zsh -lc while true` args.\\n- Focused final: `pytest tests/test_enrich_supervisor.py tests/test_cli_enrich.py tests/test_enrichment_controller.py::test_enrichment_plist_invokes_cli_enrich_entrypoint -q` -> 18 passed.\\n- `ruff check src tests` -> passed.\\n- `ruff format --check src tests` -> passed.\\n- Pre-push gate -> 2067 passed / 9 skipped / 75 deselected / 1 xfailed, MCP registration 3 passed, isolated eval/hook routing 32 passed, bun 1 passed, FTS5 shell regression passed.\\n\\n## Known dependency\\n\\nThe actual pidfile single-instance enforcement remains owned by PR-alpha. Until that merges, this PR proves constructor-error propagation with a `WriterInUseError`-shaped fake and keeps the PR draft.\\n\\n\\n\\n\\n> [!NOTE]\\n> ### Replace shell-loop respawn with a long-lived `run_enrich_supervisor` loop in the enrichment LaunchAgent\\n> - Adds `run_enrich_supervisor` to [enrichment_controller.py](https://github.com/EtanHey/brainlayer/pull/306/files#diff-026585aba924166a0b476c6d49978052feec275fe24d58eb945516c2627eeebb): a persistent loop that reuses a single `VectorStore`, sleeps when the queue is idle, continues on per-cycle errors, and returns an `EnrichmentSupervisorResult` with aggregated stats.\\n> - Adds `--supervisor` flag to the `enrich` CLI command; when used with `--mode realtime`, the CLI runs the supervisor loop, installs SIGTERM/SIGINT handlers for graceful shutdown, and exits with the supervisor's exit code.\\n> - Updates the [LaunchAgent plist](https://github.com/EtanHey/brainlayer/pull/306/files#diff-0aae57a309147ea4d1c82c7d669b582cfe5dfa28918361636f35341ce9c936b5) to invoke `__BRAINLAYER_BIN__ enrich --mode realtime --supervisor` directly, delegating restart-on-crash to launchd instead of a `while true` shell loop.\\n> - Idle poll interval is tunable via `BRAINLAYER_ENRICH_IDLE_POLL_SECONDS` environment variable, defaulting to 30 seconds.\\n> - Behavioral Change: the enrichment process is now a single long-running binary managed by launchd rather than a zsh subprocess; crashes surface to launchd immediately rather than being silently restarted by the shell loop.\\n>\\n> \\n>\\n>

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📊 Macroscope summarized 7a89948. 3 files reviewed, 1 issue evaluated, 0 issues filtered, 1 comment posted

\\n>\\n> ### 🗂️ Filtered Issues\\n>\\n>

\\n>\\n\\n\\n\\n\\n\\n## Summary by CodeRabbit\\n\\n## Release Notes\\n\\n* **New Features**\\n * Added supervisor mode for continuous realtime enrichment as a long-lived background service\\n * Configurable processing limits and historical lookback windows for supervised enrichment cycles\\n * Graceful signal handling (SIGTERM/SIGINT) for clean shutdown during active operations\\n * Aggregated error tracking and result reporting across enrichment cycles\\n\\n\\n\\n[![Review Change Stack](https://storage.googleapis.com/coderabbit_public_assets/review-stack-in-coderabbit-ui.svg)](https://app.coderabbit.ai/change-stack/EtanHey/brainlayer/pull/306?utm_source=github_walkthrough&utm_medium=github&utm_campaign=change_stack)\\n\\n\\n\\n\",\"base_ref\":\"be11d44de2487dddd68688263e42d67f57a1a005\",\"head_ref\":\"ed786c4512bc6038fd2a8fabc9c188a1a65a3dac\",\"merge_commit_sha\":null,\"type\":\"pull_request_info\"}{\"type\":\"pull_request_comment\",\"body\":\"\\n\\n\\n> [!WARNING]\\n> ## Rate limit exceeded\\n> \\n> `@EtanHey` has exceeded the limit for the number of commits that can be reviewed per hour. Please wait **39 minutes and 26 seconds** before requesting another review.\\n> \\n> You’ve run out of usage credits. Purchase more in the [billing tab](https://app.coderabbit.ai/settings/subscription?tab=usage&tenantId=6de88e28-6a9e-4b3f-ab4e-251fb4a751b6).\\n> \\n>

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📥 Commits

\\n> \\n> Reviewing files that changed from the base of the PR and between 7a899484cffb168d96af42d9559be075cca8e559 and ed786c4512bc6038fd2a8fabc9c188a1a65a3dac.\\n> \\n>

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📒 Files selected for processing (4)

\\n> \\n> * `src/brainlayer/cli/__init__.py`\\n> * `src/brainlayer/enrichment_controller.py`\\n> * `tests/test_cli_enrich.py`\\n> * `tests/test_enrich_supervisor.py`\\n> \\n>

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📝 Walkthrough

\\n\\n## Walkthrough\\n\\nThis PR introduces a new `enrich --supervisor` mode that runs long-lived realtime enrichment within a persistent controller loop, replaces the LaunchAgent's shell-based supervision with direct CLI invocation, and adds comprehensive test coverage for the supervisor lifecycle, signal handling, error recovery, and plist configuration.\\n\\n## Changes\\n\\n**Enrichment Supervisor Mode Implementation**\\n\\n|Layer / File(s)|Summary|\\n|---|---|\\n|**Supervisor data structures and environment defaults**
`src/brainlayer/enrichment_controller.py`|Introduces `DEFAULT_ENRICH_SUPERVISOR_LIMIT`, `DEFAULT_ENRICH_SUPERVISOR_SINCE_HOURS`, `DEFAULT_ENRICH_IDLE_POLL_SECONDS` constants; adds `EnrichmentSupervisorResult` dataclass to track cycles, work counts, errors, and exit codes; implements `_get_idle_poll_seconds()` and `_stop_aware_sleep()` helpers for environment-configured polling and graceful shutdown.|\\n|**Supervisor controller implementation**
`src/brainlayer/enrichment_controller.py`|Implements `run_enrich_supervisor()` to initialize a reusable vector store, repeatedly invoke an enrichment function (default: `enrich_realtime`), aggregate per-cycle results and errors, continue on exceptions while recording failures, sleep when idle, respect stop events and max-cycle limits, and ensure store closure in a finally block.|\\n|**CLI supervisor mode integration**
`src/brainlayer/cli/__init__.py`|Adds `--supervisor` flag to `enrich` command, imports supervisor controller and constants, creates a threading.Event for shutdown signaling, installs SIGTERM/SIGINT handlers, invokes `run_enrich_supervisor` with computed limit/since_hours defaults, prints aggregate results, and re-raises `typer.Exit` before generic exception handling.|\\n|**LaunchAgent configuration update**
`scripts/launchd/com.brainlayer.enrichment.plist`|Replaces `ProgramArguments` from `/bin/zsh -lc` infinite loop (with hardcoded `--limit`/`--since-hours` and sleep) to direct array invocation `[__BRAINLAYER_BIN__, enrich, --mode, realtime, --supervisor]`.|\\n|**CLI supervisor mode tests**
`tests/test_cli_enrich.py`|Adds tests for `enrich --supervisor` flag: verifies dispatch to `run_enrich_supervisor` with expected defaults, confirms non-`None` stop event is passed, and validates SIGTERM handling sets the stop event and emits shutdown message.|\\n|**Supervisor controller behavior tests**
`tests/test_enrich_supervisor.py`|Comprehensive suite validating supervisor lifecycle: single vector store reuse across cycles, error logging and recovery, graceful shutdown on stop event, constructor error propagation, idle polling sleep intervals, single store-init log line, and launchd plist argument validation (mode/supervisor flags, no shell loop, no legacy options).|\\n|**Plist configuration test update**
`tests/test_enrichment_controller.py`|Updates `test_enrichment_plist_invokes_cli_enrich_entrypoint` to assert `ProgramArguments` array format directly and exclude `while true`, `--limit`, and `--since-hours` strings.|\\n\\n## Estimated code review effort\\n\\n🎯 3 (Moderate) | ⏱️ ~25 minutes\\n\\n## Possibly related PRs\\n\\n- [EtanHey/brainlayer#303](https://github.com/EtanHey/brainlayer/pull/303): Modifies `enrich_realtime` to batch arbitrated enrichment writes—supervisor mode will invoke this updated function repeatedly in each cycle.\\n- [EtanHey/brainlayer#234](https://github.com/EtanHey/brainlayer/pull/234): Hardens the realtime enrichment path with per-store single-writer queuing and token-bucket rate limiting, which supervisor mode will exercise across repeated cycles.\\n- [EtanHey/brainlayer#243](https://github.com/EtanHey/brainlayer/pull/243): Modifies the `enrich` CLI entrypoint with batch `--phase`/`--model` dispatch logic, related to how supervisor mode extends the same CLI entry point.\\n\\n## Poem\\n\\n> 🐰 A supervisor is born, to loop and loop with care, \\n> Enriching data endlessly through the midnight air, \\n> With signal handlers gentle and vector stores that stay, \\n> It polls when idle, sleeps by the way, \\n> Then rises renewed for another day!\\n\\n

\\n\\n\\n\\n\\n

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🚥 Pre-merge checks | ✅ 5

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✅ Passed checks (5 passed)

\\n\\n_{✏️ Tip: You can configure your own custom pre-merge checks in the settings.}\\n\\n

\\n\\n\\n\\n\\n

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✨ Finishing Touches

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🧪 Generate unit tests (beta)

\\n\\n- [ ] Create PR with unit tests\\n- [ ] Commit unit tests in branch `feat/enrich-long-lived-supervisor`\\n\\n

\\n\\n

\\n\\n\\n\\n\\n---\\n\\nThanks for using [CodeRabbit](https://coderabbit.ai?utm_source=oss&utm_medium=github&utm_campaign=EtanHey/brainlayer&utm_content=306)! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out.\\n\\n

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\\n\\n- [X](https://twitter.com/intent/tweet?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A&url=https%3A//coderabbit.ai)\\n- [Mastodon](https://mastodon.social/share?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A%20https%3A%2F%2Fcoderabbit.ai)\\n- [Reddit](https://www.reddit.com/submit?title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&text=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code.%20Check%20it%20out%3A%20https%3A//coderabbit.ai)\\n- [LinkedIn](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fcoderabbit.ai&mini=true&title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&summary=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code)\\n\\n

\\n\\n\\n_{Comment `@coderabbitai help` to get the list of available commands and usage tips.}\\n\\n\\n\\n\\n\\n\\n\\n\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"@coderabbitai review\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"@codex review\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"@cursor @bugbot review\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"\\n

\\n

✅ Actions performed

\\n\\nReview triggered.\\n\\n> Note: CodeRabbit is an incremental review system and does not re-review already reviewed commits. This command is applicable only when automatic reviews are paused.\\n\\n

\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"You need to increase your spend limit or enable usage-based billing to run background agents. [Go to Cursor](https://cursor.com/github-bg-connected)\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"**_{_{![P1 Badge](https://img.shields.io/badge/P1-orange?style=flat)}} Back off after failed supervisor cycle**\\n\\nWhen `enrich_fn` raises, the supervisor immediately `continue`s without any sleep, so a persistent failure path (for example API outage or DB write error) will spin the loop as fast as possible, flooding logs and burning CPU while repeatedly retrying. This is a regression from the previous launchd shell loop behavior, which had a delay between attempts, and it can destabilize production during incidents instead of degrading gracefully.\\n\\nUseful? React with 👍 / 👎.\",\"path\":\"src/brainlayer/enrichment_controller.py\",\"side\":\"RIGHT\",\"line\":184}{\"type\":\"pull_request_comment\",\"body\":\"**_{_{![P2 Badge](https://img.shields.io/badge/P2-yellow?style=flat)}} Preserve explicit --since-hours in supervisor mode**\\n\\nThis remapping treats `since_hours == DEFAULT_REALTIME_ENRICH_SINCE_HOURS` as \\\"option not provided\\\" and replaces it with `DEFAULT_ENRICH_SUPERVISOR_SINCE_HOURS`, so users cannot intentionally request the realtime default window (currently 8760h) in supervisor mode. Passing `--since-hours 8760` is silently changed to 87600, which can unexpectedly widen scope and alter enrichment workload.\\n\\nUseful? React with 👍 / 👎.\",\"path\":\"src/brainlayer/cli/__init__.py\",\"side\":\"RIGHT\",\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"\\n### 💡 Codex Review\\n\\nHere are some automated review suggestions for this pull request.\\n\\n**Reviewed commit:** `7a899484cf`\\n \\n\\n

ℹ️ About Codex in GitHub

\\n
\\n\\n[Your team has set up Codex to review pull requests in this repo](https://chatgpt.com/codex/cloud/settings/general). Reviews are triggered when you\\n- Open a pull request for review\\n- Mark a draft as ready\\n- Comment \\\"@codex review\\\".\\n\\nIf Codex has suggestions, it will comment; otherwise it will react with 👍.\\n\\n\\n\\n\\nCodex can also answer questions or update the PR. Try commenting \\\"@codex address that feedback\\\".\\n \\n

\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"_⚠️ Potential issue_ | _🟠 Major_ | _⚡ Quick win_\\n\\n**Tight loop on persistent cycle errors — supervisor will burn CPU and spam logs during outages.**\\n\\nThe `except Exception` branch (lines 175-181) records the error and `continue`s straight back to the `while` check with no sleep or backoff. The idle-poll sleep at lines 190-192 only fires on the success path when `result.attempted == 0`. So any persistent fast-failing exception (e.g., `_get_gemini_client()` raising `RuntimeError` because `GOOGLE_API_KEY`/`GOOGLE_GENERATIVE_AI_API_KEY` is unset, an import error from `google.genai`, or a misconfigured store) will spin this loop as fast as Python can iterate — pegging a core, flooding the log with `logger.exception` tracebacks, and growing `stats.errors` without bound.\\n\\nSIGTERM still escapes (the stop_event check is at the top of the loop), so this is not a shutdown-blocker, but in a long-lived launchd-supervised process the visible symptoms during a real Gemini/auth outage will be a hot CPU and unbounded log growth until an operator notices.\\n\\nThe error-survival test (`test_supervisor_logs_gemini_error_and_continues`) only injects a single failure followed by a success, so the persistent case is not currently covered.\\n\\n\\n\\n\\n

\\n

🛡️ Suggested fix: reuse the idle-poll backoff on failed cycles

\\n\\n```diff\\n try:\\n result = enrich_fn(store, limit=limit, since_hours=since_hours)\\n except Exception as exc: # noqa: BLE001\\n stats.cycles += 1\\n stats.failed += 1\\n error = f\\\"supervisor: {exc}\\\"\\n stats.errors.append(error)\\n logger.exception(\\\"Enrich supervisor cycle failed; continuing\\\")\\n+ if max_cycles is None or stats.cycles < max_cycles:\\n+ _sleep_or_wait_for_stop(stop_event, idle_poll_seconds, sleep_fn)\\n continue\\n```\\n\\nConsider also adding a regression test that injects an exception on every cycle (with `max_cycles=N`) and asserts `sleep_fn` was invoked between failures, so this doesn't silently regress later.\\n

\\n\\n

\\n

🤖 Prompt for AI Agents

\\n\\n```\\nVerify each finding against current code. Fix only still-valid issues, skip the\\nrest with a brief reason, keep changes minimal, and validate.\\n\\nIn `@src/brainlayer/enrichment_controller.py` around lines 137 - 195, The\\nsupervisor tight-loop on exceptions is caused by the except Exception branch in\\nrun_enrich_supervisor skipping any sleep/backoff; modify that except block in\\nrun_enrich_supervisor (the one that currently increments stats and\\nlogger.exception) to call the same idle-poll/backoff helper\\n_sleep_or_wait_for_stop(stop_event, idle_poll_seconds, sleep_fn) (or a small\\nexponential backoff using sleep_fn) before continuing so repeated failures yield\\nCPU/log backoff; keep the existing stats increments and error recording. Also\\nadd a regression test (e.g., similar to\\ntest_supervisor_logs_gemini_error_and_continues) that forces enrich_fn to raise\\non every cycle with max_cycles > 1 and asserts the provided sleep_fn was invoked\\nbetween failures.\\n```\\n\\n

\\n\\n\",\"path\":\"src/brainlayer/enrichment_controller.py\",\"side\":\"RIGHT\",\"line\":198}{\"type\":\"pull_request_comment\",\"body\":\"**Actionable comments posted: 1**\\n\\n

\\n

🤖 Prompt for all review comments with AI agents

\\n\\n```\\nVerify each finding against current code. Fix only still-valid issues, skip the\\nrest with a brief reason, keep changes minimal, and validate.\\n\\nInline comments:\\nIn `@src/brainlayer/enrichment_controller.py`:\\n- Around line 137-195: The supervisor tight-loop on exceptions is caused by the\\nexcept Exception branch in run_enrich_supervisor skipping any sleep/backoff;\\nmodify that except block in run_enrich_supervisor (the one that currently\\nincrements stats and logger.exception) to call the same idle-poll/backoff helper\\n_sleep_or_wait_for_stop(stop_event, idle_poll_seconds, sleep_fn) (or a small\\nexponential backoff using sleep_fn) before continuing so repeated failures yield\\nCPU/log backoff; keep the existing stats increments and error recording. Also\\nadd a regression test (e.g., similar to\\ntest_supervisor_logs_gemini_error_and_continues) that forces enrich_fn to raise\\non every cycle with max_cycles > 1 and asserts the provided sleep_fn was invoked\\nbetween failures.\\n```\\n\\n

\\n\\n

\\n

🪄 Autofix (Beta)

\\n\\nFix all unresolved CodeRabbit comments on this PR:\\n\\n- [ ] Push a commit to this branch (recommended)\\n- [ ] Create a new PR with the fixes\\n\\n

\\n\\n---\\n\\n

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ℹ️ Review info

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⚙️ Run configuration

\\n\\n**Configuration used**: Organization UI\\n\\n**Review profile**: ASSERTIVE\\n\\n**Plan**: Pro\\n\\n**Run ID**: `e959b4d0-118e-43ff-bd47-bbca7008d924`\\n\\n

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📥 Commits

\\n\\nReviewing files that changed from the base of the PR and between be11d44de2487dddd68688263e42d67f57a1a005 and 7a899484cffb168d96af42d9559be075cca8e559.\\n\\n

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📒 Files selected for processing (6)

\\n\\n* `scripts/launchd/com.brainlayer.enrichment.plist`\\n* `src/brainlayer/cli/__init__.py`\\n* `src/brainlayer/enrichment_controller.py`\\n* `tests/test_cli_enrich.py`\\n* `tests/test_enrich_supervisor.py`\\n* `tests/test_enrichment_controller.py`\\n\\n

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📜 Review details

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⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (4)

\\n\\n* GitHub Check: test (3.12)\\n* GitHub Check: test (3.11)\\n* GitHub Check: test (3.13)\\n* GitHub Check: Macroscope - Correctness Check\\n\\n

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🧰 Additional context used

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📓 Path-based instructions (2)

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\\n

**/*.py

\\n\\n\\n**📄 CodeRabbit inference engine (AGENTS.md)**\\n\\n> `**/*.py`: Flag risky DB or concurrency changes explicitly and do not hand-wave lock behavior\\n> Enforce one-write-at-a-time concurrency constraint; reads are safe but brain_digest is write-heavy and must not run in parallel with other MCP work\\n> Run pytest before claiming behavior changed safely; current test suite has 929 tests\\n> \\n> `**/*.py`: Use `paths.py:get_db_path()` for all database path resolution; all scripts and CLI must use this function rather than hardcoding paths\\n> When performing bulk database operations: stop enrichment workers first, checkpoint WAL before and after, drop FTS triggers before bulk deletes, batch deletes in 5-10K chunks, and checkpoint every 3 batches\\n\\nFiles:\\n- `tests/test_cli_enrich.py`\\n- `tests/test_enrichment_controller.py`\\n- `src/brainlayer/cli/__init__.py`\\n- `src/brainlayer/enrichment_controller.py`\\n- `tests/test_enrich_supervisor.py`\\n\\n

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src/brainlayer/**/*.py

\\n\\n\\n**📄 CodeRabbit inference engine (CLAUDE.md)**\\n\\n> `src/brainlayer/**/*.py`: Use retry logic on `SQLITE_BUSY` errors; each worker must use its own database connection to handle concurrency safely\\n> Classification must preserve `ai_code`, `stack_trace`, and `user_message` verbatim; skip `noise` entries entirely and summarize `build_log` and `dir_listing` entries (structure only)\\n> Use AST-aware chunking via tree-sitter; never split stack traces; mask large tool output\\n> For enrichment backend selection: use Groq as primary backend (cloud, configured in launchd plist), Gemini as fallback via `enrichment_controller.py`, and Ollama as offline last-resort; allow override via `BRAINLAYER_ENRICH_BACKEND` env var\\n> Configure enrichment rate via `BRAINLAYER_ENRICH_RATE` environment variable (default 0.2 = 12 RPM)\\n> Implement chunk lifecycle columns: `superseded_by`, `aggregated_into`, `archived_at` on chunks table; exclude lifecycle-managed chunks from default search; allow `include_archived=True` to show history\\n> Implement `brain_supersede` with safety gate for personal data (journals, notes, health/finance); use soft-delete for `brain_archive` with timestamp\\n> Add `supersedes` parameter to `brain_store` for atomic store-and-replace operations\\n> Run linting and formatting with: `ruff check src/ && ruff format src/`\\n> Run tests with `pytest`\\n> Use `PRAGMA wal_checkpoint(FULL)` before and after bulk database operations to prevent WAL bloat\\n\\nFiles:\\n- `src/brainlayer/cli/__init__.py`\\n- `src/brainlayer/enrichment_controller.py`\\n\\n

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🔇 Additional comments (11)

\\n\\n
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scripts/launchd/com.brainlayer.enrichment.plist (1)
\\n\\n`9-17`: LGTM!\\n\\n
\\n
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tests/test_enrichment_controller.py (1)
\\n\\n`1230-1233`: LGTM!\\n\\n
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src/brainlayer/enrichment_controller.py (1)
\\n\\n`36-38`: LGTM!\\n\\n\\n\\nAlso applies to: 109-119, 121-125, 128-134\\n\\n
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tests/test_enrich_supervisor.py (1)
\\n\\n`1-213`: LGTM!\\n\\n
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src/brainlayer/cli/__init__.py (4)
\\n\\n`906-906`: LGTM!\\n\\n---\\n\\n`911-916`: LGTM!\\n\\n---\\n\\n`944-976`: LGTM!\\n\\n---\\n\\n`1020-1021`: LGTM!\\n\\n
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tests/test_cli_enrich.py (3)
\\n\\n`3-4`: LGTM!\\n\\n---\\n\\n`33-61`: LGTM!\\n\\n---\\n\\n`63-88`: LGTM!\\n\\n
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\\n\\n\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"🟢 **Low** `cli/__init__.py:967`\\n\\n`signal.getsignal()` returns `None` if the previous handler wasn't installed from Python, but `signal.signal()` raises `TypeError` when passed `None`. The `finally` block at lines 967-969 unconditionally restores the previous handlers, so if either `previous_sigterm` or `previous_sigint` is `None`, the cleanup itself crashes.\\n\\n```diff\\n- signal.signal(signal.SIGTERM, previous_sigterm)\\n- signal.signal(signal.SIGINT, previous_sigint)\\n```\\n\\n\\n

\\n

🚀 Reply \\\"fix it for me\\\" or copy this AI Prompt for your agent:

\\n\\n```text\\nIn file src/brainlayer/cli/__init__.py around lines 967-969:\\n\\n`signal.getsignal()` returns `None` if the previous handler wasn't installed from Python, but `signal.signal()` raises `TypeError` when passed `None`. The `finally` block at lines 967-969 unconditionally restores the previous handlers, so if either `previous_sigterm` or `previous_sigint` is `None`, the cleanup itself crashes.\\n\\nEvidence trail:\\nsrc/brainlayer/cli/__init__.py lines 954-969 (viewed at REVIEWED_COMMIT): `previous_sigterm = signal.getsignal(signal.SIGTERM)` (line 954), `previous_sigint = signal.getsignal(signal.SIGINT)` (line 955), and unconditional restore in `finally` block at lines 967-969. Python docs (https://docs.python.org/3/library/signal.html): getsignal() 'returned value may be a callable Python object, or one of the special values signal.SIG_IGN, signal.SIG_DFL or None'; signal.signal() handler must be 'a callable Python object taking two arguments, or one of the special values signal.SIG_IGN or signal.SIG_DFL'.\\n```\\n

\",\"path\":\"src/brainlayer/cli/__init__.py\",\"side\":\"RIGHT\",\"line\":967}{\"type\":\"pull_request_comment\",\"body\":\"@coderabbitai review\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"\\n

\\n

✅ Actions performed

\",\"path\":null,\"side\":null,\"line\":null}{\"type\":\"pull_request_comment\",\"body\":\"Fixed in ed786c45. Supervisor cycle exceptions now sleep via the same idle-poll helper before retrying, with a persistent-failure regression test.\",\"path\":\"src/brainlayer/enrichment_controller.py\",\"side\":\"RIGHT\",\"line\":184}{\"type\":\"pull_request_comment\",\"body\":\"Fixed in ed786c45. Added failure backoff between persistent cycle exceptions and regression coverage for repeated failures.\",\"path\":\"src/brainlayer/enrichment_controller.py\",\"side\":\"RIGHT\",\"line\":198}{\"type\":\"pull_request_comment\",\"body\":\"Fixed in ed786c45. `--since-hours` now defaults to None at the CLI boundary, so omitted supervisor runs use 87600h while explicit values like 8760 are preserved.\",\"path\":\"src/brainlayer/cli/__init__.py\",\"side\":\"RIGHT\",\"line\":null}","text_elements",[],{"_405":792,"_386":387,"_407":393},{"_408":793,"_410":-5,"_41":-5,"_411":-5,"_95":296,"_91":413},[794],{"_45":788,"_91":795},"input_text",{"_405":797,"_386":387,"_407":393},{"_408":798,"_410":-5,"_41":-5,"_411":-5,"_95":296,"_91":413},[799,800],{"_45":802,"_91":795},{"_45":801,"_91":795},"\n /workspace/brainlayer\n bash\n 2026-05-21\n Etc/UTC\n","# AGENTS.md instructions for /workspace/brainlayer\n\n\n# BrainLayer Agent Notes\n\nBrainLayer is the memory layer for the entire ecosystem. If it breaks, every golem degrades into a vanilla LLM with no durable recall.\n\n## Review Guidelines\n- Treat retrieval correctness, write safety, and MCP stability as critical-path concerns.\n- Prefer finding regressions in search quality, lock handling, and tool contracts before style or refactor nits.\n- Flag risky DB or concurrency changes explicitly. Do not hand-wave lock behavior.\n\n## Key Paths\n- `src/brainlayer/`\n- `scripts/`\n- `tests/`\n\n## Database\n- Canonical DB: `~/.local/share/brainlayer/brainlayer.db`\n\n## MCP Tools\n- `brain_search`\n- `brain_store`\n- `brain_recall`\n- `brain_expand`\n- `brain_digest`\n- `brain_entity`\n- `brain_update`\n- `brain_tags`\n\n## Concurrency Rules\n- One write at a time.\n- Reads are safe.\n- `brain_digest` is write-heavy; do not run it in parallel with other MCP work.\n\n## Tests\n- Run `pytest` before claiming behavior changed safely.\n- Current suite size: 929 tests.\n\n## PR Workflow\n- Request `@codex review`.\n- Request `@cursor` and `@bugbot` review.\n\n## Known Issues\n- DB locking during enrichment.\n- WAL can grow to 4.7GB.\n\n",{"_405":804,"_386":387,"_407":393},{"_408":805,"_410":-5,"_41":-5,"_411":-5,"_95":806,"_91":413},[807,808],"developer",{"_45":810,"_91":795},{"_45":809,"_91":795},"\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- imagegen: Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas. (file: /opt/codex/skills/.system/imagegen/SKILL.md)\n- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; prioritize OpenAI docs MCP tools, use bundled references only as helper context, and restrict any fallback browsing to official OpenAI domains. (file: /opt/codex/skills/.system/openai-docs/SKILL.md)\n- plugin-creator: Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, and baseline placeholders you can edit before publishing or testing. Use when Codex needs to create a new local plugin, add optional plugin structure, or generate or update repo-root `.agents/plugins/marketplace.json` entries for plugin ordering and availability metadata. (file: /opt/codex/skills/.system/plugin-creator/SKILL.md)\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /opt/codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /opt/codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n 1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n 2) When `SKILL.md` references relative paths (e.g., `scripts/foo.py`), resolve them relative to the skill directory listed above first, and only consider other paths if needed.\n 3) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n 4) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n 5) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.\n","\nFilesystem sandboxing defines which files can be read or written. `sandbox_mode` is `danger-full-access`: No filesystem sandboxing - all commands are permitted. Network access is enabled.\nApproval policy is currently never. Do not provide the `sandbox_permissions` for any reason, commands will be rejected.\n","turn/started",{"_386":387,"_86":813},{"_102":-5,"_41":393,"_394":814,"_396":397,"_398":815},[],"inProgress",{"_398":817,"_386":387},{"_818":819,"_91":820},"activeFlags",[],"active","thread/started",{"_823":824},"thread",{"_825":-5,"_826":-5,"_827":828,"_829":397,"_437":438,"_830":15,"_831":-5,"_832":-5,"_41":387,"_833":834,"_180":-5,"_160":835,"_836":198,"_442":837,"_398":838,"_76":839,"_840":397},"agentNickname","agentRole","cliVersion","0.124.0","createdAt","ephemeral","forkedFromId","gitInfo","modelProvider","openai","/opt/codex/sessions/2026/05/21/rollout-2026-05-21T18-34-42-019e4bd1-82fc-7d00-8cb2-2f5c6c35e3cb.jsonl","preview","vscode",{"_91":402},[],"updatedAt",[],"messages",[844],{"_41":845,"_846":847,"_848":849,"_850":849,"_408":851,"_398":852,"_410":-5,"_853":31,"_854":855,"_856":857,"_858":-5},"9d888b20-c098-45f2-b333-5ac34f632382","author",{"_95":296,"_180":-5,"_854":867},"create_time",1779388481.466937,"update_time",{"_863":45,"_864":865},"finished_successfully","weight","metadata",{"_859":860},"recipient","all","channel","l1239dk1",{"_861":862},"inline_comments",[],"content_type","parts",[866],"@codex review\nfeat(enrich): long-lived supervisor replaces respawn-init storm\n\n## Status\n\nDRAFT: PR-alpha (`fix/single-writer-arbitration-option-a`) is not merged or visible on GitHub yet. This PR intentionally stays draft until it can be rebased on the pidfile mutex base and the real single-instance path can be validated.\n\n## Summary\n\n- Added `run_enrich_supervisor()` as a long-lived realtime enrichment loop around one writable `VectorStore(db_path)`.\n- Added `brainlayer enrich --mode realtime --supervisor` with SIGTERM/SIGINT stop-event handling.\n- Replaced the LaunchAgent shell `while true` respawn loop with a direct supervisor invocation.\n- Added supervisor lifecycle, error survival, idle polling, shutdown, log, CLI, and plist regression tests.\n\n## Architecture\n\n```text\nlaunchd KeepAlive\n -> brainlayer enrich --mode realtime --supervisor\n -> VectorStore(db_path) once\n -> PR-alpha pidfile mutex once, after rebase\n -> loop until SIGTERM/SIGINT\n -> enrich_realtime(store, limit=200000, since_hours=87600)\n -> existing bounded Gemini worker pool\n -> existing bounded enrichment write batcher\n -> if queue empty: sleep BRAINLAYER_ENRICH_IDLE_POLL_SECONDS, default 30s\n -> if transient cycle error: log and continue\n -> close VectorStore, releasing PR-alpha pidfile mutex\n```\n\n## Single-init proof\n\nFocused test: `pytest tests/test_enrich_supervisor.py::test_supervisor_logs_single_vectorstore_initialized_line -q`\n\nRelevant assertion: `caplog` records exactly one `VectorStore initialized for enrich supervisor` line across three supervisor cycles.\n\n## Error survival proof\n\nFocused test: `pytest tests/test_enrich_supervisor.py::test_supervisor_logs_gemini_error_and_continues -q`\n\nThis injects `RuntimeError(\"gemini 503\")` on cycle 1 and asserts cycle 2 still enriches successfully, with `failed == 1` and `enriched == 1`.\n\n## SIGTERM graceful-shutdown proof\n\nFocused test: `pytest tests/test_cli_enrich.py::test_cli_enrich_supervisor_handles_sigterm_gracefully -q`\n\nThis sends a real `SIGTERM` to the process while the CLI handler is installed, asserts the supervisor stop event is set, and exits with code 0.\n\n## Before/after enrich rate\n\n- Baseline from dispatch prompt: 213 enrichments / 77 min = ~166/hr.\n- Draft PR after-rate: pending. Must be sampled for >=30 min after PR-alpha is merged, this branch is rebased, the LaunchAgent is installed/restarted, and the supervisor is running against the production queue.\n- Target: >=1500/hr sustained per prompt.\n\n## Reproducible bench commands\n\n```bash\n# Verify supervisor tests\npytest tests/test_enrich_supervisor.py tests/test_cli_enrich.py -q\n\n# Verify launchd template shape\npytest tests/test_enrichment_controller.py::test_enrichment_plist_invokes_cli_enrich_entrypoint \\\n tests/test_enrich_supervisor.py::test_enrichment_launchagent_runs_supervisor_not_shell_respawn_loop -q\n\n# Full repo gate used by pre-push\nPYTHONPATH=/Users/etanheyman/Gits/brainlayer-pr-beta/src /Users/etanheyman/Gits/brainlayer-pr-beta/.venv/bin/pytest\nruff check src tests\nruff format --check src tests\n\n# Post-merge rate sample sketch, run for >=30 min after deploying plist\nbrainlayer enrich --stats\n# record enriched count and timestamp, wait >=30m, run again, compute delta/hour\nbrainlayer enrich --stats\n```\n\n## Test plan\n\n- RED first: `pytest tests/test_enrich_supervisor.py -q` initially failed 6/6 on missing `run_enrich_supervisor`.\n- RED CLI: `pytest tests/test_cli_enrich.py::test_cli_enrich_supervisor_routes_to_controller -q` initially failed on unknown `--supervisor`.\n- RED plist: `pytest tests/test_enrich_supervisor.py::test_enrichment_launchagent_runs_supervisor_not_shell_respawn_loop -q` initially failed on `/bin/zsh -lc while true` args.\n- Focused final: `pytest tests/test_enrich_supervisor.py tests/test_cli_enrich.py tests/test_enrichment_controller.py::test_enrichment_plist_invokes_cli_enrich_entrypoint -q` -> 18 passed.\n- `ruff check src tests` -> passed.\n- `ruff format --check src tests` -> passed.\n- Pre-push gate -> 2067 passed / 9 skipped / 75 deselected / 1 xfailed, MCP registration 3 passed, isolated eval/hook routing 32 passed, bun 1 passed, FTS5 shell regression passed.\n\n## Known dependency\n\nThe actual pidfile single-instance enforcement remains owned by PR-alpha. Until that merges, this PR proves constructor-error propagation with a `WriterInUseError`-shaped fake and keeps the PR draft.\n\n\n\n\n> [!NOTE]\n> ### Replace shell-loop respawn with a long-lived `run_enrich_supervisor` loop in the enrichment LaunchAgent\n> - Adds `run_enrich_supervisor` to [enrichment_controller.py](https://github.com/EtanHey/brainlayer/pull/306/files#diff-026585aba924166a0b476c6d49978052feec275fe24d58eb945516c2627eeebb): a persistent loop that reuses a single `VectorStore`, sleeps when the queue is idle, continues on per-cycle errors, and returns an `EnrichmentSupervisorResult` with aggregated stats.\n> - Adds `--supervisor` flag to the `enrich` CLI command; when used with `--mode realtime`, the CLI runs the supervisor loop, installs SIGTERM/SIGINT handlers for graceful shutdown, and exits with the supervisor's exit code.\n> - Updates the [LaunchAgent plist](https://github.com/EtanHey/brainlayer/pull/306/files#diff-0aae57a309147ea4d1c82c7d669b582cfe5dfa28918361636f35341ce9c936b5) to invoke `__BRAINLAYER_BIN__ enrich --mode realtime --supervisor` directly, delegating restart-on-crash to launchd instead of a `while true` shell loop.\n> - Idle poll interval is tunable via `BRAINLAYER_ENRICH_IDLE_POLL_SECONDS` environment variable, defaulting to 30 seconds.\n> - Behavioral Change: the enrichment process is now a single long-running binary managed by launchd rather than a zsh subprocess; crashes surface to launchd immediately rather than being silently restarted by the shell loop.\n>\n> \n>\n>

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📊 Macroscope summarized 7a89948. 3 files reviewed, 1 issue evaluated, 0 issues filtered, 1 comment posted

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📒 Files selected for processing (4)

\n> \n> * `src/brainlayer/cli/__init__.py`\n> * `src/brainlayer/enrichment_controller.py`\n> * `tests/test_cli_enrich.py`\n> * `tests/test_enrich_supervisor.py`\n> \n>

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📝 Walkthrough

\n\n## Walkthrough\n\nThis PR introduces a new `enrich --supervisor` mode that runs long-lived realtime enrichment within a persistent controller loop, replaces the LaunchAgent's shell-based supervision with direct CLI invocation, and adds comprehensive test coverage for the supervisor lifecycle, signal handling, error recovery, and plist configuration.\n\n## Changes\n\n**Enrichment Supervisor Mode Implementation**\n\n|Layer / File(s)|Summary|\n|---|---|\n|**Supervisor data structures and environment defaults**
`src/brainlayer/enrichment_controller.py`|Introduces `DEFAULT_ENRICH_SUPERVISOR_LIMIT`, `DEFAULT_ENRICH_SUPERVISOR_SINCE_HOURS`, `DEFAULT_ENRICH_IDLE_POLL_SECONDS` constants; adds `EnrichmentSupervisorResult` dataclass to track cycles, work counts, errors, and exit codes; implements `_get_idle_poll_seconds()` and `_stop_aware_sleep()` helpers for environment-configured polling and graceful shutdown.|\n|**Supervisor controller implementation**
`src/brainlayer/enrichment_controller.py`|Implements `run_enrich_supervisor()` to initialize a reusable vector store, repeatedly invoke an enrichment function (default: `enrich_realtime`), aggregate per-cycle results and errors, continue on exceptions while recording failures, sleep when idle, respect stop events and max-cycle limits, and ensure store closure in a finally block.|\n|**CLI supervisor mode integration**
`src/brainlayer/cli/__init__.py`|Adds `--supervisor` flag to `enrich` command, imports supervisor controller and constants, creates a threading.Event for shutdown signaling, installs SIGTERM/SIGINT handlers, invokes `run_enrich_supervisor` with computed limit/since_hours defaults, prints aggregate results, and re-raises `typer.Exit` before generic exception handling.|\n|**LaunchAgent configuration update**
`scripts/launchd/com.brainlayer.enrichment.plist`|Replaces `ProgramArguments` from `/bin/zsh -lc` infinite loop (with hardcoded `--limit`/`--since-hours` and sleep) to direct array invocation `[__BRAINLAYER_BIN__, enrich, --mode, realtime, --supervisor]`.|\n|**CLI supervisor mode tests**
`tests/test_cli_enrich.py`|Adds tests for `enrich --supervisor` flag: verifies dispatch to `run_enrich_supervisor` with expected defaults, confirms non-`None` stop event is passed, and validates SIGTERM handling sets the stop event and emits shutdown message.|\n|**Supervisor controller behavior tests**
`tests/test_enrich_supervisor.py`|Comprehensive suite validating supervisor lifecycle: single vector store reuse across cycles, error logging and recovery, graceful shutdown on stop event, constructor error propagation, idle polling sleep intervals, single store-init log line, and launchd plist argument validation (mode/supervisor flags, no shell loop, no legacy options).|\n|**Plist configuration test update**
`tests/test_enrichment_controller.py`|Updates `test_enrichment_plist_invokes_cli_enrich_entrypoint` to assert `ProgramArguments` array format directly and exclude `while true`, `--limit`, and `--since-hours` strings.|\n\n## Estimated code review effort\n\n🎯 3 (Moderate) | ⏱️ ~25 minutes\n\n## Possibly related PRs\n\n- [EtanHey/brainlayer#303](https://github.com/EtanHey/brainlayer/pull/303): Modifies `enrich_realtime` to batch arbitrated enrichment writes—supervisor mode will invoke this updated function repeatedly in each cycle.\n- [EtanHey/brainlayer#234](https://github.com/EtanHey/brainlayer/pull/234): Hardens the realtime enrichment path with per-store single-writer queuing and token-bucket rate limiting, which supervisor mode will exercise across repeated cycles.\n- [EtanHey/brainlayer#243](https://github.com/EtanHey/brainlayer/pull/243): Modifies the `enrich` CLI entrypoint with batch `--phase`/`--model` dispatch logic, related to how supervisor mode extends the same CLI entry point.\n\n## Poem\n\n> 🐰 A supervisor is born, to loop and loop with care, \n> Enriching data endlessly through the midnight air, \n> With signal handlers gentle and vector stores that stay, \n> It polls when idle, sleeps by the way, \n> Then rises renewed for another day!\n\n

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🧪 Generate unit tests (beta)

\n\n- [ ] Create PR with unit tests\n- [ ] Commit unit tests in branch `feat/enrich-long-lived-supervisor`\n\n

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\n\nReview triggered.\n\n> Note: CodeRabbit is an incremental review system and does not re-review already reviewed commits. This command is applicable only when automatic reviews are paused.\n\n

\nYou need to increase your spend limit or enable usage-based billing to run background agents. [Go to Cursor](https://cursor.com/github-bg-connected)\n**_{_{![P1 Badge](https://img.shields.io/badge/P1-orange?style=flat)}} Back off after failed supervisor cycle**\n\nWhen `enrich_fn` raises, the supervisor immediately `continue`s without any sleep, so a persistent failure path (for example API outage or DB write error) will spin the loop as fast as possible, flooding logs and burning CPU while repeatedly retrying. This is a regression from the previous launchd shell loop behavior, which had a delay between attempts, and it can destabilize production during incidents instead of degrading gracefully.\n\nUseful? React with 👍 / 👎.\n**_{_{![P2 Badge](https://img.shields.io/badge/P2-yellow?style=flat)}} Preserve explicit --since-hours in supervisor mode**\n\nThis remapping treats `since_hours == DEFAULT_REALTIME_ENRICH_SINCE_HOURS` as \"option not provided\" and replaces it with `DEFAULT_ENRICH_SUPERVISOR_SINCE_HOURS`, so users cannot intentionally request the realtime default window (currently 8760h) in supervisor mode. Passing `--since-hours 8760` is silently changed to 87600, which can unexpectedly widen scope and alter enrichment workload.\n\nUseful? React with 👍 / 👎.\n\n### 💡 Codex Review\n\nHere are some automated review suggestions for this pull request.\n\n**Reviewed commit:** `7a899484cf`\n \n\n

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\n_⚠️ Potential issue_ | _🟠 Major_ | _⚡ Quick win_\n\n**Tight loop on persistent cycle errors — supervisor will burn CPU and spam logs during outages.**\n\nThe `except Exception` branch (lines 175-181) records the error and `continue`s straight back to the `while` check with no sleep or backoff. The idle-poll sleep at lines 190-192 only fires on the success path when `result.attempted == 0`. So any persistent fast-failing exception (e.g., `_get_gemini_client()` raising `RuntimeError` because `GOOGLE_API_KEY`/`GOOGLE_GENERATIVE_AI_API_KEY` is unset, an import error from `google.genai`, or a misconfigured store) will spin this loop as fast as Python can iterate — pegging a core, flooding the log with `logger.exception` tracebacks, and growing `stats.errors` without bound.\n\nSIGTERM still escapes (the stop_event check is at the top of the loop), so this is not a shutdown-blocker, but in a long-lived launchd-supervised process the visible symptoms during a real Gemini/auth outage will be a hot CPU and unbounded log growth until an operator notices.\n\nThe error-survival test (`test_supervisor_logs_gemini_error_and_continues`) only injects a single failure followed by a success, so the persistent case is not currently covered.\n\n\n\n\n

🛡️ Suggested fix: reuse the idle-poll backoff on failed cycles

\n\n```diff\n try:\n result = enrich_fn(store, limit=limit, since_hours=since_hours)\n except Exception as exc: # noqa: BLE001\n stats.cycles += 1\n stats.failed += 1\n error = f\"supervisor: {exc}\"\n stats.errors.append(error)\n logger.exception(\"Enrich supervisor cycle failed; continuing\")\n+ if max_cycles is None or stats.cycles < max_cycles:\n+ _sleep_or_wait_for_stop(stop_event, idle_poll_seconds, sleep_fn)\n continue\n```\n\nConsider also adding a regression test that injects an exception on every cycle (with `max_cycles=N`) and asserts `sleep_fn` was invoked between failures, so this doesn't silently regress later.\n

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🤖 Prompt for AI Agents

\n\n```\nVerify each finding against current code. Fix only still-valid issues, skip the\nrest with a brief reason, keep changes minimal, and validate.\n\nIn `@src/brainlayer/enrichment_controller.py` around lines 137 - 195, The\nsupervisor tight-loop on exceptions is caused by the except Exception branch in\nrun_enrich_supervisor skipping any sleep/backoff; modify that except block in\nrun_enrich_supervisor (the one that currently increments stats and\nlogger.exception) to call the same idle-poll/backoff helper\n_sleep_or_wait_for_stop(stop_event, idle_poll_seconds, sleep_fn) (or a small\nexponential backoff using sleep_fn) before continuing so repeated failures yield\nCPU/log backoff; keep the existing stats increments and error recording. Also\nadd a regression test (e.g., similar to\ntest_supervisor_logs_gemini_error_and_continues) that forces enrich_fn to raise\non every cycle with max_cycles > 1 and asserts the provided sleep_fn was invoked\nbetween failures.\n```\n\n

\n\n\n**Actionable comments posted: 1**\n\n

🤖 Prompt for all review comments with AI agents

\n\n```\nVerify each finding against current code. Fix only still-valid issues, skip the\nrest with a brief reason, keep changes minimal, and validate.\n\nInline comments:\nIn `@src/brainlayer/enrichment_controller.py`:\n- Around line 137-195: The supervisor tight-loop on exceptions is caused by the\nexcept Exception branch in run_enrich_supervisor skipping any sleep/backoff;\nmodify that except block in run_enrich_supervisor (the one that currently\nincrements stats and logger.exception) to call the same idle-poll/backoff helper\n_sleep_or_wait_for_stop(stop_event, idle_poll_seconds, sleep_fn) (or a small\nexponential backoff using sleep_fn) before continuing so repeated failures yield\nCPU/log backoff; keep the existing stats increments and error recording. Also\nadd a regression test (e.g., similar to\ntest_supervisor_logs_gemini_error_and_continues) that forces enrich_fn to raise\non every cycle with max_cycles > 1 and asserts the provided sleep_fn was invoked\nbetween failures.\n```\n\n

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🪄 Autofix (Beta)

\n\nFix all unresolved CodeRabbit comments on this PR:\n\n- [ ] Push a commit to this branch (recommended)\n- [ ] Create a new PR with the fixes\n\n

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📒 Files selected for processing (6)

\n\n* `scripts/launchd/com.brainlayer.enrichment.plist`\n* `src/brainlayer/cli/__init__.py`\n* `src/brainlayer/enrichment_controller.py`\n* `tests/test_cli_enrich.py`\n* `tests/test_enrich_supervisor.py`\n* `tests/test_enrichment_controller.py`\n\n

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\n\n* GitHub Check: test (3.12)\n* GitHub Check: test (3.11)\n* GitHub Check: test (3.13)\n* GitHub Check: Macroscope - Correctness Check\n\n

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📓 Path-based instructions (2)

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**/*.py

\n\n\n**📄 CodeRabbit inference engine (AGENTS.md)**\n\n> `**/*.py`: Flag risky DB or concurrency changes explicitly and do not hand-wave lock behavior\n> Enforce one-write-at-a-time concurrency constraint; reads are safe but brain_digest is write-heavy and must not run in parallel with other MCP work\n> Run pytest before claiming behavior changed safely; current test suite has 929 tests\n> \n> `**/*.py`: Use `paths.py:get_db_path()` for all database path resolution; all scripts and CLI must use this function rather than hardcoding paths\n> When performing bulk database operations: stop enrichment workers first, checkpoint WAL before and after, drop FTS triggers before bulk deletes, batch deletes in 5-10K chunks, and checkpoint every 3 batches\n\nFiles:\n- `tests/test_cli_enrich.py`\n- `tests/test_enrichment_controller.py`\n- `src/brainlayer/cli/__init__.py`\n- `src/brainlayer/enrichment_controller.py`\n- `tests/test_enrich_supervisor.py`\n\n

src/brainlayer/**/*.py

\n\n\n**📄 CodeRabbit inference engine (CLAUDE.md)**\n\n> `src/brainlayer/**/*.py`: Use retry logic on `SQLITE_BUSY` errors; each worker must use its own database connection to handle concurrency safely\n> Classification must preserve `ai_code`, `stack_trace`, and `user_message` verbatim; skip `noise` entries entirely and summarize `build_log` and `dir_listing` entries (structure only)\n> Use AST-aware chunking via tree-sitter; never split stack traces; mask large tool output\n> For enrichment backend selection: use Groq as primary backend (cloud, configured in launchd plist), Gemini as fallback via `enrichment_controller.py`, and Ollama as offline last-resort; allow override via `BRAINLAYER_ENRICH_BACKEND` env var\n> Configure enrichment rate via `BRAINLAYER_ENRICH_RATE` environment variable (default 0.2 = 12 RPM)\n> Implement chunk lifecycle columns: `superseded_by`, `aggregated_into`, `archived_at` on chunks table; exclude lifecycle-managed chunks from default search; allow `include_archived=True` to show history\n> Implement `brain_supersede` with safety gate for personal data (journals, notes, health/finance); use soft-delete for `brain_archive` with timestamp\n> Add `supersedes` parameter to `brain_store` for atomic store-and-replace operations\n> Run linting and formatting with: `ruff check src/ && ruff format src/`\n> Run tests with `pytest`\n> Use `PRAGMA wal_checkpoint(FULL)` before and after bulk database operations to prevent WAL bloat\n\nFiles:\n- `src/brainlayer/cli/__init__.py`\n- `src/brainlayer/enrichment_controller.py`\n\n

\n\n

🔇 Additional comments (11)

\n\n
\n
scripts/launchd/com.brainlayer.enrichment.plist (1)
\n\n`9-17`: LGTM!\n\n
\n
\n
tests/test_enrichment_controller.py (1)
\n\n`1230-1233`: LGTM!\n\n
\n
\n
src/brainlayer/enrichment_controller.py (1)
\n\n`36-38`: LGTM!\n\n\n\nAlso applies to: 109-119, 121-125, 128-134\n\n
\n
\n
tests/test_enrich_supervisor.py (1)
\n\n`1-213`: LGTM!\n\n
\n
\n
src/brainlayer/cli/__init__.py (4)
\n\n`906-906`: LGTM!\n\n---\n\n`911-916`: LGTM!\n\n---\n\n`944-976`: LGTM!\n\n---\n\n`1020-1021`: LGTM!\n\n
\n
\n
tests/test_cli_enrich.py (3)
\n\n`3-4`: LGTM!\n\n---\n\n`33-61`: LGTM!\n\n---\n\n`63-88`: LGTM!\n\n
\n\n

\n\n

\n\n\n🟢 **Low** `cli/__init__.py:967`\n\n`signal.getsignal()` returns `None` if the previous handler wasn't installed from Python, but `signal.signal()` raises `TypeError` when passed `None`. The `finally` block at lines 967-969 unconditionally restores the previous handlers, so if either `previous_sigterm` or `previous_sigint` is `None`, the cleanup itself crashes.\n\n```diff\n- signal.signal(signal.SIGTERM, previous_sigterm)\n- signal.signal(signal.SIGINT, previous_sigint)\n```\n\n\n

🚀 Reply \"fix it for me\" or copy this AI Prompt for your agent:

\n\n```text\nIn file src/brainlayer/cli/__init__.py around lines 967-969:\n\n`signal.getsignal()` returns `None` if the previous handler wasn't installed from Python, but `signal.signal()` raises `TypeError` when passed `None`. The `finally` block at lines 967-969 unconditionally restores the previous handlers, so if either `previous_sigterm` or `previous_sigint` is `None`, the cleanup itself crashes.\n\nEvidence trail:\nsrc/brainlayer/cli/__init__.py lines 954-969 (viewed at REVIEWED_COMMIT): `previous_sigterm = signal.getsignal(signal.SIGTERM)` (line 954), `previous_sigint = signal.getsignal(signal.SIGINT)` (line 955), and unconditional restore in `finally` block at lines 967-969. Python docs (https://docs.python.org/3/library/signal.html): getsignal() 'returned value may be a callable Python object, or one of the special values signal.SIG_IGN, signal.SIG_DFL or None'; signal.signal() handler must be 'a callable Python object taking two arguments, or one of the special values signal.SIG_IGN or signal.SIG_DFL'.\n```\n

\n@coderabbitai review\n\n

✅ Actions performed

\n\nReview triggered.\n\n> Note: CodeRabbit is an incremental review system and does not re-review already reviewed commits. This command is applicable only when automatic reviews are paused.\n\n

\nFixed in ed786c45. Supervisor cycle exceptions now sleep via the same idle-poll helper before retrying, with a persistent-failure regression test.\nFixed in ed786c45. Added failure backoff between persistent cycle exceptions and regression coverage for repeated failures.\nFixed in ed786c45. `--since-hours` now defaults to None at the CLI boundary, so omitted supervisor runs use 87600h while explicit values like 8760 are preserved.",{},"created",1779388604.1926813,"Completing the task","event_type","info",{"_91":413,"_95":92,"_408":902},{"_91":899,"_900":901},{"_91":876,"_877":492,"_878":879,"_880":881,"_882":-5},"pr","pr_title","pr_message","### Motivation\n- Prevent a cleanup-time `TypeError` when `signal.getsignal()` returns `None` for prior handlers in the `enrich --mode realtime --supervisor` path.\n\n### Description\n- Guard restoration of previous signal handlers in `enrich --mode realtime --supervisor` so we only call `signal.signal(...)` when the saved handler is not `None` in `src/brainlayer/cli/__init__.py`.\n- Add regression test `test_cli_enrich_supervisor_skips_restoring_none_signal_handlers` in `tests/test_cli_enrich.py` that simulates `signal.getsignal()` returning `None` and verifies the CLI exit is clean.\n\n### Testing\n- Ran `pytest tests/test_cli_enrich.py -q`, which completed successfully with all tests passing (`12 passed`, 1 warning).","output_diff",{"_91":880,"_883":438,"_127":128,"_884":-5,"_295":885,"_886":887,"_888":299,"_889":890,"_891":299,"_892":893,"_894":895},"pre_apply_patch","repo_id","preapply_patch_base_commit_sha","diff --git a/src/brainlayer/cli/__init__.py b/src/brainlayer/cli/__init__.py\nindex 3db924092a0d00c4272b55e9dd023246078444cb..cd10e446b4d94db1aa217099417eea9da031ee20 100644\n--- a/src/brainlayer/cli/__init__.py\n+++ b/src/brainlayer/cli/__init__.py\n@@ -941,52 +941,54 @@ def enrich(\n return\n \n if mode == \"realtime\":\n if supervisor:\n import signal\n import threading\n \n stop_event = threading.Event()\n \n def handle_signal(signum, frame):\n rprint(\"\\n[bold yellow]Stopping enrich supervisor...[/]\")\n stop_event.set()\n \n previous_sigterm = signal.getsignal(signal.SIGTERM)\n previous_sigint = signal.getsignal(signal.SIGINT)\n signal.signal(signal.SIGTERM, handle_signal)\n signal.signal(signal.SIGINT, handle_signal)\n try:\n result = run_enrich_supervisor(\n db_path,\n limit=limit or DEFAULT_ENRICH_SUPERVISOR_LIMIT,\n since_hours=since_hours if since_hours is not None else DEFAULT_ENRICH_SUPERVISOR_SINCE_HOURS,\n stop_event=stop_event,\n )\n finally:\n- signal.signal(signal.SIGTERM, previous_sigterm)\n- signal.signal(signal.SIGINT, previous_sigint)\n+ if previous_sigterm is not None:\n+ signal.signal(signal.SIGTERM, previous_sigterm)\n+ if previous_sigint is not None:\n+ signal.signal(signal.SIGINT, previous_sigint)\n console.print(\n f\"[bold green]Done![/] mode={result.mode} cycles={result.cycles} \"\n f\"attempted={result.attempted} enriched={result.enriched} \"\n f\"skipped={result.skipped} failed={result.failed}\"\n )\n raise typer.Exit(result.exit_code)\n \n store = VectorStore(db_path)\n try:\n result = enrich_realtime(\n store,\n limit=limit or 25,\n since_hours=since_hours if since_hours is not None else DEFAULT_REALTIME_ENRICH_SINCE_HOURS,\n )\n console.print(\n f\"[bold green]Done![/] mode={result.mode} attempted={result.attempted} \"\n f\"enriched={result.enriched} skipped={result.skipped} failed={result.failed}\"\n )\n finally:\n store.close()\n return\n \n if phase == \"submit\":\n cloud_backfill.run_full_backfill(\n db_path,\ndiff --git a/tests/test_cli_enrich.py b/tests/test_cli_enrich.py\nindex 9efb97af836adc4f0b46f62ec224ceffe9d5a23d..f6c160df41b86476b5d966c491d348c092e7a48b 100644\n--- a/tests/test_cli_enrich.py\n+++ b/tests/test_cli_enrich.py\n@@ -91,50 +91,90 @@ def test_cli_enrich_supervisor_handles_sigterm_gracefully(monkeypatch):\n \n def fake_supervisor(db_path, stop_event=None, **kwargs):\n os.kill(os.getpid(), signal.SIGTERM)\n called[\"stop_event_set\"] = stop_event.is_set()\n return SimpleNamespace(\n mode=\"supervisor\",\n cycles=1,\n attempted=1,\n enriched=1,\n skipped=0,\n failed=0,\n errors=[],\n exit_code=0,\n )\n \n monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\n \n result = runner.invoke(app, [\"enrich\", \"--mode\", \"realtime\", \"--supervisor\"])\n \n assert result.exit_code == 0\n assert called[\"stop_event_set\"] is True\n assert \"Stopping enrich supervisor\" in result.stdout\n assert \"mode=supervisor\" in result.stdout\n \n \n+def test_cli_enrich_supervisor_skips_restoring_none_signal_handlers(monkeypatch):\n+ monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n+\n+ def fake_supervisor(db_path, stop_event=None, **kwargs):\n+ return SimpleNamespace(\n+ mode=\"supervisor\",\n+ cycles=1,\n+ attempted=0,\n+ enriched=0,\n+ skipped=0,\n+ failed=0,\n+ errors=[],\n+ exit_code=0,\n+ )\n+\n+ monkeypatch.setattr(\"brainlayer.enrichment_controller.run_enrich_supervisor\", fake_supervisor)\n+\n+ import signal as _signal\n+\n+ original_getsignal = _signal.getsignal\n+ original_signal = _signal.signal\n+\n+ def fake_getsignal(signum):\n+ if signum in (_signal.SIGTERM, _signal.SIGINT):\n+ return None\n+ return original_getsignal(signum)\n+\n+ def fake_signal(signum, handler):\n+ if handler is None:\n+ raise TypeError(\"handler must not be None\")\n+ return original_signal(signum, handler)\n+\n+ monkeypatch.setattr(_signal, \"getsignal\", fake_getsignal)\n+ monkeypatch.setattr(_signal, \"signal\", fake_signal)\n+\n+ result = runner.invoke(app, [\"enrich\", \"--mode\", \"realtime\", \"--supervisor\"])\n+\n+ assert result.exit_code == 0\n+\n+\n def test_cli_enrich_mode_batch_submit_routes_to_cloud_backfill(monkeypatch):\n monkeypatch.setattr(\"brainlayer.cli.get_db_path\", lambda: \"/tmp/test.db\")\n called = {}\n \n def fake_backfill(db_path, model, dry_run=False, sample=0, no_sanitize=False, submit_only=False):\n called.update(\n {\n \"db_path\": str(db_path),\n \"model\": model,\n \"dry_run\": dry_run,\n \"sample\": sample,\n \"no_sanitize\": no_sanitize,\n \"submit_only\": submit_only,\n }\n )\n \n monkeypatch.setattr(\"brainlayer.cloud_backfill.run_full_backfill\", fake_backfill)\n \n result = runner.invoke(app, [\"enrich\", \"--mode\", \"batch\", \"--phase\", \"submit\", \"--limit\", \"50\"])\n \n assert result.exit_code == 0\n assert called[\"db_path\"] == \"/tmp/test.db\"\n assert called[\"sample\"] == 50\n assert called[\"submit_only\"] is True\n \n","external_storage_diff",{"_896":897,"_898":-5},"files_modified","lines_added",44,"lines_removed","commit_message","fix(cli): avoid restoring None signal handlers in supervisor","additional_parent_commit_shas",[],"file_id","file_00000000b1d071f7b9485310d145ce4b","ttl","partial_repo_snapshot","files",[],[903],{"_863":45,"_45":415},{"_91":296,"_41":83,"_95":296,"_906":907,"_908":909,"_910":911,"_131":-5,"_118":912},[82],"input_items",[929,930,931,932,933,934,935,936,937,938,939,940,941,942,943,944,945,946,947],"external_post_config",{"_913":914,"_240":241,"_915":275,"_252":-5,"_883":235,"_916":-5,"_917":918,"_919":920,"_921":-5,"_922":-5,"_923":924,"_925":15,"_926":57,"_927":52,"_928":15},"user_model_slug","slug",1779388472.084292,"installation_id",115613314,"pr_number","review_trigger","comment_id",4511543990,"comment_type","issue","pr_write_guard_token","pending_pr_reaction_id","pending_comment_reaction_id",360308002,"comment_if_no_findings","comment_on_error","share_url","is_parallel_review",{"_91":413,"_95":296,"_408":977},{"_282":283,"_284":972,"_973":974,"_975":128,"_292":-5,"_91":976},{"_91":948,"_284":971,"_160":-5,"_951":-5,"_953":-5},{"_91":948,"_284":960,"_160":-5,"_951":-5,"_953":-5},{"_91":948,"_284":970,"_160":-5,"_951":-5,"_953":-5},{"_91":948,"_284":969,"_160":-5,"_951":-5,"_953":-5},{"_91":948,"_284":959,"_160":-5,"_951":-5,"_953":-5},{"_91":948,"_284":968,"_160":-5,"_951":-5,"_953":-5},{"_91":948,"_284":967,"_160":955,"_951":952,"_953":958},{"_91":948,"_284":966,"_160":950,"_951":952,"_953":-5},{"_91":948,"_284":965,"_160":-5,"_951":-5,"_953":-5},{"_91":948,"_284":964,"_160":955,"_951":952,"_953":956},{"_91":948,"_284":963,"_160":-5,"_951":-5,"_953":-5},{"_91":948,"_284":961,"_160":950,"_951":952,"_953":962},{"_91":948,"_284":960,"_160":-5,"_951":-5,"_953":-5},{"_91":948,"_284":959,"_160":-5,"_951":-5,"_953":-5},{"_91":948,"_284":957,"_160":955,"_951":952,"_953":958},{"_91":948,"_284":954,"_160":955,"_951":952,"_953":956},{"_91":948,"_284":949,"_160":950,"_951":952,"_953":-5},"pull_request_comment","Fixed in ed786c45. `--since-hours` now defaults to None at the CLI boundary, so omitted supervisor runs use 87600h while explicit values like 8760 are preserved.","src/brainlayer/cli/__init__.py","side","RIGHT","line","Fixed in ed786c45. Added failure backoff between persistent cycle exceptions and regression coverage for repeated failures.","src/brainlayer/enrichment_controller.py",198,"Fixed in ed786c45. Supervisor cycle exceptions now sleep via the same idle-poll helper before retrying, with a persistent-failure regression test.",184,"\n

✅ Actions performed

\n\nReview triggered.\n\n> Note: CodeRabbit is an incremental review system and does not re-review already reviewed commits. This command is applicable only when automatic reviews are paused.\n\n

","@coderabbitai review","🟢 **Low** `cli/__init__.py:967`\n\n`signal.getsignal()` returns `None` if the previous handler wasn't installed from Python, but `signal.signal()` raises `TypeError` when passed `None`. The `finally` block at lines 967-969 unconditionally restores the previous handlers, so if either `previous_sigterm` or `previous_sigint` is `None`, the cleanup itself crashes.\n\n```diff\n- signal.signal(signal.SIGTERM, previous_sigterm)\n- signal.signal(signal.SIGINT, previous_sigint)\n```\n\n\n

🚀 Reply \"fix it for me\" or copy this AI Prompt for your agent:

",967,"**Actionable comments posted: 1**\n\n

🤖 Prompt for all review comments with AI agents

\n\n

🪄 Autofix (Beta)

\n\nFix all unresolved CodeRabbit comments on this PR:\n\n- [ ] Push a commit to this branch (recommended)\n- [ ] Create a new PR with the fixes\n\n

\n\n---\n\n

ℹ️ Review info

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⚙️ Run configuration

\n\n**Configuration used**: Organization UI\n\n**Review profile**: ASSERTIVE\n\n**Plan**: Pro\n\n**Run ID**: `e959b4d0-118e-43ff-bd47-bbca7008d924`\n\n

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📥 Commits

\n\nReviewing files that changed from the base of the PR and between be11d44de2487dddd68688263e42d67f57a1a005 and 7a899484cffb168d96af42d9559be075cca8e559.\n\n

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📒 Files selected for processing (6)

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📜 Review details

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⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (4)

\n\n* GitHub Check: test (3.12)\n* GitHub Check: test (3.11)\n* GitHub Check: test (3.13)\n* GitHub Check: Macroscope - Correctness Check\n\n

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🧰 Additional context used

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📓 Path-based instructions (2)

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**/*.py

src/brainlayer/**/*.py

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🔇 Additional comments (11)

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\n
scripts/launchd/com.brainlayer.enrichment.plist (1)
\n\n`9-17`: LGTM!\n\n
\n
\n
tests/test_enrichment_controller.py (1)
\n\n`1230-1233`: LGTM!\n\n
\n
\n
src/brainlayer/enrichment_controller.py (1)
\n\n`36-38`: LGTM!\n\n\n\nAlso applies to: 109-119, 121-125, 128-134\n\n
\n
\n
tests/test_enrich_supervisor.py (1)
\n\n`1-213`: LGTM!\n\n
\n
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src/brainlayer/cli/__init__.py (4)
\n\n`906-906`: LGTM!\n\n---\n\n`911-916`: LGTM!\n\n---\n\n`944-976`: LGTM!\n\n---\n\n`1020-1021`: LGTM!\n\n
\n
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tests/test_cli_enrich.py (3)
\n\n`3-4`: LGTM!\n\n---\n\n`33-61`: LGTM!\n\n---\n\n`63-88`: LGTM!\n\n
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\n\n

\n\n","_⚠️ Potential issue_ | _🟠 Major_ | _⚡ Quick win_\n\n**Tight loop on persistent cycle errors — supervisor will burn CPU and spam logs during outages.**\n\nThe `except Exception` branch (lines 175-181) records the error and `continue`s straight back to the `while` check with no sleep or backoff. The idle-poll sleep at lines 190-192 only fires on the success path when `result.attempted == 0`. So any persistent fast-failing exception (e.g., `_get_gemini_client()` raising `RuntimeError` because `GOOGLE_API_KEY`/`GOOGLE_GENERATIVE_AI_API_KEY` is unset, an import error from `google.genai`, or a misconfigured store) will spin this loop as fast as Python can iterate — pegging a core, flooding the log with `logger.exception` tracebacks, and growing `stats.errors` without bound.\n\nSIGTERM still escapes (the stop_event check is at the top of the loop), so this is not a shutdown-blocker, but in a long-lived launchd-supervised process the visible symptoms during a real Gemini/auth outage will be a hot CPU and unbounded log growth until an operator notices.\n\nThe error-survival test (`test_supervisor_logs_gemini_error_and_continues`) only injects a single failure followed by a success, so the persistent case is not currently covered.\n\n\n\n\n

🛡️ Suggested fix: reuse the idle-poll backoff on failed cycles

\n\n

🤖 Prompt for AI Agents

\n\n","\n### 💡 Codex Review\n\nHere are some automated review suggestions for this pull request.\n\n**Reviewed commit:** `7a899484cf`\n \n\n

ℹ️ About Codex in GitHub

","**_{_{![P2 Badge](https://img.shields.io/badge/P2-yellow?style=flat)}} Preserve explicit --since-hours in supervisor mode**\n\nThis remapping treats `since_hours == DEFAULT_REALTIME_ENRICH_SINCE_HOURS` as \"option not provided\" and replaces it with `DEFAULT_ENRICH_SUPERVISOR_SINCE_HOURS`, so users cannot intentionally request the realtime default window (currently 8760h) in supervisor mode. Passing `--since-hours 8760` is silently changed to 87600, which can unexpectedly widen scope and alter enrichment workload.\n\nUseful? React with 👍 / 👎.","**_{_{![P1 Badge](https://img.shields.io/badge/P1-orange?style=flat)}} Back off after failed supervisor cycle**\n\nWhen `enrich_fn` raises, the supervisor immediately `continue`s without any sleep, so a persistent failure path (for example API outage or DB write error) will spin the loop as fast as possible, flooding logs and burning CPU while repeatedly retrying. This is a regression from the previous launchd shell loop behavior, which had a delay between attempts, and it can destabilize production during incidents instead of degrading gracefully.\n\nUseful? React with 👍 / 👎.","You need to increase your spend limit or enable usage-based billing to run background agents. [Go to Cursor](https://cursor.com/github-bg-connected)","@cursor @bugbot review","@codex review","\n\n\n> [!WARNING]\n> ## Rate limit exceeded\n> \n> `@EtanHey` has exceeded the limit for the number of commits that can be reviewed per hour. Please wait **39 minutes and 26 seconds** before requesting another review.\n> \n> You’ve run out of usage credits. Purchase more in the [billing tab](https://app.coderabbit.ai/settings/subscription?tab=usage&tenantId=6de88e28-6a9e-4b3f-ab4e-251fb4a751b6).\n> \n>

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⌛ How to resolve this issue?

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🚦 How do rate limits work?

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ℹ️ Review info

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⚙️ Run configuration

\n> \n> **Configuration used**: Organization UI\n> \n> **Review profile**: ASSERTIVE\n> \n> **Plan**: Pro\n> \n> **Run ID**: `f950475c-d248-40fe-ac1a-1447eaa1e54d`\n> \n>

\n> \n>

\n>

📥 Commits

\n> \n> Reviewing files that changed from the base of the PR and between 7a899484cffb168d96af42d9559be075cca8e559 and ed786c4512bc6038fd2a8fabc9c188a1a65a3dac.\n> \n>

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📒 Files selected for processing (4)

\n> \n> * `src/brainlayer/cli/__init__.py`\n> * `src/brainlayer/enrichment_controller.py`\n> * `tests/test_cli_enrich.py`\n> * `tests/test_enrich_supervisor.py`\n> \n>

\n> \n>

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📝 Walkthrough

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🚥 Pre-merge checks | ✅ 5

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✅ Passed checks (5 passed)

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🧪 Generate unit tests (beta)

\n\n- [ ] Create PR with unit tests\n- [ ] Commit unit tests in branch `feat/enrich-long-lived-supervisor`\n\n

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\n\n\n_{Comment `@coderabbitai help` to get the list of available commands and usage tips.}\n\n\n\n\n\n\n\n","## Status\n\nDRAFT: PR-alpha (`fix/single-writer-arbitration-option-a`) is not merged or visible on GitHub yet. This PR intentionally stays draft until it can be rebased on the pidfile mutex base and the real single-instance path can be validated.\n\n## Summary\n\n- Added `run_enrich_supervisor()` as a long-lived realtime enrichment loop around one writable `VectorStore(db_path)`.\n- Added `brainlayer enrich --mode realtime --supervisor` with SIGTERM/SIGINT stop-event handling.\n- Replaced the LaunchAgent shell `while true` respawn loop with a direct supervisor invocation.\n- Added supervisor lifecycle, error survival, idle polling, shutdown, log, CLI, and plist regression tests.\n\n## Architecture\n\n```text\nlaunchd KeepAlive\n -> brainlayer enrich --mode realtime --supervisor\n -> VectorStore(db_path) once\n -> PR-alpha pidfile mutex once, after rebase\n -> loop until SIGTERM/SIGINT\n -> enrich_realtime(store, limit=200000, since_hours=87600)\n -> existing bounded Gemini worker pool\n -> existing bounded enrichment write batcher\n -> if queue empty: sleep BRAINLAYER_ENRICH_IDLE_POLL_SECONDS, default 30s\n -> if transient cycle error: log and continue\n -> close VectorStore, releasing PR-alpha pidfile mutex\n```\n\n## Single-init proof\n\nFocused test: `pytest tests/test_enrich_supervisor.py::test_supervisor_logs_single_vectorstore_initialized_line -q`\n\nRelevant assertion: `caplog` records exactly one `VectorStore initialized for enrich supervisor` line across three supervisor cycles.\n\n## Error survival proof\n\nFocused test: `pytest tests/test_enrich_supervisor.py::test_supervisor_logs_gemini_error_and_continues -q`\n\nThis injects `RuntimeError(\"gemini 503\")` on cycle 1 and asserts cycle 2 still enriches successfully, with `failed == 1` and `enriched == 1`.\n\n## SIGTERM graceful-shutdown proof\n\nFocused test: `pytest tests/test_cli_enrich.py::test_cli_enrich_supervisor_handles_sigterm_gracefully -q`\n\nThis sends a real `SIGTERM` to the process while the CLI handler is installed, asserts the supervisor stop event is set, and exits with code 0.\n\n## Before/after enrich rate\n\n- Baseline from dispatch prompt: 213 enrichments / 77 min = ~166/hr.\n- Draft PR after-rate: pending. Must be sampled for >=30 min after PR-alpha is merged, this branch is rebased, the LaunchAgent is installed/restarted, and the supervisor is running against the production queue.\n- Target: >=1500/hr sustained per prompt.\n\n## Reproducible bench commands\n\n```bash\n# Verify supervisor tests\npytest tests/test_enrich_supervisor.py tests/test_cli_enrich.py -q\n\n# Verify launchd template shape\npytest tests/test_enrichment_controller.py::test_enrichment_plist_invokes_cli_enrich_entrypoint \\\n tests/test_enrich_supervisor.py::test_enrichment_launchagent_runs_supervisor_not_shell_respawn_loop -q\n\n# Full repo gate used by pre-push\nPYTHONPATH=/Users/etanheyman/Gits/brainlayer-pr-beta/src /Users/etanheyman/Gits/brainlayer-pr-beta/.venv/bin/pytest\nruff check src tests\nruff format --check src tests\n\n# Post-merge rate sample sketch, run for >=30 min after deploying plist\nbrainlayer enrich --stats\n# record enriched count and timestamp, wait >=30m, run again, compute delta/hour\nbrainlayer enrich --stats\n```\n\n## Test plan\n\n- RED first: `pytest tests/test_enrich_supervisor.py -q` initially failed 6/6 on missing `run_enrich_supervisor`.\n- RED CLI: `pytest tests/test_cli_enrich.py::test_cli_enrich_supervisor_routes_to_controller -q` initially failed on unknown `--supervisor`.\n- RED plist: `pytest tests/test_enrich_supervisor.py::test_enrichment_launchagent_runs_supervisor_not_shell_respawn_loop -q` initially failed on `/bin/zsh -lc while true` args.\n- Focused final: `pytest tests/test_enrich_supervisor.py tests/test_cli_enrich.py tests/test_enrichment_controller.py::test_enrichment_plist_invokes_cli_enrich_entrypoint -q` -> 18 passed.\n- `ruff check src tests` -> passed.\n- `ruff format --check src tests` -> passed.\n- Pre-push gate -> 2067 passed / 9 skipped / 75 deselected / 1 xfailed, MCP registration 3 passed, isolated eval/hook routing 32 passed, bun 1 passed, FTS5 shell regression passed.\n\n## Known dependency\n\nThe actual pidfile single-instance enforcement remains owned by PR-alpha. Until that merges, this PR proves constructor-error propagation with a `WriterInUseError`-shaped fake and keeps the PR draft.\n\n\n\n\n> [!NOTE]\n> ### Replace shell-loop respawn with a long-lived `run_enrich_supervisor` loop in the enrichment LaunchAgent\n> - Adds `run_enrich_supervisor` to [enrichment_controller.py](https://github.com/EtanHey/brainlayer/pull/306/files#diff-026585aba924166a0b476c6d49978052feec275fe24d58eb945516c2627eeebb): a persistent loop that reuses a single `VectorStore`, sleeps when the queue is idle, continues on per-cycle errors, and returns an `EnrichmentSupervisorResult` with aggregated stats.\n> - Adds `--supervisor` flag to the `enrich` CLI command; when used with `--mode realtime`, the CLI runs the supervisor loop, installs SIGTERM/SIGINT handlers for graceful shutdown, and exits with the supervisor's exit code.\n> - Updates the [LaunchAgent plist](https://github.com/EtanHey/brainlayer/pull/306/files#diff-0aae57a309147ea4d1c82c7d669b582cfe5dfa28918361636f35341ce9c936b5) to invoke `__BRAINLAYER_BIN__ enrich --mode realtime --supervisor` directly, delegating restart-on-crash to launchd instead of a `while true` shell loop.\n> - Idle poll interval is tunable via `BRAINLAYER_ENRICH_IDLE_POLL_SECONDS` environment variable, defaulting to 30 seconds.\n> - Behavioral Change: the enrichment process is now a single long-running binary managed by launchd rather than a zsh subprocess; crashes surface to launchd immediately rather than being silently restarted by the shell loop.\n>\n> \n>\n>

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📊 Macroscope summarized 7a89948. 3 files reviewed, 1 issue evaluated, 0 issues filtered, 1 comment posted

\n>\n> ### 🗂️ Filtered Issues\n>\n>

\n>\n\n\n\n\n\n## Summary by CodeRabbit\n\n## Release Notes\n\n* **New Features**\n * Added supervisor mode for continuous realtime enrichment as a long-lived background service\n * Configurable processing limits and historical lookback windows for supervised enrichment cycles\n * Graceful signal handling (SIGTERM/SIGINT) for clean shutdown during active operations\n * Aggregated error tracking and result reporting across enrichment cycles\n\n\n\n[![Review Change 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