[93m[1m! [0m agent "general" is a subagent, not a primary agent. Falling back to default agent
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false,\n          \"weightHistoryChanged\": false\n        },\n        \"content\": \"---\\ntitle: \\\"Tasks: Hybrid Search Pipeline [system-spec-kit/023-hybrid-rag-fusion-refinement/007-hybrid-search-null-db-fix/tasks]\\\"\\ndescription: \\\"Task breakdown for diagnosing and fixing the 0-result search pipeline bug caused by scope enforcement and TRM state filtering.\\\"\\ntrigger_phrases:\\n  - \\\"hybrid search fix tasks\\\"\\n  - \\\"search pipeline repair tasks\\\"\\n  - \\\"scope enforcement fix\\\"\\n  - \\\"trm state filter fix\\\"\\nimportance_tier: \\\"critical\\\"\\ncontextType: \\\"implementation\\\"\\n_memory:\\n  continuity:\\n    packet_pointer: \\\"system-spec-kit/023-hybrid-rag-fusion-refinement/007-hybrid-search-null-db-fix\\\"\\n    last_updated_at: \\\"2026-04-24T14:55:00Z\\\"\\n    last_updated_by: \\\"copilot-gpt-5-4\\\"\\n    recent_action: \\\"Backfilled memory block\\\"\\n    next_safe_action: \\\"Revalidate packet docs\\\"\\n    key_files: [\\\"tasks.md\\\"]\\ntemplate_source_hint: \\\"<!-- SPECKIT_TEMPLATE_SOURCE: tasks-core | v2.2 -->\\\"\\n---\\n<!-- SPECKIT_LEVEL: 2 -->\\n<!-- SPECKIT_TEMPLATE_SOURCE: tasks-core | v2.2 -->\\n\\n# Tasks: Hybrid Search Pipeline Null DB Fix\\n\\n---\\n\\n<!-- ANCHOR:notation -->\\n## Task Notation\\n\\n| Prefix | Meaning |\\n|--------|---------|\\n| `[ ]` | Pending |\\n| `[x]` | Completed |\\n| `[P]` | Parallelizable |\\n| `[B]` | Blocked |\\n\\n**Task Format**: `T### [P?] Description (file path)`\\n<!-- /ANCHOR:notation -->\\n\\n---\\n\\n<!-- ANCHOR:phase-1 -->\\n## Phase 1: Setup\\n\\n- [x] T001 Verify data exists in FTS5, vec_memories, active_memory_projection (direct SQL)\\n- [x] T002 Check embedding_status distribution (996 success, 1 failed, 2 partial)\\n- [x] T003 Confirm sqlite-vec extension loaded (lsof on running process)\\n- [x] T004 Verify WAL checkpoint status (126/126 frames)\\n- [x] T005 Add diagnostic logging to hybrid-search.js (MODULE_ID, db, vectorSearchFn)\\n- [x] T006 Test fresh server startup — init() called correctly with same MODULE_ID\\n- [x] T007 Test direct module search — searchWithFallback returns 5+5 results\\n- [x] T008 Test V2 pipeline (executePipeline) — returns 0 despite 5+5 channel results\\n- [x] T009 Add per-filter diagnostics to stage1-candidate-gen.js\\n- [x] T010 Identify Bug 1: scope enforcement filters all (shouldApplyScope=true, 5→0)\\n- [x] T011 Identify Bug 2: TRM state filter removes all (minState='WARM', state=UNKNOWN)\\n<!-- /ANCHOR:phase-1 -->\\n\\n---\\n\\n<!-- ANCHOR:phase-2 -->\\n## Phase 2: Implementation\\n\\n- [x] T012 Fix scope-governance.ts — change isScopeEnforcementEnabled() to opt-in\\n- [x] T013 Fix scope-governance.js (dist) — same change\\n- [x] T014 Fix memory-search.ts — remove minState='WARM' default\\n- [x] T015 Fix memory-search.js (dist) — same change\\n- [x] T016 Fix memory-context.ts — remove minState='WARM' hardcode (2 occurrences)\\n- [x] T017 Fix memory-context.js (dist) — same change\\n<!-- /ANCHOR:phase-2 -->\\n\\n---\\n\\n<!-- ANCHOR:phase-3 -->\\n## Phase 3: Verification\\n\\n- [x] T018 Verify \\\"semantic search\\\" returns results (4 results, including #893 CocoIndex)\\n- [x] T019 Verify \\\"SpecKit Phase System\\\" returns results (5 results, including #325)\\n- [x] T020 Verify \\\"compact code graph\\\" returns results (5 results, including #45)\\n- [x] T021 Remove all diagnostic console.error statements from hybrid-search.js\\n- [x] T022 Remove all diagnostic console.error statements from stage1-candidate-gen.js\\n- [x] T023 Kill MCP server processes to apply fixes\\n<!-- /ANCHOR:phase-3 -->\\n\\n---\\n\\n### Phase 4: Search Engine Optimization\\n\\n> Source: 10-iteration deep research on live search pipeline post-fix. All tasks target `.opencode/skills/system-spec-kit/mcp_server/lib/` unless noted.\\n\\n- [x] T024 [P] RRF k-value 60 → 40 (`shared/algorithms/rrf-fusion.ts`)\\n- [x] T025 [P] Token budget raised: L1 2000→3500, L2 2500→3500, focused 1500→3000, deep 2000→3500, resume 1200→2000\\n- [x] T026 [P] Deprecated tier filter added to FTS5 (`search/sqlite-fts.ts`)\\n- [x] T027 [P] R12 expansion gate ≤3→≤2 tokens (`search/embedding-expansion.ts`)\\n- [x] T028 [P] rerankProvider metadata in Stage 3 (`search/pipeline/stage3-rerank.ts`)\\n- [x] T029 [P] Compound-term FTS5 phrase expansion (`search/bm25-index.ts`)\\n- [x] T030 [P] related_memories scalar+object format + similarity scale fix 0.5→50 (`search/co-activation.ts`)\\n- [x] T031 [P] computeBackfillQualityScore() + wired into Stage 1 read path (`validation/save-quality-gate.ts`, `pipeline/stage1-candidate-gen.ts`)\\n- [x] T032 [P] Chunk children parent_id propagation (`handlers/chunking-orchestrator.ts`)\\n- [x] T033 [P] Embedding cache hit/miss counters + getCacheStats() (`cache/embedding-cache.ts`)\\n\\n---\\n\\n### Phase 5: Ultra-Think Review P1 Fixes\\n\\n> Source: GPT-5.4 ultra-think review found 4 P1 issues in the Phase 4 changes.\\n\\n- [x] T034 Remove minState:'WARM' from shadow-evaluation-runtime (`feedback/shadow-evaluation-runtime.ts`)\\n- [x] T035 Update tool-input-schema tests for simplified schemas (`tests/tool-input-schema.vitest.ts`)\\n- [x] T036 Fix scalar related_memories similarity scale 0.5→50 (`cognitive/co-activation.ts`)\\n- [x] T037 Wire computeBackfillQualityScore into Stage 1 candidate pipeline (`pipeline/stage1-candidate-gen.ts`)\\n\\n---\\n\\n<!-- ANCHOR:completion -->\\n## Completion Criteria\\n\\n- [x] All tasks T001-T037 marked `[x]`\\n- [x] Hybrid search returns non-zero results for known matching queries\\n- [x] Search optimization follow-on items are implemented and verified\\n- [x] Phase handoff to `008-spec-memory-compliance-audit` complete\\n<!-- /ANCHOR:completion -->\\n\\n---\\n\\n<!-- ANCHOR:cross-refs -->\\n## Cross-References\\n\\n- **Specification**: See `spec.md`\\n- **Plan**: See `plan.md`\\n- **Implementation Summary**: See `implementation-summary.md`\\n- **Parent Spec**: See `../spec.md`\\n<!-- /ANCHOR:cross-refs -->\\n\",\n        \"confidence\": {\n          \"label\": \"medium\",\n          \"value\": 0.45,\n          \"drivers\": [\n            \"multi_channel_agreement\"\n          ]\n        },\n        \"why\": {\n          \"summary\": \"Ranked first because semantic similarity\",\n          \"topSignals\": [\n            \"semantic_match\"\n          ]\n        }\n      }\n    ],\n    \"summary\": \"> **[EVIDENCE GAP DETECTED]: Retrieved context has low mathematical confidence (Z=1.26). Consider first principles.**\\n\\nFound 5 memories\",\n    \"hints\": [],\n    \"meta\": {\n      \"tool\": \"memory_search\",\n      \"tokenCount\": 16337,\n      \"latencyMs\": 911,\n      \"cacheHit\": false\n    },\n    \"tokenStats\": {\n      \"totalTokens\": 13515,\n      \"resultCount\": 5,\n      \"avgTokensPerResult\": 2703\n    }\n  },\n  \"hints\": [\n    \"[code-graph] Symbols near mentioned files: function:getLastLexicalCapabilitySnapshot, function:isBm25RuntimeFailure, function:isFts5Available, function:identityResult, function:isExpansionActive, import:classifyQueryComplexity, class:BM25Index, function:buildBm25DocumentText, function:getIndex\",\n    \"Auto-surface hook: injected 2 constitutional and 5 triggered memories (81ms)\",\n    \"Token budget enforced: truncated 5 → 1 results to fit 3500 token budget\"\n  ],\n  \"meta\": {\n    \"tool\": \"memory_quick_search\",\n    \"tokenCount\": 5206,\n    \"latencyMs\": 911,\n    \"cacheHit\": false,\n    \"responseProfile\": \"debug\",\n    \"autoSurface\": {\n      \"constitutionalCount\": 2,\n      \"triggeredCount\": 5,\n      \"surfaced_at\": \"2026-04-27T15:09:13.877Z\",\n      \"latencyMs\": 81\n    },\n    \"autoSurfacedContext\": {\n      \"constitutional\": [\n        {\n          \"id\": 2574,\n          \"specFolder\": \"system-spec-kit\",\n          \"filePath\": \"/Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.opencode/skills/system-spec-kit/constitutional/gate-tool-routing.md\",\n          \"title\": \"TOOL ROUTING - Search & Retrieval Decision Tree\",\n          \"importanceTier\": \"constitutional\",\n          \"retrieval_directive\": \"Always surface when: TOOL ROUTING - Search & Retrieval Decision Tree | Prioritize when: task context aligns with \\\"TOOL ROUTING - Search & Retrieval Decision Tree\\\"\"\n        },\n        {\n          \"id\": 415,\n          \"specFolder\": \"system-spec-kit\",\n          \"filePath\": \"/Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.opencode/skills/system-spec-kit/constitutional/gate-enforcement.md\",\n          \"title\": \"GATE ENFORCEMENT - Edge Cases & Cross-Reference\",\n          \"importanceTier\": \"constitutional\",\n          \"retrieval_directive\": \"Always surface when: GATE ENFORCEMENT - Edge Cases & Cross-Reference | Prioritize when: task context aligns with \\\"GATE ENFORCEMENT - Edge Cases & Cross-Reference\\\"\"\n        }\n      ],\n      \"triggered\": [\n        {\n          \"memory_id\": 1912,\n          \"spec_folder\": \"system-spec-kit/023-hybrid-rag-fusion-refinement/007-hybrid-search-null-db-fix\",\n          \"title\": \"Research: Memory Search [system-spec-kit/023-hybrid-rag-fusion-refinement/007-hybrid-search-null-db-fix/research]\",\n          \"matched_phrases\": [\n            \"search\",\n            \"hybrid\"\n          ]\n        },\n        {\n          \"memory_id\": 2229,\n          \"spec_folder\": \"system-spec-kit/024-compact-code-graph\",\n          \"title\": \"Spec: Hybrid Context Injection — Hook + Tool Architecture [system-spec-kit/024-compact-code-graph/spec]\",\n          \"matched_phrases\": [\n            \"hybrid\"\n          ]\n        },\n        {\n          \"memory_id\": 2222,\n          \"spec_folder\": \"system-spec-kit/024-compact-code-graph\",\n          \"title\": \"Decision Record: Hybrid Context Injection [system-spec-kit/024-compact-code-graph/decision-record]\",\n          \"matched_phrases\": [\n            \"hybrid\"\n          ]\n        },\n        {\n          \"memory_id\": 1518,\n          \"spec_folder\": \"system-spec-kit/022-hybrid-rag-fusion/009-perfect-session-capturing/000-dynamic-capture-deprecation/001-session-source-validation\",\n          \"title\": \"...2-hybrid-rag-fusion/009-perfect-session-capturing/000-dynamic-capture-deprecation/001-session-source-validation/spec]\",\n          \"matched_phrases\": [\n            \"hybrid\"\n          ]\n        },\n        {\n          \"memory_id\": 915,\n          \"spec_folder\": \"00--anobel.com/031-fix-download-btn-transition-glitch\",\n          \"title\": \"Feature Specification: Fix Download Button Transition [00--anobel.com/031-fix-download-btn-transition-glitch/spec]\",\n          \"matched_phrases\": [\n            \"fix\"\n          ]\n        }\n      ],\n      \"surfaced_at\": \"2026-04-27T15:09:13.877Z\",\n      \"latencyMs\": 81\n    },\n    \"tokenBudget\": 3500,\n    \"tokenBudgetTruncated\": true,\n    \"originalResultCount\": 5,\n    \"returnedResultCount\": 1\n  }\n}","metadata":{"truncated":false},"title":"","time":{"start":1777302553790,"end":1777302554823},"attachments":[]}}}
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{"type":"tool_use","timestamp":1777302556785,"sessionID":"ses_23083fd6affewEQsIss5qmY5xw","part":{"id":"prt_dcf7ccbfd001i4C4AVJjP6IIGt","messageID":"msg_dcf7c6d07001C5uG8g2eXOYhNJ","sessionID":"ses_23083fd6affewEQsIss5qmY5xw","type":"tool","tool":"spec_kit_memory_memory_list","callID":"call_02_TzcV2i3T2psCKpAiVHtzPTHX","state":{"status":"completed","input":{"specFolder":"system-spec-kit/022-hybrid-rag-fusion","limit":20},"output":"{\n  \"summary\": \"Listed 5 of 5 memories\",\n  \"data\": {\n    \"total\": 5,\n    \"offset\": 0,\n    \"limit\": 20,\n    \"sortBy\": \"created_at\",\n    \"includeChunks\": false,\n    \"count\": 1,\n    \"results\": [\n      {\n        \"id\": 1883,\n        \"specFolder\": \"system-spec-kit/022-hybrid-rag-fusion\",\n        \"title\": \"Tasks: Hybrid RAG Fusion [system-spec-kit/022-hybrid-rag-fusion/tasks]\",\n        \"createdAt\": \"2026-04-26T14:29:01.085Z\",\n        \"updatedAt\": \"2026-04-26T14:29:01.085Z\",\n        \"importanceWeight\": 0.6,\n        \"triggerCount\": 2,\n        \"filePath\": \"/Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.opencode/specs/system-spec-kit/022-hybrid-rag-fusion/tasks.md\"\n      }\n    ]\n  },\n  \"hints\": [\n    \"[session] Context quality is degraded. Session may benefit from a `session_resume` call.\",\n    \"Auto-surface hook: injected 2 constitutional and 5 triggered memories (44ms)\",\n    \"Token budget enforced: truncated 5 → 1 results to fit 1000 token budget\"\n  ],\n  \"meta\": {\n    \"tool\": \"memory_list\",\n    \"tokenCount\": 1261,\n    \"latencyMs\": 1,\n    \"cacheHit\": false,\n    \"autoSurface\": {\n      \"constitutionalCount\": 2,\n      \"triggeredCount\": 5,\n      \"surfaced_at\": \"2026-04-27T15:09:16.781Z\",\n      \"latencyMs\": 44\n    },\n    \"autoSurfacedContext\": {\n      \"constitutional\": [\n        {\n          \"id\": 2574,\n          \"specFolder\": \"system-spec-kit\",\n          \"filePath\": \"/Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.opencode/skills/system-spec-kit/constitutional/gate-tool-routing.md\",\n          \"title\": \"TOOL ROUTING - Search & Retrieval Decision Tree\",\n          \"importanceTier\": \"constitutional\",\n          \"retrieval_directive\": \"Always surface when: TOOL ROUTING - Search & Retrieval Decision Tree | Prioritize when: task context aligns with \\\"TOOL ROUTING - Search & Retrieval Decision Tree\\\"\"\n        },\n        {\n          \"id\": 415,\n          \"specFolder\": \"system-spec-kit\",\n          \"filePath\": \"/Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.opencode/skills/system-spec-kit/constitutional/gate-enforcement.md\",\n          \"title\": \"GATE ENFORCEMENT - Edge Cases & Cross-Reference\",\n          \"importanceTier\": \"constitutional\",\n          \"retrieval_directive\": \"Always surface when: GATE ENFORCEMENT - Edge Cases & Cross-Reference | Prioritize when: task context aligns with \\\"GATE ENFORCEMENT - Edge Cases & Cross-Reference\\\"\"\n        }\n      ],\n      \"triggered\": [\n        {\n          \"memory_id\": 1461,\n          \"spec_folder\": \"system-spec-kit/022-hybrid-rag-fusion/007-code-audit-per-feature-catalog/022-implement-and-remove-deprecated-features\",\n          \"title\": \"...-spec-kit/022-hybrid-rag-fusion/007-code-audit-per-feature-catalog/022-implement-and-remove-deprecated-features/plan]\",\n          \"matched_phrases\": [\n            \"spec\",\n            \"kit\",\n            \"022\",\n            \"hybrid\",\n            \"rag\"\n          ]\n        },\n        {\n          \"memory_id\": 1465,\n          \"spec_folder\": \"system-spec-kit/022-hybrid-rag-fusion/007-code-audit-per-feature-catalog/022-implement-and-remove-deprecated-features\",\n          \"title\": \"...spec-kit/022-hybrid-rag-fusion/007-code-audit-per-feature-catalog/022-implement-and-remove-deprecated-features/tasks]\",\n          \"matched_phrases\": [\n            \"spec\",\n            \"kit\",\n            \"022\",\n            \"hybrid\",\n            \"rag\"\n          ]\n        },\n        {\n          \"memory_id\": 1458,\n          \"spec_folder\": \"system-spec-kit/022-hybrid-rag-fusion/007-code-audit-per-feature-catalog/022-implement-and-remove-deprecated-features\",\n          \"title\": \"...-kit/022-hybrid-rag-fusion/007-code-audit-per-feature-catalog/022-implement-and-remove-deprecated-features/checklist]\",\n          \"matched_phrases\": [\n            \"kit\",\n            \"022\",\n            \"hybrid\",\n            \"rag\",\n            \"fusion\"\n          ]\n        },\n        {\n          \"memory_id\": 1518,\n          \"spec_folder\": \"system-spec-kit/022-hybrid-rag-fusion/009-perfect-session-capturing/000-dynamic-capture-deprecation/001-session-source-validation\",\n          \"title\": \"...2-hybrid-rag-fusion/009-perfect-session-capturing/000-dynamic-capture-deprecation/001-session-source-validation/spec]\",\n          \"matched_phrases\": [\n            \"hybrid\",\n            \"rag\",\n            \"fusion\",\n            \"spec\"\n          ]\n        },\n        {\n          \"memory_id\": 497,\n          \"spec_folder\": \"system-spec-kit/022-hybrid-rag-fusion/001-hybrid-rag-fusion-epic/011-research-based-refinement/005-retrieval-ux-presentation\",\n          \"title\": \"...it/022-hybrid-rag-fusion/001-hybrid-rag-fusion-epic/011-research-based-refinement/005-retrieval-ux-presentation/plan]\",\n          \"matched_phrases\": [\n            \"022\",\n            \"hybrid\",\n            \"rag\",\n            \"fusion\"\n          ]\n        }\n      ],\n      \"surfaced_at\": \"2026-04-27T15:09:16.781Z\",\n      \"latencyMs\": 44\n    },\n    \"tokenBudget\": 1000,\n    \"tokenBudgetTruncated\": true,\n    \"originalResultCount\": 5,\n    \"returnedResultCount\": 1\n  }\n}","metadata":{"truncated":false},"title":"","time":{"start":1777302556735,"end":1777302556784},"attachments":[]}}}
{"type":"text","timestamp":1777302557008,"sessionID":"ses_23083fd6affewEQsIss5qmY5xw","part":{"id":"prt_dcf7ca8e3001Jb7vq632GB0xMP","messageID":"msg_dcf7c6d07001C5uG8g2eXOYhNJ","sessionID":"ses_23083fd6affewEQsIss5qmY5xw","type":"text","text":"**Observation from the nonexistent-phrase search:**\n\nThe runtime handled it correctly. `requestQuality.label` returned `\"gap\"` (your predicted \"weak\" — equivalent semantics), `recovery.status` = `\"low_confidence\"`, `citationPolicy` = `\"do_not_cite_results\"`, and `responsePolicy.requiredAction` = `\"broaden_or_ask\"`. Note: `suggestedQueries` wasn't quite empty — it returned `[\"the {nonexistent-marker-2026-04-27-v1.0.2} debugging\"]`, which is a mild divergence from expectation.\n\nNow, for the actual task — let me find what \"the search bug\" refers to. The two immediate leads from the triggered context are:\n- `022-hybrid-rag-fusion` (hybrid retrieval)\n- `023-hybrid-rag-fusion-refinement/007-hybrid-search-null-db-fix` (a null-db fix)\n\nLet me get a sharper view of those spec folders and the relevant code.","time":{"start":1777302557007,"end":1777302557007}}}
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{"type":"tool_use","timestamp":1777302574647,"sessionID":"ses_23083fd6affewEQsIss5qmY5xw","part":{"id":"prt_dcf7d12830013gsBmmDYe7OhUF","messageID":"msg_dcf7cd31e001HcAzy71Buhy4TG","sessionID":"ses_23083fd6affewEQsIss5qmY5xw","type":"tool","tool":"glob","callID":"call_01_QyDwIApgj21aX3Vp5N5QVbEU","state":{"status":"completed","input":{"pattern":".opencode/skills/system-spec-kit/mcp_server/lib/pipeline/**/*.{ts,js}"},"output":"No files found","metadata":{"count":0,"truncated":false},"title":"","time":{"start":1777302574616,"end":1777302574646}}}}
{"type":"text","timestamp":1777302574888,"sessionID":"ses_23083fd6affewEQsIss5qmY5xw","part":{"id":"prt_dcf7d02d90014HFsQLBUEg8KYa","messageID":"msg_dcf7cd31e001HcAzy71Buhy4TG","sessionID":"ses_23083fd6affewEQsIss5qmY5xw","type":"text","text":"Good — the search pipeline surfaces one clear candidate: **`specs/system-spec-kit/023-hybrid-rag-fusion-refinement/007-hybrid-search-null-db-fix/`** — this is the spec that documents the exact 0-result bug (scope enforcement + TRM state filter removing all results). All tasks there are marked complete, but let me check if there's a current/ongoing issue. Let me read the source files to see current state.","time":{"start":1777302574887,"end":1777302574887}}}
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{"type":"tool_use","timestamp":1777302584146,"sessionID":"ses_23083fd6affewEQsIss5qmY5xw","part":{"id":"prt_dcf7d33b8001Zie13j1ejjehfW","messageID":"msg_dcf7d18cb001MBjbKJvkl5pZ0A","sessionID":"ses_23083fd6affewEQsIss5qmY5xw","type":"tool","tool":"read","callID":"call_00_w3JNvF02iYuB9E87TtgRNU30","state":{"status":"completed","input":{"filePath":"/Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.opencode/specs/system-spec-kit/023-hybrid-rag-fusion-refinement/007-hybrid-search-null-db-fix/spec.md"},"output":"<path>/Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.opencode/specs/system-spec-kit/023-hybrid-rag-fusion-refinement/007-hybrid-search-null-db-fix/spec.md</path>\n<type>file</type>\n<content>\n1: ---\n2: title: \"Feature Specification: Hybrid [system-spec-kit/023-hybrid-rag-fusion-refinement/007-hybrid-search-null-db-fix/spec]\"\n3: description: \"The hybrid search pipeline returns 0 results for all queries because search-time filters eliminate every candidate after ESM migration follow-on changes.\"\n4: trigger_phrases: [\"hybrid search null db\", \"search returns 0 results\", \"memory search broken\", \"ftssearch db null\", \"vector search null reference\", \"esm module duplication search\"]\n5: importance_tier: \"critical\"\n6: contextType: \"implementation\"\n7: _memory:\n8:   continuity:\n9:     packet_pointer: \"system-spec-kit/023-hybrid-rag-fusion-refinement/007-hybrid-search-null-db-fix\"\n10:     last_updated_at: \"2026-04-24T14:55:00Z\"\n11:     last_updated_by: \"copilot-gpt-5-4\"\n12:     recent_action: \"Backfilled memory block\"\n13:     next_safe_action: \"Revalidate packet docs\"\n14:     key_files: [\"spec.md\"]\n15: template_source_hint: \"<!-- SPECKIT_TEMPLATE_SOURCE: spec-core + level2-verify | v2.2 -->\"\n16: ---\n17: <!-- SPECKIT_LEVEL: 2 -->\n18: <!-- SPECKIT_TEMPLATE_SOURCE: spec-core + level2-verify | v2.2 -->\n19: \n20: # Feature Specification: Hybrid Search Pipeline Null DB Fix\n21: \n22: ---\n23: \n24: <!-- ANCHOR:phase-context -->\n25: ### Phase Context\n26: \n27: | **Parent Spec** | ../spec.md |\n28: | **Parent Plan** | ../plan.md |\n29: | **Phase** | 7 of 8 |\n30: | **Predecessor** | 006-review-remediation |\n31: | **Successor** | 008-spec-memory-compliance-audit |\n32: | **Handoff Criteria** | `memory_search` returns results for known matching queries and the search optimization follow-on tasks are captured with verification evidence |\n33: \n34: This is **Phase 7** of the ESM Module Compliance specification. It restores hybrid search correctness first, then records the follow-on search quality improvements applied after the initial fix.\n35: <!-- /ANCHOR:phase-context -->\n36: \n37: ---\n38: \n39: <!-- ANCHOR:metadata -->\n40: ## 1. METADATA\n41: \n42: | Field | Value |\n43: |-------|-------|\n44: | **Level** | 2 |\n45: | **Priority** | P0 |\n46: | **Status** | Complete |\n47: | **Created** | 2026-03-30 |\n48: | **Branch** | `main` (phase of 023-hybrid-rag-fusion-refinement) |\n49: <!-- /ANCHOR:metadata -->\n50: \n51: ---\n52: \n53: <!-- ANCHOR:problem -->\n54: ## 2. PROBLEM & PURPOSE\n55: \n56: ### Problem Statement\n57: The Spec Kit Memory MCP server's hybrid search pipeline returns **0 results for ALL queries**. The `memory_search` tool, `memory_context` tool, and all search-dependent operations produce empty results regardless of query content. The trigger system (phrase matching) and `memory_list` work correctly, confirming the database contains valid data (999 memories, 996 with embeddings, 999 in FTS5).\n58: \n59: **Phase 1 root cause (resolved):** Two bugs caused the 0-result failure — scope enforcement (opt-out instead of opt-in) and TRM state filter (minState='WARM' excluded all UNKNOWN-state memories).\n60: \n61: **Phase 2 expanded scope (10 optimization areas from deep research):** Following 10 iterations of deep research after the null-DB fix, analysis of the live search pipeline revealed 10 additional correctness and performance gaps:\n62: \n63: 1. **RRF K-value mis-tuned** — k=60 (tuned for 10k+ document corpora) inflates scores for a 999-memory DB; k=40 better separates signal from noise\n64: 2. **Token budget under-provisioned** — 1500-token limit truncates long memories; 2500 tokens matches p95 memory length\n65: 3. **Deprecated tier filter asymmetry** — sqlite-fts.ts and bm25-index.ts filter `status != 'deprecated'` via different clauses, creating inconsistent recall\n66: 4. **R12 expansion gate too strict** — embedding-expansion.ts requires R12 relevance score ≥ 0.82 before expanding candidates, blocking useful expansions\n67: 5. **Cross-encoder metadata split + MMR skip** — stage3-rerank.ts applies cross-encoder to title+body concatenation; should split scoring; MMR diversity pass skipped when reranker is unavailable\n68: 6. **Compound-term FTS5 expansion missing** — multi-word queries (e.g. \"spec kit\") not expanded to FTS5 phrase variants in bm25-index.ts\n69: 7. **related_memories format mismatch + Stage 2 injection gap** — co-activation.ts returns IDs in wrong format; stage2-fusion.ts never injects co-activated memories into fusion candidates\n70: 8. **Quality score backfill gap** — 520 memories have quality_score=0.0 (never scored); save-quality-gate.ts does not backfill on read\n71: 9. **Lineage gap for chunk children** — chunking-orchestrator.ts does not write parent_id for chunk children, breaking lineage traversal\n72: 10. **Per-stage timing not persisted + cache counters absent** — hybrid-search.ts logs stage durations to console only; embedding-cache.ts has no hit/miss counters\n73: \n74: ### Purpose\n75: Restore hybrid search functionality so that `memory_search` and `memory_context` return relevant results from the 999-memory database, enabling context retrieval across all workflows. Then apply 10 targeted optimizations to improve recall quality, result diversity, and operational observability.\n76: <!-- /ANCHOR:problem -->\n77: \n78: ---\n79: \n80: <!-- ANCHOR:scope -->\n81: ## 3. SCOPE\n82: \n83: ### In Scope\n84: \n85: **Original scope (complete):**\n86: - Diagnose why `db` and/or `vectorSearchFn` are null in hybrid-search.js at search time\n87: - Confirm or rule out ESM module duplication as root cause\n88: - Fix the null reference issue (scope enforcement opt-in + TRM state filter removal)\n89: - Verify search returns results after fix\n90: \n91: **Expanded scope — 10 optimization areas (Phase 4):**\n92: 1. RRF K-value adjustment: k=60 → k=40 in `shared/algorithms/rrf-fusion.ts`\n93: 2. Token budget increase: 1500 → 2500 tokens in `handlers/memory-search.ts` and `architecture/layer-definitions.ts`\n94: 3. Deprecated tier filter symmetry fix in `sqlite-fts.ts` and `bm25-index.ts`\n95: 4. R12 expansion gate relaxation (threshold 0.82 → 0.72) in `embedding-expansion.ts` and `stage1-candidate-gen.ts`\n96: 5. Cross-encoder metadata split + MMR diversity pass in `stage3-rerank.ts`\n97: 6. Compound-term FTS5 phrase expansion in `bm25-index.ts`\n98: 7. related_memories format fix + Stage 2 co-activation injection in `stage2-fusion.ts` and `co-activation.ts`\n99: 8. Quality score backfill for 520 zero-score memories in `save-quality-gate.ts`\n100: 9. Lineage gap fix for chunk children in `chunking-orchestrator.ts`\n101: 10. Per-stage timing persistence + cache hit/miss counters in `hybrid-search.ts` and `embedding-cache.ts`\n102: \n103: ### Out of Scope\n104: - Embedding provider changes — Voyage AI working correctly\n105: - Database schema changes — schema is correct\n106: - FTS5 index rebuild — index is populated and valid\n107: - Trigger system changes — working correctly\n108: - Search algorithm wholesale replacement\n109: \n110: ### Files to Change\n111: \n112: | File Path | Change Type | Description |\n113: |-----------|-------------|-------------|\n114: | `mcp_server/dist/lib/search/hybrid-search.js` | Modify (complete) | Diagnostic logging; null db/vectorSearchFn fix |\n115: | `mcp_server/dist/core/db-state.js` | Modify (complete) | Rebind fix |\n116: | `mcp_server/lib/search/hybrid-search.ts` | Modify (complete) | TS source sync; Phase 4: per-stage timing persistence |\n117: | `mcp_server/lib/search/pipeline/stage1-candidate-gen.ts` | Modify (Phase 4) | Scope enforcement + R12 gate relaxation |\n118: | `mcp_server/lib/search/pipeline/stage2-fusion.ts` | Modify (Phase 4) | Co-activation injection |\n119: | `mcp_server/lib/search/pipeline/stage3-rerank.ts` | Modify (Phase 4) | Cross-encoder metadata split + MMR diversity pass |\n120: | `mcp_server/lib/search/sqlite-fts.ts` | Modify (Phase 4) | Deprecated tier filter symmetry |\n121: | `mcp_server/lib/search/bm25-index.ts` | Modify (Phase 4) | Deprecated tier filter + compound-term FTS5 expansion |\n122: | `mcp_server/lib/search/embedding-expansion.ts` | Modify (Phase 4) | R12 expansion gate threshold |\n123: | `mcp_server/lib/search/embedding-cache.ts` | Modify (Phase 4) | Hit/miss counters |\n124: | `mcp_server/lib/search/co-activation.ts` | Modify (Phase 4) | related_memories format fix |\n125: | `mcp_server/lib/search/chunking-orchestrator.ts` | Modify (Phase 4) | Lineage parent_id for chunk children |\n126: | `mcp_server/lib/quality/save-quality-gate.ts` | Modify (Phase 4) | Quality score backfill for zero-score memories |\n127: | `mcp_server/lib/shared/algorithms/rrf-fusion.ts` | Modify (Phase 4) | RRF k-value 60 → 40 |\n128: | `mcp_server/lib/handlers/memory-search.ts` | Modify (Phase 4) | Token budget 1500 → 2500 |\n129: | `mcp_server/lib/architecture/layer-definitions.ts` | Modify (Phase 4) | Token budget constant update |\n130: \n131: All paths relative to `.opencode/skills/system-spec-kit/`.\n132: <!-- /ANCHOR:scope -->\n133: \n134: ---\n135: \n136: <!-- ANCHOR:requirements -->\n137: ## 4. REQUIREMENTS\n138: \n139: ### P0 - Blockers (MUST complete)\n140: \n141: | ID | Requirement | Acceptance Criteria |\n142: |----|-------------|---------------------|\n143: | REQ-001 | Confirm root cause of null db/vectorSearchFn | Diagnostic logging shows module state at search time |\n144: | REQ-002 | Fix hybrid search to access valid database connection | `memory_search(\"semantic search\")` returns >0 results |\n145: | REQ-003 | Both vector AND FTS5 channels produce candidates | Stage 1 trace shows candidateCount > 0 |\n146: \n147: ### P1 - Required (complete OR user-approved deferral)\n148: \n149: | ID | Requirement | Acceptance Criteria |\n150: |----|-------------|---------------------|\n151: | REQ-004 | Fix applied to TS source (not just dist) | Source and compiled output are in sync |\n152: | REQ-005 | Remove diagnostic logging after fix confirmed | No debug console.error statements in production |\n153: \n154: ### P1 - Phase 4 Optimization Requirements\n155: \n156: | ID | Requirement | Acceptance Criteria |\n157: |----|-------------|---------------------|\n158: | REQ-006 | RRF k-value tuned for corpus size | `rrf-fusion.ts` uses k=40; score distribution improves for 999-memory DB |\n159: | REQ-007 | Token budget supports long memories | `memory-search.ts` and `layer-definitions.ts` use 2500-token limit; no truncation at p95 |\n160: | REQ-008 | Deprecated tier filter consistent across channels | `sqlite-fts.ts` and `bm25-index.ts` use identical exclusion clause |\n161: | REQ-009 | R12 expansion gate permits more candidates | `embedding-expansion.ts` threshold ≤ 0.72; expansion activates for borderline relevance |\n162: | REQ-010 | Cross-encoder scores title and body independently | `stage3-rerank.ts` splits metadata before scoring; MMR diversity applied when reranker absent |\n163: | REQ-011 | Multi-word queries expanded to FTS5 phrase variants | `bm25-index.ts` generates phrase+token variants for compound terms |\n164: | REQ-012 | Co-activated memories enter fusion candidates | `co-activation.ts` returns correct ID format; `stage2-fusion.ts` injects co-activated set |\n165: | REQ-013 | Zero-score memories receive quality scores on read | `save-quality-gate.ts` backfills quality_score for 520 un-scored memories |\n166: | REQ-014 | Chunk children record parent_id | `chunking-orchestrator.ts` writes parent_id on chunk creation |\n167: | REQ-015 | Stage timing and cache metrics observable | `hybrid-search.ts` persists per-stage durations; `embedding-cache.ts` tracks hit/miss counts |\n168: <!-- /ANCHOR:requirements -->\n169: \n170: ---\n171: \n172: ### Investigation Findings\n173: \n174: ### Evidence Summary\n175: \n176: | Check | Result | Implication |\n177: |-------|--------|-------------|\n178: | memory_index count | 999 | Data exists |\n179: | embedding_status = success | 996 | Embeddings generated |\n180: | FTS5 (memory_fts) count | 999 | Full-text index populated |\n181: | active_memory_projection count | 992 | Projection table populated |\n182: | sqlite-vec loaded (lsof) | vec0.dylib loaded | Vector extension available |\n183: | WAL checkpoint | 126/126 frames | Data committed |\n184: | Direct FTS5 SQL | Returns 10+ results for \"semantic\" OR \"search\" | Data IS queryable |\n185: | memory_search(\"CocoIndex\") | 0 results | Pipeline broken |\n186: | memory_search(\"SpecKit Phase System\") | 0 results | ALL queries fail |\n187: | memory_search(\"vector embeddings\") | 0 results | Even expanded queries fail |\n188: | memory_match_triggers(\"CocoIndex\") | Finds memory #893 | Trigger path works |\n189: | memory_list(specFolder: \"022-mcp-coco\") | Returns 6 memories | List path works |\n190: | memory_health | \"healthy\", vectorSearchAvailable: true | Health check misleading |\n191: \n192: ### Pipeline Trace Analysis\n193: \n194: All queries show identical failure pattern:\n195: - Stage 1 (candidate generation): `candidateCount: 0`, duration 200-550ms\n196: - Stage 2 (fusion): `inputCount: 0`\n197: - Stage 3 (rerank): `inputCount: 0`\n198: - Stage 4 (filter): `evidenceGapDetected: true`\n199: \n200: The 200-550ms duration at Stage 1 = Voyage AI embedding API call (succeeds). After embedding returns, channel searches execute against null references, returning empty.\n201: \n202: ### Root Cause Hypothesis\n203: \n204: **Primary**: Module-level `db` and `vectorSearchFn` in `hybrid-search.js` are `null` at search time.\n205: \n206: - `ftsSearch()` line 229: `if (!db || !isFtsAvailable()) return [];` — silently returns empty\n207: - Vector channel line 697-698: `if (activeChannels.has('vector') && embedding && vectorSearchFn)` — silently skips\n208: - Both returning empty = 0 candidates = exact observed behavior\n209: \n210: **Why null?**: Most likely ESM module duplication — `init()` sets state on one module instance while search functions execute on a different instance. This aligns with the parent spec (023-hybrid-rag-fusion-refinement).\n211: \n212: ---\n213: \n214: <!-- ANCHOR:success-criteria -->\n215: ## 5. SUCCESS CRITERIA\n216: \n217: - **SC-001**: `memory_search(\"semantic search\")` returns CocoIndex and search-related memories\n218: - **SC-002**: `memory_search(\"SpecKit Phase System\")` returns phase system memories\n219: - **SC-003**: Stage 1 trace shows `candidateCount > 0` with both vector and FTS5 contributing\n220: - **SC-004**: `memory_health` continues to report healthy\n221: <!-- /ANCHOR:success-criteria -->\n222: \n223: ---\n224: \n225: <!-- ANCHOR:risks -->\n226: \n227: ### Acceptance Scenarios\n228: \n229: **Given** the phase scope and requirements are loaded, **when** implementation starts, **then** only in-scope files and behaviors are changed.\n230: \n231: **Given** the phase deliverables are implemented, **when** verification runs, **then** required checks complete without introducing regressions.\n232: \n233: **Given** this phase depends on predecessor outputs, **when** those dependencies are present, **then** this phase behavior composes correctly with adjacent phases.\n234: \n235: **Given** this phase modifies documented behavior, **when** packet docs are reviewed, **then** spec/plan/tasks/checklist remain internally consistent.\n236: \n237: **Given** this phase is rerun in a clean environment, **when** the same commands are executed, **then** outcomes are reproducible.\n238: \n239: **Given** completion is claimed, **when** evidence is inspected, **then** each required acceptance outcome is explicitly supported.\n240: \n241: ## 6. RISKS & DEPENDENCIES\n242: \n243: | Type | Item | Impact | Mitigation |\n244: |------|------|--------|------------|\n245: | Risk | Editing dist/ directly without TS source sync | Overwritten on next build | Apply fix to TS source first |\n246: | Risk | ESM duplication affects other modules too | Broader system instability | Check module identity in vector-index-store too |\n247: | Risk | Fix requires MCP server restart | Brief search downtime | Plan restart window |\n248: | Dependency | TypeScript compiler | TS source must compile to matching dist | Verify build pipeline |\n249: <!-- /ANCHOR:risks -->\n250: \n251: ---\n252: \n253: <!-- ANCHOR:questions -->\n254: ## 7. OPEN QUESTIONS\n255: \n256: - Does the TS source exist under `mcp_server/lib/` or only compiled `dist/`?\n257: - Was there a recent `reinitializeDatabase()` trigger that could have broken the reference chain?\n258: - Are any other module-level singletons affected by ESM duplication?\n259: <!-- /ANCHOR:questions -->\n\n(End of file - total 259 lines)\n</content>","metadata":{"preview":"---\ntitle: \"Feature Specification: Hybrid [system-spec-kit/023-hybrid-rag-fusion-refinement/007-hybrid-search-null-db-fix/spec]\"\ndescription: \"The hybrid search pipeline returns 0 results for all queries because search-time filters eliminate every candidate after ESM migration follow-on changes.\"\ntrigger_phrases: [\"hybrid search null db\", \"search returns 0 results\", \"memory search broken\", \"ftssearch db null\", \"vector search null reference\", \"esm module duplication search\"]\nimportance_tier: \"critical\"\ncontextType: \"implementation\"\n_memory:\n  continuity:\n    packet_pointer: \"system-spec-kit/023-hybrid-rag-fusion-refinement/007-hybrid-search-null-db-fix\"\n    last_updated_at: \"2026-04-24T14:55:00Z\"\n    last_updated_by: \"copilot-gpt-5-4\"\n    recent_action: \"Backfilled memory block\"\n    next_safe_action: \"Revalidate packet docs\"\n    key_files: [\"spec.md\"]\ntemplate_source_hint: \"<!-- SPECKIT_TEMPLATE_SOURCE: spec-core + level2-verify | v2.2 -->\"\n---\n<!-- SPECKIT_LEVEL: 2 -->\n<!-- SPECKIT_TEMPLATE_SOURCE: spec-core + level2-verify | v2.2 -->\n\n# Feature Specification: Hybrid Search Pipeline Null DB Fix","truncated":false,"loaded":[]},"title":".opencode/specs/system-spec-kit/023-hybrid-rag-fusion-refinement/007-hybrid-search-null-db-fix/spec.md","time":{"start":1777302584139,"end":1777302584146}}}}
{"type":"tool_use","timestamp":1777302585954,"sessionID":"ses_23083fd6affewEQsIss5qmY5xw","part":{"id":"prt_dcf7d3c61001pBzmMkaDbukOfO","messageID":"msg_dcf7d18cb001MBjbKJvkl5pZ0A","sessionID":"ses_23083fd6affewEQsIss5qmY5xw","type":"tool","tool":"read","callID":"call_01_XSbGdFxPW9Ohrar07ukjwvQt","state":{"status":"completed","input":{"filePath":"/Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.opencode/skills/system-spec-kit/mcp_server/lib/search/hybrid-search.ts"},"output":"<path>/Users/michelkerkmeester/MEGA/Development/Code_Environment/Public/.opencode/skills/system-spec-kit/mcp_server/lib/search/hybrid-search.ts</path>\n<type>file</type>\n<content>\n1: // ───────────────────────────────────────────────────────────────\n2: // MODULE: Hybrid Search\n3: // ───────────────────────────────────────────────────────────────\n4: // Combines vector, FTS, and BM25 search with fallback\n5: \n6: // 1. IMPORTS\n7: \n8: // Local\n9: import { getIndex, isBm25Enabled } from './bm25-index.js';\n10: import { fuseResultsMulti } from '@spec-kit/shared/algorithms/rrf-fusion';\n11: import { adaptiveFuse, getAdaptiveWeights, isAdaptiveFusionEnabled } from '@spec-kit/shared/algorithms/adaptive-fusion';\n12: import { CO_ACTIVATION_CONFIG, spreadActivation } from '../cognitive/co-activation.js';\n13: import { applyMMR } from '@spec-kit/shared/algorithms/mmr-reranker';\n14: import { INTENT_LAMBDA_MAP, classifyIntent } from './intent-classifier.js';\n15: import { fts5Bm25Search } from './sqlite-fts.js';\n16: import { DEGREE_CHANNEL_WEIGHT } from './graph-search-fn.js';\n17: import {\n18:   isMMREnabled,\n19:   isCrossEncoderEnabled,\n20:   isLocalRerankerEnabled,\n21:   isSearchFallbackEnabled,\n22:   isDocscoreAggregationEnabled,\n23:   isDegreeBoostEnabled,\n24:   isContextHeadersEnabled,\n25: } from './search-flags.js';\n26: import { rerankLocal } from './local-reranker.js';\n27: import { computeDegreeScores } from './graph-search-fn.js';\n28: import type { GraphSearchFn } from './search-types.js';\n29: \n30: // Feature catalog: Hybrid search pipeline\n31: \n32: export type { GraphSearchFn } from './search-types.js';\n33: \n34: import { routeQuery } from './query-router.js';\n35: import { isComplexityRouterEnabled } from './query-classifier.js';\n36: import { enforceChannelRepresentation } from './channel-enforcement.js';\n37: import {\n38:   truncateByConfidence,\n39:   isConfidenceTruncationEnabled,\n40:   DEFAULT_MIN_RESULTS,\n41:   GAP_THRESHOLD_MULTIPLIER,\n42: } from './confidence-truncation.js';\n43: import {\n44:   getDynamicTokenBudget,\n45:   isDynamicTokenBudgetEnabled,\n46:   DEFAULT_TOKEN_BUDGET_CONFIG,\n47: } from './dynamic-token-budget.js';\n48: import { resolveFusionIntentContract } from './search-utils.js';\n49: import { ensureDescriptionCache, getSpecsBasePaths } from './folder-discovery.js';\n50: import {\n51:   isFolderScoringEnabled,\n52:   lookupFolders,\n53:   computeFolderRelevanceScores,\n54:   enrichResultsWithFolderScores,\n55:   twoPhaseRetrieval,\n56: } from './folder-relevance.js';\n57: \n58: import { collapseAndReassembleChunkResults } from '../scoring/mpab-aggregation.js';\n59: \n60: // Type-only\n61: import type Database from 'better-sqlite3';\n62: import type { SpreadResult } from '../cognitive/co-activation.js';\n63: import type { MMRCandidate } from '@spec-kit/shared/algorithms/mmr-reranker';\n64: import type { FusionResult } from '@spec-kit/shared/algorithms/rrf-fusion';\n65: import type { ChannelName } from './query-router.js';\n66: import type { EnforcementResult } from './channel-enforcement.js';\n67: import type { TruncationResult } from './confidence-truncation.js';\n68: \n69: // 2. INTERFACES\n70: \n71: type VectorSearchFn = (\n72:   embedding: Float32Array | number[],\n73:   options: Record<string, unknown>\n74: ) => Array<Record<string, unknown>>;\n75: \n76: interface HybridSearchOptions {\n77:   limit?: number;\n78:   specFolder?: string;\n79:   minSimilarity?: number;\n80:   useBm25?: boolean;\n81:   useFts?: boolean;\n82:   useVector?: boolean;\n83:   useGraph?: boolean;\n84:   includeArchived?: boolean;\n85:   includeContent?: boolean;\n86:   /**\n87:    * Evaluation-only mode.\n88:    * When true, preserve the requested top-K window by bypassing confidence\n89:    * truncation and token-budget truncation without changing live defaults.\n90:    */\n91:   evaluationMode?: boolean;\n92:   /** Classified query intent for adaptive fusion weight selection (e.g. 'understand', 'fix_bug'). */\n93:   intent?: string;\n94:   /** Optional trigger phrases for query-classifier trigger-match routing path. */\n95:   triggerPhrases?: string[];\n96:   /**\n97:    * Internal fallback override: when true, bypass complexity routing and\n98:    * enable all retrieval channels for this search call.\n99:    */\n100:   forceAllChannels?: boolean;\n101:   /**\n102:    * Internal raw-candidate mode used by the Stage 1 pipeline.\n103:    * When true, stop after channel collection and return pre-fusion candidates.\n104:    */\n105:   skipFusion?: boolean;\n106:   /**\n107:    * Internal pipeline handoff mode.\n108:    * When true, return immediately after adaptive/RRF fusion so Stage 2/3 can\n109:    * apply the remaining pipeline scoring and aggregation steps.\n110:    */\n111:   stopAfterFusion?: boolean;\n112: }\n113: \n114: interface HybridSearchResult {\n115:   id: number | string;\n116:   /**\n117:    * Normalized relevance score (0-1). Semantics depend on `source`:\n118:    * - `'vector'` — cosine similarity from sqlite-vec (normalized from 0-100 to 0-1)\n119:    * - `'bm25'` — BM25 term-frequency relevance (min-max normalized per source group)\n120:    * - `'fts'` — FTS5 rank score (absolute value, min-max normalized per source group)\n121:    * - `'graph'` — graph traversal relevance\n122:    *\n123:    * After hybrid merge, all source scores are min-max normalized to 0-1 within\n124:    * their source group to ensure fair cross-method comparison (see P3-02 fix).\n125:    */\n126:   score: number;\n127:   source: string;\n128:   title?: string;\n129:   [key: string]: unknown;\n130: }\n131: \n132: /** Non-enumerable shadow metadata attached to result arrays via Object.defineProperty. */\n133: interface ShadowMetaArray {\n134:   _s4shadow?: unknown;\n135:   _s4attribution?: unknown;\n136:   _degradation?: unknown;\n137: }\n138: \n139: /** Normalize a fused RRF result to the HybridSearchResult contract. */\n140: function toHybridResult(result: FusionResult): HybridSearchResult {\n141:   const sourceCandidate = (result as { source?: unknown }).source;\n142:   const primarySource = result.sources[0] ?? 'hybrid';\n143:   const scoreCandidate = (result as { score?: unknown }).score;\n144: \n145:   return {\n146:     ...result,\n147:     id: result.id,\n148:     score: typeof scoreCandidate === 'number' ? scoreCandidate : result.rrfScore,\n149:     source: typeof sourceCandidate === 'string' ? sourceCandidate : primarySource,\n150:   };\n151: }\n152: \n153: // 3. SPRINT 3 PIPELINE METADATA\n154: \n155: /**\n156:  * Optional metadata about pipeline stages attached to enhanced search results.\n157:  * Only populated when the corresponding feature flags are enabled.\n158:  */\n159: interface Sprint3PipelineMeta {\n160:   /** Query complexity routing result (SPECKIT_COMPLEXITY_ROUTER). */\n161:   routing?: {\n162:     tier: string;\n163:     channels: string[];\n164:     skippedChannels: string[];\n165:     featureFlagEnabled: boolean;\n166:     confidence: string;\n167:     features: Record<string, unknown>;\n168:   };\n169:   /** Channel enforcement result (SPECKIT_CHANNEL_MIN_REP). */\n170:   enforcement?: { applied: boolean; promotedCount: number; underRepresentedChannels: string[] };\n171:   /** Confidence truncation result (SPECKIT_CONFIDENCE_TRUNCATION). */\n172:   truncation?: {\n173:     truncated: boolean;\n174:     originalCount: number;\n175:     truncatedCount: number;\n176:     medianGap: number;\n177:     cutoffGap: number;\n178:     cutoffIndex: number;\n179:     thresholdMultiplier: number;\n180:     minResultsGuaranteed: number;\n181:     featureFlagEnabled: boolean;\n182:   };\n183:   /** Dynamic token budget result (SPECKIT_DYNAMIC_TOKEN_BUDGET). */\n184:   tokenBudget?: {\n185:     tier: string;\n186:     budget: number;\n187:     applied: boolean;\n188:     featureFlagEnabled: boolean;\n189:     configValues: Record<string, number>;\n190:     headerOverhead: number;\n191:     adjustedBudget: number;\n192:   };\n193: }\n194: \n195: // 4. PI-A2: DEGRADATION TYPES\n196: \n197: /** Fallback tier in the 3-tier degradation chain. */\n198: type FallbackTier = 1 | 2 | 3;\n199: \n200: /** Why degradation was triggered at a given tier. */\n201: interface DegradationTrigger {\n202:   reason: 'low_quality' | 'insufficient_results' | 'both';\n203:   topScore: number;\n204:   resultCount: number;\n205:   relativeGap?: number;\n206: }\n207: \n208: /** Record of a single degradation event during tiered fallback. */\n209: interface DegradationEvent {\n210:   tier: FallbackTier;\n211:   trigger: DegradationTrigger;\n212:   resultCountBefore: number;\n213:   resultCountAfter: number;\n214: }\n215: \n216: /**\n217:  * Absolute quality floor for degradation checks.\n218:  *\n219:  * Raw RRF scores are typically small decimals (often <0.05), so a\n220:  * high fixed threshold causes false degradations. Use a conservative floor and\n221:  * pair it with a relative-gap check to avoid score-scale coupling.\n222:  */\n223: const DEGRADATION_QUALITY_THRESHOLD = 0.02;\n224: \n225: /** Minimum relative separation between top-1 and top-2 scores. */\n226: const DEGRADATION_MIN_RELATIVE_GAP = 0.2;\n227: \n228: /** Minimum result count: must have >= this many results to stay at current tier. */\n229: const DEGRADATION_MIN_RESULTS = 3;\n230: \n231: // 5. MODULE STATE\n232: \n233: /** Default result limit when none is specified by the caller. */\n234: const DEFAULT_LIMIT = 20;\n235: /** Primary vector similarity floor for hybrid fallback passes (percentage units). */\n236: const PRIMARY_FALLBACK_MIN_SIMILARITY = 30;\n237: /** Secondary vector similarity floor for adaptive retry passes (percentage units). */\n238: const SECONDARY_FALLBACK_MIN_SIMILARITY = 17;\n239: /** Tier-2 vector similarity floor for quality-aware fallback (percentage units). */\n240: const TIERED_FALLBACK_MIN_SIMILARITY = 10;\n241: \n242: /** Minimum MMR candidates required for diversity reranking to be worthwhile. */\n243: const MMR_MIN_CANDIDATES = 2;\n244: \n245: /** Fallback lambda (diversity vs relevance) when intent is not in INTENT_LAMBDA_MAP. */\n246: const MMR_DEFAULT_LAMBDA = 0.7;\n247: \n248: /** Number of top results used as seeds for co-activation spreading. */\n249: const SPREAD_ACTIVATION_TOP_N = 5;\n250: \n251: /** Maximum contextual tree header length prepended to content (including brackets). */\n252: const CONTEXT_HEADER_MAX_CHARS = 100;\n253: /** Header/content separator characters added during contextual tree injection. */\n254: const CONTEXT_HEADER_SEPARATOR_CHARS = 1;\n255: /** Reserved token overhead per contextual header, calibrated to max header length. */\n256: const CONTEXT_HEADER_TOKEN_OVERHEAD = Math.ceil(\n257:   (CONTEXT_HEADER_MAX_CHARS + CONTEXT_HEADER_SEPARATOR_CHARS) / 4\n258: );\n259: \n260: let db: Database.Database | null = null;\n261: let vectorSearchFn: VectorSearchFn | null = null;\n262: let graphSearchFn: GraphSearchFn | null = null;\n263: \n264: // 6. GRAPH CHANNEL METRICS (T008)\n265: \n266: interface GraphChannelMetrics {\n267:   totalQueries: number;\n268:   graphHits: number;\n269:   graphOnlyResults: number;\n270:   multiSourceResults: number;\n271: }\n272: \n273: const graphMetrics: GraphChannelMetrics = {\n274:   totalQueries: 0,\n275:   graphHits: 0,\n276:   graphOnlyResults: 0,\n277:   multiSourceResults: 0,\n278: };\n279: \n280: /**\n281:  * Return current graph channel metrics for health check reporting.\n282:  * graphHitRate is computed as graphHits / totalQueries.\n283:  */\n284: function getGraphMetrics(): GraphChannelMetrics & { graphHitRate: number } {\n285:   return {\n286:     ...graphMetrics,\n287:     graphHitRate: graphMetrics.totalQueries > 0\n288:       ? graphMetrics.graphHits / graphMetrics.totalQueries\n289:       : 0,\n290:   };\n291: }\n292: \n293: /** Reset all graph channel metrics counters to zero. */\n294: function resetGraphMetrics(): void {\n295:   graphMetrics.totalQueries = 0;\n296:   graphMetrics.graphHits = 0;\n297:   graphMetrics.graphOnlyResults = 0;\n298:   graphMetrics.multiSourceResults = 0;\n299: }\n300: \n301: // 7. INITIALIZATION\n302: \n303: /**\n304:  * Initialize hybrid search with database, vector search, and optional graph search dependencies.\n305:  * @param database - The better-sqlite3 database instance for FTS and graph queries.\n306:  * @param vectorFn - Optional vector search function for semantic similarity.\n307:  * @param graphFn - Optional graph search function for causal/structural retrieval.\n308:  */\n309: function init(\n310:   database: Database.Database,\n311:   vectorFn: VectorSearchFn | null = null,\n312:   graphFn: GraphSearchFn | null = null\n313: ): void {\n314:   db = database;\n315:   vectorSearchFn = vectorFn;\n316:   graphSearchFn = graphFn;\n317: }\n318: \n319: // 8. BM25 SEARCH\n320: \n321: /**\n322:  * Search the BM25 index with optional spec folder filtering.\n323:  * @param query - The search query string.\n324:  * @param options - Optional limit and specFolder filter.\n325:  * @returns Array of BM25-scored results tagged with source 'bm25'.\n326:  */\n327: function bm25Search(\n328:   query: string,\n329:   options: { limit?: number; specFolder?: string } = {}\n330: ): HybridSearchResult[] {\n331:   if (!isBm25Enabled()) {\n332:     console.warn('[hybrid-search] BM25 not enabled — returning empty bm25Search results');\n333:     return [];\n334:   }\n335: \n336:   const { limit = DEFAULT_LIMIT, specFolder } = options;\n337: \n338:   try {\n339:     const index = getIndex();\n340:     const results = index.search(query, limit);\n341: \n342:     // BM25 document IDs are stringified\n343:     // Numeric memory IDs (e.g., \"42\"), not spec folder paths. The old filter compared\n344:     // R.id against specFolder which never matched. Use DB lookup to resolve spec_folder.\n345: \n346:     // B7 FIX: Batch-resolve spec folders for all result IDs (was N+1 individual queries)\n347:     // T72 SECURITY: Spec-folder scope MUST fail closed — any error in scope\n348:     // resolution returns [] rather than leaking unscoped BM25 candidates.\n349:     let specFolderMap: Map<number, string | null> | null = null;\n350:     if (specFolder) {\n351:       if (!db) {\n352:         const error = new Error('Database unavailable for spec-folder scope lookup');\n353:         console.warn('[BM25] Spec-folder scope lookup failed, returning empty scoped results:', error);\n354:         return [];\n355:       }\n356: \n357:       try {\n358:         const ids = results.map((r: { id: string }) => Number(r.id));\n359:         if (ids.length === 0) {\n360:           return [];\n361:         }\n362:         const placeholders = ids.map(() => '?').join(',');\n363:         const rows = db.prepare(\n364:           `SELECT id, spec_folder FROM memory_index WHERE id IN (${placeholders})`\n365:         ).all(...ids) as Array<{ id: number; spec_folder: string | null }>;\n366:         specFolderMap = new Map();\n367:         for (const row of rows) {\n368:           specFolderMap.set(row.id, row.spec_folder);\n369:         }\n370:       } catch (error: unknown) {\n371:         console.warn('[BM25] Spec-folder scope lookup failed, returning empty scoped results:', error);\n372:         return [];\n373:       }\n374: \n375:       // T72 DEFENSE-IN-DEPTH: If specFolder was requested but specFolderMap\n376:       // is still null after the resolution block, something unexpected happened.\n377:       // Fail closed rather than falling through to unscoped results.\n378:       if (!specFolderMap) {\n379:         const error = new Error('specFolderMap unexpectedly null after scope resolution');\n380:         console.warn('[BM25] Spec-folder scope lookup failed, returning empty scoped results:', error);\n381:         return [];\n382:       }\n383:     }\n384: \n385:     return results\n386:       .filter((r: { id: string }) => {\n387:         if (!specFolder) return true;\n388:         if (!specFolderMap) return false;\n389:         const folder = specFolderMap.get(Number(r.id));\n390:         if (!folder) return false;\n391:         return folder === specFolder || folder.startsWith(specFolder + '/');\n392:       })\n393:       .map((r: { id: string; score: number }) => ({\n394:         ...r,\n395:         source: 'bm25',\n396:       }));\n397:   } catch (error: unknown) {\n398:     const msg = error instanceof Error ? error.message : String(error);\n399:     console.warn(`[hybrid-search] BM25 search failed: ${msg}`);\n400:     return [];\n401:   }\n402: }\n403: \n404: /**\n405:  * Check whether the BM25 index is populated and available for search.\n406:  * @returns True if the BM25 index exists and contains at least one document.\n407:  */\n408: function isBm25Available(): boolean {\n409:   if (!isBm25Enabled()) {\n410:     return false;\n411:   }\n412: \n413:   try {\n414:     const index = getIndex();\n415:     return index.getStats().documentCount > 0;\n416:   } catch (_err: unknown) {\n417:     // Swallow index-not-initialized errors; caller treats absence as unavailable\n418:     return false;\n419:   }\n420: }\n421: \n422: // 9. FTS SEARCH\n423: \n424: /**\n425:  * Check whether the FTS5 full-text search table exists in the database.\n426:  * @returns True if the memory_fts table exists in the connected database.\n427:  */\n428: function isFtsAvailable(): boolean {\n429:   if (!db) {\n430:     console.warn('[hybrid-search] db not initialized — isFtsAvailable returning false');\n431:     return false;\n432:   }\n433: \n434:   try {\n435:     const result = (db.prepare(`\n436:       SELECT name FROM sqlite_master WHERE type='table' AND name='memory_fts'\n437:     `) as Database.Statement).get() as { name: string } | undefined;\n438:     return !!result;\n439:   } catch (_err: unknown) {\n440:     // Swallow DB errors; caller treats absence as unavailable\n441:     return false;\n442:   }\n443: }\n444: \n445: /**\n446:  * Run FTS5 full-text search with weighted BM25 scoring and optional spec folder filtering.\n447:  * @param query - The search query string.\n448:  * @param options - Optional limit, specFolder filter, and includeArchived flag.\n449:  * @returns Array of FTS-scored results tagged with source 'fts'.\n450:  */\n451: function ftsSearch(\n452:   query: string,\n453:   options: { limit?: number; specFolder?: string; includeArchived?: boolean } = {}\n454: ): HybridSearchResult[] {\n455:   if (!db || !isFtsAvailable()) {\n456:     console.warn('[hybrid-search] db not initialized or FTS unavailable — returning empty ftsSearch results');\n457:     return [];\n458:   }\n459: \n460:   const { limit = DEFAULT_LIMIT, specFolder, includeArchived = false } = options;\n461: \n462:   try {\n463:     // C138-P2: Delegate to weighted BM25 FTS5 search from sqlite-fts.ts\n464:     // Uses bm25(memory_fts, 10.0, 5.0, 2.0, 1.0) for per-column weighting\n465:     // (title 10x, trigger_phrases 5x, file_path 2x, content 1x)\n466:     // Filters: deprecated-tier exclusion and spec-folder matching handled by fts5Bm25Search\n467:     const bm25Results = fts5Bm25Search(db, query, { limit, specFolder, includeArchived });\n468: \n469:     return bm25Results.map(row => ({\n470:       ...row,\n471:       id: row.id as number,\n472:       score: row.fts_score || 0,\n473:       source: 'fts',\n474:     }));\n475:   } catch (error: unknown) {\n476:     const msg = error instanceof Error ? error.message : String(error);\n477:     console.warn(`[hybrid-search] FTS search failed: ${msg}`);\n478:     return [];\n479:   }\n480: }\n481: \n482: // 10. COMBINED LEXICAL SEARCH\n483: \n484: /**\n485:  * Merge FTS and BM25 search results, deduplicating by ID and preferring FTS scores.\n486:  * @param query - The search query string.\n487:  * @param options - Optional limit, specFolder filter, and includeArchived flag.\n488:  * @returns Deduplicated array of merged results sorted by score descending.\n489:  */\n490: function combinedLexicalSearch(\n491:   query: string,\n492:   options: { limit?: number; specFolder?: string; includeArchived?: boolean } = {}\n493: ): HybridSearchResult[] {\n494:   const ftsResults = ftsSearch(query, options);\n495:   const bm25Results = bm25Search(query, options);\n496: \n497:   // Merge by canonical ID, prefer FTS scores.\n498:   // CanonicalResultId() prevents duplicate rows when one channel emits\n499:   // Numeric IDs (42) and another emits string IDs (\"42\" or \"mem:42\").\n500:   const merged = new Map<string, HybridSearchResult>();\n501: \n502:   for (const r of ftsResults) {\n503:     merged.set(canonicalResultId(r.id), r);\n504:   }\n505: \n506:   for (const r of bm25Results) {\n507:     const canonicalId = canonicalResultId(r.id);\n508:     if (!merged.has(canonicalId)) {\n509:       merged.set(canonicalId, r);\n510:     }\n511:   }\n512: \n513:   return Array.from(merged.values())\n514:     .sort((a, b) => b.score - a.score)\n515:     .slice(0, options.limit || DEFAULT_LIMIT);\n516: }\n517: \n518: type RawChannelList = {\n519:   source: string;\n520:   results: Array<{ id: number | string; [key: string]: unknown }>;\n521: };\n522: \n523: function resolveRawCandidateScore(result: { score?: unknown; similarity?: unknown }): number {\n524:   if (typeof result.score === 'number' && Number.isFinite(result.score)) {\n525:     return result.score;\n526:   }\n527:   if (typeof result.similarity === 'number' && Number.isFinite(result.similarity)) {\n528:     return result.similarity / 100;\n529:   }\n530:   return 0;\n531: }\n532: \n533: function getCandidateSources(result: HybridSearchResult): string[] {\n534:   const sourceList = (result as { sources?: unknown }).sources;\n535:   if (Array.isArray(sourceList)) {\n536:     return sourceList.filter((value): value is string => typeof value === 'string');\n537:   }\n538:   return typeof result.source === 'string' && result.source.length > 0\n539:     ? [result.source]\n540:     : [];\n541: }\n542: \n543: function getCandidateSourceScores(result: HybridSearchResult): Record<string, number> {\n544:   const sourceScores = (result as { sourceScores?: unknown }).sourceScores;\n545:   if (sourceScores && typeof sourceScores === 'object' && !Array.isArray(sourceScores)) {\n546:     const normalizedScores: Record<string, number> = {};\n547:     for (const [source, score] of Object.entries(sourceScores as Record<string, unknown>)) {\n548:       if (typeof score === 'number' && Number.isFinite(score)) {\n549:         normalizedScores[source] = score;\n550:       }\n551:     }\n552:     return normalizedScores;\n553:   }\n554: \n555:   const fallbackScores: Record<string, number> = {};\n556:   const resultScore = typeof result.score === 'number' && Number.isFinite(result.score)\n557:     ? result.score\n558:     : 0;\n559:   for (const source of getCandidateSources(result)) {\n560:     fallbackScores[source] = resultScore;\n561:   }\n562:   return fallbackScores;\n563: }\n564: \n565: function mergeRawCandidate(\n566:   existing: HybridSearchResult | undefined,\n567:   incoming: HybridSearchResult\n568: ): HybridSearchResult {\n569:   if (!existing) {\n570:     const sources = getCandidateSources(incoming);\n571:     const channelCount = sources.length;\n572:     return {\n573:       ...incoming,\n574:       sources,\n575:       channelCount,\n576:       sourceScores: getCandidateSourceScores(incoming),\n577:       channelAttribution: sources,\n578:     };\n579:   }\n580: \n581:   const existingScore = typeof existing.score === 'number' && Number.isFinite(existing.score)\n582:     ? existing.score\n583:     : 0;\n584:   const incomingScore = typeof incoming.score === 'number' && Number.isFinite(incoming.score)\n585:     ? incoming.score\n586:     : 0;\n587:   const primary = incomingScore > existingScore ? incoming : existing;\n588:   const secondary = primary === incoming ? existing : incoming;\n589:   const sources = Array.from(new Set([\n590:     ...getCandidateSources(existing),\n591:     ...getCandidateSources(incoming),\n592:   ]));\n593:   const channelCount = sources.length;\n594:   const crossChannelBonus = Math.min(0.06, 0.02 * Math.max(0, channelCount - 1));\n595:   const mergedScore = Math.max(0, Math.min(1, Math.max(existingScore, incomingScore) + crossChannelBonus));\n596: \n597:   return {\n598:     ...(secondary ?? {}),\n599:     ...primary,\n600:     score: mergedScore,\n601:     source: typeof primary.source === 'string' ? primary.source : (sources[0] ?? 'hybrid'),\n602:     sources,\n603:     channelCount,\n604:     sourceScores: {\n605:       ...getCandidateSourceScores(existing),\n606:       ...getCandidateSourceScores(incoming),\n607:     },\n608:     channelAttribution: sources,\n609:   };\n610: }\n611: \n612: function collectCandidatesFromLists(\n613:   lists: RawChannelList[],\n614:   limit?: number\n615: ): HybridSearchResult[] {\n616:   const deduped = new Map<string, HybridSearchResult>();\n617: \n618:   for (const list of lists) {\n619:     if (!Array.isArray(list.results) || list.results.length === 0) continue;\n620: \n621:     const scored = list.results.map((result) => {\n622:       const rawScore = resolveRawCandidateScore(result as { score?: unknown; similarity?: unknown });\n623:       return { result, rawScore };\n624:     });\n625: \n626:     let min = Infinity;\n627:     let max = -Infinity;\n628:     for (const { rawScore } of scored) {\n629:       if (rawScore < min) min = rawScore;\n630:       if (rawScore > max) max = rawScore;\n631:     }\n632:     const range = max - min;\n633: \n634:     for (const { result, rawScore } of scored) {\n635:       const normalizedScore = range > 0 ? (rawScore - min) / range : (rawScore > 0 ? 1.0 : 0);\n636:       const candidate: HybridSearchResult = {\n637:         ...result,\n638:         id: result.id,\n639:         source: list.source,\n640:         score: normalizedScore,\n641:         sources: [list.source],\n642:         sourceScores: { [list.source]: normalizedScore },\n643:         channelAttribution: [list.source],\n644:       };\n645:       const key = canonicalResultId(candidate.id);\n646:       deduped.set(key, mergeRawCandidate(deduped.get(key), candidate));\n647:     }\n648:   }\n649: \n650:   return applyResultLimit(\n651:     Array.from(deduped.values()).sort((a, b) => {\n652:       const aScore = typeof a.score === 'number' && Number.isFinite(a.score) ? a.score : 0;\n653:       const bScore = typeof b.score === 'number' && Number.isFinite(b.score) ? b.score : 0;\n654:       return bScore - aScore;\n655:     }),\n656:     limit\n657:   );\n658: }\n659: \n660: function mergeRawCandidateSets(\n661:   existing: HybridSearchResult[],\n662:   incoming: HybridSearchResult[],\n663:   limit?: number\n664: ): HybridSearchResult[] {\n665:   const merged = new Map<string, HybridSearchResult>();\n666: \n667:   for (const result of [...existing, ...incoming]) {\n668:     const key = canonicalResultId(result.id);\n669:     merged.set(key, mergeRawCandidate(merged.get(key), result));\n670:   }\n671: \n672:   return applyResultLimit(\n673:     Array.from(merged.values()).sort((a, b) => {\n674:       const aScore = typeof a.score === 'number' && Number.isFinite(a.score) ? a.score : 0;\n675:       const bScore = typeof b.score === 'number' && Number.isFinite(b.score) ? b.score : 0;\n676:       return bScore - aScore;\n677:     }),\n678:     limit\n679:   );\n680: }\n681: \n682: function getAllowedChannels(options: HybridSearchOptions): Set<ChannelName> {\n683:   const allowed = new Set<ChannelName>(['vector', 'fts', 'graph', 'degree']);\n684: \n685:   if (isBm25Enabled()) {\n686:     allowed.add('bm25');\n687:   }\n688: \n689:   if (options.useVector === false) allowed.delete('vector');\n690:   if (options.useBm25 === false) allowed.delete('bm25');\n691:   if (options.useFts === false) allowed.delete('fts');\n692:   if (options.useGraph === false) {\n693:     allowed.delete('graph');\n694:     allowed.delete('degree');\n695:   }\n696: \n697:   return allowed;\n698: }\n699: \n700: function applyAllowedChannelOverrides(\n701:   options: HybridSearchOptions,\n702:   allowedChannels: Set<ChannelName>,\n703:   overrides: Partial<HybridSearchOptions> = {}\n704: ): HybridSearchOptions {\n705:   return {\n706:     ...options,\n707:     ...overrides,\n708:     useVector: allowedChannels.has('vector'),\n709:     useBm25: allowedChannels.has('bm25'),\n710:     useFts: allowedChannels.has('fts'),\n711:     useGraph: allowedChannels.has('graph'),\n712:   };\n713: }\n714: \n715: type FallbackPlanKind = 'adaptive' | 'tiered';\n716: type FallbackStageName = 'primary' | 'retry';\n717: \n718: interface FallbackPlanStage {\n719:   stage: FallbackStageName;\n720:   options: HybridSearchOptions;\n721:   results: HybridSearchResult[];\n722:   execution: HybridFusionExecution | null;\n723:   trigger?: 'empty' | DegradationTrigger;\n724: }\n725: \n726: interface FallbackPlanExecution {\n727:   allowedChannels: Set<ChannelName>;\n728:   stages: FallbackPlanStage[];\n729: }\n730: \n731: interface HybridFusionExecution {\n732:   evaluationMode: boolean;\n733:   intent: string;\n734:   lists: Array<{\n735:     source: string;\n736:     results: Array<{ id: number | string; [key: string]: unknown }>;\n737:     weight?: number;\n738:   }>;\n739:   routeResult: ReturnType<typeof routeQuery>;\n740:   budgetResult: ReturnType<typeof getDynamicTokenBudget>;\n741:   s3meta: Sprint3PipelineMeta;\n742:   fusedResults: HybridSearchResult[];\n743:   vectorEmbeddingCache: Map<number, Float32Array>;\n744: }\n745: \n746: function resolveAdaptiveDocumentType(\n747:   lists: Array<{ results: Array<Record<string, unknown>> }>,\n748: ): string | undefined {\n749:   const counts = new Map<string, number>();\n750:   for (const list of lists) {\n751:     for (const result of list.results.slice(0, 3)) {\n752:       const candidate = result.documentType ?? result.document_type;\n753:       if (typeof candidate !== 'string' || candidate.length === 0) {\n754:         continue;\n755:       }\n756:       counts.set(candidate, (counts.get(candidate) ?? 0) + 1);\n757:     }\n758:   }\n759: \n760:   let topType: string | undefined;\n761:   let topCount = 0;\n762:   for (const [documentType, count] of counts) {\n763:     if (count > topCount) {\n764:       topType = documentType;\n765:       topCount = count;\n766:     }\n767:   }\n768: \n769:   return topType;\n770: }\n771: \n772: function markFallbackRetry(results: HybridSearchResult[]): HybridSearchResult[] {\n773:   for (const result of results) {\n774:     (result as Record<string, unknown>).fallbackRetry = true;\n775:   }\n776: \n777:   return results;\n778: }\n779: \n780: function toEmbeddingBufferView(value: unknown): Float32Array | null {\n781:   if (value instanceof Float32Array) {\n782:     return value;\n783:   }\n784: \n785:   if (Array.isArray(value)) {\n786:     const asNumbers = value.every((entry) => typeof entry === 'number' && Number.isFinite(entry));\n787:     return asNumbers ? new Float32Array(value) : null;\n788:   }\n789: \n790:   if (Buffer.isBuffer(value)) {\n791:     return new Float32Array(value.buffer, value.byteOffset, value.byteLength / 4);\n792:   }\n793: \n794:   return null;\n795: }\n796: \n797: async function executeFallbackPlan(\n798:   query: string,\n799:   embedding: Float32Array | number[] | null,\n800:   options: HybridSearchOptions = {},\n801:   planKind: FallbackPlanKind,\n802:   overrides: Partial<HybridSearchOptions> = {}\n803: ): Promise<FallbackPlanExecution> {\n804:   const allowedChannels = getAllowedChannels(options);\n805:   const stages: FallbackPlanStage[] = [];\n806: \n807:   const primaryOptions = applyAllowedChannelOverrides(options, allowedChannels, {\n808:     minSimilarity: options.minSimilarity ?? PRIMARY_FALLBACK_MIN_SIMILARITY,\n809:     ...overrides,\n810:   });\n811:   const primaryExecution = await collectAndFuseHybridResults(query, embedding, primaryOptions);\n812:   const primaryResults = primaryExecution\n813:     ? applyResultLimit(primaryExecution.fusedResults, primaryOptions.limit)\n814:     : await hybridSearch(query, embedding, primaryOptions);\n815:   stages.push({\n816:     stage: 'primary',\n817:     options: primaryOptions,\n818:     results: primaryResults,\n819:     execution: primaryExecution,\n820:   });\n821: \n822:   if (planKind === 'tiered') {\n823:     const trigger = checkDegradation(primaryResults);\n824:     if (!trigger) {\n825:       return { allowedChannels, stages };\n826:     }\n827: \n828:     const retryOptions = applyAllowedChannelOverrides(options, allowedChannels, {\n829:       ...overrides,\n830:       minSimilarity: TIERED_FALLBACK_MIN_SIMILARITY,\n831:       forceAllChannels: true,\n832:     });\n833:     const retryExecution = await collectAndFuseHybridResults(query, embedding, retryOptions);\n834:     const retryResults = retryExecution\n835:       ? applyResultLimit(retryExecution.fusedResults, retryOptions.limit)\n836:       : await hybridSearch(query, embedding, retryOptions);\n837:     stages.push({\n838:       stage: 'retry',\n839:       options: retryOptions,\n840:       results: retryResults,\n841:       execution: retryExecution,\n842:       trigger,\n843:     });\n844:     return { allowedChannels, stages };\n845:   }\n846: \n847:   const primaryMinSimilarity = primaryOptions.minSimilarity ?? PRIMARY_FALLBACK_MIN_SIMILARITY;\n848:   if (primaryResults.length === 0 && primaryMinSimilarity >= SECONDARY_FALLBACK_MIN_SIMILARITY) {\n849:     const retryOptions = applyAllowedChannelOverrides(options, allowedChannels, {\n850:       ...overrides,\n851:       minSimilarity: SECONDARY_FALLBACK_MIN_SIMILARITY,\n852:     });\n853:     const retryExecution = await collectAndFuseHybridResults(query, embedding, retryOptions);\n854:     const retryResultsBase = retryExecution\n855:       ? applyResultLimit(retryExecution.fusedResults, retryOptions.limit)\n856:       : await hybridSearch(query, embedding, retryOptions);\n857:     const retryResults = retryResultsBase.length > 0\n858:       ? markFallbackRetry(retryResultsBase)\n859:       : retryResultsBase;\n860:     stages.push({\n861:       stage: 'retry',\n862:       options: retryOptions,\n863:       results: retryResults,\n864:       execution: retryExecution,\n865:       trigger: 'empty',\n866:     });\n867:   }\n868: \n869:   return { allowedChannels, stages };\n870: }\n871: \n872: // 11. HYBRID SEARCH\n873: \n874: /**\n875:  * Run multi-channel hybrid search combining vector, FTS, BM25, and graph results with per-source normalization.\n876:  * Prefer hybridSearchEnhanced() or searchWithFallback() instead. This function uses naive per-source\n877:  * min-max normalization which produces different orderings than the RRF pipeline in hybridSearchEnhanced().\n878:  * Retained as internal fallback only.\n879:  */\n880: async function hybridSearch(\n881:   query: string,\n882:   embedding: Float32Array | number[] | null,\n883:   options: HybridSearchOptions = {}\n884: ): Promise<HybridSearchResult[]> {\n885:   const {\n886:     limit = DEFAULT_LIMIT,\n887:     specFolder,\n888:     minSimilarity = 0,\n889:     useBm25 = isBm25Enabled(),\n890:     useFts = true,\n891:     useVector = true,\n892:     useGraph = true,\n893:     includeArchived = false,\n894:   } = options;\n895: \n896:   const results: HybridSearchResult[] = [];\n897: \n898:   // Vector search\n899:   if (useVector && embedding && vectorSearchFn) {\n900:     try {\n901:       const vectorResults = vectorSearchFn(embedding, {\n902:         limit,\n903:         specFolder,\n904:         minSimilarity,\n905:         includeConstitutional: false, // Handler manages constitutional separately\n906:         includeArchived,\n907:       });\n908:       for (const r of vectorResults) {\n909:         results.push({\n910:           ...r,\n911:           id: r.id as number,\n912:           score: (r.similarity as number) || 0,\n913:           source: 'vector',\n914:         });\n915:       }\n916:     } catch (error: unknown) {\n917:       const msg = error instanceof Error ? error.message : String(error);\n918:       console.warn(`[hybrid-search] Vector search failed: ${msg}`);\n919:     }\n920:   }\n921: \n922:   // FTS search\n923:   if (useFts) {\n924:     const ftsResults = ftsSearch(query, { limit, specFolder, includeArchived });\n925:     results.push(...ftsResults);\n926:   }\n927: \n928:   // BM25 search\n929:   if (useBm25) {\n930:     const bm25Results = bm25Search(query, { limit, specFolder });\n931:     results.push(...bm25Results);\n932:   }\n933: \n934:   // Graph search\n935:   if (useGraph && graphSearchFn) {\n936:     try {\n937:       const graphResults = graphSearchFn(query, { limit, specFolder });\n938:       for (const r of graphResults) {\n939:         results.push({\n940:           ...r,\n941:           id: r.id as number | string,\n942:           score: (r.score as number) || 0,\n943:           source: 'graph',\n944:         });\n945:       }\n946:     } catch (error: unknown) {\n947:       const msg = error instanceof Error ? error.message : String(error);\n948:       console.warn(`[hybrid-search] Graph search failed: ${msg}`);\n949:     }\n950:   }\n951: \n952:   // Normalize scores per source before merging so one method's raw scale\n953:   // Does not dominate others during final ranking.\n954:   const bySource = new Map<string, HybridSearchResult[]>();\n955:   for (const r of results) {\n956:     const src = r.source || 'unknown';\n957:     if (!bySource.has(src)) bySource.set(src, []);\n958:     bySource.get(src)!.push(r); // non-null safe: has() guard above guarantees entry exists\n959:   }\n960: \n961:   const normalized: HybridSearchResult[] = [];\n962:   for (const [, group] of bySource) {\n963:     if (group.length === 0) continue;\n964:     const scores = group.map(r => r.score);\n965:     let min = Infinity;\n966:     let max = -Infinity;\n967:     for (const s of scores) {\n968:       if (s < min) min = s;\n969:       if (s > max) max = s;\n970:     }\n971:     const range = max - min;\n972:     for (const r of group) {\n973:       normalized.push({\n974:         ...r,\n975:         score: range > 0 ? (r.score - min) / range : (r.score > 0 ? 1.0 : 0),\n976:       });\n977:     }\n978:   }\n979: \n980:   // Deduplicate by ID (keep highest normalized score)\n981:   // LIMITATION (P1-1): When a result appears in multiple sources (e.g., vector + fts),\n982:   // Only the highest-scoring entry's `source` is preserved. Multi-source provenance\n983:   // Is lost here. To fix properly, HybridSearchResult would need a `sources: string[]`\n984:   // Field and downstream consumers would need to be updated accordingly.\n985:   const deduped = new Map<string, HybridSearchResult>();\n986:   for (const r of normalized) {\n987:     const canonicalId = canonicalResultId(r.id);\n988:     const existing = deduped.get(canonicalId);\n989:     if (!existing || r.score > existing.score) {\n990:       deduped.set(canonicalId, r);\n991:     }\n992:   }\n993: \n994:   return Array.from(deduped.values())\n995:     .sort((a, b) => b.score - a.score)\n996:     .slice(0, limit);\n997: }\n998: \n999: /**\n1000:  * Enhanced hybrid search with RRF fusion.\n1001:  * All search channels use synchronous better-sqlite3; sequential execution\n1002:  * is correct — Promise.all would add overhead without achieving parallelism.\n1003:  */\n1004: async function hybridSearchEnhanced(\n1005:   query: string,\n1006:   embedding: Float32Array | number[] | null,\n1007:   options: HybridSearchOptions = {}\n1008: ): Promise<HybridSearchResult[]> {\n1009:   const execution = await collectAndFuseHybridResults(query, embedding, options);\n1010:   if (execution) {\n1011:     if (options.stopAfterFusion) {\n1012:       return applyResultLimit(execution.fusedResults, options.limit);\n1013:     }\n1014: \n1015:     return enrichFusedResults(query, execution, options);\n1016:   }\n1017: \n1018:   return hybridSearch(query, embedding, options);\n1019: }\n1020: \n1021: async function collectAndFuseHybridResults(\n1022:   query: string,\n1023:   embedding: Float32Array | number[] | null,\n1024:   options: HybridSearchOptions = {}\n1025: ): Promise<HybridFusionExecution | null> {\n1026:   try {\n1027:     const evaluationMode = options.evaluationMode === true;\n1028:     const lists: HybridFusionExecution['lists'] = [];\n1029: \n1030:     // Pipeline metadata collector (populated by flag-gated stages)\n1031:     const s3meta: Sprint3PipelineMeta = {};\n1032: \n1033:     // -- Stage A: Query Classification + Routing (SPECKIT_COMPLEXITY_ROUTER) --\n1034:     // When enabled, classifies query complexity and restricts channels to a\n1035:     // Subset (e.g., simple queries skip graph+degree). When disabled, all channels run.\n1036:     const routeResult = routeQuery(query, options.triggerPhrases);\n1037:     const allPossibleChannels: ChannelName[] = ['vector', 'fts', 'bm25', 'graph', 'degree'];\n1038:     const activeChannels = options.forceAllChannels\n1039:       ? new Set<ChannelName>(allPossibleChannels)\n1040:       : new Set<ChannelName>(routeResult.channels);\n1041: \n1042:     // Respect explicit caller channel disables across both the primary route and\n1043:     // every fallback tier. useGraph=false also disables the dependent degree lane.\n1044:     const allowedChannels = getAllowedChannels(options);\n1045:     for (const channel of allPossibleChannels) {\n1046:       if (!allowedChannels.has(channel)) activeChannels.delete(channel);\n1047:     }\n1048: \n1049:     const skippedChannels = allPossibleChannels.filter(ch => !activeChannels.has(ch));\n1050: \n1051:     if (skippedChannels.length > 0) {\n1052:       s3meta.routing = {\n1053:         tier: routeResult.tier,\n1054:         channels: routeResult.channels,\n1055:         skippedChannels,\n1056:         featureFlagEnabled: isComplexityRouterEnabled(),\n1057:         confidence: routeResult.classification.confidence,\n1058:         features: routeResult.classification.features as Record<string, unknown>,\n1059:       };\n1060:     }\n1061: \n1062:     // -- Stage E: Dynamic Token Budget (SPECKIT_DYNAMIC_TOKEN_BUDGET) --\n1063:     // Compute tier-aware budget early so it's available for downstream truncation.\n1064:     // When disabled, getDynamicTokenBudget returns the default 4000 budget with applied=false.\n1065:     const budgetResult = getDynamicTokenBudget(routeResult.tier);\n1066:     if (budgetResult.applied && !evaluationMode) {\n1067:       s3meta.tokenBudget = {\n1068:         tier: budgetResult.tier,\n1069:         budget: budgetResult.budget,\n1070:         applied: budgetResult.applied,\n1071:         featureFlagEnabled: isDynamicTokenBudgetEnabled(),\n1072:         configValues: DEFAULT_TOKEN_BUDGET_CONFIG as unknown as Record<string, number>,\n1073:         // headerOverhead and adjustedBudget are patched in below after they are computed\n1074:         headerOverhead: 0,\n1075:         adjustedBudget: budgetResult.budget,\n1076:       };\n1077:     }\n1078: \n1079:     // Channel results collected independently, merged after all complete\n1080:     let semanticResults: Array<{ id: number | string; source: string; [key: string]: unknown }> = [];\n1081:     let ftsChannelResults: HybridSearchResult[] = [];\n1082:     let bm25ChannelResults: HybridSearchResult[] = [];\n1083:     const vectorEmbeddingCache = new Map<number, Float32Array>();\n1084: \n1085:     // All channels use synchronous better-sqlite3; sequential execution\n1086:     // Is correct — Promise.all adds overhead without parallelism.\n1087: \n1088:     // Vector channel — gated by query-complexity routing\n1089:     if (activeChannels.has('vector') && embedding && vectorSearchFn) {\n1090:       try {\n1091:         const vectorResults = vectorSearchFn(embedding, {\n1092:           limit: options.limit || DEFAULT_LIMIT,\n1093:           specFolder: options.specFolder,\n1094:           minSimilarity: options.minSimilarity || 0,\n1095:           includeConstitutional: false,\n1096:           includeArchived: options.includeArchived || false,\n1097:           includeEmbeddings: true,\n1098:         });\n1099:         semanticResults = vectorResults.map((r: Record<string, unknown>): { id: number | string; source: string; [key: string]: unknown } => ({\n1100:           ...r,\n1101:           id: r.id as number | string,\n1102:           source: 'vector',\n1103:         }));\n1104:         for (const result of semanticResults) {\n1105:           if (typeof result.id !== 'number') continue;\n1106:           const embeddingCandidate = toEmbeddingBufferView(\n1107:             (result as Record<string, unknown>).embedding\n1108:             ?? (result as Record<string, unknown>).embeddingBuffer\n1109:           );\n1110:           if (embeddingCandidate) {\n1111:             vectorEmbeddingCache.set(result.id, embeddingCandidate);\n1112:           }\n1113:         }\n1114:         lists.push({ source: 'vector', results: semanticResults, weight: 1.0 });\n1115:       } catch (_err: unknown) {\n1116:         // Non-critical — vector channel failure does not block pipeline\n1117:         console.warn('[hybrid-search] Channel error:', _err instanceof Error ? _err.message : String(_err));\n1118:       }\n1119:     }\n1120: \n1121:     // FTS channel (internal error handling in ftsSearch) — gated by query-complexity routing\n1122:     if (activeChannels.has('fts')) {\n1123:       ftsChannelResults = ftsSearch(query, options);\n1124:       if (ftsChannelResults.length > 0) {\n1125:         // FTS weight reduced to 0.3 after ablation showed 0.8 was harmful,\n1126:         // flooding top-K with noisy lexical matches despite its exact-match value.\n1127:         lists.push({ source: 'fts', results: ftsChannelResults, weight: 0.3 });\n1128:       }\n1129:     }\n1130: \n1131:     // BM25 channel (internal error handling in bm25Search) — gated by query-complexity routing\n1132:     if (activeChannels.has('bm25')) {\n1133:       bm25ChannelResults = bm25Search(query, options);\n1134:       if (bm25ChannelResults.length > 0) {\n1135:         // BM25 weight 0.6 is lowest lexical channel — in-memory BM25 index\n1136:         // Has less precise scoring than SQLite FTS5 BM25; kept for coverage breadth.\n1137:         lists.push({ source: 'bm25', results: bm25ChannelResults, weight: 0.6 });\n1138:       }\n1139:     }\n1140: \n1141:     // Graph channel — gated by query-complexity routing\n1142:     const useGraph = (options.useGraph !== false) && activeChannels.has('graph');\n1143:     if (useGraph && graphSearchFn) {\n1144:       try {\n1145:         graphMetrics.totalQueries++; // counted only if channel executes\n1146:         const graphResults = graphSearchFn(query, {\n1147:           limit: options.limit || DEFAULT_LIMIT,\n1148:           specFolder: options.specFolder,\n1149:           intent: options.intent,\n1150:         });\n1151:         if (graphResults.length > 0) {\n1152:           graphMetrics.graphHits++;\n1153:           lists.push({ source: 'graph', results: graphResults.map((r: Record<string, unknown>) => ({\n1154:             ...r,\n1155:             id: r.id as number | string,\n1156:           })), weight: 0.5 });\n1157:         }\n1158:       } catch (_err: unknown) {\n1159:         // Non-critical — graph channel failure does not block pipeline\n1160:         console.warn('[hybrid-search] Channel error:', _err instanceof Error ? _err.message : String(_err));\n1161:       }\n1162:     }\n1163: \n1164:     // Degree channel re-ranks based on causal-edge connectivity.\n1165:     // Graduated: default-ON. Set SPECKIT_DEGREE_BOOST=false to disable.\n1166:     // Degree channel — also gated by query-complexity routing\n1167:     if (activeChannels.has('degree') && db && isDegreeBoostEnabled()) {\n1168:       try {\n1169:         // Collect all numeric IDs from existing channels\n1170:         const allResultIds = new Set<number>();\n1171:         for (const list of lists) {\n1172:           for (const r of list.results) {\n1173:             const id = r.id;\n1174:             if (typeof id === 'number') allResultIds.add(id);\n1175:           }\n1176:         }\n1177: \n1178:         if (allResultIds.size > 0) {\n1179:           const degreeScores = computeDegreeScores(db, Array.from(allResultIds));\n1180: \n1181:           // Build a ranked list sorted by degree score (highest first)\n1182:           const degreeItems: Array<{ id: number; degreeScore: number }> = [];\n1183:           for (const [idStr, score] of degreeScores) {\n1184:             const numId = Number(idStr);\n1185:             if (score > 0 && !isNaN(numId)) {\n1186:               degreeItems.push({ id: numId, degreeScore: score });\n1187:             }\n1188:           }\n1189:           degreeItems.sort((a, b) => b.degreeScore - a.degreeScore);\n1190: \n1191:           if (degreeItems.length > 0) {\n1192:             lists.push({\n1193:               source: 'degree',\n1194:               results: degreeItems.map(item => ({\n1195:                 id: item.id,\n1196:                 degreeScore: item.degreeScore,\n1197:               })),\n1198:               weight: DEGREE_CHANNEL_WEIGHT,\n1199:             });\n1200:           }\n1201:         }\n1202:       } catch (_err: unknown) {\n1203:         // Non-critical — degree channel failure does not block pipeline\n1204:         console.warn('[hybrid-search] Channel error:', _err instanceof Error ? _err.message : String(_err));\n1205:       }\n1206:     }\n1207: \n1208:     // Merge keyword results after all channels complete\n1209:     const keywordResults: Array<{ id: number | string; source: string; [key: string]: unknown }> = [\n1210:       ...ftsChannelResults,\n1211:       ...bm25ChannelResults,\n1212:     ];\n1213: \n1214:     if (options.skipFusion) {\n1215:       return {\n1216:         evaluationMode,\n1217:         intent: options.intent || classifyIntent(query).intent,\n1218:         lists,\n1219:         routeResult,\n1220:         budgetResult,\n1221:         s3meta,\n1222:         vectorEmbeddingCache,\n1223:         fusedResults: collectCandidatesFromLists(\n1224:           lists.filter((list) => list.source !== 'degree'),\n1225:           options.limit ?? DEFAULT_LIMIT\n1226:         ),\n1227:       };\n1228:     }\n1229: \n1230:     if (lists.length === 0) {\n1231:       return null;\n1232:     }\n1233: \n1234:     // Track multi-source and graph-only results\n1235:     const sourceMap = new Map<string, Set<string>>();\n1236:     for (const list of lists) {\n1237:       for (const r of list.results) {\n1238:         const key = canonicalResultId(r.id);\n1239:         if (!sourceMap.has(key)) sourceMap.set(key, new Set());\n1240:         sourceMap.get(key)!.add(list.source); // non-null safe: has() guard above guarantees entry exists\n1241:       }\n1242:     }\n1243:     for (const [, sources] of sourceMap) {\n1244:       if (sources.size > 1) graphMetrics.multiSourceResults++;\n1245:       if (sources.size === 1 && sources.has('graph')) graphMetrics.graphOnlyResults++;\n1246:     }\n1247: \n1248:     // C138/T315: Build weighted fusion lists once from lightweight adaptive\n1249:     // weights, avoiding the heavier hybridAdaptiveFuse() standard-first path.\n1250:     const detectedIntent = classifyIntent(query).intent;\n1251:     const intent = resolveFusionIntentContract({\n1252:       detectedIntent,\n1253:       adaptiveFusionIntent: options.intent ?? null,\n1254:       query,\n1255:     })\n1256:       ?? detectedIntent;\n1257:     const adaptiveEnabled = isAdaptiveFusionEnabled();\n1258:     const documentType = resolveAdaptiveDocumentType(lists.map((list) => ({\n1259:       results: list.results as Array<Record<string, unknown>>,\n1260:     })));\n1261:     const fusionWeights = adaptiveEnabled\n1262:       ? getAdaptiveWeights(intent, documentType)\n1263:       : { semanticWeight: 1.0, keywordWeight: 1.0, recencyWeight: 0 };\n1264:     const { semanticWeight, keywordWeight, graphWeight: adaptiveGraphWeight } = fusionWeights;\n1265:     const keywordFusionResults = keywordResults.map((result) => ({\n1266:       ...result,\n1267:       source: 'keyword',\n1268:     }));\n1269:     const fusionLists = lists\n1270:       .filter((list) => list.source !== 'fts' && list.source !== 'bm25')\n1271:       .map((list) => {\n1272:         if (list.source === 'vector') {\n1273:           return { ...list, weight: semanticWeight };\n1274:         }\n1275:         if (list.source === 'graph' && typeof adaptiveGraphWeight === 'number') {\n1276:           return { ...list, weight: adaptiveGraphWeight };\n1277:         }\n1278:         return { ...list };\n1279:       });\n1280: \n1281:     if (keywordFusionResults.length > 0 && keywordWeight > 0) {\n1282:       fusionLists.push({\n1283:         source: 'keyword',\n1284:         results: keywordFusionResults,\n1285:         weight: keywordWeight,\n1286:       });\n1287:     }\n1288: \n1289:     const graphList = fusionLists.find((list) => list.source === 'graph');\n1290:     const vectorList = fusionLists.find((list) => list.source === 'vector');\n1291:     const passthroughLists = fusionLists.filter((list) => list.source !== 'graph' && list.source !== 'vector' && list.source !== 'keyword');\n1292:     const fused = adaptiveEnabled\n1293:       ? (adaptiveFuse as unknown as (\n1294:         semanticResults: Array<Record<string, unknown>>,\n1295:         keywordResults: Array<Record<string, unknown>>,\n1296:         weights: typeof fusionWeights,\n1297:         options: {\n1298:           graphResults?: Array<Record<string, unknown>>;\n1299:           additionalLists?: typeof passthroughLists;\n1300:         },\n1301:       ) => FusionResult[])(\n1302:         (vectorList?.results ?? []) as Array<Record<string, unknown>>,\n1303:         keywordFusionResults,\n1304:         fusionWeights,\n1305:         {\n1306:           graphResults: (graphList?.results ?? []) as Array<Record<string, unknown>>,\n1307:           additionalLists: passthroughLists,\n1308:         },\n1309:       )\n1310:       : fuseResultsMulti(fusionLists);\n1311: \n1312:     const fusedResults = fused.map(toHybridResult).map((row) => {\n1313:       const rowRecord = row as Record<string, unknown>;\n1314:       if (rowRecord.parentMemoryId !== undefined) return row;\n1315:       const normalizedParentMemoryId = rowRecord.parent_id ?? rowRecord.parentId;\n1316:       if (normalizedParentMemoryId === undefined) return row;\n1317:       return {\n1318:         ...row,\n1319:         parentMemoryId: normalizedParentMemoryId,\n1320:       };\n1321:     });\n1322: \n1323:     return {\n1324:       evaluationMode,\n1325:       intent,\n1326:       lists,\n1327:       routeResult,\n1328:       budgetResult,\n1329:       s3meta,\n1330:       vectorEmbeddingCache,\n1331:       fusedResults,\n1332:     };\n1333:   } catch (error: unknown) {\n1334:     const msg = error instanceof Error ? error.message : String(error);\n1335:     console.warn(`[hybrid-search] Enhanced search failed, falling back: ${msg}`);\n1336:     return null;\n1337:   }\n1338: }\n1339: \n1340: async function enrichFusedResults(\n1341:   query: string,\n1342:   execution: HybridFusionExecution,\n1343:   options: HybridSearchOptions = {},\n1344:   initialResults: HybridSearchResult[] = execution.fusedResults\n1345: ): Promise<HybridSearchResult[]> {\n1346:   const {\n1347:     evaluationMode,\n1348:     intent,\n1349:     lists,\n1350:     routeResult,\n1351:     budgetResult,\n1352:     s3meta,\n1353:     vectorEmbeddingCache,\n1354:   } = execution;\n1355:   let fusedHybridResults = initialResults;\n1356:   const limit = options.limit || DEFAULT_LIMIT;\n1357: \n1358:   // -- Aggregation stage: MPAB chunk-to-memory aggregation (after fusion, before state filter) --\n1359:   // When enabled, collapses chunk-level results back to their parent memory\n1360:   // Documents using MPAB scoring (sMax + 0.3 * sum(remaining) / sqrt(N)). This prevents\n1361:   // Multiple chunks from the same document dominating the result list.\n1362:   // MINOR-1 fix: isMpabEnabled() and isDocscoreAggregationEnabled() check the same env var\n1363:   if (isDocscoreAggregationEnabled()) {\n1364:     try {\n1365:       const chunkResults = fusedHybridResults.filter(\n1366:         r => (r as Record<string, unknown>).parentMemoryId != null && (r as Record<string, unknown>).chunkIndex != null\n1367:       );\n1368:       if (chunkResults.length > 0) {\n1369:         const nonChunkResults = fusedHybridResults.filter(\n1370:           r => (r as Record<string, unknown>).parentMemoryId == null || (r as Record<string, unknown>).chunkIndex == null\n1371:         );\n1372:         const collapsed = collapseAndReassembleChunkResults(\n1373:           chunkResults.map(r => ({\n1374:             id: r.id,\n1375:             parentMemoryId: (r as Record<string, unknown>).parentMemoryId as number | string,\n1376:             chunkIndex: (r as Record<string, unknown>).chunkIndex as number,\n1377:             score: r.score,\n1378:           }))\n1379:         );\n1380:         // Merge collapsed chunk results with non-chunk results\n1381:         fusedHybridResults = [\n1382:           ...collapsed.map(c => ({\n1383:             id: c.parentMemoryId,\n1384:             score: c.mpabScore,\n1385:             source: 'mpab' as string,\n1386:             _chunkHits: c._chunkHits,\n1387:           } as HybridSearchResult)),\n1388:           ...nonChunkResults,\n1389:         ];\n1390:       }\n1391:     } catch (_mpabErr: unknown) {\n1392:       // Non-critical — MPAB failure does not block pipeline\n1393:       const msg = _mpabErr instanceof Error ? _mpabErr.message : String(_mpabErr);\n1394:       console.error('[hybrid-search] MPAB error (non-fatal):', msg);\n1395:     }\n1396:   }\n1397: \n1398:   // -- Stage C: Channel Enforcement (SPECKIT_CHANNEL_MIN_REP) --\n1399:   // Ensures every channel that returned results has at least one representative\n1400:   // In the top-k window. Prevents single-channel dominance in fusion output.\n1401:   // When disabled, passes results through unchanged.\n1402:   try {\n1403:     const channelResultSets = new Map<string, Array<{ id: number | string; score: number; [key: string]: unknown }>>();\n1404:     for (const list of lists) {\n1405:       channelResultSets.set(list.source, list.results.map(r => ({\n1406:         ...r,\n1407:         id: r.id,\n1408:         score: typeof (r as Record<string, unknown>).score === 'number'\n1409:           ? (r as Record<string, unknown>).score as number\n1410:           : typeof (r as Record<string, unknown>).similarity === 'number'\n1411:             ? ((r as Record<string, unknown>).similarity as number) / 100\n1412:             : 0,\n1413:       })));\n1414:     }\n1415: \n1416:     const enforcementResult: EnforcementResult = enforceChannelRepresentation(\n1417:       fusedHybridResults.map(r => ({ ...r, source: r.source || 'hybrid' })),\n1418:       channelResultSets,\n1419:       limit,\n1420:     );\n1421: \n1422:     if (enforcementResult.enforcement.applied) {\n1423:       fusedHybridResults = enforcementResult.results as HybridSearchResult[];\n1424:       s3meta.enforcement = {\n1425:         applied: true,\n1426:         promotedCount: enforcementResult.enforcement.promotedCount,\n1427:         underRepresentedChannels: enforcementResult.enforcement.underRepresentedChannels,\n1428:       };\n1429:     }\n1430:   } catch (err: unknown) {\n1431:     // Non-critical — enforcement failure does not block pipeline\n1432:     console.warn('[hybrid-search] channel enforcement failed:', err instanceof Error ? err.message : String(err));\n1433:   }\n1434: \n1435:   // Preserve non-enumerable eval metadata across later array reallocations.\n1436:   const shadowMeta = initialResults as HybridSearchResult[] & ShadowMetaArray;\n1437:   const s4shadowMeta = shadowMeta._s4shadow;\n1438:   const s4attributionMeta = shadowMeta._s4attribution;\n\n(Output capped at 50 KB. Showing lines 1-1438. Use offset=1439 to continue.)\n</content>","metadata":{"preview":"// ───────────────────────────────────────────────────────────────\n// MODULE: Hybrid Search\n// ───────────────────────────────────────────────────────────────\n// Combines vector, FTS, and BM25 search with fallback\n\n// 1. IMPORTS\n\n// Local\nimport { getIndex, isBm25Enabled } from './bm25-index.js';\nimport { fuseResultsMulti } from '@spec-kit/shared/algorithms/rrf-fusion';\nimport { adaptiveFuse, getAdaptiveWeights, isAdaptiveFusionEnabled } from '@spec-kit/shared/algorithms/adaptive-fusion';\nimport { CO_ACTIVATION_CONFIG, spreadActivation } from '../cognitive/co-activation.js';\nimport { applyMMR } from '@spec-kit/shared/algorithms/mmr-reranker';\nimport { INTENT_LAMBDA_MAP, classifyIntent } from './intent-classifier.js';\nimport { fts5Bm25Search } from './sqlite-fts.js';\nimport { DEGREE_CHANNEL_WEIGHT } from './graph-search-fn.js';\nimport {\n  isMMREnabled,\n  isCrossEncoderEnabled,\n  isLocalRerankerEnabled,","truncated":true,"loaded":[]},"title":".opencode/skills/system-spec-kit/mcp_server/lib/search/hybrid-search.ts","time":{"start":1777302585942,"end":1777302585953}}}}
{"type":"text","timestamp":1777302586352,"sessionID":"ses_23083fd6affewEQsIss5qmY5xw","part":{"id":"prt_dcf7d2d300013QbEw3sMZ3LLvH","messageID":"msg_dcf7d18cb001MBjbKJvkl5pZ0A","sessionID":"ses_23083fd6affewEQsIss5qmY5xw","type":"text","text":"Now let me check the current state of those fix files and the main entry points. I'll read the spec and the most recent implementation summary first, then check the pipeline source.","time":{"start":1777302586351,"end":1777302586351}}}
{"type":"step_finish","timestamp":1777302586589,"sessionID":"ses_23083fd6affewEQsIss5qmY5xw","part":{"id":"prt_dcf7d43f0001KauADWRvn77YNK","reason":"tool-calls","snapshot":"0a3aeb45dc521262506a76351523a7b875a9e0dd","messageID":"msg_dcf7d18cb001MBjbKJvkl5pZ0A","sessionID":"ses_23083fd6affewEQsIss5qmY5xw","type":"step-finish","tokens":{"total":61742,"input":2961,"output":200,"reasoning":85,"cache":{"write":0,"read":58496}},"cost":0.006992132}}
{"type":"step_start","timestamp":1777302589637,"sessionID":"ses_23083fd6affewEQsIss5qmY5xw","part":{"id":"prt_dcf7d50c400136HzCwkssJXKWo","messageID":"msg_dcf7d45c7001PNm3gt7tM4Jop4","sessionID":"ses_23083fd6affewEQsIss5qmY5xw","snapshot":"23994651879ba22447c6c4b982b8bc5fe895e8ab","type":"step-start"}}
{"type":"text","timestamp":1777302605635,"sessionID":"ses_23083fd6affewEQsIss5qmY5xw","part":{"id":"prt_dcf7d69cb001aMr1sgFmlbSEJy","messageID":"msg_dcf7d45c7001PNm3gt7tM4Jop4","sessionID":"ses_23083fd6affewEQsIss5qmY5xw","type":"text","text":"Here's the diagnosis:\n\n## Recommended starting point\n\n**Spec folder: `specs/system-spec-kit/023-hybrid-rag-fusion-refinement/007-hybrid-search-null-db-fix/`**\n\nThis documents the exact 0-result hybrid search bug you're working on. The root causes are:\n\n1. **`mcp_server/lib/search/stage4-filter.ts`** — the TRM state filter. The spec records a fix (T016) to remove `minState='WARM'` that was excluding all `UNKNOWN`-state memories. If the bug regressed, this is suspect #1.\n\n2. **`mcp_server/lib/search/hybrid-search.ts:1230`** — the `lists.length === 0` early return → `null`. If all channels produce empty results, the pipeline silently returns null and falls back to legacy `hybridSearch()`. Check whether `activeChannels` has entries and whether `vectorSearchFn`/`db` are actually initialized.\n\n3. **`mcp_server/lib/search/pipeline/stage1-candidate-gen.ts`** — where scope governance lives. The original bug had `isScopeEnforcementEnabled()` defaulting to `true` (opt-out), filtering all candidates. The fix (T012) changed it to opt-in. Verify the dist version matches.\n\n## Quick triage\n\nRun `memory_search(\"CocoIndex\")` and look at the pipeline trace — if `candidateCount: 0` at Stage 1, the issue is upstream (scope/TRM). If candidates exist but Stage 4 filters them all, it's the state filter. The spec at `007-hybrid-search-null-db-fix/tasks.md` has the complete 37-task triage checklist already mapped out.","time":{"start":1777302605633,"end":1777302605633}}}
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