[{"type":"text","text":"## Add filter-only query path to searchUserPrompts method\n*Source: claude-mem://observation/10755*\n\n**Method accepts undefined query and handles dual-path logic with separate parameter arrays for clarity.**\n\nThe searchUserPrompts method has been enhanced with filter-only query support, completing the pattern established in searchObservations and searchSessions. The method signature now accepts optional query parameter. The implementation builds base filter conditions once for project and date range filters, then diverges into two paths. The filter-only path (when query is undefined) validates that at least some filters exist, then queries the user_prompts table directly with a WHERE clause, joining sdk_sessions for project filtering. The FTS5 path rebuilds filter conditions into a separate ftsParams array to avoid parameter ordering conflicts between the two paths. This dual-path approach enables both semantic/keyword search via FTS5 and pure metadata filtering via direct SQLite queries, completing the architectural pattern across all three search methods.\n\n---\nType: feature | Facts: searchUserPrompts signature changed to accept `query: string | undefined` at line 541; Filter conditions built once and shared between filter-only and FTS5 paths at lines 546-563; Filter-only path at lines 566-588 validates filters exist and queries user_prompts table directly; FTS5 path at lines 591-616 rebuilds filter conditions with separate ftsParams array to avoid parameter conflicts; Filter-only path joins sdk_sessions table for project filtering support; Documentation updated to clarify dual-mode operation matching searchObservations and searchSessions patterns | Concepts: what-changed, how-it-works, pattern, gotcha | Files: src/services/sqlite/SessionSearch.ts\n\n---\nDate: 11/17/2025, 11:50:08 PM\n\n---\n\n## Add filter-only query path to searchSessions method\n*Source: claude-mem://observation/10751*\n\n**Method now accepts undefined query and queries session_summaries table directly for metadata-only filtering.**\n\nThe searchSessions method in SessionSearch.ts has been enhanced to support filter-only queries without query text. The method signature now accepts `query: string | undefined`, enabling two distinct code paths. When query is undefined, a new filter-only path (lines 331-352) bypasses FTS5 entirely and queries the session_summaries table directly using metadata filters like project or date range. This path validates that at least some filters exist, throwing an error if both query and filters are missing. When query text is provided, the existing FTS5 search path executes as before. This dual-mode approach allows the system to handle both semantic/keyword search and pure metadata filtering, addressing the architectural requirement that filter-only queries skip text search mechanisms.\n\n---\nType: feature | Facts: searchSessions signature changed to accept `query: string | undefined` at line 327; New filter-only path added at lines 331-352 that bypasses FTS5 when query is undefined; Filter-only path throws error if neither query nor filters provided at line 336; Direct SQLite query on session_summaries table uses WHERE clause built from metadata filters; FTS5 path at line 355 only executes when query text exists; Documentation updated to clarify dual-mode operation: FTS5 fallback vs filter-only direct query | Concepts: what-changed, how-it-works, pattern | Files: src/services/sqlite/SessionSearch.ts\n\n---\nDate: 11/17/2025, 11:49:23 PM\n\n---\n\n## Implemented Filter-Only Query Path in searchObservations Method\n*Source: claude-mem://observation/10749*\n\n**Added conditional logic to route filter-only queries directly to observations table, bypassing FTS5 when query parameter is undefined.**\n\nThe searchObservations method in SessionSearch.ts now supports two distinct query paths based on whether a query string is provided. The method signature was updated to accept query as string | undefined, enabling filter-only queries. When query is undefined, the new filter-only path executes: it builds filter conditions using buildFilterClause, validates that at least some filters exist (throwing an error if neither query nor filters are present), constructs a direct SQL query against the observations table without joining observations_fts, and returns results ordered by the specified criteria (with hasFTS: false passed to buildOrderClause since no FTS5 rank is available). When query text exists, the original FTS5 path executes, now explicitly documented as fallback mode for ChromaDB unavailability. This dual-path implementation allows metadata queries to go directly to SQLite without the overhead of FTS5, while preserving FTS5 functionality for text search when ChromaDB is unavailable.\n\n---\nType: feature | Facts: The searchObservations method signature changed to accept query parameter as string | undefined; Added filter-only code path that executes when query parameter is undefined or empty; Filter-only path queries observations table directly without JOIN to observations_fts table; Filter-only path throws error if no filters are provided, requiring either query or filters; Filter-only path passes false to buildOrderClause to indicate FTS5 rank is unavailable; FTS5 path only executes when query text exists, serving as fallback for ChromaDB unavailability; Both paths reuse the same buildFilterClause method for consistent filter handling | Concepts: how-it-works, pattern, what-changed | Files: src/services/sqlite/SessionSearch.ts\n\n---\nDate: 11/17/2025, 11:48:59 PM\n\n---\n\n## Unified Search API with Catch-All Parameters\n*Source: claude-mem://observation/10681*\n\n**Six public-facing endpoints with backward-compatible granular routing through MCP for comprehensive project searching.**\n\nA comprehensive unified search API was completed with six public-facing endpoints to query project knowledge. The core /api/search endpoint accepts catch-all parameters including type (observations/sessions/prompts), obs_type (decision/bugfix/feature), concepts (concept tags), and files (file path filter), along with common query parameters like format, dateRange, limit, and orderBy. This unified approach can replace all granular endpoints with appropriate query parameters. Backward compatibility is maintained by keeping granular endpoints functional and routing them through the same MCP infrastructure as public endpoints. The implementation was built, synced, and the worker restarted to deploy the changes. A testing phase will follow where common codebase action scenarios are queried, with results saved to organized files for comprehensive analysis of search quality and coverage.\n\n---\nType: feature | Facts: /api/search endpoint supports catch-all parameters: type, obs_type, concepts, files, query, format, project, dateRange, limit, offset, orderBy; Six public endpoints deployed: /api/search, /api/timeline, /api/decisions, /api/changes, /api/how-it-works, /api/contextualize; Granular endpoints like /api/search/observations and /api/search/sessions maintained for backward compatibility; All granular endpoints route through MCP infrastructure alongside public endpoints; Unified search replaces granular endpoints: /api/search?type=observations replaces /api/search/observations, /api/search?obs_type=decision replaces /api/search/by-type?type=decision; Testing strategy involves running common codebase action queries, saving results to organized files by test query title for collective analysis | Concepts: how-it-works, pattern, what-changed, trade-off\n\n---\nDate: 11/17/2025, 9:43:02 PM\n\n---\n\n## Comprehensive Search API Test Suite Executed Successfully\n*Source: claude-mem://observation/10668*\n\n**28 search queries across 11 test categories completed successfully with 17 Chroma semantic search invocations detected.**\n\nA comprehensive automated test suite for the unified search API was executed successfully, validating all search functionality across diverse query patterns. The test script systematically tested 28 different search scenarios organized into 11 functional categories. Semantic queries test conceptual search capabilities, decision and troubleshooting queries validate observation type filtering, file-specific and concept-based queries test targeted filtering, type-filtered queries ensure proper categorization, session and prompt queries validate non-observation search, dedicated endpoint tests verify specialized API routes, timeline tests validate temporal context queries, and multi-parameter tests ensure complex filter combinations work correctly. The 17 Chroma invocations detected in logs indicate that semantic search was appropriately triggered for relevant queries while simpler queries likely used direct filtering. All tests passed without errors, and results were persisted to the test-results/ directory, setting up the next phase where these results will be analyzed collectively to assess search quality and relevance.\n\n---\nType: feature | Facts: Test suite executed 28 total queries organized into 11 categories via test-results/run-search-tests.sh script; Test categories include semantic queries (4), decisions (3), troubleshooting (3), file-specific (3), concept-based (3), type-filtered (3), sessions (1), prompts (1), dedicated endpoints (4), timeline (1), and multi-parameter combinations (2); All 28 tests completed successfully with checkmarks indicating no test failures; Worker logs show 17 instances of \"Chroma returned\" or \"Failed\" patterns, indicating semantic search was triggered 17 times; Test results saved to test-results/ directory for subsequent analysis | Concepts: how-it-works, pattern | Files: test-results/run-search-tests.sh\n\n---\nDate: 11/17/2025, 9:37:52 PM"}]