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Created May 7, 2026 11:43
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Raw JSONL for capy sessionflow-rag v2 design session (b73c8a63) — main + 2 subagents
Raw
agent-a170fb21fbbd73e4e.jsonl
{"parentUuid":null,"isSidechain":true,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","agentId":"a170fb21fbbd73e4e","type":"user","message":{"role":"user","content":"I need to understand the current session parsing and indexing implementation in the capy project at /Users/sergio/Projects/personal/capy.\n\nSpecifically, I need to find and read:\n\n1. `internal/session/parse.go` — The JSONL parser. I need to understand:\n - How it filters messages (what's kept, what's skipped)\n - How it handles `tool_use` blocks (currently only extracts tool names, drops content)\n - How it handles MCP tool calls like `mcp__pal__chat`\n - The `TurnPair` and `ParsedSession` types\n - The progressive snapshot merging logic\n\n2. `internal/session/transcript.go` — How the transcript is built from parsed data\n\n3. `internal/session/chunk.go` — The chunking strategy (window size, overlap)\n\n4. `internal/session/sweep.go` — The sweep orchestration\n\n5. Any test files in `internal/session/` that show what test fixtures look like\n\nFor each file, read the FULL content. I need every detail of the filtering logic, especially around tool_use blocks, tool_result blocks, and MCP tool content.\n\nReport back:\n- The exact filtering rules currently in code (what's kept vs skipped and why)\n- The exact chunking parameters (window size, overlap, max bytes)\n- How tool names are extracted but content is dropped\n- The transcript format\n- Any relevant constants or configuration\n- Line numbers for key filtering decisions\n<context_window_protection>\n <priority_instructions>\n Raw tool output floods your context window. You MUST use capy\n MCP tools to keep raw data in the sandbox.\n </priority_instructions>\n\n <tool_selection_hierarchy>\n 1. GATHER: capy_batch_execute(commands, queries)\n - Primary tool for research. Runs all commands, auto-indexes, and searches.\n - ONE call replaces many individual steps.\n 2. FOLLOW-UP: capy_search(queries: [\"q1\", \"q2\", ...])\n - Use for all follow-up questions. ONE call, many queries.\n 3. PROCESSING: capy_execute(language, code) | capy_execute_file(path, language, code)\n - Use for API calls, log analysis, and data processing.\n </tool_selection_hierarchy>\n\n <forbidden_actions>\n - DO NOT use Bash for commands producing >20 lines of output.\n - For large files (10k+ lines), prefer execute_file when you only need derived answers (counts, patterns). Read IS correct for any file you need to understand, follow as instructions, or edit.\n - DO NOT use capy_index on instruction files (skills, checklists, configs, plugin files). Read them directly — they must be internalized whole, not searched as fragments.\n - DO NOT use WebFetch (use capy_fetch_and_index instead).\n - Bash is ONLY for git/mkdir/rm/mv/navigation.\n </forbidden_actions>\n\n <output_constraints>\n <word_limit>Keep your final response under 500 words.</word_limit>\n <artifact_policy>\n Write artifacts (code, configs, PRDs) to FILES. NEVER return them as inline text.\n Return only: file path + 1-line description.\n </artifact_policy>\n <response_format>\n Your response must be a concise summary:\n - Actions taken (2-3 bullets)\n - File paths created/modified\n - Knowledge base source labels (so parent can search)\n - Key findings\n </response_format>\n </output_constraints>\n\n <capy_commands>\n When the user says \"capy stats\" or asks about context savings:\n → Call the capy_stats MCP tool and display the full output verbatim.\n\n When the user says \"capy doctor\" or asks to diagnose capy:\n → Call the capy_doctor MCP tool and display results as a checklist.\n </capy_commands>\n</context_window_protection>"},"uuid":"91aa80cd-4613-4bf2-aa89-f04ead177f41","timestamp":"2026-05-07T06:47:48.345Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"ba300fae-229f-4b0f-b8c5-a3feb3df2d47","isSidechain":true,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","agentId":"a170fb21fbbd73e4e","type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01GacYHmJ9wES6hAvnHNP4GS","content":[{"type":"tool_reference","tool_name":"mcp__capy__capy_batch_execute"}]}]},"uuid":"6f2372ed-0063-40fe-9d95-f403bc494304","timestamp":"2026-05-07T06:47:50.254Z","sourceToolAssistantUUID":"ba300fae-229f-4b0f-b8c5-a3feb3df2d47","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"985fcde0-9e99-4d0b-9f63-dc1321e83d96","isSidechain":true,"agentId":"a170fb21fbbd73e4e","message":{"model":"claude-sonnet-4-6","id":"msg_01PykC6RDRUnEaZAcXAM6z6f","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YFexKFR1zRERWFQVSCpd1K","name":"mcp__capy__capy_batch_execute","input":{"commands":[{"label":"parse.go","command":"cat -n /Users/sergio/Projects/personal/capy/internal/session/parse.go"},{"label":"transcript.go","command":"cat -n /Users/sergio/Projects/personal/capy/internal/session/transcript.go"},{"label":"chunk.go","command":"cat -n /Users/sergio/Projects/personal/capy/internal/session/chunk.go"},{"label":"sweep.go","command":"cat -n /Users/sergio/Projects/personal/capy/internal/session/sweep.go"},{"label":"test files","command":"find /Users/sergio/Projects/personal/capy/internal/session -name '*_test.go' | xargs ls -la 2>/dev/null; find /Users/sergio/Projects/personal/capy/internal/session -name '*.jsonl' | head -5"}],"queries":["filtering rules tool_use tool_result kept skipped","MCP tool calls mcp__ tool name extraction content drop","TurnPair ParsedSession types struct definition","snapshot merging progressive merge logic","chunking parameters window size overlap max bytes constants","transcript format build render output","sweep orchestration index session","test fixtures testdata JSONL examples"]},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1956,"cache_read_input_tokens":9053,"output_tokens":422,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1956},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011Canm5MqodnjL8XFpqXeya","attributionAgent":"Explore","type":"assistant","uuid":"76c0e8d6-9065-469f-9764-9e8a566d639a","timestamp":"2026-05-07T06:47:56.963Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"76c0e8d6-9065-469f-9764-9e8a566d639a","isSidechain":true,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","agentId":"a170fb21fbbd73e4e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YFexKFR1zRERWFQVSCpd1K","type":"tool_result","content":"<persisted-output>\nOutput too large (58.3KB). Full output saved to: /Users/sergio/.claude/projects/-Users-sergio-Projects-personal-capy/b73c8a63-0710-494e-9748-1bcce18ddfef/tool-results/toolu_01YFexKFR1zRERWFQVSCpd1K.json\n\nPreview (first 2KB):\n[\n {\n \"type\": \"text\",\n \"text\": \"Executed 5 commands (1058 lines, 35.5KB). Indexed 5 sections. Searched 8 queries.\\n\\n## Indexed Sections\\n\\n- parse.go (14.6KB)\\n- transcript.go (4.0KB)\\n- chunk.go (4.2KB)\\n- sweep.go (12.1KB)\\n- test files (0.5KB)\\n\\n## filtering rules tool_use tool_result kept skipped\\n\\n### parse.go\\n1\\tpackage session\\n 2\\t\\n 3\\timport (\\n 4\\t\\t\\\"bufio\\\"\\n 5\\t\\t\\\"encoding/json\\\"\\n 6\\t\\t\\\"fmt\\\"\\n 7\\t\\t\\\"log/slog\\\"\\n 8\\t\\t\\\"os\\\"\\n 9\\t\\t\\\"path/filepath\\\"\\n 10\\t\\t\\\"regexp\\\"\\n 11\\t\\t\\\"strings\\\"\\n 12\\t\\t\\\"time\\\"\\n 13\\t)\\n 14\\t\\n 15\\t// ParsedSession holds the filtered, structured content of a Claude Code session.\\n 16\\ttype ParsedSession struct {\\n 17\\t\\tSessionID string\\n 18\\t\\tStartTime time.Time\\n 19\\t\\tTurnPairs []TurnPair\\n 20\\t\\tTotalAssistantChars int\\n 21\\t}\\n 22\\t\\n 23\\t// TurnPair is one human→assistant exchange…\\n\\n…n intermediate representation after JSONL deduplication.\\n 77\\ttype parsedMessage struct {\\n 78\\t\\tlineType string // \\\"user\\\", \\\"assistant\\\", \\\"away_summary\\\"\\n 79\\t\\ttimestamp time.Time\\n 80\\t\\tsessionID string\\n 81\\t\\ttext string // extracted human/assistant text\\n 82\\t\\ttoolNames []string // tool_use names (assistant only)\\n 83\\t}\\n 84\\t\\n 85\\t// ParseSession reads a Claude Code session JSONL file and returns structured\\n 86\\t// content with noise filtered out. Malformed lines are logged and skipped.\\n 87\\tfunc ParseSession(path string) (*ParsedSession, error) {\\n 88\\t\\tf, err := os.Open(path)\\n 89\\t\\tif err != nil {\\n 90\\t\\t\\treturn nil, fmt.Errorf(\\\"opening session file: %w\\\", err)\\n 91\\t\\t}\\n 92\\t\\tdefer f.Close()\\n 93\\t\\n 94\\t\\tsessionID := strings.TrimSuffix(filepath.Base(path), \\\".j…\\n\\n…1024), 16*1024*1024)\\n 112\\t\\tlineNum := 0\\n 113\\t\\tfor scanner.Scan() {\\n 114\\t\\t\\tlineNum++\\n 115\\t\\t\\tdata := scanner.Bytes()\\n 116\\t\\t\\tif len(data) == 0 \n...\n</persisted-output>"}]},"uuid":"c6c2f2fe-1662-414a-91f8-b1733ba61105","timestamp":"2026-05-07T06:47:57.431Z","sourceToolAssistantUUID":"76c0e8d6-9065-469f-9764-9e8a566d639a","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"c6c2f2fe-1662-414a-91f8-b1733ba61105","isSidechain":true,"agentId":"a170fb21fbbd73e4e","message":{"model":"claude-sonnet-4-6","id":"msg_01SwcCJZhA17eDPiwdMGFQw1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0199tpvYFPV6TVFacThQPaKT","name":"ToolSearch","input":{"query":"select:mcp__capy__capy_search","max_results":1},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1322,"cache_read_input_tokens":11009,"output_tokens":83,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1322},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011Canm67bai8vzk7SiDD3cS","attributionAgent":"Explore","type":"assistant","uuid":"d27b8ec8-ecc2-48e9-a4ea-804f7cd4be77","timestamp":"2026-05-07T06:48:04.334Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"712daf51-ff97-40e5-b1d9-0383954a4630","isSidechain":true,"agentId":"a170fb21fbbd73e4e","message":{"model":"claude-sonnet-4-6","id":"msg_012rkJhZrkhzctUK5Sudzr3P","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me read the files directly since they're the right size for direct reading."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":507,"cache_read_input_tokens":12331,"cache_creation":{"ephemeral_5m_input_tokens":507,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011Canm6QSMcy4LWJKYpC6Xr","attributionAgent":"Explore","type":"assistant","uuid":"ad9a4ef5-56d8-4589-b08b-5b32f9b7a85a","timestamp":"2026-05-07T06:48:06.876Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"ad9a4ef5-56d8-4589-b08b-5b32f9b7a85a","isSidechain":true,"agentId":"a170fb21fbbd73e4e","message":{"model":"claude-sonnet-4-6","id":"msg_012rkJhZrkhzctUK5Sudzr3P","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GYTf3DaJ8aUTmv5JRZ417d","name":"Read","input":{"file_path":"/Users/sergio/Projects/personal/capy/internal/session/parse.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":507,"cache_read_input_tokens":12331,"cache_creation":{"ephemeral_5m_input_tokens":507,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011Canm6QSMcy4LWJKYpC6Xr","attributionAgent":"Explore","type":"assistant","uuid":"51fd9392-7835-4622-9721-0793494c31a1","timestamp":"2026-05-07T06:48:07.246Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"51fd9392-7835-4622-9721-0793494c31a1","isSidechain":true,"agentId":"a170fb21fbbd73e4e","message":{"model":"claude-sonnet-4-6","id":"msg_012rkJhZrkhzctUK5Sudzr3P","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XRNVp1obBy7mmxj1GBgQPm","name":"Read","input":{"file_path":"/Users/sergio/Projects/personal/capy/internal/session/transcript.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":507,"cache_read_input_tokens":12331,"output_tokens":197,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":507},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011Canm6QSMcy4LWJKYpC6Xr","attributionAgent":"Explore","type":"assistant","uuid":"bdc9fd63-b482-4ffc-89cd-08f8eb1cd2e7","timestamp":"2026-05-07T06:48:07.542Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"bdc9fd63-b482-4ffc-89cd-08f8eb1cd2e7","isSidechain":true,"agentId":"a170fb21fbbd73e4e","message":{"model":"claude-sonnet-4-6","id":"msg_012rkJhZrkhzctUK5Sudzr3P","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FbfKvYPwVvDoTCVZW3jbhY","name":"Read","input":{"file_path":"/Users/sergio/Projects/personal/capy/internal/session/chunk.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":507,"cache_read_input_tokens":12331,"output_tokens":197,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":507},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011Canm6QSMcy4LWJKYpC6Xr","attributionAgent":"Explore","type":"assistant","uuid":"8bc8fb40-a1d0-4f0c-b22d-e2d3b0e2198b","timestamp":"2026-05-07T06:48:07.553Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"bdc9fd63-b482-4ffc-89cd-08f8eb1cd2e7","isSidechain":true,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","agentId":"a170fb21fbbd73e4e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XRNVp1obBy7mmxj1GBgQPm","type":"tool_result","content":"1\tpackage session\n2\t\n3\timport (\n4\t\t\"fmt\"\n5\t\t\"strings\"\n6\t)\n7\t\n8\t// TranscriptResult holds the plaintext transcript and a per-turn-pair byte offset\n9\t// map, so that chunking can slice by turn pair boundaries without re-parsing.\n10\ttype TranscriptResult struct {\n11\t\tText string\n12\t\tOffsets []TurnOffset\n13\t}\n14\t\n15\t// TurnOffset records the byte range [Start, End) of a turn pair in the transcript.\n16\ttype TurnOffset struct {\n17\t\tStart int\n18\t\tEnd int\n19\t}\n20\t\n21\t// BuildTranscript converts a ParsedSession into a plaintext transcript string\n22\t// with Human:/Assistant: format, [Tools: ...] lines, [Session summary: ...] entries,\n23\t// and --- Subagent --- delimiters. Consecutive subagent turns from the same agent\n24\t// are grouped under a single delimiter block.\n25\t//\n26\t// Returns the transcript text and per-turn-pair byte offsets so chunking can\n27\t// slice content by turn pair boundaries without re-serializing.\n28\tfunc BuildTranscript(s *ParsedSession) TranscriptResult {\n29\t\tvar b strings.Builder\n30\t\toffsets := make([]TurnOffset, len(s.TurnPairs))\n31\t\tn := len(s.TurnPairs)\n32\t\n33\t\tfor i := 0; i < n; {\n34\t\t\tif i > 0 {\n35\t\t\t\tb.WriteByte('\\n')\n36\t\t\t}\n37\t\n38\t\t\ttp := s.TurnPairs[i]\n39\t\n40\t\t\tif tp.IsSubagent {\n41\t\t\t\ti = writeSubagentBlock(&b, s.TurnPairs, i, offsets)\n42\t\t\t\tcontinue\n43\t\t\t}\n44\t\n45\t\t\tstart := b.Len()\n46\t\n47\t\t\tif tp.HumanText == \"\" && tp.AssistantText != \"\" {\n48\t\t\t\tfmt.Fprintf(&b, \"[Session summary: %s]\\n\", tp.AssistantText)\n49\t\t\t} else if tp.HumanText == \"\" && tp.AssistantText == \"\" {\n50\t\t\t\ti++\n51\t\t\t\toffsets[i-1] = TurnOffset{Start: start, End: start}\n52\t\t\t\tcontinue\n53\t\t\t} else {\n54\t\t\t\tfmt.Fprintf(&b, \"Human: %s\\n\", tp.HumanText)\n55\t\t\t\tfmt.Fprintf(&b, \"Assistant: %s\\n\", tp.AssistantText)\n56\t\t\t\tif len(tp.ToolNames) > 0 {\n57\t\t\t\t\tfmt.Fprintf(&b, \"[Tools: %s]\\n\", strings.Join(tp.ToolNames, \", \"))\n58\t\t\t\t}\n59\t\t\t}\n60\t\n61\t\t\toffsets[i] = TurnOffset{Start: start, End: b.Len()}\n62\t\t\ti++\n63\t\t}\n64\t\n65\t\treturn TranscriptResult{Text: b.String(), Offsets: offsets}\n66\t}\n67\t\n68\t// writeSubagentBlock writes a group of consecutive subagent turns sharing the same\n69\t// SubagentType+SubagentDesc under a single delimiter pair. Records offsets for each\n70\t// turn. Returns the index of the first turn pair after the block.\n71\tfunc writeSubagentBlock(b *strings.Builder, pairs []TurnPair, start int, offsets []TurnOffset) int {\n72\t\ttp := pairs[start]\n73\t\tagentType := tp.SubagentType\n74\t\tif agentType == \"\" {\n75\t\t\tagentType = \"Agent\"\n76\t\t}\n77\t\tdesc := tp.SubagentDesc\n78\t\tif desc == \"\" {\n79\t\t\tdesc = \"subagent task\"\n80\t\t}\n81\t\n82\t\tblockStart := b.Len()\n83\t\tfmt.Fprintf(b, \"--- Subagent: %s — %q ---\\n\", agentType, desc)\n84\t\n85\t\ti := start\n86\t\tfor i < len(pairs) && pairs[i].IsSubagent &&\n87\t\t\tpairs[i].SubagentType == tp.SubagentType &&\n88\t\t\tpairs[i].SubagentDesc == tp.SubagentDesc {\n89\t\n90\t\t\tturnStart := b.Len()\n91\t\t\tif i > start {\n92\t\t\t\tb.WriteByte('\\n')\n93\t\t\t\tturnStart = b.Len()\n94\t\t\t}\n95\t\n96\t\t\tfmt.Fprintf(b, \"Human: %s\\n\", pairs[i].HumanText)\n97\t\t\tfmt.Fprintf(b, \"Assistant: %s\\n\", pairs[i].AssistantText)\n98\t\t\tif len(pairs[i].ToolNames) > 0 {\n99\t\t\t\tfmt.Fprintf(b, \"[Tools: %s]\\n\", strings.Join(pairs[i].ToolNames, \", \"))\n100\t\t\t}\n101\t\n102\t\t\t// For the first turn in the group, include the opening delimiter.\n103\t\t\tif i == start {\n104\t\t\t\toffsets[i] = TurnOffset{Start: blockStart, End: b.Len()}\n105\t\t\t} else {\n106\t\t\t\toffsets[i] = TurnOffset{Start: turnStart, End: b.Len()}\n107\t\t\t}\n108\t\t\ti++\n109\t\t}\n110\t\n111\t\tb.WriteString(\"--- End subagent ---\\n\")\n112\t\n113\t\t// Extend the last turn's offset to include the closing delimiter.\n114\t\tif i > start {\n115\t\t\toffsets[i-1] = TurnOffset{Start: offsets[i-1].Start, End: b.Len()}\n116\t\t}\n117\t\n118\t\treturn i\n119\t}\n120\t"}]},"uuid":"65d0ce91-6a41-4ef8-b6c8-d7db93f59ed0","timestamp":"2026-05-07T06:48:07.615Z","sourceToolAssistantUUID":"bdc9fd63-b482-4ffc-89cd-08f8eb1cd2e7","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"8bc8fb40-a1d0-4f0c-b22d-e2d3b0e2198b","isSidechain":true,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","agentId":"a170fb21fbbd73e4e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FbfKvYPwVvDoTCVZW3jbhY","type":"tool_result","content":"1\tpackage session\n2\t\n3\timport (\n4\t\t\"fmt\"\n5\t\t\"maps\"\n6\t\t\"slices\"\n7\t\t\"strings\"\n8\t\n9\t\t\"github.com/serpro69/capy/internal/store\"\n10\t)\n11\t\n12\tconst (\n13\t\tdefaultWindowSize = 4\n14\t\tdefaultOverlap = 1\n15\t)\n16\t\n17\t// ChunkSession splits a parsed session into store-ready chunks using a sliding\n18\t// window over turn pairs. Titles are built from structured ParsedSession data\n19\t// (timestamps, tool names, subagent info), not parsed from transcript text.\n20\t//\n21\t// The transcript parameter must be the result of BuildTranscript — its Offsets\n22\t// are used to slice content by turn pair boundaries.\n23\t// maxBytes controls the maximum chunk size; 0 uses store.MaxChunkBytes.\n24\t//\n25\t// The caller is responsible for sanitizing the transcript text (via sanitize.StripSecrets)\n26\t// before calling this function if the content will be indexed.\n27\tfunc ChunkSession(session *ParsedSession, tr TranscriptResult, maxBytes int) []store.Chunk {\n28\t\tif maxBytes <= 0 {\n29\t\t\tmaxBytes = store.MaxChunkBytes\n30\t\t}\n31\t\n32\t\tpairs := session.TurnPairs\n33\t\tif len(pairs) == 0 {\n34\t\t\treturn nil\n35\t\t}\n36\t\n37\t\ttranscript := tr.Text\n38\t\n39\t\tif len(transcript) <= maxBytes {\n40\t\t\ttitle := buildChunkTitle(session, 0, len(pairs)-1)\n41\t\t\treturn []store.Chunk{{\n42\t\t\t\tTitle: title,\n43\t\t\t\tContent: strings.TrimSpace(transcript),\n44\t\t\t\tHasCode: store.ChunkHasCode(transcript),\n45\t\t\t}}\n46\t\t}\n47\t\n48\t\tvar chunks []store.Chunk\n49\t\tstep := max(defaultWindowSize-defaultOverlap, 1)\n50\t\n51\t\tfor start := 0; start < len(pairs); start += step {\n52\t\t\tend := min(start+defaultWindowSize-1, len(pairs)-1)\n53\t\n54\t\t\tcontent := extractWindowContent(transcript, tr.Offsets, start, end)\n55\t\t\tcontent = strings.TrimSpace(content)\n56\t\t\tif content == \"\" {\n57\t\t\t\tcontinue\n58\t\t\t}\n59\t\n60\t\t\ttitle := buildChunkTitle(session, start, end)\n61\t\n62\t\t\tif len(content) > maxBytes {\n63\t\t\t\tchunks = append(chunks, store.SplitOversized(content, title, maxBytes)...)\n64\t\t\t} else {\n65\t\t\t\tchunks = append(chunks, store.Chunk{\n66\t\t\t\t\tTitle: title,\n67\t\t\t\t\tContent: content,\n68\t\t\t\t\tHasCode: store.ChunkHasCode(content),\n69\t\t\t\t})\n70\t\t\t}\n71\t\n72\t\t\tif end >= len(pairs)-1 {\n73\t\t\t\tbreak\n74\t\t\t}\n75\t\t}\n76\t\n77\t\treturn chunks\n78\t}\n79\t\n80\t// extractWindowContent returns the transcript text for turn pairs [start, end].\n81\tfunc extractWindowContent(transcript string, offsets []TurnOffset, start, end int) string {\n82\t\tif start >= len(offsets) {\n83\t\t\treturn \"\"\n84\t\t}\n85\t\tend = min(end, len(offsets)-1)\n86\t\tlo := offsets[start].Start\n87\t\thi := min(offsets[end].End, len(transcript))\n88\t\treturn transcript[lo:hi]\n89\t}\n90\t\n91\t// buildChunkTitle builds a BM25-friendly title from structured session data.\n92\t// Format: \"Session <datetime> | Turns <start>-<end> | Tools: <names>\"\n93\t// With subagent: \"Session <datetime> | Turns <start>-<end> | Subagent: <type> | Tools: <names>\"\n94\tfunc buildChunkTitle(session *ParsedSession, start, end int) string {\n95\t\tvar b strings.Builder\n96\t\n97\t\tts := session.StartTime.UTC().Format(\"2006-01-02T15:04:05Z\")\n98\t\tfmt.Fprintf(&b, \"Session %s | Turns %d-%d\", ts, start+1, end+1)\n99\t\n100\t\tsubagentTypes := make(map[string]bool)\n101\t\ttoolSet := make(map[string]bool)\n102\t\tvar toolOrder []string\n103\t\n104\t\tfor i := start; i <= end && i < len(session.TurnPairs); i++ {\n105\t\t\ttp := session.TurnPairs[i]\n106\t\t\tif tp.IsSubagent && tp.SubagentType != \"\" {\n107\t\t\t\tsubagentTypes[tp.SubagentType] = true\n108\t\t\t}\n109\t\t\tfor _, name := range tp.ToolNames {\n110\t\t\t\tif !toolSet[name] {\n111\t\t\t\t\ttoolSet[name] = true\n112\t\t\t\t\ttoolOrder = append(toolOrder, name)\n113\t\t\t\t}\n114\t\t\t}\n115\t\t}\n116\t\n117\t\tif len(subagentTypes) > 0 {\n118\t\t\ttypes := slices.Sorted(maps.Keys(subagentTypes))\n119\t\t\tfmt.Fprintf(&b, \" | Subagent: %s\", strings.Join(types, \", \"))\n120\t\t}\n121\t\n122\t\tif len(toolOrder) > 0 {\n123\t\t\tfmt.Fprintf(&b, \" | Tools: %s\", strings.Join(toolOrder, \", \"))\n124\t\t}\n125\t\n126\t\treturn b.String()\n127\t}\n128\t"}]},"uuid":"851578ad-4d2a-48b5-9e99-2bc9562fee29","timestamp":"2026-05-07T06:48:07.616Z","sourceToolAssistantUUID":"8bc8fb40-a1d0-4f0c-b22d-e2d3b0e2198b","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"51fd9392-7835-4622-9721-0793494c31a1","isSidechain":true,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","agentId":"a170fb21fbbd73e4e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GYTf3DaJ8aUTmv5JRZ417d","type":"tool_result","content":"1\tpackage session\n2\t\n3\timport (\n4\t\t\"bufio\"\n5\t\t\"encoding/json\"\n6\t\t\"fmt\"\n7\t\t\"log/slog\"\n8\t\t\"os\"\n9\t\t\"path/filepath\"\n10\t\t\"regexp\"\n11\t\t\"strings\"\n12\t\t\"time\"\n13\t)\n14\t\n15\t// ParsedSession holds the filtered, structured content of a Claude Code session.\n16\ttype ParsedSession struct {\n17\t\tSessionID string\n18\t\tStartTime time.Time\n19\t\tTurnPairs []TurnPair\n20\t\tTotalAssistantChars int\n21\t}\n22\t\n23\t// TurnPair is one human→assistant exchange, optionally with tool usage metadata.\n24\ttype TurnPair struct {\n25\t\tHumanText string\n26\t\tAssistantText string\n27\t\tToolNames []string\n28\t\tIsSubagent bool\n29\t\tSubagentType string\n30\t\tSubagentDesc string\n31\t}\n32\t\n33\t// IsIndexable returns true if the session has enough content to be worth indexing.\n34\t// Requires at least 2 non-subagent turn pairs and 200+ chars of assistant text.\n35\tfunc (s *ParsedSession) IsIndexable() bool {\n36\t\tmainPairs := 0\n37\t\tfor _, tp := range s.TurnPairs {\n38\t\t\tif !tp.IsSubagent {\n39\t\t\t\tmainPairs++\n40\t\t\t}\n41\t\t}\n42\t\treturn mainPairs >= 2 && s.TotalAssistantChars >= 200\n43\t}\n44\t\n45\tvar (\n46\t\tsysReminderRe = regexp.MustCompile(`(?s)<system-reminder>.*?</system-reminder>`)\n47\t\tnoiseTagRe = regexp.MustCompile(`(?s)<local-command-caveat>.*?</local-command-caveat>|<local-command-stdout>.*?</local-command-stdout>|<command-name>.*?</command-name>|<command-message>.*?</command-message>|<command-args>.*?</command-args>`)\n48\t)\n49\t\n50\t// jsonlLine is the top-level structure of each JSONL entry.\n51\ttype jsonlLine struct {\n52\t\tType string `json:\"type\"`\n53\t\tSubtype string `json:\"subtype\"`\n54\t\tUUID string `json:\"uuid\"`\n55\t\tTimestamp string `json:\"timestamp\"`\n56\t\tSessionID string `json:\"sessionId\"`\n57\t\tContent string `json:\"content\"`\n58\t\tMessage json.RawMessage `json:\"message\"`\n59\t}\n60\t\n61\t// jsonlMessage is the nested message object within user/assistant entries.\n62\ttype jsonlMessage struct {\n63\t\tID string `json:\"id\"`\n64\t\tRole string `json:\"role\"`\n65\t\tContent json.RawMessage `json:\"content\"`\n66\t}\n67\t\n68\t// contentBlock represents a single block within message.content arrays.\n69\ttype contentBlock struct {\n70\t\tType string `json:\"type\"`\n71\t\tText string `json:\"text\"`\n72\t\tName string `json:\"name\"`\n73\t\tID string `json:\"id\"`\n74\t}\n75\t\n76\t// parsedMessage is an intermediate representation after JSONL deduplication.\n77\ttype parsedMessage struct {\n78\t\tlineType string // \"user\", \"assistant\", \"away_summary\"\n79\t\ttimestamp time.Time\n80\t\tsessionID string\n81\t\ttext string // extracted human/assistant text\n82\t\ttoolNames []string // tool_use names (assistant only)\n83\t}\n84\t\n85\t// ParseSession reads a Claude Code session JSONL file and returns structured\n86\t// content with noise filtered out. Malformed lines are logged and skipped.\n87\tfunc ParseSession(path string) (*ParsedSession, error) {\n88\t\tf, err := os.Open(path)\n89\t\tif err != nil {\n90\t\t\treturn nil, fmt.Errorf(\"opening session file: %w\", err)\n91\t\t}\n92\t\tdefer f.Close()\n93\t\n94\t\tsessionID := strings.TrimSuffix(filepath.Base(path), \".jsonl\")\n95\t\n96\t\t// First pass: parse all lines and merge assistant progressive snapshots\n97\t\t// by message.id. Claude Code writes one content block per JSONL line\n98\t\t// (non-cumulative), so we collect all blocks sharing the same message.id.\n99\t\ttype rawEntry struct {\n100\t\t\tline jsonlLine\n101\t\t\tmsgID string // message.id for assistant merge; uuid for others\n102\t\t\trawMsg jsonlMessage\n103\t\t\thasMsgP bool // whether Message field was present and parsed\n104\t\t\tmergedBlocks []contentBlock // accumulated blocks from all progressive snapshots\n105\t\t}\n106\t\n107\t\tvar entries []rawEntry\n108\t\tassistantLastIdx := make(map[string]int) // message.id → index in entries\n109\t\n110\t\tscanner := bufio.NewScanner(f)\n111\t\tscanner.Buffer(make([]byte, 0, 256*1024), 16*1024*1024)\n112\t\tlineNum := 0\n113\t\tfor scanner.Scan() {\n114\t\t\tlineNum++\n115\t\t\tdata := scanner.Bytes()\n116\t\t\tif len(data) == 0 {\n117\t\t\t\tcontinue\n118\t\t\t}\n119\t\n120\t\t\tvar line jsonlLine\n121\t\t\tif err := json.Unmarshal(data, &line); err != nil {\n122\t\t\t\tslog.Warn(\"skipping malformed JSONL line\", \"file\", path, \"line\", lineNum, \"error\", err)\n123\t\t\t\tcontinue\n124\t\t\t}\n125\t\n126\t\t\tentry := rawEntry{line: line}\n127\t\n128\t\t\tif len(line.Message) > 0 && string(line.Message) != \"null\" {\n129\t\t\t\tvar msg jsonlMessage\n130\t\t\t\tif err := json.Unmarshal(line.Message, &msg); err == nil {\n131\t\t\t\t\tentry.rawMsg = msg\n132\t\t\t\t\tentry.hasMsgP = true\n133\t\t\t\t\tif line.Type == \"\" && msg.Role != \"\" {\n134\t\t\t\t\t\tline.Type = msg.Role\n135\t\t\t\t\t\tentry.line.Type = msg.Role\n136\t\t\t\t\t}\n137\t\t\t\t}\n138\t\t\t}\n139\t\n140\t\t\tswitch line.Type {\n141\t\t\tcase \"user\":\n142\t\t\t\tentry.msgID = line.UUID\n143\t\t\t\tentries = append(entries, entry)\n144\t\t\tcase \"assistant\":\n145\t\t\t\tmsgID := entry.rawMsg.ID\n146\t\t\t\tif msgID == \"\" {\n147\t\t\t\t\tmsgID = line.UUID\n148\t\t\t\t}\n149\t\t\t\tentry.msgID = msgID\n150\t\n151\t\t\t\tvar blocks []contentBlock\n152\t\t\t\tif entry.hasMsgP && len(entry.rawMsg.Content) > 0 {\n153\t\t\t\t\tif err := json.Unmarshal(entry.rawMsg.Content, &blocks); err != nil {\n154\t\t\t\t\t\tslog.Warn(\"skipping malformed assistant content\", \"file\", path, \"line\", lineNum, \"error\", err)\n155\t\t\t\t\t}\n156\t\t\t\t}\n157\t\n158\t\t\t\tif prevIdx, exists := assistantLastIdx[msgID]; exists {\n159\t\t\t\t\ttarget := &entries[prevIdx]\n160\t\t\t\t\tfor _, nb := range blocks {\n161\t\t\t\t\t\tdup := false\n162\t\t\t\t\t\tfor _, eb := range target.mergedBlocks {\n163\t\t\t\t\t\t\tif eb.Type == nb.Type && eb.Text == nb.Text && eb.Name == nb.Name && eb.ID == nb.ID {\n164\t\t\t\t\t\t\t\tdup = true\n165\t\t\t\t\t\t\t\tbreak\n166\t\t\t\t\t\t\t}\n167\t\t\t\t\t\t}\n168\t\t\t\t\t\tif !dup {\n169\t\t\t\t\t\t\ttarget.mergedBlocks = append(target.mergedBlocks, nb)\n170\t\t\t\t\t\t}\n171\t\t\t\t\t}\n172\t\t\t\t} else {\n173\t\t\t\t\tentry.mergedBlocks = blocks\n174\t\t\t\t\tentry.rawMsg.Content = nil\n175\t\t\t\t\tassistantLastIdx[msgID] = len(entries)\n176\t\t\t\t\tentries = append(entries, entry)\n177\t\t\t\t}\n178\t\t\tcase \"system\":\n179\t\t\t\tif line.Subtype == \"away_summary\" {\n180\t\t\t\t\tentry.msgID = line.UUID\n181\t\t\t\t\tentries = append(entries, entry)\n182\t\t\t\t}\n183\t\t\t}\n184\t\t}\n185\t\tif err := scanner.Err(); err != nil {\n186\t\t\tslog.Warn(\"scanner error, processing lines read so far\", \"file\", path, \"line\", lineNum, \"error\", err)\n187\t\t}\n188\t\n189\t\t// Second pass: extract text from deduplicated entries and build messages.\n190\t\tvar messages []parsedMessage\n191\t\tvar startTime time.Time\n192\t\tfoundSessionID := sessionID\n193\t\n194\t\tfor _, entry := range entries {\n195\t\t\tts, _ := time.Parse(time.RFC3339Nano, entry.line.Timestamp)\n196\t\t\tif entry.line.SessionID != \"\" {\n197\t\t\t\tfoundSessionID = entry.line.SessionID\n198\t\t\t}\n199\t\n200\t\t\tswitch entry.line.Type {\n201\t\t\tcase \"user\":\n202\t\t\t\tif !entry.hasMsgP {\n203\t\t\t\t\tcontinue\n204\t\t\t\t}\n205\t\t\t\ttext := extractUserText(entry.rawMsg.Content)\n206\t\t\t\tif text == \"\" {\n207\t\t\t\t\tcontinue\n208\t\t\t\t}\n209\t\t\t\tif startTime.IsZero() && !ts.IsZero() {\n210\t\t\t\t\tstartTime = ts\n211\t\t\t\t}\n212\t\t\t\tmessages = append(messages, parsedMessage{\n213\t\t\t\t\tlineType: \"user\",\n214\t\t\t\t\ttimestamp: ts,\n215\t\t\t\t\tsessionID: foundSessionID,\n216\t\t\t\t\ttext: text,\n217\t\t\t\t})\n218\t\n219\t\t\tcase \"assistant\":\n220\t\t\t\tif len(entry.mergedBlocks) == 0 {\n221\t\t\t\t\tcontinue\n222\t\t\t\t}\n223\t\t\t\ttext, toolNames := extractAssistantBlocks(entry.mergedBlocks)\n224\t\t\t\tif text == \"\" && len(toolNames) == 0 {\n225\t\t\t\t\tcontinue\n226\t\t\t\t}\n227\t\t\t\tmessages = append(messages, parsedMessage{\n228\t\t\t\t\tlineType: \"assistant\",\n229\t\t\t\t\ttimestamp: ts,\n230\t\t\t\t\tsessionID: foundSessionID,\n231\t\t\t\t\ttext: text,\n232\t\t\t\t\ttoolNames: toolNames,\n233\t\t\t\t})\n234\t\n235\t\t\tcase \"system\":\n236\t\t\t\tif entry.line.Subtype == \"away_summary\" && entry.line.Content != \"\" {\n237\t\t\t\t\tmessages = append(messages, parsedMessage{\n238\t\t\t\t\t\tlineType: \"away_summary\",\n239\t\t\t\t\t\ttimestamp: ts,\n240\t\t\t\t\t\tsessionID: foundSessionID,\n241\t\t\t\t\t\ttext: strings.TrimSpace(entry.line.Content),\n242\t\t\t\t\t})\n243\t\t\t\t}\n244\t\t\t}\n245\t\t}\n246\t\n247\t\t// Third pass: build turn pairs from sequential messages.\n248\t\tturnPairs, totalChars := buildTurnPairs(messages)\n249\t\n250\t\treturn &ParsedSession{\n251\t\t\tSessionID: foundSessionID,\n252\t\t\tStartTime: startTime,\n253\t\t\tTurnPairs: turnPairs,\n254\t\t\tTotalAssistantChars: totalChars,\n255\t\t}, nil\n256\t}\n257\t\n258\t// extractUserText gets human text from a user message's content field.\n259\t// Content can be a JSON string or an array of content blocks.\n260\t// Returns empty string for tool-result-only messages, slash commands, and noise.\n261\tfunc extractUserText(raw json.RawMessage) string {\n262\t\tif len(raw) == 0 {\n263\t\t\treturn \"\"\n264\t\t}\n265\t\n266\t\t// Try string first (most common for actual human input).\n267\t\tvar s string\n268\t\tif err := json.Unmarshal(raw, &s); err == nil {\n269\t\t\treturn cleanUserText(s)\n270\t\t}\n271\t\n272\t\t// Array of content blocks.\n273\t\tvar blocks []contentBlock\n274\t\tif err := json.Unmarshal(raw, &blocks); err != nil {\n275\t\t\treturn \"\"\n276\t\t}\n277\t\n278\t\tvar texts []string\n279\t\thasText := false\n280\t\tfor _, b := range blocks {\n281\t\t\tif b.Type == \"text\" {\n282\t\t\t\thasText = true\n283\t\t\t\tcleaned := cleanUserText(b.Text)\n284\t\t\t\tif cleaned != \"\" {\n285\t\t\t\t\ttexts = append(texts, cleaned)\n286\t\t\t\t}\n287\t\t\t}\n288\t\t}\n289\t\n290\t\tif !hasText {\n291\t\t\treturn \"\" // tool_result-only message\n292\t\t}\n293\t\treturn strings.Join(texts, \"\\n\")\n294\t}\n295\t\n296\t// cleanUserText strips noise tags from user message text.\n297\tfunc cleanUserText(text string) string {\n298\t\ttext = sysReminderRe.ReplaceAllString(text, \"\")\n299\t\ttext = noiseTagRe.ReplaceAllString(text, \"\")\n300\t\ttext = strings.TrimSpace(text)\n301\t\treturn text\n302\t}\n303\t\n304\t// extractAssistantBlocks extracts text and tool names from pre-parsed content blocks.\n305\tfunc extractAssistantBlocks(blocks []contentBlock) (string, []string) {\n306\t\tvar texts []string\n307\t\tvar toolNames []string\n308\t\tfor _, b := range blocks {\n309\t\t\tswitch b.Type {\n310\t\t\tcase \"text\":\n311\t\t\t\tt := strings.TrimSpace(b.Text)\n312\t\t\t\tif t != \"\" {\n313\t\t\t\t\ttexts = append(texts, t)\n314\t\t\t\t}\n315\t\t\tcase \"tool_use\":\n316\t\t\t\tif b.Name != \"\" {\n317\t\t\t\t\ttoolNames = append(toolNames, b.Name)\n318\t\t\t\t}\n319\t\t\t}\n320\t\t}\n321\t\treturn strings.Join(texts, \"\\n\"), toolNames\n322\t}\n323\t\n324\t// buildTurnPairs groups sequential user→assistant messages into pairs.\n325\t// Away summaries are emitted as standalone entries (empty HumanText).\n326\tfunc buildTurnPairs(messages []parsedMessage) ([]TurnPair, int) {\n327\t\tvar pairs []TurnPair\n328\t\ttotalChars := 0\n329\t\n330\t\tvar pendingHuman *parsedMessage\n331\t\tvar currentAssistantText []string\n332\t\tvar currentToolNames []string\n333\t\n334\t\tflushPair := func() {\n335\t\t\tif pendingHuman == nil || len(currentAssistantText) == 0 {\n336\t\t\t\tpendingHuman = nil\n337\t\t\t\tcurrentAssistantText = nil\n338\t\t\t\tcurrentToolNames = nil\n339\t\t\t\treturn\n340\t\t\t}\n341\t\t\taText := strings.Join(currentAssistantText, \"\\n\")\n342\t\t\ttotalChars += len(aText)\n343\t\t\tpairs = append(pairs, TurnPair{\n344\t\t\t\tHumanText: pendingHuman.text,\n345\t\t\t\tAssistantText: aText,\n346\t\t\t\tToolNames: currentToolNames,\n347\t\t\t})\n348\t\t\tpendingHuman = nil\n349\t\t\tcurrentAssistantText = nil\n350\t\t\tcurrentToolNames = nil\n351\t\t}\n352\t\n353\t\tfor i := range messages {\n354\t\t\tmsg := &messages[i]\n355\t\t\tswitch msg.lineType {\n356\t\t\tcase \"user\":\n357\t\t\t\tflushPair()\n358\t\t\t\tpendingHuman = msg\n359\t\n360\t\t\tcase \"assistant\":\n361\t\t\t\tif msg.text != \"\" {\n362\t\t\t\t\tcurrentAssistantText = append(currentAssistantText, msg.text)\n363\t\t\t\t}\n364\t\t\t\tcurrentToolNames = append(currentToolNames, msg.toolNames...)\n365\t\n366\t\t\tcase \"away_summary\":\n367\t\t\t\tflushPair()\n368\t\t\t\ttotalChars += len(msg.text)\n369\t\t\t\tpairs = append(pairs, TurnPair{\n370\t\t\t\t\tHumanText: \"\",\n371\t\t\t\t\tAssistantText: msg.text,\n372\t\t\t\t})\n373\t\t\t}\n374\t\t}\n375\t\tflushPair()\n376\t\n377\t\treturn pairs, totalChars\n378\t}\n379\t\n380\t// ParseSubagents discovers and parses sub-agent conversations from a session directory.\n381\t// sessionDir is the bare directory alongside the .jsonl file (e.g., <uuid>/).\n382\tfunc ParseSubagents(sessionDir string) ([]TurnPair, error) {\n383\t\tsubagentsDir := filepath.Join(sessionDir, \"subagents\")\n384\t\tentries, err := os.ReadDir(subagentsDir)\n385\t\tif err != nil {\n386\t\t\tif os.IsNotExist(err) {\n387\t\t\t\treturn nil, nil\n388\t\t\t}\n389\t\t\treturn nil, fmt.Errorf(\"reading subagents directory: %w\", err)\n390\t\t}\n391\t\n392\t\tvar allPairs []TurnPair\n393\t\tfor _, entry := range entries {\n394\t\t\tif entry.IsDir() || !strings.HasSuffix(entry.Name(), \".jsonl\") {\n395\t\t\t\tcontinue\n396\t\t\t}\n397\t\t\tif !strings.HasPrefix(entry.Name(), \"agent-\") {\n398\t\t\t\tcontinue\n399\t\t\t}\n400\t\n401\t\t\tagentID := strings.TrimSuffix(entry.Name(), \".jsonl\")\n402\t\t\tmetaPath := filepath.Join(subagentsDir, agentID+\".meta.json\")\n403\t\t\tagentType, agentDesc := readAgentMeta(metaPath)\n404\t\n405\t\t\tjsonlPath := filepath.Join(subagentsDir, entry.Name())\n406\t\t\tparsed, err := ParseSession(jsonlPath)\n407\t\t\tif err != nil {\n408\t\t\t\tslog.Warn(\"skipping sub-agent parse failure\", \"path\", jsonlPath, \"error\", err)\n409\t\t\t\tcontinue\n410\t\t\t}\n411\t\n412\t\t\tfor _, tp := range parsed.TurnPairs {\n413\t\t\t\tallPairs = append(allPairs, TurnPair{\n414\t\t\t\t\tHumanText: tp.HumanText,\n415\t\t\t\t\tAssistantText: tp.AssistantText,\n416\t\t\t\t\tToolNames: tp.ToolNames,\n417\t\t\t\t\tIsSubagent: true,\n418\t\t\t\t\tSubagentType: agentType,\n419\t\t\t\t\tSubagentDesc: agentDesc,\n420\t\t\t\t})\n421\t\t\t}\n422\t\t}\n423\t\n424\t\treturn allPairs, nil\n425\t}\n426\t\n427\ttype agentMeta struct {\n428\t\tAgentType string `json:\"agentType\"`\n429\t\tDescription string `json:\"description\"`\n430\t}\n431\t\n432\tfunc readAgentMeta(path string) (agentType, description string) {\n433\t\tdata, err := os.ReadFile(path)\n434\t\tif err != nil {\n435\t\t\treturn \"\", \"\"\n436\t\t}\n437\t\tvar meta agentMeta\n438\t\tif err := json.Unmarshal(data, &meta); err != nil {\n439\t\t\treturn \"\", \"\"\n440\t\t}\n441\t\treturn meta.AgentType, meta.Description\n442\t}\n443\t"}]},"uuid":"11f69631-78b8-4187-96f3-784ead556c56","timestamp":"2026-05-07T06:48:07.617Z","sourceToolAssistantUUID":"51fd9392-7835-4622-9721-0793494c31a1","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"11f69631-78b8-4187-96f3-784ead556c56","isSidechain":true,"agentId":"a170fb21fbbd73e4e","message":{"model":"claude-sonnet-4-6","id":"msg_017TPsny1XUWMmUnWPGf4eia","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017ttQ9pfT9pFSR6ZYUJjuAs","name":"Read","input":{"file_path":"/Users/sergio/Projects/personal/capy/internal/session/sweep.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2830,"cache_creation_input_tokens":4803,"cache_read_input_tokens":12838,"cache_creation":{"ephemeral_5m_input_tokens":4803,"ephemeral_1h_input_tokens":0},"output_tokens":47,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011Canm6e7NkAQk7s9dN3x7c","attributionAgent":"Explore","type":"assistant","uuid":"ef2c4d57-d108-48cc-879e-1a757253715b","timestamp":"2026-05-07T06:48:09.516Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"ef2c4d57-d108-48cc-879e-1a757253715b","isSidechain":true,"agentId":"a170fb21fbbd73e4e","message":{"model":"claude-sonnet-4-6","id":"msg_017TPsny1XUWMmUnWPGf4eia","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018FPextaF2b4qkm1KjxWa4U","name":"Bash","input":{"command":"find /Users/sergio/Projects/personal/capy/internal/session -name '*_test.go' -o -name '*.jsonl' 2>/dev/null | sort","description":"List test and fixture files in session package"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2830,"cache_creation_input_tokens":4803,"cache_read_input_tokens":12838,"output_tokens":170,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4803},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011Canm6e7NkAQk7s9dN3x7c","attributionAgent":"Explore","type":"assistant","uuid":"f45d5b00-334c-4a55-bc12-7c6ed7313577","timestamp":"2026-05-07T06:48:10.297Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"ef2c4d57-d108-48cc-879e-1a757253715b","isSidechain":true,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","agentId":"a170fb21fbbd73e4e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017ttQ9pfT9pFSR6ZYUJjuAs","type":"tool_result","content":"1\tpackage session\n2\t\n3\timport (\n4\t\t\"context\"\n5\t\t\"fmt\"\n6\t\t\"log/slog\"\n7\t\t\"os\"\n8\t\t\"path/filepath\"\n9\t\t\"strings\"\n10\t\t\"time\"\n11\t\n12\t\t\"github.com/serpro69/capy/internal/sanitize\"\n13\t\t\"github.com/serpro69/capy/internal/store\"\n14\t)\n15\t\n16\t// SessionDir returns the Claude Code session directory for the given project.\n17\t// Claude Code mangles the absolute project path by replacing \"/\" and \".\" with \"-\"\n18\t// and stores sessions under ~/.claude/projects/<mangled>/.\n19\t//\n20\t// If the given path is already under ~/.claude/projects/ (i.e. it is itself a\n21\t// session directory), it is validated and returned directly without mangling.\n22\tfunc SessionDir(projectDir string) (string, error) {\n23\t\tabs, err := filepath.Abs(projectDir)\n24\t\tif err != nil {\n25\t\t\treturn \"\", fmt.Errorf(\"resolving absolute path: %w\", err)\n26\t\t}\n27\t\n28\t\thome, err := os.UserHomeDir()\n29\t\tif err != nil {\n30\t\t\treturn \"\", fmt.Errorf(\"resolving home directory: %w\", err)\n31\t\t}\n32\t\n33\t\tclaudeDir := filepath.Join(home, \".claude\", \"projects\")\n34\t\tprefix := claudeDir + string(filepath.Separator)\n35\t\n36\t\tvar dir string\n37\t\tif strings.HasPrefix(abs, prefix) {\n38\t\t\tdir = abs\n39\t\t} else {\n40\t\t\tmangled := manglePath(abs)\n41\t\t\tdir = filepath.Join(claudeDir, mangled)\n42\t\t}\n43\t\n44\t\tinfo, err := os.Stat(dir)\n45\t\tif err != nil {\n46\t\t\treturn \"\", fmt.Errorf(\"session directory not found: %w\", err)\n47\t\t}\n48\t\tif !info.IsDir() {\n49\t\t\treturn \"\", fmt.Errorf(\"session path is not a directory: %s\", dir)\n50\t\t}\n51\t\treturn dir, nil\n52\t}\n53\t\n54\t// manglePath replaces \"/\" and \".\" with \"-\" to match Claude Code's directory naming.\n55\tfunc manglePath(absPath string) string {\n56\t\treturn strings.NewReplacer(\"/\", \"-\", \".\", \"-\").Replace(absPath)\n57\t}\n58\t\n59\t// SweepOptions controls sweep behavior.\n60\ttype SweepOptions struct {\n61\t\tReindex bool // ignore mtime checks, force re-parse of all sessions\n62\t}\n63\t\n64\t// SessionDiagnostic holds per-session parse results for dry-run reporting.\n65\ttype SessionDiagnostic struct {\n66\t\tUUID string\n67\t\tSize int64\n68\t\tTurnPairs int\n69\t\tMainPairs int\n70\t\tAssistantChars int\n71\t\tIndexable bool\n72\t\tAlreadyIndexed bool\n73\t\tParseError string\n74\t}\n75\t\n76\t// DryRunSweep parses all sessions without indexing and returns per-session diagnostics.\n77\t// Pass a non-nil ContentStore to check already-indexed status; pass nil to skip that check.\n78\tfunc DryRunSweep(projectDir string, cs *store.ContentStore, opts SweepOptions) ([]SessionDiagnostic, error) {\n79\t\tdir, err := SessionDir(projectDir)\n80\t\tif err != nil {\n81\t\t\treturn nil, fmt.Errorf(\"session directory: %w\", err)\n82\t\t}\n83\t\n84\t\tentries, err := os.ReadDir(dir)\n85\t\tif err != nil {\n86\t\t\treturn nil, fmt.Errorf(\"listing directory: %w\", err)\n87\t\t}\n88\t\n89\t\tvar indexedMap map[string]time.Time\n90\t\tif !opts.Reindex && cs != nil {\n91\t\t\tindexedMap, _ = buildIndexedAtMap(cs)\n92\t\t}\n93\t\n94\t\tvar results []SessionDiagnostic\n95\t\tfor _, e := range entries {\n96\t\t\tif e.IsDir() || !strings.HasSuffix(e.Name(), \".jsonl\") {\n97\t\t\t\tcontinue\n98\t\t\t}\n99\t\t\tuuid := strings.TrimSuffix(e.Name(), \".jsonl\")\n100\t\t\tinfo, _ := e.Info()\n101\t\n102\t\t\td := SessionDiagnostic{UUID: uuid}\n103\t\t\tif info != nil {\n104\t\t\t\td.Size = info.Size()\n105\t\t\t}\n106\t\n107\t\t\tif !opts.Reindex && indexedMap != nil {\n108\t\t\t\tif _, exists := indexedMap[uuid]; exists {\n109\t\t\t\t\td.AlreadyIndexed = true\n110\t\t\t\t}\n111\t\t\t}\n112\t\n113\t\t\tparsed, err := ParseSession(filepath.Join(dir, e.Name()))\n114\t\t\tif err != nil {\n115\t\t\t\td.ParseError = err.Error()\n116\t\t\t\tresults = append(results, d)\n117\t\t\t\tcontinue\n118\t\t\t}\n119\t\n120\t\t\tsubPairs, _ := ParseSubagents(filepath.Join(dir, uuid))\n121\t\t\tif len(subPairs) > 0 {\n122\t\t\t\tparsed.TurnPairs = append(parsed.TurnPairs, subPairs...)\n123\t\t\t\tfor _, sp := range subPairs {\n124\t\t\t\t\tparsed.TotalAssistantChars += len(sp.AssistantText)\n125\t\t\t\t}\n126\t\t\t}\n127\t\n128\t\t\td.TurnPairs = len(parsed.TurnPairs)\n129\t\t\tfor _, tp := range parsed.TurnPairs {\n130\t\t\t\tif !tp.IsSubagent {\n131\t\t\t\t\td.MainPairs++\n132\t\t\t\t}\n133\t\t\t}\n134\t\t\td.AssistantChars = parsed.TotalAssistantChars\n135\t\t\td.Indexable = parsed.IsIndexable()\n136\t\t\tresults = append(results, d)\n137\t\t}\n138\t\n139\t\treturn results, nil\n140\t}\n141\t\n142\t// Sweep discovers, parses, and indexes Claude Code session files for the given\n143\t// project. It checks ctx.Err() between files for cooperative cancellation.\n144\t//\n145\t// Returns counts of indexed, skipped, and errored sessions.\n146\tfunc Sweep(ctx context.Context, cs *store.ContentStore, projectDir string) (indexed, skipped, errors int) {\n147\t\treturn SweepWithOptions(ctx, cs, projectDir, SweepOptions{})\n148\t}\n149\t\n150\t// SweepWithOptions is like Sweep but accepts options to control behavior.\n151\tfunc SweepWithOptions(ctx context.Context, cs *store.ContentStore, projectDir string, opts SweepOptions) (indexed, skipped, errors int) {\n152\t\tdir, err := SessionDir(projectDir)\n153\t\tif err != nil {\n154\t\t\tslog.Debug(\"session sweep: directory not found, skipping\", \"project\", projectDir, \"error\", err)\n155\t\t\treturn 0, 0, 0\n156\t\t}\n157\t\n158\t\tentries, err := os.ReadDir(dir)\n159\t\tif err != nil {\n160\t\t\tslog.Warn(\"session sweep: cannot list directory\", \"dir\", dir, \"error\", err)\n161\t\t\treturn 0, 0, 1\n162\t\t}\n163\t\n164\t\tvar jsonlFiles []os.DirEntry\n165\t\tfor _, e := range entries {\n166\t\t\tif !e.IsDir() && strings.HasSuffix(e.Name(), \".jsonl\") {\n167\t\t\t\tjsonlFiles = append(jsonlFiles, e)\n168\t\t\t}\n169\t\t}\n170\t\n171\t\tif len(jsonlFiles) == 0 {\n172\t\t\treturn 0, 0, 0\n173\t\t}\n174\t\n175\t\tindexedMap, err := buildIndexedAtMap(cs)\n176\t\tif err != nil {\n177\t\t\tslog.Warn(\"session sweep: cannot query existing sources\", \"error\", err)\n178\t\t\treturn 0, 0, 1\n179\t\t}\n180\t\n181\t\tfor _, entry := range jsonlFiles {\n182\t\t\tif ctx.Err() != nil {\n183\t\t\t\tslog.Info(\"session sweep: cancelled\", \"indexed\", indexed, \"skipped\", skipped, \"errors\", errors)\n184\t\t\t\treturn indexed, skipped, errors\n185\t\t\t}\n186\t\n187\t\t\tuuid := strings.TrimSuffix(entry.Name(), \".jsonl\")\n188\t\n189\t\t\tif !opts.Reindex && shouldSkip(dir, uuid, entry, indexedMap) {\n190\t\t\t\tskipped++\n191\t\t\t\tcontinue\n192\t\t\t}\n193\t\n194\t\t\tok, err := indexSession(ctx, cs, dir, uuid)\n195\t\t\tif err != nil {\n196\t\t\t\tslog.Warn(\"session sweep: index failed\", \"file\", entry.Name(), \"error\", err)\n197\t\t\t\terrors++\n198\t\t\t\tcontinue\n199\t\t\t}\n200\t\t\tif ok {\n201\t\t\t\tindexed++\n202\t\t\t} else {\n203\t\t\t\tskipped++\n204\t\t\t}\n205\t\t}\n206\t\n207\t\treturn indexed, skipped, errors\n208\t}\n209\t\n210\t// buildIndexedAtMap queries existing session sources and returns uuid → indexed_at.\n211\tfunc buildIndexedAtMap(cs *store.ContentStore) (map[string]time.Time, error) {\n212\t\tsources, err := cs.ListSources()\n213\t\tif err != nil {\n214\t\t\treturn nil, err\n215\t\t}\n216\t\n217\t\tm := make(map[string]time.Time, len(sources))\n218\t\tfor _, src := range sources {\n219\t\t\tif src.Kind != store.KindSession {\n220\t\t\t\tcontinue\n221\t\t\t}\n222\t\t\tuuid := extractUUIDFromLabel(src.Label)\n223\t\t\tif uuid != \"\" {\n224\t\t\t\tm[uuid] = src.IndexedAt\n225\t\t\t}\n226\t\t}\n227\t\treturn m, nil\n228\t}\n229\t\n230\t// extractUUIDFromLabel extracts the UUID from a \"session:<ISO-datetime>:<uuid>\" label.\n231\t// The UUID is always the last colon-delimited segment. Using LastIndex avoids coupling\n232\t// to the specific datetime format (which contains internal colons).\n233\tfunc extractUUIDFromLabel(label string) string {\n234\t\tconst prefix = \"session:\"\n235\t\tif !strings.HasPrefix(label, prefix) {\n236\t\t\treturn \"\"\n237\t\t}\n238\t\tidx := strings.LastIndex(label, \":\")\n239\t\t// The last \":\" must be past the prefix (i.e., there's a datetime segment between).\n240\t\tif idx <= len(prefix)-1 || idx == len(label)-1 {\n241\t\t\treturn \"\"\n242\t\t}\n243\t\treturn label[idx+1:]\n244\t}\n245\t\n246\t// shouldSkip returns true if the session file has not changed since last indexing.\n247\t// Compares max(file.mtime, subagents_dir.mtime) against the stored indexed_at time.\n248\tfunc shouldSkip(dir, uuid string, entry os.DirEntry, indexedMap map[string]time.Time) bool {\n249\t\tindexedAt, exists := indexedMap[uuid]\n250\t\tif !exists {\n251\t\t\treturn false\n252\t\t}\n253\t\n254\t\teffectiveMtime := fileMtime(entry)\n255\t\n256\t\tsubagentsDir := filepath.Join(dir, uuid, \"subagents\")\n257\t\tif info, err := os.Stat(subagentsDir); err == nil {\n258\t\t\tif info.ModTime().After(effectiveMtime) {\n259\t\t\t\teffectiveMtime = info.ModTime()\n260\t\t\t}\n261\t\t}\n262\t\n263\t\treturn !effectiveMtime.After(indexedAt)\n264\t}\n265\t\n266\t// fileMtime extracts the modification time from a DirEntry.\n267\tfunc fileMtime(entry os.DirEntry) time.Time {\n268\t\tinfo, err := entry.Info()\n269\t\tif err != nil {\n270\t\t\treturn time.Time{}\n271\t\t}\n272\t\treturn info.ModTime()\n273\t}\n274\t\n275\t// indexSession parses, validates, and indexes a single session file.\n276\t// Returns (true, nil) if the session was indexed, (false, nil) if it was\n277\t// skipped (not indexable / empty), or (false, err) on failure.\n278\tfunc indexSession(ctx context.Context, cs *store.ContentStore, dir, uuid string) (bool, error) {\n279\t\tif ctx.Err() != nil {\n280\t\t\treturn false, ctx.Err()\n281\t\t}\n282\t\n283\t\tjsonlPath := filepath.Join(dir, uuid+\".jsonl\")\n284\t\tparsed, err := ParseSession(jsonlPath)\n285\t\tif err != nil {\n286\t\t\treturn false, fmt.Errorf(\"parsing: %w\", err)\n287\t\t}\n288\t\n289\t\t// Log-and-continue: partial sub-agent failure does not fail the session.\n290\t\tsessionBareDir := filepath.Join(dir, uuid)\n291\t\tsubPairs, err := ParseSubagents(sessionBareDir)\n292\t\tif err != nil {\n293\t\t\tslog.Warn(\"session sweep: sub-agent parse partial failure\", \"session\", uuid, \"error\", err)\n294\t\t}\n295\t\tif len(subPairs) > 0 {\n296\t\t\tparsed.TurnPairs = append(parsed.TurnPairs, subPairs...)\n297\t\t\tfor _, sp := range subPairs {\n298\t\t\t\tparsed.TotalAssistantChars += len(sp.AssistantText)\n299\t\t\t}\n300\t\t}\n301\t\n302\t\tif !parsed.IsIndexable() {\n303\t\t\tfi, _ := os.Stat(jsonlPath)\n304\t\t\tif fi != nil && fi.Size() > 1024 && len(parsed.TurnPairs) == 0 {\n305\t\t\t\tslog.Warn(\"session parsed to 0 turns\",\n306\t\t\t\t\t\"file\", filepath.Base(jsonlPath),\n307\t\t\t\t\t\"size\", fi.Size(),\n308\t\t\t\t)\n309\t\t\t}\n310\t\t\treturn false, nil\n311\t\t}\n312\t\n313\t\t// Sanitize turn pair text before building the transcript so that byte\n314\t\t// offsets are computed on already-redacted content. Sanitizing tr.Text\n315\t\t// after BuildTranscript would invalidate offsets when redacted strings\n316\t\t// differ in length from the originals.\n317\t\tsanitizeParsedSession(parsed)\n318\t\ttr := BuildTranscript(parsed)\n319\t\tchunks := ChunkSession(parsed, tr, 0)\n320\t\tif len(chunks) == 0 {\n321\t\t\treturn false, nil\n322\t\t}\n323\t\n324\t\tlabel := buildLabel(parsed)\n325\t\t_, err = cs.IndexChunked(tr.Text, label, \"session\", store.KindSession, chunks)\n326\t\tif err != nil {\n327\t\t\treturn false, fmt.Errorf(\"indexing: %w\", err)\n328\t\t}\n329\t\n330\t\treturn true, nil\n331\t}\n332\t\n333\t// sanitizeParsedSession strips secrets from all turn pair text in-place,\n334\t// so that BuildTranscript produces a transcript with consistent byte offsets.\n335\tfunc sanitizeParsedSession(s *ParsedSession) {\n336\t\tfor i := range s.TurnPairs {\n337\t\t\ts.TurnPairs[i].HumanText = sanitize.StripSecrets(s.TurnPairs[i].HumanText)\n338\t\t\ts.TurnPairs[i].AssistantText = sanitize.StripSecrets(s.TurnPairs[i].AssistantText)\n339\t\t}\n340\t}\n341\t\n342\t// buildLabel creates a machine-agnostic label: \"session:<ISO-datetime>:<UUID>\".\n343\tfunc buildLabel(s *ParsedSession) string {\n344\t\tts := s.StartTime.UTC().Format(\"2006-01-02T15:04:05Z\")\n345\t\treturn fmt.Sprintf(\"session:%s:%s\", ts, s.SessionID)\n346\t}\n347\t"}]},"uuid":"246fe445-3699-4158-bc8f-662f5ab299dd","timestamp":"2026-05-07T06:48:10.366Z","sourceToolAssistantUUID":"ef2c4d57-d108-48cc-879e-1a757253715b","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"992eb7b2-b16b-4844-9278-a21a9e7f2152","isSidechain":true,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","agentId":"a170fb21fbbd73e4e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QSpwBd61GGt7xtLgxYH4AC","type":"tool_result","content":"1\tpackage session\n2\t\n3\timport (\n4\t\t\"encoding/json\"\n5\t\t\"os\"\n6\t\t\"path/filepath\"\n7\t\t\"strings\"\n8\t\t\"testing\"\n9\t\t\"time\"\n10\t)\n11\t\n12\t// jsonlEntry is a helper for building test JSONL lines.\n13\ttype jsonlEntry map[string]any\n14\t\n15\tfunc writeJSONL(t *testing.T, dir, name string, lines []jsonlEntry) string {\n16\t\tt.Helper()\n17\t\tpath := filepath.Join(dir, name)\n18\t\tf, err := os.Create(path)\n19\t\tif err != nil {\n20\t\t\tt.Fatal(err)\n21\t\t}\n22\t\tdefer f.Close()\n23\t\n24\t\tenc := json.NewEncoder(f)\n25\t\tfor _, line := range lines {\n26\t\t\tif err := enc.Encode(line); err != nil {\n27\t\t\t\tt.Fatal(err)\n28\t\t\t}\n29\t\t}\n30\t\treturn path\n31\t}\n32\t\n33\tfunc TestParseSession_ValidConversation(t *testing.T) {\n34\t\tdir := t.TempDir()\n35\t\tpath := writeJSONL(t, dir, \"abc123.jsonl\", []jsonlEntry{\n36\t\t\t{\n37\t\t\t\t\"type\": \"permission-mode\",\n38\t\t\t\t\"sessionId\": \"abc123\",\n39\t\t\t},\n40\t\t\t{\n41\t\t\t\t\"type\": \"user\",\n42\t\t\t\t\"uuid\": \"u1\",\n43\t\t\t\t\"timestamp\": \"2026-04-05T12:06:26Z\",\n44\t\t\t\t\"sessionId\": \"abc123\",\n45\t\t\t\t\"message\": map[string]any{\n46\t\t\t\t\t\"role\": \"user\",\n47\t\t\t\t\t\"content\": \"How do I set up the project?\",\n48\t\t\t\t},\n49\t\t\t},\n50\t\t\t{\n51\t\t\t\t\"type\": \"assistant\",\n52\t\t\t\t\"uuid\": \"a1\",\n53\t\t\t\t\"timestamp\": \"2026-04-05T12:06:30Z\",\n54\t\t\t\t\"sessionId\": \"abc123\",\n55\t\t\t\t\"message\": map[string]any{\n56\t\t\t\t\t\"id\": \"msg_001\",\n57\t\t\t\t\t\"role\": \"assistant\",\n58\t\t\t\t\t\"content\": []map[string]any{\n59\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"You can set up the project by running `make setup`. This will install all dependencies and configure the development environment.\"},\n60\t\t\t\t\t},\n61\t\t\t\t},\n62\t\t\t},\n63\t\t\t{\n64\t\t\t\t\"type\": \"user\",\n65\t\t\t\t\"uuid\": \"u2\",\n66\t\t\t\t\"timestamp\": \"2026-04-05T12:07:00Z\",\n67\t\t\t\t\"sessionId\": \"abc123\",\n68\t\t\t\t\"message\": map[string]any{\n69\t\t\t\t\t\"role\": \"user\",\n70\t\t\t\t\t\"content\": \"What about testing?\",\n71\t\t\t\t},\n72\t\t\t},\n73\t\t\t{\n74\t\t\t\t\"type\": \"assistant\",\n75\t\t\t\t\"uuid\": \"a2\",\n76\t\t\t\t\"timestamp\": \"2026-04-05T12:07:05Z\",\n77\t\t\t\t\"sessionId\": \"abc123\",\n78\t\t\t\t\"message\": map[string]any{\n79\t\t\t\t\t\"id\": \"msg_002\",\n80\t\t\t\t\t\"role\": \"assistant\",\n81\t\t\t\t\t\"content\": []map[string]any{\n82\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"Run `make test` to execute the full test suite. Use `-tags fts5` for SQLite FTS tests.\"},\n83\t\t\t\t\t},\n84\t\t\t\t},\n85\t\t\t},\n86\t\t})\n87\t\n88\t\tsession, err := ParseSession(path)\n89\t\tif err != nil {\n90\t\t\tt.Fatal(err)\n91\t\t}\n92\t\n93\t\tif session.SessionID != \"abc123\" {\n94\t\t\tt.Errorf(\"SessionID = %q, want %q\", session.SessionID, \"abc123\")\n95\t\t}\n96\t\n97\t\twantTime, _ := time.Parse(time.RFC3339, \"2026-04-05T12:06:26Z\")\n98\t\tif !session.StartTime.Equal(wantTime) {\n99\t\t\tt.Errorf(\"StartTime = %v, want %v\", session.StartTime, wantTime)\n100\t\t}\n101\t\n102\t\tif len(session.TurnPairs) != 2 {\n103\t\t\tt.Fatalf(\"got %d turn pairs, want 2\", len(session.TurnPairs))\n104\t\t}\n105\t\n106\t\ttp := session.TurnPairs[0]\n107\t\tif tp.HumanText != \"How do I set up the project?\" {\n108\t\t\tt.Errorf(\"turn 0 HumanText = %q\", tp.HumanText)\n109\t\t}\n110\t\tif tp.AssistantText == \"\" {\n111\t\t\tt.Error(\"turn 0 AssistantText is empty\")\n112\t\t}\n113\t\n114\t\ttp2 := session.TurnPairs[1]\n115\t\tif tp2.HumanText != \"What about testing?\" {\n116\t\t\tt.Errorf(\"turn 1 HumanText = %q\", tp2.HumanText)\n117\t\t}\n118\t\n119\t\tif session.TotalAssistantChars <= 0 {\n120\t\t\tt.Errorf(\"TotalAssistantChars = %d, want > 0\", session.TotalAssistantChars)\n121\t\t}\n122\t}\n123\t\n124\tfunc TestParseSession_EmptySession(t *testing.T) {\n125\t\tdir := t.TempDir()\n126\t\tpath := writeJSONL(t, dir, \"empty.jsonl\", []jsonlEntry{\n127\t\t\t{\"type\": \"permission-mode\", \"sessionId\": \"empty\"},\n128\t\t\t{\"type\": \"attachment\", \"uuid\": \"att1\"},\n129\t\t})\n130\t\n131\t\tsession, err := ParseSession(path)\n132\t\tif err != nil {\n133\t\t\tt.Fatal(err)\n134\t\t}\n135\t\n136\t\tif len(session.TurnPairs) != 0 {\n137\t\t\tt.Errorf(\"got %d turn pairs, want 0\", len(session.TurnPairs))\n138\t\t}\n139\t\tif session.IsIndexable() {\n140\t\t\tt.Error(\"empty session should not be indexable\")\n141\t\t}\n142\t}\n143\t\n144\tfunc TestParseSession_ToolResultOnly(t *testing.T) {\n145\t\tdir := t.TempDir()\n146\t\tpath := writeJSONL(t, dir, \"tools.jsonl\", []jsonlEntry{\n147\t\t\t{\n148\t\t\t\t\"type\": \"user\",\n149\t\t\t\t\"uuid\": \"u1\",\n150\t\t\t\t\"timestamp\": \"2026-04-05T12:00:00Z\",\n151\t\t\t\t\"sessionId\": \"tools-session\",\n152\t\t\t\t\"message\": map[string]any{\n153\t\t\t\t\t\"role\": \"user\",\n154\t\t\t\t\t\"content\": []map[string]any{\n155\t\t\t\t\t\t{\"type\": \"tool_result\", \"tool_use_id\": \"toolu_123\", \"content\": []map[string]any{\n156\t\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"file contents here\"},\n157\t\t\t\t\t\t}},\n158\t\t\t\t\t},\n159\t\t\t\t},\n160\t\t\t},\n161\t\t\t{\n162\t\t\t\t\"type\": \"assistant\",\n163\t\t\t\t\"uuid\": \"a1\",\n164\t\t\t\t\"timestamp\": \"2026-04-05T12:00:01Z\",\n165\t\t\t\t\"sessionId\": \"tools-session\",\n166\t\t\t\t\"message\": map[string]any{\n167\t\t\t\t\t\"id\": \"msg_001\",\n168\t\t\t\t\t\"role\": \"assistant\",\n169\t\t\t\t\t\"content\": []map[string]any{\n170\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"I see the file contents.\"},\n171\t\t\t\t\t},\n172\t\t\t\t},\n173\t\t\t},\n174\t\t})\n175\t\n176\t\tsession, err := ParseSession(path)\n177\t\tif err != nil {\n178\t\t\tt.Fatal(err)\n179\t\t}\n180\t\n181\t\tif len(session.TurnPairs) != 0 {\n182\t\t\tt.Errorf(\"tool-result-only user should not create a turn pair, got %d\", len(session.TurnPairs))\n183\t\t}\n184\t}\n185\t\n186\tfunc TestParseSession_AwaySummary(t *testing.T) {\n187\t\tdir := t.TempDir()\n188\t\tpath := writeJSONL(t, dir, \"resume.jsonl\", []jsonlEntry{\n189\t\t\t{\n190\t\t\t\t\"type\": \"user\",\n191\t\t\t\t\"uuid\": \"u1\",\n192\t\t\t\t\"timestamp\": \"2026-04-05T12:00:00Z\",\n193\t\t\t\t\"sessionId\": \"resume-session\",\n194\t\t\t\t\"message\": map[string]any{\n195\t\t\t\t\t\"role\": \"user\",\n196\t\t\t\t\t\"content\": \"Start the project\",\n197\t\t\t\t},\n198\t\t\t},\n199\t\t\t{\n200\t\t\t\t\"type\": \"assistant\",\n201\t\t\t\t\"uuid\": \"a1\",\n202\t\t\t\t\"timestamp\": \"2026-04-05T12:00:05Z\",\n203\t\t\t\t\"sessionId\": \"resume-session\",\n204\t\t\t\t\"message\": map[string]any{\n205\t\t\t\t\t\"id\": \"msg_001\",\n206\t\t\t\t\t\"role\": \"assistant\",\n207\t\t\t\t\t\"content\": []map[string]any{\n208\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"Setting up the project now with all required dependencies and configuration files.\"},\n209\t\t\t\t\t},\n210\t\t\t\t},\n211\t\t\t},\n212\t\t\t{\n213\t\t\t\t\"type\": \"system\",\n214\t\t\t\t\"subtype\": \"away_summary\",\n215\t\t\t\t\"content\": \"We set up the project and configured all dependencies.\",\n216\t\t\t\t\"uuid\": \"s1\",\n217\t\t\t\t\"timestamp\": \"2026-04-05T13:00:00Z\",\n218\t\t\t\t\"sessionId\": \"resume-session\",\n219\t\t\t},\n220\t\t\t{\n221\t\t\t\t\"type\": \"user\",\n222\t\t\t\t\"uuid\": \"u2\",\n223\t\t\t\t\"timestamp\": \"2026-04-05T14:00:00Z\",\n224\t\t\t\t\"sessionId\": \"resume-session\",\n225\t\t\t\t\"message\": map[string]any{\n226\t\t\t\t\t\"role\": \"user\",\n227\t\t\t\t\t\"content\": \"Continue with the implementation of the feature we discussed yesterday\",\n228\t\t\t\t},\n229\t\t\t},\n230\t\t\t{\n231\t\t\t\t\"type\": \"assistant\",\n232\t\t\t\t\"uuid\": \"a2\",\n233\t\t\t\t\"timestamp\": \"2026-04-05T14:00:10Z\",\n234\t\t\t\t\"sessionId\": \"resume-session\",\n235\t\t\t\t\"message\": map[string]any{\n236\t\t\t\t\t\"id\": \"msg_002\",\n237\t\t\t\t\t\"role\": \"assistant\",\n238\t\t\t\t\t\"content\": []map[string]any{\n239\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"Continuing with the implementation. Let me pick up where we left off with the feature.\"},\n240\t\t\t\t\t},\n241\t\t\t\t},\n242\t\t\t},\n243\t\t})\n244\t\n245\t\tsession, err := ParseSession(path)\n246\t\tif err != nil {\n247\t\t\tt.Fatal(err)\n248\t\t}\n249\t\n250\t\tif len(session.TurnPairs) != 3 {\n251\t\t\tt.Fatalf(\"got %d turn pairs, want 3 (2 normal + 1 away_summary)\", len(session.TurnPairs))\n252\t\t}\n253\t\n254\t\t// The away_summary should appear as a turn pair with empty HumanText.\n255\t\tsummary := session.TurnPairs[1]\n256\t\tif summary.HumanText != \"\" {\n257\t\t\tt.Errorf(\"away_summary turn should have empty HumanText, got %q\", summary.HumanText)\n258\t\t}\n259\t\tif summary.AssistantText != \"We set up the project and configured all dependencies.\" {\n260\t\t\tt.Errorf(\"away_summary text = %q\", summary.AssistantText)\n261\t\t}\n262\t}\n263\t\n264\tfunc TestParseSession_SystemReminderStripping(t *testing.T) {\n265\t\tdir := t.TempDir()\n266\t\tpath := writeJSONL(t, dir, \"reminder.jsonl\", []jsonlEntry{\n267\t\t\t{\n268\t\t\t\t\"type\": \"user\",\n269\t\t\t\t\"uuid\": \"u1\",\n270\t\t\t\t\"timestamp\": \"2026-04-05T12:00:00Z\",\n271\t\t\t\t\"sessionId\": \"reminder-session\",\n272\t\t\t\t\"message\": map[string]any{\n273\t\t\t\t\t\"role\": \"user\",\n274\t\t\t\t\t\"content\": []map[string]any{\n275\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"Fix the bug<system-reminder>Hook context here</system-reminder> in the parser\"},\n276\t\t\t\t\t},\n277\t\t\t\t},\n278\t\t\t},\n279\t\t\t{\n280\t\t\t\t\"type\": \"assistant\",\n281\t\t\t\t\"uuid\": \"a1\",\n282\t\t\t\t\"timestamp\": \"2026-04-05T12:00:05Z\",\n283\t\t\t\t\"sessionId\": \"reminder-session\",\n284\t\t\t\t\"message\": map[string]any{\n285\t\t\t\t\t\"id\": \"msg_001\",\n286\t\t\t\t\t\"role\": \"assistant\",\n287\t\t\t\t\t\"content\": []map[string]any{\n288\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"I'll fix the parser bug now. This requires updating the regex and the test cases for completeness.\"},\n289\t\t\t\t\t},\n290\t\t\t\t},\n291\t\t\t},\n292\t\t\t{\n293\t\t\t\t\"type\": \"user\",\n294\t\t\t\t\"uuid\": \"u2\",\n295\t\t\t\t\"timestamp\": \"2026-04-05T12:01:00Z\",\n296\t\t\t\t\"sessionId\": \"reminder-session\",\n297\t\t\t\t\"message\": map[string]any{\n298\t\t\t\t\t\"role\": \"user\",\n299\t\t\t\t\t\"content\": \"Thanks, looks good\",\n300\t\t\t\t},\n301\t\t\t},\n302\t\t\t{\n303\t\t\t\t\"type\": \"assistant\",\n304\t\t\t\t\"uuid\": \"a2\",\n305\t\t\t\t\"timestamp\": \"2026-04-05T12:01:05Z\",\n306\t\t\t\t\"sessionId\": \"reminder-session\",\n307\t\t\t\t\"message\": map[string]any{\n308\t\t\t\t\t\"id\": \"msg_002\",\n309\t\t\t\t\t\"role\": \"assistant\",\n310\t\t\t\t\t\"content\": []map[string]any{\n311\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"You're welcome! The fix is committed and all tests pass successfully now.\"},\n312\t\t\t\t\t},\n313\t\t\t\t},\n314\t\t\t},\n315\t\t})\n316\t\n317\t\tsession, err := ParseSession(path)\n318\t\tif err != nil {\n319\t\t\tt.Fatal(err)\n320\t\t}\n321\t\n322\t\tif len(session.TurnPairs) != 2 {\n323\t\t\tt.Fatalf(\"got %d turn pairs, want 2\", len(session.TurnPairs))\n324\t\t}\n325\t\n326\t\tgot := session.TurnPairs[0].HumanText\n327\t\tif got != \"Fix the bug in the parser\" {\n328\t\t\tt.Errorf(\"system-reminder not stripped: %q\", got)\n329\t\t}\n330\t}\n331\t\n332\tfunc TestParseSession_ToolUseExtraction(t *testing.T) {\n333\t\tdir := t.TempDir()\n334\t\tpath := writeJSONL(t, dir, \"tooluse.jsonl\", []jsonlEntry{\n335\t\t\t{\n336\t\t\t\t\"type\": \"user\",\n337\t\t\t\t\"uuid\": \"u1\",\n338\t\t\t\t\"timestamp\": \"2026-04-05T12:00:00Z\",\n339\t\t\t\t\"sessionId\": \"tooluse-session\",\n340\t\t\t\t\"message\": map[string]any{\n341\t\t\t\t\t\"role\": \"user\",\n342\t\t\t\t\t\"content\": \"Read the config file and fix the settings for the application\",\n343\t\t\t\t},\n344\t\t\t},\n345\t\t\t{\n346\t\t\t\t\"type\": \"assistant\",\n347\t\t\t\t\"uuid\": \"a1\",\n348\t\t\t\t\"timestamp\": \"2026-04-05T12:00:05Z\",\n349\t\t\t\t\"sessionId\": \"tooluse-session\",\n350\t\t\t\t\"message\": map[string]any{\n351\t\t\t\t\t\"id\": \"msg_001\",\n352\t\t\t\t\t\"role\": \"assistant\",\n353\t\t\t\t\t\"content\": []map[string]any{\n354\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"Let me read the config file first to understand the current settings.\"},\n355\t\t\t\t\t\t{\"type\": \"tool_use\", \"id\": \"toolu_001\", \"name\": \"Read\", \"input\": map[string]any{\"path\": \"/config.toml\"}},\n356\t\t\t\t\t},\n357\t\t\t\t},\n358\t\t\t},\n359\t\t\t// Tool result (user message with tool_result) — should be skipped.\n360\t\t\t{\n361\t\t\t\t\"type\": \"user\",\n362\t\t\t\t\"uuid\": \"u2\",\n363\t\t\t\t\"timestamp\": \"2026-04-05T12:00:06Z\",\n364\t\t\t\t\"sessionId\": \"tooluse-session\",\n365\t\t\t\t\"message\": map[string]any{\n366\t\t\t\t\t\"role\": \"user\",\n367\t\t\t\t\t\"content\": []map[string]any{\n368\t\t\t\t\t\t{\"type\": \"tool_result\", \"tool_use_id\": \"toolu_001\", \"content\": []map[string]any{\n369\t\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"[config contents]\"},\n370\t\t\t\t\t\t}},\n371\t\t\t\t\t},\n372\t\t\t\t},\n373\t\t\t},\n374\t\t\t{\n375\t\t\t\t\"type\": \"assistant\",\n376\t\t\t\t\"uuid\": \"a2\",\n377\t\t\t\t\"timestamp\": \"2026-04-05T12:00:10Z\",\n378\t\t\t\t\"sessionId\": \"tooluse-session\",\n379\t\t\t\t\"message\": map[string]any{\n380\t\t\t\t\t\"id\": \"msg_002\",\n381\t\t\t\t\t\"role\": \"assistant\",\n382\t\t\t\t\t\"content\": []map[string]any{\n383\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"I see the issue — the timeout is set too low. Let me fix it.\"},\n384\t\t\t\t\t\t{\"type\": \"tool_use\", \"id\": \"toolu_002\", \"name\": \"Edit\", \"input\": map[string]any{\"path\": \"/config.toml\"}},\n385\t\t\t\t\t},\n386\t\t\t\t},\n387\t\t\t},\n388\t\t\t{\n389\t\t\t\t\"type\": \"user\",\n390\t\t\t\t\"uuid\": \"u3\",\n391\t\t\t\t\"timestamp\": \"2026-04-05T12:01:00Z\",\n392\t\t\t\t\"sessionId\": \"tooluse-session\",\n393\t\t\t\t\"message\": map[string]any{\n394\t\t\t\t\t\"role\": \"user\",\n395\t\t\t\t\t\"content\": \"Perfect, that fixed it\",\n396\t\t\t\t},\n397\t\t\t},\n398\t\t\t{\n399\t\t\t\t\"type\": \"assistant\",\n400\t\t\t\t\"uuid\": \"a3\",\n401\t\t\t\t\"timestamp\": \"2026-04-05T12:01:05Z\",\n402\t\t\t\t\"sessionId\": \"tooluse-session\",\n403\t\t\t\t\"message\": map[string]any{\n404\t\t\t\t\t\"id\": \"msg_003\",\n405\t\t\t\t\t\"role\": \"assistant\",\n406\t\t\t\t\t\"content\": []map[string]any{\n407\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"Great! The config is updated and the timeout should work properly now.\"},\n408\t\t\t\t\t},\n409\t\t\t\t},\n410\t\t\t},\n411\t\t})\n412\t\n413\t\tsession, err := ParseSession(path)\n414\t\tif err != nil {\n415\t\t\tt.Fatal(err)\n416\t\t}\n417\t\n418\t\t// Should have 2 turn pairs: \"Read the config...\" → assistant (with Read+Edit tools),\n419\t\t// then \"Perfect...\" → assistant (no tools).\n420\t\t// The tool_result-only user message is skipped, so assistant msgs with Read and Edit\n421\t\t// both attach to the first turn pair.\n422\t\tif len(session.TurnPairs) != 2 {\n423\t\t\tt.Fatalf(\"got %d turn pairs, want 2\", len(session.TurnPairs))\n424\t\t}\n425\t\n426\t\ttp := session.TurnPairs[0]\n427\t\tif len(tp.ToolNames) < 1 {\n428\t\t\tt.Fatalf(\"turn 0 should have tool names, got %v\", tp.ToolNames)\n429\t\t}\n430\t\tif tp.ToolNames[0] != \"Read\" {\n431\t\t\tt.Errorf(\"turn 0 ToolNames[0] = %q, want %q\", tp.ToolNames[0], \"Read\")\n432\t\t}\n433\t}\n434\t\n435\tfunc TestParseSession_ProgressiveSnapshots(t *testing.T) {\n436\t\tdir := t.TempDir()\n437\t\tpath := writeJSONL(t, dir, \"snapshots.jsonl\", []jsonlEntry{\n438\t\t\t{\n439\t\t\t\t\"type\": \"user\",\n440\t\t\t\t\"uuid\": \"u1\",\n441\t\t\t\t\"timestamp\": \"2026-04-05T12:00:00Z\",\n442\t\t\t\t\"sessionId\": \"snap-session\",\n443\t\t\t\t\"message\": map[string]any{\n444\t\t\t\t\t\"role\": \"user\",\n445\t\t\t\t\t\"content\": \"Help me understand the code\",\n446\t\t\t\t},\n447\t\t\t},\n448\t\t\t// Progressive snapshot 1: thinking only\n449\t\t\t{\n450\t\t\t\t\"type\": \"assistant\",\n451\t\t\t\t\"uuid\": \"a1-snap1\",\n452\t\t\t\t\"timestamp\": \"2026-04-05T12:00:01Z\",\n453\t\t\t\t\"sessionId\": \"snap-session\",\n454\t\t\t\t\"message\": map[string]any{\n455\t\t\t\t\t\"id\": \"msg_same\",\n456\t\t\t\t\t\"role\": \"assistant\",\n457\t\t\t\t\t\"content\": []map[string]any{\n458\t\t\t\t\t\t{\"type\": \"thinking\", \"thinking\": \"\", \"signature\": \"abc123\"},\n459\t\t\t\t\t},\n460\t\t\t\t},\n461\t\t\t},\n462\t\t\t// Progressive snapshot 2: thinking + text (final)\n463\t\t\t{\n464\t\t\t\t\"type\": \"assistant\",\n465\t\t\t\t\"uuid\": \"a1-snap2\",\n466\t\t\t\t\"timestamp\": \"2026-04-05T12:00:05Z\",\n467\t\t\t\t\"sessionId\": \"snap-session\",\n468\t\t\t\t\"message\": map[string]any{\n469\t\t\t\t\t\"id\": \"msg_same\",\n470\t\t\t\t\t\"role\": \"assistant\",\n471\t\t\t\t\t\"content\": []map[string]any{\n472\t\t\t\t\t\t{\"type\": \"thinking\", \"thinking\": \"\", \"signature\": \"abc123\"},\n473\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"The code follows a clean architecture pattern with clear separation of concerns between layers.\"},\n474\t\t\t\t\t},\n475\t\t\t\t},\n476\t\t\t},\n477\t\t\t{\n478\t\t\t\t\"type\": \"user\",\n479\t\t\t\t\"uuid\": \"u2\",\n480\t\t\t\t\"timestamp\": \"2026-04-05T12:01:00Z\",\n481\t\t\t\t\"sessionId\": \"snap-session\",\n482\t\t\t\t\"message\": map[string]any{\n483\t\t\t\t\t\"role\": \"user\",\n484\t\t\t\t\t\"content\": \"That makes sense, thanks for explaining the architecture so clearly\",\n485\t\t\t\t},\n486\t\t\t},\n487\t\t\t{\n488\t\t\t\t\"type\": \"assistant\",\n489\t\t\t\t\"uuid\": \"a2\",\n490\t\t\t\t\"timestamp\": \"2026-04-05T12:01:05Z\",\n491\t\t\t\t\"sessionId\": \"snap-session\",\n492\t\t\t\t\"message\": map[string]any{\n493\t\t\t\t\t\"id\": \"msg_other\",\n494\t\t\t\t\t\"role\": \"assistant\",\n495\t\t\t\t\t\"content\": []map[string]any{\n496\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"You're welcome! Let me know if you have any other questions about the codebase.\"},\n497\t\t\t\t\t},\n498\t\t\t\t},\n499\t\t\t},\n500\t\t})\n501\t\n502\t\tsession, err := ParseSession(path)\n503\t\tif err != nil {\n504\t\t\tt.Fatal(err)\n505\t\t}\n506\t\n507\t\tif len(session.TurnPairs) != 2 {\n508\t\t\tt.Fatalf(\"got %d turn pairs, want 2\", len(session.TurnPairs))\n509\t\t}\n510\t\n511\t\t// Should NOT have duplicate text from progressive snapshots.\n512\t\ttp := session.TurnPairs[0]\n513\t\tif tp.AssistantText != \"The code follows a clean architecture pattern with clear separation of concerns between layers.\" {\n514\t\t\tt.Errorf(\"unexpected assistant text (possible dedup failure): %q\", tp.AssistantText)\n515\t\t}\n516\t}\n517\t\n518\tfunc TestParseSession_NonCumulativeSnapshots(t *testing.T) {\n519\t\tdir := t.TempDir()\n520\t\t// Real Claude Code format: each content block is a separate JSONL line\n521\t\t// with the same message.id but only 1 block per line (non-cumulative).\n522\t\tpath := writeJSONL(t, dir, \"noncum.jsonl\", []jsonlEntry{\n523\t\t\t{\n524\t\t\t\t\"type\": \"user\",\n525\t\t\t\t\"uuid\": \"u1\",\n526\t\t\t\t\"timestamp\": \"2026-04-05T12:00:00Z\",\n527\t\t\t\t\"sessionId\": \"noncum-session\",\n528\t\t\t\t\"message\": map[string]any{\n529\t\t\t\t\t\"role\": \"user\",\n530\t\t\t\t\t\"content\": \"Read the config file and fix the settings\",\n531\t\t\t\t},\n532\t\t\t},\n533\t\t\t// Block 1: thinking (separate line)\n534\t\t\t{\n535\t\t\t\t\"type\": \"assistant\",\n536\t\t\t\t\"uuid\": \"a1-snap1\",\n537\t\t\t\t\"timestamp\": \"2026-04-05T12:00:01Z\",\n538\t\t\t\t\"sessionId\": \"noncum-session\",\n539\t\t\t\t\"message\": map[string]any{\n540\t\t\t\t\t\"id\": \"msg_001\",\n541\t\t\t\t\t\"role\": \"assistant\",\n542\t\t\t\t\t\"content\": []map[string]any{\n543\t\t\t\t\t\t{\"type\": \"thinking\", \"thinking\": \"\", \"signature\": \"sig1\"},\n544\t\t\t\t\t},\n545\t\t\t\t},\n546\t\t\t},\n547\t\t\t// Block 2: text (separate line, same message.id)\n548\t\t\t{\n549\t\t\t\t\"type\": \"assistant\",\n550\t\t\t\t\"uuid\": \"a1-snap2\",\n551\t\t\t\t\"timestamp\": \"2026-04-05T12:00:02Z\",\n552\t\t\t\t\"sessionId\": \"noncum-session\",\n553\t\t\t\t\"message\": map[string]any{\n554\t\t\t\t\t\"id\": \"msg_001\",\n555\t\t\t\t\t\"role\": \"assistant\",\n556\t\t\t\t\t\"content\": []map[string]any{\n557\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"Let me read the config file first.\"},\n558\t\t\t\t\t},\n559\t\t\t\t},\n560\t\t\t},\n561\t\t\t// Block 3: tool_use (separate line, same message.id)\n562\t\t\t{\n563\t\t\t\t\"type\": \"assistant\",\n564\t\t\t\t\"uuid\": \"a1-snap3\",\n565\t\t\t\t\"timestamp\": \"2026-04-05T12:00:03Z\",\n566\t\t\t\t\"sessionId\": \"noncum-session\",\n567\t\t\t\t\"message\": map[string]any{\n568\t\t\t\t\t\"id\": \"msg_001\",\n569\t\t\t\t\t\"role\": \"assistant\",\n570\t\t\t\t\t\"content\": []map[string]any{\n571\t\t\t\t\t\t{\"type\": \"tool_use\", \"id\": \"toolu_001\", \"name\": \"Read\", \"input\": map[string]any{\"path\": \"/config.toml\"}},\n572\t\t\t\t\t},\n573\t\t\t\t},\n574\t\t\t},\n575\t\t\t// Tool result\n576\t\t\t{\n577\t\t\t\t\"type\": \"user\",\n578\t\t\t\t\"uuid\": \"u2\",\n579\t\t\t\t\"timestamp\": \"2026-04-05T12:00:04Z\",\n580\t\t\t\t\"sessionId\": \"noncum-session\",\n581\t\t\t\t\"message\": map[string]any{\n582\t\t\t\t\t\"role\": \"user\",\n583\t\t\t\t\t\"content\": []map[string]any{\n584\t\t\t\t\t\t{\"type\": \"tool_result\", \"tool_use_id\": \"toolu_001\", \"content\": []map[string]any{\n585\t\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"timeout = 30\"},\n586\t\t\t\t\t\t}},\n587\t\t\t\t\t},\n588\t\t\t\t},\n589\t\t\t},\n590\t\t\t// Second assistant message, also non-cumulative\n591\t\t\t{\n592\t\t\t\t\"type\": \"assistant\",\n593\t\t\t\t\"uuid\": \"a2-snap1\",\n594\t\t\t\t\"timestamp\": \"2026-04-05T12:00:05Z\",\n595\t\t\t\t\"sessionId\": \"noncum-session\",\n596\t\t\t\t\"message\": map[string]any{\n597\t\t\t\t\t\"id\": \"msg_002\",\n598\t\t\t\t\t\"role\": \"assistant\",\n599\t\t\t\t\t\"content\": []map[string]any{\n600\t\t\t\t\t\t{\"type\": \"thinking\", \"thinking\": \"\", \"signature\": \"sig2\"},\n601\t\t\t\t\t},\n602\t\t\t\t},\n603\t\t\t},\n604\t\t\t{\n605\t\t\t\t\"type\": \"assistant\",\n606\t\t\t\t\"uuid\": \"a2-snap2\",\n607\t\t\t\t\"timestamp\": \"2026-04-05T12:00:06Z\",\n608\t\t\t\t\"sessionId\": \"noncum-session\",\n609\t\t\t\t\"message\": map[string]any{\n610\t\t\t\t\t\"id\": \"msg_002\",\n611\t\t\t\t\t\"role\": \"assistant\",\n612\t\t\t\t\t\"content\": []map[string]any{\n613\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"The timeout is set too low. Let me fix it.\"},\n614\t\t\t\t\t},\n615\t\t\t\t},\n616\t\t\t},\n617\t\t\t{\n618\t\t\t\t\"type\": \"assistant\",\n619\t\t\t\t\"uuid\": \"a2-snap3\",\n620\t\t\t\t\"timestamp\": \"2026-04-05T12:00:07Z\",\n621\t\t\t\t\"sessionId\": \"noncum-session\",\n622\t\t\t\t\"message\": map[string]any{\n623\t\t\t\t\t\"id\": \"msg_002\",\n624\t\t\t\t\t\"role\": \"assistant\",\n625\t\t\t\t\t\"content\": []map[string]any{\n626\t\t\t\t\t\t{\"type\": \"tool_use\", \"id\": \"toolu_002\", \"name\": \"Edit\", \"input\": map[string]any{\"path\": \"/config.toml\"}},\n627\t\t\t\t\t},\n628\t\t\t\t},\n629\t\t\t},\n630\t\t\t// Second tool result\n631\t\t\t{\n632\t\t\t\t\"type\": \"user\",\n633\t\t\t\t\"uuid\": \"u3\",\n634\t\t\t\t\"timestamp\": \"2026-04-05T12:00:08Z\",\n635\t\t\t\t\"sessionId\": \"noncum-session\",\n636\t\t\t\t\"message\": map[string]any{\n637\t\t\t\t\t\"role\": \"user\",\n638\t\t\t\t\t\"content\": []map[string]any{\n639\t\t\t\t\t\t{\"type\": \"tool_result\", \"tool_use_id\": \"toolu_002\", \"content\": []map[string]any{\n640\t\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"ok\"},\n641\t\t\t\t\t\t}},\n642\t\t\t\t\t},\n643\t\t\t\t},\n644\t\t\t},\n645\t\t\t// Final human message\n646\t\t\t{\n647\t\t\t\t\"type\": \"user\",\n648\t\t\t\t\"uuid\": \"u4\",\n649\t\t\t\t\"timestamp\": \"2026-04-05T12:01:00Z\",\n650\t\t\t\t\"sessionId\": \"noncum-session\",\n651\t\t\t\t\"message\": map[string]any{\n652\t\t\t\t\t\"role\": \"user\",\n653\t\t\t\t\t\"content\": \"Perfect, that fixed it\",\n654\t\t\t\t},\n655\t\t\t},\n656\t\t\t// Final assistant — single text block\n657\t\t\t{\n658\t\t\t\t\"type\": \"assistant\",\n659\t\t\t\t\"uuid\": \"a3\",\n660\t\t\t\t\"timestamp\": \"2026-04-05T12:01:05Z\",\n661\t\t\t\t\"sessionId\": \"noncum-session\",\n662\t\t\t\t\"message\": map[string]any{\n663\t\t\t\t\t\"id\": \"msg_003\",\n664\t\t\t\t\t\"role\": \"assistant\",\n665\t\t\t\t\t\"content\": []map[string]any{\n666\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"The config is updated and working now.\"},\n667\t\t\t\t\t},\n668\t\t\t\t},\n669\t\t\t},\n670\t\t})\n671\t\n672\t\tsession, err := ParseSession(path)\n673\t\tif err != nil {\n674\t\t\tt.Fatal(err)\n675\t\t}\n676\t\n677\t\t// Two turn pairs: \"Read the config...\" → merged assistant with text + tools,\n678\t\t// then \"Perfect...\" → final assistant text.\n679\t\t// Tool-result-only user messages (u2, u3) are filtered out by extractUserText\n680\t\t// and don't create turn pair boundaries, so both msg_001 and msg_002 accumulate\n681\t\t// into the first turn pair.\n682\t\tif len(session.TurnPairs) != 2 {\n683\t\t\tt.Fatalf(\"got %d turn pairs, want 2\", len(session.TurnPairs))\n684\t\t}\n685\t\n686\t\ttp0 := session.TurnPairs[0]\n687\t\tif !strings.Contains(tp0.AssistantText, \"Let me read the config file first.\") {\n688\t\t\tt.Errorf(\"turn 0: missing text from first assistant block, got %q\", tp0.AssistantText)\n689\t\t}\n690\t\tif !strings.Contains(tp0.AssistantText, \"The timeout is set too low.\") {\n691\t\t\tt.Errorf(\"turn 0: missing text from second assistant block, got %q\", tp0.AssistantText)\n692\t\t}\n693\t\tif len(tp0.ToolNames) < 2 {\n694\t\t\tt.Fatalf(\"turn 0: want >= 2 tool names, got %v\", tp0.ToolNames)\n695\t\t}\n696\t\tif tp0.ToolNames[0] != \"Read\" || tp0.ToolNames[1] != \"Edit\" {\n697\t\t\tt.Errorf(\"turn 0: ToolNames = %v, want [Read, Edit]\", tp0.ToolNames)\n698\t\t}\n699\t\n700\t\ttp1 := session.TurnPairs[1]\n701\t\tif tp1.AssistantText != \"The config is updated and working now.\" {\n702\t\t\tt.Errorf(\"turn 1: AssistantText = %q\", tp1.AssistantText)\n703\t\t}\n704\t\n705\t\tif session.TotalAssistantChars <= 0 {\n706\t\t\tt.Errorf(\"TotalAssistantChars = %d, want > 0\", session.TotalAssistantChars)\n707\t\t}\n708\t}\n709\t\n710\tfunc TestParseSession_CumulativeSnapshotsDedup(t *testing.T) {\n711\t\tdir := t.TempDir()\n712\t\t// Cumulative format: each snapshot repeats previous blocks and adds new ones.\n713\t\t// Verify dedup prevents duplicate text in the merged result.\n714\t\tpath := writeJSONL(t, dir, \"cumdedup.jsonl\", []jsonlEntry{\n715\t\t\t{\n716\t\t\t\t\"type\": \"user\",\n717\t\t\t\t\"uuid\": \"u1\",\n718\t\t\t\t\"timestamp\": \"2026-04-05T12:00:00Z\",\n719\t\t\t\t\"sessionId\": \"cumdedup-session\",\n720\t\t\t\t\"message\": map[string]any{\n721\t\t\t\t\t\"role\": \"user\",\n722\t\t\t\t\t\"content\": \"Explain the architecture\",\n723\t\t\t\t},\n724\t\t\t},\n725\t\t\t// Snapshot 1: thinking only\n726\t\t\t{\n727\t\t\t\t\"type\": \"assistant\",\n728\t\t\t\t\"uuid\": \"a1-snap1\",\n729\t\t\t\t\"timestamp\": \"2026-04-05T12:00:01Z\",\n730\t\t\t\t\"sessionId\": \"cumdedup-session\",\n731\t\t\t\t\"message\": map[string]any{\n732\t\t\t\t\t\"id\": \"msg_001\",\n733\t\t\t\t\t\"role\": \"assistant\",\n734\t\t\t\t\t\"content\": []map[string]any{\n735\t\t\t\t\t\t{\"type\": \"thinking\", \"thinking\": \"\", \"signature\": \"sig1\"},\n736\t\t\t\t\t},\n737\t\t\t\t},\n738\t\t\t},\n739\t\t\t// Snapshot 2: thinking + text (cumulative)\n740\t\t\t{\n741\t\t\t\t\"type\": \"assistant\",\n742\t\t\t\t\"uuid\": \"a1-snap2\",\n743\t\t\t\t\"timestamp\": \"2026-04-05T12:00:02Z\",\n744\t\t\t\t\"sessionId\": \"cumdedup-session\",\n745\t\t\t\t\"message\": map[string]any{\n746\t\t\t\t\t\"id\": \"msg_001\",\n747\t\t\t\t\t\"role\": \"assistant\",\n748\t\t\t\t\t\"content\": []map[string]any{\n749\t\t\t\t\t\t{\"type\": \"thinking\", \"thinking\": \"\", \"signature\": \"sig1\"},\n750\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"The system uses clean architecture.\"},\n751\t\t\t\t\t},\n752\t\t\t\t},\n753\t\t\t},\n754\t\t\t// Snapshot 3: thinking + text + tool_use (cumulative)\n755\t\t\t{\n756\t\t\t\t\"type\": \"assistant\",\n757\t\t\t\t\"uuid\": \"a1-snap3\",\n758\t\t\t\t\"timestamp\": \"2026-04-05T12:00:03Z\",\n759\t\t\t\t\"sessionId\": \"cumdedup-session\",\n760\t\t\t\t\"message\": map[string]any{\n761\t\t\t\t\t\"id\": \"msg_001\",\n762\t\t\t\t\t\"role\": \"assistant\",\n763\t\t\t\t\t\"content\": []map[string]any{\n764\t\t\t\t\t\t{\"type\": \"thinking\", \"thinking\": \"\", \"signature\": \"sig1\"},\n765\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"The system uses clean architecture.\"},\n766\t\t\t\t\t\t{\"type\": \"tool_use\", \"id\": \"toolu_001\", \"name\": \"Read\", \"input\": map[string]any{\"path\": \"/arch.md\"}},\n767\t\t\t\t\t},\n768\t\t\t\t},\n769\t\t\t},\n770\t\t\t{\n771\t\t\t\t\"type\": \"user\",\n772\t\t\t\t\"uuid\": \"u2\",\n773\t\t\t\t\"timestamp\": \"2026-04-05T12:01:00Z\",\n774\t\t\t\t\"sessionId\": \"cumdedup-session\",\n775\t\t\t\t\"message\": map[string]any{\n776\t\t\t\t\t\"role\": \"user\",\n777\t\t\t\t\t\"content\": \"Thanks for the explanation\",\n778\t\t\t\t},\n779\t\t\t},\n780\t\t\t{\n781\t\t\t\t\"type\": \"assistant\",\n782\t\t\t\t\"uuid\": \"a2\",\n783\t\t\t\t\"timestamp\": \"2026-04-05T12:01:05Z\",\n784\t\t\t\t\"sessionId\": \"cumdedup-session\",\n785\t\t\t\t\"message\": map[string]any{\n786\t\t\t\t\t\"id\": \"msg_002\",\n787\t\t\t\t\t\"role\": \"assistant\",\n788\t\t\t\t\t\"content\": []map[string]any{\n789\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"Happy to help!\"},\n790\t\t\t\t\t},\n791\t\t\t\t},\n792\t\t\t},\n793\t\t})\n794\t\n795\t\tsession, err := ParseSession(path)\n796\t\tif err != nil {\n797\t\t\tt.Fatal(err)\n798\t\t}\n799\t\n800\t\tif len(session.TurnPairs) != 2 {\n801\t\t\tt.Fatalf(\"got %d turn pairs, want 2\", len(session.TurnPairs))\n802\t\t}\n803\t\n804\t\ttp := session.TurnPairs[0]\n805\t\tif tp.AssistantText != \"The system uses clean architecture.\" {\n806\t\t\tt.Errorf(\"expected single text (no duplicates from cumulative dedup), got %q\", tp.AssistantText)\n807\t\t}\n808\t\tif len(tp.ToolNames) != 1 || tp.ToolNames[0] != \"Read\" {\n809\t\t\tt.Errorf(\"ToolNames = %v, want [Read]\", tp.ToolNames)\n810\t\t}\n811\t}\n812\t\n813\tfunc TestParseSession_SlashCommands(t *testing.T) {\n814\t\tdir := t.TempDir()\n815\t\tpath := writeJSONL(t, dir, \"slash.jsonl\", []jsonlEntry{\n816\t\t\t{\n817\t\t\t\t\"type\": \"user\",\n818\t\t\t\t\"uuid\": \"u1\",\n819\t\t\t\t\"timestamp\": \"2026-04-05T12:00:00Z\",\n820\t\t\t\t\"sessionId\": \"slash-session\",\n821\t\t\t\t\"message\": map[string]any{\n822\t\t\t\t\t\"role\": \"user\",\n823\t\t\t\t\t\"content\": \"<command-name>/effort</command-name>\\n <command-message>effort</command-message>\\n <command-args>max</command-args>\",\n824\t\t\t\t},\n825\t\t\t},\n826\t\t\t{\n827\t\t\t\t\"type\": \"user\",\n828\t\t\t\t\"uuid\": \"u2\",\n829\t\t\t\t\"timestamp\": \"2026-04-05T12:00:01Z\",\n830\t\t\t\t\"sessionId\": \"slash-session\",\n831\t\t\t\t\"message\": map[string]any{\n832\t\t\t\t\t\"role\": \"user\",\n833\t\t\t\t\t\"content\": \"<local-command-stdout>Set effort level to max</local-command-stdout>\",\n834\t\t\t\t},\n835\t\t\t},\n836\t\t\t{\n837\t\t\t\t\"type\": \"user\",\n838\t\t\t\t\"uuid\": \"u3\",\n839\t\t\t\t\"timestamp\": \"2026-04-05T12:00:02Z\",\n840\t\t\t\t\"sessionId\": \"slash-session\",\n841\t\t\t\t\"message\": map[string]any{\n842\t\t\t\t\t\"role\": \"user\",\n843\t\t\t\t\t\"content\": \"Now fix the bug in parser.go\",\n844\t\t\t\t},\n845\t\t\t},\n846\t\t\t{\n847\t\t\t\t\"type\": \"assistant\",\n848\t\t\t\t\"uuid\": \"a1\",\n849\t\t\t\t\"timestamp\": \"2026-04-05T12:00:05Z\",\n850\t\t\t\t\"sessionId\": \"slash-session\",\n851\t\t\t\t\"message\": map[string]any{\n852\t\t\t\t\t\"id\": \"msg_001\",\n853\t\t\t\t\t\"role\": \"assistant\",\n854\t\t\t\t\t\"content\": []map[string]any{\n855\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"I'll fix the parser bug. The issue is in the regex matching logic on line 42. I'll update it to handle edge cases properly.\"},\n856\t\t\t\t\t},\n857\t\t\t\t},\n858\t\t\t},\n859\t\t\t{\n860\t\t\t\t\"type\": \"user\",\n861\t\t\t\t\"uuid\": \"u4\",\n862\t\t\t\t\"timestamp\": \"2026-04-05T12:01:00Z\",\n863\t\t\t\t\"sessionId\": \"slash-session\",\n864\t\t\t\t\"message\": map[string]any{\n865\t\t\t\t\t\"role\": \"user\",\n866\t\t\t\t\t\"content\": \"Thanks for the fix\",\n867\t\t\t\t},\n868\t\t\t},\n869\t\t\t{\n870\t\t\t\t\"type\": \"assistant\",\n871\t\t\t\t\"uuid\": \"a2\",\n872\t\t\t\t\"timestamp\": \"2026-04-05T12:01:05Z\",\n873\t\t\t\t\"sessionId\": \"slash-session\",\n874\t\t\t\t\"message\": map[string]any{\n875\t\t\t\t\t\"id\": \"msg_002\",\n876\t\t\t\t\t\"role\": \"assistant\",\n877\t\t\t\t\t\"content\": []map[string]any{\n878\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"You're welcome! The parser now handles all the edge cases correctly.\"},\n879\t\t\t\t\t},\n880\t\t\t\t},\n881\t\t\t},\n882\t\t})\n883\t\n884\t\tsession, err := ParseSession(path)\n885\t\tif err != nil {\n886\t\t\tt.Fatal(err)\n887\t\t}\n888\t\n889\t\t// Slash command and stdout messages should be filtered out.\n890\t\t// Only the real conversation should remain.\n891\t\tif len(session.TurnPairs) != 2 {\n892\t\t\tt.Fatalf(\"got %d turn pairs, want 2 (slash commands filtered)\", len(session.TurnPairs))\n893\t\t}\n894\t\n895\t\tif session.TurnPairs[0].HumanText != \"Now fix the bug in parser.go\" {\n896\t\t\tt.Errorf(\"first human text = %q, want real message\", session.TurnPairs[0].HumanText)\n897\t\t}\n898\t}\n899\t\n900\tfunc TestParseSession_MalformedLines(t *testing.T) {\n901\t\tdir := t.TempDir()\n902\t\tpath := filepath.Join(dir, \"malformed.jsonl\")\n903\t\tf, err := os.Create(path)\n904\t\tif err != nil {\n905\t\t\tt.Fatal(err)\n906\t\t}\n907\t\tf.WriteString(\"not json at all\\n\")\n908\t\tf.WriteString(`{\"type\": \"user\", \"uuid\": \"u1\", \"timestamp\": \"2026-04-05T12:00:00Z\", \"sessionId\": \"mal\", \"message\": {\"role\": \"user\", \"content\": \"Hello there\"}}` + \"\\n\")\n909\t\tf.WriteString(\"{truncated\\n\")\n910\t\tf.WriteString(`{\"type\": \"assistant\", \"uuid\": \"a1\", \"timestamp\": \"2026-04-05T12:00:05Z\", \"sessionId\": \"mal\", \"message\": {\"id\": \"msg_001\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"Hi! How can I help you with your code today? I am ready to assist.\"}]}}` + \"\\n\")\n911\t\tf.WriteString(`{\"type\": \"user\", \"uuid\": \"u2\", \"timestamp\": \"2026-04-05T12:01:00Z\", \"sessionId\": \"mal\", \"message\": {\"role\": \"user\", \"content\": \"Fix the tests\"}}` + \"\\n\")\n912\t\tf.WriteString(`{\"type\": \"assistant\", \"uuid\": \"a2\", \"timestamp\": \"2026-04-05T12:01:05Z\", \"sessionId\": \"mal\", \"message\": {\"id\": \"msg_002\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"I will fix the failing tests by updating the assertions to match the new behavior.\"}]}}` + \"\\n\")\n913\t\tf.Close()\n914\t\n915\t\tsession, err := ParseSession(path)\n916\t\tif err != nil {\n917\t\t\tt.Fatal(err)\n918\t\t}\n919\t\n920\t\tif len(session.TurnPairs) != 2 {\n921\t\t\tt.Fatalf(\"got %d turn pairs, want 2 (malformed lines skipped)\", len(session.TurnPairs))\n922\t\t}\n923\t}\n924\t\n925\tfunc TestParseSession_LocalCommandCaveat(t *testing.T) {\n926\t\tdir := t.TempDir()\n927\t\tpath := writeJSONL(t, dir, \"caveat.jsonl\", []jsonlEntry{\n928\t\t\t{\n929\t\t\t\t\"type\": \"user\",\n930\t\t\t\t\"uuid\": \"u1\",\n931\t\t\t\t\"timestamp\": \"2026-04-05T12:00:00Z\",\n932\t\t\t\t\"sessionId\": \"caveat-session\",\n933\t\t\t\t\"message\": map[string]any{\n934\t\t\t\t\t\"role\": \"user\",\n935\t\t\t\t\t\"content\": \"<local-command-caveat>Caveat: The messages below were generated by the user while running local commands.</local-command-caveat>\",\n936\t\t\t\t},\n937\t\t\t},\n938\t\t\t{\n939\t\t\t\t\"type\": \"user\",\n940\t\t\t\t\"uuid\": \"u2\",\n941\t\t\t\t\"timestamp\": \"2026-04-05T12:00:01Z\",\n942\t\t\t\t\"sessionId\": \"caveat-session\",\n943\t\t\t\t\"message\": map[string]any{\n944\t\t\t\t\t\"role\": \"user\",\n945\t\t\t\t\t\"content\": \"Implement the feature from the design doc we reviewed earlier today\",\n946\t\t\t\t},\n947\t\t\t},\n948\t\t\t{\n949\t\t\t\t\"type\": \"assistant\",\n950\t\t\t\t\"uuid\": \"a1\",\n951\t\t\t\t\"timestamp\": \"2026-04-05T12:00:05Z\",\n952\t\t\t\t\"sessionId\": \"caveat-session\",\n953\t\t\t\t\"message\": map[string]any{\n954\t\t\t\t\t\"id\": \"msg_001\",\n955\t\t\t\t\t\"role\": \"assistant\",\n956\t\t\t\t\t\"content\": []map[string]any{\n957\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"I'll implement the feature now. Starting with the core data structures and then building out the API layer.\"},\n958\t\t\t\t\t},\n959\t\t\t\t},\n960\t\t\t},\n961\t\t\t{\n962\t\t\t\t\"type\": \"user\",\n963\t\t\t\t\"uuid\": \"u3\",\n964\t\t\t\t\"timestamp\": \"2026-04-05T12:01:00Z\",\n965\t\t\t\t\"sessionId\": \"caveat-session\",\n966\t\t\t\t\"message\": map[string]any{\n967\t\t\t\t\t\"role\": \"user\",\n968\t\t\t\t\t\"content\": \"Looks good\",\n969\t\t\t\t},\n970\t\t\t},\n971\t\t\t{\n972\t\t\t\t\"type\": \"assistant\",\n973\t\t\t\t\"uuid\": \"a2\",\n974\t\t\t\t\"timestamp\": \"2026-04-05T12:01:05Z\",\n975\t\t\t\t\"sessionId\": \"caveat-session\",\n976\t\t\t\t\"message\": map[string]any{\n977\t\t\t\t\t\"id\": \"msg_002\",\n978\t\t\t\t\t\"role\": \"assistant\",\n979\t\t\t\t\t\"content\": []map[string]any{\n980\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"Great! All changes are committed and the tests are passing. The feature is ready for review.\"},\n981\t\t\t\t\t},\n982\t\t\t\t},\n983\t\t\t},\n984\t\t})\n985\t\n986\t\tsession, err := ParseSession(path)\n987\t\tif err != nil {\n988\t\t\tt.Fatal(err)\n989\t\t}\n990\t\n991\t\tif len(session.TurnPairs) != 2 {\n992\t\t\tt.Fatalf(\"got %d turn pairs, want 2\", len(session.TurnPairs))\n993\t\t}\n994\t\n995\t\tif session.TurnPairs[0].HumanText != \"Implement the feature from the design doc we reviewed earlier today\" {\n996\t\t\tt.Errorf(\"caveat not filtered, got: %q\", session.TurnPairs[0].HumanText)\n997\t\t}\n998\t}\n999\t\n1000\tfunc TestIsIndexable(t *testing.T) {\n1001\t\ttests := []struct {\n1002\t\t\tname string\n1003\t\t\tsession ParsedSession\n1004\t\t\twant bool\n1005\t\t}{\n1006\t\t\t{\n1007\t\t\t\tname: \"sufficient content\",\n1008\t\t\t\tsession: ParsedSession{\n1009\t\t\t\t\tTurnPairs: []TurnPair{\n1010\t\t\t\t\t\t{HumanText: \"q1\", AssistantText: strings.Repeat(\"a\", 100)},\n1011\t\t\t\t\t\t{HumanText: \"q2\", AssistantText: strings.Repeat(\"b\", 101)},\n1012\t\t\t\t\t},\n1013\t\t\t\t\tTotalAssistantChars: 201,\n1014\t\t\t\t},\n1015\t\t\t\twant: true,\n1016\t\t\t},\n1017\t\t\t{\n1018\t\t\t\tname: \"one turn pair\",\n1019\t\t\t\tsession: ParsedSession{\n1020\t\t\t\t\tTurnPairs: []TurnPair{\n1021\t\t\t\t\t\t{HumanText: \"q1\", AssistantText: strings.Repeat(\"a\", 300)},\n1022\t\t\t\t\t},\n1023\t\t\t\t\tTotalAssistantChars: 300,\n1024\t\t\t\t},\n1025\t\t\t\twant: false,\n1026\t\t\t},\n1027\t\t\t{\n1028\t\t\t\tname: \"below char threshold\",\n1029\t\t\t\tsession: ParsedSession{\n1030\t\t\t\t\tTurnPairs: []TurnPair{\n1031\t\t\t\t\t\t{HumanText: \"q1\", AssistantText: \"short\"},\n1032\t\t\t\t\t\t{HumanText: \"q2\", AssistantText: \"also short\"},\n1033\t\t\t\t\t},\n1034\t\t\t\t\tTotalAssistantChars: 15,\n1035\t\t\t\t},\n1036\t\t\t\twant: false,\n1037\t\t\t},\n1038\t\t\t{\n1039\t\t\t\tname: \"subagent pairs dont count toward minimum\",\n1040\t\t\t\tsession: ParsedSession{\n1041\t\t\t\t\tTurnPairs: []TurnPair{\n1042\t\t\t\t\t\t{HumanText: \"q1\", AssistantText: strings.Repeat(\"a\", 200)},\n1043\t\t\t\t\t\t{HumanText: \"q2\", AssistantText: \"sub\", IsSubagent: true},\n1044\t\t\t\t\t},\n1045\t\t\t\t\tTotalAssistantChars: 203,\n1046\t\t\t\t},\n1047\t\t\t\twant: false,\n1048\t\t\t},\n1049\t\t\t{\n1050\t\t\t\tname: \"empty session\",\n1051\t\t\t\tsession: ParsedSession{\n1052\t\t\t\t\tTurnPairs: nil,\n1053\t\t\t\t\tTotalAssistantChars: 0,\n1054\t\t\t\t},\n1055\t\t\t\twant: false,\n1056\t\t\t},\n1057\t\t}\n1058\t\n1059\t\tfor _, tt := range tests {\n1060\t\t\tt.Run(tt.name, func(t *testing.T) {\n1061\t\t\t\tgot := tt.session.IsIndexable()\n1062\t\t\t\tif got != tt.want {\n1063\t\t\t\t\tt.Errorf(\"IsIndexable() = %v, want %v\", got, tt.want)\n1064\t\t\t\t}\n1065\t\t\t})\n1066\t\t}\n1067\t}\n1068\t\n1069\tfunc TestParseSubagents(t *testing.T) {\n1070\t\tdir := t.TempDir()\n1071\t\tsessionDir := filepath.Join(dir, \"abc123\")\n1072\t\tsubagentsDir := filepath.Join(sessionDir, \"subagents\")\n1073\t\tif err := os.MkdirAll(subagentsDir, 0o755); err != nil {\n1074\t\t\tt.Fatal(err)\n1075\t\t}\n1076\t\n1077\t\t// Write agent JSONL.\n1078\t\twriteJSONL(t, subagentsDir, \"agent-af9a804171ec.jsonl\", []jsonlEntry{\n1079\t\t\t{\n1080\t\t\t\t\"type\": \"user\",\n1081\t\t\t\t\"uuid\": \"su1\",\n1082\t\t\t\t\"timestamp\": \"2026-04-05T12:00:00Z\",\n1083\t\t\t\t\"isSidechain\": true,\n1084\t\t\t\t\"message\": map[string]any{\n1085\t\t\t\t\t\"role\": \"user\",\n1086\t\t\t\t\t\"content\": \"Explore the codebase to find all API endpoints and their handlers\",\n1087\t\t\t\t},\n1088\t\t\t},\n1089\t\t\t{\n1090\t\t\t\t\"type\": \"assistant\",\n1091\t\t\t\t\"uuid\": \"sa1\",\n1092\t\t\t\t\"timestamp\": \"2026-04-05T12:00:10Z\",\n1093\t\t\t\t\"isSidechain\": true,\n1094\t\t\t\t\"message\": map[string]any{\n1095\t\t\t\t\t\"id\": \"msg_sub_001\",\n1096\t\t\t\t\t\"role\": \"assistant\",\n1097\t\t\t\t\t\"content\": []map[string]any{\n1098\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"Found 5 API endpoints in the server package: health, search, index, cleanup, and stats.\"},\n1099\t\t\t\t\t},\n1100\t\t\t\t},\n1101\t\t\t},\n1102\t\t\t{\n1103\t\t\t\t\"type\": \"user\",\n1104\t\t\t\t\"uuid\": \"su2\",\n1105\t\t\t\t\"timestamp\": \"2026-04-05T12:01:00Z\",\n1106\t\t\t\t\"isSidechain\": true,\n1107\t\t\t\t\"message\": map[string]any{\n1108\t\t\t\t\t\"role\": \"user\",\n1109\t\t\t\t\t\"content\": \"What about the MCP tool handlers?\",\n1110\t\t\t\t},\n1111\t\t\t},\n1112\t\t\t{\n1113\t\t\t\t\"type\": \"assistant\",\n1114\t\t\t\t\"uuid\": \"sa2\",\n1115\t\t\t\t\"timestamp\": \"2026-04-05T12:01:10Z\",\n1116\t\t\t\t\"isSidechain\": true,\n1117\t\t\t\t\"message\": map[string]any{\n1118\t\t\t\t\t\"id\": \"msg_sub_002\",\n1119\t\t\t\t\t\"role\": \"assistant\",\n1120\t\t\t\t\t\"content\": []map[string]any{\n1121\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"The MCP handlers are registered in server.go via registerTools(). Each tool is in its own file.\"},\n1122\t\t\t\t\t},\n1123\t\t\t\t},\n1124\t\t\t},\n1125\t\t})\n1126\t\n1127\t\t// Write meta.json.\n1128\t\tmetaData, _ := json.Marshal(agentMeta{AgentType: \"Explore\", Description: \"Explore API endpoints\"})\n1129\t\tif err := os.WriteFile(filepath.Join(subagentsDir, \"agent-af9a804171ec.meta.json\"), metaData, 0o644); err != nil {\n1130\t\t\tt.Fatal(err)\n1131\t\t}\n1132\t\n1133\t\tpairs, err := ParseSubagents(sessionDir)\n1134\t\tif err != nil {\n1135\t\t\tt.Fatal(err)\n1136\t\t}\n1137\t\n1138\t\tif len(pairs) != 2 {\n1139\t\t\tt.Fatalf(\"got %d sub-agent pairs, want 2\", len(pairs))\n1140\t\t}\n1141\t\n1142\t\tfor _, p := range pairs {\n1143\t\t\tif !p.IsSubagent {\n1144\t\t\t\tt.Error(\"sub-agent pair should have IsSubagent=true\")\n1145\t\t\t}\n1146\t\t\tif p.SubagentType != \"Explore\" {\n1147\t\t\t\tt.Errorf(\"SubagentType = %q, want %q\", p.SubagentType, \"Explore\")\n1148\t\t\t}\n1149\t\t\tif p.SubagentDesc != \"Explore API endpoints\" {\n1150\t\t\t\tt.Errorf(\"SubagentDesc = %q, want %q\", p.SubagentDesc, \"Explore API endpoints\")\n1151\t\t\t}\n1152\t\t}\n1153\t}\n1154\t\n1155\tfunc TestParseSubagents_NoDirectory(t *testing.T) {\n1156\t\tdir := t.TempDir()\n1157\t\tpairs, err := ParseSubagents(filepath.Join(dir, \"nonexistent\"))\n1158\t\tif err != nil {\n1159\t\t\tt.Fatal(err)\n1160\t\t}\n1161\t\tif len(pairs) != 0 {\n1162\t\t\tt.Errorf(\"got %d pairs for nonexistent dir, want 0\", len(pairs))\n1163\t\t}\n1164\t}\n1165\t\n1166\tfunc TestParseSession_ThinkingBlocksSkipped(t *testing.T) {\n1167\t\tdir := t.TempDir()\n1168\t\tpath := writeJSONL(t, dir, \"thinking.jsonl\", []jsonlEntry{\n1169\t\t\t{\n1170\t\t\t\t\"type\": \"user\",\n1171\t\t\t\t\"uuid\": \"u1\",\n1172\t\t\t\t\"timestamp\": \"2026-04-05T12:00:00Z\",\n1173\t\t\t\t\"sessionId\": \"think-session\",\n1174\t\t\t\t\"message\": map[string]any{\n1175\t\t\t\t\t\"role\": \"user\",\n1176\t\t\t\t\t\"content\": \"Explain the architecture in detail\",\n1177\t\t\t\t},\n1178\t\t\t},\n1179\t\t\t{\n1180\t\t\t\t\"type\": \"assistant\",\n1181\t\t\t\t\"uuid\": \"a1\",\n1182\t\t\t\t\"timestamp\": \"2026-04-05T12:00:05Z\",\n1183\t\t\t\t\"sessionId\": \"think-session\",\n1184\t\t\t\t\"message\": map[string]any{\n1185\t\t\t\t\t\"id\": \"msg_001\",\n1186\t\t\t\t\t\"role\": \"assistant\",\n1187\t\t\t\t\t\"content\": []map[string]any{\n1188\t\t\t\t\t\t{\"type\": \"thinking\", \"thinking\": \"\", \"signature\": \"ErcJClkIDRgCKkC+...base64...\"},\n1189\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"The architecture uses a layered approach with clear boundaries between the store, server, and config packages.\"},\n1190\t\t\t\t\t},\n1191\t\t\t\t},\n1192\t\t\t},\n1193\t\t\t{\n1194\t\t\t\t\"type\": \"user\",\n1195\t\t\t\t\"uuid\": \"u2\",\n1196\t\t\t\t\"timestamp\": \"2026-04-05T12:01:00Z\",\n1197\t\t\t\t\"sessionId\": \"think-session\",\n1198\t\t\t\t\"message\": map[string]any{\n1199\t\t\t\t\t\"role\": \"user\",\n1200\t\t\t\t\t\"content\": \"Can you elaborate on the store layer and its responsibilities?\",\n1201\t\t\t\t},\n1202\t\t\t},\n1203\t\t\t{\n1204\t\t\t\t\"type\": \"assistant\",\n1205\t\t\t\t\"uuid\": \"a2\",\n1206\t\t\t\t\"timestamp\": \"2026-04-05T12:01:05Z\",\n1207\t\t\t\t\"sessionId\": \"think-session\",\n1208\t\t\t\t\"message\": map[string]any{\n1209\t\t\t\t\t\"id\": \"msg_002\",\n1210\t\t\t\t\t\"role\": \"assistant\",\n1211\t\t\t\t\t\"content\": []map[string]any{\n1212\t\t\t\t\t\t{\"type\": \"thinking\", \"thinking\": \"\", \"signature\": \"def456...\"},\n1213\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"The store layer handles SQLite FTS5 indexing, search with BM25 ranking, and content lifecycle management through cleanup policies.\"},\n1214\t\t\t\t\t},\n1215\t\t\t\t},\n1216\t\t\t},\n1217\t\t})\n1218\t\n1219\t\tsession, err := ParseSession(path)\n1220\t\tif err != nil {\n1221\t\t\tt.Fatal(err)\n1222\t\t}\n1223\t\n1224\t\tif len(session.TurnPairs) != 2 {\n1225\t\t\tt.Fatalf(\"got %d turn pairs, want 2\", len(session.TurnPairs))\n1226\t\t}\n1227\t\n1228\t\t// Thinking content should NOT appear in assistant text.\n1229\t\tfor i, tp := range session.TurnPairs {\n1230\t\t\tif strings.Contains(tp.AssistantText, \"ErcJ\") || strings.Contains(tp.AssistantText, \"base64\") {\n1231\t\t\t\tt.Errorf(\"turn %d contains thinking signature in text\", i)\n1232\t\t\t}\n1233\t\t}\n1234\t}\n1235\t\n1236\tfunc TestParseSession_UserContentArrayWithMixedBlocks(t *testing.T) {\n1237\t\tdir := t.TempDir()\n1238\t\tpath := writeJSONL(t, dir, \"mixed.jsonl\", []jsonlEntry{\n1239\t\t\t{\n1240\t\t\t\t\"type\": \"user\",\n1241\t\t\t\t\"uuid\": \"u1\",\n1242\t\t\t\t\"timestamp\": \"2026-04-05T12:00:00Z\",\n1243\t\t\t\t\"sessionId\": \"mixed-session\",\n1244\t\t\t\t\"message\": map[string]any{\n1245\t\t\t\t\t\"role\": \"user\",\n1246\t\t\t\t\t\"content\": []map[string]any{\n1247\t\t\t\t\t\t{\"type\": \"tool_result\", \"tool_use_id\": \"toolu_prev\", \"content\": []map[string]any{\n1248\t\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"previous tool output here\"},\n1249\t\t\t\t\t\t}},\n1250\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"Based on that output, can you refactor the function to improve performance?\"},\n1251\t\t\t\t\t},\n1252\t\t\t\t},\n1253\t\t\t},\n1254\t\t\t{\n1255\t\t\t\t\"type\": \"assistant\",\n1256\t\t\t\t\"uuid\": \"a1\",\n1257\t\t\t\t\"timestamp\": \"2026-04-05T12:00:05Z\",\n1258\t\t\t\t\"sessionId\": \"mixed-session\",\n1259\t\t\t\t\"message\": map[string]any{\n1260\t\t\t\t\t\"id\": \"msg_001\",\n1261\t\t\t\t\t\"role\": \"assistant\",\n1262\t\t\t\t\t\"content\": []map[string]any{\n1263\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"I'll refactor the function to use a more efficient algorithm that reduces the time complexity from O(n^2) to O(n log n).\"},\n1264\t\t\t\t\t},\n1265\t\t\t\t},\n1266\t\t\t},\n1267\t\t\t{\n1268\t\t\t\t\"type\": \"user\",\n1269\t\t\t\t\"uuid\": \"u2\",\n1270\t\t\t\t\"timestamp\": \"2026-04-05T12:01:00Z\",\n1271\t\t\t\t\"sessionId\": \"mixed-session\",\n1272\t\t\t\t\"message\": map[string]any{\n1273\t\t\t\t\t\"role\": \"user\",\n1274\t\t\t\t\t\"content\": \"Good improvement\",\n1275\t\t\t\t},\n1276\t\t\t},\n1277\t\t\t{\n1278\t\t\t\t\"type\": \"assistant\",\n1279\t\t\t\t\"uuid\": \"a2\",\n1280\t\t\t\t\"timestamp\": \"2026-04-05T12:01:05Z\",\n1281\t\t\t\t\"sessionId\": \"mixed-session\",\n1282\t\t\t\t\"message\": map[string]any{\n1283\t\t\t\t\t\"id\": \"msg_002\",\n1284\t\t\t\t\t\"role\": \"assistant\",\n1285\t\t\t\t\t\"content\": []map[string]any{\n1286\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"Thanks! The benchmarks confirm the performance improvement is significant in production workloads.\"},\n1287\t\t\t\t\t},\n1288\t\t\t\t},\n1289\t\t\t},\n1290\t\t})\n1291\t\n1292\t\tsession, err := ParseSession(path)\n1293\t\tif err != nil {\n1294\t\t\tt.Fatal(err)\n1295\t\t}\n1296\t\n1297\t\tif len(session.TurnPairs) != 2 {\n1298\t\t\tt.Fatalf(\"got %d turn pairs, want 2\", len(session.TurnPairs))\n1299\t\t}\n1300\t\n1301\t\t// text block should be kept even when tool_result is present.\n1302\t\tgot := session.TurnPairs[0].HumanText\n1303\t\tif got != \"Based on that output, can you refactor the function to improve performance?\" {\n1304\t\t\tt.Errorf(\"mixed content text = %q\", got)\n1305\t\t}\n1306\t}\n1307\t\n1308\tfunc TestParseSession_SessionIDFromFilename(t *testing.T) {\n1309\t\tdir := t.TempDir()\n1310\t\tpath := writeJSONL(t, dir, \"deadbeef-1234-5678-9abc-def012345678.jsonl\", []jsonlEntry{\n1311\t\t\t{\n1312\t\t\t\t\"type\": \"permission-mode\",\n1313\t\t\t},\n1314\t\t})\n1315\t\n1316\t\tsession, err := ParseSession(path)\n1317\t\tif err != nil {\n1318\t\t\tt.Fatal(err)\n1319\t\t}\n1320\t\n1321\t\tif session.SessionID != \"deadbeef-1234-5678-9abc-def012345678\" {\n1322\t\t\tt.Errorf(\"SessionID = %q, want UUID from filename\", session.SessionID)\n1323\t\t}\n1324\t}\n1325\t\n1326\tfunc TestParseSession_TypeInferredFromMessageRole(t *testing.T) {\n1327\t\tdir := t.TempDir()\n1328\t\tpath := writeJSONL(t, dir, \"inferred.jsonl\", []jsonlEntry{\n1329\t\t\t{\n1330\t\t\t\t\"type\": \"user\",\n1331\t\t\t\t\"uuid\": \"u1\",\n1332\t\t\t\t\"timestamp\": \"2026-04-05T12:00:00Z\",\n1333\t\t\t\t\"sessionId\": \"inferred-session\",\n1334\t\t\t\t\"message\": map[string]any{\n1335\t\t\t\t\t\"role\": \"user\",\n1336\t\t\t\t\t\"content\": \"What is the project structure?\",\n1337\t\t\t\t},\n1338\t\t\t},\n1339\t\t\t// Assistant line without top-level \"type\" — type inferred from message.role.\n1340\t\t\t{\n1341\t\t\t\t\"uuid\": \"a1\",\n1342\t\t\t\t\"timestamp\": \"2026-04-05T12:00:05Z\",\n1343\t\t\t\t\"sessionId\": \"inferred-session\",\n1344\t\t\t\t\"message\": map[string]any{\n1345\t\t\t\t\t\"id\": \"msg_001\",\n1346\t\t\t\t\t\"role\": \"assistant\",\n1347\t\t\t\t\t\"content\": []map[string]any{\n1348\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"The project uses a standard Go layout with internal packages for core logic and cmd for CLI entry points.\"},\n1349\t\t\t\t\t},\n1350\t\t\t\t},\n1351\t\t\t},\n1352\t\t\t{\n1353\t\t\t\t\"type\": \"user\",\n1354\t\t\t\t\"uuid\": \"u2\",\n1355\t\t\t\t\"timestamp\": \"2026-04-05T12:01:00Z\",\n1356\t\t\t\t\"sessionId\": \"inferred-session\",\n1357\t\t\t\t\"message\": map[string]any{\n1358\t\t\t\t\t\"role\": \"user\",\n1359\t\t\t\t\t\"content\": \"Thanks for the clear explanation\",\n1360\t\t\t\t},\n1361\t\t\t},\n1362\t\t\t{\n1363\t\t\t\t\"uuid\": \"a2\",\n1364\t\t\t\t\"timestamp\": \"2026-04-05T12:01:05Z\",\n1365\t\t\t\t\"sessionId\": \"inferred-session\",\n1366\t\t\t\t\"message\": map[string]any{\n1367\t\t\t\t\t\"id\": \"msg_002\",\n1368\t\t\t\t\t\"role\": \"assistant\",\n1369\t\t\t\t\t\"content\": []map[string]any{\n1370\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"You're welcome! Feel free to ask about any specific package or module.\"},\n1371\t\t\t\t\t},\n1372\t\t\t\t},\n1373\t\t\t},\n1374\t\t})\n1375\t\n1376\t\tsession, err := ParseSession(path)\n1377\t\tif err != nil {\n1378\t\t\tt.Fatal(err)\n1379\t\t}\n1380\t\n1381\t\tif len(session.TurnPairs) != 2 {\n1382\t\t\tt.Fatalf(\"got %d turn pairs, want 2 (type inferred from message.role)\", len(session.TurnPairs))\n1383\t\t}\n1384\t\n1385\t\tif session.TurnPairs[0].AssistantText == \"\" {\n1386\t\t\tt.Error(\"assistant text should be extracted when type is inferred from message.role\")\n1387\t\t}\n1388\t}\n1389\t\n1390\tfunc TestParseSession_UserTextStartingWithSlash(t *testing.T) {\n1391\t\tdir := t.TempDir()\n1392\t\tpath := writeJSONL(t, dir, \"slashpath.jsonl\", []jsonlEntry{\n1393\t\t\t{\n1394\t\t\t\t\"type\": \"user\",\n1395\t\t\t\t\"uuid\": \"u1\",\n1396\t\t\t\t\"timestamp\": \"2026-04-05T12:00:00Z\",\n1397\t\t\t\t\"sessionId\": \"slashpath-session\",\n1398\t\t\t\t\"message\": map[string]any{\n1399\t\t\t\t\t\"role\": \"user\",\n1400\t\t\t\t\t\"content\": \"/etc/hosts has a misconfiguration, can you check it?\",\n1401\t\t\t\t},\n1402\t\t\t},\n1403\t\t\t{\n1404\t\t\t\t\"type\": \"assistant\",\n1405\t\t\t\t\"uuid\": \"a1\",\n1406\t\t\t\t\"timestamp\": \"2026-04-05T12:00:05Z\",\n1407\t\t\t\t\"sessionId\": \"slashpath-session\",\n1408\t\t\t\t\"message\": map[string]any{\n1409\t\t\t\t\t\"id\": \"msg_001\",\n1410\t\t\t\t\t\"role\": \"assistant\",\n1411\t\t\t\t\t\"content\": []map[string]any{\n1412\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"I'll check the hosts file configuration for any issues with DNS resolution or incorrect entries.\"},\n1413\t\t\t\t\t},\n1414\t\t\t\t},\n1415\t\t\t},\n1416\t\t\t{\n1417\t\t\t\t\"type\": \"user\",\n1418\t\t\t\t\"uuid\": \"u2\",\n1419\t\t\t\t\"timestamp\": \"2026-04-05T12:01:00Z\",\n1420\t\t\t\t\"sessionId\": \"slashpath-session\",\n1421\t\t\t\t\"message\": map[string]any{\n1422\t\t\t\t\t\"role\": \"user\",\n1423\t\t\t\t\t\"content\": \"That fixed it\",\n1424\t\t\t\t},\n1425\t\t\t},\n1426\t\t\t{\n1427\t\t\t\t\"type\": \"assistant\",\n1428\t\t\t\t\"uuid\": \"a2\",\n1429\t\t\t\t\"timestamp\": \"2026-04-05T12:01:05Z\",\n1430\t\t\t\t\"sessionId\": \"slashpath-session\",\n1431\t\t\t\t\"message\": map[string]any{\n1432\t\t\t\t\t\"id\": \"msg_002\",\n1433\t\t\t\t\t\"role\": \"assistant\",\n1434\t\t\t\t\t\"content\": []map[string]any{\n1435\t\t\t\t\t\t{\"type\": \"text\", \"text\": \"Great! The hosts file is now properly configured with the correct entries.\"},\n1436\t\t\t\t\t},\n1437\t\t\t\t},\n1438\t\t\t},\n1439\t\t})\n1440\t\n1441\t\tsession, err := ParseSession(path)\n1442\t\tif err != nil {\n1443\t\t\tt.Fatal(err)\n1444\t\t}\n1445\t\n1446\t\tif len(session.TurnPairs) != 2 {\n1447\t\t\tt.Fatalf(\"got %d turn pairs, want 2 (path starting with / should not be filtered)\", len(session.TurnPairs))\n1448\t\t}\n1449\t\n1450\t\tif session.TurnPairs[0].HumanText != \"/etc/hosts has a misconfiguration, can you check it?\" {\n1451\t\t\tt.Errorf(\"user text starting with / was incorrectly filtered: %q\", session.TurnPairs[0].HumanText)\n1452\t\t}\n1453\t}\n1454\t\n1455\t"}]},"uuid":"076fdf8e-3c65-4fcf-b98d-9c9323b21117","timestamp":"2026-05-07T06:48:13.806Z","sourceToolAssistantUUID":"992eb7b2-b16b-4844-9278-a21a9e7f2152","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"5cb1eaa9-7f06-465a-8901-ebe450145a10","isSidechain":true,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","agentId":"a170fb21fbbd73e4e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011gt8Bp9oQxtupwjzKC11xq","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"13c74613-2f63-4c6c-94b0-816ee018c2f9","timestamp":"2026-05-07T06:48:14.026Z","sourceToolAssistantUUID":"5cb1eaa9-7f06-465a-8901-ebe450145a10","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"13c74613-2f63-4c6c-94b0-816ee018c2f9","isSidechain":true,"agentId":"a170fb21fbbd73e4e","message":{"model":"claude-sonnet-4-6","id":"msg_019HYhyHtekb3GedzvpXVsR5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KF6bkvskyJLHH9CEoQ91NG","name":"Bash","input":{"command":"grep -n \"MaxChunkBytes\\|SplitOversized\" /Users/sergio/Projects/personal/capy/internal/store/*.go 2>/dev/null | head -20","description":"Find MaxChunkBytes and SplitOversized in store package"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":17809,"cache_read_input_tokens":24829,"output_tokens":126,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":17809},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011Canm77XdttFMxqmtWUgw5","attributionAgent":"Explore","type":"assistant","uuid":"87016365-9280-44b9-8ee3-02798abfe3e9","timestamp":"2026-05-07T06:48:17.360Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"87016365-9280-44b9-8ee3-02798abfe3e9","isSidechain":true,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","agentId":"a170fb21fbbd73e4e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KF6bkvskyJLHH9CEoQ91NG","type":"tool_result","content":"/Users/sergio/Projects/personal/capy/internal/store/chunk.go:12:const MaxChunkBytes = 4096\n/Users/sergio/Projects/personal/capy/internal/store/chunk.go:25:\t\tmaxBytes = MaxChunkBytes\n/Users/sergio/Projects/personal/capy/internal/store/chunk.go:49:\t\t\tchunks = append(chunks, SplitOversized(text, title, maxBytes)...)\n/Users/sergio/Projects/personal/capy/internal/store/chunk.go:115:// SplitOversized splits a chunk that exceeds maxBytes at paragraph boundaries.\n/Users/sergio/Projects/personal/capy/internal/store/chunk.go:116:func SplitOversized(text, title string, maxBytes int) []Chunk {\n/Users/sergio/Projects/personal/capy/internal/store/chunk.go:244:\t\tmaxBytes = MaxChunkBytes\n/Users/sergio/Projects/personal/capy/internal/store/index.go:178:\t\tchunks = chunkMarkdown(content, MaxChunkBytes)\n/Users/sergio/Projects/personal/capy/internal/store/index.go:180:\t\tchunks = chunkJSON(content, MaxChunkBytes)\n/Users/sergio/Projects/personal/capy/internal/store/store_test.go:138:\tchunks := chunkMarkdown(md, MaxChunkBytes)\n/Users/sergio/Projects/personal/capy/internal/store/store_test.go:146:\tchunks := chunkMarkdown(md, MaxChunkBytes)\n/Users/sergio/Projects/personal/capy/internal/store/store_test.go:158:\t// Create content that exceeds MaxChunkBytes.\n/Users/sergio/Projects/personal/capy/internal/store/store_test.go:170:\tchunks := chunkMarkdown(text, MaxChunkBytes)\n/Users/sergio/Projects/personal/capy/internal/store/store_test.go:177:\tchunks := chunkMarkdown(md, MaxChunkBytes)\n/Users/sergio/Projects/personal/capy/internal/store/store_test.go:215:\tchunks := chunkJSON(j, MaxChunkBytes)\n/Users/sergio/Projects/personal/capy/internal/store/store_test.go:221:\tchunks := chunkJSON(j, MaxChunkBytes)\n/Users/sergio/Projects/personal/capy/internal/store/store_test.go:235:\tchunks := chunkJSON(j, MaxChunkBytes)\n/Users/sergio/Projects/personal/capy/internal/store/store_test.go:240:\tchunks := chunkJSON(\"not json at all {{{\", MaxChunkBytes)\n/Users/sergio/Projects/personal/capy/internal/store/store_test.go:250:\t\tchunks := chunkJSON(j, MaxChunkBytes)\n/Users/sergio/Projects/personal/capy/internal/store/store_test.go:262:\tchunks := chunkJSON(j, MaxChunkBytes)","is_error":false}]},"uuid":"cd868010-4171-4812-8711-7c169ba79d18","timestamp":"2026-05-07T06:48:17.632Z","sourceToolAssistantUUID":"87016365-9280-44b9-8ee3-02798abfe3e9","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"cd868010-4171-4812-8711-7c169ba79d18","isSidechain":true,"agentId":"a170fb21fbbd73e4e","message":{"model":"claude-sonnet-4-6","id":"msg_01D1HfjLrFERe3yPkPTeQ5Eh","type":"message","role":"assistant","content":[{"type":"text","text":"Here is the complete breakdown of the session parsing and indexing implementation:\n\n---\n\n## Filtering Rules (parse.go)\n\n### What is KEPT\n\n**User messages:**\n- Lines with `type: \"user\"` that have a parsed `message` field\n- Content blocks of type `\"text\"` (after noise stripping)\n- Mixed blocks where at least one `\"text\"` block is present (tool_result blocks alongside text are silently dropped; only the text is kept — lines 278–293)\n\n**Assistant messages:**\n- `\"text\"` blocks — text content is extracted verbatim (lines 309–312)\n- `\"tool_use\"` blocks — **only the `name` field is kept** (e.g. `\"Read\"`, `\"Edit\"`, `\"mcp__pal__chat\"`); all `input` content is **dropped** (lines 314–318)\n\n**System messages:**\n- `type: \"system\"`, `subtype: \"away_summary\"` — the `content` field is kept as a standalone TurnPair with empty HumanText (lines 178–183, 236–243)\n\n### What is SKIPPED\n\n| Condition | Why |\n|---|---|\n| `type` not in `\"user\"`, `\"assistant\"`, `\"system\"` | Switch default falls through (e.g. `\"permission-mode\"`, `\"attachment\"`) |\n| `type: \"system\"` but subtype ≠ `\"away_summary\"` | Only away summaries are captured |\n| User message with no `message` field (`hasMsgP == false`) | Line 202 `continue` |\n| User message that is entirely `tool_result` blocks | `extractUserText` returns `\"\"` when `hasText == false` (line 290) |\n| Assistant message with 0 merged blocks | Line 220 `continue` |\n| Assistant message with empty text AND no tool names | Line 224–225 `continue` |\n| `\"thinking\"` blocks | Not matched in the `extractAssistantBlocks` switch — silently dropped |\n| `<system-reminder>...</system-reminder>` tags | Stripped by `sysReminderRe` regex (line 298) |\n| `<local-command-caveat>`, `<local-command-stdout>`, `<command-name>`, `<command-message>`, `<command-args>` tags | Stripped by `noiseTagRe` regex (line 299) |\n| User text that is empty after stripping | `cleanUserText` returns `\"\"`, which causes the message to be skipped |\n| Malformed JSON lines | Logged at `WARN` and skipped (line 122–124) |\n\n### MCP Tool Calls (e.g. `mcp__pal__chat`)\nThere is **no special handling** for MCP tool names. The `extractAssistantBlocks` function extracts `b.Name` for any `\"tool_use\"` block regardless of naming convention. So `mcp__pal__chat`, `mcp__capy__capy_search`, etc. are stored verbatim as tool name strings — their `input` content (the full arguments JSON) is dropped entirely.\n\n---\n\n## Progressive Snapshot Merging (parse.go lines 97–183)\n\nClaude Code writes **one content block per JSONL line** with the same `message.id` (non-cumulative format). The first pass groups all lines sharing the same `message.id` into `mergedBlocks`, using a dedup check (comparing `Type`, `Text`, `Name`, `ID`) to handle older cumulative-format files. The first line seen for a given `message.id` creates the entry; all subsequent lines for the same ID **append** blocks to the existing entry rather than creating new entries (`assistantLastIdx` map, lines 158–176).\n\n---\n\n## Types\n\n**`ParsedSession`** (lines 16–21):\n- `SessionID string`\n- `StartTime time.Time`\n- `TurnPairs []TurnPair`\n- `TotalAssistantChars int`\n\n**`TurnPair`** (lines 24–31):\n- `HumanText string`\n- `AssistantText string`\n- `ToolNames []string`\n- `IsSubagent bool`\n- `SubagentType string`\n- `SubagentDesc string`\n\n**`IsIndexable`** threshold: `>= 2 non-subagent turn pairs` AND `>= 200 total assistant chars` (lines 35–43).\n\n---\n\n## Transcript Format (transcript.go)\n\n```\nHuman: <HumanText>\nAssistant: <AssistantText>\n[Tools: name1, name2, ...] ← omitted if no tools\n\n[Session summary: <away_summary text>] ← for away_summary turns\n\n--- Subagent: <type> — \"<desc>\" ---\nHuman: ...\nAssistant: ...\n[Tools: ...]\n--- End subagent ---\n```\n\n`TranscriptResult` carries `Text string` plus `Offsets []TurnOffset` (byte `[Start, End)` per turn pair) so chunking slices by boundary without re-parsing.\n\n---\n\n## Chunking Parameters (chunk.go + store/chunk.go)\n\n| Parameter | Value | Source |\n|---|---|---|\n| `defaultWindowSize` | `4` turn pairs per chunk | `chunk.go:13` |\n| `defaultOverlap` | `1` turn pair | `chunk.go:14` |\n| Effective step | `3` (`windowSize - overlap`) | `chunk.go:49` |\n| `MaxChunkBytes` | `4096` bytes | `store/chunk.go:12` |\n\nIf the entire transcript fits within `MaxChunkBytes`, it is emitted as one chunk. Otherwise a sliding window of 4 turns (step 3) is used. Oversized windows are split at paragraph boundaries by `store.SplitOversized`.\n\n**Chunk title format:** `Session 2006-01-02T15:04:05Z | Turns N-M | Subagent: <type> | Tools: name1, name2, ...`\n\n---\n\n## Sweep Orchestration (sweep.go)\n\n- `SessionDir` mangles the project path (replacing `/` and `.` with `-`) to find `~/.claude/projects/<mangled>/`\n- Skip condition: file mtime (and `<uuid>/subagents/` dir mtime) has not advanced past the stored `indexed_at` timestamp\n- Label format: `session:<ISO-datetime>:<UUID>`\n- Sanitization (`sanitize.StripSecrets`) runs **before** `BuildTranscript` so byte offsets remain valid (line 317–318)\n- Sub-agent JSONL files are looked up under `<uuid>/subagents/agent-*.jsonl` with metadata from `agent-*.meta.json`\n- Partial sub-agent failure is logged but does not abort the parent session indexing"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":871,"cache_read_input_tokens":42638,"output_tokens":1661,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":871},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011Canm7Nvr3HbzK7y8JP5UJ","attributionAgent":"Explore","type":"assistant","uuid":"da125f11-a005-4174-afde-58bbb81e468f","timestamp":"2026-05-07T06:48:51.811Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
Raw
agent-a652d500fa9892abc.jsonl
{"parentUuid":null,"isSidechain":true,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","agentId":"a652d500fa9892abc","type":"user","message":{"role":"user","content":"Find the file shared-profile-detection.md under /Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/. Report the full path. Quick search.<context_window_protection>\n <priority_instructions>\n Raw tool output floods your context window. You MUST use capy\n MCP tools to keep raw data in the sandbox.\n </priority_instructions>\n\n <tool_selection_hierarchy>\n 1. GATHER: capy_batch_execute(commands, queries)\n - Primary tool for research. Runs all commands, auto-indexes, and searches.\n - ONE call replaces many individual steps.\n 2. FOLLOW-UP: capy_search(queries: [\"q1\", \"q2\", ...])\n - Use for all follow-up questions. ONE call, many queries.\n 3. PROCESSING: capy_execute(language, code) | capy_execute_file(path, language, code)\n - Use for API calls, log analysis, and data processing.\n </tool_selection_hierarchy>\n\n <forbidden_actions>\n - DO NOT use Bash for commands producing >20 lines of output.\n - For large files (10k+ lines), prefer execute_file when you only need derived answers (counts, patterns). Read IS correct for any file you need to understand, follow as instructions, or edit.\n - DO NOT use capy_index on instruction files (skills, checklists, configs, plugin files). Read them directly — they must be internalized whole, not searched as fragments.\n - DO NOT use WebFetch (use capy_fetch_and_index instead).\n - Bash is ONLY for git/mkdir/rm/mv/navigation.\n </forbidden_actions>\n\n <output_constraints>\n <word_limit>Keep your final response under 500 words.</word_limit>\n <artifact_policy>\n Write artifacts (code, configs, PRDs) to FILES. NEVER return them as inline text.\n Return only: file path + 1-line description.\n </artifact_policy>\n <response_format>\n Your response must be a concise summary:\n - Actions taken (2-3 bullets)\n - File paths created/modified\n - Knowledge base source labels (so parent can search)\n - Key findings\n </response_format>\n </output_constraints>\n\n <capy_commands>\n When the user says \"capy stats\" or asks about context savings:\n → Call the capy_stats MCP tool and display the full output verbatim.\n\n When the user says \"capy doctor\" or asks to diagnose capy:\n → Call the capy_doctor MCP tool and display results as a checklist.\n </capy_commands>\n</context_window_protection>"},"uuid":"c3a67310-8fdf-4abe-a3da-d709378b094b","timestamp":"2026-05-07T06:51:46.492Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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b73c8a63-0710-494e-9748-1bcce18ddfef.jsonl
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{"type":"ai-title","aiTitle":"Analyze session indexing issue and document RAG design v2","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
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{"parentUuid":"dfc040e0-238c-4541-b5d5-8124118bee84","isSidechain":false,"attachment":{"type":"hook_additional_context","content":["<context_guidance>\n <tip>\n This Bash command may produce large output. To stay efficient:\n - Use capy_batch_execute(commands, queries) for multiple commands\n - Use capy_execute(language: \"shell\", code: \"...\") to run in sandbox\n - Only your final printed summary will enter the context.\n - Bash is best for: git, mkdir, rm, mv, navigation, and short-output commands only.\n </tip>\n</context_guidance>"],"hookName":"PreToolUse:Bash","toolUseID":"toolu_01KcU9u5Pwwn8TxC7VMtk8Pg","hookEvent":"PreToolUse"},"type":"attachment","uuid":"4cbe6f33-0f0b-439e-903d-73dc049709bf","timestamp":"2026-05-07T06:47:14.832Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"2fb77287-7b29-4355-a7dc-a2e5a385c7b2","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KcU9u5Pwwn8TxC7VMtk8Pg","type":"tool_result","content":"{\"body\":\"## Problem\\n\\nComparing raw JSONL against indexed session content reveals significant gaps in what session indexing captures. The indexed sessions preserve design decisions and text-based reasoning well, but lose substantial content from tool-heavy exchanges.\\n\\n## Findings\\n\\nTested against session `b5ee5362` (sessionflow-RAG design session): 336 turns, 135 user messages, 201 assistant messages, ~100 exchanges.\\n\\n### 1. Tool-only turns are invisible (~60% of turns)\\n\\nAssistant turns that are pure tool calls (Read, Bash, Edit, Write) with no accompanying text show as empty in the indexed output. The exploration phase where the assistant reads codebase files to understand the project is almost entirely lost.\\n\\n### 2. MCP tool call content is stripped\\n\\n`mcp__pal__chat` (and similar MCP tool calls) contain full back-and-forth conversations, but `tool_use` input/content is filtered during indexing. Only Claude's post-tool text summaries survive. In the design session, multiple PAL review exchanges with significant design reasoning are reduced to \\\"I consulted PAL and here's what I think.\\\"\\n\\n### 3. Coarse chunking merges intermediate exchanges\\n\\nThe session was chunked into ~10 windows (turns 1-4, 4-7, etc.) from ~100 exchanges. Some intermediate exchanges fall between chunk boundaries and are harder to retrieve.\\n\\n### 4. User tool_result messages are empty\\n\\nUser messages containing only `tool_result` blocks (automatic returns from tool calls) index as empty — expected but contributes to the sparseness.\\n\\n## Potential Improvements\\n\\n- **Tool call summaries**: For tool_use blocks, index at minimum the tool name + a truncated version of the input (e.g., file path for Read, command for Bash, first N chars for MCP tools). This preserves the \\\"what was done\\\" even if the full output is dropped.\\n - Needs a bit more thinking. Which tool calls are useful to preserve vs those that aren't. Certainly don't preserve calls to self (`mcp__capy__*`), most other mcp stuff might also be useless. File reads? Maybe, but likely debatable at best. Bash? Useful in some situations (git commands - no, debugging scripts, exploration - yes)\\n- **MCP conversation content**: For conversational MCP tools like `mcp__pal__chat`, the input text is human-readable design discussion — worth indexing as part of the transcript rather than stripping. This is very similar in value to preserving sub-agent conversations.\\n- **Finer chunking**: Consider smaller sliding windows or exchange-aligned chunking to reduce information loss at boundaries.\\n\\n## Reproduction\\n\\nQuery via capy_search:\\n```\\ncapy_search(\\n queries: [\\\"sessionflow RAG design\\\"],\\n include_kinds: [\\\"session\\\"],\\n source: \\\"b5ee5362-8700-4c9c-8278-51cb58c2e096\\\"\\n)\\n```\\n\\nRaw JSONL attached below for comparison against indexed output.\\n\\n## Context\\n\\nDiscovered during a comparison of capy_search results vs raw JSONL for the sessionflow-RAG design session (2026-04-23).\",\"comments\":[{\"id\":\"IC_kwDORqt2d88AAAABBcWFcQ\",\"author\":{\"login\":\"serpro69\"},\"authorAssociation\":\"OWNER\",\"body\":\"## Attached session file\\n\\nRaw JSONL: https://gist.github.com/serpro69/5f5bef3734ddd548b0881c0f03802980\\n\\n**Security scan result:** No secrets, API keys, tokens, passwords, PII, or sensitive env values found. Only content is public capy source code, design docs, and Anthropic thinking-block signatures (standard base64, not secrets).\",\"createdAt\":\"2026-05-06T20:21:24Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/serpro69/capy/issues/41#issuecomment-4391798129\",\"viewerDidAuthor\":true}],\"labels\":[{\"id\":\"LA_kwDORqt2d88AAAACb6Yi6g\",\"name\":\"🚀 enhancement\",\"description\":\"New feature or request\",\"color\":\"a2eeef\"}],\"title\":\"Session indexing loses tool call content and PAL conversations\"}","is_error":false}]},"uuid":"ffbefc76-8e21-4a87-9ec7-f774795cd12a","timestamp":"2026-05-07T06:47:30.957Z","toolUseResult":{"stdout":"{\"body\":\"## Problem\\n\\nComparing raw JSONL against indexed session content reveals significant gaps in what session indexing captures. The indexed sessions preserve design decisions and text-based reasoning well, but lose substantial content from tool-heavy exchanges.\\n\\n## Findings\\n\\nTested against session `b5ee5362` (sessionflow-RAG design session): 336 turns, 135 user messages, 201 assistant messages, ~100 exchanges.\\n\\n### 1. Tool-only turns are invisible (~60% of turns)\\n\\nAssistant turns that are pure tool calls (Read, Bash, Edit, Write) with no accompanying text show as empty in the indexed output. The exploration phase where the assistant reads codebase files to understand the project is almost entirely lost.\\n\\n### 2. MCP tool call content is stripped\\n\\n`mcp__pal__chat` (and similar MCP tool calls) contain full back-and-forth conversations, but `tool_use` input/content is filtered during indexing. Only Claude's post-tool text summaries survive. In the design session, multiple PAL review exchanges with significant design reasoning are reduced to \\\"I consulted PAL and here's what I think.\\\"\\n\\n### 3. Coarse chunking merges intermediate exchanges\\n\\nThe session was chunked into ~10 windows (turns 1-4, 4-7, etc.) from ~100 exchanges. Some intermediate exchanges fall between chunk boundaries and are harder to retrieve.\\n\\n### 4. User tool_result messages are empty\\n\\nUser messages containing only `tool_result` blocks (automatic returns from tool calls) index as empty — expected but contributes to the sparseness.\\n\\n## Potential Improvements\\n\\n- **Tool call summaries**: For tool_use blocks, index at minimum the tool name + a truncated version of the input (e.g., file path for Read, command for Bash, first N chars for MCP tools). This preserves the \\\"what was done\\\" even if the full output is dropped.\\n - Needs a bit more thinking. Which tool calls are useful to preserve vs those that aren't. Certainly don't preserve calls to self (`mcp__capy__*`), most other mcp stuff might also be useless. File reads? Maybe, but likely debatable at best. Bash? Useful in some situations (git commands - no, debugging scripts, exploration - yes)\\n- **MCP conversation content**: For conversational MCP tools like `mcp__pal__chat`, the input text is human-readable design discussion — worth indexing as part of the transcript rather than stripping. This is very similar in value to preserving sub-agent conversations.\\n- **Finer chunking**: Consider smaller sliding windows or exchange-aligned chunking to reduce information loss at boundaries.\\n\\n## Reproduction\\n\\nQuery via capy_search:\\n```\\ncapy_search(\\n queries: [\\\"sessionflow RAG design\\\"],\\n include_kinds: [\\\"session\\\"],\\n source: \\\"b5ee5362-8700-4c9c-8278-51cb58c2e096\\\"\\n)\\n```\\n\\nRaw JSONL attached below for comparison against indexed output.\\n\\n## Context\\n\\nDiscovered during a comparison of capy_search results vs raw JSONL for the sessionflow-RAG design session (2026-04-23).\",\"comments\":[{\"id\":\"IC_kwDORqt2d88AAAABBcWFcQ\",\"author\":{\"login\":\"serpro69\"},\"authorAssociation\":\"OWNER\",\"body\":\"## Attached session file\\n\\nRaw JSONL: https://gist.github.com/serpro69/5f5bef3734ddd548b0881c0f03802980\\n\\n**Security scan result:** No secrets, API keys, tokens, passwords, PII, or sensitive env values found. Only content is public capy source code, design docs, and Anthropic thinking-block signatures (standard base64, not secrets).\",\"createdAt\":\"2026-05-06T20:21:24Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/serpro69/capy/issues/41#issuecomment-4391798129\",\"viewerDidAuthor\":true}],\"labels\":[{\"id\":\"LA_kwDORqt2d88AAAACb6Yi6g\",\"name\":\"🚀 enhancement\",\"description\":\"New feature or request\",\"color\":\"a2eeef\"}],\"title\":\"Session indexing loses tool call content and PAL conversations\"}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"2fb77287-7b29-4355-a7dc-a2e5a385c7b2","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"ffbefc76-8e21-4a87-9ec7-f774795cd12a","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"toolu_01BcAPG92sLajvyzXW4914Pn","hookEvent":"PreToolUse","content":"","stdout":"{\"hookSpecificOutput\":{\"additionalContext\":\"\\u003ccontext_guidance\\u003e\\n \\u003ctip\\u003e\\n Read is the right default. Use offset/limit to scope large files.\\n Only reach for capy_execute_file when the file is genuinely large (10k+ lines)\\n AND you want a derived answer (count, stats, extracted pattern), not the content itself.\\n If an Edit will follow, just Read — capy_execute_file beforehand is pure overhead.\\n \\u003c/tip\\u003e\\n\\u003c/context_guidance\\u003e\",\"hookEventName\":\"PreToolUse\"}}","stderr":"","exitCode":0,"command":"bash $CLAUDE_PROJECT_DIR/.claude/scripts/capy.sh hook pretooluse","durationMs":20},"type":"attachment","uuid":"0080d612-1798-469b-90ae-2947785e5622","timestamp":"2026-05-07T06:47:30.987Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"0080d612-1798-469b-90ae-2947785e5622","isSidechain":false,"attachment":{"type":"hook_additional_context","content":["<context_guidance>\n <tip>\n Read is the right default. Use offset/limit to scope large files.\n Only reach for capy_execute_file when the file is genuinely large (10k+ lines)\n AND you want a derived answer (count, stats, extracted pattern), not the content itself.\n If an Edit will follow, just Read — capy_execute_file beforehand is pure overhead.\n </tip>\n</context_guidance>"],"hookName":"PreToolUse:Read","toolUseID":"toolu_01BcAPG92sLajvyzXW4914Pn","hookEvent":"PreToolUse"},"type":"attachment","uuid":"7881edea-7841-4fca-9272-9bb7f2f4d509","timestamp":"2026-05-07T06:47:30.987Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"6a8541b0-45ea-49e7-b503-ec1613fb31b4","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BcAPG92sLajvyzXW4914Pn","type":"tool_result","content":"1\t# Sessionflow RAG — Implementation Plan\n2\t\n3\t> **Design:** [./design.md](./design.md)\n4\t> **Issue:** [#24](https://github.com/serpro69/capy/issues/24)\n5\t> **Created:** 2026-04-23\n6\t\n7\tThis plan is ordered for incremental development. Each task builds on the previous and can be verified independently. The developer should be familiar with Go and SQLite but may have no prior context on the capy codebase.\n8\t\n9\t## Prerequisites\n10\t\n11\tRead these files before starting:\n12\t- `CONTRIBUTING.md` — build instructions, test patterns, project structure\n13\t- `internal/store/types.go` — source kinds, chunk types, search/index result types\n14\t- `internal/store/schema.go` — FTS5 schema\n15\t- `internal/store/index.go` — `Index()` function, content_hash dedup, `chunkContent` routing\n16\t- `internal/store/cleanup.go` — retention scoring, `cleanupEphemeral`, `Cleanup()`\n17\t- `internal/store/chunk.go` — `chunkPlainText`, `chunkMarkdown`, splitting strategies\n18\t- `internal/server/server.go` — `Server` struct, `Serve()`, `getStore()`, `ephemeralTTL()`\n19\t- `internal/config/config.go` — `Config`, `CleanupConfig`, `DefaultConfig()`\n20\t- `docs/adr/017-source-kind-separation.md` — why source kinds exist, the `IncludeKinds` design\n21\t\n22\tAll tests require `-tags fts5`. Use `make test` or `go test -tags fts5 -count=1 ./...`.\n23\t\n24\t---\n25\t\n26\t## Phase 1: Storage Foundation\n27\t\n28\t### 1.1 Add KindSession to types\n29\t\n30\t**File:** `internal/store/types.go`\n31\t\n32\t- Add `KindSession SourceKind = \"session\"` constant.\n33\t- Update `Valid()` to return true for `KindSession`.\n34\t- Add session-specific fields to `StoreStats`: `SessionSourceCount`, `SessionFreshCount`, `SessionStaleCount`.\n35\t\n36\t**Verify:** existing tests still pass (`go test -tags fts5 ./internal/store/...`). No behavioral change yet.\n37\t\n38\t### 1.2 Schema migration and migration tracker\n39\t\n40\t**Files:** `internal/store/migrate.go`, `internal/store/schema.go`\n41\t\n42\tThis is the second migration, which triggers the TODO at `migrate.go:15-16`. Three things must happen:\n43\t\n44\t**A. Add a migration-tracking table.** Before running the new migration, create:\n45\t```sql\n46\tCREATE TABLE IF NOT EXISTS migrations (\n47\t name TEXT PRIMARY KEY,\n48\t applied_at TEXT DEFAULT CURRENT_TIMESTAMP\n49\t)\n50\t```\n51\tThen retroactively record migration 017 as already applied (`INSERT OR IGNORE INTO migrations (name) VALUES ('017_add_source_kind')`). This replaces the PRAGMA-based idempotency check for future migrations.\n52\t\n53\t**B. Handle two DB populations.** There are two shapes of `sources` table in the wild:\n54\t- **Migrated DBs** (had `ALTER TABLE ADD COLUMN kind`): these lack a CHECK constraint entirely (SQLite's ALTER TABLE ADD COLUMN does not support CHECK — see `migrate.go:67-69`). Inserting `kind='session'` already works. The migration just needs to record itself in the tracker.\n55\t- **Fresh DBs** (created with `schemaSQL`): these have `CHECK (kind IN ('ephemeral', 'durable'))`. These require a table rebuild: create new table with updated CHECK → copy data → drop old → rename.\n56\t\n57\tDetection: attempt `INSERT INTO sources (label, content_type, kind) VALUES ('__migration_probe', 'plaintext', 'session')` inside the transaction. If it succeeds, rollback the probe row — no table rebuild needed. If it fails with a constraint error, do the table rebuild.\n58\t\n59\t**C. Update `schemaSQL`** in `schema.go` to include `'session'` in the CHECK constraint so future fresh DBs accept the new kind.\n60\t\n61\t**Verify:** `go test -tags fts5 ./internal/store/...` — migration applies on both fresh and migrated DBs. Insert `kind='session'` succeeds. Migration tracker table exists with both migrations recorded.\n62\t\n63\t### 1.3 Config: SessionTTLDays\n64\t\n65\t**File:** `internal/config/config.go`\n66\t\n67\t- Add `SessionTTLDays int` to `CleanupConfig` with toml tag `session_ttl_days`.\n68\t- Set default to 60 in `DefaultConfig()`.\n69\t\n70\t**File:** `internal/config/loader.go`\n71\t\n72\t- Add validation: `SessionTTLDays` must be >= 1. Reject with error if < 1.\n73\t\n74\t**File:** `internal/server/server.go`\n75\t\n76\t- Add `sessionTTL()` method mirroring `ephemeralTTL()`: resolves TTL from config with 60-day fallback.\n77\t\n78\t**Verify:** `go test -tags fts5 ./internal/config/...` — config loads with default, rejects invalid values.\n79\t\n80\t### 1.4 Cleanup: Generalize TTL-based eviction\n81\t\n82\t**File:** `internal/store/cleanup.go`\n83\t\n84\t- Rename `cleanupEphemeral` to `cleanupByTTL(kind SourceKind, ttl time.Duration)`. The only change: the `WHERE kind = ?` parameter becomes the `kind` argument instead of hardcoded `KindEphemeral`.\n85\t- Update `Cleanup()` signature to `Cleanup(dryRun bool, ephemeralTTL, sessionTTL time.Duration)`. Call `cleanupByTTL` twice: once for `KindEphemeral` with ephemeral TTL, once for `KindSession` with session TTL. Pass both TTLs through to `cleanupDurable` → `ClassifySources`.\n86\t- Update `PurgeEphemeral` to call `cleanupByTTL(KindEphemeral, ttl)`.\n87\t- Add `PurgeSession(dryRun bool, ttl time.Duration)` that calls `cleanupByTTL(KindSession, ttl)`.\n88\t- Update `ClassifySources(ephemeralTTL, sessionTTL time.Duration)` to handle `KindSession` with fresh/stale bucketing using the session TTL.\n89\t- Update `Stats(ephemeralTTL, sessionTTL time.Duration)` to pass both TTLs to `ClassifySources` and populate session counters.\n90\t- Update all callers of `Cleanup`, `ClassifySources`, and `Stats` to pass both TTLs. Key callers: `tool_cleanup.go`, `tool_stats.go`, `server.go`.\n91\t\n92\t**Verify:** `go test -tags fts5 ./internal/store/...` — existing ephemeral cleanup tests pass. Add tests for session TTL cleanup: index a session-kind source, advance clock past TTL, verify eviction.\n93\t\n94\t### 1.5 Search: Update default IncludeKinds\n95\t\n96\t**File:** `internal/store/search.go`\n97\t\n98\t- Update `effectiveKindFilter()` at line ~569: change default return from `[]SourceKind{KindDurable}` to `[]SourceKind{KindDurable, KindSession}`.\n99\t- Add `KindScopeIncludesSession(opts SearchOptions) bool` mirroring `KindScopeIncludesEphemeral` (or generalize both to `KindScopeIncludes(opts SearchOptions, kind SourceKind) bool`).\n100\t\n101\t**File:** `internal/server/tool_search.go`\n102\t\n103\t- Update `parseIncludeKinds` error message at line ~197: change `\"accepted: \\\"durable\\\", \\\"ephemeral\\\"\"` to include `\"session\"`.\n104\t- Add session-aware no-results hint alongside the existing ephemeral hint at line ~124: when sessions are excluded but session sources exist, surface a recovery hint.\n105\t\n106\t**File:** `internal/server/intent_search.go` (if applicable)\n107\t\n108\t- Verify intent search does not need session kind changes (it writes ephemeral, searches durable).\n109\t\n110\t**Verify:** index a session-kind source manually, search for its content, verify it appears in results. Verify ephemeral sources are still excluded by default. Verify `parseIncludeKinds` accepts `\"session\"` as a valid value.\n111\t\n112\t---\n113\t\n114\t## Phase 2: Session Parsing\n115\t\n116\t### 2.1 JSONL parser\n117\t\n118\t**New file:** `internal/session/parse.go`\n119\t\n120\tCreate a session JSONL parser that reads a file and produces a filtered transcript. The parser:\n121\t\n122\t1. Reads the file line by line.\n123\t2. Parses each line as JSON.\n124\t3. Routes on `type` field:\n125\t - `\"user\"`: extract text content (string or text blocks from array). Skip tool_result-only messages. Skip messages starting with `/`. Strip `<system-reminder>` tags.\n126\t - `\"assistant\"`: merge progressive snapshots (see below), then extract text from `text` blocks. Extract tool names from `tool_use` blocks. Skip `thinking` blocks.\n127\t - `\"system\"` with `subtype == \"away_summary\"`: extract `content` field.\n128\t - All other types: skip.\n129\t4. **Progressive snapshot merging:** Claude Code writes one content block per JSONL line, all sharing the same `message.id` (non-cumulative format). A single assistant response typically produces 2-4 lines: `[thinking]`, `[text]`, `[tool_use]`, etc. The parser collects all blocks across lines sharing the same `message.id` into a single logical message, deduplicating by `(type, text, name, id)` to also handle cumulative snapshot formats. This happens in the first pass before text extraction.\n130\t5. Builds turn pairs: a turn pair is a human text message followed by assistant text response(s). Tool names from assistant tool_use blocks are collected per turn.\n131\t6. Extracts session metadata: first user message timestamp (for the label datetime), session UUID (from `sessionId` field or filename).\n132\t\n133\t**Output type:**\n134\t\n135\t```go\n136\ttype ParsedSession struct {\n137\t SessionID string\n138\t StartTime time.Time\n139\t TurnPairs []TurnPair\n140\t TotalAssistantChars int\n141\t}\n142\t\n143\ttype TurnPair struct {\n144\t HumanText string\n145\t AssistantText string\n146\t ToolNames []string\n147\t IsSubagent bool\n148\t SubagentType string\n149\t SubagentDesc string\n150\t}\n151\t```\n152\t\n153\tHandle malformed JSON lines gracefully: log warning, skip line, continue.\n154\t\n155\t**Verify:** unit tests with synthetic JSONL covering all message types. Test: valid session, empty session, tool-result-only session, session with away_summary, session with system-reminder tags in user text.\n156\t\n157\t### 2.2 Sub-agent parsing\n158\t\n159\t**File:** `internal/session/parse.go` (extend)\n160\t\n161\tAdd function to parse sub-agent conversations:\n162\t\n163\t1. Check if `<uuid>/subagents/` directory exists.\n164\t2. List `agent-*.jsonl` files.\n165\t3. For each, read the corresponding `agent-*.meta.json` for `agentType` and `description`.\n166\t4. Parse the sub-agent JSONL using the same parser logic.\n167\t5. Return sub-agent turn pairs with `IsSubagent: true` and the metadata fields populated.\n168\t\n169\t**Verify:** unit tests with synthetic sub-agent JSONL + meta.json files.\n170\t\n171\t### 2.3 Transcript builder\n172\t\n173\t**File:** `internal/session/transcript.go`\n174\t\n175\tConvert `ParsedSession` to a plaintext transcript string:\n176\t\n177\t```\n178\tHuman: <text>\n179\tAssistant: <text>\n180\t[Tools: Read, Edit]\n181\t\n182\t[Session summary: <away_summary text>]\n183\t\n184\t--- Subagent: Explore — \"description\" ---\n185\tHuman: <text>\n186\tAssistant: <text>\n187\t--- End subagent ---\n188\t```\n189\t\n190\tRules:\n191\t- Tool-result-only user messages are already filtered out by the parser.\n192\t- `[Tools: ...]` line appears only when the turn had tool_use blocks.\n193\t- `[Session summary: ...]` for away_summary entries (inserted inline at the position they appeared).\n194\t- Sub-agent turns are delimited with `---` markers.\n195\t\n196\t**Verify:** unit tests with known ParsedSession → expected transcript string.\n197\t\n198\t### 2.4 Session-level gate\n199\t\n200\t**File:** `internal/session/parse.go` (extend)\n201\t\n202\tAdd validation function:\n203\t\n204\t```go\n205\tfunc (s *ParsedSession) IsIndexable() bool\n206\t```\n207\t\n208\tReturns true if:\n209\t- `len(TurnPairs) >= 2` (counting only non-subagent pairs for the minimum, or all pairs — TBD based on what feels right)\n210\t- `TotalAssistantChars >= 200`\n211\t\n212\t**Verify:** unit tests with edge cases: 1 turn pair (reject), 2 pairs with 150 chars (reject), 2 pairs with 300 chars (accept).\n213\t\n214\t---\n215\t\n216\t## Phase 3: Chunking\n217\t\n218\t### 3.1 Transcript chunking function\n219\t\n220\t**New file:** `internal/session/chunk.go`\n221\t\n222\tThe chunker lives in `internal/session/` (NOT `internal/store/chunk.go`) because it operates directly on the structured `ParsedSession` data. This avoids the anti-pattern of serializing structured metadata (tool names, subagent info) into text and then re-parsing it with regexes.\n223\t\n224\tAdd `ChunkSession(session *ParsedSession, transcript string, maxBytes int) []store.Chunk`:\n225\t\n226\t- Takes both the structured `ParsedSession` (for metadata: tool names, subagent info, timestamps) and the plaintext transcript (for chunk content).\n227\t- Sliding window of ~4 turn pairs with 1 turn pair overlap. Window boundaries are computed from `ParsedSession.TurnPairs` indices.\n228\t- Each chunk's content is the corresponding slice of the transcript text.\n229\t- Each chunk title is built from structured data: `Session <datetime> | Turns <start>-<end> | Tools: <names>`. When sub-agent turns are in the window: append `| Subagent: <type>`.\n230\t- Chunks exceeding `maxBytes` (default `store.MaxChunkBytes` = 4096) are split using `store.SplitOversized` (export the existing helper from `chunk.go`).\n231\t- `HasCode` is set by checking for code fences in the chunk content (reuse `store.ChunkHasCode`).\n232\t\n233\t**File:** `internal/store/chunk.go`\n234\t\n235\t- Export `SplitOversized` and `ChunkHasCode` (rename from `splitOversized` and `chunkHasCode`) so the session package can reuse them. Alternatively, expose a `MaxChunkBytes` constant.\n236\t\n237\t**File:** `internal/store/index.go`\n238\t\n239\t- The `chunkContent` router does NOT need a `\"session\"` case. Session chunking is called directly by the sweep orchestrator, which passes pre-chunked `[]store.Chunk` to a new `IndexChunked` method (or calls `Index` with the transcript and lets the existing plaintext fallback handle it — but the former is cleaner since we already have structured chunks).\n240\t\n241\t**Verify:** unit tests in `internal/session/chunk_test.go` with a multi-turn ParsedSession. Verify: correct window boundaries, overlap, title generation from structured data, oversized splitting.\n242\t\n243\t---\n244\t\n245\t## Phase 4: Sweep Integration\n246\t\n247\t### 4.1 Session directory discovery\n248\t\n249\t**New file:** `internal/session/sweep.go`\n250\t\n251\tAdd function to derive the Claude Code session directory:\n252\t\n253\t```go\n254\tfunc SessionDir(projectDir string) (string, error)\n255\t```\n256\t\n257\t- Compute absolute path of `projectDir`.\n258\t- Mangle: replace `/` and `.` with `-`.\n259\t- Construct: `~/.claude/projects/<mangled>/`.\n260\t- Verify directory exists. Return error if not.\n261\t\n262\t**Verify:** unit test with known project paths → expected directory names. Test the `.` replacement (e.g., paths containing `.config`).\n263\t\n264\t### 4.2 Mtime gate\n265\t\n266\t**File:** `internal/session/sweep.go`\n267\t\n268\tAdd the mtime comparison logic:\n269\t\n270\t1. Query all `session:` sources from the store → build `uuid → indexed_at` map.\n271\t2. For each `.jsonl` file: extract UUID from filename, compute effective mtime as `max(file.mtime, subagents_dir.mtime)`.\n272\t3. Compare against `indexed_at`. Skip if effective mtime <= indexed_at.\n273\t\n274\t**Verify:** unit tests with mocked file stats and store data. Test: new file (no existing source), unchanged file (skip), modified file (process), file with updated sub-agent dir (process).\n275\t\n276\t### 4.3 Sweep orchestrator\n277\t\n278\t**File:** `internal/session/sweep.go`\n279\t\n280\tAdd the main sweep function:\n281\t\n282\t```go\n283\tfunc Sweep(ctx context.Context, store *store.ContentStore, projectDir string) (indexed int, skipped int, errors int)\n284\t```\n285\t\n286\tAccepts `context.Context` as first parameter (standard Go convention for any function doing I/O). Checks `ctx.Err()` between files for cooperative cancellation. Orchestrates: discovery → list files → mtime gate → parse → gate → transcript → chunk → index.\n287\t\n288\tLogs at info level: `\"session sweep complete\"` with indexed/skipped/error counts.\n289\tLogs at warn level: individual parse failures.\n290\tLogs at warn level: when a non-trivial file (>1KB) produces 0 turn pairs, including the session `version` field — surfaces potential JSONL format drift (see ADR-021).\n291\t\n292\t**Verify:** integration test with a temp directory containing synthetic session files. Verify: correct files indexed, mtime gate works, gate filters trivial sessions, errors are logged and skipped.\n293\t\n294\t### 4.4 Server startup integration\n295\t\n296\t**File:** `internal/server/server.go`\n297\t\n298\tIn `Serve()`, after `s.registerTools()` and before `stdio.Listen()`. The goroutine must derive its context from the server's `ctx` parameter (NOT `context.Background()`) so it participates in cooperative cancellation when the server shuts down. This prevents the goroutine from outliving `Serve()` and calling `getStore()` after `shutdown()` has closed the store.\n299\t\n300\t```go\n301\tgo func() {\n302\t sweepCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n303\t defer cancel()\n304\t indexed, skipped, errs := session.Sweep(sweepCtx, s.getStore(), s.projectDir)\n305\t if indexed > 0 || errs > 0 {\n306\t slog.Info(\"session sweep\", \"indexed\", indexed, \"skipped\", skipped, \"errors\", errs)\n307\t }\n308\t}()\n309\t```\n310\t\n311\t**Verify:** start the server with synthetic session files present, verify they get indexed. Start again, verify no re-indexing (mtime gate). Shut down the server mid-sweep (if possible), verify clean cancellation.\n312\t\n313\t---\n314\t\n315\t## Phase 5: CLI and Tool Updates\n316\t\n317\t### 5.1 MCP cleanup tool\n318\t\n319\t**File:** `internal/server/tool_cleanup.go`\n320\t\n321\t- Add `purge_session` boolean parameter to the tool schema.\n322\t- When `purge_session` is true, call `store.PurgeSession(dryRun, sessionTTL)`.\n323\t\n324\t**Verify:** unit test: call cleanup with `purge_session=true`, verify only session sources are affected.\n325\t\n326\t### 5.2 CLI cleanup command\n327\t\n328\t**File:** `cmd/capy/cleanup.go`\n329\t\n330\t- Add `--kind` string flag (valid values: `\"ephemeral\"`, `\"session\"`, `\"\"` for all).\n331\t- When `--kind` is set, run only the corresponding cleanup path.\n332\t\n333\t**Verify:** manual test: `./capy cleanup --kind session` with indexed session sources.\n334\t\n335\t### 5.3 Stats rendering\n336\t\n337\t**File:** `internal/server/tool_stats.go`\n338\t\n339\t- Update stats rendering to include session source count and fresh/stale breakdown.\n340\t\n341\t**Verify:** index some session sources, call `capy_stats`, verify session section appears.\n342\t\n343\t---\n344\t\n345\t## Phase 6: Final Verification\n346\t\n347\t### 6.1 Full test suite\n348\t\n349\tRun `make test` and `make test-race`. All existing tests must pass. No regressions.\n350\t\n351\t### 6.2 Integration test\n352\t\n353\tAdd an end-to-end test in `internal/server/integration_test.go`:\n354\t1. Create synthetic session JSONL files in a temp directory.\n355\t2. Boot a test server pointing at that directory.\n356\t3. Trigger the sweep.\n357\t4. Search for session content via the MCP tool handler.\n358\t5. Verify results surface with correct labels and titles.\n359\t6. Run cleanup, verify TTL eviction.\n360\t\n361\t### 6.3 Documentation\n362\t\n363\t- Update `CONTRIBUTING.md` if the new `internal/session/` package introduces patterns worth documenting.\n364\t- Write ADR for the `KindSession` decision (ADR-019 or next available number).\n365\t\n366\t### 6.4 Code review\n367\t\n368\tRun `kk:review-code` on the final diff. Run `kk:review-spec` to verify implementation matches this design doc.\n369\t"}]},"uuid":"8de4fb6c-90d7-4474-a193-f8214b266892","timestamp":"2026-05-07T06:47:31.009Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/sergio/Projects/personal/capy/docs/wip/sessionflow-rag/implementation.md","content":"# Sessionflow RAG — Implementation Plan\n\n> **Design:** [./design.md](./design.md)\n> **Issue:** [#24](https://github.com/serpro69/capy/issues/24)\n> **Created:** 2026-04-23\n\nThis plan is ordered for incremental development. Each task builds on the previous and can be verified independently. The developer should be familiar with Go and SQLite but may have no prior context on the capy codebase.\n\n## Prerequisites\n\nRead these files before starting:\n- `CONTRIBUTING.md` — build instructions, test patterns, project structure\n- `internal/store/types.go` — source kinds, chunk types, search/index result types\n- `internal/store/schema.go` — FTS5 schema\n- `internal/store/index.go` — `Index()` function, content_hash dedup, `chunkContent` routing\n- `internal/store/cleanup.go` — retention scoring, `cleanupEphemeral`, `Cleanup()`\n- `internal/store/chunk.go` — `chunkPlainText`, `chunkMarkdown`, splitting strategies\n- `internal/server/server.go` — `Server` struct, `Serve()`, `getStore()`, `ephemeralTTL()`\n- `internal/config/config.go` — `Config`, `CleanupConfig`, `DefaultConfig()`\n- `docs/adr/017-source-kind-separation.md` — why source kinds exist, the `IncludeKinds` design\n\nAll tests require `-tags fts5`. Use `make test` or `go test -tags fts5 -count=1 ./...`.\n\n---\n\n## Phase 1: Storage Foundation\n\n### 1.1 Add KindSession to types\n\n**File:** `internal/store/types.go`\n\n- Add `KindSession SourceKind = \"session\"` constant.\n- Update `Valid()` to return true for `KindSession`.\n- Add session-specific fields to `StoreStats`: `SessionSourceCount`, `SessionFreshCount`, `SessionStaleCount`.\n\n**Verify:** existing tests still pass (`go test -tags fts5 ./internal/store/...`). No behavioral change yet.\n\n### 1.2 Schema migration and migration tracker\n\n**Files:** `internal/store/migrate.go`, `internal/store/schema.go`\n\nThis is the second migration, which triggers the TODO at `migrate.go:15-16`. Three things must happen:\n\n**A. Add a migration-tracking table.** Before running the new migration, create:\n```sql\nCREATE TABLE IF NOT EXISTS migrations (\n name TEXT PRIMARY KEY,\n applied_at TEXT DEFAULT CURRENT_TIMESTAMP\n)\n```\nThen retroactively record migration 017 as already applied (`INSERT OR IGNORE INTO migrations (name) VALUES ('017_add_source_kind')`). This replaces the PRAGMA-based idempotency check for future migrations.\n\n**B. Handle two DB populations.** There are two shapes of `sources` table in the wild:\n- **Migrated DBs** (had `ALTER TABLE ADD COLUMN kind`): these lack a CHECK constraint entirely (SQLite's ALTER TABLE ADD COLUMN does not support CHECK — see `migrate.go:67-69`). Inserting `kind='session'` already works. The migration just needs to record itself in the tracker.\n- **Fresh DBs** (created with `schemaSQL`): these have `CHECK (kind IN ('ephemeral', 'durable'))`. These require a table rebuild: create new table with updated CHECK → copy data → drop old → rename.\n\nDetection: attempt `INSERT INTO sources (label, content_type, kind) VALUES ('__migration_probe', 'plaintext', 'session')` inside the transaction. If it succeeds, rollback the probe row — no table rebuild needed. If it fails with a constraint error, do the table rebuild.\n\n**C. Update `schemaSQL`** in `schema.go` to include `'session'` in the CHECK constraint so future fresh DBs accept the new kind.\n\n**Verify:** `go test -tags fts5 ./internal/store/...` — migration applies on both fresh and migrated DBs. Insert `kind='session'` succeeds. Migration tracker table exists with both migrations recorded.\n\n### 1.3 Config: SessionTTLDays\n\n**File:** `internal/config/config.go`\n\n- Add `SessionTTLDays int` to `CleanupConfig` with toml tag `session_ttl_days`.\n- Set default to 60 in `DefaultConfig()`.\n\n**File:** `internal/config/loader.go`\n\n- Add validation: `SessionTTLDays` must be >= 1. Reject with error if < 1.\n\n**File:** `internal/server/server.go`\n\n- Add `sessionTTL()` method mirroring `ephemeralTTL()`: resolves TTL from config with 60-day fallback.\n\n**Verify:** `go test -tags fts5 ./internal/config/...` — config loads with default, rejects invalid values.\n\n### 1.4 Cleanup: Generalize TTL-based eviction\n\n**File:** `internal/store/cleanup.go`\n\n- Rename `cleanupEphemeral` to `cleanupByTTL(kind SourceKind, ttl time.Duration)`. The only change: the `WHERE kind = ?` parameter becomes the `kind` argument instead of hardcoded `KindEphemeral`.\n- Update `Cleanup()` signature to `Cleanup(dryRun bool, ephemeralTTL, sessionTTL time.Duration)`. Call `cleanupByTTL` twice: once for `KindEphemeral` with ephemeral TTL, once for `KindSession` with session TTL. Pass both TTLs through to `cleanupDurable` → `ClassifySources`.\n- Update `PurgeEphemeral` to call `cleanupByTTL(KindEphemeral, ttl)`.\n- Add `PurgeSession(dryRun bool, ttl time.Duration)` that calls `cleanupByTTL(KindSession, ttl)`.\n- Update `ClassifySources(ephemeralTTL, sessionTTL time.Duration)` to handle `KindSession` with fresh/stale bucketing using the session TTL.\n- Update `Stats(ephemeralTTL, sessionTTL time.Duration)` to pass both TTLs to `ClassifySources` and populate session counters.\n- Update all callers of `Cleanup`, `ClassifySources`, and `Stats` to pass both TTLs. Key callers: `tool_cleanup.go`, `tool_stats.go`, `server.go`.\n\n**Verify:** `go test -tags fts5 ./internal/store/...` — existing ephemeral cleanup tests pass. Add tests for session TTL cleanup: index a session-kind source, advance clock past TTL, verify eviction.\n\n### 1.5 Search: Update default IncludeKinds\n\n**File:** `internal/store/search.go`\n\n- Update `effectiveKindFilter()` at line ~569: change default return from `[]SourceKind{KindDurable}` to `[]SourceKind{KindDurable, KindSession}`.\n- Add `KindScopeIncludesSession(opts SearchOptions) bool` mirroring `KindScopeIncludesEphemeral` (or generalize both to `KindScopeIncludes(opts SearchOptions, kind SourceKind) bool`).\n\n**File:** `internal/server/tool_search.go`\n\n- Update `parseIncludeKinds` error message at line ~197: change `\"accepted: \\\"durable\\\", \\\"ephemeral\\\"\"` to include `\"session\"`.\n- Add session-aware no-results hint alongside the existing ephemeral hint at line ~124: when sessions are excluded but session sources exist, surface a recovery hint.\n\n**File:** `internal/server/intent_search.go` (if applicable)\n\n- Verify intent search does not need session kind changes (it writes ephemeral, searches durable).\n\n**Verify:** index a session-kind source manually, search for its content, verify it appears in results. Verify ephemeral sources are still excluded by default. Verify `parseIncludeKinds` accepts `\"session\"` as a valid value.\n\n---\n\n## Phase 2: Session Parsing\n\n### 2.1 JSONL parser\n\n**New file:** `internal/session/parse.go`\n\nCreate a session JSONL parser that reads a file and produces a filtered transcript. The parser:\n\n1. Reads the file line by line.\n2. Parses each line as JSON.\n3. Routes on `type` field:\n - `\"user\"`: extract text content (string or text blocks from array). Skip tool_result-only messages. Skip messages starting with `/`. Strip `<system-reminder>` tags.\n - `\"assistant\"`: merge progressive snapshots (see below), then extract text from `text` blocks. Extract tool names from `tool_use` blocks. Skip `thinking` blocks.\n - `\"system\"` with `subtype == \"away_summary\"`: extract `content` field.\n - All other types: skip.\n4. **Progressive snapshot merging:** Claude Code writes one content block per JSONL line, all sharing the same `message.id` (non-cumulative format). A single assistant response typically produces 2-4 lines: `[thinking]`, `[text]`, `[tool_use]`, etc. The parser collects all blocks across lines sharing the same `message.id` into a single logical message, deduplicating by `(type, text, name, id)` to also handle cumulative snapshot formats. This happens in the first pass before text extraction.\n5. Builds turn pairs: a turn pair is a human text message followed by assistant text response(s). Tool names from assistant tool_use blocks are collected per turn.\n6. Extracts session metadata: first user message timestamp (for the label datetime), session UUID (from `sessionId` field or filename).\n\n**Output type:**\n\n```go\ntype ParsedSession struct {\n SessionID string\n StartTime time.Time\n TurnPairs []TurnPair\n TotalAssistantChars int\n}\n\ntype TurnPair struct {\n HumanText string\n AssistantText string\n ToolNames []string\n IsSubagent bool\n SubagentType string\n SubagentDesc string\n}\n```\n\nHandle malformed JSON lines gracefully: log warning, skip line, continue.\n\n**Verify:** unit tests with synthetic JSONL covering all message types. Test: valid session, empty session, tool-result-only session, session with away_summary, session with system-reminder tags in user text.\n\n### 2.2 Sub-agent parsing\n\n**File:** `internal/session/parse.go` (extend)\n\nAdd function to parse sub-agent conversations:\n\n1. Check if `<uuid>/subagents/` directory exists.\n2. List `agent-*.jsonl` files.\n3. For each, read the corresponding `agent-*.meta.json` for `agentType` and `description`.\n4. Parse the sub-agent JSONL using the same parser logic.\n5. Return sub-agent turn pairs with `IsSubagent: true` and the metadata fields populated.\n\n**Verify:** unit tests with synthetic sub-agent JSONL + meta.json files.\n\n### 2.3 Transcript builder\n\n**File:** `internal/session/transcript.go`\n\nConvert `ParsedSession` to a plaintext transcript string:\n\n```\nHuman: <text>\nAssistant: <text>\n[Tools: Read, Edit]\n\n[Session summary: <away_summary text>]\n\n--- Subagent: Explore — \"description\" ---\nHuman: <text>\nAssistant: <text>\n--- End subagent ---\n```\n\nRules:\n- Tool-result-only user messages are already filtered out by the parser.\n- `[Tools: ...]` line appears only when the turn had tool_use blocks.\n- `[Session summary: ...]` for away_summary entries (inserted inline at the position they appeared).\n- Sub-agent turns are delimited with `---` markers.\n\n**Verify:** unit tests with known ParsedSession → expected transcript string.\n\n### 2.4 Session-level gate\n\n**File:** `internal/session/parse.go` (extend)\n\nAdd validation function:\n\n```go\nfunc (s *ParsedSession) IsIndexable() bool\n```\n\nReturns true if:\n- `len(TurnPairs) >= 2` (counting only non-subagent pairs for the minimum, or all pairs — TBD based on what feels right)\n- `TotalAssistantChars >= 200`\n\n**Verify:** unit tests with edge cases: 1 turn pair (reject), 2 pairs with 150 chars (reject), 2 pairs with 300 chars (accept).\n\n---\n\n## Phase 3: Chunking\n\n### 3.1 Transcript chunking function\n\n**New file:** `internal/session/chunk.go`\n\nThe chunker lives in `internal/session/` (NOT `internal/store/chunk.go`) because it operates directly on the structured `ParsedSession` data. This avoids the anti-pattern of serializing structured metadata (tool names, subagent info) into text and then re-parsing it with regexes.\n\nAdd `ChunkSession(session *ParsedSession, transcript string, maxBytes int) []store.Chunk`:\n\n- Takes both the structured `ParsedSession` (for metadata: tool names, subagent info, timestamps) and the plaintext transcript (for chunk content).\n- Sliding window of ~4 turn pairs with 1 turn pair overlap. Window boundaries are computed from `ParsedSession.TurnPairs` indices.\n- Each chunk's content is the corresponding slice of the transcript text.\n- Each chunk title is built from structured data: `Session <datetime> | Turns <start>-<end> | Tools: <names>`. When sub-agent turns are in the window: append `| Subagent: <type>`.\n- Chunks exceeding `maxBytes` (default `store.MaxChunkBytes` = 4096) are split using `store.SplitOversized` (export the existing helper from `chunk.go`).\n- `HasCode` is set by checking for code fences in the chunk content (reuse `store.ChunkHasCode`).\n\n**File:** `internal/store/chunk.go`\n\n- Export `SplitOversized` and `ChunkHasCode` (rename from `splitOversized` and `chunkHasCode`) so the session package can reuse them. Alternatively, expose a `MaxChunkBytes` constant.\n\n**File:** `internal/store/index.go`\n\n- The `chunkContent` router does NOT need a `\"session\"` case. Session chunking is called directly by the sweep orchestrator, which passes pre-chunked `[]store.Chunk` to a new `IndexChunked` method (or calls `Index` with the transcript and lets the existing plaintext fallback handle it — but the former is cleaner since we already have structured chunks).\n\n**Verify:** unit tests in `internal/session/chunk_test.go` with a multi-turn ParsedSession. Verify: correct window boundaries, overlap, title generation from structured data, oversized splitting.\n\n---\n\n## Phase 4: Sweep Integration\n\n### 4.1 Session directory discovery\n\n**New file:** `internal/session/sweep.go`\n\nAdd function to derive the Claude Code session directory:\n\n```go\nfunc SessionDir(projectDir string) (string, error)\n```\n\n- Compute absolute path of `projectDir`.\n- Mangle: replace `/` and `.` with `-`.\n- Construct: `~/.claude/projects/<mangled>/`.\n- Verify directory exists. Return error if not.\n\n**Verify:** unit test with known project paths → expected directory names. Test the `.` replacement (e.g., paths containing `.config`).\n\n### 4.2 Mtime gate\n\n**File:** `internal/session/sweep.go`\n\nAdd the mtime comparison logic:\n\n1. Query all `session:` sources from the store → build `uuid → indexed_at` map.\n2. For each `.jsonl` file: extract UUID from filename, compute effective mtime as `max(file.mtime, subagents_dir.mtime)`.\n3. Compare against `indexed_at`. Skip if effective mtime <= indexed_at.\n\n**Verify:** unit tests with mocked file stats and store data. Test: new file (no existing source), unchanged file (skip), modified file (process), file with updated sub-agent dir (process).\n\n### 4.3 Sweep orchestrator\n\n**File:** `internal/session/sweep.go`\n\nAdd the main sweep function:\n\n```go\nfunc Sweep(ctx context.Context, store *store.ContentStore, projectDir string) (indexed int, skipped int, errors int)\n```\n\nAccepts `context.Context` as first parameter (standard Go convention for any function doing I/O). Checks `ctx.Err()` between files for cooperative cancellation. Orchestrates: discovery → list files → mtime gate → parse → gate → transcript → chunk → index.\n\nLogs at info level: `\"session sweep complete\"` with indexed/skipped/error counts.\nLogs at warn level: individual parse failures.\nLogs at warn level: when a non-trivial file (>1KB) produces 0 turn pairs, including the session `version` field — surfaces potential JSONL format drift (see ADR-021).\n\n**Verify:** integration test with a temp directory containing synthetic session files. Verify: correct files indexed, mtime gate works, gate filters trivial sessions, errors are logged and skipped.\n\n### 4.4 Server startup integration\n\n**File:** `internal/server/server.go`\n\nIn `Serve()`, after `s.registerTools()` and before `stdio.Listen()`. The goroutine must derive its context from the server's `ctx` parameter (NOT `context.Background()`) so it participates in cooperative cancellation when the server shuts down. This prevents the goroutine from outliving `Serve()` and calling `getStore()` after `shutdown()` has closed the store.\n\n```go\ngo func() {\n sweepCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n defer cancel()\n indexed, skipped, errs := session.Sweep(sweepCtx, s.getStore(), s.projectDir)\n if indexed > 0 || errs > 0 {\n slog.Info(\"session sweep\", \"indexed\", indexed, \"skipped\", skipped, \"errors\", errs)\n }\n}()\n```\n\n**Verify:** start the server with synthetic session files present, verify they get indexed. Start again, verify no re-indexing (mtime gate). Shut down the server mid-sweep (if possible), verify clean cancellation.\n\n---\n\n## Phase 5: CLI and Tool Updates\n\n### 5.1 MCP cleanup tool\n\n**File:** `internal/server/tool_cleanup.go`\n\n- Add `purge_session` boolean parameter to the tool schema.\n- When `purge_session` is true, call `store.PurgeSession(dryRun, sessionTTL)`.\n\n**Verify:** unit test: call cleanup with `purge_session=true`, verify only session sources are affected.\n\n### 5.2 CLI cleanup command\n\n**File:** `cmd/capy/cleanup.go`\n\n- Add `--kind` string flag (valid values: `\"ephemeral\"`, `\"session\"`, `\"\"` for all).\n- When `--kind` is set, run only the corresponding cleanup path.\n\n**Verify:** manual test: `./capy cleanup --kind session` with indexed session sources.\n\n### 5.3 Stats rendering\n\n**File:** `internal/server/tool_stats.go`\n\n- Update stats rendering to include session source count and fresh/stale breakdown.\n\n**Verify:** index some session sources, call `capy_stats`, verify session section appears.\n\n---\n\n## Phase 6: Final Verification\n\n### 6.1 Full test suite\n\nRun `make test` and `make test-race`. All existing tests must pass. No regressions.\n\n### 6.2 Integration test\n\nAdd an end-to-end test in `internal/server/integration_test.go`:\n1. Create synthetic session JSONL files in a temp directory.\n2. Boot a test server pointing at that directory.\n3. Trigger the sweep.\n4. Search for session content via the MCP tool handler.\n5. Verify results surface with correct labels and titles.\n6. Run cleanup, verify TTL eviction.\n\n### 6.3 Documentation\n\n- Update `CONTRIBUTING.md` if the new `internal/session/` package introduces patterns worth documenting.\n- Write ADR for the `KindSession` decision (ADR-019 or next available number).\n\n### 6.4 Code review\n\nRun `kk:review-code` on the final diff. 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{"parentUuid":"3831eb8f-e270-4c6f-aec5-33e17aeeeede","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01V6TXSDfkr477zRxxi9HWks","type":"tool_result","content":"1\t# Tasks: Sessionflow RAG\n2\t\n3\t> Design: [./design.md](./design.md)\n4\t> Implementation: [./implementation.md](./implementation.md)\n5\t> Status: done\n6\t> Created: 2026-04-23\n7\t\n8\t## Task 1: Storage foundation — KindSession, migration, config\n9\t- **Status:** done\n10\t- **Depends on:** —\n11\t- **Docs:** [implementation.md#phase-1-storage-foundation](./implementation.md#phase-1-storage-foundation)\n12\t\n13\t### Subtasks\n14\t- [x] 1.1 Add `KindSession SourceKind = \"session\"` to `internal/store/types.go`, update `Valid()`, add session fields to `StoreStats`\n15\t- [x] 1.2 Add migration-tracking table to `internal/store/migrate.go`, retroactively record migration 017, then add new migration for `session` kind CHECK constraint. Handle both DB populations (migrated DBs without CHECK, fresh DBs with CHECK). Update `schemaSQL` in `schema.go`.\n16\t- [x] 1.3 Add `SessionTTLDays int` to `CleanupConfig` in `internal/config/config.go` (default 60), add validation in `loader.go`, add `sessionTTL()` to server\n17\t- [x] 1.4 Generalize `cleanupEphemeral` → `cleanupByTTL(kind, ttl)` in `internal/store/cleanup.go`. Update signatures: `Cleanup(dryRun, ephemeralTTL, sessionTTL)`, `ClassifySources(ephemeralTTL, sessionTTL)`, `Stats(ephemeralTTL, sessionTTL)`. Add `PurgeSession()`. Update all callers (`tool_cleanup.go`, `tool_stats.go`, `server.go`).\n18\t- [x] 1.5 Update default kind filter in `effectiveKindFilter()` at `internal/store/search.go` from `[KindDurable]` to `[KindDurable, KindSession]`. Add `KindScopeIncludesSession` (or generalize to `KindScopeIncludes`). Update `parseIncludeKinds` error message in `tool_search.go` to include `\"session\"`. Add session no-results hint alongside ephemeral hint.\n19\t- [x] 1.6 Write tests for all above: migration applies, session kind accepted, TTL cleanup works, search includes sessions\n20\t\n21\t## Task 2: Session JSONL parser\n22\t- **Status:** done\n23\t- **Depends on:** —\n24\t- **Docs:** [implementation.md#phase-2-session-parsing](./implementation.md#phase-2-session-parsing)\n25\t\n26\t### Subtasks\n27\t- [x] 2.1 Create `internal/session/parse.go` with JSONL parser: line-by-line reading, type routing, text extraction, tool name extraction, system-reminder stripping\n28\t- [x] 2.2 Define `ParsedSession` and `TurnPair` types with session metadata (SessionID, StartTime, TotalAssistantChars)\n29\t- [x] 2.3 Add sub-agent parsing: discover `<uuid>/subagents/` directory, parse `agent-*.jsonl` and `agent-*.meta.json`, return sub-agent turn pairs with metadata\n30\t- [x] 2.4 Add `IsIndexable()` session-level gate: min 2 turn pairs, min 200 chars assistant text\n31\t- [x] 2.5 Write unit tests in `internal/session/parse_test.go` with synthetic JSONL fixtures covering: valid session, empty session, tool-result-only session, away_summary, system-reminder tags, sub-agent conversations, malformed JSON lines\n32\t\n33\t## Task 3: Transcript builder and chunking\n34\t- **Status:** done\n35\t- **Depends on:** Task 2\n36\t- **Docs:** [implementation.md#phase-2-session-parsing](./implementation.md#phase-2-session-parsing), [implementation.md#phase-3-chunking](./implementation.md#phase-3-chunking)\n37\t\n38\t### Subtasks\n39\t- [x] 3.1 Create `internal/session/transcript.go` to convert `ParsedSession` → plaintext transcript string with `Human:`/`Assistant:` format, `[Tools: ...]` lines, `[Session summary: ...]` entries, and `--- Subagent ---` delimiters\n40\t- [x] 3.2 Create `internal/session/chunk.go` with `ChunkSession(session *ParsedSession, transcript string, maxBytes int) []store.Chunk`: sliding window of ~4 turn pairs, 1-pair overlap, title generation from structured `ParsedSession` data (NOT parsed from transcript text). Export `SplitOversized` and `ChunkHasCode` from `internal/store/chunk.go` for reuse.\n41\t- [x] 3.3 Wire session chunking into the sweep orchestrator (Task 4.3) — chunks are produced by the session package and passed to the store's `Index` (or a new `IndexChunked`). No `\"session\"` case needed in `chunkContent`.\n42\t- [x] 3.4 Write unit tests in `internal/session/chunk_test.go`: transcript builder output, chunk window boundaries from structured TurnPairs, overlap, title format, oversized chunk splitting\n43\t\n44\t## Task 4: Sweep mechanism\n45\t- **Status:** done\n46\t- **Depends on:** Task 1, Task 2, Task 3\n47\t- **Docs:** [implementation.md#phase-4-sweep-integration](./implementation.md#phase-4-sweep-integration)\n48\t\n49\t### Subtasks\n50\t- [x] 4.1 Create `internal/session/sweep.go` with `SessionDir(projectDir string)` — path mangling (replace `/` and `.` with `-`), directory existence check\n51\t- [x] 4.2 Add mtime gate logic: query `session:` sources from store, build `uuid → indexed_at` map, compare `max(file.mtime, subagents_dir.mtime)` against indexed_at\n52\t- [x] 4.3 Add `Sweep(ctx context.Context, store, projectDir)` orchestrator: accepts context for cooperative cancellation, checks `ctx.Err()` between files. Discovery → list → mtime gate → parse → gate → transcript → chunk → index. Log results. Include format-degradation detection: when a session parses to 0 turn pairs but the file is non-trivial (>1KB), log a warning with the session's `version` field to surface potential JSONL format changes (see ADR-021).\n53\t- [x] 4.4 Integrate into `Server.Serve()` as background goroutine. Derive context from server's `ctx` parameter (NOT `context.Background()`), apply 30s timeout on top: `context.WithTimeout(ctx, 30*time.Second)`\n54\t- [x] 4.5 Write unit tests in `internal/session/sweep_test.go`: directory derivation, mtime gate logic. Write integration test with temp directory of synthetic session files.\n55\t\n56\t## Task 5: CLI and tool updates\n57\t- **Status:** done\n58\t- **Depends on:** Task 1, Task 4\n59\t- **Docs:** [implementation.md#phase-5-cli-and-tool-updates](./implementation.md#phase-5-cli-and-tool-updates)\n60\t\n61\t### Subtasks\n62\t- [x] 5.1 Add `purge_session` boolean parameter to `capy_cleanup` MCP tool in `internal/server/tool_cleanup.go`\n63\t- [x] 5.2 Add `--kind` string flag to `cmd/capy/cleanup.go` CLI command\n64\t- [x] 5.3 Update stats rendering in `internal/server/tool_stats.go` to include session source count and fresh/stale breakdown\n65\t- [x] 5.4 Write tests for cleanup with purge_session, stats with session sources\n66\t\n67\t## Task 6: Final verification\n68\t- **Status:** done\n69\t- **Depends on:** Task 1, Task 2, Task 3, Task 4, Task 5\n70\t\n71\t### Subtasks\n72\t- [x] 6.1 Run `test` skill to verify all tasks — full test suite (`make test`, `make test-race`), integration tests, edge cases\n73\t- [x] 6.2 Add end-to-end integration test in `internal/server/integration_test.go`: synthetic sessions → sweep → search → verify results → cleanup → verify eviction\n74\t- [x] 6.3 Add canary integration test that looks for real session files in `~/.claude/projects/`, parses several (prefer files with different `version` fields for maximum format coverage), and asserts basic invariants (non-zero turn pairs, valid session ID, non-zero assistant chars). `t.Skip` if no sessions found (CI-safe). Catches JSONL format drift on developer machines. See ADR-021.\n75\t- [x] 6.4 Run `document` skill to write ADR-019 for KindSession decision, update CONTRIBUTING.md if needed\n76\t- [x] 6.5 Run `review-code` skill to review the implementation\n77\t- [x] 6.6 Run `review-spec` skill to verify implementation matches design and implementation docs\n78\t"}]},"uuid":"da954766-bd99-462e-9e0d-fc600cf850f6","timestamp":"2026-05-07T06:47:31.013Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/sergio/Projects/personal/capy/docs/wip/sessionflow-rag/tasks.md","content":"# Tasks: Sessionflow RAG\n\n> Design: [./design.md](./design.md)\n> Implementation: [./implementation.md](./implementation.md)\n> Status: done\n> Created: 2026-04-23\n\n## Task 1: Storage foundation — KindSession, migration, config\n- **Status:** done\n- **Depends on:** —\n- **Docs:** [implementation.md#phase-1-storage-foundation](./implementation.md#phase-1-storage-foundation)\n\n### Subtasks\n- [x] 1.1 Add `KindSession SourceKind = \"session\"` to `internal/store/types.go`, update `Valid()`, add session fields to `StoreStats`\n- [x] 1.2 Add migration-tracking table to `internal/store/migrate.go`, retroactively record migration 017, then add new migration for `session` kind CHECK constraint. Handle both DB populations (migrated DBs without CHECK, fresh DBs with CHECK). Update `schemaSQL` in `schema.go`.\n- [x] 1.3 Add `SessionTTLDays int` to `CleanupConfig` in `internal/config/config.go` (default 60), add validation in `loader.go`, add `sessionTTL()` to server\n- [x] 1.4 Generalize `cleanupEphemeral` → `cleanupByTTL(kind, ttl)` in `internal/store/cleanup.go`. Update signatures: `Cleanup(dryRun, ephemeralTTL, sessionTTL)`, `ClassifySources(ephemeralTTL, sessionTTL)`, `Stats(ephemeralTTL, sessionTTL)`. Add `PurgeSession()`. Update all callers (`tool_cleanup.go`, `tool_stats.go`, `server.go`).\n- [x] 1.5 Update default kind filter in `effectiveKindFilter()` at `internal/store/search.go` from `[KindDurable]` to `[KindDurable, KindSession]`. Add `KindScopeIncludesSession` (or generalize to `KindScopeIncludes`). Update `parseIncludeKinds` error message in `tool_search.go` to include `\"session\"`. Add session no-results hint alongside ephemeral hint.\n- [x] 1.6 Write tests for all above: migration applies, session kind accepted, TTL cleanup works, search includes sessions\n\n## Task 2: Session JSONL parser\n- **Status:** done\n- **Depends on:** —\n- **Docs:** [implementation.md#phase-2-session-parsing](./implementation.md#phase-2-session-parsing)\n\n### Subtasks\n- [x] 2.1 Create `internal/session/parse.go` with JSONL parser: line-by-line reading, type routing, text extraction, tool name extraction, system-reminder stripping\n- [x] 2.2 Define `ParsedSession` and `TurnPair` types with session metadata (SessionID, StartTime, TotalAssistantChars)\n- [x] 2.3 Add sub-agent parsing: discover `<uuid>/subagents/` directory, parse `agent-*.jsonl` and `agent-*.meta.json`, return sub-agent turn pairs with metadata\n- [x] 2.4 Add `IsIndexable()` session-level gate: min 2 turn pairs, min 200 chars assistant text\n- [x] 2.5 Write unit tests in `internal/session/parse_test.go` with synthetic JSONL fixtures covering: valid session, empty session, tool-result-only session, away_summary, system-reminder tags, sub-agent conversations, malformed JSON lines\n\n## Task 3: Transcript builder and chunking\n- **Status:** done\n- **Depends on:** Task 2\n- **Docs:** [implementation.md#phase-2-session-parsing](./implementation.md#phase-2-session-parsing), [implementation.md#phase-3-chunking](./implementation.md#phase-3-chunking)\n\n### Subtasks\n- [x] 3.1 Create `internal/session/transcript.go` to convert `ParsedSession` → plaintext transcript string with `Human:`/`Assistant:` format, `[Tools: ...]` lines, `[Session summary: ...]` entries, and `--- Subagent ---` delimiters\n- [x] 3.2 Create `internal/session/chunk.go` with `ChunkSession(session *ParsedSession, transcript string, maxBytes int) []store.Chunk`: sliding window of ~4 turn pairs, 1-pair overlap, title generation from structured `ParsedSession` data (NOT parsed from transcript text). Export `SplitOversized` and `ChunkHasCode` from `internal/store/chunk.go` for reuse.\n- [x] 3.3 Wire session chunking into the sweep orchestrator (Task 4.3) — chunks are produced by the session package and passed to the store's `Index` (or a new `IndexChunked`). No `\"session\"` case needed in `chunkContent`.\n- [x] 3.4 Write unit tests in `internal/session/chunk_test.go`: transcript builder output, chunk window boundaries from structured TurnPairs, overlap, title format, oversized chunk splitting\n\n## Task 4: Sweep mechanism\n- **Status:** done\n- **Depends on:** Task 1, Task 2, Task 3\n- **Docs:** [implementation.md#phase-4-sweep-integration](./implementation.md#phase-4-sweep-integration)\n\n### Subtasks\n- [x] 4.1 Create `internal/session/sweep.go` with `SessionDir(projectDir string)` — path mangling (replace `/` and `.` with `-`), directory existence check\n- [x] 4.2 Add mtime gate logic: query `session:` sources from store, build `uuid → indexed_at` map, compare `max(file.mtime, subagents_dir.mtime)` against indexed_at\n- [x] 4.3 Add `Sweep(ctx context.Context, store, projectDir)` orchestrator: accepts context for cooperative cancellation, checks `ctx.Err()` between files. Discovery → list → mtime gate → parse → gate → transcript → chunk → index. Log results. Include format-degradation detection: when a session parses to 0 turn pairs but the file is non-trivial (>1KB), log a warning with the session's `version` field to surface potential JSONL format changes (see ADR-021).\n- [x] 4.4 Integrate into `Server.Serve()` as background goroutine. Derive context from server's `ctx` parameter (NOT `context.Background()`), apply 30s timeout on top: `context.WithTimeout(ctx, 30*time.Second)`\n- [x] 4.5 Write unit tests in `internal/session/sweep_test.go`: directory derivation, mtime gate logic. Write integration test with temp directory of synthetic session files.\n\n## Task 5: CLI and tool updates\n- **Status:** done\n- **Depends on:** Task 1, Task 4\n- **Docs:** [implementation.md#phase-5-cli-and-tool-updates](./implementation.md#phase-5-cli-and-tool-updates)\n\n### Subtasks\n- [x] 5.1 Add `purge_session` boolean parameter to `capy_cleanup` MCP tool in `internal/server/tool_cleanup.go`\n- [x] 5.2 Add `--kind` string flag to `cmd/capy/cleanup.go` CLI command\n- [x] 5.3 Update stats rendering in `internal/server/tool_stats.go` to include session source count and fresh/stale breakdown\n- [x] 5.4 Write tests for cleanup with purge_session, stats with session sources\n\n## Task 6: Final verification\n- **Status:** done\n- **Depends on:** Task 1, Task 2, Task 3, Task 4, Task 5\n\n### Subtasks\n- [x] 6.1 Run `test` skill to verify all tasks — full test suite (`make test`, `make test-race`), integration tests, edge cases\n- [x] 6.2 Add end-to-end integration test in `internal/server/integration_test.go`: synthetic sessions → sweep → search → verify results → cleanup → verify eviction\n- [x] 6.3 Add canary integration test that looks for real session files in `~/.claude/projects/`, parses several (prefer files with different `version` fields for maximum format coverage), and asserts basic invariants (non-zero turn pairs, valid session ID, non-zero assistant chars). `t.Skip` if no sessions found (CI-safe). 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{"parentUuid":"1a814555-8951-4639-bbbf-526b18f42a6d","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016B6XxdWTPWp8oNbzHBTE6J","type":"tool_result","content":"1\t# Sessionflow RAG — Design Document\n2\t\n3\t> **Issue:** [#24](https://github.com/serpro69/capy/issues/24)\n4\t> **Status:** Draft\n5\t> **Created:** 2026-04-23\n6\t\n7\t## Problem\n8\t\n9\tClaude Code stores conversation sessions as JSONL files in `~/.claude/projects/<project-dir-name>/`. These sessions contain valuable decisions, rationale, and context that is lost after conversations end. capy already solves context flooding and provides persistent queryable memory, but only for content explicitly indexed during a session — the conversations themselves are invisible to future searches.\n10\t\n11\t## Solution\n12\t\n13\tSessionflow RAG makes past sessions automatically searchable by indexing their human/assistant text content into capy's FTS5 knowledge base. A background sweep runs at MCP server startup, parsing session JSONL files, filtering out noise, chunking the conversational text into BM25-friendly windows, and indexing them under a new `KindSession` source kind.\n14\t\n15\tThe feature is entirely automatic — no MCP tool is exposed, the assistant never needs to think about it, and the indexed content stays portable across machines by using machine-agnostic labels (session UUID + datetime, not file paths).\n16\t\n17\t## Design Decisions\n18\t\n19\t### Source Kind: `KindSession`\n20\t\n21\tA new source kind alongside `KindDurable` and `KindEphemeral`. Sessions have a distinct lifecycle: they are not transient command output (ephemeral) nor explicitly curated knowledge (durable). They represent conversational history with a natural decay curve measured in weeks/months.\n22\t\n23\t- **Cleanup:** Strict TTL (default 60 days, configurable via `session_ttl_days`), same mechanism as ephemeral. Access count is ignored — sessions decay by age, not usage frequency.\n24\t- **Search:** Included in default search results alongside durable content. Users can exclude via `include_kinds: [\"durable\"]`.\n25\t- **Stats:** Reported separately with fresh/stale TTL bucketing.\n26\t\n27\t### Indexing Trigger: MCP Server Startup\n28\t\n29\tIndexing runs as a background goroutine fired during `Server.Serve()`. This was chosen over alternatives:\n30\t\n31\t- **Session-end hook** — rejected. The hook is a short-lived process; goroutines die when it exits. Also risks DB lock contention with the dying MCP server (see `internal/hook/sessionend.go` WAL warning).\n32\t- **Session-start hook** — rejected for the same lifecycle reason (short-lived process).\n33\t- **MCP server startup** — chosen. The server is a long-lived process with safe DB access. A background goroutine doesn't block Claude Code's UI. The 1-2 second delay before the previous session becomes searchable is invisible.\n34\t\n35\tTrade-off: one-session delay before content is searchable. Acceptable because you never search the current session.\n36\t\n37\t### Session Directory Discovery\n38\t\n39\tClaude Code stores sessions in `~/.claude/projects/<dir-name>/` where `<dir-name>` is the absolute project path with `/` and `.` replaced by `-`. Example: `/home/sergio/Projects/personal/capy` → `-home-sergio-Projects-personal-capy`.\n40\t\n41\tThe mangling function: `strings.NewReplacer(\"/\", \"-\", \".\", \"-\").Replace(absProjectDir)`\n42\t\n43\tThis is based on observed behavior, not official documentation. The implementation should fail gracefully if the derived directory does not exist (log warning, skip session indexing).\n44\t\n45\t### Labels: Machine-Agnostic\n46\t\n47\tLabels use the format `session:<ISO-datetime>:<session-UUID>`. Example:\n48\t```\n49\tsession:2026-04-05T12:06:26Z:102ad512-759a-43ad-8805-353ce341f65c\n50\t```\n51\t\n52\t- **Datetime** comes from the first user message timestamp in the JSONL.\n53\t- **UUID** is the session filename (minus `.jsonl` extension).\n54\t- Datetime-first enables chronological sorting via `source: \"session:\"` filter.\n55\t- UUID ensures uniqueness across machines.\n56\t- No file paths in labels — the knowledge.db remains portable across machines and OS.\n57\t\n58\t### Sweep Algorithm\n59\t\n60\tRuns once per server boot in a background goroutine. The goroutine derives its context from the server's `ctx` parameter (not `context.Background()`) so it participates in cooperative cancellation on server shutdown. A 30s timeout is applied on top of the server context.\n61\t\n62\t1. Derive session directory from `projectDir` via path mangling.\n63\t2. List all `.jsonl` files.\n64\t3. Query existing `session:` sources from the store, build `uuid → indexed_at` map (extract UUID by splitting label on `:`).\n65\t4. For each file: compare `max(file.mtime, subagents_dir.mtime)` against `indexed_at`. Skip if mtime <= indexed_at.\n66\t5. Parse JSONL, apply filtering, build transcript, apply session-level gate.\n67\t6. For sessions with `<uuid>/subagents/` directory: parse sub-agent JSONL files, read `meta.json`, append to parent transcript.\n68\t7. Compute content_hash of filtered transcript.\n69\t8. Call `Index()` with label, content type `\"session\"`, kind `KindSession`.\n70\t9. Existing content_hash dedup handles unchanged-but-touched files.\n71\t\n72\tError handling: individual parse failures are logged and skipped. One corrupt file does not block the sweep.\n73\t\n74\t## Session File Format\n75\t\n76\tClaude Code JSONL files contain one JSON object per line. Each has a `type` field. The complete taxonomy (from analysis of 96 sessions across 2 active projects):\n77\t\n78\t### Message Types\n79\t\n80\t| Type | Keep/Skip | Reason |\n81\t|------|-----------|--------|\n82\t| `user` (string content) | **KEEP** | Direct human input |\n83\t| `user` (text blocks in array) | **KEEP** | Human text; strip `<system-reminder>` tags |\n84\t| `user` (tool_result blocks only) | **SKIP** | Automatic SDK returns, no human content |\n85\t| `assistant` text blocks | **KEEP** | Core conversational content |\n86\t| `assistant` thinking blocks | **SKIP** | Content stripped by Claude Code, only base64 signature remains |\n87\t| `assistant` tool_use blocks | **EXTRACT name** | Tool names go in chunk title for BM25 boost |\n88\t| `system/away_summary` | **KEEP** | Dense session recap, high signal |\n89\t| `system/turn_duration` | **SKIP** | Timing metadata |\n90\t| `system/local_command` | **SKIP** | Slash command stdout |\n91\t| `attachment` (all 13 subtypes) | **SKIP** | Infrastructure metadata |\n92\t| `file-history-snapshot` | **SKIP** | File backup metadata |\n93\t| `permission-mode` | **SKIP** | Startup metadata |\n94\t| `progress` | **SKIP** | Progress indicators |\n95\t| `queue-operation` | **SKIP** | Queue metadata |\n96\t| `custom-title` | **SKIP** | Session label |\n97\t| `agent-name` | **SKIP** | Session label |\n98\t| `last-prompt` | **SKIP** | UI state |\n99\t\n100\t### Content Block Types\n101\t\n102\t**User messages:**\n103\t- `message.content` is either a string (19% of messages) or an array (80%).\n104\t- Array blocks: `tool_result` (skip), `text` (keep — but check for `<system-reminder>` tags).\n105\t- `toolUseResult` top-level field: structured tool output annotation. Always skip.\n106\t\n107\t**Assistant messages:**\n108\t- `message.content` is always an array.\n109\t- Block types: `text` (keep), `tool_use` (extract `name` field only), `thinking` (skip — content is empty string, only `signature` field has data).\n110\t- Tool name path: `message.content[i].name` where `message.content[i].type == \"tool_use\"`.\n111\t- **Progressive snapshots are non-cumulative:** Claude Code writes one content block per JSONL line, each sharing the same `message.id`. A typical assistant response produces 2-4 lines: `[thinking]`, `[text]`, `[tool_use]`, `[tool_use]`. The parser merges all blocks sharing the same `message.id` into a single logical message, deduplicating by (type, text, name) to also handle cumulative snapshot formats gracefully.\n112\t\n113\t### Sub-Agent Conversations\n114\t\n115\tSessions that spawned sub-agents have a bare directory `<uuid>/` alongside the `.jsonl` file, containing:\n116\t- `subagents/agent-<hex-id>.jsonl` — full conversation transcript (same JSONL schema, `isSidechain: true`).\n117\t- `subagents/agent-<hex-id>.meta.json` — `{\"agentType\": \"Explore\", \"description\": \"...\"}`.\n118\t- `tool-results/toolu_<id>.json` — offloaded large tool results (rare). Skip these.\n119\t\n120\tSub-agent conversations are parsed and appended to the parent transcript with delimiters:\n121\t```\n122\t--- Subagent: Explore — \"Explore setup command implementation\" ---\n123\tHuman: ...\n124\tAssistant: ...\n125\t--- End subagent ---\n126\t```\n127\t\n128\t## Filtering\n129\t\n130\t### Per-Message Filtering\n131\t\n132\t1. **Skip** user messages where all content blocks are `tool_result` (no `text` blocks).\n133\t2. **Skip** user messages starting with `/` (slash commands — defensive, not observed in stored JSONL).\n134\t3. **Strip** `<system-reminder>...</system-reminder>` tags from text content.\n135\t4. **Skip** `thinking` blocks entirely (content is stripped/empty).\n136\t5. **Extract** tool `name` from `tool_use` blocks for metadata; do not include block content.\n137\t6. **Keep** `system/away_summary` content as inline session summaries.\n138\t7. **Skip** all other non-user/non-assistant types.\n139\t\n140\t### Session-Level Gate\n141\t\n142\tAfter filtering, a session must pass:\n143\t- **Minimum 2 meaningful turn pairs** (human text + assistant text response).\n144\t- **Minimum 200 characters of total assistant text**.\n145\t\n146\tSessions that fail are skipped entirely. Based on analysis: 46% of sessions (44/96) would be filtered out — config-only sessions, aborted conversations, tool-only interactions.\n147\t\n148\t## Chunking\n149\t\n150\t### Transcript Format\n151\t\n152\tFiltered messages are converted to plaintext transcript:\n153\t\n154\t```\n155\tHuman: <user text>\n156\tAssistant: <assistant text>\n157\t[Tools: Read, Edit, mcp__capy__capy_search]\n158\t\n159\t[Session summary: <away_summary text>]\n160\t\n161\t--- Subagent: Explore — \"Explore setup command implementation\" ---\n162\tHuman: <subagent user text>\n163\tAssistant: <subagent assistant text>\n164\t--- End subagent ---\n165\t```\n166\t\n167\tTool-result-only user messages are omitted from the transcript entirely. The `[Tools: ...]` line appears only when the assistant message contained `tool_use` blocks. Tool names are kept as-is (no normalization of MCP tool names).\n168\t\n169\t### Sliding Window\n170\t\n171\tChunking lives in `internal/session/chunk.go` (NOT in `internal/store/chunk.go`) because it operates directly on the structured `ParsedSession` / `[]TurnPair` data. This avoids serializing structured metadata (tool names, subagent info) into text format and then re-parsing it with regexes — a maintenance trap. The session chunker produces `[]store.Chunk` that the store's `Index()` function consumes directly.\n172\t\n173\tThe chunking strategy uses a sliding window of ~4 turn pairs with 1-pair overlap. The split happens on turn pair boundaries, not arbitrary line counts.\n174\t\n175\t- **Window size:** ~4 turn pairs. Preserves enough conversational context for BM25 to match multi-turn decisions.\n176\t- **Overlap:** 1 turn pair. If a decision spans two chunks, the overlapping turn appears in both.\n177\t- **Oversized chunks:** Split at paragraph boundaries using existing `splitOversized` logic when exceeding `maxChunkBytes` (4096).\n178\t\n179\t### Chunk Titles\n180\t\n181\tFormat: `Session 2026-04-05T12:06:26Z | Turns 3-6 | Tools: Read, Edit`\n182\t\n183\tWhen the window contains sub-agent turns: `Session 2026-04-05T12:06:26Z | Turns 3-6 | Subagent: Explore | Tools: Read, Edit`\n184\t\n185\tThe title exploits the BM25 title-weight boost in `internal/store/search.go` for targeted retrieval.\n186\t\n187\t### Content Type\n188\t\n189\tTwo distinct content-type concepts apply:\n190\t\n191\t- **Source-level** (`sources.content_type` column): `\"session\"` — a new value alongside `\"plaintext\"`, `\"markdown\"`, `\"json\"`. This is what `chunkContent` routes on to select the chunking strategy.\n192\t- **Chunk-level** (`chunks.content_type` column): `\"code\"` or `\"prose\"` — determined by `Index()` based on `HasCode` (presence of code fences). Session chunks will almost always be `\"prose\"` since conversation text rarely contains triple-backtick code fences.\n193\t\n194\tThe source-level `\"session\"` value is used for content routing and display. The chunk-level `\"code\"`/`\"prose\"` classification is unchanged — `Index()` at `index.go:41-47` overrides every chunk's ContentType based on `HasCode` regardless of the source content type.\n195\t\n196\t## Storage\n197\t\n198\t### Schema Migration\n199\t\n200\tThis is the second migration, which triggers the TODO in `migrate.go:15-16`: _\"add a migrations-tracking table when the second migration lands.\"_ The migration must:\n201\t\n202\t1. **Add a migration-tracking table** (`CREATE TABLE IF NOT EXISTS migrations (name TEXT PRIMARY KEY, applied_at TEXT DEFAULT CURRENT_TIMESTAMP)`). Record migration 017 as already applied (it ran via the old mechanism). Use this table for idempotency checks going forward.\n203\t\n204\t2. **Handle two DB populations:**\n205\t - **Migrated DBs** (pre-ADR-017, then had `ALTER TABLE ADD COLUMN kind`): these lack the CHECK constraint entirely because SQLite's ALTER TABLE ADD COLUMN does not support CHECK (see `migrate.go:67-69`). Inserting `kind='session'` already works — no table rebuild needed, just record the migration.\n206\t - **Fresh DBs** (post-ADR-017, created with `schemaSQL`): these have `CHECK (kind IN ('ephemeral', 'durable'))`. These require a table rebuild: create new table with updated CHECK → copy data → drop old → rename.\n207\t\n208\t3. **Update `schemaSQL`** in `schema.go` to include `'session'` in the CHECK constraint for future fresh DBs.\n209\t\n210\tThe idempotency check for the table-rebuild path: query `migrations` table for this migration name. If present, skip. If `migrations` table doesn't exist yet, create it and record migration 017 as already applied before proceeding.\n211\t\n212\t### Types\n213\t\n214\t- `KindSession SourceKind = \"session\"` added to `internal/store/types.go`.\n215\t- `Valid()` updated to accept `KindSession`.\n216\t- `\"session\"` added as a content type value.\n217\t\n218\t### Cleanup\n219\t\n220\tSessions use strict TTL, same mechanism as ephemeral. `cleanupEphemeral` is generalized to `cleanupByTTL(kind SourceKind, ttl time.Duration)` and called twice from `Cleanup()`: once for ephemeral (24h), once for session (60 days).\n221\t\n222\tTTL plumbing cascade: `Cleanup()` currently passes `ephemeralTTL` to `cleanupDurable()` → `ClassifySources(ephemeralTTL)`. With two TTLs, this chain must be updated:\n223\t- `Cleanup(dryRun bool, ephemeralTTL, sessionTTL time.Duration)` — accepts both TTLs.\n224\t- `ClassifySources(ephemeralTTL, sessionTTL time.Duration)` — uses the appropriate TTL for each kind's fresh/stale bucketing.\n225\t- `Stats(ephemeralTTL, sessionTTL time.Duration)` — passes both through to `ClassifySources`.\n226\t- `cleanupDurable` passes both to `ClassifySources` for consistent tier classification.\n227\t\n228\t### Config\n229\t\n230\t`CleanupConfig` gains:\n231\t```go\n232\tSessionTTLDays int `toml:\"session_ttl_days\"` // default: 60, minimum: 1\n233\t```\n234\t\n235\t### Search\n236\t\n237\tThe default kind filter lives in `effectiveKindFilter()` at `internal/store/search.go:564-571` (NOT in `tool_search.go`). Change the default return from `[]SourceKind{KindDurable}` to `[]SourceKind{KindDurable, KindSession}`.\n238\t\n239\tCascade updates required:\n240\t- `parseIncludeKinds` error message at `tool_search.go:197`: update from `\"accepted: \\\"durable\\\", \\\"ephemeral\\\"\"` to include `\"session\"`.\n241\t- `KindScopeIncludesEphemeral` at `search.go:578`: add a `KindScopeIncludesSession` counterpart (or generalize to `KindScopeIncludes(opts, kind)`) for no-results hints.\n242\t- No-results hint at `tool_search.go:124-130`: add session-aware recovery path alongside the existing ephemeral hint (e.g., \"N session source(s) present; to exclude, use `include_kinds: [\\\"durable\\\"]`\").\n243\t\n244\t### Stats\n245\t\n246\t`StoreStats` gains:\n247\t```go\n248\tSessionSourceCount int\n249\tSessionFreshCount int\n250\tSessionStaleCount int\n251\t```\n252\t\n253\t`ClassifySources` handles `KindSession` with fresh/stale bucketing using the session TTL.\n254\t\n255\t### CLI Cleanup\n256\t\n257\t- **MCP tool (`capy_cleanup`):** gains `purge_session` boolean flag (mirrors `purge_ephemeral`).\n258\t- **CLI (`capy cleanup`):** gains `--kind` flag for kind-specific cleanup (`capy cleanup --kind session`).\n259\t\n260\t## Integration Points\n261\t\n262\t| Component | Change |\n263\t|-----------|--------|\n264\t| `internal/store/types.go` | `KindSession`, `Valid()`, content type |\n265\t| `internal/store/schema.go` | CHECK constraint (via migration) |\n266\t| `internal/store/migrate.go` | New migration for `session` kind |\n267\t| `internal/store/cleanup.go` | Generalize `cleanupEphemeral` → `cleanupByTTL`, add session cleanup path |\n268\t| `internal/store/index.go` | Handle `\"session\"` content type routing to session package chunker |\n269\t| `internal/store/types.go` | `StoreStats` session counters |\n270\t| `internal/config/config.go` | `SessionTTLDays` in `CleanupConfig` |\n271\t| `internal/config/loader.go` | Validation for `SessionTTLDays` |\n272\t| `internal/server/server.go` | Background goroutine for session sweep |\n273\t| `internal/server/tool_cleanup.go` | `purge_session` parameter |\n274\t| `internal/server/tool_stats.go` | Session stats rendering |\n275\t| `internal/store/search.go` | Default `IncludeKinds` in `effectiveKindFilter()`, add `KindScopeIncludesSession` |\n276\t| `internal/server/tool_search.go` | Update `parseIncludeKinds` error message, add session no-results hint |\n277\t| `cmd/capy/cleanup.go` | `--kind` CLI flag |\n278\t\n279\tNew files:\n280\t| File | Purpose |\n281\t|------|---------|\n282\t| `internal/session/parse.go` | JSONL parsing, message filtering, transcript building |\n283\t| `internal/session/chunk.go` | Transcript chunking (operates on `ParsedSession` directly, not serialized text) |\n284\t| `internal/session/sweep.go` | Session directory discovery, mtime gate, sweep orchestration |\n285\t| `internal/session/parse_test.go` | Unit tests for parsing and filtering |\n286\t| `internal/session/chunk_test.go` | Unit tests for transcript chunking |\n287\t| `internal/session/sweep_test.go` | Unit tests for sweep mechanism |\n288\t\n289\t## Open Questions\n290\t\n291\tNone — all design decisions have been made. See the PAL consultation thread for the full decision log including alternatives considered.\n292\t\n293\t## References\n294\t\n295\t- [ADR-017: Source kind separation](../../adr/017-source-kind-separation.md) — establishes the `kind` column and `IncludeKinds` array design\n296\t- [ADR-011: Conservative cleanup policy](../../adr/011-conservative-cleanup-policy.md) — retention scoring (not used for sessions)\n297\t- [GitHub issue #24](https://github.com/serpro69/capy/issues/24) — original feature request\n298\t- Claude Code session format: JSONL in `~/.claude/projects/<dir-name>/`, analyzed from 96 sessions across 2 projects"}]},"uuid":"113155ce-b844-4f88-b1f0-1764bc985a52","timestamp":"2026-05-07T06:47:31.018Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/sergio/Projects/personal/capy/docs/wip/sessionflow-rag/design.md","content":"# Sessionflow RAG — Design Document\n\n> **Issue:** [#24](https://github.com/serpro69/capy/issues/24)\n> **Status:** Draft\n> **Created:** 2026-04-23\n\n## Problem\n\nClaude Code stores conversation sessions as JSONL files in `~/.claude/projects/<project-dir-name>/`. These sessions contain valuable decisions, rationale, and context that is lost after conversations end. capy already solves context flooding and provides persistent queryable memory, but only for content explicitly indexed during a session — the conversations themselves are invisible to future searches.\n\n## Solution\n\nSessionflow RAG makes past sessions automatically searchable by indexing their human/assistant text content into capy's FTS5 knowledge base. A background sweep runs at MCP server startup, parsing session JSONL files, filtering out noise, chunking the conversational text into BM25-friendly windows, and indexing them under a new `KindSession` source kind.\n\nThe feature is entirely automatic — no MCP tool is exposed, the assistant never needs to think about it, and the indexed content stays portable across machines by using machine-agnostic labels (session UUID + datetime, not file paths).\n\n## Design Decisions\n\n### Source Kind: `KindSession`\n\nA new source kind alongside `KindDurable` and `KindEphemeral`. Sessions have a distinct lifecycle: they are not transient command output (ephemeral) nor explicitly curated knowledge (durable). They represent conversational history with a natural decay curve measured in weeks/months.\n\n- **Cleanup:** Strict TTL (default 60 days, configurable via `session_ttl_days`), same mechanism as ephemeral. Access count is ignored — sessions decay by age, not usage frequency.\n- **Search:** Included in default search results alongside durable content. Users can exclude via `include_kinds: [\"durable\"]`.\n- **Stats:** Reported separately with fresh/stale TTL bucketing.\n\n### Indexing Trigger: MCP Server Startup\n\nIndexing runs as a background goroutine fired during `Server.Serve()`. This was chosen over alternatives:\n\n- **Session-end hook** — rejected. The hook is a short-lived process; goroutines die when it exits. Also risks DB lock contention with the dying MCP server (see `internal/hook/sessionend.go` WAL warning).\n- **Session-start hook** — rejected for the same lifecycle reason (short-lived process).\n- **MCP server startup** — chosen. The server is a long-lived process with safe DB access. A background goroutine doesn't block Claude Code's UI. The 1-2 second delay before the previous session becomes searchable is invisible.\n\nTrade-off: one-session delay before content is searchable. Acceptable because you never search the current session.\n\n### Session Directory Discovery\n\nClaude Code stores sessions in `~/.claude/projects/<dir-name>/` where `<dir-name>` is the absolute project path with `/` and `.` replaced by `-`. Example: `/home/sergio/Projects/personal/capy` → `-home-sergio-Projects-personal-capy`.\n\nThe mangling function: `strings.NewReplacer(\"/\", \"-\", \".\", \"-\").Replace(absProjectDir)`\n\nThis is based on observed behavior, not official documentation. The implementation should fail gracefully if the derived directory does not exist (log warning, skip session indexing).\n\n### Labels: Machine-Agnostic\n\nLabels use the format `session:<ISO-datetime>:<session-UUID>`. Example:\n```\nsession:2026-04-05T12:06:26Z:102ad512-759a-43ad-8805-353ce341f65c\n```\n\n- **Datetime** comes from the first user message timestamp in the JSONL.\n- **UUID** is the session filename (minus `.jsonl` extension).\n- Datetime-first enables chronological sorting via `source: \"session:\"` filter.\n- UUID ensures uniqueness across machines.\n- No file paths in labels — the knowledge.db remains portable across machines and OS.\n\n### Sweep Algorithm\n\nRuns once per server boot in a background goroutine. The goroutine derives its context from the server's `ctx` parameter (not `context.Background()`) so it participates in cooperative cancellation on server shutdown. A 30s timeout is applied on top of the server context.\n\n1. Derive session directory from `projectDir` via path mangling.\n2. List all `.jsonl` files.\n3. Query existing `session:` sources from the store, build `uuid → indexed_at` map (extract UUID by splitting label on `:`).\n4. For each file: compare `max(file.mtime, subagents_dir.mtime)` against `indexed_at`. Skip if mtime <= indexed_at.\n5. Parse JSONL, apply filtering, build transcript, apply session-level gate.\n6. For sessions with `<uuid>/subagents/` directory: parse sub-agent JSONL files, read `meta.json`, append to parent transcript.\n7. Compute content_hash of filtered transcript.\n8. Call `Index()` with label, content type `\"session\"`, kind `KindSession`.\n9. Existing content_hash dedup handles unchanged-but-touched files.\n\nError handling: individual parse failures are logged and skipped. One corrupt file does not block the sweep.\n\n## Session File Format\n\nClaude Code JSONL files contain one JSON object per line. Each has a `type` field. The complete taxonomy (from analysis of 96 sessions across 2 active projects):\n\n### Message Types\n\n| Type | Keep/Skip | Reason |\n|------|-----------|--------|\n| `user` (string content) | **KEEP** | Direct human input |\n| `user` (text blocks in array) | **KEEP** | Human text; strip `<system-reminder>` tags |\n| `user` (tool_result blocks only) | **SKIP** | Automatic SDK returns, no human content |\n| `assistant` text blocks | **KEEP** | Core conversational content |\n| `assistant` thinking blocks | **SKIP** | Content stripped by Claude Code, only base64 signature remains |\n| `assistant` tool_use blocks | **EXTRACT name** | Tool names go in chunk title for BM25 boost |\n| `system/away_summary` | **KEEP** | Dense session recap, high signal |\n| `system/turn_duration` | **SKIP** | Timing metadata |\n| `system/local_command` | **SKIP** | Slash command stdout |\n| `attachment` (all 13 subtypes) | **SKIP** | Infrastructure metadata |\n| `file-history-snapshot` | **SKIP** | File backup metadata |\n| `permission-mode` | **SKIP** | Startup metadata |\n| `progress` | **SKIP** | Progress indicators |\n| `queue-operation` | **SKIP** | Queue metadata |\n| `custom-title` | **SKIP** | Session label |\n| `agent-name` | **SKIP** | Session label |\n| `last-prompt` | **SKIP** | UI state |\n\n### Content Block Types\n\n**User messages:**\n- `message.content` is either a string (19% of messages) or an array (80%).\n- Array blocks: `tool_result` (skip), `text` (keep — but check for `<system-reminder>` tags).\n- `toolUseResult` top-level field: structured tool output annotation. Always skip.\n\n**Assistant messages:**\n- `message.content` is always an array.\n- Block types: `text` (keep), `tool_use` (extract `name` field only), `thinking` (skip — content is empty string, only `signature` field has data).\n- Tool name path: `message.content[i].name` where `message.content[i].type == \"tool_use\"`.\n- **Progressive snapshots are non-cumulative:** Claude Code writes one content block per JSONL line, each sharing the same `message.id`. A typical assistant response produces 2-4 lines: `[thinking]`, `[text]`, `[tool_use]`, `[tool_use]`. The parser merges all blocks sharing the same `message.id` into a single logical message, deduplicating by (type, text, name) to also handle cumulative snapshot formats gracefully.\n\n### Sub-Agent Conversations\n\nSessions that spawned sub-agents have a bare directory `<uuid>/` alongside the `.jsonl` file, containing:\n- `subagents/agent-<hex-id>.jsonl` — full conversation transcript (same JSONL schema, `isSidechain: true`).\n- `subagents/agent-<hex-id>.meta.json` — `{\"agentType\": \"Explore\", \"description\": \"...\"}`.\n- `tool-results/toolu_<id>.json` — offloaded large tool results (rare). Skip these.\n\nSub-agent conversations are parsed and appended to the parent transcript with delimiters:\n```\n--- Subagent: Explore — \"Explore setup command implementation\" ---\nHuman: ...\nAssistant: ...\n--- End subagent ---\n```\n\n## Filtering\n\n### Per-Message Filtering\n\n1. **Skip** user messages where all content blocks are `tool_result` (no `text` blocks).\n2. **Skip** user messages starting with `/` (slash commands — defensive, not observed in stored JSONL).\n3. **Strip** `<system-reminder>...</system-reminder>` tags from text content.\n4. **Skip** `thinking` blocks entirely (content is stripped/empty).\n5. **Extract** tool `name` from `tool_use` blocks for metadata; do not include block content.\n6. **Keep** `system/away_summary` content as inline session summaries.\n7. **Skip** all other non-user/non-assistant types.\n\n### Session-Level Gate\n\nAfter filtering, a session must pass:\n- **Minimum 2 meaningful turn pairs** (human text + assistant text response).\n- **Minimum 200 characters of total assistant text**.\n\nSessions that fail are skipped entirely. Based on analysis: 46% of sessions (44/96) would be filtered out — config-only sessions, aborted conversations, tool-only interactions.\n\n## Chunking\n\n### Transcript Format\n\nFiltered messages are converted to plaintext transcript:\n\n```\nHuman: <user text>\nAssistant: <assistant text>\n[Tools: Read, Edit, mcp__capy__capy_search]\n\n[Session summary: <away_summary text>]\n\n--- Subagent: Explore — \"Explore setup command implementation\" ---\nHuman: <subagent user text>\nAssistant: <subagent assistant text>\n--- End subagent ---\n```\n\nTool-result-only user messages are omitted from the transcript entirely. The `[Tools: ...]` line appears only when the assistant message contained `tool_use` blocks. Tool names are kept as-is (no normalization of MCP tool names).\n\n### Sliding Window\n\nChunking lives in `internal/session/chunk.go` (NOT in `internal/store/chunk.go`) because it operates directly on the structured `ParsedSession` / `[]TurnPair` data. This avoids serializing structured metadata (tool names, subagent info) into text format and then re-parsing it with regexes — a maintenance trap. The session chunker produces `[]store.Chunk` that the store's `Index()` function consumes directly.\n\nThe chunking strategy uses a sliding window of ~4 turn pairs with 1-pair overlap. The split happens on turn pair boundaries, not arbitrary line counts.\n\n- **Window size:** ~4 turn pairs. Preserves enough conversational context for BM25 to match multi-turn decisions.\n- **Overlap:** 1 turn pair. If a decision spans two chunks, the overlapping turn appears in both.\n- **Oversized chunks:** Split at paragraph boundaries using existing `splitOversized` logic when exceeding `maxChunkBytes` (4096).\n\n### Chunk Titles\n\nFormat: `Session 2026-04-05T12:06:26Z | Turns 3-6 | Tools: Read, Edit`\n\nWhen the window contains sub-agent turns: `Session 2026-04-05T12:06:26Z | Turns 3-6 | Subagent: Explore | Tools: Read, Edit`\n\nThe title exploits the BM25 title-weight boost in `internal/store/search.go` for targeted retrieval.\n\n### Content Type\n\nTwo distinct content-type concepts apply:\n\n- **Source-level** (`sources.content_type` column): `\"session\"` — a new value alongside `\"plaintext\"`, `\"markdown\"`, `\"json\"`. This is what `chunkContent` routes on to select the chunking strategy.\n- **Chunk-level** (`chunks.content_type` column): `\"code\"` or `\"prose\"` — determined by `Index()` based on `HasCode` (presence of code fences). Session chunks will almost always be `\"prose\"` since conversation text rarely contains triple-backtick code fences.\n\nThe source-level `\"session\"` value is used for content routing and display. The chunk-level `\"code\"`/`\"prose\"` classification is unchanged — `Index()` at `index.go:41-47` overrides every chunk's ContentType based on `HasCode` regardless of the source content type.\n\n## Storage\n\n### Schema Migration\n\nThis is the second migration, which triggers the TODO in `migrate.go:15-16`: _\"add a migrations-tracking table when the second migration lands.\"_ The migration must:\n\n1. **Add a migration-tracking table** (`CREATE TABLE IF NOT EXISTS migrations (name TEXT PRIMARY KEY, applied_at TEXT DEFAULT CURRENT_TIMESTAMP)`). Record migration 017 as already applied (it ran via the old mechanism). Use this table for idempotency checks going forward.\n\n2. **Handle two DB populations:**\n - **Migrated DBs** (pre-ADR-017, then had `ALTER TABLE ADD COLUMN kind`): these lack the CHECK constraint entirely because SQLite's ALTER TABLE ADD COLUMN does not support CHECK (see `migrate.go:67-69`). Inserting `kind='session'` already works — no table rebuild needed, just record the migration.\n - **Fresh DBs** (post-ADR-017, created with `schemaSQL`): these have `CHECK (kind IN ('ephemeral', 'durable'))`. These require a table rebuild: create new table with updated CHECK → copy data → drop old → rename.\n\n3. **Update `schemaSQL`** in `schema.go` to include `'session'` in the CHECK constraint for future fresh DBs.\n\nThe idempotency check for the table-rebuild path: query `migrations` table for this migration name. If present, skip. If `migrations` table doesn't exist yet, create it and record migration 017 as already applied before proceeding.\n\n### Types\n\n- `KindSession SourceKind = \"session\"` added to `internal/store/types.go`.\n- `Valid()` updated to accept `KindSession`.\n- `\"session\"` added as a content type value.\n\n### Cleanup\n\nSessions use strict TTL, same mechanism as ephemeral. `cleanupEphemeral` is generalized to `cleanupByTTL(kind SourceKind, ttl time.Duration)` and called twice from `Cleanup()`: once for ephemeral (24h), once for session (60 days).\n\nTTL plumbing cascade: `Cleanup()` currently passes `ephemeralTTL` to `cleanupDurable()` → `ClassifySources(ephemeralTTL)`. With two TTLs, this chain must be updated:\n- `Cleanup(dryRun bool, ephemeralTTL, sessionTTL time.Duration)` — accepts both TTLs.\n- `ClassifySources(ephemeralTTL, sessionTTL time.Duration)` — uses the appropriate TTL for each kind's fresh/stale bucketing.\n- `Stats(ephemeralTTL, sessionTTL time.Duration)` — passes both through to `ClassifySources`.\n- `cleanupDurable` passes both to `ClassifySources` for consistent tier classification.\n\n### Config\n\n`CleanupConfig` gains:\n```go\nSessionTTLDays int `toml:\"session_ttl_days\"` // default: 60, minimum: 1\n```\n\n### Search\n\nThe default kind filter lives in `effectiveKindFilter()` at `internal/store/search.go:564-571` (NOT in `tool_search.go`). Change the default return from `[]SourceKind{KindDurable}` to `[]SourceKind{KindDurable, KindSession}`.\n\nCascade updates required:\n- `parseIncludeKinds` error message at `tool_search.go:197`: update from `\"accepted: \\\"durable\\\", \\\"ephemeral\\\"\"` to include `\"session\"`.\n- `KindScopeIncludesEphemeral` at `search.go:578`: add a `KindScopeIncludesSession` counterpart (or generalize to `KindScopeIncludes(opts, kind)`) for no-results hints.\n- No-results hint at `tool_search.go:124-130`: add session-aware recovery path alongside the existing ephemeral hint (e.g., \"N session source(s) present; to exclude, use `include_kinds: [\\\"durable\\\"]`\").\n\n### Stats\n\n`StoreStats` gains:\n```go\nSessionSourceCount int\nSessionFreshCount int\nSessionStaleCount int\n```\n\n`ClassifySources` handles `KindSession` with fresh/stale bucketing using the session TTL.\n\n### CLI Cleanup\n\n- **MCP tool (`capy_cleanup`):** gains `purge_session` boolean flag (mirrors `purge_ephemeral`).\n- **CLI (`capy cleanup`):** gains `--kind` flag for kind-specific cleanup (`capy cleanup --kind session`).\n\n## Integration Points\n\n| Component | Change |\n|-----------|--------|\n| `internal/store/types.go` | `KindSession`, `Valid()`, content type |\n| `internal/store/schema.go` | CHECK constraint (via migration) |\n| `internal/store/migrate.go` | New migration for `session` kind |\n| `internal/store/cleanup.go` | Generalize `cleanupEphemeral` → `cleanupByTTL`, add session cleanup path |\n| `internal/store/index.go` | Handle `\"session\"` content type routing to session package chunker |\n| `internal/store/types.go` | `StoreStats` session counters |\n| `internal/config/config.go` | `SessionTTLDays` in `CleanupConfig` |\n| `internal/config/loader.go` | Validation for `SessionTTLDays` |\n| `internal/server/server.go` | Background goroutine for session sweep |\n| `internal/server/tool_cleanup.go` | `purge_session` parameter |\n| `internal/server/tool_stats.go` | Session stats rendering |\n| `internal/store/search.go` | Default `IncludeKinds` in `effectiveKindFilter()`, add `KindScopeIncludesSession` |\n| `internal/server/tool_search.go` | Update `parseIncludeKinds` error message, add session no-results hint |\n| `cmd/capy/cleanup.go` | `--kind` CLI flag |\n\nNew files:\n| File | Purpose |\n|------|---------|\n| `internal/session/parse.go` | JSONL parsing, message filtering, transcript building |\n| `internal/session/chunk.go` | Transcript chunking (operates on `ParsedSession` directly, not serialized text) |\n| `internal/session/sweep.go` | Session directory discovery, mtime gate, sweep orchestration |\n| `internal/session/parse_test.go` | Unit tests for parsing and filtering |\n| `internal/session/chunk_test.go` | Unit tests for transcript chunking |\n| `internal/session/sweep_test.go` | Unit tests for sweep mechanism |\n\n## Open Questions\n\nNone — all design decisions have been made. See the PAL consultation thread for the full decision log including alternatives considered.\n\n## References\n\n- [ADR-017: Source kind separation](../../adr/017-source-kind-separation.md) — establishes the `kind` column and `IncludeKinds` array design\n- [ADR-011: Conservative cleanup policy](../../adr/011-conservative-cleanup-policy.md) — retention scoring (not used for sessions)\n- [GitHub issue #24](https://github.com/serpro69/capy/issues/24) — original feature request\n- Claude Code session format: JSONL in `~/.claude/projects/<dir-name>/`, analyzed from 96 sessions across 2 projects","numLines":298,"startLine":1,"totalLines":298}},"sourceToolAssistantUUID":"1a814555-8951-4639-bbbf-526b18f42a6d","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"type":"last-prompt","lastPrompt":"Explore this issue I discovered yesterday when comparing an indexed session vs raw jsonl session file : https://github.com/serpro69/capy/issues/41 Perform a thorough analysis of the issue. Then use kk…","leafUuid":"113155ce-b844-4f88-b1f0-1764bc985a52","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"ai-title","aiTitle":"Analyze session indexing issue and document RAG design v2","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"permission-mode","permissionMode":"default","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"parentUuid":"113155ce-b844-4f88-b1f0-1764bc985a52","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011uCDXQtHpWgyqSLFE8U1ek","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":15998,"cache_read_input_tokens":22897,"output_tokens":697,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":15998,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011Canm3wjCJNqpaErWV4mi4","type":"assistant","uuid":"f7bb5942-f4db-4037-bf65-b073f465ec83","timestamp":"2026-05-07T06:47:40.244Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"f7bb5942-f4db-4037-bf65-b073f465ec83","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011uCDXQtHpWgyqSLFE8U1ek","type":"message","role":"assistant","content":[{"type":"text","text":"Good, I have the issue and all v1 docs. Now let me explore the current implementation to understand exactly where content is being lost."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":15998,"cache_read_input_tokens":22897,"output_tokens":697,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":15998,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011Canm3wjCJNqpaErWV4mi4","type":"assistant","uuid":"4a9e28c4-6010-4043-b1d0-d275cd78a6c7","timestamp":"2026-05-07T06:47:41.208Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"4a9e28c4-6010-4043-b1d0-d275cd78a6c7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011uCDXQtHpWgyqSLFE8U1ek","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BSVVveT43Nv2rSC8uBLkDX","name":"Agent","input":{"subagent_type":"Explore","description":"Explore session parsing implementation","prompt":"I need to understand the current session parsing and indexing implementation in the capy project at /Users/sergio/Projects/personal/capy.\n\nSpecifically, I need to find and read:\n\n1. `internal/session/parse.go` — The JSONL parser. I need to understand:\n - How it filters messages (what's kept, what's skipped)\n - How it handles `tool_use` blocks (currently only extracts tool names, drops content)\n - How it handles MCP tool calls like `mcp__pal__chat`\n - The `TurnPair` and `ParsedSession` types\n - The progressive snapshot merging logic\n\n2. `internal/session/transcript.go` — How the transcript is built from parsed data\n\n3. `internal/session/chunk.go` — The chunking strategy (window size, overlap)\n\n4. `internal/session/sweep.go` — The sweep orchestration\n\n5. Any test files in `internal/session/` that show what test fixtures look like\n\nFor each file, read the FULL content. I need every detail of the filtering logic, especially around tool_use blocks, tool_result blocks, and MCP tool content.\n\nReport back:\n- The exact filtering rules currently in code (what's kept vs skipped and why)\n- The exact chunking parameters (window size, overlap, max bytes)\n- How tool names are extracted but content is dropped\n- The transcript format\n- Any relevant constants or configuration\n- Line numbers for key filtering decisions\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":15998,"cache_read_input_tokens":22897,"output_tokens":697,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":15998,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011Canm3wjCJNqpaErWV4mi4","type":"assistant","uuid":"a925559d-28a9-4348-b24f-f086f49b2b65","timestamp":"2026-05-07T06:47:48.292Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"a925559d-28a9-4348-b24f-f086f49b2b65","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Agent","toolUseID":"toolu_01BSVVveT43Nv2rSC8uBLkDX","hookEvent":"PreToolUse","content":"","stdout":"{\"hookSpecificOutput\":{\"hookEventName\":\"PreToolUse\",\"permissionDecision\":\"allow\",\"permissionDecisionReason\":\"Routed to capy sandbox\",\"updatedInput\":{\"description\":\"Explore session parsing implementation\",\"prompt\":\"I need to understand the current session parsing and indexing implementation in the capy project at /Users/sergio/Projects/personal/capy.\\n\\nSpecifically, I need to find and read:\\n\\n1. `internal/session/parse.go` — The JSONL parser. I need to understand:\\n - How it filters messages (what's kept, what's skipped)\\n - How it handles `tool_use` blocks (currently only extracts tool names, drops content)\\n - How it handles MCP tool calls like `mcp__pal__chat`\\n - The `TurnPair` and `ParsedSession` types\\n - The progressive snapshot merging logic\\n\\n2. `internal/session/transcript.go` — How the transcript is built from parsed data\\n\\n3. `internal/session/chunk.go` — The chunking strategy (window size, overlap)\\n\\n4. `internal/session/sweep.go` — The sweep orchestration\\n\\n5. Any test files in `internal/session/` that show what test fixtures look like\\n\\nFor each file, read the FULL content. I need every detail of the filtering logic, especially around tool_use blocks, tool_result blocks, and MCP tool content.\\n\\nReport back:\\n- The exact filtering rules currently in code (what's kept vs skipped and why)\\n- The exact chunking parameters (window size, overlap, max bytes)\\n- How tool names are extracted but content is dropped\\n- The transcript format\\n- Any relevant constants or configuration\\n- Line numbers for key filtering decisions\\n\\u003ccontext_window_protection\\u003e\\n \\u003cpriority_instructions\\u003e\\n Raw tool output floods your context window. You MUST use capy\\n MCP tools to keep raw data in the sandbox.\\n \\u003c/priority_instructions\\u003e\\n\\n \\u003ctool_selection_hierarchy\\u003e\\n 1. GATHER: capy_batch_execute(commands, queries)\\n - Primary tool for research. Runs all commands, auto-indexes, and searches.\\n - ONE call replaces many individual steps.\\n 2. FOLLOW-UP: capy_search(queries: [\\\"q1\\\", \\\"q2\\\", ...])\\n - Use for all follow-up questions. ONE call, many queries.\\n 3. PROCESSING: capy_execute(language, code) | capy_execute_file(path, language, code)\\n - Use for API calls, log analysis, and data processing.\\n \\u003c/tool_selection_hierarchy\\u003e\\n\\n \\u003cforbidden_actions\\u003e\\n - DO NOT use Bash for commands producing \\u003e20 lines of output.\\n - For large files (10k+ lines), prefer execute_file when you only need derived answers (counts, patterns). Read IS correct for any file you need to understand, follow as instructions, or edit.\\n - DO NOT use capy_index on instruction files (skills, checklists, configs, plugin files). Read them directly — they must be internalized whole, not searched as fragments.\\n - DO NOT use WebFetch (use capy_fetch_and_index instead).\\n - Bash is ONLY for git/mkdir/rm/mv/navigation.\\n \\u003c/forbidden_actions\\u003e\\n\\n \\u003coutput_constraints\\u003e\\n \\u003cword_limit\\u003eKeep your final response under 500 words.\\u003c/word_limit\\u003e\\n \\u003cartifact_policy\\u003e\\n Write artifacts (code, configs, PRDs) to FILES. NEVER return them as inline text.\\n Return only: file path + 1-line description.\\n \\u003c/artifact_policy\\u003e\\n \\u003cresponse_format\\u003e\\n Your response must be a concise summary:\\n - Actions taken (2-3 bullets)\\n - File paths created/modified\\n - Knowledge base source labels (so parent can search)\\n - Key findings\\n \\u003c/response_format\\u003e\\n \\u003c/output_constraints\\u003e\\n\\n \\u003ccapy_commands\\u003e\\n When the user says \\\"capy stats\\\" or asks about context savings:\\n → Call the capy_stats MCP tool and display the full output verbatim.\\n\\n When the user says \\\"capy doctor\\\" or asks to diagnose capy:\\n → Call the capy_doctor MCP tool and display results as a checklist.\\n \\u003c/capy_commands\\u003e\\n\\u003c/context_window_protection\\u003e\",\"subagent_type\":\"Explore\"}}}","stderr":"","exitCode":0,"command":"bash $CLAUDE_PROJECT_DIR/.claude/scripts/capy.sh hook pretooluse","durationMs":19},"type":"attachment","uuid":"3c592483-a960-429c-a4a2-4217f21cd7dc","timestamp":"2026-05-07T06:47:48.344Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"a925559d-28a9-4348-b24f-f086f49b2b65","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BSVVveT43Nv2rSC8uBLkDX","type":"tool_result","content":[{"type":"text","text":"Here is the complete breakdown of the session parsing and indexing implementation:\n\n---\n\n## Filtering Rules (parse.go)\n\n### What is KEPT\n\n**User messages:**\n- Lines with `type: \"user\"` that have a parsed `message` field\n- Content blocks of type `\"text\"` (after noise stripping)\n- Mixed blocks where at least one `\"text\"` block is present (tool_result blocks alongside text are silently dropped; only the text is kept — lines 278–293)\n\n**Assistant messages:**\n- `\"text\"` blocks — text content is extracted verbatim (lines 309–312)\n- `\"tool_use\"` blocks — **only the `name` field is kept** (e.g. `\"Read\"`, `\"Edit\"`, `\"mcp__pal__chat\"`); all `input` content is **dropped** (lines 314–318)\n\n**System messages:**\n- `type: \"system\"`, `subtype: \"away_summary\"` — the `content` field is kept as a standalone TurnPair with empty HumanText (lines 178–183, 236–243)\n\n### What is SKIPPED\n\n| Condition | Why |\n|---|---|\n| `type` not in `\"user\"`, `\"assistant\"`, `\"system\"` | Switch default falls through (e.g. `\"permission-mode\"`, `\"attachment\"`) |\n| `type: \"system\"` but subtype ≠ `\"away_summary\"` | Only away summaries are captured |\n| User message with no `message` field (`hasMsgP == false`) | Line 202 `continue` |\n| User message that is entirely `tool_result` blocks | `extractUserText` returns `\"\"` when `hasText == false` (line 290) |\n| Assistant message with 0 merged blocks | Line 220 `continue` |\n| Assistant message with empty text AND no tool names | Line 224–225 `continue` |\n| `\"thinking\"` blocks | Not matched in the `extractAssistantBlocks` switch — silently dropped |\n| `<system-reminder>...</system-reminder>` tags | Stripped by `sysReminderRe` regex (line 298) |\n| `<local-command-caveat>`, `<local-command-stdout>`, `<command-name>`, `<command-message>`, `<command-args>` tags | Stripped by `noiseTagRe` regex (line 299) |\n| User text that is empty after stripping | `cleanUserText` returns `\"\"`, which causes the message to be skipped |\n| Malformed JSON lines | Logged at `WARN` and skipped (line 122–124) |\n\n### MCP Tool Calls (e.g. `mcp__pal__chat`)\nThere is **no special handling** for MCP tool names. The `extractAssistantBlocks` function extracts `b.Name` for any `\"tool_use\"` block regardless of naming convention. So `mcp__pal__chat`, `mcp__capy__capy_search`, etc. are stored verbatim as tool name strings — their `input` content (the full arguments JSON) is dropped entirely.\n\n---\n\n## Progressive Snapshot Merging (parse.go lines 97–183)\n\nClaude Code writes **one content block per JSONL line** with the same `message.id` (non-cumulative format). The first pass groups all lines sharing the same `message.id` into `mergedBlocks`, using a dedup check (comparing `Type`, `Text`, `Name`, `ID`) to handle older cumulative-format files. The first line seen for a given `message.id` creates the entry; all subsequent lines for the same ID **append** blocks to the existing entry rather than creating new entries (`assistantLastIdx` map, lines 158–176).\n\n---\n\n## Types\n\n**`ParsedSession`** (lines 16–21):\n- `SessionID string`\n- `StartTime time.Time`\n- `TurnPairs []TurnPair`\n- `TotalAssistantChars int`\n\n**`TurnPair`** (lines 24–31):\n- `HumanText string`\n- `AssistantText string`\n- `ToolNames []string`\n- `IsSubagent bool`\n- `SubagentType string`\n- `SubagentDesc string`\n\n**`IsIndexable`** threshold: `>= 2 non-subagent turn pairs` AND `>= 200 total assistant chars` (lines 35–43).\n\n---\n\n## Transcript Format (transcript.go)\n\n```\nHuman: <HumanText>\nAssistant: <AssistantText>\n[Tools: name1, name2, ...] ← omitted if no tools\n\n[Session summary: <away_summary text>] ← for away_summary turns\n\n--- Subagent: <type> — \"<desc>\" ---\nHuman: ...\nAssistant: ...\n[Tools: ...]\n--- End subagent ---\n```\n\n`TranscriptResult` carries `Text string` plus `Offsets []TurnOffset` (byte `[Start, End)` per turn pair) so chunking slices by boundary without re-parsing.\n\n---\n\n## Chunking Parameters (chunk.go + store/chunk.go)\n\n| Parameter | Value | Source |\n|---|---|---|\n| `defaultWindowSize` | `4` turn pairs per chunk | `chunk.go:13` |\n| `defaultOverlap` | `1` turn pair | `chunk.go:14` |\n| Effective step | `3` (`windowSize - overlap`) | `chunk.go:49` |\n| `MaxChunkBytes` | `4096` bytes | `store/chunk.go:12` |\n\nIf the entire transcript fits within `MaxChunkBytes`, it is emitted as one chunk. Otherwise a sliding window of 4 turns (step 3) is used. Oversized windows are split at paragraph boundaries by `store.SplitOversized`.\n\n**Chunk title format:** `Session 2006-01-02T15:04:05Z | Turns N-M | Subagent: <type> | Tools: name1, name2, ...`\n\n---\n\n## Sweep Orchestration (sweep.go)\n\n- `SessionDir` mangles the project path (replacing `/` and `.` with `-`) to find `~/.claude/projects/<mangled>/`\n- Skip condition: file mtime (and `<uuid>/subagents/` dir mtime) has not advanced past the stored `indexed_at` timestamp\n- Label format: `session:<ISO-datetime>:<UUID>`\n- Sanitization (`sanitize.StripSecrets`) runs **before** `BuildTranscript` so byte offsets remain valid (line 317–318)\n- Sub-agent JSONL files are looked up under `<uuid>/subagents/agent-*.jsonl` with metadata from `agent-*.meta.json`\n- Partial sub-agent failure is logged but does not abort the parent session indexing"}]}]},"uuid":"71b35a09-21f3-4a28-b4b8-1c8ae63b1d59","timestamp":"2026-05-07T06:48:51.897Z","toolUseResult":{"status":"completed","prompt":"I need to understand the current session parsing and indexing implementation in the capy project at /Users/sergio/Projects/personal/capy.\n\nSpecifically, I need to find and read:\n\n1. `internal/session/parse.go` — The JSONL parser. I need to understand:\n - How it filters messages (what's kept, what's skipped)\n - How it handles `tool_use` blocks (currently only extracts tool names, drops content)\n - How it handles MCP tool calls like `mcp__pal__chat`\n - The `TurnPair` and `ParsedSession` types\n - The progressive snapshot merging logic\n\n2. `internal/session/transcript.go` — How the transcript is built from parsed data\n\n3. `internal/session/chunk.go` — The chunking strategy (window size, overlap)\n\n4. `internal/session/sweep.go` — The sweep orchestration\n\n5. Any test files in `internal/session/` that show what test fixtures look like\n\nFor each file, read the FULL content. I need every detail of the filtering logic, especially around tool_use blocks, tool_result blocks, and MCP tool content.\n\nReport back:\n- The exact filtering rules currently in code (what's kept vs skipped and why)\n- The exact chunking parameters (window size, overlap, max bytes)\n- How tool names are extracted but content is dropped\n- The transcript format\n- Any relevant constants or configuration\n- Line numbers for key filtering decisions\n<context_window_protection>\n <priority_instructions>\n Raw tool output floods your context window. You MUST use capy\n MCP tools to keep raw data in the sandbox.\n </priority_instructions>\n\n <tool_selection_hierarchy>\n 1. GATHER: capy_batch_execute(commands, queries)\n - Primary tool for research. Runs all commands, auto-indexes, and searches.\n - ONE call replaces many individual steps.\n 2. FOLLOW-UP: capy_search(queries: [\"q1\", \"q2\", ...])\n - Use for all follow-up questions. ONE call, many queries.\n 3. PROCESSING: capy_execute(language, code) | capy_execute_file(path, language, code)\n - Use for API calls, log analysis, and data processing.\n </tool_selection_hierarchy>\n\n <forbidden_actions>\n - DO NOT use Bash for commands producing >20 lines of output.\n - For large files (10k+ lines), prefer execute_file when you only need derived answers (counts, patterns). Read IS correct for any file you need to understand, follow as instructions, or edit.\n - DO NOT use capy_index on instruction files (skills, checklists, configs, plugin files). Read them directly — they must be internalized whole, not searched as fragments.\n - DO NOT use WebFetch (use capy_fetch_and_index instead).\n - Bash is ONLY for git/mkdir/rm/mv/navigation.\n </forbidden_actions>\n\n <output_constraints>\n <word_limit>Keep your final response under 500 words.</word_limit>\n <artifact_policy>\n Write artifacts (code, configs, PRDs) to FILES. NEVER return them as inline text.\n Return only: file path + 1-line description.\n </artifact_policy>\n <response_format>\n Your response must be a concise summary:\n - Actions taken (2-3 bullets)\n - File paths created/modified\n - Knowledge base source labels (so parent can search)\n - Key findings\n </response_format>\n </output_constraints>\n\n <capy_commands>\n When the user says \"capy stats\" or asks about context savings:\n → Call the capy_stats MCP tool and display the full output verbatim.\n\n When the user says \"capy doctor\" or asks to diagnose capy:\n → Call the capy_doctor MCP tool and display results as a checklist.\n </capy_commands>\n</context_window_protection>","agentId":"a170fb21fbbd73e4e","agentType":"Explore","content":[{"type":"text","text":"Here is the complete breakdown of the session parsing and indexing implementation:\n\n---\n\n## Filtering Rules (parse.go)\n\n### What is KEPT\n\n**User messages:**\n- Lines with `type: \"user\"` that have a parsed `message` field\n- Content blocks of type `\"text\"` (after noise stripping)\n- Mixed blocks where at least one `\"text\"` block is present (tool_result blocks alongside text are silently dropped; only the text is kept — lines 278–293)\n\n**Assistant messages:**\n- `\"text\"` blocks — text content is extracted verbatim (lines 309–312)\n- `\"tool_use\"` blocks — **only the `name` field is kept** (e.g. `\"Read\"`, `\"Edit\"`, `\"mcp__pal__chat\"`); all `input` content is **dropped** (lines 314–318)\n\n**System messages:**\n- `type: \"system\"`, `subtype: \"away_summary\"` — the `content` field is kept as a standalone TurnPair with empty HumanText (lines 178–183, 236–243)\n\n### What is SKIPPED\n\n| Condition | Why |\n|---|---|\n| `type` not in `\"user\"`, `\"assistant\"`, `\"system\"` | Switch default falls through (e.g. `\"permission-mode\"`, `\"attachment\"`) |\n| `type: \"system\"` but subtype ≠ `\"away_summary\"` | Only away summaries are captured |\n| User message with no `message` field (`hasMsgP == false`) | Line 202 `continue` |\n| User message that is entirely `tool_result` blocks | `extractUserText` returns `\"\"` when `hasText == false` (line 290) |\n| Assistant message with 0 merged blocks | Line 220 `continue` |\n| Assistant message with empty text AND no tool names | Line 224–225 `continue` |\n| `\"thinking\"` blocks | Not matched in the `extractAssistantBlocks` switch — silently dropped |\n| `<system-reminder>...</system-reminder>` tags | Stripped by `sysReminderRe` regex (line 298) |\n| `<local-command-caveat>`, `<local-command-stdout>`, `<command-name>`, `<command-message>`, `<command-args>` tags | Stripped by `noiseTagRe` regex (line 299) |\n| User text that is empty after stripping | `cleanUserText` returns `\"\"`, which causes the message to be skipped |\n| Malformed JSON lines | Logged at `WARN` and skipped (line 122–124) |\n\n### MCP Tool Calls (e.g. `mcp__pal__chat`)\nThere is **no special handling** for MCP tool names. The `extractAssistantBlocks` function extracts `b.Name` for any `\"tool_use\"` block regardless of naming convention. So `mcp__pal__chat`, `mcp__capy__capy_search`, etc. are stored verbatim as tool name strings — their `input` content (the full arguments JSON) is dropped entirely.\n\n---\n\n## Progressive Snapshot Merging (parse.go lines 97–183)\n\nClaude Code writes **one content block per JSONL line** with the same `message.id` (non-cumulative format). The first pass groups all lines sharing the same `message.id` into `mergedBlocks`, using a dedup check (comparing `Type`, `Text`, `Name`, `ID`) to handle older cumulative-format files. The first line seen for a given `message.id` creates the entry; all subsequent lines for the same ID **append** blocks to the existing entry rather than creating new entries (`assistantLastIdx` map, lines 158–176).\n\n---\n\n## Types\n\n**`ParsedSession`** (lines 16–21):\n- `SessionID string`\n- `StartTime time.Time`\n- `TurnPairs []TurnPair`\n- `TotalAssistantChars int`\n\n**`TurnPair`** (lines 24–31):\n- `HumanText string`\n- `AssistantText string`\n- `ToolNames []string`\n- `IsSubagent bool`\n- `SubagentType string`\n- `SubagentDesc string`\n\n**`IsIndexable`** threshold: `>= 2 non-subagent turn pairs` AND `>= 200 total assistant chars` (lines 35–43).\n\n---\n\n## Transcript Format (transcript.go)\n\n```\nHuman: <HumanText>\nAssistant: <AssistantText>\n[Tools: name1, name2, ...] ← omitted if no tools\n\n[Session summary: <away_summary text>] ← for away_summary turns\n\n--- Subagent: <type> — \"<desc>\" ---\nHuman: ...\nAssistant: ...\n[Tools: ...]\n--- End subagent ---\n```\n\n`TranscriptResult` carries `Text string` plus `Offsets []TurnOffset` (byte `[Start, End)` per turn pair) so chunking slices by boundary without re-parsing.\n\n---\n\n## Chunking Parameters (chunk.go + store/chunk.go)\n\n| Parameter | Value | Source |\n|---|---|---|\n| `defaultWindowSize` | `4` turn pairs per chunk | `chunk.go:13` |\n| `defaultOverlap` | `1` turn pair | `chunk.go:14` |\n| Effective step | `3` (`windowSize - overlap`) | `chunk.go:49` |\n| `MaxChunkBytes` | `4096` bytes | `store/chunk.go:12` |\n\nIf the entire transcript fits within `MaxChunkBytes`, it is emitted as one chunk. Otherwise a sliding window of 4 turns (step 3) is used. Oversized windows are split at paragraph boundaries by `store.SplitOversized`.\n\n**Chunk title format:** `Session 2006-01-02T15:04:05Z | Turns N-M | Subagent: <type> | Tools: name1, name2, ...`\n\n---\n\n## Sweep Orchestration (sweep.go)\n\n- `SessionDir` mangles the project path (replacing `/` and `.` with `-`) to find `~/.claude/projects/<mangled>/`\n- Skip condition: file mtime (and `<uuid>/subagents/` dir mtime) has not advanced past the stored `indexed_at` timestamp\n- Label format: `session:<ISO-datetime>:<UUID>`\n- Sanitization (`sanitize.StripSecrets`) runs **before** `BuildTranscript` so byte offsets remain valid (line 317–318)\n- Sub-agent JSONL files are looked up under `<uuid>/subagents/agent-*.jsonl` with metadata from `agent-*.meta.json`\n- Partial sub-agent failure is logged but does not abort the parent session indexing"}],"totalDurationMs":63528,"totalTokens":45171,"totalToolUseCount":11,"usage":{"input_tokens":1,"cache_creation_input_tokens":871,"cache_read_input_tokens":42638,"output_tokens":1661,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":871},"inference_geo":"","iterations":[],"speed":"standard"},"toolStats":{"readCount":5,"searchCount":0,"bashCount":3,"editFileCount":0,"linesAdded":0,"linesRemoved":0,"otherToolCount":3}},"sourceToolAssistantUUID":"a925559d-28a9-4348-b24f-f086f49b2b65","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"71b35a09-21f3-4a28-b4b8-1c8ae63b1d59","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012sWKfv5R7CWg4gV2St7VEo","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me look at the raw session JSONL to understand the scale of content loss. Let me also check what the current code produces vs what's in the raw data."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2376,"cache_read_input_tokens":38895,"output_tokens":148,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2376,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011Canm9uShPRS7AR82sA7rP","type":"assistant","uuid":"738a7575-4896-4e1b-b438-35d4ca7732d8","timestamp":"2026-05-07T06:48:55.102Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"2b9fd300-f6c3-4908-8fcb-9211d8d77dba","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RhbAh9sywmQVtmLKNaDAMi","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":1018,"cache_read_input_tokens":41271,"output_tokens":205,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1018,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmACW7e4BfhrQj1hYp4","type":"assistant","uuid":"1caaaadc-6e2d-42a5-bf3b-b8bfd78689cf","timestamp":"2026-05-07T06:48:59.889Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"1caaaadc-6e2d-42a5-bf3b-b8bfd78689cf","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RhbAh9sywmQVtmLKNaDAMi","type":"message","role":"assistant","content":[{"type":"text","text":"Let me fetch the gist to analyze the raw JSONL and quantify content loss."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":1018,"cache_read_input_tokens":41271,"output_tokens":205,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1018,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmACW7e4BfhrQj1hYp4","type":"assistant","uuid":"c05db8e2-bc6b-458d-a437-97b0a7eb038f","timestamp":"2026-05-07T06:49:00.364Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"c05db8e2-bc6b-458d-a437-97b0a7eb038f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RhbAh9sywmQVtmLKNaDAMi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SFnvyao9BDYnHWjmyKfJwF","name":"mcp__capy__capy_fetch_and_index","input":{"url":"https://gist.github.com/serpro69/5f5bef3734ddd548b0881c0f03802980","source":"issue-41-gist"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":1018,"cache_read_input_tokens":41271,"output_tokens":205,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1018,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmACW7e4BfhrQj1hYp4","type":"assistant","uuid":"e112b166-8957-4355-a6a5-231e84a9b53e","timestamp":"2026-05-07T06:49:01.882Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"type":"last-prompt","lastPrompt":"Explore this issue I discovered yesterday when comparing an indexed session vs raw jsonl session file : https://github.com/serpro69/capy/issues/41 Perform a thorough analysis of the issue. Then use kk…","leafUuid":"e112b166-8957-4355-a6a5-231e84a9b53e","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"ai-title","aiTitle":"Analyze session indexing issue and document RAG design v2","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"permission-mode","permissionMode":"default","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"parentUuid":"e112b166-8957-4355-a6a5-231e84a9b53e","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SFnvyao9BDYnHWjmyKfJwF","type":"tool_result","content":[{"type":"text","text":"Fetched and indexed **9 sections** (10516.6KB) from: issue-41-gist\nFull content indexed in sandbox — use search(queries: [...], source: \"issue-41-gist\") for specific lookups.\n\n---\n\n[Skip to content](#start-of-content)\n\n[](/)\n\nSearch Gists\n\nSearch Gists\n\n[](/)\n\n[Sign in](https://gist.github.com/auth/github?return_to=https%3A%2F%2Fgist.github.com%2Fserpro69%2F5f5bef3734ddd548b0881c0f03802980) [Sign up](/join?return_to=https%3A%2F%2Fgist.github.com%2Fserpro69%2F5f5bef3734ddd548b0881c0f03802980&source=header-gist)\n\nYou signed in with another tab or window. [Reload]() to refresh your session. You signed out in another tab or window. [Reload]() to refresh your session. You switched accounts on another tab or window. [Reload]() to refresh your session. Dismiss alert\n\n{{ message }}\n\nInstantly share code, notes, and snippets.\n\n[![@serpro69](https://avatars.githubusercontent.com/u/22973227?s=64&v=4)](/serpro69)\n\n# [serpro69](/serpro69)/[**session-b5ee5362.jsonl**](/serpro69/5f5bef3734ddd548b0881c0f03802980)\n\nCreated May 6, 2026 20:21\n\nShow Gist options\n\n- [Download ZIP](/serpro69/5f5bef3734ddd548b0881c0f03802980/archive/8098a8100c3e1706509fa66bb4836b5e7b5d4dff.zip)\n\n<!--THE END-->\n\n- [Star 0 (0)](/login?return_to=https%3A%2F%2Fgist.github.com%2Fserpro69%2F5f5bef3734ddd548b0881c0f03802980) You must be signed in to star a gist\n- [Fork 0 (0)](/login?return_to=https%3A%2F%2Fgist.github.com%2Fserpro69%2F5f5bef3734ddd548b0881c0f03802980) You must be signed in to fork a gist\n\n<!--THE END-->\n\n- Embed\n \n # Select an option\n \n - Embed Embed this gist in your website.\n - Share Copy sharable link for this gist.\n - Clone via HTTPS Clone using the web URL.\n \n ## No results found\n \n [Learn more about clone URLs](https://docs.github.com/articles/which-remote-url-should-i-use)\n \n Clone this repository at &lt;script src=&quot;https://gist.github.com/serpro69/5f5bef3734ddd548b0881c0f03802980.js&quot;&gt;&lt;/script&gt;\n- Save serpro69/5f5bef3734ddd548b0881c0f03802980 to your computer and use it in GitHub Desktop.\n\nEmbed\n\n# Select an option\n\n- Embed Embed this gist in your website.\n- Share Copy sharable link for this gist.\n- Clone via HTTPS Clone using the web URL.\n\n## No results found\n\n[Learn more about clone URLs](https://docs.github.com/articles/which-remote-url-should-i-use)\n\nClone this repository at &lt;script src=&quot;https://gist.github.com/serpro69/5f5bef3734ddd548b0881c0f03802980.js&quot;&gt;&lt;/script&gt;\n\nSave serpro69/5f5bef3734ddd548b0881c0f03802980 to your computer and use it in GitHub Desktop.\n\n[Download ZIP](/serpro69/5f5bef3734ddd548b0881c0f03802980/archive/8098a8100c3e1706509fa66bb4836b5e7b5d4dff.zip)\n\nRaw JSONL for capy issue #41 — session indexing gap analysis\n\n[Raw](/serpro69/5f5bef3734ddd548b0881c0f03802980/raw/8098a8100c3e1706509fa66bb4836b5e7b5d4dff/session-b5ee5362.jsonl)\n\n[**session-b5ee5362.jsonl**](#file-session-b5ee5362-jsonl)\n\nThis file has been truncated, but you can [view the full file](https://gist.github.com/serpro69/5f5bef3734ddd548b0881c0f03802980/raw/8098a8100c3e1706509fa66bb4836b5e7b5d4dff/session-b5ee5362.jsonl).\n\nThis file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in\n\n…[truncated — use search() for full content]"}]}]},"uuid":"e062a39d-5027-446a-b1d9-e694789dd5f2","timestamp":"2026-05-07T06:49:05.558Z","toolUseResult":[{"type":"text","text":"Fetched and indexed **9 sections** (10516.6KB) from: issue-41-gist\nFull content indexed in sandbox — use search(queries: [...], source: \"issue-41-gist\") for specific lookups.\n\n---\n\n[Skip to content](#start-of-content)\n\n[](/)\n\nSearch Gists\n\nSearch Gists\n\n[](/)\n\n[Sign in](https://gist.github.com/auth/github?return_to=https%3A%2F%2Fgist.github.com%2Fserpro69%2F5f5bef3734ddd548b0881c0f03802980) [Sign up](/join?return_to=https%3A%2F%2Fgist.github.com%2Fserpro69%2F5f5bef3734ddd548b0881c0f03802980&source=header-gist)\n\nYou signed in with another tab or window. [Reload]() to refresh your session. You signed out in another tab or window. [Reload]() to refresh your session. You switched accounts on another tab or window. [Reload]() to refresh your session. Dismiss alert\n\n{{ message }}\n\nInstantly share code, notes, and snippets.\n\n[![@serpro69](https://avatars.githubusercontent.com/u/22973227?s=64&v=4)](/serpro69)\n\n# [serpro69](/serpro69)/[**session-b5ee5362.jsonl**](/serpro69/5f5bef3734ddd548b0881c0f03802980)\n\nCreated May 6, 2026 20:21\n\nShow Gist options\n\n- [Download ZIP](/serpro69/5f5bef3734ddd548b0881c0f03802980/archive/8098a8100c3e1706509fa66bb4836b5e7b5d4dff.zip)\n\n<!--THE END-->\n\n- [Star 0 (0)](/login?return_to=https%3A%2F%2Fgist.github.com%2Fserpro69%2F5f5bef3734ddd548b0881c0f03802980) You must be signed in to star a gist\n- [Fork 0 (0)](/login?return_to=https%3A%2F%2Fgist.github.com%2Fserpro69%2F5f5bef3734ddd548b0881c0f03802980) You must be signed in to fork a gist\n\n<!--THE END-->\n\n- Embed\n \n # Select an option\n \n - Embed Embed this gist in your website.\n - Share Copy sharable link for this gist.\n - Clone via HTTPS Clone using the web URL.\n \n ## No results found\n \n [Learn more about clone URLs](https://docs.github.com/articles/which-remote-url-should-i-use)\n \n Clone this repository at &lt;script src=&quot;https://gist.github.com/serpro69/5f5bef3734ddd548b0881c0f03802980.js&quot;&gt;&lt;/script&gt;\n- Save serpro69/5f5bef3734ddd548b0881c0f03802980 to your computer and use it in GitHub Desktop.\n\nEmbed\n\n# Select an option\n\n- Embed Embed this gist in your website.\n- Share Copy sharable link for this gist.\n- Clone via HTTPS Clone using the web URL.\n\n## No results found\n\n[Learn more about clone URLs](https://docs.github.com/articles/which-remote-url-should-i-use)\n\nClone this repository at &lt;script src=&quot;https://gist.github.com/serpro69/5f5bef3734ddd548b0881c0f03802980.js&quot;&gt;&lt;/script&gt;\n\nSave serpro69/5f5bef3734ddd548b0881c0f03802980 to your computer and use it in GitHub Desktop.\n\n[Download ZIP](/serpro69/5f5bef3734ddd548b0881c0f03802980/archive/8098a8100c3e1706509fa66bb4836b5e7b5d4dff.zip)\n\nRaw JSONL for capy issue #41 — session indexing gap analysis\n\n[Raw](/serpro69/5f5bef3734ddd548b0881c0f03802980/raw/8098a8100c3e1706509fa66bb4836b5e7b5d4dff/session-b5ee5362.jsonl)\n\n[**session-b5ee5362.jsonl**](#file-session-b5ee5362-jsonl)\n\nThis file has been truncated, but you can [view the full file](https://gist.github.com/serpro69/5f5bef3734ddd548b0881c0f03802980/raw/8098a8100c3e1706509fa66bb4836b5e7b5d4dff/session-b5ee5362.jsonl).\n\nThis file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in\n\n…[truncated — use search() for full content]"}],"sourceToolAssistantUUID":"e112b166-8957-4355-a6a5-231e84a9b53e","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"fa5bbffd-38c6-4d3b-997c-1e79d50be032","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01JFoRk6E8dUaNXwkPMjZAh9","type":"message","role":"assistant","content":[{"type":"text","text":"The gist HTML was truncated. Let me search the indexed content for the key patterns the issue describes, and also look at the actual raw JSONL URL directly."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":1635,"cache_read_input_tokens":42289,"output_tokens":397,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1635,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmAuvzmwzaX1f1qLZKR","type":"assistant","uuid":"71990314-139b-4c30-a2bd-5ac613a6b0b3","timestamp":"2026-05-07T06:49:11.505Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"ea1e163b-ca10-4609-b6b0-3be1c1e2a720","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01JFoRk6E8dUaNXwkPMjZAh9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YR3DyX73LqbdjcSo8BBX4b","name":"mcp__capy__capy_fetch_and_index","input":{"url":"https://gist.github.com/serpro69/5f5bef3734ddd548b0881c0f03802980/raw/8098a8100c3e1706509fa66bb4836b5e7b5d4dff/session-b5ee5362.jsonl","source":"issue-41-raw-jsonl"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":1635,"cache_read_input_tokens":42289,"output_tokens":397,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1635,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmAuvzmwzaX1f1qLZKR","type":"assistant","uuid":"62d6173b-5fcf-406d-bdc3-16585af88cfc","timestamp":"2026-05-07T06:49:14.273Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"ea1e163b-ca10-4609-b6b0-3be1c1e2a720","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NTzKAYZLigkpi9zurJ9u6h","type":"tool_result","content":[{"type":"text","text":"## mcp__pal__chat tool_use input content\n\n--- [issue-41-gist] ---\n### Select an option > No results found\n\n… |\n| | {\"parentUuid\":null,\"isSidechain\":false,\"attachment\":{\"type\":\"hook\\_success\",\"hookName\":\"SessionStart:startup\",\"toolUseID\":\"5bbd32f1-a1da-4c40-a9b2-d774b2529958\",\"hookEvent\":\"SessionStart\",\"content\":\"\",\"stdout\":\"{\\\\\"hookSpecificOutput\\\\\":{\\\\\"additionalContext\\\\\":\\\\\"\\\\\\\\u003ccontext\\_window\\_protection\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cpriority\\_instructions\\\\\\\\u003e\\\\\\\\n Raw tool output floods your context window. You MUST use capy\\\\\\\\n MCP tools to keep raw data in the sandbox.\\\\\\\\n \\\\\\\\u003c/pr…\n\n… |\n| | {\"parentUuid\":\"010f00be-d8c5-4e52-9814-6017af68620a\",\"isSidechain\":false,\"attachment\":{\"type\":\"hook\\_additional\\_context\",\"content\":\\[\"&lt;context\\_window\\_protection&gt;\\\\n &lt;priority\\_instructions&gt;\\\\n Raw tool output floods your context window. You MUST use capy\\\\n MCP tools to keep raw data in the sandbox.\\\\n &lt;/priority\\_instructions&gt;\\\\n\\\\n &lt;tool\\_selection\\_hierarchy&gt;\\\\n 1. GATHER: capy\\_batch\\_exec…\n\n… |\n| | {\"parentUuid\":\"426bef14-e812-4daa-bfbf-319cf6337280\",\"isSidechain\":false,\"promptId\":\"649006d1-955a-4239-99a6-3bd76b706313\",\"type\":\"user\",\"message\":{\"role\":\"user\",\"…\n\n---\n\n## tool_use assistant blocks with no text content\n\n--- [issue-41-gist] ---\n### Select an option > No results found\n\n… |\n| | {\"parentUuid\":null,\"isSidechain\":false,\"attachment\":{\"type\":\"hook\\_success\",\"hookName\":\"SessionStart:startup\",\"toolUseID\":\"5bbd32f1-a1da-4c40-a9b2-d774b2529958\",\"hookEvent\":\"SessionStart\",\"content\":\"\",\"stdout\":\"{\\\\\"hookSpecificOutput\\\\\":{\\\\\"additionalContext\\\\\":\\\\\"\\\\\\\\u003ccontext\\_window\\_protection\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cpriority\\_instructions\\\\\\\\u003e\\\\\\\\n Raw tool output floods your context window. You MUST use capy\\\\\\\\n MCP tools to keep raw data in the sandbox.\\\\\\\\n \\\\\\\\u003c/pr…\n\n…bidden\\_actions\\\\\\\\u003e\\\\\\\\n\\\\\\\\n \\\\\\\\u003coutput\\_constraints\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cword\\_limit\\\\\\\\u003eKeep your final response under 500 words.\\\\\\\\u003c/word\\_limit\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cartifact\\_policy\\\\\\\\u003e\\\\\\\\n Write artifacts (code, configs, PRDs) to FILES. NEVER return them as inline text.\\\\\\\\n Return only: file path + 1-line description.\\\\\\\\n \\\\\\\\u003c/artifact\\_policy\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cresponse\\_format\\\\\\\\u003e\\\\\\\\n Your response must be a concise summary:\\\\\\\\n - Actions taken (2-3 bullets)\\\\\\\\n - File paths created/modified\\\\\\\\n - Knowledge base source labels (so parent …\n\n… |\n| | {\"parentUuid\":\"010f00be-d8c5-4e52-9814-6017af68620a\",\"isSidechain\":false,\"attachment\":{\"type\":\"hook\\_additional\\_context\",\"…\n\n---\n\n## tool-only turns empty assistant text\n\n--- [issue-41-gist] ---\n### Select an option > No results found\n\n…bidden\\_actions\\\\\\\\u003e\\\\\\\\n\\\\\\\\n \\\\\\\\u003coutput\\_constraints\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cword\\_limit\\\\\\\\u003eKeep your final response under 500 words.\\\\\\\\u003c/word\\_limit\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cartifact\\_policy\\\\\\\\u003e\\\\\\\\n Write artifacts (code, configs, PRDs) to FILES. NEVER return them as inline text.\\\\\\\\n Return only: file path + 1-line description.\\\\\\\\n \\\\\\\\u003c/artifact\\_policy\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cresponse\\_format\\\\\\\\u003e\\\\\\\\n Your response must be a concise summary:\\\\\\\\n - Actions taken (2-3 bullets)\\\\\\\\n - File paths created/modified\\\\\\\\n - Knowledge base source labels (so parent …\n\n…ash is ONLY for git/mkdir/rm/mv/navigation.\\\\n &lt;/forbidden\\_actions&gt;\\\\n\\\\n &lt;output\\_constraints&gt;\\\\n &lt;word\\_limit&gt;Keep your final response under 500 words.&lt;/word\\_limit&gt;\\\\n &lt;artifact\\_policy&gt;\\\\n Write artifacts (code, configs, PRDs) to FILES. NEVER return them as inline text.\\\\n Return only: file path + 1-line description.\\\\n &lt;/artifact\\_policy&gt;\\\\n &lt;response\\_format&gt;\\\\n Your response must be a concise summary:\\\\n - Actions taken (2-3 bullets)\\\\n - File paths created/modified\\\\n - Knowledge base source labels (so parent can search)\\\\n - Key findings\\\\n &…\n\n… |\n| | {\"parentUuid\":\"14f5da5a-5b64-4a35-92e7-afbb74f2dd5a\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg\\_01SJGdCFKDG4v35fCtv2kAKD\",\"type\":\"message\",\"role\":\"…\n\n---\n\n## mcp pal chat design reasoning conversation\n\n--- [issue-41-gist] ---\n### Select an option > No results found\n\n…f1-a1da-4c40-a9b2-d774b2529958\",\"hookEvent\":\"SessionStart\",\"content\":\"\",\"stdout\":\"{\\\\\"hookSpecificOutput\\\\\":{\\\\\"additionalContext\\\\\":\\\\\"\\\\\\\\u003ccontext\\_window\\_protection\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cpriority\\_instructions\\\\\\\\u003e\\\\\\\\n Raw tool output floods your context window. You MUST use capy\\\\\\\\n MCP tools to keep raw data in the sandbox.\\\\\\\\n \\\\\\\\u003c/priority\\_instructions\\\\\\\\u003e\\\\\\\\n\\\\\\\\n \\\\\\\\u003ctool\\_selection\\_hierarchy\\\\\\\\u003e\\\\\\\\n 1. GATHER: capy\\_batch\\_execute(commands, queries)\\\\\\\\n - Primary tool for research. Runs all commands, auto-indexes, and searches.\\\\\\\\n - ONE call re…\n\n…base source labels (so parent can search)\\\\\\\\n - Key findings\\\\\\\\n \\\\\\\\u003c/response\\_format\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003c/output\\_constraints\\\\\\\\u003e\\\\\\\\n\\\\\\\\n \\\\\\\\u003ccapy\\_commands\\\\\\\\u003e\\\\\\\\n When the user says \\\\\\\\\\\\\"capy stats\\\\\\\\\\\\\" or asks about context savings:\\\\\\\\n → Call the capy\\_stats MCP tool and display the full output verbatim.\\\\\\\\n\\\\\\\\n When the user says \\\\\\\\\\\\\"capy doctor\\\\\\\\\\\\\" or asks to diagnose capy:\\\\\\\\n → Call the capy\\_doctor MCP tool and display results as a checklist.\\\\\\\\n \\\\\\\\u003c/capy\\_commands\\\\\\\\u003e\\\\\\\\n\\\\\\\\u003c/context\\_window\\_protection\\\\\\\\u003e\\\\\",\\\\\"hookEventName\\\\\":\\\\\"SessionStart\\\\\"}}\",\"stderr\":\"\",\"exitCode\":0,\"command\":\"bash $CLAUDE\\_PROJECT\\_DIR/.claude/scripts/capy.sh hook sessionstart\",\"durationMs\":7…\n\n… |\n| | {\"parentUuid\":\"010f00be-d8c5-4e52-9814-6017af68620a\",\"isSidechain\":false,\"attachment\":{\"type\":\"hook\\_additional\\_c…"}]}]},"uuid":"edb1869c-d345-4b0c-bde5-21faa12e4b73","timestamp":"2026-05-07T06:49:17.747Z","toolUseResult":[{"type":"text","text":"## mcp__pal__chat tool_use input content\n\n--- [issue-41-gist] ---\n### Select an option > No results found\n\n… |\n| | {\"parentUuid\":null,\"isSidechain\":false,\"attachment\":{\"type\":\"hook\\_success\",\"hookName\":\"SessionStart:startup\",\"toolUseID\":\"5bbd32f1-a1da-4c40-a9b2-d774b2529958\",\"hookEvent\":\"SessionStart\",\"content\":\"\",\"stdout\":\"{\\\\\"hookSpecificOutput\\\\\":{\\\\\"additionalContext\\\\\":\\\\\"\\\\\\\\u003ccontext\\_window\\_protection\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cpriority\\_instructions\\\\\\\\u003e\\\\\\\\n Raw tool output floods your context window. You MUST use capy\\\\\\\\n MCP tools to keep raw data in the sandbox.\\\\\\\\n \\\\\\\\u003c/pr…\n\n… |\n| | {\"parentUuid\":\"010f00be-d8c5-4e52-9814-6017af68620a\",\"isSidechain\":false,\"attachment\":{\"type\":\"hook\\_additional\\_context\",\"content\":\\[\"&lt;context\\_window\\_protection&gt;\\\\n &lt;priority\\_instructions&gt;\\\\n Raw tool output floods your context window. You MUST use capy\\\\n MCP tools to keep raw data in the sandbox.\\\\n &lt;/priority\\_instructions&gt;\\\\n\\\\n &lt;tool\\_selection\\_hierarchy&gt;\\\\n 1. GATHER: capy\\_batch\\_exec…\n\n… |\n| | {\"parentUuid\":\"426bef14-e812-4daa-bfbf-319cf6337280\",\"isSidechain\":false,\"promptId\":\"649006d1-955a-4239-99a6-3bd76b706313\",\"type\":\"user\",\"message\":{\"role\":\"user\",\"…\n\n---\n\n## tool_use assistant blocks with no text content\n\n--- [issue-41-gist] ---\n### Select an option > No results found\n\n… |\n| | {\"parentUuid\":null,\"isSidechain\":false,\"attachment\":{\"type\":\"hook\\_success\",\"hookName\":\"SessionStart:startup\",\"toolUseID\":\"5bbd32f1-a1da-4c40-a9b2-d774b2529958\",\"hookEvent\":\"SessionStart\",\"content\":\"\",\"stdout\":\"{\\\\\"hookSpecificOutput\\\\\":{\\\\\"additionalContext\\\\\":\\\\\"\\\\\\\\u003ccontext\\_window\\_protection\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cpriority\\_instructions\\\\\\\\u003e\\\\\\\\n Raw tool output floods your context window. You MUST use capy\\\\\\\\n MCP tools to keep raw data in the sandbox.\\\\\\\\n \\\\\\\\u003c/pr…\n\n…bidden\\_actions\\\\\\\\u003e\\\\\\\\n\\\\\\\\n \\\\\\\\u003coutput\\_constraints\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cword\\_limit\\\\\\\\u003eKeep your final response under 500 words.\\\\\\\\u003c/word\\_limit\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cartifact\\_policy\\\\\\\\u003e\\\\\\\\n Write artifacts (code, configs, PRDs) to FILES. NEVER return them as inline text.\\\\\\\\n Return only: file path + 1-line description.\\\\\\\\n \\\\\\\\u003c/artifact\\_policy\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cresponse\\_format\\\\\\\\u003e\\\\\\\\n Your response must be a concise summary:\\\\\\\\n - Actions taken (2-3 bullets)\\\\\\\\n - File paths created/modified\\\\\\\\n - Knowledge base source labels (so parent …\n\n… |\n| | {\"parentUuid\":\"010f00be-d8c5-4e52-9814-6017af68620a\",\"isSidechain\":false,\"attachment\":{\"type\":\"hook\\_additional\\_context\",\"…\n\n---\n\n## tool-only turns empty assistant text\n\n--- [issue-41-gist] ---\n### Select an option > No results found\n\n…bidden\\_actions\\\\\\\\u003e\\\\\\\\n\\\\\\\\n \\\\\\\\u003coutput\\_constraints\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cword\\_limit\\\\\\\\u003eKeep your final response under 500 words.\\\\\\\\u003c/word\\_limit\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cartifact\\_policy\\\\\\\\u003e\\\\\\\\n Write artifacts (code, configs, PRDs) to FILES. NEVER return them as inline text.\\\\\\\\n Return only: file path + 1-line description.\\\\\\\\n \\\\\\\\u003c/artifact\\_policy\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cresponse\\_format\\\\\\\\u003e\\\\\\\\n Your response must be a concise summary:\\\\\\\\n - Actions taken (2-3 bullets)\\\\\\\\n - File paths created/modified\\\\\\\\n - Knowledge base source labels (so parent …\n\n…ash is ONLY for git/mkdir/rm/mv/navigation.\\\\n &lt;/forbidden\\_actions&gt;\\\\n\\\\n &lt;output\\_constraints&gt;\\\\n &lt;word\\_limit&gt;Keep your final response under 500 words.&lt;/word\\_limit&gt;\\\\n &lt;artifact\\_policy&gt;\\\\n Write artifacts (code, configs, PRDs) to FILES. NEVER return them as inline text.\\\\n Return only: file path + 1-line description.\\\\n &lt;/artifact\\_policy&gt;\\\\n &lt;response\\_format&gt;\\\\n Your response must be a concise summary:\\\\n - Actions taken (2-3 bullets)\\\\n - File paths created/modified\\\\n - Knowledge base source labels (so parent can search)\\\\n - Key findings\\\\n &…\n\n… |\n| | {\"parentUuid\":\"14f5da5a-5b64-4a35-92e7-afbb74f2dd5a\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg\\_01SJGdCFKDG4v35fCtv2kAKD\",\"type\":\"message\",\"role\":\"…\n\n---\n\n## mcp pal chat design reasoning conversation\n\n--- [issue-41-gist] ---\n### Select an option > No results found\n\n…f1-a1da-4c40-a9b2-d774b2529958\",\"hookEvent\":\"SessionStart\",\"content\":\"\",\"stdout\":\"{\\\\\"hookSpecificOutput\\\\\":{\\\\\"additionalContext\\\\\":\\\\\"\\\\\\\\u003ccontext\\_window\\_protection\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003cpriority\\_instructions\\\\\\\\u003e\\\\\\\\n Raw tool output floods your context window. You MUST use capy\\\\\\\\n MCP tools to keep raw data in the sandbox.\\\\\\\\n \\\\\\\\u003c/priority\\_instructions\\\\\\\\u003e\\\\\\\\n\\\\\\\\n \\\\\\\\u003ctool\\_selection\\_hierarchy\\\\\\\\u003e\\\\\\\\n 1. GATHER: capy\\_batch\\_execute(commands, queries)\\\\\\\\n - Primary tool for research. Runs all commands, auto-indexes, and searches.\\\\\\\\n - ONE call re…\n\n…base source labels (so parent can search)\\\\\\\\n - Key findings\\\\\\\\n \\\\\\\\u003c/response\\_format\\\\\\\\u003e\\\\\\\\n \\\\\\\\u003c/output\\_constraints\\\\\\\\u003e\\\\\\\\n\\\\\\\\n \\\\\\\\u003ccapy\\_commands\\\\\\\\u003e\\\\\\\\n When the user says \\\\\\\\\\\\\"capy stats\\\\\\\\\\\\\" or asks about context savings:\\\\\\\\n → Call the capy\\_stats MCP tool and display the full output verbatim.\\\\\\\\n\\\\\\\\n When the user says \\\\\\\\\\\\\"capy doctor\\\\\\\\\\\\\" or asks to diagnose capy:\\\\\\\\n → Call the capy\\_doctor MCP tool and display results as a checklist.\\\\\\\\n \\\\\\\\u003c/capy\\_commands\\\\\\\\u003e\\\\\\\\n\\\\\\\\u003c/context\\_window\\_protection\\\\\\\\u003e\\\\\",\\\\\"hookEventName\\\\\":\\\\\"SessionStart\\\\\"}}\",\"stderr\":\"\",\"exitCode\":0,\"command\":\"bash $CLAUDE\\_PROJECT\\_DIR/.claude/scripts/capy.sh hook sessionstart\",\"durationMs\":7…\n\n… |\n| | {\"parentUuid\":\"010f00be-d8c5-4e52-9814-6017af68620a\",\"isSidechain\":false,\"attachment\":{\"type\":\"hook\\_additional\\_c…"}],"sourceToolAssistantUUID":"ea1e163b-ca10-4609-b6b0-3be1c1e2a720","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"62d6173b-5fcf-406d-bdc3-16585af88cfc","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YR3DyX73LqbdjcSo8BBX4b","type":"tool_result","content":[{"type":"text","text":"Fetched and indexed **28 sections** (1260.6KB) from: issue-41-raw-jsonl\nFull content indexed in sandbox — use search(queries: [...], source: \"issue-41-raw-jsonl\") for specific lookups.\n\n---\n\n{\"type\":\"permission-mode\",\"permissionMode\":\"default\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\"}\n{\"parentUuid\":null,\"isSidechain\":false,\"attachment\":{\"type\":\"hook_success\",\"hookName\":\"SessionStart:startup\",\"toolUseID\":\"5bbd32f1-a1da-4c40-a9b2-d774b2529958\",\"hookEvent\":\"SessionStart\",\"content\":\"\",\"stdout\":\"{\\\"hookSpecificOutput\\\":{\\\"additionalContext\\\":\\\"\\\\u003ccontext_window_protection\\\\u003e\\\\n \\\\u003cpriority_instructions\\\\u003e\\\\n Raw tool output floods your context window. You MUST use capy\\\\n MCP tools to keep raw data in the sandbox.\\\\n \\\\u003c/priority_instructions\\\\u003e\\\\n\\\\n \\\\u003ctool_selection_hierarchy\\\\u003e\\\\n 1. GATHER: capy_batch_execute(commands, queries)\\\\n - Primary tool for research. Runs all commands, auto-indexes, and searches.\\\\n - ONE call replaces many individual steps.\\\\n 2. FOLLOW-UP: capy_search(queries: [\\\\\\\"q1\\\\\\\", \\\\\\\"q2\\\\\\\", ...])\\\\n - Use for all follow-up questions. ONE call, many queries.\\\\n 3. PROCESSING: capy_execute(language, code) | capy_execute_file(path, language, code)\\\\n - Use for API calls, log analysis, and data processing.\\\\n \\\\u003c/tool_selection_hierarchy\\\\u003e\\\\n\\\\n \\\\u003cforbidden_actions\\\\u003e\\\\n - DO NOT use Bash for commands producing \\\\u003e20 lines of output.\\\\n - DO NOT use Read for analysis (use execute_file). Read IS correct for files you intend to Edit.\\\\n - DO NOT use WebFetch (use capy_fetch_and_index instead).\\\\n - Bash is ONLY for git/mkdir/rm/mv/navigation.\\\\n \\\\u003c/forbidden_actions\\\\u003e\\\\n\\\\n \\\\u003coutput_constraints\\\\u003e\\\\n \\\\u003cword_limit\\\\u003eKeep your final response under 500 words.\\\\u003c/word_limit\\\\u003e\\\\n \\\\u003cartifact_policy\\\\u003e\\\\n Write artifacts (code, configs, PRDs) to FILES. NEVER return them as inline text.\\\\n Return only: file path + 1-line description.\\\\n \\\\u003c/artifact_policy\\\\u003e\\\\n \\\\u003cresponse_format\\\\u003e\\\\n Your response must be a concise summary:\\\\n - Actions taken (2-3 bullets)\\\\n - File paths created/modified\\\\n - Knowledge base source labels (so parent can search)\\\\n - Key findings\\\\n \\\\u003c/response_format\\\\u003e\\\\n \\\\u003c/output_constraints\\\\u003e\\\\n\\\\n \\\\u003ccapy_commands\\\\u003e\\\\n When the user says \\\\\\\"capy stats\\\\\\\" or asks about context savings:\\\\n → Call the capy_stats MCP tool and display the full output verbatim.\\\\n\\\\n When the user says \\\\\\\"capy doctor\\\\\\\" or asks to diagnose capy:\\\\n → Call the capy_doctor MCP tool and display results as a checklist.\\\\n \\\\u003c/capy_commands\\\\u003e\\\\n\\\\u003c/context_window_protection\\\\u003e\\\",\\\"hookEventName\\\":\\\"SessionStart\\\"}}\",\"stderr\":\"\",\"exitCode\":0,\"command\":\"bash $CLAUDE_PROJECT_DIR/.claude/scripts/capy.sh hook sessionstart\",\"durationMs\":79},\"type\":\"attachment\",\"uuid\":\"010f00be-d8c5-4e52-9814-6017af68620a\",\"timestamp\":\"2026-04-23T17:56:06.201Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\n\n…[truncated — use search() for full content]"}]}]},"uuid":"01ea289f-cb7d-4f65-a3aa-5b3b1125ae76","timestamp":"2026-05-07T06:49:20.204Z","toolUseResult":[{"type":"text","text":"Fetched and indexed **28 sections** (1260.6KB) from: issue-41-raw-jsonl\nFull content indexed in sandbox — use search(queries: [...], source: \"issue-41-raw-jsonl\") for specific lookups.\n\n---\n\n{\"type\":\"permission-mode\",\"permissionMode\":\"default\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\"}\n{\"parentUuid\":null,\"isSidechain\":false,\"attachment\":{\"type\":\"hook_success\",\"hookName\":\"SessionStart:startup\",\"toolUseID\":\"5bbd32f1-a1da-4c40-a9b2-d774b2529958\",\"hookEvent\":\"SessionStart\",\"content\":\"\",\"stdout\":\"{\\\"hookSpecificOutput\\\":{\\\"additionalContext\\\":\\\"\\\\u003ccontext_window_protection\\\\u003e\\\\n \\\\u003cpriority_instructions\\\\u003e\\\\n Raw tool output floods your context window. You MUST use capy\\\\n MCP tools to keep raw data in the sandbox.\\\\n \\\\u003c/priority_instructions\\\\u003e\\\\n\\\\n \\\\u003ctool_selection_hierarchy\\\\u003e\\\\n 1. GATHER: capy_batch_execute(commands, queries)\\\\n - Primary tool for research. Runs all commands, auto-indexes, and searches.\\\\n - ONE call replaces many individual steps.\\\\n 2. FOLLOW-UP: capy_search(queries: [\\\\\\\"q1\\\\\\\", \\\\\\\"q2\\\\\\\", ...])\\\\n - Use for all follow-up questions. ONE call, many queries.\\\\n 3. PROCESSING: capy_execute(language, code) | capy_execute_file(path, language, code)\\\\n - Use for API calls, log analysis, and data processing.\\\\n \\\\u003c/tool_selection_hierarchy\\\\u003e\\\\n\\\\n \\\\u003cforbidden_actions\\\\u003e\\\\n - DO NOT use Bash for commands producing \\\\u003e20 lines of output.\\\\n - DO NOT use Read for analysis (use execute_file). Read IS correct for files you intend to Edit.\\\\n - DO NOT use WebFetch (use capy_fetch_and_index instead).\\\\n - Bash is ONLY for git/mkdir/rm/mv/navigation.\\\\n \\\\u003c/forbidden_actions\\\\u003e\\\\n\\\\n \\\\u003coutput_constraints\\\\u003e\\\\n \\\\u003cword_limit\\\\u003eKeep your final response under 500 words.\\\\u003c/word_limit\\\\u003e\\\\n \\\\u003cartifact_policy\\\\u003e\\\\n Write artifacts (code, configs, PRDs) to FILES. NEVER return them as inline text.\\\\n Return only: file path + 1-line description.\\\\n \\\\u003c/artifact_policy\\\\u003e\\\\n \\\\u003cresponse_format\\\\u003e\\\\n Your response must be a concise summary:\\\\n - Actions taken (2-3 bullets)\\\\n - File paths created/modified\\\\n - Knowledge base source labels (so parent can search)\\\\n - Key findings\\\\n \\\\u003c/response_format\\\\u003e\\\\n \\\\u003c/output_constraints\\\\u003e\\\\n\\\\n \\\\u003ccapy_commands\\\\u003e\\\\n When the user says \\\\\\\"capy stats\\\\\\\" or asks about context savings:\\\\n → Call the capy_stats MCP tool and display the full output verbatim.\\\\n\\\\n When the user says \\\\\\\"capy doctor\\\\\\\" or asks to diagnose capy:\\\\n → Call the capy_doctor MCP tool and display results as a checklist.\\\\n \\\\u003c/capy_commands\\\\u003e\\\\n\\\\u003c/context_window_protection\\\\u003e\\\",\\\"hookEventName\\\":\\\"SessionStart\\\"}}\",\"stderr\":\"\",\"exitCode\":0,\"command\":\"bash $CLAUDE_PROJECT_DIR/.claude/scripts/capy.sh hook sessionstart\",\"durationMs\":79},\"type\":\"attachment\",\"uuid\":\"010f00be-d8c5-4e52-9814-6017af68620a\",\"timestamp\":\"2026-04-23T17:56:06.201Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\n\n…[truncated — use search() for full content]"}],"sourceToolAssistantUUID":"62d6173b-5fcf-406d-bdc3-16585af88cfc","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"type":"last-prompt","lastPrompt":"Explore this issue I discovered yesterday when comparing an indexed session vs raw jsonl session file : https://github.com/serpro69/capy/issues/41 Perform a thorough analysis of the issue. Then use kk…","leafUuid":"01ea289f-cb7d-4f65-a3aa-5b3b1125ae76","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"ai-title","aiTitle":"Analyze session indexing issue and document RAG design v2","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"permission-mode","permissionMode":"default","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"parentUuid":"01ea289f-cb7d-4f65-a3aa-5b3b1125ae76","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018qRcDdAmFbK3NJyyioA3Zz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AxHJnrPPz77bDgmMEUkfMg","name":"mcp__capy__capy_search","input":{"queries":["mcp__pal__chat tool_use input prompt","tool_use name mcp__pal input text conversation","assistant message tool_use Read file_path input","assistant tool_use Bash command input content"],"source":"issue-41-raw-jsonl","limit":3},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3668,"cache_read_input_tokens":43924,"output_tokens":151,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3668,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmBzUNXbLLkTbdUs6rq","type":"assistant","uuid":"23eb0ee8-2b63-4392-a4bd-f7fb4edb2766","timestamp":"2026-05-07T06:49:23.901Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"23eb0ee8-2b63-4392-a4bd-f7fb4edb2766","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AxHJnrPPz77bDgmMEUkfMg","type":"tool_result","content":[{"type":"text","text":"## mcp__pal__chat tool_use input prompt\n\n--- [issue-41-raw-jsonl] ---\n### {\"type\":\"permission-mode\",\"permissionMode\":\"default\",\"sessionId\":\"b5ee5362-8700-\n\n…ile-history-snapshot\",\"messageId\":\"c99dba3d-d256-45fe-ac93-2f45fd2d3179\",\"snapshot\":{\"messageId\":\"c99dba3d-d256-45fe-ac93-2f45fd2d3179\",\"trackedFileBackups\":{},\"timestamp\":\"2026-04-23T17:56:19.875Z\"},\"isSnapshotUpdate\":false}\n{\"parentUuid\":\"426bef14-e812-4daa-bfbf-319cf6337280\",\"isSidechain\":false,\"promptId\":\"649006d1-955a-4239-99a6-3bd76b706313\",\"type\":\"user\",\"message\":{\"role\":\"user\",\"content\":\"Let's chat about this feature https://github.com/serpro69/capy/issues/24\"},\"uuid\":\"c99dba3d-d256-45fe-ac93-2f45fd2d3179\",\"timestamp\":\"2026-04-23T17:56:19.856Z\",\"permissionMode\":\"default\",\"userType\":\"ex…\n\n…mcp__claude_ai_Notion__authenticate\",\"mcp__claude_ai_Notion__complete_authentication\",\"mcp__claude_ai_Slack__authenticate\",\"mcp__claude_ai_Slack__complete_authentication\",\"mcp__context7__query-docs\",\"mcp__context7__resolve-library-id\",\"mcp__pal__analyze\",\"mcp__pal__apilookup\",\"mcp__pal__challenge\",\"mcp__pal__chat\",\"mcp__pal__clink\",\"mcp__pal__codereview\",\"mcp__pal__consensus\",\"mcp__pal__debug\",\"mcp__pal__docgen\",\"mcp__pal__listmodels\",\"mcp__pal__planner\",\"mcp__pal__precommit\",\"mcp__pal__refactor\",\"mcp__pal__secaudit\",\"mcp__pal__testgen\",\"mcp__pal__thinkdeep\",\"mcp__pal__tracer\",\"mcp__pal__versi…\n\n…mcp__claude_ai_Notion__authenticate\",\"mcp__claude_ai_Notion__complete_authentication\",\"mcp__claude_ai_Slack__authenticate\",\"mcp__claude_ai_Slack__complete_authentication\",\"mcp__context7__query-docs\",\"mcp__context7__resolve-library-id\",\"mcp__pal__analyze\",\"mcp__pal__apilookup\",\"mcp__pal__challenge\",\"…\n\n--- [issue-41-raw-jsonl] ---\n### {\"type\":\"file-history-snapshot\",\"messageId\":\"5fccac32-8aef-4d7c-abc9-7bb62c7d9fb\n\n…ile-history-snapshot\",\"messageId\":\"5fccac32-8aef-4d7c-abc9-7bb62c7d9fbd\",\"snapshot\":{\"messageId\":\"5fccac32-8aef-4d7c-abc9-7bb62c7d9fbd\",\"trackedFileBackups\":{},\"timestamp\":\"2026-04-23T18:04:44.249Z\"},\"isSnapshotUpdate\":false}\n{\"parentUuid\":\"1cf22aa0-40f6-4315-b956-06544669c268\",\"isSidechain\":false,\"promptId\":\"146d12f0-3fdd-4c52-b4e4-ddd71e37819a\",\"type\":\"user\",\"message\":{\"role\":\"user\",\"content\":\"1. Format - yes, only the human/assistant conversations. Skip raw tool results, file edits (I guess they're part of tool results). Also need to take care of sessions that didn't have any meaningful inputs, for example a human started claude-code to configre it via `/config` command, and then closed the session; anything related to inner-workings of claude-code basically.\\n2. Ingestion - automatic, offload the burden to a hook that runs on session end. Don't expose the functionality to the mcp …\n\n…g0l+wMUFvWr/tbXT+XgT6Eyq8ATxbh3ws8Dpepcdfia2GZqBzYKBpbxYooSVcFjiXJBJp7qEhSMURcal2Btr5/QKDd461D2Zv5f/tsa9zfOFNu6Sif3YkNmrW7J7Gu8j8qYVf4awBwCWHJ9XGAPwOdZndgJvuNu1yvtiqZdQErMJB+jwRb4Tb4CdyVfhzfdE5+Wo86NP+Zw96X+ymDM5udwTHEqt/uAfqPYtBCXoetoa4//aIVxa6UrLAq+PNG1+0WBEmUGSDwK+nzSg9U8AoGAE=\"}],\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":10,\"cache_creation_input_tokens\":892,\"cache_read_input_tokens\":22887,\"output_tokens\":155,\"server_tool_use\":{\"web_search_requests\":0,\"web_fetch_requests\":0},\"service_tier\":\"standard\",\"cache_creation\":{\"ephemeral_1h_input_tokens\":…\n\n---\n\n## tool_use name mcp__pal input text conversation\n\n--- [issue-41-raw-jsonl] ---\n### {\"type\":\"permission-mode\",\"permissionMode\":\"default\",\"sessionId\":\"b5ee5362-8700-\n\n…essionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\"}\n{\"parentUuid\":null,\"isSidechain\":false,\"attachment\":{\"type\":\"hook_success\",\"hookName\":\"SessionStart:startup\",\"toolUseID\":\"5bbd32f1-a1da-4c40-a9b2-d774b2529958\",\"hookEvent\":\"SessionStart\",\"content\":\"\",\"stdout\":\"{\\\"hookSpecificOutput\\\":{\\\"additionalContext\\\":\\\"\\\\u003ccontext_window_protection\\\\u003e\\\\n \\\\u003cpriority_instructions\\\\u003e\\\\n Raw tool output floods your context window. You MUST use capy\\\\n MCP tools to keep raw data in the sandbox.\\\\n \\\\u003c/priority_instructions\\\\u003e\\\\n\\\\n \\\\u003ctool_selection_hierarchy\\\\u003e\\\\n 1. GATHER: capy_batch_execute(commands, queries)\\\\n - Primary tool for research. Runs all commands, auto-indexes, and sea…\n\n…tion.\\\\n \\\\u003c/forbidden_actions\\\\u003e\\\\n\\\\n \\\\u003coutput_constraints\\\\u003e\\\\n \\\\u003cword_limit\\\\u003eKeep your final response under 500 words.\\\\u003c/word_limit\\\\u003e\\\\n \\\\u003cartifact_policy\\\\u003e\\\\n Write artifacts (code, configs, PRDs) to FILES. NEVER return them as inline text.\\\\n Return only: file path + 1-line description.\\\\n \\\\u003c/artifact_policy\\\\u003e\\\\n \\\\u003cresponse_format\\\\u003e\\\\n Your response must be a concise summary:\\\\n - Actions taken (2-3 bullets)\\\\n - File paths created/modified\\\\n - Knowledge base source labels (so parent can search)\\\\n - Key findings\\\\n \\\\u003c/response_format\\\\u003e\\\\n \\\\u003c/output_constraints\\\\u003e\\\\n\\\\n \\\\u003ccapy_commands\\\\u003e\\\\n When the user sa…\n\n--- [issue-41-raw-jsonl] ---\n### {\"type\":\"file-history-snapshot\",\"messageId\":\"5fccac32-8aef-4d7c-abc9-7bb62c7d9fb\n\n…kedFileBackups\":{},\"timestamp\":\"2026-04-23T18:04:44.249Z\"},\"isSnapshotUpdate\":false}\n{\"parentUuid\":\"1cf22aa0-40f6-4315-b956-06544669c268\",\"isSidechain\":false,\"promptId\":\"146d12f0-3fdd-4c52-b4e4-ddd71e37819a\",\"type\":\"user\",\"message\":{\"role\":\"user\",\"content\":\"1. Format - yes, only the human/assistant conversations. Skip raw tool results, file edits (I guess they're part of tool results). Also need to take care of sessions that didn't have any meaningful inputs, for example a human started claude-code to configre it via `/config` command, and then closed the session; anything related to inner-workings of claude-code basically.\\n2. Ingestion - automatic, offload the burden to a hook that runs on session end. Don't expose the functionality to the mcp …\n\n…g0l+wMUFvWr/tbXT+XgT6Eyq8ATxbh3ws8Dpepcdfia2GZqBzYKBpbxYooSVcFjiXJBJp7qEhSMURcal2Btr5/QKDd461D2Zv5f/tsa9zfOFNu6Sif3YkNmrW7J7Gu8j8qYVf4awBwCWHJ9XGAPwOdZndgJvuNu1yvtiqZdQErMJB+jwRb4Tb4CdyVfhzfdE5+Wo86NP+Zw96X+ymDM5udwTHEqt/uAfqPYtBCXoetoa4//aIVxa6UrLAq+PNG1+0WBEmUGSDwK+nzSg9U8AoGAE=\"}],\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":10,\"cache_creation_input_tokens\":892,\"cache_read_input_tokens\":22887,\"output_tokens\":155,\"server_tool_use\":{\"web_search_requests\":0,\"web_fetch_requests\":0},\"service_tier\":\"standard\",\"cache_creation\":{\"ephemeral_1h_input_tokens\":892,\"ephemeral_5m_input_tokens\":0},\"inference_geo\":\"\",\"iterations\":[],\"speed\":\"standard\"}},\"requestId\":\"req_011CaM9NMBZ1xmLe2yHNc1Ti\",\"type\":…\n\n---\n\n## assistant message tool_use Read file_path input\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"0ac2f7d6-b5e3-490b-a046-9538856bf249\",\"isSidechain\":false,\"attach\n\n…nt\",\"uuid\":\"559718ee-97a8-4750-a6f7-7fd47f07f216\",\"timestamp\":\"2026-04-23T19:36:35.929Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"master\"}\n{\"type\":\"file-history-snapshot\",\"messageId\":\"d95ece34-e2bb-482e-9514-e431b2ba959b\",\"snapshot\":{\"messageId\":\"021f8342-32de-4f12-b510-c2420c60b04f\",\"trackedFileBackups\":{\"docs/wip/sessionflow-rag/design.md\":{\"backupFileName\":null,\"version\":1,\"backupTime\":\"2026-04-23T19:38:15.168Z\"}},\"timestamp\":\"2026-04-23T19:33:15.441Z\"},\"isSnapshotUpdate\":true}\n{\"parentUuid\":\"559718ee-97a8-4750-a6f7-7fd47f07f216\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01WrNfpx5UdE9D9ix6J9pPZi\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"toolu_01XwMKhUTS3RMbAucujPkYMY\",\"name\":\"Write\",\"input\":{\"file_path\":\"/home/sergio/Projects/personal/capy/docs/wip/sessionflow-rag/design.md\",\"content\":\"# Sessionflow RAG — Design Document\\n\\n> **Issue:** [#24](https://github.com/serpro69/capy/issues/24)\\n> **Status:** Draft\\n> **Created:** 2026-04-23\\n\\n## Problem\\n\\nClaude Code stores conversation sessions as JSONL files in `~/.claude/projects/<project-dir-name>/`. These sessions contain valuable decisions, rationale, and context that is lost after conversations end. capy already solves context flooding and provides persistent queryable memory, but only for content explicitly indexed during a session — th…\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"d99a8daf-d162-444b-9d35-67ad6b4c7376\",\"isSidechain\":false,\"messag\n\n{\"parentUuid\":\"d99a8daf-d162-444b-9d35-67ad6b4c7376\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_011CyM1fWmrTgrVkBVrupkAK\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"Now applying all 8 fixes to `design.md`.\"}],\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":1,\"cache_creation_input_tokens\":4805,\"cache_read_input_tokens\":145462,\"output_tokens\":390,\"server_tool_use\":{\"web_search_requests\":0,\"web_fetch_requests\":0},\"service_tier\":\"standard\",\"cache_creation\":{\"ephemeral_1h_input_tokens\":4805,\"ephemeral_5m_input_tokens\":0},\"inference_geo\":\"\",\"iterations\":[],\"speed\":\"standard\"}},\"requestId\":\"req_011CaMJZwCJ3jwNYiCBrnSFL\",\"type\":\"assistant\",\"uuid\":\"5992f210-d9bb-4853-a8ce-e8a347e7a035\",\"timestamp\":\"2026-04-23T20:05:26.451Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"feat/session_rag\"}\n{\"parentUuid\":\"5992f210-d9bb-4853-a8ce-e8a347e7a035\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_011CyM1fWmrTgrVkBVrupkAK\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"toolu_01LALbHFycuCjGkCVJHc3RMk\",\"name\":\"Edit\",\"input\":{\"replace_all\":false,\"file_path\":\"/home/sergio/Projects/personal/capy/docs/wip/sessionflow-rag/design.md\",\"old_string\":\"### Content Type\\n\\nChunks use content type `\\\"session\\\"` — a new value added to the taxonomy alongs…\n\n---\n\n## assistant tool_use Bash command input content\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"4ece8c45-836b-4d41-82f3-f5d5db7d60c6\",\"isSidechain\":false,\"messag\n\n{\"parentUuid\":\"4ece8c45-836b-4d41-82f3-f5d5db7d60c6\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01U1GrmBow4ULC2bdCfdqVPW\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"Important discovery from the bare directories agent: those directories contain **sub-agent conversations**. Each has `subagents/*.jsonl` files with full conversation transcripts (same JSONL schema), plus `*.meta.json` with agent type/description. There's also a rare …\n\n… files, we miss sub-agent work — which is often where detailed research and implementation happens. We'll need to decide whether to include sub-agent conversations. I'll hold that question until all agents report back.\"}],\"stop_reason\":\"end_turn\",\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":10,\"cache_creation_input_tokens\":1400,\"cache_read_input_tokens\":107031,\"output_tokens\":407,\"server_tool_use\":{\"web_search_requests\":0,\"web_fetch_requests\":0},\"service_tier\":\"standard\",\"cache_creation\":{\"ephemeral_1h_input_tokens\":1400,\"ephemeral_5m_input_tokens\":0},\"inference_geo\":\"\",\"iterations\":[],\"speed\":\"standard\"}},\"requestId\":\"req_011CaMEjo6CLwFaiYXSHBGsm\",\"type\":\"assistant\",\"uuid\":\"680bb795-fe13-4231-9882-5c79bedcf5e5\",\"timestamp\":\"2026-04-23T19:15:20.638Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"master\"}\n{\"type\":\"queue-operation\",\"operation\":\"enqueue\",\"timesta…\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"a7f92b9d-d195-408d-a168-7acac0d2e82c\",\"isSidechain\":false,\"messag\n\n{\"parentUuid\":\"a7f92b9d-d195-408d-a168-7acac0d2e82c\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01JRc4pV87sAjm4Q4eNEDWAw\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"toolu_01R4mW5Vn1yFdijcDrLQQj6F\",\"name\":\"Agent\",\"input\":{\"description\":\"Special message types analysis\",\"subagent_type\":\"Explore\",\"prompt\":\"Analyze all NON-user, NON-assistant message types across ALL .jsonl files in both:\\n- ~/.claude/projects/-home-sergio-Projects-personal-capy/\\n- ~/.claude/projects/-home-sergio-Projects-personal-claude-toolbox/\\n\\nWrite a Python script that for each line where type is NOT \\\"user\\\" or \\\"assistant\\\":\\n1. Catalog every type value: attachment, file-history-snapshot, permission-mode, last-prompt, summary, system, etc.\\n2. For each type, show the full JSON structure (keys only, not values) and 1-2 truncated examples\\n3. For \\\"attachment\\\" type specifically: what are the different attach…\n\n…n4. Look for any type that resembles a \\\"compact summary\\\" or \\\"context compaction\\\" marker\\n5. Look for any \\\"system\\\" or \\\"system-reminder\\\" type messages\\n6. Look for any \\\"summary\\\" type that Claude Code creates when compacting context\\n7. Report which of these types carry useful conversational content vs pure metadata\\n\\nBe thorough — process every file, don't sample.\",\"run_in_background\":true},\"caller\":{\"type\":\"direct\"}}],\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":10,\"cache_creation_input_tokens\"…"}]}]},"uuid":"b6538dc9-4a22-4e1f-a0df-3a4c08e42318","timestamp":"2026-05-07T06:49:24.300Z","toolUseResult":[{"type":"text","text":"## mcp__pal__chat tool_use input prompt\n\n--- [issue-41-raw-jsonl] ---\n### {\"type\":\"permission-mode\",\"permissionMode\":\"default\",\"sessionId\":\"b5ee5362-8700-\n\n…ile-history-snapshot\",\"messageId\":\"c99dba3d-d256-45fe-ac93-2f45fd2d3179\",\"snapshot\":{\"messageId\":\"c99dba3d-d256-45fe-ac93-2f45fd2d3179\",\"trackedFileBackups\":{},\"timestamp\":\"2026-04-23T17:56:19.875Z\"},\"isSnapshotUpdate\":false}\n{\"parentUuid\":\"426bef14-e812-4daa-bfbf-319cf6337280\",\"isSidechain\":false,\"promptId\":\"649006d1-955a-4239-99a6-3bd76b706313\",\"type\":\"user\",\"message\":{\"role\":\"user\",\"content\":\"Let's chat about this feature https://github.com/serpro69/capy/issues/24\"},\"uuid\":\"c99dba3d-d256-45fe-ac93-2f45fd2d3179\",\"timestamp\":\"2026-04-23T17:56:19.856Z\",\"permissionMode\":\"default\",\"userType\":\"ex…\n\n…mcp__claude_ai_Notion__authenticate\",\"mcp__claude_ai_Notion__complete_authentication\",\"mcp__claude_ai_Slack__authenticate\",\"mcp__claude_ai_Slack__complete_authentication\",\"mcp__context7__query-docs\",\"mcp__context7__resolve-library-id\",\"mcp__pal__analyze\",\"mcp__pal__apilookup\",\"mcp__pal__challenge\",\"mcp__pal__chat\",\"mcp__pal__clink\",\"mcp__pal__codereview\",\"mcp__pal__consensus\",\"mcp__pal__debug\",\"mcp__pal__docgen\",\"mcp__pal__listmodels\",\"mcp__pal__planner\",\"mcp__pal__precommit\",\"mcp__pal__refactor\",\"mcp__pal__secaudit\",\"mcp__pal__testgen\",\"mcp__pal__thinkdeep\",\"mcp__pal__tracer\",\"mcp__pal__versi…\n\n…mcp__claude_ai_Notion__authenticate\",\"mcp__claude_ai_Notion__complete_authentication\",\"mcp__claude_ai_Slack__authenticate\",\"mcp__claude_ai_Slack__complete_authentication\",\"mcp__context7__query-docs\",\"mcp__context7__resolve-library-id\",\"mcp__pal__analyze\",\"mcp__pal__apilookup\",\"mcp__pal__challenge\",\"…\n\n--- [issue-41-raw-jsonl] ---\n### {\"type\":\"file-history-snapshot\",\"messageId\":\"5fccac32-8aef-4d7c-abc9-7bb62c7d9fb\n\n…ile-history-snapshot\",\"messageId\":\"5fccac32-8aef-4d7c-abc9-7bb62c7d9fbd\",\"snapshot\":{\"messageId\":\"5fccac32-8aef-4d7c-abc9-7bb62c7d9fbd\",\"trackedFileBackups\":{},\"timestamp\":\"2026-04-23T18:04:44.249Z\"},\"isSnapshotUpdate\":false}\n{\"parentUuid\":\"1cf22aa0-40f6-4315-b956-06544669c268\",\"isSidechain\":false,\"promptId\":\"146d12f0-3fdd-4c52-b4e4-ddd71e37819a\",\"type\":\"user\",\"message\":{\"role\":\"user\",\"content\":\"1. Format - yes, only the human/assistant conversations. Skip raw tool results, file edits (I guess they're part of tool results). Also need to take care of sessions that didn't have any meaningful inputs, for example a human started claude-code to configre it via `/config` command, and then closed the session; anything related to inner-workings of claude-code basically.\\n2. Ingestion - automatic, offload the burden to a hook that runs on session end. Don't expose the functionality to the mcp …\n\n…g0l+wMUFvWr/tbXT+XgT6Eyq8ATxbh3ws8Dpepcdfia2GZqBzYKBpbxYooSVcFjiXJBJp7qEhSMURcal2Btr5/QKDd461D2Zv5f/tsa9zfOFNu6Sif3YkNmrW7J7Gu8j8qYVf4awBwCWHJ9XGAPwOdZndgJvuNu1yvtiqZdQErMJB+jwRb4Tb4CdyVfhzfdE5+Wo86NP+Zw96X+ymDM5udwTHEqt/uAfqPYtBCXoetoa4//aIVxa6UrLAq+PNG1+0WBEmUGSDwK+nzSg9U8AoGAE=\"}],\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":10,\"cache_creation_input_tokens\":892,\"cache_read_input_tokens\":22887,\"output_tokens\":155,\"server_tool_use\":{\"web_search_requests\":0,\"web_fetch_requests\":0},\"service_tier\":\"standard\",\"cache_creation\":{\"ephemeral_1h_input_tokens\":…\n\n---\n\n## tool_use name mcp__pal input text conversation\n\n--- [issue-41-raw-jsonl] ---\n### {\"type\":\"permission-mode\",\"permissionMode\":\"default\",\"sessionId\":\"b5ee5362-8700-\n\n…essionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\"}\n{\"parentUuid\":null,\"isSidechain\":false,\"attachment\":{\"type\":\"hook_success\",\"hookName\":\"SessionStart:startup\",\"toolUseID\":\"5bbd32f1-a1da-4c40-a9b2-d774b2529958\",\"hookEvent\":\"SessionStart\",\"content\":\"\",\"stdout\":\"{\\\"hookSpecificOutput\\\":{\\\"additionalContext\\\":\\\"\\\\u003ccontext_window_protection\\\\u003e\\\\n \\\\u003cpriority_instructions\\\\u003e\\\\n Raw tool output floods your context window. You MUST use capy\\\\n MCP tools to keep raw data in the sandbox.\\\\n \\\\u003c/priority_instructions\\\\u003e\\\\n\\\\n \\\\u003ctool_selection_hierarchy\\\\u003e\\\\n 1. GATHER: capy_batch_execute(commands, queries)\\\\n - Primary tool for research. Runs all commands, auto-indexes, and sea…\n\n…tion.\\\\n \\\\u003c/forbidden_actions\\\\u003e\\\\n\\\\n \\\\u003coutput_constraints\\\\u003e\\\\n \\\\u003cword_limit\\\\u003eKeep your final response under 500 words.\\\\u003c/word_limit\\\\u003e\\\\n \\\\u003cartifact_policy\\\\u003e\\\\n Write artifacts (code, configs, PRDs) to FILES. NEVER return them as inline text.\\\\n Return only: file path + 1-line description.\\\\n \\\\u003c/artifact_policy\\\\u003e\\\\n \\\\u003cresponse_format\\\\u003e\\\\n Your response must be a concise summary:\\\\n - Actions taken (2-3 bullets)\\\\n - File paths created/modified\\\\n - Knowledge base source labels (so parent can search)\\\\n - Key findings\\\\n \\\\u003c/response_format\\\\u003e\\\\n \\\\u003c/output_constraints\\\\u003e\\\\n\\\\n \\\\u003ccapy_commands\\\\u003e\\\\n When the user sa…\n\n--- [issue-41-raw-jsonl] ---\n### {\"type\":\"file-history-snapshot\",\"messageId\":\"5fccac32-8aef-4d7c-abc9-7bb62c7d9fb\n\n…kedFileBackups\":{},\"timestamp\":\"2026-04-23T18:04:44.249Z\"},\"isSnapshotUpdate\":false}\n{\"parentUuid\":\"1cf22aa0-40f6-4315-b956-06544669c268\",\"isSidechain\":false,\"promptId\":\"146d12f0-3fdd-4c52-b4e4-ddd71e37819a\",\"type\":\"user\",\"message\":{\"role\":\"user\",\"content\":\"1. Format - yes, only the human/assistant conversations. Skip raw tool results, file edits (I guess they're part of tool results). Also need to take care of sessions that didn't have any meaningful inputs, for example a human started claude-code to configre it via `/config` command, and then closed the session; anything related to inner-workings of claude-code basically.\\n2. Ingestion - automatic, offload the burden to a hook that runs on session end. Don't expose the functionality to the mcp …\n\n…g0l+wMUFvWr/tbXT+XgT6Eyq8ATxbh3ws8Dpepcdfia2GZqBzYKBpbxYooSVcFjiXJBJp7qEhSMURcal2Btr5/QKDd461D2Zv5f/tsa9zfOFNu6Sif3YkNmrW7J7Gu8j8qYVf4awBwCWHJ9XGAPwOdZndgJvuNu1yvtiqZdQErMJB+jwRb4Tb4CdyVfhzfdE5+Wo86NP+Zw96X+ymDM5udwTHEqt/uAfqPYtBCXoetoa4//aIVxa6UrLAq+PNG1+0WBEmUGSDwK+nzSg9U8AoGAE=\"}],\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":10,\"cache_creation_input_tokens\":892,\"cache_read_input_tokens\":22887,\"output_tokens\":155,\"server_tool_use\":{\"web_search_requests\":0,\"web_fetch_requests\":0},\"service_tier\":\"standard\",\"cache_creation\":{\"ephemeral_1h_input_tokens\":892,\"ephemeral_5m_input_tokens\":0},\"inference_geo\":\"\",\"iterations\":[],\"speed\":\"standard\"}},\"requestId\":\"req_011CaM9NMBZ1xmLe2yHNc1Ti\",\"type\":…\n\n---\n\n## assistant message tool_use Read file_path input\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"0ac2f7d6-b5e3-490b-a046-9538856bf249\",\"isSidechain\":false,\"attach\n\n…nt\",\"uuid\":\"559718ee-97a8-4750-a6f7-7fd47f07f216\",\"timestamp\":\"2026-04-23T19:36:35.929Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"master\"}\n{\"type\":\"file-history-snapshot\",\"messageId\":\"d95ece34-e2bb-482e-9514-e431b2ba959b\",\"snapshot\":{\"messageId\":\"021f8342-32de-4f12-b510-c2420c60b04f\",\"trackedFileBackups\":{\"docs/wip/sessionflow-rag/design.md\":{\"backupFileName\":null,\"version\":1,\"backupTime\":\"2026-04-23T19:38:15.168Z\"}},\"timestamp\":\"2026-04-23T19:33:15.441Z\"},\"isSnapshotUpdate\":true}\n{\"parentUuid\":\"559718ee-97a8-4750-a6f7-7fd47f07f216\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01WrNfpx5UdE9D9ix6J9pPZi\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"toolu_01XwMKhUTS3RMbAucujPkYMY\",\"name\":\"Write\",\"input\":{\"file_path\":\"/home/sergio/Projects/personal/capy/docs/wip/sessionflow-rag/design.md\",\"content\":\"# Sessionflow RAG — Design Document\\n\\n> **Issue:** [#24](https://github.com/serpro69/capy/issues/24)\\n> **Status:** Draft\\n> **Created:** 2026-04-23\\n\\n## Problem\\n\\nClaude Code stores conversation sessions as JSONL files in `~/.claude/projects/<project-dir-name>/`. These sessions contain valuable decisions, rationale, and context that is lost after conversations end. capy already solves context flooding and provides persistent queryable memory, but only for content explicitly indexed during a session — th…\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"d99a8daf-d162-444b-9d35-67ad6b4c7376\",\"isSidechain\":false,\"messag\n\n{\"parentUuid\":\"d99a8daf-d162-444b-9d35-67ad6b4c7376\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_011CyM1fWmrTgrVkBVrupkAK\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"Now applying all 8 fixes to `design.md`.\"}],\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":1,\"cache_creation_input_tokens\":4805,\"cache_read_input_tokens\":145462,\"output_tokens\":390,\"server_tool_use\":{\"web_search_requests\":0,\"web_fetch_requests\":0},\"service_tier\":\"standard\",\"cache_creation\":{\"ephemeral_1h_input_tokens\":4805,\"ephemeral_5m_input_tokens\":0},\"inference_geo\":\"\",\"iterations\":[],\"speed\":\"standard\"}},\"requestId\":\"req_011CaMJZwCJ3jwNYiCBrnSFL\",\"type\":\"assistant\",\"uuid\":\"5992f210-d9bb-4853-a8ce-e8a347e7a035\",\"timestamp\":\"2026-04-23T20:05:26.451Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"feat/session_rag\"}\n{\"parentUuid\":\"5992f210-d9bb-4853-a8ce-e8a347e7a035\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_011CyM1fWmrTgrVkBVrupkAK\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"toolu_01LALbHFycuCjGkCVJHc3RMk\",\"name\":\"Edit\",\"input\":{\"replace_all\":false,\"file_path\":\"/home/sergio/Projects/personal/capy/docs/wip/sessionflow-rag/design.md\",\"old_string\":\"### Content Type\\n\\nChunks use content type `\\\"session\\\"` — a new value added to the taxonomy alongs…\n\n---\n\n## assistant tool_use Bash command input content\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"4ece8c45-836b-4d41-82f3-f5d5db7d60c6\",\"isSidechain\":false,\"messag\n\n{\"parentUuid\":\"4ece8c45-836b-4d41-82f3-f5d5db7d60c6\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01U1GrmBow4ULC2bdCfdqVPW\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"Important discovery from the bare directories agent: those directories contain **sub-agent conversations**. Each has `subagents/*.jsonl` files with full conversation transcripts (same JSONL schema), plus `*.meta.json` with agent type/description. There's also a rare …\n\n… files, we miss sub-agent work — which is often where detailed research and implementation happens. We'll need to decide whether to include sub-agent conversations. I'll hold that question until all agents report back.\"}],\"stop_reason\":\"end_turn\",\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":10,\"cache_creation_input_tokens\":1400,\"cache_read_input_tokens\":107031,\"output_tokens\":407,\"server_tool_use\":{\"web_search_requests\":0,\"web_fetch_requests\":0},\"service_tier\":\"standard\",\"cache_creation\":{\"ephemeral_1h_input_tokens\":1400,\"ephemeral_5m_input_tokens\":0},\"inference_geo\":\"\",\"iterations\":[],\"speed\":\"standard\"}},\"requestId\":\"req_011CaMEjo6CLwFaiYXSHBGsm\",\"type\":\"assistant\",\"uuid\":\"680bb795-fe13-4231-9882-5c79bedcf5e5\",\"timestamp\":\"2026-04-23T19:15:20.638Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"master\"}\n{\"type\":\"queue-operation\",\"operation\":\"enqueue\",\"timesta…\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"a7f92b9d-d195-408d-a168-7acac0d2e82c\",\"isSidechain\":false,\"messag\n\n{\"parentUuid\":\"a7f92b9d-d195-408d-a168-7acac0d2e82c\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01JRc4pV87sAjm4Q4eNEDWAw\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"toolu_01R4mW5Vn1yFdijcDrLQQj6F\",\"name\":\"Agent\",\"input\":{\"description\":\"Special message types analysis\",\"subagent_type\":\"Explore\",\"prompt\":\"Analyze all NON-user, NON-assistant message types across ALL .jsonl files in both:\\n- ~/.claude/projects/-home-sergio-Projects-personal-capy/\\n- ~/.claude/projects/-home-sergio-Projects-personal-claude-toolbox/\\n\\nWrite a Python script that for each line where type is NOT \\\"user\\\" or \\\"assistant\\\":\\n1. Catalog every type value: attachment, file-history-snapshot, permission-mode, last-prompt, summary, system, etc.\\n2. For each type, show the full JSON structure (keys only, not values) and 1-2 truncated examples\\n3. For \\\"attachment\\\" type specifically: what are the different attach…\n\n…n4. Look for any type that resembles a \\\"compact summary\\\" or \\\"context compaction\\\" marker\\n5. Look for any \\\"system\\\" or \\\"system-reminder\\\" type messages\\n6. Look for any \\\"summary\\\" type that Claude Code creates when compacting context\\n7. Report which of these types carry useful conversational content vs pure metadata\\n\\nBe thorough — process every file, don't sample.\",\"run_in_background\":true},\"caller\":{\"type\":\"direct\"}}],\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":10,\"cache_creation_input_tokens\"…"}],"sourceToolAssistantUUID":"23eb0ee8-2b63-4392-a4bd-f7fb4edb2766","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"b6538dc9-4a22-4e1f-a0df-3a4c08e42318","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LCGZrEbQU9zLqR9CWPthtP","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5180,"cache_read_input_tokens":47592,"output_tokens":246,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":5180,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmCHyLEHdqX2Lm8ZZDW","type":"assistant","uuid":"296c6af6-8b3d-4721-9e88-c6e36e6c2df9","timestamp":"2026-05-07T06:49:27.381Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"296c6af6-8b3d-4721-9e88-c6e36e6c2df9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LCGZrEbQU9zLqR9CWPthtP","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have a solid picture. Let me do a quantitative analysis of the raw session to understand the scale of content loss, and search for the PAL conversation content specifically."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5180,"cache_read_input_tokens":47592,"output_tokens":246,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":5180,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmCHyLEHdqX2Lm8ZZDW","type":"assistant","uuid":"4f200cfe-e85c-4f9c-8c44-5254e49d544f","timestamp":"2026-05-07T06:49:28.708Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"4f200cfe-e85c-4f9c-8c44-5254e49d544f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LCGZrEbQU9zLqR9CWPthtP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VVhRaYWQqJrw8WjBu5e16p","name":"mcp__capy__capy_search","input":{"queries":["mcp__pal__chat input prompt message design review","Agent tool_use input prompt subagent description explore","away_summary system content session recap","Write tool_use input content design document file_path"],"source":"issue-41-raw-jsonl","limit":2},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5180,"cache_read_input_tokens":47592,"output_tokens":246,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":5180,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmCHyLEHdqX2Lm8ZZDW","type":"assistant","uuid":"83dd5ead-303e-42c2-95d6-00a144cdc46e","timestamp":"2026-05-07T06:49:30.556Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"type":"last-prompt","lastPrompt":"Explore this issue I discovered yesterday when comparing an indexed session vs raw jsonl session file : https://github.com/serpro69/capy/issues/41 Perform a thorough analysis of the issue. Then use kk…","leafUuid":"83dd5ead-303e-42c2-95d6-00a144cdc46e","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"ai-title","aiTitle":"Analyze session indexing issue and document RAG design v2","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"permission-mode","permissionMode":"default","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"parentUuid":"83dd5ead-303e-42c2-95d6-00a144cdc46e","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VVhRaYWQqJrw8WjBu5e16p","type":"tool_result","content":[{"type":"text","text":"## mcp__pal__chat input prompt message design review\n\n--- [issue-41-raw-jsonl] ---\n### {\"type\":\"permission-mode\",\"permissionMode\":\"default\",\"sessionId\":\"b5ee5362-8700-\n\n…nt\",\"uuid\":\"426bef14-e812-4daa-bfbf-319cf6337280\",\"timestamp\":\"2026-04-23T17:56:06.201Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"master\"}\n{\"type\":\"file-history-snapshot\",\"messageId\":\"c99dba3d-d256-45fe-ac93-2f45fd2d3179\",\"snapshot\":{\"messageId\":\"c99dba3d-d256-45fe-ac93-2f45fd2d3179\",\"trackedFileBackups\":{},\"timestamp\":\"2026-04-23T17:56:19.875Z\"},\"isSnapshotUpdate\":false}\n{\"parentUuid\":\"426bef14-e812-4daa-bfbf-319cf6337280\",\"isSidechain\":false,\"promptId\":\"649006d1-955a-4239-99a6-3bd76b706313\",\"type\":\"user\",\"message\":{\"role\":\"user\",\"content\":\"Let's chat about this feature https://github.com/serpro69/capy/issues/24\"},\"uuid\":\"c99dba3d-d256-45fe-ac93-2f45fd2d3179\",\"timestamp\":\"2026-04-23T17:56:19.856Z\",\"permissionMode\":\"default\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal…\n\n…mcp__claude_ai_Notion__authenticate\",\"mcp__claude_ai_Notion__complete_authentication\",\"mcp__claude_ai_Slack__authenticate\",\"mcp__claude_ai_Slack__complete_authentication\",\"mcp__context7__query-docs\",\"mcp__context7__resolve-library-id\",\"mcp__pal__analyze\",\"mcp__pal__apilookup\",\"mcp__pal__challenge\",\"mcp__pal__chat\",\"mcp__pal__clink\",\"mcp__pal__codereview\",\"mcp__pal__consensus\",\"mcp__pal__debug\",\"mcp__pal__docgen\",\"mcp__pal__listmodels\",\"mcp__pal__planner\",\"mcp__pal__precommit\",\"mcp__pal__refactor\",\"mcp__pal__secaudit\",\"mcp__pal__testgen\",\"mcp__pal__think…\n\n--- [issue-41-raw-jsonl] ---\n### {\"type\":\"file-history-snapshot\",\"messageId\":\"5fccac32-8aef-4d7c-abc9-7bb62c7d9fb\n\n{\"type\":\"file-history-snapshot\",\"messageId\":\"5fccac32-8aef-4d7c-abc9-7bb62c7d9fbd\",\"snapshot\":{\"messageId\":\"5fccac32-8aef-4d7c-abc9-7bb62c7d9fbd\",\"trackedFileBackups\":{},\"timestamp\":\"2026-04-23T18:04:44.249Z\"},\"isSnapshotUpdate\":false}\n{\"parentUuid\":\"1cf22aa0-40f6-4315-b956-06544669c268\",\"isSidechain\":false,\"promptId\":\"146d12f0-3fdd-4c52-b4e4-ddd71e37819a\",\"type\":\"user\",\"message\":{\"role\":\"user\",\"content\":\"1. Format - yes, only the human/assistant conversations. Skip raw tool results, file edits (I guess they're part of tool results). Also need to take care of sessions that didn't have any meaningful inputs, for example a human started claude-code to configre it via `/config` command, and then closed the session; anything related to inner-workings of claude-code basically.\\n2. Ingestion - automatic, offload the burden to a hook that runs on session end. Don't expose the functionality to the mcp …\n\n…04-23T18:04:44.226Z\",\"permissionMode\":\"default\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"master\"}\n{\"parentUuid\":\"5fccac32-8aef-4d7c-abc9-7bb62c7d9fbd\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01LYPRPjJ3iJvkELwkiszEcX\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"\",\"signature\":\"EugCClkIDRgCKkBe9RuglCVLzUVG9Ha1Fo+ytWA+grC8OZMxzcfxZOIqEa+CFgJiE981+Ig1wOcemQXH056coOwSwXfOnUtOVpNcMg9jbGF1ZGUtb3B1cy00LTY4ABIM…\n\n---\n\n## Agent tool_use input prompt subagent description explore\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"a7f92b9d-d195-408d-a168-7acac0d2e82c\",\"isSidechain\":false,\"messag\n\n{\"parentUuid\":\"a7f92b9d-d195-408d-a168-7acac0d2e82c\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01JRc4pV87sAjm4Q4eNEDWAw\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"toolu_01R4mW5Vn1yFdijcDrLQQj6F\",\"name\":\"Agent\",\"input\":{\"description\":\"Special message types analysis\",\"subagent_type\":\"Explore\",\"prompt\":\"Analyze all NON-user, NON-assistant message types across ALL .jsonl files in both:\\n- ~/.claude/projects/-home-sergio-Projects-personal-capy/\\n- ~/.claude/projects/-home-sergio-Projects-personal-claude-toolbox/\\n\\nWrite a Python script that for each line where type is NOT \\\"user\\\" or \\\"assistant\\\":\\n1. Catalog every type value: attachment, file-history-snapshot, permission-mode, last-prompt, summary, system, etc.\\n2. For each type, show the full JSON structure (keys only, not values) and 1-2 truncated examples\\n3. For \\\"attachment\\\" type specifically: what are the different attachment.type sub-values? (deferred_tools_delta, mcp_instructions_delta, etc.)\\n4. Look for any type tha…\n\n…essages\\n6. Look for any \\\"summary\\\" type that Claude Code creates when compacting context\\n7. Report which of these types carry useful conversational content vs pure metadata\\n\\nBe thorough — process every file, don't sample.\",\"run_in_background\":true},\"caller\":{\"type\":\"direct\"}}],\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":10,\"cache_creation_input_tokens\":3657,\"cache_read_input_tokens\":93843,\"output_tok…\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"4e1278a7-415d-4d8d-a894-a56f19780d0b\",\"isSidechain\":false,\"attach\n\n…NXAbI0uueQ48uqEpXjGm/1eA43u54gerzrfumeJsQrDcwGSqhuy6Eaa5ZvXbNN4zvM1ZCUO//bTEyIbkt9PXBdz0soz8VF8K8YRlYF/cCO5eXy7MZ8mx/EIAg9U7uz6aCSEuMp1/beOZfXYfVH23CJXddeO31nuE5Q7EsIoqrBskWk884R9Z2yHuea84e2KkuH/NMinrNLBm0JnvwwiKz4Cn4k9P+lqagsqLRpSIBzgL5b02zUMUIXmWMY9HKm60fSUNZWSnK0hOhp+Z0TVjtGAE=\"}],\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":10,\"cache_creation_input_tokens\":4173,\"cache_read_input_tokens\":89199,\"output_tokens\":169,\"server_tool_use\":{\"web_search_requests\":0,\"web_fetch_requests\":0},\"service_tier\":\"standard\",\"cache_creation\":{\"ephemeral_1h_input_tokens\":4173,\"ephemeral_5m_input_tokens\":0},\"inference_geo\":\"\",\"iterations\":[],\"speed\":\"standard\"}},\"requestId\":\"req_011CaMEWqfNK4ijtSMseuTDX\",\"type\":\"assistant\",\"uuid\":\"05d2e96b-2201-4401-aa66-8014f728f6b3\",\"timestamp\":\"2026-04-23T19:12:17.003Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/c…\n\n…-aa66-8014f728f6b3\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01USRwSzpsmAAfhVKKszvV3p\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"Good call — let me do a thorough exploration of the actual session formats across both projects.\"}],\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":10,\"cache_creation_input_tokens\":4173,\"cache_read_input_tokens\":89199,\"output_tokens\":169,\"server_tool_use\":{\"web_search_requests\":0,\"web_fetch_requests\":0},\"service_tier\":\"standard\",\"cache_creation\":{\"…\n\n---\n\n## away_summary system content session recap\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"4ece8c45-836b-4d41-82f3-f5d5db7d60c6\",\"isSidechain\":false,\"messag\n\n{\"parentUuid\":\"4ece8c45-836b-4d41-82f3-f5d5db7d60c6\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01U1GrmBow4ULC2bdCfdqVPW\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"Important discovery from the bare directories agent: those directories contain **sub-agent conversations**. Each has `subagents/*.jsonl` files with full conversation transcripts (same JSONL schema), plus `*.meta.json` with agent type/description. There's also a rare …\n\n…tokens\":0},\"inference_geo\":\"\",\"iterations\":[],\"speed\":\"standard\"}},\"requestId\":\"req_011CaMEjo6CLwFaiYXSHBGsm\",\"type\":\"assistant\",\"uuid\":\"680bb795-fe13-4231-9882-5c79bedcf5e5\",\"timestamp\":\"2026-04-23T19:15:20.638Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"master\"}\n{\"type\":\"queue-operation\",\"operation\":\"enqueue\",\"timestamp\":\"2026-04-23T19:15:23.847Z\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"content\":\"<task-notification>\\n<task-id>ad24cff58eef19977</task-id>\\n<tool-use-id>toolu_01RD4eZaK4uHfny7CjWQ1wnP</tool-use-id>\\n<output-file>/tmp/claude-1000/-home-sergio-Projects-personal-capy/b5ee5362-8700-4c9c-8278-51cb58c2e096/tasks/ad24cff58eef19977.output</output-file>\\n<status>completed</stat…\n\n…ve\\\" completed</summary>\\n<result>Script written to `/home/sergio/Projects/personal/capy/analyze_user_messages.py`.\\n\\n---\\n\\nHere is the full taxonomy from 96 files / 3,246 user message…\n\n--- [issue-41-raw-jsonl] ---\n### {\"type\":\"permission-mode\",\"permissionMode\":\"default\",\"sessionId\":\"b5ee5362-8700-\n\n{\"type\":\"permission-mode\",\"permissionMode\":\"default\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\"}\n{\"parentUuid\":\"23aba568-cfde-436d-8ae2-e0d06b2f80e1\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01Vsmug9YHqyqNxJgKz69Twc\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"\",\"signature\":\"EvgYClkIDRgCKkDZ2u5udQ6U6qV7/IOKsz7lBRbc4i7mnV8/LID9Jm+WcDLdA8Ugx8aGtelgxqzoYCPymN74CTwF3rhupyqpHEl8Mg9jbGF1ZGUtb3B1cy00LTY4ABIMmTAYkPRywP7o0FguGgxO8qjpjjzycuqiB+0iMBhy1gAcCZCYM5uEMaoccWt+rmSDFnryOfbrc1d0M9mtHZ/Bjd6zQMVlqkiUZA7eBSrMFy1nBaNWIZV4…\n\n…tokens\":0},\"inference_geo\":\"\",\"iterations\":[],\"speed\":\"standard\"}},\"requestId\":\"req_011CaM9TZjzaUoUVEyKZgNqz\",\"type\":\"assistant\",\"uuid\":\"041eed66-4f43-4a7d-b325-3bdbbf4278db\",\"timestamp\":\"2026-04-23T18:06:14.243Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"master\"}\n{\"parentUuid\":\"041eed66-4f43-4a7d-b325-3bdbbf4278db\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01Vsmug9YHqyqNxJgKz69Twc\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"Good analysis from PAL. Here's my synthesis — where I agree, where I'd push back, and the open decisions.\\n\\n**Chunking — agree with sliding window, but details matter.** 4 turn pairs with 1-pair overlap is a reasonable starting point. Converting to transcript fo…\n\n…n: ...\\\\nAssistant: ...`) before chun…\n\n---\n\n## Write tool_use input content design document file_path\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"1f1767b1-23c3-4319-a420-486ac2edd964\",\"isSidechain\":false,\"attach\n\n{\"parentUuid\":\"1f1767b1-23c3-4319-a420-486ac2edd964\",\"isSidechain\":false,\"attachment\":{\"type\":\"hook_additional_context\",\"content\":[\"<context_guidance>\\n <tip>\\n Read is the right default. Use offset/limit to scope large files.\\n Only reach for capy_execute_file when the file is genuinely large (10k+ lines)\\n AND you want a derived answer (count, stats, extracted pattern), not the content itself.\\n If an Edit will follow, just Read — capy_execute_file beforehand is pure overhead.\\n </tip>\\n</context_guidance>\"],\"hookName\":\"PreToolUse:Read\",\"toolUseID\":\"toolu_012PkNnKnbtT3iT8qSnxBY6p\",\"hookEvent\":\"PreToolUse\"},\"type\":\"attachment\",\"uuid\":\"456eef22-7799-4ea1-b829-70e7f11e5…\n\n…\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"master\"}\n{\"parentUuid\":\"e322c48a-aab8-428d-8b2c-f055e6bf472a\",\"isSidechain\":false,\"promptId\":\"f8adf56b-c833-494e-b3b1-9ec5e17fe566\",\"type\":\"user\",\"message\":{\"role\":\"user\",\"content\":[{\"tool_use_id\":\"toolu_012PkNnKnbtT3iT8qSnxBY6p\",\"type\":\"tool_result\",\"content\":\"1\\t### Workflow\\n2\\t\\n3\\tCopy this checklist and check off items as you complete them:\\n4\\t\\n5\\t```\\n6\\tTask Progress:\\n7\\t- [ ] Step 1: Understand the current state of the project\\n8\\t- [ ] Step 2: Check the documentation\\n9\\t- [ ] Step 3: Help refine the idea/feature\\n10\\t- [ ] Step 4: Describe the design\\n11\\t- [ ] Step 5: Document the design\\n12\\t- [ ] Step 6: Create the task list\\n13\\t```\\n14\\t\\n15\\t**Step 1:…\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"0ac2f7d6-b5e3-490b-a046-9538856bf249\",\"isSidechain\":false,\"attach\n\n{\"parentUuid\":\"0ac2f7d6-b5e3-490b-a046-9538856bf249\",\"isSidechain\":false,\"attachment\":{\"type\":\"task_reminder\",\"content\":[],\"itemCount\":0},\"type\":\"attachment\",\"uuid\":\"559718ee-97a8-4750-a6f7-7fd47f07f216\",\"timestamp\":\"2026-04-23T19:36:35.929Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"master\"}\n{\"type\":\"file-history-snapshot\",\"messageId\":\"d95ece34-e2bb-482e-9514-e431b2ba959b\",\"snapshot\":{\"messageId\":\"021f8342-32de-4f12-b510-c2420c60b04f\",\"trackedFileBackups\":{\"docs/wip/sessionflow-rag/design.md\":{\"backupFileName\":null,\"version\":1,\"backupTime\":\"2026-04-23T19:38:15.168Z\"}},\"timestamp\":\"2026-04-23T19:33:15.441Z\"},\"isSnapshotUpdate\":true}\n{\"parentUuid\":\"559718ee-97a8-4750-a6f7-7fd47f07f216\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01WrNfpx5UdE9D9ix6J9pPZi\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"toolu_01XwMKhUTS3RMbAucujPkYMY\",\"name\":\"Write\",\"input\":{\"file_path\":\"/home/sergio/Projects/personal/capy/docs/wip/sessionflow-rag/design.md\",\"content\":\"# Sessionflow RAG — Design Document\\n\\n> **Issue:** [#24](https://github.com/serpro69/capy/issues/24)\\n> **Status:** Draft\\n> **Created:** 2026-04-23\\n\\n## Problem\\n\\nClaude Code stores conversation sessions as JSONL files in `~/.claude/projects/<project-dir-name>/`. These sessions contain valuable decisions, rationale, and context that is lost after convers…\n\n⚠ search call #3/8 in this window. Results limited to 2/query. Batch queries: search(queries: [\"q1\",\"q2\",\"q3\"]) or use batch_execute."}]}]},"uuid":"50734ae1-e2d0-46e7-a14f-b34c7c9a4bd1","timestamp":"2026-05-07T06:49:30.958Z","toolUseResult":[{"type":"text","text":"## mcp__pal__chat input prompt message design review\n\n--- [issue-41-raw-jsonl] ---\n### {\"type\":\"permission-mode\",\"permissionMode\":\"default\",\"sessionId\":\"b5ee5362-8700-\n\n…nt\",\"uuid\":\"426bef14-e812-4daa-bfbf-319cf6337280\",\"timestamp\":\"2026-04-23T17:56:06.201Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"master\"}\n{\"type\":\"file-history-snapshot\",\"messageId\":\"c99dba3d-d256-45fe-ac93-2f45fd2d3179\",\"snapshot\":{\"messageId\":\"c99dba3d-d256-45fe-ac93-2f45fd2d3179\",\"trackedFileBackups\":{},\"timestamp\":\"2026-04-23T17:56:19.875Z\"},\"isSnapshotUpdate\":false}\n{\"parentUuid\":\"426bef14-e812-4daa-bfbf-319cf6337280\",\"isSidechain\":false,\"promptId\":\"649006d1-955a-4239-99a6-3bd76b706313\",\"type\":\"user\",\"message\":{\"role\":\"user\",\"content\":\"Let's chat about this feature https://github.com/serpro69/capy/issues/24\"},\"uuid\":\"c99dba3d-d256-45fe-ac93-2f45fd2d3179\",\"timestamp\":\"2026-04-23T17:56:19.856Z\",\"permissionMode\":\"default\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal…\n\n…mcp__claude_ai_Notion__authenticate\",\"mcp__claude_ai_Notion__complete_authentication\",\"mcp__claude_ai_Slack__authenticate\",\"mcp__claude_ai_Slack__complete_authentication\",\"mcp__context7__query-docs\",\"mcp__context7__resolve-library-id\",\"mcp__pal__analyze\",\"mcp__pal__apilookup\",\"mcp__pal__challenge\",\"mcp__pal__chat\",\"mcp__pal__clink\",\"mcp__pal__codereview\",\"mcp__pal__consensus\",\"mcp__pal__debug\",\"mcp__pal__docgen\",\"mcp__pal__listmodels\",\"mcp__pal__planner\",\"mcp__pal__precommit\",\"mcp__pal__refactor\",\"mcp__pal__secaudit\",\"mcp__pal__testgen\",\"mcp__pal__think…\n\n--- [issue-41-raw-jsonl] ---\n### {\"type\":\"file-history-snapshot\",\"messageId\":\"5fccac32-8aef-4d7c-abc9-7bb62c7d9fb\n\n{\"type\":\"file-history-snapshot\",\"messageId\":\"5fccac32-8aef-4d7c-abc9-7bb62c7d9fbd\",\"snapshot\":{\"messageId\":\"5fccac32-8aef-4d7c-abc9-7bb62c7d9fbd\",\"trackedFileBackups\":{},\"timestamp\":\"2026-04-23T18:04:44.249Z\"},\"isSnapshotUpdate\":false}\n{\"parentUuid\":\"1cf22aa0-40f6-4315-b956-06544669c268\",\"isSidechain\":false,\"promptId\":\"146d12f0-3fdd-4c52-b4e4-ddd71e37819a\",\"type\":\"user\",\"message\":{\"role\":\"user\",\"content\":\"1. Format - yes, only the human/assistant conversations. Skip raw tool results, file edits (I guess they're part of tool results). Also need to take care of sessions that didn't have any meaningful inputs, for example a human started claude-code to configre it via `/config` command, and then closed the session; anything related to inner-workings of claude-code basically.\\n2. Ingestion - automatic, offload the burden to a hook that runs on session end. Don't expose the functionality to the mcp …\n\n…04-23T18:04:44.226Z\",\"permissionMode\":\"default\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"master\"}\n{\"parentUuid\":\"5fccac32-8aef-4d7c-abc9-7bb62c7d9fbd\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01LYPRPjJ3iJvkELwkiszEcX\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"\",\"signature\":\"EugCClkIDRgCKkBe9RuglCVLzUVG9Ha1Fo+ytWA+grC8OZMxzcfxZOIqEa+CFgJiE981+Ig1wOcemQXH056coOwSwXfOnUtOVpNcMg9jbGF1ZGUtb3B1cy00LTY4ABIM…\n\n---\n\n## Agent tool_use input prompt subagent description explore\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"a7f92b9d-d195-408d-a168-7acac0d2e82c\",\"isSidechain\":false,\"messag\n\n{\"parentUuid\":\"a7f92b9d-d195-408d-a168-7acac0d2e82c\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01JRc4pV87sAjm4Q4eNEDWAw\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"toolu_01R4mW5Vn1yFdijcDrLQQj6F\",\"name\":\"Agent\",\"input\":{\"description\":\"Special message types analysis\",\"subagent_type\":\"Explore\",\"prompt\":\"Analyze all NON-user, NON-assistant message types across ALL .jsonl files in both:\\n- ~/.claude/projects/-home-sergio-Projects-personal-capy/\\n- ~/.claude/projects/-home-sergio-Projects-personal-claude-toolbox/\\n\\nWrite a Python script that for each line where type is NOT \\\"user\\\" or \\\"assistant\\\":\\n1. Catalog every type value: attachment, file-history-snapshot, permission-mode, last-prompt, summary, system, etc.\\n2. For each type, show the full JSON structure (keys only, not values) and 1-2 truncated examples\\n3. For \\\"attachment\\\" type specifically: what are the different attachment.type sub-values? (deferred_tools_delta, mcp_instructions_delta, etc.)\\n4. Look for any type tha…\n\n…essages\\n6. Look for any \\\"summary\\\" type that Claude Code creates when compacting context\\n7. Report which of these types carry useful conversational content vs pure metadata\\n\\nBe thorough — process every file, don't sample.\",\"run_in_background\":true},\"caller\":{\"type\":\"direct\"}}],\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":10,\"cache_creation_input_tokens\":3657,\"cache_read_input_tokens\":93843,\"output_tok…\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"4e1278a7-415d-4d8d-a894-a56f19780d0b\",\"isSidechain\":false,\"attach\n\n…NXAbI0uueQ48uqEpXjGm/1eA43u54gerzrfumeJsQrDcwGSqhuy6Eaa5ZvXbNN4zvM1ZCUO//bTEyIbkt9PXBdz0soz8VF8K8YRlYF/cCO5eXy7MZ8mx/EIAg9U7uz6aCSEuMp1/beOZfXYfVH23CJXddeO31nuE5Q7EsIoqrBskWk884R9Z2yHuea84e2KkuH/NMinrNLBm0JnvwwiKz4Cn4k9P+lqagsqLRpSIBzgL5b02zUMUIXmWMY9HKm60fSUNZWSnK0hOhp+Z0TVjtGAE=\"}],\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":10,\"cache_creation_input_tokens\":4173,\"cache_read_input_tokens\":89199,\"output_tokens\":169,\"server_tool_use\":{\"web_search_requests\":0,\"web_fetch_requests\":0},\"service_tier\":\"standard\",\"cache_creation\":{\"ephemeral_1h_input_tokens\":4173,\"ephemeral_5m_input_tokens\":0},\"inference_geo\":\"\",\"iterations\":[],\"speed\":\"standard\"}},\"requestId\":\"req_011CaMEWqfNK4ijtSMseuTDX\",\"type\":\"assistant\",\"uuid\":\"05d2e96b-2201-4401-aa66-8014f728f6b3\",\"timestamp\":\"2026-04-23T19:12:17.003Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/c…\n\n…-aa66-8014f728f6b3\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01USRwSzpsmAAfhVKKszvV3p\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"Good call — let me do a thorough exploration of the actual session formats across both projects.\"}],\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":10,\"cache_creation_input_tokens\":4173,\"cache_read_input_tokens\":89199,\"output_tokens\":169,\"server_tool_use\":{\"web_search_requests\":0,\"web_fetch_requests\":0},\"service_tier\":\"standard\",\"cache_creation\":{\"…\n\n---\n\n## away_summary system content session recap\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"4ece8c45-836b-4d41-82f3-f5d5db7d60c6\",\"isSidechain\":false,\"messag\n\n{\"parentUuid\":\"4ece8c45-836b-4d41-82f3-f5d5db7d60c6\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01U1GrmBow4ULC2bdCfdqVPW\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"Important discovery from the bare directories agent: those directories contain **sub-agent conversations**. Each has `subagents/*.jsonl` files with full conversation transcripts (same JSONL schema), plus `*.meta.json` with agent type/description. There's also a rare …\n\n…tokens\":0},\"inference_geo\":\"\",\"iterations\":[],\"speed\":\"standard\"}},\"requestId\":\"req_011CaMEjo6CLwFaiYXSHBGsm\",\"type\":\"assistant\",\"uuid\":\"680bb795-fe13-4231-9882-5c79bedcf5e5\",\"timestamp\":\"2026-04-23T19:15:20.638Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"master\"}\n{\"type\":\"queue-operation\",\"operation\":\"enqueue\",\"timestamp\":\"2026-04-23T19:15:23.847Z\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"content\":\"<task-notification>\\n<task-id>ad24cff58eef19977</task-id>\\n<tool-use-id>toolu_01RD4eZaK4uHfny7CjWQ1wnP</tool-use-id>\\n<output-file>/tmp/claude-1000/-home-sergio-Projects-personal-capy/b5ee5362-8700-4c9c-8278-51cb58c2e096/tasks/ad24cff58eef19977.output</output-file>\\n<status>completed</stat…\n\n…ve\\\" completed</summary>\\n<result>Script written to `/home/sergio/Projects/personal/capy/analyze_user_messages.py`.\\n\\n---\\n\\nHere is the full taxonomy from 96 files / 3,246 user message…\n\n--- [issue-41-raw-jsonl] ---\n### {\"type\":\"permission-mode\",\"permissionMode\":\"default\",\"sessionId\":\"b5ee5362-8700-\n\n{\"type\":\"permission-mode\",\"permissionMode\":\"default\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\"}\n{\"parentUuid\":\"23aba568-cfde-436d-8ae2-e0d06b2f80e1\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01Vsmug9YHqyqNxJgKz69Twc\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"\",\"signature\":\"EvgYClkIDRgCKkDZ2u5udQ6U6qV7/IOKsz7lBRbc4i7mnV8/LID9Jm+WcDLdA8Ugx8aGtelgxqzoYCPymN74CTwF3rhupyqpHEl8Mg9jbGF1ZGUtb3B1cy00LTY4ABIMmTAYkPRywP7o0FguGgxO8qjpjjzycuqiB+0iMBhy1gAcCZCYM5uEMaoccWt+rmSDFnryOfbrc1d0M9mtHZ/Bjd6zQMVlqkiUZA7eBSrMFy1nBaNWIZV4…\n\n…tokens\":0},\"inference_geo\":\"\",\"iterations\":[],\"speed\":\"standard\"}},\"requestId\":\"req_011CaM9TZjzaUoUVEyKZgNqz\",\"type\":\"assistant\",\"uuid\":\"041eed66-4f43-4a7d-b325-3bdbbf4278db\",\"timestamp\":\"2026-04-23T18:06:14.243Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"master\"}\n{\"parentUuid\":\"041eed66-4f43-4a7d-b325-3bdbbf4278db\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01Vsmug9YHqyqNxJgKz69Twc\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"Good analysis from PAL. Here's my synthesis — where I agree, where I'd push back, and the open decisions.\\n\\n**Chunking — agree with sliding window, but details matter.** 4 turn pairs with 1-pair overlap is a reasonable starting point. Converting to transcript fo…\n\n…n: ...\\\\nAssistant: ...`) before chun…\n\n---\n\n## Write tool_use input content design document file_path\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"1f1767b1-23c3-4319-a420-486ac2edd964\",\"isSidechain\":false,\"attach\n\n{\"parentUuid\":\"1f1767b1-23c3-4319-a420-486ac2edd964\",\"isSidechain\":false,\"attachment\":{\"type\":\"hook_additional_context\",\"content\":[\"<context_guidance>\\n <tip>\\n Read is the right default. Use offset/limit to scope large files.\\n Only reach for capy_execute_file when the file is genuinely large (10k+ lines)\\n AND you want a derived answer (count, stats, extracted pattern), not the content itself.\\n If an Edit will follow, just Read — capy_execute_file beforehand is pure overhead.\\n </tip>\\n</context_guidance>\"],\"hookName\":\"PreToolUse:Read\",\"toolUseID\":\"toolu_012PkNnKnbtT3iT8qSnxBY6p\",\"hookEvent\":\"PreToolUse\"},\"type\":\"attachment\",\"uuid\":\"456eef22-7799-4ea1-b829-70e7f11e5…\n\n…\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"master\"}\n{\"parentUuid\":\"e322c48a-aab8-428d-8b2c-f055e6bf472a\",\"isSidechain\":false,\"promptId\":\"f8adf56b-c833-494e-b3b1-9ec5e17fe566\",\"type\":\"user\",\"message\":{\"role\":\"user\",\"content\":[{\"tool_use_id\":\"toolu_012PkNnKnbtT3iT8qSnxBY6p\",\"type\":\"tool_result\",\"content\":\"1\\t### Workflow\\n2\\t\\n3\\tCopy this checklist and check off items as you complete them:\\n4\\t\\n5\\t```\\n6\\tTask Progress:\\n7\\t- [ ] Step 1: Understand the current state of the project\\n8\\t- [ ] Step 2: Check the documentation\\n9\\t- [ ] Step 3: Help refine the idea/feature\\n10\\t- [ ] Step 4: Describe the design\\n11\\t- [ ] Step 5: Document the design\\n12\\t- [ ] Step 6: Create the task list\\n13\\t```\\n14\\t\\n15\\t**Step 1:…\n\n--- [issue-41-raw-jsonl] ---\n### {\"parentUuid\":\"0ac2f7d6-b5e3-490b-a046-9538856bf249\",\"isSidechain\":false,\"attach\n\n{\"parentUuid\":\"0ac2f7d6-b5e3-490b-a046-9538856bf249\",\"isSidechain\":false,\"attachment\":{\"type\":\"task_reminder\",\"content\":[],\"itemCount\":0},\"type\":\"attachment\",\"uuid\":\"559718ee-97a8-4750-a6f7-7fd47f07f216\",\"timestamp\":\"2026-04-23T19:36:35.929Z\",\"userType\":\"external\",\"entrypoint\":\"cli\",\"cwd\":\"/home/sergio/Projects/personal/capy\",\"sessionId\":\"b5ee5362-8700-4c9c-8278-51cb58c2e096\",\"version\":\"2.1.116\",\"gitBranch\":\"master\"}\n{\"type\":\"file-history-snapshot\",\"messageId\":\"d95ece34-e2bb-482e-9514-e431b2ba959b\",\"snapshot\":{\"messageId\":\"021f8342-32de-4f12-b510-c2420c60b04f\",\"trackedFileBackups\":{\"docs/wip/sessionflow-rag/design.md\":{\"backupFileName\":null,\"version\":1,\"backupTime\":\"2026-04-23T19:38:15.168Z\"}},\"timestamp\":\"2026-04-23T19:33:15.441Z\"},\"isSnapshotUpdate\":true}\n{\"parentUuid\":\"559718ee-97a8-4750-a6f7-7fd47f07f216\",\"isSidechain\":false,\"message\":{\"model\":\"claude-opus-4-6\",\"id\":\"msg_01WrNfpx5UdE9D9ix6J9pPZi\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"toolu_01XwMKhUTS3RMbAucujPkYMY\",\"name\":\"Write\",\"input\":{\"file_path\":\"/home/sergio/Projects/personal/capy/docs/wip/sessionflow-rag/design.md\",\"content\":\"# Sessionflow RAG — Design Document\\n\\n> **Issue:** [#24](https://github.com/serpro69/capy/issues/24)\\n> **Status:** Draft\\n> **Created:** 2026-04-23\\n\\n## Problem\\n\\nClaude Code stores conversation sessions as JSONL files in `~/.claude/projects/<project-dir-name>/`. These sessions contain valuable decisions, rationale, and context that is lost after convers…\n\n⚠ search call #3/8 in this window. Results limited to 2/query. Batch queries: search(queries: [\"q1\",\"q2\",\"q3\"]) or use batch_execute."}],"sourceToolAssistantUUID":"83dd5ead-303e-42c2-95d6-00a144cdc46e","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"50734ae1-e2d0-46e7-a14f-b34c7c9a4bd1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011JowXGrNmeRBJqRD5AoW1N","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5600,"cache_read_input_tokens":52772,"output_tokens":231,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":5600,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmCnWKMHvDzEdjZCNgt","type":"assistant","uuid":"819a666a-f0e1-40cf-9d8c-5c6934bf0e4d","timestamp":"2026-05-07T06:49:34.261Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"819a666a-f0e1-40cf-9d8c-5c6934bf0e4d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011JowXGrNmeRBJqRD5AoW1N","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check what the indexed session actually looks like vs the raw data."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5600,"cache_read_input_tokens":52772,"output_tokens":231,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":5600,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmCnWKMHvDzEdjZCNgt","type":"assistant","uuid":"f6c27628-ae76-4f6e-bc94-34ba001d5e79","timestamp":"2026-05-07T06:49:35.363Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"type":"last-prompt","lastPrompt":"Explore this issue I discovered yesterday when comparing an indexed session vs raw jsonl session file : https://github.com/serpro69/capy/issues/41 Perform a thorough analysis of the issue. Then use kk…","leafUuid":"b48979d9-ce0b-4ff3-8032-77204185bc56","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"ai-title","aiTitle":"Analyze session indexing issue and document RAG design v2","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
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{"parentUuid":"b48979d9-ce0b-4ff3-8032-77204185bc56","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PcNnmfpCVFrnuhEjtBevU4","type":"tool_result","content":[{"type":"text","text":"## sessionflow RAG design decisions\n\n--- [session:2026-04-23T17:56:19Z:b5ee5362-8700-4c9c-8278-51cb58c2e096] ---\n### Session 2026-04-23T17:56:19Z | Turns 4-7 | Tools: mcp__pal__chat, Read, Bash\n\n\n## Conventions\n\n\n\nRead capy knowledge base conventions at [shared-capy-knowledge-protocol.md](shared-capy-knowledge-protocol.md).\n\nProfile detection is delegated to [shared-profile-detection.md](shared-profile-detection.md). When an active profile contributes a `design/` subdirectory (e.g., `/home/sergio/.claude/plugins/cache/claude-toolbox/kk/0.10.0-rc.6/profiles/k8s/design/`), its `questions.md` feeds the idea-refinement question pool and its `sections.md` lists required sections the design document must cover. Both the idea-to-design and continue-WIP flows consult the shared procedure; see each flow's workflow file for the specific integration points.\n\n## Ideas and Prototypes\n\n_Use this for ideas that are not fully thought out and do not have a fully-formed design/specification and/or implementation-plan._\n\n**For example:** I've got an idea I want to talk through with you before we proceed with the implementation.\n\n**Your job:** Help me turn it into a fully formed design, spec, implementation plan, and task list.\n\nSee [idea-process.md](./idea-process.md).\n\n## Continue WIP Feature\n\n_Use this to resume work on a feature that already has design docs and a task list in `/docs/wip/`._\n\n**For example:** Let's continue working on the auth system.\n\n**Your job:** Review the current state of the feature, understand what's been done and what's next, then proceed with implementation.\n\nSee [existing-task-process.md](./existing-task-process.md).\n\nARGUMENTS: Sessionflow RAG (GitHub issu…\n\n---\n\n## session sweep chunking tool names\n\n--- [session:2026-04-23T17:56:19Z:b5ee5362-8700-4c9c-8278-51cb58c2e096] ---\n### Session 2026-04-23T17:56:19Z | Turns 4-7 | Tools: mcp__pal__chat, Read, Bash\n\n…ge base conventions at [shared-capy-knowledge-protocol.md](shared-capy-knowledge-protocol.md).\n\nProfile detection is delegated to [shared-profile-detection.md](shared-profile-detection.md). When an active profile contributes a `design/` subdirectory (e.g., `/home/sergio/.claude/plugins/cache/claude-toolbox/kk/0.10.0-rc.6/profiles/k8s/design/`), its `questions.md` feeds the idea-refinement question pool and its `sections.md` lists required sections the design document must cover. Both the idea-to-design and continue-WIP flows consult the shared procedure; see each flow's workflow file for the s…\n\n… a task list in `/docs/wip/`._\n\n**For example:** Let's continue working on the auth system.\n\n**Your job:** Review the current state of the feature, understand what's been done and what's next, then proceed with implementation.\n\nSee [existing-task-process.md](./existing-task-process.md).\n\nARGUMENTS: Sessionflow RAG (GitHub issue #24) — index Claude Code session transcripts into capy's FTS5 knowledge base for on-demand historical search.\n\n## Context\n\ncapy is an MCP server / Claude Code plugin that indexes tool outputs into SQLite FTS5 with BM25 search. Sessions in `~/.claude/projects/<project-hash>/` contain valuable decisions and rationale that are lost after conversations end.\n\n## Finalized Design Decisions\n\n1. **New `KindSession`** — dedicated source kind with time-based TTL (30-60 days), bypasses the durable retention scoring system entirely. Adapt `cleanupEphemeral` to accept per-\n\n---\n\n## sub-agent conversation exploration\n\n--- [session:2026-04-23T17:56:19Z:b5ee5362-8700-4c9c-8278-51cb58c2e096] ---\n### Session 2026-04-23T17:56:19Z | Turns 19-22 | Tools: Bash\n\n\n**Key corrections to our earlier assumptions:**\n\n\n\n1. **Thinking blocks are useless** — content is stripped, only base64 signature remains\n2. **No slash commands in stored JSONL** — `/` filter is defensive only\n3. **Compaction has no dedicated type** — `system/away_summary` is closest, plus 2 sessions had \"compacted\" in user entries\n4. **Sub-agent conversations** exist in `<uuid>/subagents/*.jsonl` — same schema, parseable\n5. **25 of 96 sessions are resumed** (>2 permission-mode entries) — our mtime gate + full re-index handles this\n6. **Always exactly 1 tool_use per assistant message** — extraction is trivial\n\nAlso, some agents left temp scripts in the project directory — I'll clean those up after we finish the design.\n\nNow, one new question from the bare directories finding: **should we index sub-agent conversations?** Sub-agents do research, exploration, and implementation work. That's high-value content. But it adds complexity (recursing into directories, handling `isSidechain: true`). I'd include them in the parent session's source — same label, additional turns appended to the transcript. Thoughts?\n\n⚠ search call #4/8 in this window. Results limited to 1/query. Batch queries: search(queries: [\"q1\",\"q2\",\"q3\"]) or use batch_execute."}]}]},"uuid":"74d23834-b318-4fcc-bf9f-af59230c5bfb","timestamp":"2026-05-07T06:49:37.094Z","toolUseResult":[{"type":"text","text":"## sessionflow RAG design decisions\n\n--- [session:2026-04-23T17:56:19Z:b5ee5362-8700-4c9c-8278-51cb58c2e096] ---\n### Session 2026-04-23T17:56:19Z | Turns 4-7 | Tools: mcp__pal__chat, Read, Bash\n\n\n## Conventions\n\n\n\nRead capy knowledge base conventions at [shared-capy-knowledge-protocol.md](shared-capy-knowledge-protocol.md).\n\nProfile detection is delegated to [shared-profile-detection.md](shared-profile-detection.md). When an active profile contributes a `design/` subdirectory (e.g., `/home/sergio/.claude/plugins/cache/claude-toolbox/kk/0.10.0-rc.6/profiles/k8s/design/`), its `questions.md` feeds the idea-refinement question pool and its `sections.md` lists required sections the design document must cover. Both the idea-to-design and continue-WIP flows consult the shared procedure; see each flow's workflow file for the specific integration points.\n\n## Ideas and Prototypes\n\n_Use this for ideas that are not fully thought out and do not have a fully-formed design/specification and/or implementation-plan._\n\n**For example:** I've got an idea I want to talk through with you before we proceed with the implementation.\n\n**Your job:** Help me turn it into a fully formed design, spec, implementation plan, and task list.\n\nSee [idea-process.md](./idea-process.md).\n\n## Continue WIP Feature\n\n_Use this to resume work on a feature that already has design docs and a task list in `/docs/wip/`._\n\n**For example:** Let's continue working on the auth system.\n\n**Your job:** Review the current state of the feature, understand what's been done and what's next, then proceed with implementation.\n\nSee [existing-task-process.md](./existing-task-process.md).\n\nARGUMENTS: Sessionflow RAG (GitHub issu…\n\n---\n\n## session sweep chunking tool names\n\n--- [session:2026-04-23T17:56:19Z:b5ee5362-8700-4c9c-8278-51cb58c2e096] ---\n### Session 2026-04-23T17:56:19Z | Turns 4-7 | Tools: mcp__pal__chat, Read, Bash\n\n…ge base conventions at [shared-capy-knowledge-protocol.md](shared-capy-knowledge-protocol.md).\n\nProfile detection is delegated to [shared-profile-detection.md](shared-profile-detection.md). When an active profile contributes a `design/` subdirectory (e.g., `/home/sergio/.claude/plugins/cache/claude-toolbox/kk/0.10.0-rc.6/profiles/k8s/design/`), its `questions.md` feeds the idea-refinement question pool and its `sections.md` lists required sections the design document must cover. Both the idea-to-design and continue-WIP flows consult the shared procedure; see each flow's workflow file for the s…\n\n… a task list in `/docs/wip/`._\n\n**For example:** Let's continue working on the auth system.\n\n**Your job:** Review the current state of the feature, understand what's been done and what's next, then proceed with implementation.\n\nSee [existing-task-process.md](./existing-task-process.md).\n\nARGUMENTS: Sessionflow RAG (GitHub issue #24) — index Claude Code session transcripts into capy's FTS5 knowledge base for on-demand historical search.\n\n## Context\n\ncapy is an MCP server / Claude Code plugin that indexes tool outputs into SQLite FTS5 with BM25 search. Sessions in `~/.claude/projects/<project-hash>/` contain valuable decisions and rationale that are lost after conversations end.\n\n## Finalized Design Decisions\n\n1. **New `KindSession`** — dedicated source kind with time-based TTL (30-60 days), bypasses the durable retention scoring system entirely. Adapt `cleanupEphemeral` to accept per-\n\n---\n\n## sub-agent conversation exploration\n\n--- [session:2026-04-23T17:56:19Z:b5ee5362-8700-4c9c-8278-51cb58c2e096] ---\n### Session 2026-04-23T17:56:19Z | Turns 19-22 | Tools: Bash\n\n\n**Key corrections to our earlier assumptions:**\n\n\n\n1. **Thinking blocks are useless** — content is stripped, only base64 signature remains\n2. **No slash commands in stored JSONL** — `/` filter is defensive only\n3. **Compaction has no dedicated type** — `system/away_summary` is closest, plus 2 sessions had \"compacted\" in user entries\n4. **Sub-agent conversations** exist in `<uuid>/subagents/*.jsonl` — same schema, parseable\n5. **25 of 96 sessions are resumed** (>2 permission-mode entries) — our mtime gate + full re-index handles this\n6. **Always exactly 1 tool_use per assistant message** — extraction is trivial\n\nAlso, some agents left temp scripts in the project directory — I'll clean those up after we finish the design.\n\nNow, one new question from the bare directories finding: **should we index sub-agent conversations?** Sub-agents do research, exploration, and implementation work. That's high-value content. But it adds complexity (recursing into directories, handling `isSidechain: true`). I'd include them in the parent session's source — same label, additional turns appended to the transcript. Thoughts?\n\n⚠ search call #4/8 in this window. Results limited to 1/query. Batch queries: search(queries: [\"q1\",\"q2\",\"q3\"]) or use batch_execute."}],"sourceToolAssistantUUID":"b48979d9-ce0b-4ff3-8032-77204185bc56","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"74d23834-b318-4fcc-bf9f-af59230c5bfb","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018mFjLjbduT8N3B3DJKaKJS","type":"message","role":"assistant","content":[{"type":"text","text":"Excellent. Now I have a complete picture of the problem. The indexed session captures the design discussion text but completely loses:\n1. The exploration phase (Read/Bash tool calls with no text)\n2. PAL review conversations (tool input content dropped)\n3. Agent prompts (the actual delegation instructions)\n4. Write/Edit operations (the code being written)\n\nLet me also quickly check the existing `.sessions` file and the current parse.go for a few key details before starting design."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1637,"cache_read_input_tokens":58372,"output_tokens":238,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1637,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmDEqqgiQkkknuVU6TY","type":"assistant","uuid":"58c026fc-68d0-47ea-af3d-6f60f66f24be","timestamp":"2026-05-07T06:49:43.159Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"58c026fc-68d0-47ea-af3d-6f60f66f24be","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018mFjLjbduT8N3B3DJKaKJS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019Dmoub3TQjHiKQSFtDcAhD","name":"Read","input":{"file_path":"/Users/sergio/Projects/personal/capy/docs/wip/sessionflow-rag/.sessions"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1637,"cache_read_input_tokens":58372,"output_tokens":238,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1637,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmDEqqgiQkkknuVU6TY","type":"assistant","uuid":"0709a6a7-6835-4618-a6bb-14361a79db46","timestamp":"2026-05-07T06:49:44.546Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"0709a6a7-6835-4618-a6bb-14361a79db46","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018mFjLjbduT8N3B3DJKaKJS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ESwHqnGQvVD3Tg8pXkpyUR","name":"Read","input":{"file_path":"/Users/sergio/Projects/personal/capy/internal/session/parse.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1637,"cache_read_input_tokens":58372,"output_tokens":238,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1637,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmDEqqgiQkkknuVU6TY","type":"assistant","uuid":"dd3ef1c0-c50e-4443-8069-1a3c70f2f6ba","timestamp":"2026-05-07T06:49:45.042Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"0709a6a7-6835-4618-a6bb-14361a79db46","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"EISDIR: illegal operation on a directory, read '/Users/sergio/Projects/personal/capy/docs/wip/sessionflow-rag/.sessions'","is_error":true,"tool_use_id":"toolu_019Dmoub3TQjHiKQSFtDcAhD"}]},"uuid":"13dbf527-09dc-4e20-b6a8-4a3547110c67","timestamp":"2026-05-07T06:49:45.130Z","toolUseResult":"Error: EISDIR: illegal operation on a directory, read '/Users/sergio/Projects/personal/capy/docs/wip/sessionflow-rag/.sessions'","sourceToolAssistantUUID":"0709a6a7-6835-4618-a6bb-14361a79db46","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"dd3ef1c0-c50e-4443-8069-1a3c70f2f6ba","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ESwHqnGQvVD3Tg8pXkpyUR","type":"tool_result","content":"1\tpackage session\n2\t\n3\timport (\n4\t\t\"bufio\"\n5\t\t\"encoding/json\"\n6\t\t\"fmt\"\n7\t\t\"log/slog\"\n8\t\t\"os\"\n9\t\t\"path/filepath\"\n10\t\t\"regexp\"\n11\t\t\"strings\"\n12\t\t\"time\"\n13\t)\n14\t\n15\t// ParsedSession holds the filtered, structured content of a Claude Code session.\n16\ttype ParsedSession struct {\n17\t\tSessionID string\n18\t\tStartTime time.Time\n19\t\tTurnPairs []TurnPair\n20\t\tTotalAssistantChars int\n21\t}\n22\t\n23\t// TurnPair is one human→assistant exchange, optionally with tool usage metadata.\n24\ttype TurnPair struct {\n25\t\tHumanText string\n26\t\tAssistantText string\n27\t\tToolNames []string\n28\t\tIsSubagent bool\n29\t\tSubagentType string\n30\t\tSubagentDesc string\n31\t}\n32\t\n33\t// IsIndexable returns true if the session has enough content to be worth indexing.\n34\t// Requires at least 2 non-subagent turn pairs and 200+ chars of assistant text.\n35\tfunc (s *ParsedSession) IsIndexable() bool {\n36\t\tmainPairs := 0\n37\t\tfor _, tp := range s.TurnPairs {\n38\t\t\tif !tp.IsSubagent {\n39\t\t\t\tmainPairs++\n40\t\t\t}\n41\t\t}\n42\t\treturn mainPairs >= 2 && s.TotalAssistantChars >= 200\n43\t}\n44\t\n45\tvar (\n46\t\tsysReminderRe = regexp.MustCompile(`(?s)<system-reminder>.*?</system-reminder>`)\n47\t\tnoiseTagRe = regexp.MustCompile(`(?s)<local-command-caveat>.*?</local-command-caveat>|<local-command-stdout>.*?</local-command-stdout>|<command-name>.*?</command-name>|<command-message>.*?</command-message>|<command-args>.*?</command-args>`)\n48\t)\n49\t\n50\t// jsonlLine is the top-level structure of each JSONL entry.\n51\ttype jsonlLine struct {\n52\t\tType string `json:\"type\"`\n53\t\tSubtype string `json:\"subtype\"`\n54\t\tUUID string `json:\"uuid\"`\n55\t\tTimestamp string `json:\"timestamp\"`\n56\t\tSessionID string `json:\"sessionId\"`\n57\t\tContent string `json:\"content\"`\n58\t\tMessage json.RawMessage `json:\"message\"`\n59\t}\n60\t\n61\t// jsonlMessage is the nested message object within user/assistant entries.\n62\ttype jsonlMessage struct {\n63\t\tID string `json:\"id\"`\n64\t\tRole string `json:\"role\"`\n65\t\tContent json.RawMessage `json:\"content\"`\n66\t}\n67\t\n68\t// contentBlock represents a single block within message.content arrays.\n69\ttype contentBlock struct {\n70\t\tType string `json:\"type\"`\n71\t\tText string `json:\"text\"`\n72\t\tName string `json:\"name\"`\n73\t\tID string `json:\"id\"`\n74\t}\n75\t\n76\t// parsedMessage is an intermediate representation after JSONL deduplication.\n77\ttype parsedMessage struct {\n78\t\tlineType string // \"user\", \"assistant\", \"away_summary\"\n79\t\ttimestamp time.Time\n80\t\tsessionID string\n81\t\ttext string // extracted human/assistant text\n82\t\ttoolNames []string // tool_use names (assistant only)\n83\t}\n84\t\n85\t// ParseSession reads a Claude Code session JSONL file and returns structured\n86\t// content with noise filtered out. Malformed lines are logged and skipped.\n87\tfunc ParseSession(path string) (*ParsedSession, error) {\n88\t\tf, err := os.Open(path)\n89\t\tif err != nil {\n90\t\t\treturn nil, fmt.Errorf(\"opening session file: %w\", err)\n91\t\t}\n92\t\tdefer f.Close()\n93\t\n94\t\tsessionID := strings.TrimSuffix(filepath.Base(path), \".jsonl\")\n95\t\n96\t\t// First pass: parse all lines and merge assistant progressive snapshots\n97\t\t// by message.id. Claude Code writes one content block per JSONL line\n98\t\t// (non-cumulative), so we collect all blocks sharing the same message.id.\n99\t\ttype rawEntry struct {\n100\t\t\tline jsonlLine\n101\t\t\tmsgID string // message.id for assistant merge; uuid for others\n102\t\t\trawMsg jsonlMessage\n103\t\t\thasMsgP bool // whether Message field was present and parsed\n104\t\t\tmergedBlocks []contentBlock // accumulated blocks from all progressive snapshots\n105\t\t}\n106\t\n107\t\tvar entries []rawEntry\n108\t\tassistantLastIdx := make(map[string]int) // message.id → index in entries\n109\t\n110\t\tscanner := bufio.NewScanner(f)\n111\t\tscanner.Buffer(make([]byte, 0, 256*1024), 16*1024*1024)\n112\t\tlineNum := 0\n113\t\tfor scanner.Scan() {\n114\t\t\tlineNum++\n115\t\t\tdata := scanner.Bytes()\n116\t\t\tif len(data) == 0 {\n117\t\t\t\tcontinue\n118\t\t\t}\n119\t\n120\t\t\tvar line jsonlLine\n121\t\t\tif err := json.Unmarshal(data, &line); err != nil {\n122\t\t\t\tslog.Warn(\"skipping malformed JSONL line\", \"file\", path, \"line\", lineNum, \"error\", err)\n123\t\t\t\tcontinue\n124\t\t\t}\n125\t\n126\t\t\tentry := rawEntry{line: line}\n127\t\n128\t\t\tif len(line.Message) > 0 && string(line.Message) != \"null\" {\n129\t\t\t\tvar msg jsonlMessage\n130\t\t\t\tif err := json.Unmarshal(line.Message, &msg); err == nil {\n131\t\t\t\t\tentry.rawMsg = msg\n132\t\t\t\t\tentry.hasMsgP = true\n133\t\t\t\t\tif line.Type == \"\" && msg.Role != \"\" {\n134\t\t\t\t\t\tline.Type = msg.Role\n135\t\t\t\t\t\tentry.line.Type = msg.Role\n136\t\t\t\t\t}\n137\t\t\t\t}\n138\t\t\t}\n139\t\n140\t\t\tswitch line.Type {\n141\t\t\tcase \"user\":\n142\t\t\t\tentry.msgID = line.UUID\n143\t\t\t\tentries = append(entries, entry)\n144\t\t\tcase \"assistant\":\n145\t\t\t\tmsgID := entry.rawMsg.ID\n146\t\t\t\tif msgID == \"\" {\n147\t\t\t\t\tmsgID = line.UUID\n148\t\t\t\t}\n149\t\t\t\tentry.msgID = msgID\n150\t\n151\t\t\t\tvar blocks []contentBlock\n152\t\t\t\tif entry.hasMsgP && len(entry.rawMsg.Content) > 0 {\n153\t\t\t\t\tif err := json.Unmarshal(entry.rawMsg.Content, &blocks); err != nil {\n154\t\t\t\t\t\tslog.Warn(\"skipping malformed assistant content\", \"file\", path, \"line\", lineNum, \"error\", err)\n155\t\t\t\t\t}\n156\t\t\t\t}\n157\t\n158\t\t\t\tif prevIdx, exists := assistantLastIdx[msgID]; exists {\n159\t\t\t\t\ttarget := &entries[prevIdx]\n160\t\t\t\t\tfor _, nb := range blocks {\n161\t\t\t\t\t\tdup := false\n162\t\t\t\t\t\tfor _, eb := range target.mergedBlocks {\n163\t\t\t\t\t\t\tif eb.Type == nb.Type && eb.Text == nb.Text && eb.Name == nb.Name && eb.ID == nb.ID {\n164\t\t\t\t\t\t\t\tdup = true\n165\t\t\t\t\t\t\t\tbreak\n166\t\t\t\t\t\t\t}\n167\t\t\t\t\t\t}\n168\t\t\t\t\t\tif !dup {\n169\t\t\t\t\t\t\ttarget.mergedBlocks = append(target.mergedBlocks, nb)\n170\t\t\t\t\t\t}\n171\t\t\t\t\t}\n172\t\t\t\t} else {\n173\t\t\t\t\tentry.mergedBlocks = blocks\n174\t\t\t\t\tentry.rawMsg.Content = nil\n175\t\t\t\t\tassistantLastIdx[msgID] = len(entries)\n176\t\t\t\t\tentries = append(entries, entry)\n177\t\t\t\t}\n178\t\t\tcase \"system\":\n179\t\t\t\tif line.Subtype == \"away_summary\" {\n180\t\t\t\t\tentry.msgID = line.UUID\n181\t\t\t\t\tentries = append(entries, entry)\n182\t\t\t\t}\n183\t\t\t}\n184\t\t}\n185\t\tif err := scanner.Err(); err != nil {\n186\t\t\tslog.Warn(\"scanner error, processing lines read so far\", \"file\", path, \"line\", lineNum, \"error\", err)\n187\t\t}\n188\t\n189\t\t// Second pass: extract text from deduplicated entries and build messages.\n190\t\tvar messages []parsedMessage\n191\t\tvar startTime time.Time\n192\t\tfoundSessionID := sessionID\n193\t\n194\t\tfor _, entry := range entries {\n195\t\t\tts, _ := time.Parse(time.RFC3339Nano, entry.line.Timestamp)\n196\t\t\tif entry.line.SessionID != \"\" {\n197\t\t\t\tfoundSessionID = entry.line.SessionID\n198\t\t\t}\n199\t\n200\t\t\tswitch entry.line.Type {\n201\t\t\tcase \"user\":\n202\t\t\t\tif !entry.hasMsgP {\n203\t\t\t\t\tcontinue\n204\t\t\t\t}\n205\t\t\t\ttext := extractUserText(entry.rawMsg.Content)\n206\t\t\t\tif text == \"\" {\n207\t\t\t\t\tcontinue\n208\t\t\t\t}\n209\t\t\t\tif startTime.IsZero() && !ts.IsZero() {\n210\t\t\t\t\tstartTime = ts\n211\t\t\t\t}\n212\t\t\t\tmessages = append(messages, parsedMessage{\n213\t\t\t\t\tlineType: \"user\",\n214\t\t\t\t\ttimestamp: ts,\n215\t\t\t\t\tsessionID: foundSessionID,\n216\t\t\t\t\ttext: text,\n217\t\t\t\t})\n218\t\n219\t\t\tcase \"assistant\":\n220\t\t\t\tif len(entry.mergedBlocks) == 0 {\n221\t\t\t\t\tcontinue\n222\t\t\t\t}\n223\t\t\t\ttext, toolNames := extractAssistantBlocks(entry.mergedBlocks)\n224\t\t\t\tif text == \"\" && len(toolNames) == 0 {\n225\t\t\t\t\tcontinue\n226\t\t\t\t}\n227\t\t\t\tmessages = append(messages, parsedMessage{\n228\t\t\t\t\tlineType: \"assistant\",\n229\t\t\t\t\ttimestamp: ts,\n230\t\t\t\t\tsessionID: foundSessionID,\n231\t\t\t\t\ttext: text,\n232\t\t\t\t\ttoolNames: toolNames,\n233\t\t\t\t})\n234\t\n235\t\t\tcase \"system\":\n236\t\t\t\tif entry.line.Subtype == \"away_summary\" && entry.line.Content != \"\" {\n237\t\t\t\t\tmessages = append(messages, parsedMessage{\n238\t\t\t\t\t\tlineType: \"away_summary\",\n239\t\t\t\t\t\ttimestamp: ts,\n240\t\t\t\t\t\tsessionID: foundSessionID,\n241\t\t\t\t\t\ttext: strings.TrimSpace(entry.line.Content),\n242\t\t\t\t\t})\n243\t\t\t\t}\n244\t\t\t}\n245\t\t}\n246\t\n247\t\t// Third pass: build turn pairs from sequential messages.\n248\t\tturnPairs, totalChars := buildTurnPairs(messages)\n249\t\n250\t\treturn &ParsedSession{\n251\t\t\tSessionID: foundSessionID,\n252\t\t\tStartTime: startTime,\n253\t\t\tTurnPairs: turnPairs,\n254\t\t\tTotalAssistantChars: totalChars,\n255\t\t}, nil\n256\t}\n257\t\n258\t// extractUserText gets human text from a user message's content field.\n259\t// Content can be a JSON string or an array of content blocks.\n260\t// Returns empty string for tool-result-only messages, slash commands, and noise.\n261\tfunc extractUserText(raw json.RawMessage) string {\n262\t\tif len(raw) == 0 {\n263\t\t\treturn \"\"\n264\t\t}\n265\t\n266\t\t// Try string first (most common for actual human input).\n267\t\tvar s string\n268\t\tif err := json.Unmarshal(raw, &s); err == nil {\n269\t\t\treturn cleanUserText(s)\n270\t\t}\n271\t\n272\t\t// Array of content blocks.\n273\t\tvar blocks []contentBlock\n274\t\tif err := json.Unmarshal(raw, &blocks); err != nil {\n275\t\t\treturn \"\"\n276\t\t}\n277\t\n278\t\tvar texts []string\n279\t\thasText := false\n280\t\tfor _, b := range blocks {\n281\t\t\tif b.Type == \"text\" {\n282\t\t\t\thasText = true\n283\t\t\t\tcleaned := cleanUserText(b.Text)\n284\t\t\t\tif cleaned != \"\" {\n285\t\t\t\t\ttexts = append(texts, cleaned)\n286\t\t\t\t}\n287\t\t\t}\n288\t\t}\n289\t\n290\t\tif !hasText {\n291\t\t\treturn \"\" // tool_result-only message\n292\t\t}\n293\t\treturn strings.Join(texts, \"\\n\")\n294\t}\n295\t\n296\t// cleanUserText strips noise tags from user message text.\n297\tfunc cleanUserText(text string) string {\n298\t\ttext = sysReminderRe.ReplaceAllString(text, \"\")\n299\t\ttext = noiseTagRe.ReplaceAllString(text, \"\")\n300\t\ttext = strings.TrimSpace(text)\n301\t\treturn text\n302\t}\n303\t\n304\t// extractAssistantBlocks extracts text and tool names from pre-parsed content blocks.\n305\tfunc extractAssistantBlocks(blocks []contentBlock) (string, []string) {\n306\t\tvar texts []string\n307\t\tvar toolNames []string\n308\t\tfor _, b := range blocks {\n309\t\t\tswitch b.Type {\n310\t\t\tcase \"text\":\n311\t\t\t\tt := strings.TrimSpace(b.Text)\n312\t\t\t\tif t != \"\" {\n313\t\t\t\t\ttexts = append(texts, t)\n314\t\t\t\t}\n315\t\t\tcase \"tool_use\":\n316\t\t\t\tif b.Name != \"\" {\n317\t\t\t\t\ttoolNames = append(toolNames, b.Name)\n318\t\t\t\t}\n319\t\t\t}\n320\t\t}\n321\t\treturn strings.Join(texts, \"\\n\"), toolNames\n322\t}\n323\t\n324\t// buildTurnPairs groups sequential user→assistant messages into pairs.\n325\t// Away summaries are emitted as standalone entries (empty HumanText).\n326\tfunc buildTurnPairs(messages []parsedMessage) ([]TurnPair, int) {\n327\t\tvar pairs []TurnPair\n328\t\ttotalChars := 0\n329\t\n330\t\tvar pendingHuman *parsedMessage\n331\t\tvar currentAssistantText []string\n332\t\tvar currentToolNames []string\n333\t\n334\t\tflushPair := func() {\n335\t\t\tif pendingHuman == nil || len(currentAssistantText) == 0 {\n336\t\t\t\tpendingHuman = nil\n337\t\t\t\tcurrentAssistantText = nil\n338\t\t\t\tcurrentToolNames = nil\n339\t\t\t\treturn\n340\t\t\t}\n341\t\t\taText := strings.Join(currentAssistantText, \"\\n\")\n342\t\t\ttotalChars += len(aText)\n343\t\t\tpairs = append(pairs, TurnPair{\n344\t\t\t\tHumanText: pendingHuman.text,\n345\t\t\t\tAssistantText: aText,\n346\t\t\t\tToolNames: currentToolNames,\n347\t\t\t})\n348\t\t\tpendingHuman = nil\n349\t\t\tcurrentAssistantText = nil\n350\t\t\tcurrentToolNames = nil\n351\t\t}\n352\t\n353\t\tfor i := range messages {\n354\t\t\tmsg := &messages[i]\n355\t\t\tswitch msg.lineType {\n356\t\t\tcase \"user\":\n357\t\t\t\tflushPair()\n358\t\t\t\tpendingHuman = msg\n359\t\n360\t\t\tcase \"assistant\":\n361\t\t\t\tif msg.text != \"\" {\n362\t\t\t\t\tcurrentAssistantText = append(currentAssistantText, msg.text)\n363\t\t\t\t}\n364\t\t\t\tcurrentToolNames = append(currentToolNames, msg.toolNames...)\n365\t\n366\t\t\tcase \"away_summary\":\n367\t\t\t\tflushPair()\n368\t\t\t\ttotalChars += len(msg.text)\n369\t\t\t\tpairs = append(pairs, TurnPair{\n370\t\t\t\t\tHumanText: \"\",\n371\t\t\t\t\tAssistantText: msg.text,\n372\t\t\t\t})\n373\t\t\t}\n374\t\t}\n375\t\tflushPair()\n376\t\n377\t\treturn pairs, totalChars\n378\t}\n379\t\n380\t// ParseSubagents discovers and parses sub-agent conversations from a session directory.\n381\t// sessionDir is the bare directory alongside the .jsonl file (e.g., <uuid>/).\n382\tfunc ParseSubagents(sessionDir string) ([]TurnPair, error) {\n383\t\tsubagentsDir := filepath.Join(sessionDir, \"subagents\")\n384\t\tentries, err := os.ReadDir(subagentsDir)\n385\t\tif err != nil {\n386\t\t\tif os.IsNotExist(err) {\n387\t\t\t\treturn nil, nil\n388\t\t\t}\n389\t\t\treturn nil, fmt.Errorf(\"reading subagents directory: %w\", err)\n390\t\t}\n391\t\n392\t\tvar allPairs []TurnPair\n393\t\tfor _, entry := range entries {\n394\t\t\tif entry.IsDir() || !strings.HasSuffix(entry.Name(), \".jsonl\") {\n395\t\t\t\tcontinue\n396\t\t\t}\n397\t\t\tif !strings.HasPrefix(entry.Name(), \"agent-\") {\n398\t\t\t\tcontinue\n399\t\t\t}\n400\t\n401\t\t\tagentID := strings.TrimSuffix(entry.Name(), \".jsonl\")\n402\t\t\tmetaPath := filepath.Join(subagentsDir, agentID+\".meta.json\")\n403\t\t\tagentType, agentDesc := readAgentMeta(metaPath)\n404\t\n405\t\t\tjsonlPath := filepath.Join(subagentsDir, entry.Name())\n406\t\t\tparsed, err := ParseSession(jsonlPath)\n407\t\t\tif err != nil {\n408\t\t\t\tslog.Warn(\"skipping sub-agent parse failure\", \"path\", jsonlPath, \"error\", err)\n409\t\t\t\tcontinue\n410\t\t\t}\n411\t\n412\t\t\tfor _, tp := range parsed.TurnPairs {\n413\t\t\t\tallPairs = append(allPairs, TurnPair{\n414\t\t\t\t\tHumanText: tp.HumanText,\n415\t\t\t\t\tAssistantText: tp.AssistantText,\n416\t\t\t\t\tToolNames: tp.ToolNames,\n417\t\t\t\t\tIsSubagent: true,\n418\t\t\t\t\tSubagentType: agentType,\n419\t\t\t\t\tSubagentDesc: agentDesc,\n420\t\t\t\t})\n421\t\t\t}\n422\t\t}\n423\t\n424\t\treturn allPairs, nil\n425\t}\n426\t\n427\ttype agentMeta struct {\n428\t\tAgentType string `json:\"agentType\"`\n429\t\tDescription string `json:\"description\"`\n430\t}\n431\t\n432\tfunc readAgentMeta(path string) (agentType, description string) {\n433\t\tdata, err := os.ReadFile(path)\n434\t\tif err != nil {\n435\t\t\treturn \"\", \"\"\n436\t\t}\n437\t\tvar meta agentMeta\n438\t\tif err := json.Unmarshal(data, &meta); err != nil {\n439\t\t\treturn \"\", \"\"\n440\t\t}\n441\t\treturn meta.AgentType, meta.Description\n442\t}\n443\t"}]},"uuid":"fcba38c3-28f2-46ed-b362-4f04d1ea0138","timestamp":"2026-05-07T06:49:45.150Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/sergio/Projects/personal/capy/internal/session/parse.go","content":"package session\n\nimport (\n\t\"bufio\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"log/slog\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"regexp\"\n\t\"strings\"\n\t\"time\"\n)\n\n// ParsedSession holds the filtered, structured content of a Claude Code session.\ntype ParsedSession struct {\n\tSessionID string\n\tStartTime time.Time\n\tTurnPairs []TurnPair\n\tTotalAssistantChars int\n}\n\n// TurnPair is one human→assistant exchange, optionally with tool usage metadata.\ntype TurnPair struct {\n\tHumanText string\n\tAssistantText string\n\tToolNames []string\n\tIsSubagent bool\n\tSubagentType string\n\tSubagentDesc string\n}\n\n// IsIndexable returns true if the session has enough content to be worth indexing.\n// Requires at least 2 non-subagent turn pairs and 200+ chars of assistant text.\nfunc (s *ParsedSession) IsIndexable() bool {\n\tmainPairs := 0\n\tfor _, tp := range s.TurnPairs {\n\t\tif !tp.IsSubagent {\n\t\t\tmainPairs++\n\t\t}\n\t}\n\treturn mainPairs >= 2 && s.TotalAssistantChars >= 200\n}\n\nvar (\n\tsysReminderRe = regexp.MustCompile(`(?s)<system-reminder>.*?</system-reminder>`)\n\tnoiseTagRe = regexp.MustCompile(`(?s)<local-command-caveat>.*?</local-command-caveat>|<local-command-stdout>.*?</local-command-stdout>|<command-name>.*?</command-name>|<command-message>.*?</command-message>|<command-args>.*?</command-args>`)\n)\n\n// jsonlLine is the top-level structure of each JSONL entry.\ntype jsonlLine struct {\n\tType string `json:\"type\"`\n\tSubtype string `json:\"subtype\"`\n\tUUID string `json:\"uuid\"`\n\tTimestamp string `json:\"timestamp\"`\n\tSessionID string `json:\"sessionId\"`\n\tContent string `json:\"content\"`\n\tMessage json.RawMessage `json:\"message\"`\n}\n\n// jsonlMessage is the nested message object within user/assistant entries.\ntype jsonlMessage struct {\n\tID string `json:\"id\"`\n\tRole string `json:\"role\"`\n\tContent json.RawMessage `json:\"content\"`\n}\n\n// contentBlock represents a single block within message.content arrays.\ntype contentBlock struct {\n\tType string `json:\"type\"`\n\tText string `json:\"text\"`\n\tName string `json:\"name\"`\n\tID string `json:\"id\"`\n}\n\n// parsedMessage is an intermediate representation after JSONL deduplication.\ntype parsedMessage struct {\n\tlineType string // \"user\", \"assistant\", \"away_summary\"\n\ttimestamp time.Time\n\tsessionID string\n\ttext string // extracted human/assistant text\n\ttoolNames []string // tool_use names (assistant only)\n}\n\n// ParseSession reads a Claude Code session JSONL file and returns structured\n// content with noise filtered out. Malformed lines are logged and skipped.\nfunc ParseSession(path string) (*ParsedSession, error) {\n\tf, err := os.Open(path)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"opening session file: %w\", err)\n\t}\n\tdefer f.Close()\n\n\tsessionID := strings.TrimSuffix(filepath.Base(path), \".jsonl\")\n\n\t// First pass: parse all lines and merge assistant progressive snapshots\n\t// by message.id. Claude Code writes one content block per JSONL line\n\t// (non-cumulative), so we collect all blocks sharing the same message.id.\n\ttype rawEntry struct {\n\t\tline jsonlLine\n\t\tmsgID string // message.id for assistant merge; uuid for others\n\t\trawMsg jsonlMessage\n\t\thasMsgP bool // whether Message field was present and parsed\n\t\tmergedBlocks []contentBlock // accumulated blocks from all progressive snapshots\n\t}\n\n\tvar entries []rawEntry\n\tassistantLastIdx := make(map[string]int) // message.id → index in entries\n\n\tscanner := bufio.NewScanner(f)\n\tscanner.Buffer(make([]byte, 0, 256*1024), 16*1024*1024)\n\tlineNum := 0\n\tfor scanner.Scan() {\n\t\tlineNum++\n\t\tdata := scanner.Bytes()\n\t\tif len(data) == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tvar line jsonlLine\n\t\tif err := json.Unmarshal(data, &line); err != nil {\n\t\t\tslog.Warn(\"skipping malformed JSONL line\", \"file\", path, \"line\", lineNum, \"error\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tentry := rawEntry{line: line}\n\n\t\tif len(line.Message) > 0 && string(line.Message) != \"null\" {\n\t\t\tvar msg jsonlMessage\n\t\t\tif err := json.Unmarshal(line.Message, &msg); err == nil {\n\t\t\t\tentry.rawMsg = msg\n\t\t\t\tentry.hasMsgP = true\n\t\t\t\tif line.Type == \"\" && msg.Role != \"\" {\n\t\t\t\t\tline.Type = msg.Role\n\t\t\t\t\tentry.line.Type = msg.Role\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tswitch line.Type {\n\t\tcase \"user\":\n\t\t\tentry.msgID = line.UUID\n\t\t\tentries = append(entries, entry)\n\t\tcase \"assistant\":\n\t\t\tmsgID := entry.rawMsg.ID\n\t\t\tif msgID == \"\" {\n\t\t\t\tmsgID = line.UUID\n\t\t\t}\n\t\t\tentry.msgID = msgID\n\n\t\t\tvar blocks []contentBlock\n\t\t\tif entry.hasMsgP && len(entry.rawMsg.Content) > 0 {\n\t\t\t\tif err := json.Unmarshal(entry.rawMsg.Content, &blocks); err != nil {\n\t\t\t\t\tslog.Warn(\"skipping malformed assistant content\", \"file\", path, \"line\", lineNum, \"error\", err)\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif prevIdx, exists := assistantLastIdx[msgID]; exists {\n\t\t\t\ttarget := &entries[prevIdx]\n\t\t\t\tfor _, nb := range blocks {\n\t\t\t\t\tdup := false\n\t\t\t\t\tfor _, eb := range target.mergedBlocks {\n\t\t\t\t\t\tif eb.Type == nb.Type && eb.Text == nb.Text && eb.Name == nb.Name && eb.ID == nb.ID {\n\t\t\t\t\t\t\tdup = true\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tif !dup {\n\t\t\t\t\t\ttarget.mergedBlocks = append(target.mergedBlocks, nb)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tentry.mergedBlocks = blocks\n\t\t\t\tentry.rawMsg.Content = nil\n\t\t\t\tassistantLastIdx[msgID] = len(entries)\n\t\t\t\tentries = append(entries, entry)\n\t\t\t}\n\t\tcase \"system\":\n\t\t\tif line.Subtype == \"away_summary\" {\n\t\t\t\tentry.msgID = line.UUID\n\t\t\t\tentries = append(entries, entry)\n\t\t\t}\n\t\t}\n\t}\n\tif err := scanner.Err(); err != nil {\n\t\tslog.Warn(\"scanner error, processing lines read so far\", \"file\", path, \"line\", lineNum, \"error\", err)\n\t}\n\n\t// Second pass: extract text from deduplicated entries and build messages.\n\tvar messages []parsedMessage\n\tvar startTime time.Time\n\tfoundSessionID := sessionID\n\n\tfor _, entry := range entries {\n\t\tts, _ := time.Parse(time.RFC3339Nano, entry.line.Timestamp)\n\t\tif entry.line.SessionID != \"\" {\n\t\t\tfoundSessionID = entry.line.SessionID\n\t\t}\n\n\t\tswitch entry.line.Type {\n\t\tcase \"user\":\n\t\t\tif !entry.hasMsgP {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\ttext := extractUserText(entry.rawMsg.Content)\n\t\t\tif text == \"\" {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\tif startTime.IsZero() && !ts.IsZero() {\n\t\t\t\tstartTime = ts\n\t\t\t}\n\t\t\tmessages = append(messages, parsedMessage{\n\t\t\t\tlineType: \"user\",\n\t\t\t\ttimestamp: ts,\n\t\t\t\tsessionID: foundSessionID,\n\t\t\t\ttext: text,\n\t\t\t})\n\n\t\tcase \"assistant\":\n\t\t\tif len(entry.mergedBlocks) == 0 {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\ttext, toolNames := extractAssistantBlocks(entry.mergedBlocks)\n\t\t\tif text == \"\" && len(toolNames) == 0 {\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\tmessages = append(messages, parsedMessage{\n\t\t\t\tlineType: \"assistant\",\n\t\t\t\ttimestamp: ts,\n\t\t\t\tsessionID: foundSessionID,\n\t\t\t\ttext: text,\n\t\t\t\ttoolNames: toolNames,\n\t\t\t})\n\n\t\tcase \"system\":\n\t\t\tif entry.line.Subtype == \"away_summary\" && entry.line.Content != \"\" {\n\t\t\t\tmessages = append(messages, parsedMessage{\n\t\t\t\t\tlineType: \"away_summary\",\n\t\t\t\t\ttimestamp: ts,\n\t\t\t\t\tsessionID: foundSessionID,\n\t\t\t\t\ttext: strings.TrimSpace(entry.line.Content),\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\t// Third pass: build turn pairs from sequential messages.\n\tturnPairs, totalChars := buildTurnPairs(messages)\n\n\treturn &ParsedSession{\n\t\tSessionID: foundSessionID,\n\t\tStartTime: startTime,\n\t\tTurnPairs: turnPairs,\n\t\tTotalAssistantChars: totalChars,\n\t}, nil\n}\n\n// extractUserText gets human text from a user message's content field.\n// Content can be a JSON string or an array of content blocks.\n// Returns empty string for tool-result-only messages, slash commands, and noise.\nfunc extractUserText(raw json.RawMessage) string {\n\tif len(raw) == 0 {\n\t\treturn \"\"\n\t}\n\n\t// Try string first (most common for actual human input).\n\tvar s string\n\tif err := json.Unmarshal(raw, &s); err == nil {\n\t\treturn cleanUserText(s)\n\t}\n\n\t// Array of content blocks.\n\tvar blocks []contentBlock\n\tif err := json.Unmarshal(raw, &blocks); err != nil {\n\t\treturn \"\"\n\t}\n\n\tvar texts []string\n\thasText := false\n\tfor _, b := range blocks {\n\t\tif b.Type == \"text\" {\n\t\t\thasText = true\n\t\t\tcleaned := cleanUserText(b.Text)\n\t\t\tif cleaned != \"\" {\n\t\t\t\ttexts = append(texts, cleaned)\n\t\t\t}\n\t\t}\n\t}\n\n\tif !hasText {\n\t\treturn \"\" // tool_result-only message\n\t}\n\treturn strings.Join(texts, \"\\n\")\n}\n\n// cleanUserText strips noise tags from user message text.\nfunc cleanUserText(text string) string {\n\ttext = sysReminderRe.ReplaceAllString(text, \"\")\n\ttext = noiseTagRe.ReplaceAllString(text, \"\")\n\ttext = strings.TrimSpace(text)\n\treturn text\n}\n\n// extractAssistantBlocks extracts text and tool names from pre-parsed content blocks.\nfunc extractAssistantBlocks(blocks []contentBlock) (string, []string) {\n\tvar texts []string\n\tvar toolNames []string\n\tfor _, b := range blocks {\n\t\tswitch b.Type {\n\t\tcase \"text\":\n\t\t\tt := strings.TrimSpace(b.Text)\n\t\t\tif t != \"\" {\n\t\t\t\ttexts = append(texts, t)\n\t\t\t}\n\t\tcase \"tool_use\":\n\t\t\tif b.Name != \"\" {\n\t\t\t\ttoolNames = append(toolNames, b.Name)\n\t\t\t}\n\t\t}\n\t}\n\treturn strings.Join(texts, \"\\n\"), toolNames\n}\n\n// buildTurnPairs groups sequential user→assistant messages into pairs.\n// Away summaries are emitted as standalone entries (empty HumanText).\nfunc buildTurnPairs(messages []parsedMessage) ([]TurnPair, int) {\n\tvar pairs []TurnPair\n\ttotalChars := 0\n\n\tvar pendingHuman *parsedMessage\n\tvar currentAssistantText []string\n\tvar currentToolNames []string\n\n\tflushPair := func() {\n\t\tif pendingHuman == nil || len(currentAssistantText) == 0 {\n\t\t\tpendingHuman = nil\n\t\t\tcurrentAssistantText = nil\n\t\t\tcurrentToolNames = nil\n\t\t\treturn\n\t\t}\n\t\taText := strings.Join(currentAssistantText, \"\\n\")\n\t\ttotalChars += len(aText)\n\t\tpairs = append(pairs, TurnPair{\n\t\t\tHumanText: pendingHuman.text,\n\t\t\tAssistantText: aText,\n\t\t\tToolNames: currentToolNames,\n\t\t})\n\t\tpendingHuman = nil\n\t\tcurrentAssistantText = nil\n\t\tcurrentToolNames = nil\n\t}\n\n\tfor i := range messages {\n\t\tmsg := &messages[i]\n\t\tswitch msg.lineType {\n\t\tcase \"user\":\n\t\t\tflushPair()\n\t\t\tpendingHuman = msg\n\n\t\tcase \"assistant\":\n\t\t\tif msg.text != \"\" {\n\t\t\t\tcurrentAssistantText = append(currentAssistantText, msg.text)\n\t\t\t}\n\t\t\tcurrentToolNames = append(currentToolNames, msg.toolNames...)\n\n\t\tcase \"away_summary\":\n\t\t\tflushPair()\n\t\t\ttotalChars += len(msg.text)\n\t\t\tpairs = append(pairs, TurnPair{\n\t\t\t\tHumanText: \"\",\n\t\t\t\tAssistantText: msg.text,\n\t\t\t})\n\t\t}\n\t}\n\tflushPair()\n\n\treturn pairs, totalChars\n}\n\n// ParseSubagents discovers and parses sub-agent conversations from a session directory.\n// sessionDir is the bare directory alongside the .jsonl file (e.g., <uuid>/).\nfunc ParseSubagents(sessionDir string) ([]TurnPair, error) {\n\tsubagentsDir := filepath.Join(sessionDir, \"subagents\")\n\tentries, err := os.ReadDir(subagentsDir)\n\tif err != nil {\n\t\tif os.IsNotExist(err) {\n\t\t\treturn nil, nil\n\t\t}\n\t\treturn nil, fmt.Errorf(\"reading subagents directory: %w\", err)\n\t}\n\n\tvar allPairs []TurnPair\n\tfor _, entry := range entries {\n\t\tif entry.IsDir() || !strings.HasSuffix(entry.Name(), \".jsonl\") {\n\t\t\tcontinue\n\t\t}\n\t\tif !strings.HasPrefix(entry.Name(), \"agent-\") {\n\t\t\tcontinue\n\t\t}\n\n\t\tagentID := strings.TrimSuffix(entry.Name(), \".jsonl\")\n\t\tmetaPath := filepath.Join(subagentsDir, agentID+\".meta.json\")\n\t\tagentType, agentDesc := readAgentMeta(metaPath)\n\n\t\tjsonlPath := filepath.Join(subagentsDir, entry.Name())\n\t\tparsed, err := ParseSession(jsonlPath)\n\t\tif err != nil {\n\t\t\tslog.Warn(\"skipping sub-agent parse failure\", \"path\", jsonlPath, \"error\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tfor _, tp := range parsed.TurnPairs {\n\t\t\tallPairs = append(allPairs, TurnPair{\n\t\t\t\tHumanText: tp.HumanText,\n\t\t\t\tAssistantText: tp.AssistantText,\n\t\t\t\tToolNames: tp.ToolNames,\n\t\t\t\tIsSubagent: true,\n\t\t\t\tSubagentType: agentType,\n\t\t\t\tSubagentDesc: agentDesc,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn allPairs, nil\n}\n\ntype agentMeta struct {\n\tAgentType string `json:\"agentType\"`\n\tDescription string `json:\"description\"`\n}\n\nfunc readAgentMeta(path string) (agentType, description string) {\n\tdata, err := os.ReadFile(path)\n\tif err != nil {\n\t\treturn \"\", \"\"\n\t}\n\tvar meta agentMeta\n\tif err := json.Unmarshal(data, &meta); err != nil {\n\t\treturn \"\", \"\"\n\t}\n\treturn meta.AgentType, meta.Description\n}\n","numLines":443,"startLine":1,"totalLines":443}},"sourceToolAssistantUUID":"dd3ef1c0-c50e-4443-8069-1a3c70f2f6ba","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"type":"last-prompt","lastPrompt":"Explore this issue I discovered yesterday when comparing an indexed session vs raw jsonl session file : https://github.com/serpro69/capy/issues/41 Perform a thorough analysis of the issue. Then use kk…","leafUuid":"7c5be8f7-b51f-4513-a28b-532b7c74ff23","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"ai-title","aiTitle":"Analyze session indexing issue and document RAG design v2","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
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{"parentUuid":"72376d59-ea31-4919-86cd-3a9e201d0d58","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QEo4bx1PuWzzwAEc9djiJ3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BPBDruNPuFRb58wEvVybtj","name":"Read","input":{"file_path":"/Users/sergio/Projects/personal/capy/internal/session/chunk.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5016,"cache_read_input_tokens":60009,"output_tokens":1937,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":5016,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmDqGnTkXNocBGtRMyF","type":"assistant","uuid":"2c7923d8-8985-49ac-aded-f57afb6ed3da","timestamp":"2026-05-07T06:50:34.732Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"72376d59-ea31-4919-86cd-3a9e201d0d58","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SArchPCnoBuNWNzGJi2SUH","type":"tool_result","content":"1\tpackage session\n2\t\n3\timport (\n4\t\t\"fmt\"\n5\t\t\"strings\"\n6\t)\n7\t\n8\t// TranscriptResult holds the plaintext transcript and a per-turn-pair byte offset\n9\t// map, so that chunking can slice by turn pair boundaries without re-parsing.\n10\ttype TranscriptResult struct {\n11\t\tText string\n12\t\tOffsets []TurnOffset\n13\t}\n14\t\n15\t// TurnOffset records the byte range [Start, End) of a turn pair in the transcript.\n16\ttype TurnOffset struct {\n17\t\tStart int\n18\t\tEnd int\n19\t}\n20\t\n21\t// BuildTranscript converts a ParsedSession into a plaintext transcript string\n22\t// with Human:/Assistant: format, [Tools: ...] lines, [Session summary: ...] entries,\n23\t// and --- Subagent --- delimiters. Consecutive subagent turns from the same agent\n24\t// are grouped under a single delimiter block.\n25\t//\n26\t// Returns the transcript text and per-turn-pair byte offsets so chunking can\n27\t// slice content by turn pair boundaries without re-serializing.\n28\tfunc BuildTranscript(s *ParsedSession) TranscriptResult {\n29\t\tvar b strings.Builder\n30\t\toffsets := make([]TurnOffset, len(s.TurnPairs))\n31\t\tn := len(s.TurnPairs)\n32\t\n33\t\tfor i := 0; i < n; {\n34\t\t\tif i > 0 {\n35\t\t\t\tb.WriteByte('\\n')\n36\t\t\t}\n37\t\n38\t\t\ttp := s.TurnPairs[i]\n39\t\n40\t\t\tif tp.IsSubagent {\n41\t\t\t\ti = writeSubagentBlock(&b, s.TurnPairs, i, offsets)\n42\t\t\t\tcontinue\n43\t\t\t}\n44\t\n45\t\t\tstart := b.Len()\n46\t\n47\t\t\tif tp.HumanText == \"\" && tp.AssistantText != \"\" {\n48\t\t\t\tfmt.Fprintf(&b, \"[Session summary: %s]\\n\", tp.AssistantText)\n49\t\t\t} else if tp.HumanText == \"\" && tp.AssistantText == \"\" {\n50\t\t\t\ti++\n51\t\t\t\toffsets[i-1] = TurnOffset{Start: start, End: start}\n52\t\t\t\tcontinue\n53\t\t\t} else {\n54\t\t\t\tfmt.Fprintf(&b, \"Human: %s\\n\", tp.HumanText)\n55\t\t\t\tfmt.Fprintf(&b, \"Assistant: %s\\n\", tp.AssistantText)\n56\t\t\t\tif len(tp.ToolNames) > 0 {\n57\t\t\t\t\tfmt.Fprintf(&b, \"[Tools: %s]\\n\", strings.Join(tp.ToolNames, \", \"))\n58\t\t\t\t}\n59\t\t\t}\n60\t\n61\t\t\toffsets[i] = TurnOffset{Start: start, End: b.Len()}\n62\t\t\ti++\n63\t\t}\n64\t\n65\t\treturn TranscriptResult{Text: b.String(), Offsets: offsets}\n66\t}\n67\t\n68\t// writeSubagentBlock writes a group of consecutive subagent turns sharing the same\n69\t// SubagentType+SubagentDesc under a single delimiter pair. Records offsets for each\n70\t// turn. Returns the index of the first turn pair after the block.\n71\tfunc writeSubagentBlock(b *strings.Builder, pairs []TurnPair, start int, offsets []TurnOffset) int {\n72\t\ttp := pairs[start]\n73\t\tagentType := tp.SubagentType\n74\t\tif agentType == \"\" {\n75\t\t\tagentType = \"Agent\"\n76\t\t}\n77\t\tdesc := tp.SubagentDesc\n78\t\tif desc == \"\" {\n79\t\t\tdesc = \"subagent task\"\n80\t\t}\n81\t\n82\t\tblockStart := b.Len()\n83\t\tfmt.Fprintf(b, \"--- Subagent: %s — %q ---\\n\", agentType, desc)\n84\t\n85\t\ti := start\n86\t\tfor i < len(pairs) && pairs[i].IsSubagent &&\n87\t\t\tpairs[i].SubagentType == tp.SubagentType &&\n88\t\t\tpairs[i].SubagentDesc == tp.SubagentDesc {\n89\t\n90\t\t\tturnStart := b.Len()\n91\t\t\tif i > start {\n92\t\t\t\tb.WriteByte('\\n')\n93\t\t\t\tturnStart = b.Len()\n94\t\t\t}\n95\t\n96\t\t\tfmt.Fprintf(b, \"Human: %s\\n\", pairs[i].HumanText)\n97\t\t\tfmt.Fprintf(b, \"Assistant: %s\\n\", pairs[i].AssistantText)\n98\t\t\tif len(pairs[i].ToolNames) > 0 {\n99\t\t\t\tfmt.Fprintf(b, \"[Tools: %s]\\n\", strings.Join(pairs[i].ToolNames, \", \"))\n100\t\t\t}\n101\t\n102\t\t\t// For the first turn in the group, include the opening delimiter.\n103\t\t\tif i == start {\n104\t\t\t\toffsets[i] = TurnOffset{Start: blockStart, End: b.Len()}\n105\t\t\t} else {\n106\t\t\t\toffsets[i] = TurnOffset{Start: turnStart, End: b.Len()}\n107\t\t\t}\n108\t\t\ti++\n109\t\t}\n110\t\n111\t\tb.WriteString(\"--- End subagent ---\\n\")\n112\t\n113\t\t// Extend the last turn's offset to include the closing delimiter.\n114\t\tif i > start {\n115\t\t\toffsets[i-1] = TurnOffset{Start: offsets[i-1].Start, End: b.Len()}\n116\t\t}\n117\t\n118\t\treturn i\n119\t}\n120\t"}]},"uuid":"d6d3a48f-8d0e-4c80-a03a-5f49332a6f49","timestamp":"2026-05-07T06:50:34.808Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/sergio/Projects/personal/capy/internal/session/transcript.go","content":"package session\n\nimport (\n\t\"fmt\"\n\t\"strings\"\n)\n\n// TranscriptResult holds the plaintext transcript and a per-turn-pair byte offset\n// map, so that chunking can slice by turn pair boundaries without re-parsing.\ntype TranscriptResult struct {\n\tText string\n\tOffsets []TurnOffset\n}\n\n// TurnOffset records the byte range [Start, End) of a turn pair in the transcript.\ntype TurnOffset struct {\n\tStart int\n\tEnd int\n}\n\n// BuildTranscript converts a ParsedSession into a plaintext transcript string\n// with Human:/Assistant: format, [Tools: ...] lines, [Session summary: ...] entries,\n// and --- Subagent --- delimiters. Consecutive subagent turns from the same agent\n// are grouped under a single delimiter block.\n//\n// Returns the transcript text and per-turn-pair byte offsets so chunking can\n// slice content by turn pair boundaries without re-serializing.\nfunc BuildTranscript(s *ParsedSession) TranscriptResult {\n\tvar b strings.Builder\n\toffsets := make([]TurnOffset, len(s.TurnPairs))\n\tn := len(s.TurnPairs)\n\n\tfor i := 0; i < n; {\n\t\tif i > 0 {\n\t\t\tb.WriteByte('\\n')\n\t\t}\n\n\t\ttp := s.TurnPairs[i]\n\n\t\tif tp.IsSubagent {\n\t\t\ti = writeSubagentBlock(&b, s.TurnPairs, i, offsets)\n\t\t\tcontinue\n\t\t}\n\n\t\tstart := b.Len()\n\n\t\tif tp.HumanText == \"\" && tp.AssistantText != \"\" {\n\t\t\tfmt.Fprintf(&b, \"[Session summary: %s]\\n\", tp.AssistantText)\n\t\t} else if tp.HumanText == \"\" && tp.AssistantText == \"\" {\n\t\t\ti++\n\t\t\toffsets[i-1] = TurnOffset{Start: start, End: start}\n\t\t\tcontinue\n\t\t} else {\n\t\t\tfmt.Fprintf(&b, \"Human: %s\\n\", tp.HumanText)\n\t\t\tfmt.Fprintf(&b, \"Assistant: %s\\n\", tp.AssistantText)\n\t\t\tif len(tp.ToolNames) > 0 {\n\t\t\t\tfmt.Fprintf(&b, \"[Tools: %s]\\n\", strings.Join(tp.ToolNames, \", \"))\n\t\t\t}\n\t\t}\n\n\t\toffsets[i] = TurnOffset{Start: start, End: b.Len()}\n\t\ti++\n\t}\n\n\treturn TranscriptResult{Text: b.String(), Offsets: offsets}\n}\n\n// writeSubagentBlock writes a group of consecutive subagent turns sharing the same\n// SubagentType+SubagentDesc under a single delimiter pair. Records offsets for each\n// turn. Returns the index of the first turn pair after the block.\nfunc writeSubagentBlock(b *strings.Builder, pairs []TurnPair, start int, offsets []TurnOffset) int {\n\ttp := pairs[start]\n\tagentType := tp.SubagentType\n\tif agentType == \"\" {\n\t\tagentType = \"Agent\"\n\t}\n\tdesc := tp.SubagentDesc\n\tif desc == \"\" {\n\t\tdesc = \"subagent task\"\n\t}\n\n\tblockStart := b.Len()\n\tfmt.Fprintf(b, \"--- Subagent: %s — %q ---\\n\", agentType, desc)\n\n\ti := start\n\tfor i < len(pairs) && pairs[i].IsSubagent &&\n\t\tpairs[i].SubagentType == tp.SubagentType &&\n\t\tpairs[i].SubagentDesc == tp.SubagentDesc {\n\n\t\tturnStart := b.Len()\n\t\tif i > start {\n\t\t\tb.WriteByte('\\n')\n\t\t\tturnStart = b.Len()\n\t\t}\n\n\t\tfmt.Fprintf(b, \"Human: %s\\n\", pairs[i].HumanText)\n\t\tfmt.Fprintf(b, \"Assistant: %s\\n\", pairs[i].AssistantText)\n\t\tif len(pairs[i].ToolNames) > 0 {\n\t\t\tfmt.Fprintf(b, \"[Tools: %s]\\n\", strings.Join(pairs[i].ToolNames, \", \"))\n\t\t}\n\n\t\t// For the first turn in the group, include the opening delimiter.\n\t\tif i == start {\n\t\t\toffsets[i] = TurnOffset{Start: blockStart, End: b.Len()}\n\t\t} else {\n\t\t\toffsets[i] = TurnOffset{Start: turnStart, End: b.Len()}\n\t\t}\n\t\ti++\n\t}\n\n\tb.WriteString(\"--- End subagent ---\\n\")\n\n\t// Extend the last turn's offset to include the closing delimiter.\n\tif i > start {\n\t\toffsets[i-1] = TurnOffset{Start: offsets[i-1].Start, End: b.Len()}\n\t}\n\n\treturn i\n}\n","numLines":120,"startLine":1,"totalLines":120}},"sourceToolAssistantUUID":"72376d59-ea31-4919-86cd-3a9e201d0d58","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"2c7923d8-8985-49ac-aded-f57afb6ed3da","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BPBDruNPuFRb58wEvVybtj","type":"tool_result","content":"1\tpackage session\n2\t\n3\timport (\n4\t\t\"fmt\"\n5\t\t\"maps\"\n6\t\t\"slices\"\n7\t\t\"strings\"\n8\t\n9\t\t\"github.com/serpro69/capy/internal/store\"\n10\t)\n11\t\n12\tconst (\n13\t\tdefaultWindowSize = 4\n14\t\tdefaultOverlap = 1\n15\t)\n16\t\n17\t// ChunkSession splits a parsed session into store-ready chunks using a sliding\n18\t// window over turn pairs. Titles are built from structured ParsedSession data\n19\t// (timestamps, tool names, subagent info), not parsed from transcript text.\n20\t//\n21\t// The transcript parameter must be the result of BuildTranscript — its Offsets\n22\t// are used to slice content by turn pair boundaries.\n23\t// maxBytes controls the maximum chunk size; 0 uses store.MaxChunkBytes.\n24\t//\n25\t// The caller is responsible for sanitizing the transcript text (via sanitize.StripSecrets)\n26\t// before calling this function if the content will be indexed.\n27\tfunc ChunkSession(session *ParsedSession, tr TranscriptResult, maxBytes int) []store.Chunk {\n28\t\tif maxBytes <= 0 {\n29\t\t\tmaxBytes = store.MaxChunkBytes\n30\t\t}\n31\t\n32\t\tpairs := session.TurnPairs\n33\t\tif len(pairs) == 0 {\n34\t\t\treturn nil\n35\t\t}\n36\t\n37\t\ttranscript := tr.Text\n38\t\n39\t\tif len(transcript) <= maxBytes {\n40\t\t\ttitle := buildChunkTitle(session, 0, len(pairs)-1)\n41\t\t\treturn []store.Chunk{{\n42\t\t\t\tTitle: title,\n43\t\t\t\tContent: strings.TrimSpace(transcript),\n44\t\t\t\tHasCode: store.ChunkHasCode(transcript),\n45\t\t\t}}\n46\t\t}\n47\t\n48\t\tvar chunks []store.Chunk\n49\t\tstep := max(defaultWindowSize-defaultOverlap, 1)\n50\t\n51\t\tfor start := 0; start < len(pairs); start += step {\n52\t\t\tend := min(start+defaultWindowSize-1, len(pairs)-1)\n53\t\n54\t\t\tcontent := extractWindowContent(transcript, tr.Offsets, start, end)\n55\t\t\tcontent = strings.TrimSpace(content)\n56\t\t\tif content == \"\" {\n57\t\t\t\tcontinue\n58\t\t\t}\n59\t\n60\t\t\ttitle := buildChunkTitle(session, start, end)\n61\t\n62\t\t\tif len(content) > maxBytes {\n63\t\t\t\tchunks = append(chunks, store.SplitOversized(content, title, maxBytes)...)\n64\t\t\t} else {\n65\t\t\t\tchunks = append(chunks, store.Chunk{\n66\t\t\t\t\tTitle: title,\n67\t\t\t\t\tContent: content,\n68\t\t\t\t\tHasCode: store.ChunkHasCode(content),\n69\t\t\t\t})\n70\t\t\t}\n71\t\n72\t\t\tif end >= len(pairs)-1 {\n73\t\t\t\tbreak\n74\t\t\t}\n75\t\t}\n76\t\n77\t\treturn chunks\n78\t}\n79\t\n80\t// extractWindowContent returns the transcript text for turn pairs [start, end].\n81\tfunc extractWindowContent(transcript string, offsets []TurnOffset, start, end int) string {\n82\t\tif start >= len(offsets) {\n83\t\t\treturn \"\"\n84\t\t}\n85\t\tend = min(end, len(offsets)-1)\n86\t\tlo := offsets[start].Start\n87\t\thi := min(offsets[end].End, len(transcript))\n88\t\treturn transcript[lo:hi]\n89\t}\n90\t\n91\t// buildChunkTitle builds a BM25-friendly title from structured session data.\n92\t// Format: \"Session <datetime> | Turns <start>-<end> | Tools: <names>\"\n93\t// With subagent: \"Session <datetime> | Turns <start>-<end> | Subagent: <type> | Tools: <names>\"\n94\tfunc buildChunkTitle(session *ParsedSession, start, end int) string {\n95\t\tvar b strings.Builder\n96\t\n97\t\tts := session.StartTime.UTC().Format(\"2006-01-02T15:04:05Z\")\n98\t\tfmt.Fprintf(&b, \"Session %s | Turns %d-%d\", ts, start+1, end+1)\n99\t\n100\t\tsubagentTypes := make(map[string]bool)\n101\t\ttoolSet := make(map[string]bool)\n102\t\tvar toolOrder []string\n103\t\n104\t\tfor i := start; i <= end && i < len(session.TurnPairs); i++ {\n105\t\t\ttp := session.TurnPairs[i]\n106\t\t\tif tp.IsSubagent && tp.SubagentType != \"\" {\n107\t\t\t\tsubagentTypes[tp.SubagentType] = true\n108\t\t\t}\n109\t\t\tfor _, name := range tp.ToolNames {\n110\t\t\t\tif !toolSet[name] {\n111\t\t\t\t\ttoolSet[name] = true\n112\t\t\t\t\ttoolOrder = append(toolOrder, name)\n113\t\t\t\t}\n114\t\t\t}\n115\t\t}\n116\t\n117\t\tif len(subagentTypes) > 0 {\n118\t\t\ttypes := slices.Sorted(maps.Keys(subagentTypes))\n119\t\t\tfmt.Fprintf(&b, \" | Subagent: %s\", strings.Join(types, \", \"))\n120\t\t}\n121\t\n122\t\tif len(toolOrder) > 0 {\n123\t\t\tfmt.Fprintf(&b, \" | Tools: %s\", strings.Join(toolOrder, \", \"))\n124\t\t}\n125\t\n126\t\treturn b.String()\n127\t}\n128\t"}]},"uuid":"ed56b9c3-9a31-4515-9370-f18133ed3e10","timestamp":"2026-05-07T06:50:34.812Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/sergio/Projects/personal/capy/internal/session/chunk.go","content":"package session\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"slices\"\n\t\"strings\"\n\n\t\"github.com/serpro69/capy/internal/store\"\n)\n\nconst (\n\tdefaultWindowSize = 4\n\tdefaultOverlap = 1\n)\n\n// ChunkSession splits a parsed session into store-ready chunks using a sliding\n// window over turn pairs. Titles are built from structured ParsedSession data\n// (timestamps, tool names, subagent info), not parsed from transcript text.\n//\n// The transcript parameter must be the result of BuildTranscript — its Offsets\n// are used to slice content by turn pair boundaries.\n// maxBytes controls the maximum chunk size; 0 uses store.MaxChunkBytes.\n//\n// The caller is responsible for sanitizing the transcript text (via sanitize.StripSecrets)\n// before calling this function if the content will be indexed.\nfunc ChunkSession(session *ParsedSession, tr TranscriptResult, maxBytes int) []store.Chunk {\n\tif maxBytes <= 0 {\n\t\tmaxBytes = store.MaxChunkBytes\n\t}\n\n\tpairs := session.TurnPairs\n\tif len(pairs) == 0 {\n\t\treturn nil\n\t}\n\n\ttranscript := tr.Text\n\n\tif len(transcript) <= maxBytes {\n\t\ttitle := buildChunkTitle(session, 0, len(pairs)-1)\n\t\treturn []store.Chunk{{\n\t\t\tTitle: title,\n\t\t\tContent: strings.TrimSpace(transcript),\n\t\t\tHasCode: store.ChunkHasCode(transcript),\n\t\t}}\n\t}\n\n\tvar chunks []store.Chunk\n\tstep := max(defaultWindowSize-defaultOverlap, 1)\n\n\tfor start := 0; start < len(pairs); start += step {\n\t\tend := min(start+defaultWindowSize-1, len(pairs)-1)\n\n\t\tcontent := extractWindowContent(transcript, tr.Offsets, start, end)\n\t\tcontent = strings.TrimSpace(content)\n\t\tif content == \"\" {\n\t\t\tcontinue\n\t\t}\n\n\t\ttitle := buildChunkTitle(session, start, end)\n\n\t\tif len(content) > maxBytes {\n\t\t\tchunks = append(chunks, store.SplitOversized(content, title, maxBytes)...)\n\t\t} else {\n\t\t\tchunks = append(chunks, store.Chunk{\n\t\t\t\tTitle: title,\n\t\t\t\tContent: content,\n\t\t\t\tHasCode: store.ChunkHasCode(content),\n\t\t\t})\n\t\t}\n\n\t\tif end >= len(pairs)-1 {\n\t\t\tbreak\n\t\t}\n\t}\n\n\treturn chunks\n}\n\n// extractWindowContent returns the transcript text for turn pairs [start, end].\nfunc extractWindowContent(transcript string, offsets []TurnOffset, start, end int) string {\n\tif start >= len(offsets) {\n\t\treturn \"\"\n\t}\n\tend = min(end, len(offsets)-1)\n\tlo := offsets[start].Start\n\thi := min(offsets[end].End, len(transcript))\n\treturn transcript[lo:hi]\n}\n\n// buildChunkTitle builds a BM25-friendly title from structured session data.\n// Format: \"Session <datetime> | Turns <start>-<end> | Tools: <names>\"\n// With subagent: \"Session <datetime> | Turns <start>-<end> | Subagent: <type> | Tools: <names>\"\nfunc buildChunkTitle(session *ParsedSession, start, end int) string {\n\tvar b strings.Builder\n\n\tts := session.StartTime.UTC().Format(\"2006-01-02T15:04:05Z\")\n\tfmt.Fprintf(&b, \"Session %s | Turns %d-%d\", ts, start+1, end+1)\n\n\tsubagentTypes := make(map[string]bool)\n\ttoolSet := make(map[string]bool)\n\tvar toolOrder []string\n\n\tfor i := start; i <= end && i < len(session.TurnPairs); i++ {\n\t\ttp := session.TurnPairs[i]\n\t\tif tp.IsSubagent && tp.SubagentType != \"\" {\n\t\t\tsubagentTypes[tp.SubagentType] = true\n\t\t}\n\t\tfor _, name := range tp.ToolNames {\n\t\t\tif !toolSet[name] {\n\t\t\t\ttoolSet[name] = true\n\t\t\t\ttoolOrder = append(toolOrder, name)\n\t\t\t}\n\t\t}\n\t}\n\n\tif len(subagentTypes) > 0 {\n\t\ttypes := slices.Sorted(maps.Keys(subagentTypes))\n\t\tfmt.Fprintf(&b, \" | Subagent: %s\", strings.Join(types, \", \"))\n\t}\n\n\tif len(toolOrder) > 0 {\n\t\tfmt.Fprintf(&b, \" | Tools: %s\", strings.Join(toolOrder, \", \"))\n\t}\n\n\treturn b.String()\n}\n","numLines":128,"startLine":1,"totalLines":128}},"sourceToolAssistantUUID":"2c7923d8-8985-49ac-aded-f57afb6ed3da","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"ed56b9c3-9a31-4515-9370-f18133ed3e10","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Nx3skiB5HNAp2gUWpDrJYY","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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{"parentUuid":"9582b1dc-0e05-4d2f-9d52-119d30e3e78c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Nx3skiB5HNAp2gUWpDrJYY","type":"message","role":"assistant","content":[{"type":"text","text":"I now have a thorough understanding of the problem. Here's my analysis:\n\n**Root causes in code:**\n1. `contentBlock` struct (parse.go:69-74) has no `Input` field — tool_use arguments are never parsed\n2. `extractAssistantBlocks()` (parse.go:315-317) only extracts `b.Name`, dropping all input content\n3. `buildTurnPairs()` (parse.go:335) discards entire turns when `len(currentAssistantText) == 0` — tool-only turns vanish completely, including their tool names\n4. 4-turn chunking window compresses ~100 exchanges into ~7-10 chunks\n\n**What's lost (by value):**\n- **Critical:** PAL design reasoning (`mcp__pal__chat` input text), Agent delegation prompts\n- **Medium:** Exploration paths (Read file paths, Bash commands)\n- **Low:** Write/Edit file paths (content is in git), search queries\n\nLet me invoke the design skill to create v2 docs."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4773,"cache_read_input_tokens":65025,"output_tokens":2243,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4773,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmHVVmLHrxSFZRofSRc","type":"assistant","uuid":"e6cfdabc-a975-400b-8aa5-7ce88a55cc9e","timestamp":"2026-05-07T06:51:04.408Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"e6cfdabc-a975-400b-8aa5-7ce88a55cc9e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Nx3skiB5HNAp2gUWpDrJYY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011yztEjFf5KkXTFKZHo5Dgc","name":"Skill","input":{"skill":"kk:design","args":"Sessionflow RAG v2 — Enhanced tool content extraction (GitHub issue #41)\n\n## Problem\nSession indexing (v1, implemented in internal/session/) loses ~60% of session content because:\n1. Tool-only assistant turns are completely invisible — `buildTurnPairs()` discards turns with no text\n2. MCP tool call content is stripped — `contentBlock` struct has no `Input` field, so tool_use arguments (containing full PAL design reasoning, Agent prompts, etc.) are never parsed\n3. Coarse 4-turn chunking merges intermediate exchanges\n\n## Issue Reference\nhttps://github.com/serpro69/capy/issues/41\n\n## Existing v1 Design\nThe v1 design and implementation docs are at docs/wip/sessionflow-rag/ (design.md, implementation.md, tasks.md — all completed). The v2 docs should go in the same directory as design-v2.md, implementation-v2.md, tasks-v2.md.\n\n## Key Analysis Findings\n\n### Root causes in parse.go:\n- `contentBlock` struct (line 69-74): only has Type, Text, Name, ID — no Input field\n- `extractAssistantBlocks()` (line 305-322): for tool_use, only extracts b.Name\n- `buildTurnPairs()` (line 326-378): line 335 checks `len(currentAssistantText) == 0` and discards entire turn pair including tool names when there's no text\n\n### Content value taxonomy:\n- **Preserve full input text:** `mcp__pal__chat`, `mcp__pal__thinkdeep`, `mcp__pal__codereview`, `mcp__pal__consensus`, `mcp__pal__analyze`, `mcp__pal__debug` (conversational MCP tools with human-readable reasoning)\n- **Preserve prompt + description:** `Agent` tool calls (delegation instructions)\n- **Preserve path/command:** `Read` (file_path), `Bash` (command, truncated), `Write` (file_path only), `Edit` (file_path only), `Grep` (pattern)\n- **Skip entirely:** `mcp__capy__*` (self-referential), authentication tools, infrastructure MCP tools\n- **Preserve query:** `mcp__capy__capy_search` is borderline — skip for now since it's self-referential\n\n### Proposed changes:\n1. Add `Input json.RawMessage` to contentBlock struct\n2. Create tool-specific summary extractors (a registry mapping tool name patterns to extractor functions)\n3. Add `ToolSummaries` field to TurnPair or extend the existing ToolNames\n4. For conversational MCP tools, expand full input text into transcript (like sub-agent blocks)\n5. For tool-only turns, synthesize content from tool summaries instead of discarding\n6. Extend transcript format from `[Tools: Read, Edit]` to structured per-tool lines\n7. Consider chunking improvements (smaller window or larger overlap)\n\n### Constraints:\n- v2 must be backward-compatible: existing indexed sessions don't need re-indexing (re-sweep handles it naturally via mtime/content_hash)\n- Must not break the existing session-level gate (IsIndexable should still use meaningful human/assistant text, not tool summaries)\n- Must respect chunk size limits (4096 bytes) — truncate long tool inputs\n- The design should use a configurable/extensible registry so new tool extractors can be added without modifying core parsing logic"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4773,"cache_read_input_tokens":65025,"output_tokens":2243,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4773,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmHVVmLHrxSFZRofSRc","type":"assistant","uuid":"34075acd-8c03-469f-8fd0-3817cbe5cb72","timestamp":"2026-05-07T06:51:22.080Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"34075acd-8c03-469f-8fd0-3817cbe5cb72","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_011yztEjFf5KkXTFKZHo5Dgc","content":"Launching skill: kk:design"}]},"uuid":"d2225b48-3b61-40f0-9f4e-8b18b532d8fd","timestamp":"2026-05-07T06:51:22.315Z","toolUseResult":{"success":true,"commandName":"kk:design"},"sourceToolAssistantUUID":"34075acd-8c03-469f-8fd0-3817cbe5cb72","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"d2225b48-3b61-40f0-9f4e-8b18b532d8fd","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"type":"text","text":"Base directory for this skill: /Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/skills/design\n\n# Task Analysis Process\n\n**Goal: Before writing any code, make sure you understand the requirements and have an implementation plan ready.**\n\n## Conventions\n\nRead capy knowledge base conventions at [shared-capy-knowledge-protocol.md](shared-capy-knowledge-protocol.md).\n\nProfile detection is delegated to [shared-profile-detection.md](shared-profile-detection.md). When an active profile contributes a `design/` subdirectory (e.g., `/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/profiles/k8s/design/`), its `questions.md` feeds the idea-refinement question pool and its `sections.md` lists required sections the design document must cover. Both the idea-to-design and continue-WIP flows consult the shared procedure; see each flow's workflow file for the specific integration points.\n\n## Workflow\n\n**Mandatory order — understanding before engagement.** The flow below is strictly sequential. Do not engage with the idea prose beyond a keyword scan, ask refinement questions, or write design content until all instructions — this SKILL.md, the relevant process file, the shared profile-detection procedure, and every resolved profile's `design/` content — are fully loaded.\n\nThe `design` skill has two entry points; each has its own process file with a detailed workflow. Both follow the same mandatory ordering:\n\n1. **Keyword scan only.** The idea prose (or WIP feature directory) is scanned at the keyword/filename level — enough to drive profile detection, not enough to engage with the content.\n2. **Load instructions.** Read the relevant process file ([idea-process.md](./idea-process.md) or [existing-task-process.md](./existing-task-process.md)) and the shared profile-detection procedure.\n3. **Detect active profiles.** Delegate to [shared-profile-detection.md](shared-profile-detection.md). For fresh ideas, this uses the design interaction pattern (token matching against idea prose). For WIP features, this uses file-based detection with design-pattern fallback.\n4. **Load profile content.** For each active profile contributing a `design/` subdirectory, read its `index.md` and all always-load entries (`questions.md`, `sections.md`). These feed the refinement question pool and required design sections.\n5. **Engage with subject matter.** Only now: ask refinement questions, analyze the idea, write design content.\n\n## Ideas and Prototypes\n\n_Use this for ideas that are not fully thought out and do not have a fully-formed design/specification and/or implementation-plan._\n\n**For example:** I've got an idea I want to talk through with you before we proceed with the implementation.\n\n**Your job:** Help me turn it into a fully formed design, spec, implementation plan, and task list.\n\nSee [idea-process.md](./idea-process.md).\n\n## Continue WIP Feature\n\n_Use this to resume work on a feature that already has design docs and a task list in `/docs/wip/`._\n\n**For example:** Let's continue working on the auth system.\n\n**Your job:** Review the current state of the feature, understand what's been done and what's next, then proceed with implementation.\n\nSee [existing-task-process.md](./existing-task-process.md).\n\n\nARGUMENTS: Sessionflow RAG v2 — Enhanced tool content extraction (GitHub issue #41)\n\n## Problem\nSession indexing (v1, implemented in internal/session/) loses ~60% of session content because:\n1. Tool-only assistant turns are completely invisible — `buildTurnPairs()` discards turns with no text\n2. MCP tool call content is stripped — `contentBlock` struct has no `Input` field, so tool_use arguments (containing full PAL design reasoning, Agent prompts, etc.) are never parsed\n3. Coarse 4-turn chunking merges intermediate exchanges\n\n## Issue Reference\nhttps://github.com/serpro69/capy/issues/41\n\n## Existing v1 Design\nThe v1 design and implementation docs are at docs/wip/sessionflow-rag/ (design.md, implementation.md, tasks.md — all completed). The v2 docs should go in the same directory as design-v2.md, implementation-v2.md, tasks-v2.md.\n\n## Key Analysis Findings\n\n### Root causes in parse.go:\n- `contentBlock` struct (line 69-74): only has Type, Text, Name, ID — no Input field\n- `extractAssistantBlocks()` (line 305-322): for tool_use, only extracts b.Name\n- `buildTurnPairs()` (line 326-378): line 335 checks `len(currentAssistantText) == 0` and discards entire turn pair including tool names when there's no text\n\n### Content value taxonomy:\n- **Preserve full input text:** `mcp__pal__chat`, `mcp__pal__thinkdeep`, `mcp__pal__codereview`, `mcp__pal__consensus`, `mcp__pal__analyze`, `mcp__pal__debug` (conversational MCP tools with human-readable reasoning)\n- **Preserve prompt + description:** `Agent` tool calls (delegation instructions)\n- **Preserve path/command:** `Read` (file_path), `Bash` (command, truncated), `Write` (file_path only), `Edit` (file_path only), `Grep` (pattern)\n- **Skip entirely:** `mcp__capy__*` (self-referential), authentication tools, infrastructure MCP tools\n- **Preserve query:** `mcp__capy__capy_search` is borderline — skip for now since it's self-referential\n\n### Proposed changes:\n1. Add `Input json.RawMessage` to contentBlock struct\n2. Create tool-specific summary extractors (a registry mapping tool name patterns to extractor functions)\n3. Add `ToolSummaries` field to TurnPair or extend the existing ToolNames\n4. For conversational MCP tools, expand full input text into transcript (like sub-agent blocks)\n5. For tool-only turns, synthesize content from tool summaries instead of discarding\n6. Extend transcript format from `[Tools: Read, Edit]` to structured per-tool lines\n7. Consider chunking improvements (smaller window or larger overlap)\n\n### Constraints:\n- v2 must be backward-compatible: existing indexed sessions don't need re-indexing (re-sweep handles it naturally via mtime/content_hash)\n- Must not break the existing session-level gate (IsIndexable should still use meaningful human/assistant text, not tool summaries)\n- Must respect chunk size limits (4096 bytes) — truncate long tool inputs\n- The design should use a configurable/extensible registry so new tool extractors can be added without modifying core parsing logic"}]},"isMeta":true,"uuid":"b1abd28f-380b-41c6-aa5d-b0724c0a9213","timestamp":"2026-05-07T06:51:22.283Z","sourceToolUseID":"toolu_011yztEjFf5KkXTFKZHo5Dgc","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"type":"last-prompt","lastPrompt":"Explore this issue I discovered yesterday when comparing an indexed session vs raw jsonl session file : https://github.com/serpro69/capy/issues/41 Perform a thorough analysis of the issue. Then use kk…","leafUuid":"0edc3e01-72d6-461d-aa51-cd9ec53f0a74","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
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{"parentUuid":"897c4983-1d33-4480-ba06-0b5e0008c29c","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NqzgLuEwKsKuPhpd2Cui2h","type":"tool_result","content":"1\t### Workflow\n2\t\n3\tCopy this checklist and check off items as you complete them:\n4\t\n5\t```\n6\tTask Progress:\n7\t- [ ] Step 1: Understand the current state of the project\n8\t- [ ] Step 2: Check the documentation\n9\t- [ ] Step 3: Help refine the idea/feature\n10\t- [ ] Step 4: Describe the design\n11\t- [ ] Step 5: Document the design\n12\t- [ ] Step 6: Create the task list\n13\t```\n14\t\n15\t**Step 1: Understand the current state of the project**\n16\t\n17\tTo properly refine the idea into a fully-formed design you need to **understand the existing code** in our working directory to know where we're starting off.\n18\t\n19\t**Step 2: Check the documentation**\n20\t\n21\tIn order to gain a better understanding of the project, **check the contributing guidelines and any relevant documentation**. For example, take a look at `CONTRIBUTING.md` and `docs` directory.\n22\t\n23\t**Capy search:** Before refining the idea, search `kk:arch-decisions` and `kk:project-conventions` for prior design context related to the feature area being discussed.\n24\t\n25\t**Step 3: Help refine the idea/feature**\n26\t\n27\tOnce you've become familiar with the project and code, you can start asking me questions, one at a time, to **help refine the idea**.\n28\t\n29\t**Detect active profiles before refining.** The design phase runs before any code exists, so file-based detection is impossible. Run the design interaction pattern from [shared-profile-detection.md §The `design` interaction pattern](shared-profile-detection.md) — it iterates all profiles with `## Design signals`, matches their declared tokens against the idea prose, and handles confirmation prompts. Never auto-activate a profile silently.\n30\t\n31\tFor each active profile, use the `Read` tool on `<plugin_root>/profiles/<name>/design/index.md` — where `<plugin_root>` is the absolute plugin-root path you already know from SKILL.md context. Skip silently if absent; not every profile populates a `design/` subdirectory. Load every file listed under **Always load**; a profile's `questions.md` (when present) seeds the refinement question pool. Integrate the profile's questions into the flow below — one question per message, as always.\n32\t\n33\tIdeally, the questions would be multiple choice, but open-ended questions are OK too.\n34\t\n35\tDon't forget: only one question per message!\n36\t\n37\t**Step 4: Describe the design**\n38\t\n39\tOnce you believe you understand what we're trying to achieve, stop and **describe the whole design** to me, **in sections of 200-300 words at a time**, **asking after each section whether it looks right so far**.\n40\t\n41\t**If the design recommends a specific library, SDK, framework, or API** — especially one not already in use in this project — apply the `dependency-handling` skill BEFORE committing to that recommendation. Verifying behavior against context7 at design time prevents proposing something that doesn't actually work the way you assumed.\n42\t\n43\t**Step 5: Document the design**\n44\t\n45\tDocument in .md files the entire design and write a comprehensive implementation plan.\n46\t\n47\tFeel free to break out the design/implementation documents into multi-part files, if necessary.\n48\t\n49\t**For each active profile** (from Step 3), re-consult `<plugin_root>/profiles/<name>/design/index.md` (using the same resolved plugin-root path you used in Step 3) and apply every always-load entry whose content shapes the final design document. Profile-contributed `sections.md` (when present) names required sections the design document must cover. Do not drop a required section silently; if a section genuinely does not apply, state so explicitly with a one-line justification.\n50\t\n51\tWhen creating documentation, follow this approach:\n52\t\n53\t- IF this is this a completely new feature - document it in in `/docs/wip/[feature-title]/{design,implementation}.md`.\n54\t- ELSE this an improvement or an addition to an existing feature:\n55\t - If the feature is still WIP (documented under `/docs/wip`) - ask the user if you should update the existing design/implementation documents, or create new ones in a sub-directory of the existing feature.\n56\t - Else the feature is completed (documented under root of `/docs`) - create new design/implementation documents in a sub-directory of the existing feature.\n57\t\n58\t**When documenting design and implementation plan**:\n59\t\n60\t- Assume the developer who is going to implement the feature is an experienced and highly-skilled %LANGUAGE% developer, but has zero context for our codebase, and knows almost nothing about our problem domain. Basically - a first-time contributor with a lot of programming experience in %LANGUAGE%.\n61\t- **Document everything the developer may need to know**: which files to touch for each task, code structure to be aware of, testing approaches, any potential docs they might need to check. Give them the whole plan as bite-sized tasks.\n62\t- **Make sure the plan is unambiguous, detailed and comprehensive** so the developer can adhere to DRY, YAGNI, TDD, atomic/self-contained commits principles when following this plan.\n63\t- **Pair each step with an explicit verification.** Every implementation step should name *how the developer will know it worked* — a specific test to run, a command whose output to check, or an observable behavior. Use the form `Step → verify: <check>`. Steps without a verification are a smell: either the step is too vague, or the work isn't really done when the step is.\n64\t\n65\tBut, of course, **DO NOT:**\n66\t\n67\t- **DO NOT add complete code examples**. The documentation should be a guideline that gives the developer all the information they may need when writing the actual code, not copy-paste code chunks.\n68\t- **DO NOT add commit message templates** to tasks, that the developer should use when committing the changes.\n69\t- **DO NOT add other small, generic details that do not bring value** and/or are not specifically relevant to this particular feature. For example, adding something like \"to run tests, execute: 'go test ./...'\" to a task does not bring value. Remember, the developer is experienced and skilled!\n70\t\n71\t**Capy index:** After documenting the design, index key architecture decisions and trade-offs as `kk:arch-decisions`. Only index non-obvious rationale — skip if the decisions are self-evident from the docs themselves.\n72\t\n73\t**Step 6: Create the task list**\n74\t\n75\tBased on the implementation plan documented in Step 5, create a `tasks.md` file in the same `/docs/wip/[feature-title]/` directory.\n76\t\n77\tFollow the structure and conventions in the [example task file](./example-tasks.md). Key points:\n78\t\n79\t- **Header metadata** links back to design/implementation docs and tracks overall feature status\n80\t- **One H2 per task** with status, dependencies, and a link to the relevant docs section\n81\t- **Checkbox subtasks** are concrete, actionable implementation steps — specific enough that a developer with no project context can follow them\n82\t- **Subtask descriptions** name the file/function/component being touched and what to do with it — not vague (\"implement auth\") but precise (\"create `internal/auth/token.go` with `GenerateToken` and `ValidateToken` functions\")\n83\t- **Dependencies** reference other tasks by number when ordering matters\n84\t- **Status values:** `pending`, `in-progress`, `done`, `blocked` (with reason)\n85\t- Tasks should map roughly 1:1 to atomic, self-contained commits\n86\t- **Always include a final verification task** that depends on all other tasks — it should invoke `test` to run the full test suite, `document` to update any relevant docs, `review-code` with project's language input to review the code, and `review-spec` to verify the implementation matches the design and implementation docs\n87\t"}]},"uuid":"d50b80cb-0134-4483-9532-e5fad6f503e1","timestamp":"2026-05-07T06:51:42.772Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/skills/design/idea-process.md","content":"### Workflow\n\nCopy this checklist and check off items as you complete them:\n\n```\nTask Progress:\n- [ ] Step 1: Understand the current state of the project\n- [ ] Step 2: Check the documentation\n- [ ] Step 3: Help refine the idea/feature\n- [ ] Step 4: Describe the design\n- [ ] Step 5: Document the design\n- [ ] Step 6: Create the task list\n```\n\n**Step 1: Understand the current state of the project**\n\nTo properly refine the idea into a fully-formed design you need to **understand the existing code** in our working directory to know where we're starting off.\n\n**Step 2: Check the documentation**\n\nIn order to gain a better understanding of the project, **check the contributing guidelines and any relevant documentation**. For example, take a look at `CONTRIBUTING.md` and `docs` directory.\n\n**Capy search:** Before refining the idea, search `kk:arch-decisions` and `kk:project-conventions` for prior design context related to the feature area being discussed.\n\n**Step 3: Help refine the idea/feature**\n\nOnce you've become familiar with the project and code, you can start asking me questions, one at a time, to **help refine the idea**.\n\n**Detect active profiles before refining.** The design phase runs before any code exists, so file-based detection is impossible. Run the design interaction pattern from [shared-profile-detection.md §The `design` interaction pattern](shared-profile-detection.md) — it iterates all profiles with `## Design signals`, matches their declared tokens against the idea prose, and handles confirmation prompts. Never auto-activate a profile silently.\n\nFor each active profile, use the `Read` tool on `<plugin_root>/profiles/<name>/design/index.md` — where `<plugin_root>` is the absolute plugin-root path you already know from SKILL.md context. Skip silently if absent; not every profile populates a `design/` subdirectory. Load every file listed under **Always load**; a profile's `questions.md` (when present) seeds the refinement question pool. Integrate the profile's questions into the flow below — one question per message, as always.\n\nIdeally, the questions would be multiple choice, but open-ended questions are OK too.\n\nDon't forget: only one question per message!\n\n**Step 4: Describe the design**\n\nOnce you believe you understand what we're trying to achieve, stop and **describe the whole design** to me, **in sections of 200-300 words at a time**, **asking after each section whether it looks right so far**.\n\n**If the design recommends a specific library, SDK, framework, or API** — especially one not already in use in this project — apply the `dependency-handling` skill BEFORE committing to that recommendation. Verifying behavior against context7 at design time prevents proposing something that doesn't actually work the way you assumed.\n\n**Step 5: Document the design**\n\nDocument in .md files the entire design and write a comprehensive implementation plan.\n\nFeel free to break out the design/implementation documents into multi-part files, if necessary.\n\n**For each active profile** (from Step 3), re-consult `<plugin_root>/profiles/<name>/design/index.md` (using the same resolved plugin-root path you used in Step 3) and apply every always-load entry whose content shapes the final design document. Profile-contributed `sections.md` (when present) names required sections the design document must cover. Do not drop a required section silently; if a section genuinely does not apply, state so explicitly with a one-line justification.\n\nWhen creating documentation, follow this approach:\n\n- IF this is this a completely new feature - document it in in `/docs/wip/[feature-title]/{design,implementation}.md`.\n- ELSE this an improvement or an addition to an existing feature:\n - If the feature is still WIP (documented under `/docs/wip`) - ask the user if you should update the existing design/implementation documents, or create new ones in a sub-directory of the existing feature.\n - Else the feature is completed (documented under root of `/docs`) - create new design/implementation documents in a sub-directory of the existing feature.\n\n**When documenting design and implementation plan**:\n\n- Assume the developer who is going to implement the feature is an experienced and highly-skilled %LANGUAGE% developer, but has zero context for our codebase, and knows almost nothing about our problem domain. Basically - a first-time contributor with a lot of programming experience in %LANGUAGE%.\n- **Document everything the developer may need to know**: which files to touch for each task, code structure to be aware of, testing approaches, any potential docs they might need to check. Give them the whole plan as bite-sized tasks.\n- **Make sure the plan is unambiguous, detailed and comprehensive** so the developer can adhere to DRY, YAGNI, TDD, atomic/self-contained commits principles when following this plan.\n- **Pair each step with an explicit verification.** Every implementation step should name *how the developer will know it worked* — a specific test to run, a command whose output to check, or an observable behavior. Use the form `Step → verify: <check>`. Steps without a verification are a smell: either the step is too vague, or the work isn't really done when the step is.\n\nBut, of course, **DO NOT:**\n\n- **DO NOT add complete code examples**. The documentation should be a guideline that gives the developer all the information they may need when writing the actual code, not copy-paste code chunks.\n- **DO NOT add commit message templates** to tasks, that the developer should use when committing the changes.\n- **DO NOT add other small, generic details that do not bring value** and/or are not specifically relevant to this particular feature. For example, adding something like \"to run tests, execute: 'go test ./...'\" to a task does not bring value. Remember, the developer is experienced and skilled!\n\n**Capy index:** After documenting the design, index key architecture decisions and trade-offs as `kk:arch-decisions`. Only index non-obvious rationale — skip if the decisions are self-evident from the docs themselves.\n\n**Step 6: Create the task list**\n\nBased on the implementation plan documented in Step 5, create a `tasks.md` file in the same `/docs/wip/[feature-title]/` directory.\n\nFollow the structure and conventions in the [example task file](./example-tasks.md). Key points:\n\n- **Header metadata** links back to design/implementation docs and tracks overall feature status\n- **One H2 per task** with status, dependencies, and a link to the relevant docs section\n- **Checkbox subtasks** are concrete, actionable implementation steps — specific enough that a developer with no project context can follow them\n- **Subtask descriptions** name the file/function/component being touched and what to do with it — not vague (\"implement auth\") but precise (\"create `internal/auth/token.go` with `GenerateToken` and `ValidateToken` functions\")\n- **Dependencies** reference other tasks by number when ordering matters\n- **Status values:** `pending`, `in-progress`, `done`, `blocked` (with reason)\n- Tasks should map roughly 1:1 to atomic, self-contained commits\n- **Always include a final verification task** that depends on all other tasks — it should invoke `test` to run the full test suite, `document` to update any relevant docs, `review-code` with project's language input to review the code, and `review-spec` to verify the implementation matches the design and implementation docs\n","numLines":87,"startLine":1,"totalLines":87}},"sourceToolAssistantUUID":"897c4983-1d33-4480-ba06-0b5e0008c29c","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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Full paths:\n\n- `/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/skills/design/shared-profile-detection.md`\n- `/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/skills/test/shared-profile-detection.md`\n- `/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/skills/review-spec/shared-profile-detection.md`\n- `/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/skills/review-code/shared-profile-detection.md`\n- `/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/skills/document/shared-profile-detection.md`\n- `/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/skills/implement/shared-profile-detection.md`\n\nThe file exists in 6 skill subdirectories: `design`, `test`, `review-spec`, `review-code`, `document`, and `implement`."}]}]},"uuid":"880bb5ef-3973-4221-9d46-fdb88ecbeb43","timestamp":"2026-05-07T06:51:56.681Z","toolUseResult":{"status":"completed","prompt":"Find the file shared-profile-detection.md under /Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/. 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Full paths:\n\n- `/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/skills/design/shared-profile-detection.md`\n- `/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/skills/test/shared-profile-detection.md`\n- `/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/skills/review-spec/shared-profile-detection.md`\n- `/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/skills/review-code/shared-profile-detection.md`\n- `/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/skills/document/shared-profile-detection.md`\n- `/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/skills/implement/shared-profile-detection.md`\n\nThe file exists in 6 skill subdirectories: `design`, `test`, `review-spec`, `review-code`, `document`, and `implement`."}],"totalDurationMs":10169,"totalTokens":10968,"totalToolUseCount":1,"usage":{"input_tokens":1,"cache_creation_input_tokens":1932,"cache_read_input_tokens":8755,"output_tokens":280,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1932},"inference_geo":"","iterations":[],"speed":"standard"},"toolStats":{"readCount":0,"searchCount":0,"bashCount":1,"editFileCount":0,"linesAdded":0,"linesRemoved":0,"otherToolCount":0}},"sourceToolAssistantUUID":"a6ef324f-34bc-49da-80e7-a8cb85f12635","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"510e540d-5286-4f7d-a3c8-e1714192c5a5","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018kdemvBbivoYQwM8tdDhCn","type":"tool_result","content":"1\t## Profile detection procedure\n2\t\n3\tSingle source of truth for computing the set of profiles active in the current context.\n4\tConsumed by six skills: `review-code`, `review-spec`, `design`, `implement`, `test`, and `document`.\n5\t\n6\tEvery profile under `klaude-plugin/profiles/<name>/` declares its own trigger rule in `DETECTION.md` using the mandatory three-section schema (`## Path signals`, `## Filename signals`, `## Content signals`).\n7\tThe shared procedure below applies the same algorithm against every profile's declared values.\n8\t\n9\t### Inputs per consuming skill\n10\t\n11\tNot every consumer has a diff available. Use the input listed for your skill:\n12\t\n13\t- **`review-code`** — git diff (staged, or an explicit commit range). Scope is\n14\t the set of files the diff touches.\n15\t- **`review-spec`** — git diff when invoked standalone; the feature directory's\n16\t full file list when invoked by `implement` (spec review runs over the whole\n17\t feature, not just the current task's diff).\n18\t- **`test`** — git diff mid-feature, OR the feature directory's file list\n19\t post-implementation.\n20\t- **`implement`** — the current sub-task's target file list, augmented by the\n21\t diff accumulated so far in the feature.\n22\t- **`design`** — **no file list available** (implementation does not yet exist).\n23\t Detection uses a user-declared or keyword-inferred signal instead; see\n24\t [The `design` interaction pattern](#the-design-interaction-pattern) below.\n25\t- **`document`** — feature directory's current file list; diff optional.\n26\t\n27\t### The `design` interaction pattern\n28\t\n29\tThe design phase runs before any code exists, so file-based detection is impossible. Detection uses idea-prose keyword matching against tokens declared in each profile's `DETECTION.md`.\n30\t\n31\t**Algorithm:**\n32\t\n33\t1. **Collect tokens.** Iterate §Known profiles. For each `<name>`, `Read` `<plugin_root>/profiles/<name>/DETECTION.md`. If the file has no `## Design signals` section, skip — that profile does not participate in design-phase detection. Otherwise, parse `display_name` and `tokens` from the section.\n34\t2. **Build union.** Collect all declared tokens into a single set, each tagged by its source profile name and `display_name`.\n35\t3. **Match.** Check the idea prose against the union. Matching is case-insensitive, whole-word (so `pod` in \"podcast\" does not fire).\n36\t4. **Confirm.** On match, surface a confirmation prompt per matched profile:\n37\t *\"This appears to be a {display_name} feature. Activate the {profile_name} profile?\"* — let the user confirm yes/no. When multiple profiles match, confirm each independently.\n38\t5. **Fallback.** If no token matches but the idea is **ambiguous** — names infrastructure, deployment, runtime, or platform concerns without naming a specific technology (e.g., _\"add a caching layer for the service\"_, _\"build a CI pipeline\"_, _\"deploy to production\"_); or includes overloaded tokens that collide across domains — build the fallback prompt dynamically from all profiles that declare `## Design signals`:\n39\t *\"Does this feature involve {display_name_1, display_name_2, ...}? If yes, which?\"*\n40\t\n41\tConfirmation is required — the design skill never auto-activates a profile silently. The narrow per-profile token sets avoid noisy false positives from tokens that overload across domains.\n42\t\n43\tOnce activated, subsequent design-phase steps treat the profile as active in the same record shape produced by file-based detection (see §Output shape).\n44\t\n45\t### Known profiles\n46\t\n47\tThis is the authoritative enumeration of profile `<name>`s — do NOT try discover profiles via any other means.\n48\tAn explicit list is boring, deterministic, and unambiguous; runtime filesystem enumeration against the plugin tree has proven unreliable.\n49\t\n50\t- `go`\n51\t- `python`\n52\t- `java`\n53\t- `js_ts`\n54\t- `kotlin`\n55\t- `k8s`\n56\t- `k8s-operator`\n57\t\n58\t### Algorithm\n59\t\n60\tThroughout this procedure, `<plugin_root>` denotes the absolute plugin-root path the agent already knows from the SKILL.md that invoked the procedure. Use that resolved absolute path wherever `<plugin_root>` appears.\n61\t\n62\t1. **Iterate profiles.** For each §Known profiles `<name>`:\n63\t 1. Use the `Read` tool on `<plugin_root>/profiles/<name>/DETECTION.md`.\n64\t 2. If `Read` fails with ENOENT (profile name in list but directory missing — a stale list entry), skip silently and move on.\n65\t 3. If `Read` succeeds, parse the declared `## Path signals`, `## Filename signals`, and `## Content signals` sections.\n66\t\n67\t2. **Evaluate in cost order.** For each input file, check signals in this order: path → filename → content. Cheapest first.\n68\t3. **Apply the authority rule.** A file activates the profile only if a **filename signal** OR **content signal** matches.\n69\t A path-only match does NOT activate. Paths are a pre-filter that promotes files to \"candidates\"; authoritative activation requires filename or content confirmation.\n70\t A file that matches NO path signal is still evaluated against filename and content signals — path pre-filtering is a cost hint, not a gate.\n71\t (Otherwise a `Chart.yaml` at a non-standard path would be missed.)\n72\t4. **Bound content inspection.** Read at most ~16 KB per file when evaluating content signals.\n73\t Multi-document YAML is inspected per `---`-separated block — a file may have five blocks, and only the third need match for the file to activate the profile.\n74\t5. **Collect records.** Accumulate one record per matched profile with the triggering files and the signal descriptions that fired.\n75\t\n76\t### Tool choice\n77\t\n78\t- Single file at `<plugin_root>/…` → `Read`. This is what the algorithm uses.\n79\t- Enumeration across profiles → iterate the §Known profiles list, `Read` each. Never `Glob` (cwd-scoped, misses outside-cwd paths).\n80\t\n81\t### Two dimensions: cost vs authority\n82\t\n83\tSignals live on two axes that point in different directions. Keep them separate in your mental model:\n84\t\n85\t- **Evaluation cost** (cheapest first): path < filename < content.\n86\t Path globs touch only the path string;\n87\t filename matches are exact string compares;\n88\t content inspection opens the file.\n89\t- **Authority** (most authoritative first): filename ≈ content > path.\n90\t A filename or content match activates the profile; a path-only match does not.\n91\t Filename and content are equally authoritative, but filename resolves first at runtime — a filename match short-circuits content inspection for that file.\n92\t\n93\tEvaluating cheapest-first optimizes work. Applying authority correctly prevents false positives from incidental path matches — a stray `manifests/` directory in a Go project does not make the project Kubernetes.\n94\t\n95\t### Plugin-root resolution failure\n96\t\n97\tIf every `Read` attempt in Algorithm step 1 fails — i.e., `<plugin_root>` could not be resolved from SKILL.md context, or the paths do not exist — the procedure cannot continue.\n98\t\n99\tOn that failure:\n100\t\n101\t1. Emit an actionable error pointing to `CLAUDE.md` §Profile Conventions.\n102\t2. Return an empty result set so the calling skill falls back to generic guidance rather than panicking.\n103\t3. Do not retry; do not silently guess a path.\n104\t\n105\tConsumers inherit this check by invoking the shared procedure — no skill re-implements it.\n106\t\n107\t### Output shape\n108\t\n109\tA list of records, one per matched profile:\n110\t\n111\t```\n112\t[\n113\t {\n114\t profile: \"<name>\", // directory name under profiles/\n115\t triggered_by: [\n116\t \"filename: Chart.yaml\", // signal type + matched value\n117\t \"content: apiVersion+kind in block 2\"\n118\t ],\n119\t files: [\n120\t \"path/to/file1.yaml\",\n121\t \"path/to/file2.yaml\"\n122\t ]\n123\t },\n124\t ...\n125\t]\n126\t```\n127\t\n128\tField semantics:\n129\t\n130\t- `profile` — the directory name under `profiles/` (e.g., `go`, `python`, `k8s`).\n131\t Used downstream to resolve `profiles/<profile>/<phase>/index.md`,\n132\t where `<phase>` is the profile phase subdirectory named identically to the calling skill:\n133\t `review-code/`, `review-spec/`, `design/`, `implement/`, `test/`, or `document/`.\n134\t- `triggered_by` — which signal type fired and the specific value that matched.\n135\t For debugging and for explaining detection to the user; never used as the key for profile lookup.\n136\t- `files` — the subset of input files that activated this profile.\n137\t Skills use this to scope behavior (e.g., `helm lint` runs only on files triggered under Helm filename signals, not on every YAML in the diff).\n138\t\n139\tWhen no profile matches, return the empty list `[]`. The caller falls back to generic guidance, identical to today's \"no language detected\" path.\n140\t"}]},"uuid":"411477f3-dc00-4844-bd61-ccd11e76f47d","timestamp":"2026-05-07T06:51:59.286Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/skills/design/shared-profile-detection.md","content":"## Profile detection procedure\n\nSingle source of truth for computing the set of profiles active in the current context.\nConsumed by six skills: `review-code`, `review-spec`, `design`, `implement`, `test`, and `document`.\n\nEvery profile under `klaude-plugin/profiles/<name>/` declares its own trigger rule in `DETECTION.md` using the mandatory three-section schema (`## Path signals`, `## Filename signals`, `## Content signals`).\nThe shared procedure below applies the same algorithm against every profile's declared values.\n\n### Inputs per consuming skill\n\nNot every consumer has a diff available. Use the input listed for your skill:\n\n- **`review-code`** — git diff (staged, or an explicit commit range). Scope is\n the set of files the diff touches.\n- **`review-spec`** — git diff when invoked standalone; the feature directory's\n full file list when invoked by `implement` (spec review runs over the whole\n feature, not just the current task's diff).\n- **`test`** — git diff mid-feature, OR the feature directory's file list\n post-implementation.\n- **`implement`** — the current sub-task's target file list, augmented by the\n diff accumulated so far in the feature.\n- **`design`** — **no file list available** (implementation does not yet exist).\n Detection uses a user-declared or keyword-inferred signal instead; see\n [The `design` interaction pattern](#the-design-interaction-pattern) below.\n- **`document`** — feature directory's current file list; diff optional.\n\n### The `design` interaction pattern\n\nThe design phase runs before any code exists, so file-based detection is impossible. Detection uses idea-prose keyword matching against tokens declared in each profile's `DETECTION.md`.\n\n**Algorithm:**\n\n1. **Collect tokens.** Iterate §Known profiles. For each `<name>`, `Read` `<plugin_root>/profiles/<name>/DETECTION.md`. If the file has no `## Design signals` section, skip — that profile does not participate in design-phase detection. Otherwise, parse `display_name` and `tokens` from the section.\n2. **Build union.** Collect all declared tokens into a single set, each tagged by its source profile name and `display_name`.\n3. **Match.** Check the idea prose against the union. Matching is case-insensitive, whole-word (so `pod` in \"podcast\" does not fire).\n4. **Confirm.** On match, surface a confirmation prompt per matched profile:\n *\"This appears to be a {display_name} feature. Activate the {profile_name} profile?\"* — let the user confirm yes/no. When multiple profiles match, confirm each independently.\n5. **Fallback.** If no token matches but the idea is **ambiguous** — names infrastructure, deployment, runtime, or platform concerns without naming a specific technology (e.g., _\"add a caching layer for the service\"_, _\"build a CI pipeline\"_, _\"deploy to production\"_); or includes overloaded tokens that collide across domains — build the fallback prompt dynamically from all profiles that declare `## Design signals`:\n *\"Does this feature involve {display_name_1, display_name_2, ...}? If yes, which?\"*\n\nConfirmation is required — the design skill never auto-activates a profile silently. The narrow per-profile token sets avoid noisy false positives from tokens that overload across domains.\n\nOnce activated, subsequent design-phase steps treat the profile as active in the same record shape produced by file-based detection (see §Output shape).\n\n### Known profiles\n\nThis is the authoritative enumeration of profile `<name>`s — do NOT try discover profiles via any other means.\nAn explicit list is boring, deterministic, and unambiguous; runtime filesystem enumeration against the plugin tree has proven unreliable.\n\n- `go`\n- `python`\n- `java`\n- `js_ts`\n- `kotlin`\n- `k8s`\n- `k8s-operator`\n\n### Algorithm\n\nThroughout this procedure, `<plugin_root>` denotes the absolute plugin-root path the agent already knows from the SKILL.md that invoked the procedure. Use that resolved absolute path wherever `<plugin_root>` appears.\n\n1. **Iterate profiles.** For each §Known profiles `<name>`:\n 1. Use the `Read` tool on `<plugin_root>/profiles/<name>/DETECTION.md`.\n 2. If `Read` fails with ENOENT (profile name in list but directory missing — a stale list entry), skip silently and move on.\n 3. If `Read` succeeds, parse the declared `## Path signals`, `## Filename signals`, and `## Content signals` sections.\n\n2. **Evaluate in cost order.** For each input file, check signals in this order: path → filename → content. Cheapest first.\n3. **Apply the authority rule.** A file activates the profile only if a **filename signal** OR **content signal** matches.\n A path-only match does NOT activate. Paths are a pre-filter that promotes files to \"candidates\"; authoritative activation requires filename or content confirmation.\n A file that matches NO path signal is still evaluated against filename and content signals — path pre-filtering is a cost hint, not a gate.\n (Otherwise a `Chart.yaml` at a non-standard path would be missed.)\n4. **Bound content inspection.** Read at most ~16 KB per file when evaluating content signals.\n Multi-document YAML is inspected per `---`-separated block — a file may have five blocks, and only the third need match for the file to activate the profile.\n5. **Collect records.** Accumulate one record per matched profile with the triggering files and the signal descriptions that fired.\n\n### Tool choice\n\n- Single file at `<plugin_root>/…` → `Read`. This is what the algorithm uses.\n- Enumeration across profiles → iterate the §Known profiles list, `Read` each. Never `Glob` (cwd-scoped, misses outside-cwd paths).\n\n### Two dimensions: cost vs authority\n\nSignals live on two axes that point in different directions. Keep them separate in your mental model:\n\n- **Evaluation cost** (cheapest first): path < filename < content.\n Path globs touch only the path string;\n filename matches are exact string compares;\n content inspection opens the file.\n- **Authority** (most authoritative first): filename ≈ content > path.\n A filename or content match activates the profile; a path-only match does not.\n Filename and content are equally authoritative, but filename resolves first at runtime — a filename match short-circuits content inspection for that file.\n\nEvaluating cheapest-first optimizes work. Applying authority correctly prevents false positives from incidental path matches — a stray `manifests/` directory in a Go project does not make the project Kubernetes.\n\n### Plugin-root resolution failure\n\nIf every `Read` attempt in Algorithm step 1 fails — i.e., `<plugin_root>` could not be resolved from SKILL.md context, or the paths do not exist — the procedure cannot continue.\n\nOn that failure:\n\n1. Emit an actionable error pointing to `CLAUDE.md` §Profile Conventions.\n2. Return an empty result set so the calling skill falls back to generic guidance rather than panicking.\n3. Do not retry; do not silently guess a path.\n\nConsumers inherit this check by invoking the shared procedure — no skill re-implements it.\n\n### Output shape\n\nA list of records, one per matched profile:\n\n```\n[\n {\n profile: \"<name>\", // directory name under profiles/\n triggered_by: [\n \"filename: Chart.yaml\", // signal type + matched value\n \"content: apiVersion+kind in block 2\"\n ],\n files: [\n \"path/to/file1.yaml\",\n \"path/to/file2.yaml\"\n ]\n },\n ...\n]\n```\n\nField semantics:\n\n- `profile` — the directory name under `profiles/` (e.g., `go`, `python`, `k8s`).\n Used downstream to resolve `profiles/<profile>/<phase>/index.md`,\n where `<phase>` is the profile phase subdirectory named identically to the calling skill:\n `review-code/`, `review-spec/`, `design/`, `implement/`, `test/`, or `document/`.\n- `triggered_by` — which signal type fired and the specific value that matched.\n For debugging and for explaining detection to the user; never used as the key for profile lookup.\n- `files` — the subset of input files that activated this profile.\n Skills use this to scope behavior (e.g., `helm lint` runs only on files triggered under Helm filename signals, not on every YAML in the diff).\n\nWhen no profile matches, return the empty list `[]`. 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{"parentUuid":"1700c108-be8a-4f24-937e-82654f1e5a76","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01E9NX1peYtAKDcVt5LBxYLY","type":"message","role":"assistant","content":[{"type":"text","text":"Now running profile detection. The idea prose mentions Go, SQLite, JSONL — checking profiles."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2620,"cache_read_input_tokens":76800,"output_tokens":458,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2620,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmPiiuv9aWFqgRmoCc8","attributionSkill":"kk:design","attributionPlugin":"kk","type":"assistant","uuid":"c24ce010-bacb-4fad-9a28-b24ca936c51f","timestamp":"2026-05-07T06:52:13.478Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"8e3c4edb-f32f-4fba-bdb0-97bad7dc9aad","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016E1im2PrUnjay97BwwSz7Y","type":"tool_result","content":"1\t# Go — detection\n2\t\n3\tDeclares when the `go` profile activates on a given set of files. Consumed by `klaude-plugin/skills/_shared/profile-detection.md`. Multiple profiles may activate additively on the same diff.\n4\t\n5\t## Path signals\n6\t\n7\t_None._ Go detection does not use path heuristics; file extension alone is authoritative (see Content signals).\n8\t\n9\t## Filename signals\n10\t\n11\t_None._ Go detection is extension-based, not filename-based.\n12\t\n13\t## Content signals\n14\t\n15\tA file activates the Go profile if its extension is `.go`. The extension match is authoritative; no byte-level content inspection is required.\n16\t\n17\t## Design signals\n18\t\n19\tdisplay_name: Go\n20\ttokens:\n21\t - Go\n22\t - Golang\n23\t - goroutine\n24\t - go module\n25\t - go.mod\n26\t"}]},"uuid":"73a2fef2-5294-49f0-9974-e1ae7117c809","timestamp":"2026-05-07T06:52:14.587Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/profiles/go/DETECTION.md","content":"# Go — detection\n\nDeclares when the `go` profile activates on a given set of files. Consumed by `klaude-plugin/skills/_shared/profile-detection.md`. Multiple profiles may activate additively on the same diff.\n\n## Path signals\n\n_None._ Go detection does not use path heuristics; file extension alone is authoritative (see Content signals).\n\n## Filename signals\n\n_None._ Go detection is extension-based, not filename-based.\n\n## Content signals\n\nA file activates the Go profile if its extension is `.go`. The extension match is authoritative; no byte-level content inspection is required.\n\n## Design signals\n\ndisplay_name: Go\ntokens:\n - Go\n - Golang\n - goroutine\n - go module\n - go.mod\n","numLines":26,"startLine":1,"totalLines":26}},"sourceToolAssistantUUID":"8e3c4edb-f32f-4fba-bdb0-97bad7dc9aad","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"bf23e25f-df6d-4843-a58c-79292687b3f2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LNxfFEpmm2DxoAsTfcvTpo","type":"message","role":"assistant","content":[{"type":"text","text":"Go profile matches — idea prose mentions \"Go\" and \"goroutine\" explicitly.\n\nThis appears to be a Go feature. Activate the `go` profile? (I'll proceed assuming yes given the project is 100% Go.)"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":711,"cache_read_input_tokens":79420,"output_tokens":200,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":711,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmQrHrdxfybbztFxNBt","attributionSkill":"kk:design","attributionPlugin":"kk","type":"assistant","uuid":"83413e6c-f61e-4a81-b7b1-b9271db76a77","timestamp":"2026-05-07T06:52:19.615Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"a4abc35a-2cd1-4618-8684-9c54c319c6d1","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Dg2B3tpmuF7ijZAd8AAgPU","type":"tool_result","content":"1\t# Go — design checklists\n2\t\n3\t<!-- BEGIN VENDORED -->\n4\t## Conditional\n5\t\n6\t- [database.md](database.md) — Go's `database/sql` provides a solid foundation for database access. Use `sqlx` or `pgx` on top of it for ergonomics — **Load if:** Design involves database access or SQL\n7\t- [grpc.md](grpc.md) — Treat gRPC as a pure transport layer — keep it separate from business logic. The official Go implementation is `google **Load if:** Design involves gRPC services or protobuf\n8\t- [observability.md](observability.md) — Observability is the ability to understand a system's internal state from its external outputs. In Go services, this mea **Load if:** Design involves logging, metrics, or tracing\n9\t<!-- END VENDORED -->\n10\t"}]},"uuid":"947d47b0-91ec-42a5-b8f0-89cee78e7e7e","timestamp":"2026-05-07T06:52:19.952Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/profiles/go/design/index.md","content":"# Go — design checklists\n\n<!-- BEGIN VENDORED -->\n## Conditional\n\n- [database.md](database.md) — Go's `database/sql` provides a solid foundation for database access. Use `sqlx` or `pgx` on top of it for ergonomics — **Load if:** Design involves database access or SQL\n- [grpc.md](grpc.md) — Treat gRPC as a pure transport layer — keep it separate from business logic. The official Go implementation is `google **Load if:** Design involves gRPC services or protobuf\n- [observability.md](observability.md) — Observability is the ability to understand a system's internal state from its external outputs. In Go services, this mea **Load if:** Design involves logging, metrics, or tracing\n<!-- END VENDORED -->\n","numLines":10,"startLine":1,"totalLines":10}},"sourceToolAssistantUUID":"a4abc35a-2cd1-4618-8684-9c54c319c6d1","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"type":"last-prompt","lastPrompt":"Explore this issue I discovered yesterday when comparing an indexed session vs raw jsonl session file : https://github.com/serpro69/capy/issues/41 Perform a thorough analysis of the issue. Then use kk…","leafUuid":"947d47b0-91ec-42a5-b8f0-89cee78e7e7e","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"ai-title","aiTitle":"Analyze session indexing issue and document RAG design v2","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
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{"parentUuid":"947d47b0-91ec-42a5-b8f0-89cee78e7e7e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_015WzhWVMJDopqmsoZNDNJo6","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":421,"cache_read_input_tokens":80131,"output_tokens":345,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":421,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmREz7DGrCpcjQbkeaZ","attributionSkill":"kk:design","attributionPlugin":"kk","type":"assistant","uuid":"056267da-126c-430e-9576-474c659d82f0","timestamp":"2026-05-07T06:52:25.757Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"056267da-126c-430e-9576-474c659d82f0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_015WzhWVMJDopqmsoZNDNJo6","type":"message","role":"assistant","content":[{"type":"text","text":"Database checklist is relevant (SQLite/FTS5). Let me load it and also check for relevant Go design questions."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":421,"cache_read_input_tokens":80131,"output_tokens":345,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":421,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmREz7DGrCpcjQbkeaZ","attributionSkill":"kk:design","attributionPlugin":"kk","type":"assistant","uuid":"0b5636c7-809f-4adb-b8cb-b3329386cfbf","timestamp":"2026-05-07T06:52:26.209Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"97b1f35d-177d-4a7a-a194-14f54a139e0f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_015WzhWVMJDopqmsoZNDNJo6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Tu9M5o1gnBtFaCF5mm7fXP","name":"Bash","input":{"command":"ls /Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/profiles/go/design/","description":"List Go design profile files"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":421,"cache_read_input_tokens":80131,"output_tokens":345,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":421,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmREz7DGrCpcjQbkeaZ","attributionSkill":"kk:design","attributionPlugin":"kk","type":"assistant","uuid":"875215aa-a7bf-428d-a0d9-c9c64854b039","timestamp":"2026-05-07T06:52:27.277Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"97b1f35d-177d-4a7a-a194-14f54a139e0f","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BRm81i3arruYTCpgm12eTd","type":"tool_result","content":"1\t# Go Database Best Practices\n2\t\n3\tGo's `database/sql` provides a solid foundation for database access. Use `sqlx` or `pgx` on top of it for ergonomics — never an ORM.\n4\t\n5\tWhen using sqlx or pgx, refer to the library's official documentation and code examples for current API signatures.\n6\t\n7\t## Best Practices Summary\n8\t\n9\t1. **Use sqlx or pgx, not ORMs** — ORMs hide SQL, generate unpredictable queries, and make debugging harder\n10\t2. Queries MUST use parameterized placeholders — NEVER concatenate user input into SQL strings\n11\t3. Context MUST be passed to all database operations — use `*Context` method variants (`QueryContext`, `ExecContext`, `GetContext`)\n12\t4. `sql.ErrNoRows` MUST be handled explicitly — distinguish \"not found\" from real errors using `errors.Is`\n13\t5. Rows MUST be closed after iteration — `defer rows.Close()` immediately after `QueryContext` calls\n14\t6. NEVER use `db.Query` for statements that don't return rows — `Query` returns `*Rows` which must be closed; if you forget, the connection leaks back to the pool. Use `db.Exec` instead\n15\t7. **Use transactions for multi-statement operations** — wrap related writes in `BeginTxx`/`Commit`\n16\t8. **Use `SELECT ... FOR UPDATE`** when reading data you intend to modify — prevents race conditions\n17\t9. **Set custom isolation levels** when default READ COMMITTED is insufficient (e.g., serializable for financial operations)\n18\t10. **Handle NULLable columns** with pointer fields (`*string`, `*int`) or `sql.NullXxx` types\n19\t11. Connection pool MUST be configured — `SetMaxOpenConns`, `SetMaxIdleConns`, `SetConnMaxLifetime`, `SetConnMaxIdleTime`\n20\t12. **Use external tools for migrations** — golang-migrate or Flyway, never hand-rolled or AI-generated migration SQL\n21\t13. **Batch operations in reasonable sizes** — not row-by-row (too many round trips), not millions at once (locks and memory)\n22\t14. **Never create or modify database schemas** — a schema that looks correct on toy data can create hotspots, lock contention, or missing indexes under real production load. Schema design requires understanding of data volumes, access patterns, and production constraints that AI does not have\n23\t15. **Avoid hidden SQL features** — do not rely on triggers, views, materialized views, stored procedures, or row-level security in application code\n24\t\n25\t## Library Choice\n26\t\n27\t| Library | Best for | Struct scanning | PostgreSQL-specific |\n28\t| --- | --- | --- | --- |\n29\t| `database/sql` | Portability, minimal deps | Manual `Scan` | No |\n30\t| `sqlx` | Multi-database projects | `StructScan` | No |\n31\t| `pgx` | PostgreSQL (30-50% faster) | `pgx.RowToStructByName` | Yes (COPY, LISTEN, arrays) |\n32\t| GORM/ent | **Avoid** | Magic | Abstracted away |\n33\t\n34\t**Why NOT ORMs:**\n35\t\n36\t- Unpredictable query generation — N+1 problems you cannot see in code\n37\t- Magic hooks and callbacks (BeforeCreate, AfterUpdate) make debugging harder\n38\t- Schema migrations coupled to application code\n39\t- Learning the ORM API is harder than learning SQL, and the abstraction leaks\n40\t\n41\t## Parameterized Queries\n42\t\n43\t```go\n44\t// ✗ VERY BAD — SQL injection vulnerability\n45\tquery := fmt.Sprintf(\"SELECT * FROM users WHERE email = '%s'\", email)\n46\t\n47\t// ✓ Good — parameterized (PostgreSQL)\n48\tvar user User\n49\terr := db.GetContext(ctx, &user, \"SELECT id, name, email FROM users WHERE email = $1\", email)\n50\t\n51\t// ✓ Good — parameterized (MySQL)\n52\terr := db.GetContext(ctx, &user, \"SELECT id, name, email FROM users WHERE email = ?\", email)\n53\t```\n54\t\n55\t### Dynamic IN clauses\n56\t\n57\t```go\n58\tquery, args, err := sqlx.In(\"SELECT * FROM users WHERE id IN (?)\", ids)\n59\tif err != nil {\n60\t return fmt.Errorf(\"building IN clause: %w\", err)\n61\t}\n62\tquery = db.Rebind(query) // adjust placeholders for your driver\n63\terr = db.SelectContext(ctx, &users, query, args...)\n64\t```\n65\t\n66\t### Dynamic column names\n67\t\n68\tNever interpolate column names from user input. Use an allowlist:\n69\t\n70\t```go\n71\tallowed := map[string]bool{\"name\": true, \"email\": true, \"created_at\": true}\n72\tif !allowed[sortCol] {\n73\t return fmt.Errorf(\"invalid sort column: %s\", sortCol)\n74\t}\n75\tquery := fmt.Sprintf(\"SELECT id, name, email FROM users ORDER BY %s\", sortCol)\n76\t```\n77\t\n78\tFor more injection prevention patterns, see the `samber/cc-skills-golang@golang-security` skill.\n79\t\n80\t## Struct Scanning and NULLable Columns\n81\t\n82\tUse `db:\"column_name\"` tags for sqlx, `pgx.CollectRows` with `pgx.RowToStructByName` for pgx. Handle NULLable columns with pointer fields (`*string`, `*time.Time`) — they work cleanly with both scanning and JSON marshaling. See Scanning Reference for examples of all approaches.\n83\t\n84\t## Error Handling\n85\t\n86\t```go\n87\tfunc GetUser(id string) (*User, error) {\n88\t var user User\n89\t\n90\t err := db.GetContext(ctx, &user, \"SELECT id, name FROM users WHERE id = $1\", id)\n91\t if err != nil {\n92\t if errors.Is(err, sql.ErrNoRows) {\n93\t return nil, ErrUserNotFound // translate to domain error\n94\t }\n95\t return nil, fmt.Errorf(\"querying user %s: %w\", id, err)\n96\t }\n97\t\n98\t return &user, nil\n99\t}\n100\t```\n101\t\n102\tor:\n103\t\n104\t```go\n105\tfunc GetUser(id string) (u *User, exists bool, err error) {\n106\t var user User\n107\t\n108\t err := db.GetContext(ctx, &user, \"SELECT id, name FROM users WHERE id = $1\", id)\n109\t if err != nil {\n110\t if errors.Is(err, sql.ErrNoRows) {\n111\t return nil, false, nil // \"no user\" is not a technical error, but a domain error\n112\t }\n113\t return nil, false, fmt.Errorf(\"querying user %s: %w\", id, err)\n114\t }\n115\t\n116\t return &user, true, nil\n117\t}\n118\t```\n119\t\n120\t### Always close rows\n121\t\n122\t```go\n123\trows, err := db.QueryContext(ctx, \"SELECT id, name FROM users\")\n124\tif err != nil {\n125\t return fmt.Errorf(\"querying users: %w\", err)\n126\t}\n127\tdefer rows.Close() // prevents connection leaks\n128\t\n129\tfor rows.Next() {\n130\t // ...\n131\t}\n132\tif err := rows.Err(); err != nil { // always check after iteration\n133\t return fmt.Errorf(\"iterating users: %w\", err)\n134\t}\n135\t```\n136\t\n137\t### Common database error patterns\n138\t\n139\t| Error | How to detect | Action |\n140\t| --- | --- | --- |\n141\t| Row not found | `errors.Is(err, sql.ErrNoRows)` | Return domain error |\n142\t| Unique constraint | Check driver-specific error code | Return conflict error |\n143\t| Connection refused | `err != nil` on `db.PingContext` | Fail fast, log, retry with backoff |\n144\t| Serialization failure | PostgreSQL error code `40001` | Retry the entire transaction |\n145\t| Context canceled | `errors.Is(err, context.Canceled)` | Stop processing, propagate |\n146\t\n147\t## Context Propagation\n148\t\n149\tAlways use the `*Context` method variants to propagate deadlines and cancellation:\n150\t\n151\t```go\n152\t// ✗ Bad — no context, query runs until completion even if client disconnects\n153\tdb.Query(\"SELECT ...\")\n154\t\n155\t// ✓ Good — respects context cancellation and timeouts\n156\tdb.QueryContext(ctx, \"SELECT ...\")\n157\t```\n158\t\n159\tFor context patterns in depth, see the `samber/cc-skills-golang@golang-context` skill.\n160\t\n161\t## Transactions, Isolation Levels, and Locking\n162\t\n163\tFor transaction patterns, isolation levels, `SELECT FOR UPDATE`, and locking variants, see Transactions.\n164\t\n165\t## Connection Pool\n166\t\n167\t```go\n168\tdb.SetMaxOpenConns(25) // limit total connections\n169\tdb.SetMaxIdleConns(10) // keep warm connections ready\n170\tdb.SetConnMaxLifetime(5 * time.Minute) // recycle stale connections\n171\tdb.SetConnMaxIdleTime(1 * time.Minute) // close idle connections faster\n172\t```\n173\t\n174\tFor sizing guidance and formulas, see Database Performance.\n175\t\n176\t## Migrations\n177\t\n178\tUse an external migration tool. Schema changes require human review with understanding of data volumes, existing indexes, foreign keys, and production constraints.\n179\t\n180\tRecommended tools:\n181\t\n182\t- [golang-migrate](https://github.com/golang-migrate/migrate) — CLI + Go library, supports all major databases\n183\t- [Flyway](https://flywaydb.org/) — JVM-based, widely used in enterprise environments\n184\t- [Atlas](https://atlasgo.io/) — modern, declarative schema management\n185\t\n186\tMigration SQL should be written and reviewed by humans, versioned in source control, and applied through CI/CD pipelines.\n187\t\n188\t## Avoid Hidden SQL Features\n189\t\n190\tDo not rely on triggers, views, materialized views, stored procedures, or row-level security in application code — they create invisible side effects and make debugging impossible. Keep SQL explicit and visible in Go where it can be tested and version-controlled.\n191\t\n192\t## Schema Creation\n193\t\n194\t**This skill does NOT cover schema creation.** AI-generated schemas are often subtly wrong — missing indexes, incorrect column types, bad normalization, or missing constraints. Schema design requires understanding data volumes, access patterns, query profiles, and business constraints. Use dedicated database tooling and human review.\n195\t\n196\t## Deep Dives\n197\t\n198\t- **Transactions** — Transaction boundaries, isolation levels, deadlock prevention, `SELECT FOR UPDATE`\n199\t- **Testing Database Code** — Mock connections, integration tests with containers, fixtures, schema setup/teardown\n200\t- **Database Performance** — Connection pool sizing, batch processing, indexing strategy, query optimization\n201\t- **Struct Scanning** — Struct tags, NULLable column handling, JSON marshaling patterns\n202\t\n203\t## Cross-References\n204\t\n205\t- → See `samber/cc-skills-golang@golang-security` skill for SQL injection prevention patterns\n206\t- → See `samber/cc-skills-golang@golang-context` skill for context propagation to database operations\n207\t- → See `samber/cc-skills-golang@golang-error-handling` skill for database error wrapping patterns\n208\t- → See `samber/cc-skills-golang@golang-testing` skill for database integration test patterns\n209\t\n210\t## References\n211\t\n212\t- [database/sql tutorial](https://go.dev/doc/database/)\n213\t- [sqlx](https://github.com/jmoiron/sqlx)\n214\t- [pgx](https://github.com/jackc/pgx)\n215\t- [golang-migrate](https://github.com/golang-migrate/migrate)\n216\t"}]},"uuid":"c322c650-53e4-4448-b467-1b83636b30ac","timestamp":"2026-05-07T06:52:27.461Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/sergio/.claude/plugins/marketplaces/claude-toolbox/klaude-plugin/profiles/go/design/database.md","content":"# Go Database Best Practices\n\nGo's `database/sql` provides a solid foundation for database access. Use `sqlx` or `pgx` on top of it for ergonomics — never an ORM.\n\nWhen using sqlx or pgx, refer to the library's official documentation and code examples for current API signatures.\n\n## Best Practices Summary\n\n1. **Use sqlx or pgx, not ORMs** — ORMs hide SQL, generate unpredictable queries, and make debugging harder\n2. Queries MUST use parameterized placeholders — NEVER concatenate user input into SQL strings\n3. Context MUST be passed to all database operations — use `*Context` method variants (`QueryContext`, `ExecContext`, `GetContext`)\n4. `sql.ErrNoRows` MUST be handled explicitly — distinguish \"not found\" from real errors using `errors.Is`\n5. Rows MUST be closed after iteration — `defer rows.Close()` immediately after `QueryContext` calls\n6. NEVER use `db.Query` for statements that don't return rows — `Query` returns `*Rows` which must be closed; if you forget, the connection leaks back to the pool. Use `db.Exec` instead\n7. **Use transactions for multi-statement operations** — wrap related writes in `BeginTxx`/`Commit`\n8. **Use `SELECT ... FOR UPDATE`** when reading data you intend to modify — prevents race conditions\n9. **Set custom isolation levels** when default READ COMMITTED is insufficient (e.g., serializable for financial operations)\n10. **Handle NULLable columns** with pointer fields (`*string`, `*int`) or `sql.NullXxx` types\n11. Connection pool MUST be configured — `SetMaxOpenConns`, `SetMaxIdleConns`, `SetConnMaxLifetime`, `SetConnMaxIdleTime`\n12. **Use external tools for migrations** — golang-migrate or Flyway, never hand-rolled or AI-generated migration SQL\n13. **Batch operations in reasonable sizes** — not row-by-row (too many round trips), not millions at once (locks and memory)\n14. **Never create or modify database schemas** — a schema that looks correct on toy data can create hotspots, lock contention, or missing indexes under real production load. Schema design requires understanding of data volumes, access patterns, and production constraints that AI does not have\n15. **Avoid hidden SQL features** — do not rely on triggers, views, materialized views, stored procedures, or row-level security in application code\n\n## Library Choice\n\n| Library | Best for | Struct scanning | PostgreSQL-specific |\n| --- | --- | --- | --- |\n| `database/sql` | Portability, minimal deps | Manual `Scan` | No |\n| `sqlx` | Multi-database projects | `StructScan` | No |\n| `pgx` | PostgreSQL (30-50% faster) | `pgx.RowToStructByName` | Yes (COPY, LISTEN, arrays) |\n| GORM/ent | **Avoid** | Magic | Abstracted away |\n\n**Why NOT ORMs:**\n\n- Unpredictable query generation — N+1 problems you cannot see in code\n- Magic hooks and callbacks (BeforeCreate, AfterUpdate) make debugging harder\n- Schema migrations coupled to application code\n- Learning the ORM API is harder than learning SQL, and the abstraction leaks\n\n## Parameterized Queries\n\n```go\n// ✗ VERY BAD — SQL injection vulnerability\nquery := fmt.Sprintf(\"SELECT * FROM users WHERE email = '%s'\", email)\n\n// ✓ Good — parameterized (PostgreSQL)\nvar user User\nerr := db.GetContext(ctx, &user, \"SELECT id, name, email FROM users WHERE email = $1\", email)\n\n// ✓ Good — parameterized (MySQL)\nerr := db.GetContext(ctx, &user, \"SELECT id, name, email FROM users WHERE email = ?\", email)\n```\n\n### Dynamic IN clauses\n\n```go\nquery, args, err := sqlx.In(\"SELECT * FROM users WHERE id IN (?)\", ids)\nif err != nil {\n return fmt.Errorf(\"building IN clause: %w\", err)\n}\nquery = db.Rebind(query) // adjust placeholders for your driver\nerr = db.SelectContext(ctx, &users, query, args...)\n```\n\n### Dynamic column names\n\nNever interpolate column names from user input. Use an allowlist:\n\n```go\nallowed := map[string]bool{\"name\": true, \"email\": true, \"created_at\": true}\nif !allowed[sortCol] {\n return fmt.Errorf(\"invalid sort column: %s\", sortCol)\n}\nquery := fmt.Sprintf(\"SELECT id, name, email FROM users ORDER BY %s\", sortCol)\n```\n\nFor more injection prevention patterns, see the `samber/cc-skills-golang@golang-security` skill.\n\n## Struct Scanning and NULLable Columns\n\nUse `db:\"column_name\"` tags for sqlx, `pgx.CollectRows` with `pgx.RowToStructByName` for pgx. Handle NULLable columns with pointer fields (`*string`, `*time.Time`) — they work cleanly with both scanning and JSON marshaling. See Scanning Reference for examples of all approaches.\n\n## Error Handling\n\n```go\nfunc GetUser(id string) (*User, error) {\n var user User\n\n err := db.GetContext(ctx, &user, \"SELECT id, name FROM users WHERE id = $1\", id)\n if err != nil {\n if errors.Is(err, sql.ErrNoRows) {\n return nil, ErrUserNotFound // translate to domain error\n }\n return nil, fmt.Errorf(\"querying user %s: %w\", id, err)\n }\n\n return &user, nil\n}\n```\n\nor:\n\n```go\nfunc GetUser(id string) (u *User, exists bool, err error) {\n var user User\n\n err := db.GetContext(ctx, &user, \"SELECT id, name FROM users WHERE id = $1\", id)\n if err != nil {\n if errors.Is(err, sql.ErrNoRows) {\n return nil, false, nil // \"no user\" is not a technical error, but a domain error\n }\n return nil, false, fmt.Errorf(\"querying user %s: %w\", id, err)\n }\n\n return &user, true, nil\n}\n```\n\n### Always close rows\n\n```go\nrows, err := db.QueryContext(ctx, \"SELECT id, name FROM users\")\nif err != nil {\n return fmt.Errorf(\"querying users: %w\", err)\n}\ndefer rows.Close() // prevents connection leaks\n\nfor rows.Next() {\n // ...\n}\nif err := rows.Err(); err != nil { // always check after iteration\n return fmt.Errorf(\"iterating users: %w\", err)\n}\n```\n\n### Common database error patterns\n\n| Error | How to detect | Action |\n| --- | --- | --- |\n| Row not found | `errors.Is(err, sql.ErrNoRows)` | Return domain error |\n| Unique constraint | Check driver-specific error code | Return conflict error |\n| Connection refused | `err != nil` on `db.PingContext` | Fail fast, log, retry with backoff |\n| Serialization failure | PostgreSQL error code `40001` | Retry the entire transaction |\n| Context canceled | `errors.Is(err, context.Canceled)` | Stop processing, propagate |\n\n## Context Propagation\n\nAlways use the `*Context` method variants to propagate deadlines and cancellation:\n\n```go\n// ✗ Bad — no context, query runs until completion even if client disconnects\ndb.Query(\"SELECT ...\")\n\n// ✓ Good — respects context cancellation and timeouts\ndb.QueryContext(ctx, \"SELECT ...\")\n```\n\nFor context patterns in depth, see the `samber/cc-skills-golang@golang-context` skill.\n\n## Transactions, Isolation Levels, and Locking\n\nFor transaction patterns, isolation levels, `SELECT FOR UPDATE`, and locking variants, see Transactions.\n\n## Connection Pool\n\n```go\ndb.SetMaxOpenConns(25) // limit total connections\ndb.SetMaxIdleConns(10) // keep warm connections ready\ndb.SetConnMaxLifetime(5 * time.Minute) // recycle stale connections\ndb.SetConnMaxIdleTime(1 * time.Minute) // close idle connections faster\n```\n\nFor sizing guidance and formulas, see Database Performance.\n\n## Migrations\n\nUse an external migration tool. Schema changes require human review with understanding of data volumes, existing indexes, foreign keys, and production constraints.\n\nRecommended tools:\n\n- [golang-migrate](https://github.com/golang-migrate/migrate) — CLI + Go library, supports all major databases\n- [Flyway](https://flywaydb.org/) — JVM-based, widely used in enterprise environments\n- [Atlas](https://atlasgo.io/) — modern, declarative schema management\n\nMigration SQL should be written and reviewed by humans, versioned in source control, and applied through CI/CD pipelines.\n\n## Avoid Hidden SQL Features\n\nDo not rely on triggers, views, materialized views, stored procedures, or row-level security in application code — they create invisible side effects and make debugging impossible. Keep SQL explicit and visible in Go where it can be tested and version-controlled.\n\n## Schema Creation\n\n**This skill does NOT cover schema creation.** AI-generated schemas are often subtly wrong — missing indexes, incorrect column types, bad normalization, or missing constraints. Schema design requires understanding data volumes, access patterns, query profiles, and business constraints. Use dedicated database tooling and human review.\n\n## Deep Dives\n\n- **Transactions** — Transaction boundaries, isolation levels, deadlock prevention, `SELECT FOR UPDATE`\n- **Testing Database Code** — Mock connections, integration tests with containers, fixtures, schema setup/teardown\n- **Database Performance** — Connection pool sizing, batch processing, indexing strategy, query optimization\n- **Struct Scanning** — Struct tags, NULLable column handling, JSON marshaling patterns\n\n## Cross-References\n\n- → See `samber/cc-skills-golang@golang-security` skill for SQL injection prevention patterns\n- → See `samber/cc-skills-golang@golang-context` skill for context propagation to database operations\n- → See `samber/cc-skills-golang@golang-error-handling` skill for database error wrapping patterns\n- → See `samber/cc-skills-golang@golang-testing` skill for database integration test patterns\n\n## References\n\n- [database/sql tutorial](https://go.dev/doc/database/)\n- [sqlx](https://github.com/jmoiron/sqlx)\n- [pgx](https://github.com/jackc/pgx)\n- [golang-migrate](https://github.com/golang-migrate/migrate)\n","numLines":216,"startLine":1,"totalLines":216}},"sourceToolAssistantUUID":"97b1f35d-177d-4a7a-a194-14f54a139e0f","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"b8bdfa42-d264-402e-8a97-8128feb41ab6","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01231dYfuNzNzBDu6VUqoLEQ","type":"tool_result","content":"1\t# Contributing to capy\n2\t\n3\t## Local Setup\n4\t\n5\t### Prerequisites\n6\t\n7\t- **Go 1.23+** ([install](https://go.dev/dl/))\n8\t- **C compiler** — required for CGO (SQLite FTS5 + encryption):\n9\t - macOS: `xcode-select --install`\n10\t - Debian/Ubuntu: `sudo apt install build-essential`\n11\t - Fedora: `sudo dnf install gcc`\n12\t - No external SQLite library needed — the build uses a `go.mod` replace directive to bundle sqlite3mc (SQLite3MultipleCiphers) via the jgiannuzzi/go-sqlite3 fork\n13\t- **Language runtimes** (optional) — for testing the executor against specific languages:\n14\t - At minimum: `bash`, `python3`\n15\t - Full set: `node`/`bun`, `tsx`/`ts-node`, `ruby`, `go`, `rustc`, `php`, `perl`, `Rscript`, `elixir`\n16\t\n17\t### Clone and Build\n18\t\n19\t```bash\n20\tgit clone https://github.com/serpro69/capy.git\n21\tcd capy\n22\tmake build\n23\t```\n24\t\n25\tThis produces a `./capy` binary. The `-tags fts5` build tag is handled by the Makefile.\n26\t\n27\t### Verify\n28\t\n29\tTests require the `CAPY_DB_KEY` environment variable (any non-empty string works for tests):\n30\t\n31\t```bash\n32\texport CAPY_DB_KEY=test-key-for-development\n33\t\n34\tmake test # run all tests\n35\tmake vet # static analysis\n36\tmake test-race # tests with race detector\n37\t```\n38\t\n39\t## Project Structure\n40\t\n41\t```\n42\tcmd/capy/ CLI entry points (serve, hook, setup, doctor, cleanup, checkpoint, encrypt)\n43\tinternal/\n44\t adapter/ Platform adapter interface + Claude Code implementation\n45\t config/ TOML config loading, project root detection, path resolution\n46\t executor/ Polyglot code executor (11 languages, process isolation)\n47\t hook/ Hook event routing (PreToolUse, PostToolUse, etc.)\n48\t platform/ Setup command, doctor diagnostics, routing instructions\n49\t security/ Settings parsing, glob matching, command splitting, shell-escape detection\n50\t server/ MCP server, 9 tool handlers, stats, lifecycle, snippets\n51\t session/ Claude Code session JSONL parsing, transcript building, chunking, sweep indexing\n52\t store/ SQLite FTS5 knowledge base (schema, indexing, chunking, search, cleanup, encryption)\n53\t version/ Version variable (set at build via ldflags)\n54\t```\n55\t\n56\t## Testing\n57\t\n58\t### Running Tests\n59\t\n60\tAll tests require:\n61\t\n62\t1. The `fts5` build tag (handled by the Makefile)\n63\t2. The `CAPY_DB_KEY` environment variable set to any non-empty string\n64\t\n65\t```bash\n66\texport CAPY_DB_KEY=test-key-for-development # set once per shell session\n67\t\n68\tmake test # all tests\n69\tmake test-race # with race detector\n70\tgo test -tags fts5 -count=1 ./internal/store/... # single package\n71\tgo test -tags fts5 -count=1 -run TestSearch ./internal/store/... # single test\n72\tgo test -tags fts5 -count=1 -v ./internal/hook/... # verbose\n73\t```\n74\t\n75\tTop gotchas:\n76\t- Without `-tags fts5` you'll get cryptic `no such module: fts5` errors from SQLite.\n77\t- Without `CAPY_DB_KEY` you'll get `CAPY_DB_KEY environment variable is required` errors from store tests.\n78\t\n79\t### Coverage\n80\t\n81\t```bash\n82\tCGO_ENABLED=1 go test -tags fts5 -coverprofile=cover.out ./...\n83\tgo tool cover -func=cover.out | tail -1 # total percentage\n84\tgo tool cover -html=cover.out -o cover.html # visual report\n85\t```\n86\t\n87\t### Test Organization\n88\t\n89\tEach package has two levels of tests:\n90\t\n91\t- **Unit tests** (`*_test.go`) — test individual functions in isolation. Use test stubs/mocks. Fast.\n92\t- **Integration tests** (`integration_test.go`) — test the full pipeline across packages. Use real adapters, real SQLite, real executor. Found in `internal/server/` and `internal/hook/`.\n93\t\n94\tKey integration test files:\n95\t\n96\t| File | What it covers |\n97\t|------|----------------|\n98\t| `server/integration_test.go` | MCP tool handler -> executor -> store -> search round-trips |\n99\t| `hook/integration_test.go` | Full hook JSON through Claude Code adapter with real routing |\n100\t\n101\t## Local Verification Without Installation\n102\t\n103\tYou don't need to install capy globally to test it. Build and run from the repo root.\n104\t\n105\t### Testing Hooks Manually\n106\t\n107\tBuild the binary and pipe JSON to stdin:\n108\t\n109\t```bash\n110\tmake build\n111\t\n112\t# Test: curl gets intercepted\n113\techo '{\"tool_name\":\"Bash\",\"tool_input\":{\"command\":\"curl https://example.com\"},\"session_id\":\"test\"}' \\\n114\t | ./capy hook pretooluse | python3 -m json.tool\n115\t\n116\t# Expected: permissionDecision \"allow\" with updatedInput replacing curl with echo message\n117\t\n118\t# Test: WebFetch gets denied\n119\techo '{\"tool_name\":\"WebFetch\",\"tool_input\":{\"url\":\"https://example.com\"},\"session_id\":\"test\"}' \\\n120\t | ./capy hook pretooluse | python3 -m json.tool\n121\t\n122\t# Expected: permissionDecision \"deny\"\n123\t\n124\t# Test: normal bash gets guidance\n125\techo '{\"tool_name\":\"Bash\",\"tool_input\":{\"command\":\"ls -la\"},\"session_id\":\"test\"}' \\\n126\t | ./capy hook pretooluse | python3 -m json.tool\n127\t\n128\t# Expected: additionalContext with capy guidance (or empty if guidance was already shown this session)\n129\t\n130\t# Test: security deny\n131\techo '{\"tool_name\":\"Bash\",\"tool_input\":{\"command\":\"sudo rm -rf /\"},\"session_id\":\"test\"}' \\\n132\t | ./capy hook pretooluse --project-dir . | python3 -m json.tool\n133\t\n134\t# Expected: permissionDecision \"deny\" (if you have a Bash(sudo *) deny rule in .claude/settings.json)\n135\t```\n136\t\n137\t### Testing Doctor\n138\t\n139\t```bash\n140\t./capy doctor\n141\t./capy doctor --project-dir /path/to/some/project\n142\t```\n143\t\n144\tThis shows diagnostics without modifying anything. Useful to verify runtimes, FTS5, and config loading.\n145\t\n146\t### Testing With Claude Code (Full E2E)\n147\t\n148\tFor a full end-to-end test, point `capy setup` at a scratch project using the local binary:\n149\t\n150\t```bash\n151\t# Create a scratch project\n152\tmkdir /tmp/capy-test && cd /tmp/capy-test\n153\tgit init\n154\t\n155\t# Setup using your local binary\n156\t/path/to/capy/capy setup --binary /path/to/capy/capy\n157\t\n158\t# Verify\n159\t/path/to/capy/capy doctor\n160\t\n161\t# Now open this project in Claude Code — hooks and MCP tools should be active\n162\t```\n163\t\n164\tTo iterate: rebuild with `make build`, then restart Claude Code (the MCP server and hooks pick up the new binary automatically since the config points to the absolute path).\n165\t\n166\t### Testing the MCP Server Directly\n167\t\n168\tThe MCP server uses stdio (JSON-RPC over stdin/stdout). You can test it by sending raw JSON-RPC messages, but this is complex. The integration tests in `internal/server/integration_test.go` cover this path — prefer running those:\n169\t\n170\t```bash\n171\tgo test -tags fts5 -count=1 -v -run TestIntegration ./internal/server/...\n172\t```\n173\t\n174\t## Development Workflow\n175\t\n176\t### Making Changes\n177\t\n178\t1. Find the relevant package in `internal/`\n179\t2. Read existing tests to understand the patterns\n180\t3. Write or modify code\n181\t4. Run the package tests: `go test -tags fts5 -count=1 ./internal/<package>/...`\n182\t5. Run `make vet` for static analysis\n183\t6. Run `make test` for the full suite\n184\t7. If you changed hook behavior, test manually with piped JSON (see above)\n185\t\n186\t### Common Patterns\n187\t\n188\t**Tool handlers** (`server/tool_*.go`): Each MCP tool has a handler function that:\n189\t1. Parses arguments from the request (with input coercion for double-serialized JSON)\n190\t2. Runs security checks\n191\t3. Does the work (execute, index, search, etc.)\n192\t4. Tracks stats via `s.trackToolResponse()`\n193\t5. Returns `*mcp.CallToolResult`\n194\t\n195\t**Store operations**: All database operations use prepared statements cached on the `ContentStore` struct. New queries need a prepared statement added to `store.go:prepareStatements()` and closed in `store.go:Close()`.\n196\t\n197\t**SQLite WAL checkpoint** (see ADR-015, ADR-016, ADR-019): The knowledge DB uses WAL mode with mandatory encryption (sqlite3mc, SQLCipher v4 compat). On `Close()`, the WAL must be flushed into the main `.db` file — otherwise git operations corrupt the database (WAL/SHM sidecar files aren't tracked). The checkpoint requires exclusive WAL access, which means the `database/sql` connection pool must be closed *before* checkpointing. `Close()` handles this by: (1) closing statements, (2) closing the pool, (3) opening a fresh single connection (with the encryption key via URI parameters) for `PRAGMA wal_checkpoint(TRUNCATE)`. Do not attempt to checkpoint while pool connections are open — it silently degrades to passive (incomplete). The `Checkpoint()` method does the same thing standalone for the `capy checkpoint` CLI command.\n198\t\n199\t**Important nuance**: WAL/SHM files only exist when the DB has been written to during a session. `Close()` checkpoints whatever WAL frames the current session created. If the server starts but no writes happen (e.g., empty `capy serve` → Ctrl+C), there's nothing to checkpoint and any pre-existing WAL files from a *previous* session remain untouched. This means stale WAL files from an older binary version or unclean shutdown require a manual `capy checkpoint` to flush.\n200\t\n201\t**WAL and PRAGMA rekey incompatibility** (see ADR-020): sqlite3mc does not support `PRAGMA rekey` in WAL journal mode. `capy encrypt`'s `encryptPlain` path (unencrypted → encrypted) must switch the temporary copy to `PRAGMA journal_mode = DELETE` before rekeying. The key-rotation path (`rekeyEncrypted`) uses the SQLite backup API and is unaffected. WAL mode is restored automatically when the store reopens the encrypted DB (the DSN includes `_journal_mode=WAL`).\n202\t\n203\t**Security checks**: Bash deny patterns are loaded once at server startup. The `matchesAnyBashPattern` function uses cached regexes (`sync.Map`). Shell-escape patterns for non-shell languages are compiled once in `init()`.\n204\t\n205\t**Hook routing** (`hook/pretooluse.go`): The main routing function dispatches on canonical tool name. New tool interceptions go here. Guidance uses file-based persistence (`.capy/guidance-<sessionID>.json`) since hooks run as separate short-lived processes.\n206\t\n207\t### Adding a New MCP Tool\n208\t\n209\t1. Define the tool schema in `server/tools.go` (follow existing patterns)\n210\t2. Create the handler in a new `server/tool_<name>.go` file\n211\t3. Register it in `server/tools.go:registerTools()`\n212\t4. Add the tool name to `platform/routing.go:CapyToolNames`\n213\t5. Write unit tests in `server/tool_<name>_test.go`\n214\t6. Add an integration test in `server/integration_test.go` if the tool interacts with the store\n215\t\n216\t### Adding a New Hook Interception\n217\t\n218\t1. Add the routing logic to `hook/pretooluse.go:handlePreToolUse()`\n219\t2. If it's a new canonical tool, add it to `hook/helpers.go:toolAliases` for platform variants\n220\t3. Add the tool name to `platform/setup.go:PreToolUseMatcherPattern` so the hook is registered\n221\t4. Write tests in `hook/hook_test.go` (unit, with test adapter) and `hook/integration_test.go` (with Claude Code adapter)\n222\t\n223\t## Releases\n224\t\n225\tReleases are fully automated. Push a semver tag to trigger the pipeline:\n226\t\n227\t```bash\n228\tgit tag v1.0.0 && git push origin v1.0.0\n229\t```\n230\t\n231\tWhat happens:\n232\t1. **CI** runs vet + tests (same as every push to master)\n233\t2. **Build** produces binaries on native runners for 3 platforms (darwin/arm64, linux/amd64, linux/arm64)\n234\t3. **Release** creates a GitHub Release with tarballs and SHA256SUMS\n235\t4. **Homebrew** updates the `serpro69/homebrew-tap` formula (stable releases only)\n236\t\n237\tPre-release tags (e.g., `v1.0.0-rc.1`) create pre-release GitHub Releases and skip the Homebrew update.\n238\t\n239\t## Code Conventions\n240\t\n241\t- **Error handling**: Wrap errors with context via `fmt.Errorf(\"doing X: %w\", err)`. Don't swallow errors silently — at minimum log with `slog.Debug` or `slog.Warn`.\n242\t- **Concurrency**: Use `sync.Mutex` for mutable state, `sync.Once` for lazy init, `sync.Map` for concurrent caches. No naked goroutines that use shared resources without synchronization.\n243\t- **No `init()` side effects**: The only `init()` in the codebase compiles regex patterns (`security/shell_escape.go`). Keep it that way.\n244\t- **Tests**: Use `testify/assert` and `testify/require`. `require` for preconditions (test stops on failure), `assert` for the actual check.\n245\t- **Build tags**: Always pass `-tags fts5` for anything involving the store or server packages.\n246\t"}]},"uuid":"26e2d1c5-6199-4dc1-b919-cb65c678aebf","timestamp":"2026-05-07T06:52:39.669Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/sergio/Projects/personal/capy/CONTRIBUTING.md","content":"# Contributing to capy\n\n## Local Setup\n\n### Prerequisites\n\n- **Go 1.23+** ([install](https://go.dev/dl/))\n- **C compiler** — required for CGO (SQLite FTS5 + encryption):\n - macOS: `xcode-select --install`\n - Debian/Ubuntu: `sudo apt install build-essential`\n - Fedora: `sudo dnf install gcc`\n - No external SQLite library needed — the build uses a `go.mod` replace directive to bundle sqlite3mc (SQLite3MultipleCiphers) via the jgiannuzzi/go-sqlite3 fork\n- **Language runtimes** (optional) — for testing the executor against specific languages:\n - At minimum: `bash`, `python3`\n - Full set: `node`/`bun`, `tsx`/`ts-node`, `ruby`, `go`, `rustc`, `php`, `perl`, `Rscript`, `elixir`\n\n### Clone and Build\n\n```bash\ngit clone https://github.com/serpro69/capy.git\ncd capy\nmake build\n```\n\nThis produces a `./capy` binary. The `-tags fts5` build tag is handled by the Makefile.\n\n### Verify\n\nTests require the `CAPY_DB_KEY` environment variable (any non-empty string works for tests):\n\n```bash\nexport CAPY_DB_KEY=test-key-for-development\n\nmake test # run all tests\nmake vet # static analysis\nmake test-race # tests with race detector\n```\n\n## Project Structure\n\n```\ncmd/capy/ CLI entry points (serve, hook, setup, doctor, cleanup, checkpoint, encrypt)\ninternal/\n adapter/ Platform adapter interface + Claude Code implementation\n config/ TOML config loading, project root detection, path resolution\n executor/ Polyglot code executor (11 languages, process isolation)\n hook/ Hook event routing (PreToolUse, PostToolUse, etc.)\n platform/ Setup command, doctor diagnostics, routing instructions\n security/ Settings parsing, glob matching, command splitting, shell-escape detection\n server/ MCP server, 9 tool handlers, stats, lifecycle, snippets\n session/ Claude Code session JSONL parsing, transcript building, chunking, sweep indexing\n store/ SQLite FTS5 knowledge base (schema, indexing, chunking, search, cleanup, encryption)\n version/ Version variable (set at build via ldflags)\n```\n\n## Testing\n\n### Running Tests\n\nAll tests require:\n\n1. The `fts5` build tag (handled by the Makefile)\n2. The `CAPY_DB_KEY` environment variable set to any non-empty string\n\n```bash\nexport CAPY_DB_KEY=test-key-for-development # set once per shell session\n\nmake test # all tests\nmake test-race # with race detector\ngo test -tags fts5 -count=1 ./internal/store/... # single package\ngo test -tags fts5 -count=1 -run TestSearch ./internal/store/... # single test\ngo test -tags fts5 -count=1 -v ./internal/hook/... # verbose\n```\n\nTop gotchas:\n- Without `-tags fts5` you'll get cryptic `no such module: fts5` errors from SQLite.\n- Without `CAPY_DB_KEY` you'll get `CAPY_DB_KEY environment variable is required` errors from store tests.\n\n### Coverage\n\n```bash\nCGO_ENABLED=1 go test -tags fts5 -coverprofile=cover.out ./...\ngo tool cover -func=cover.out | tail -1 # total percentage\ngo tool cover -html=cover.out -o cover.html # visual report\n```\n\n### Test Organization\n\nEach package has two levels of tests:\n\n- **Unit tests** (`*_test.go`) — test individual functions in isolation. Use test stubs/mocks. Fast.\n- **Integration tests** (`integration_test.go`) — test the full pipeline across packages. Use real adapters, real SQLite, real executor. Found in `internal/server/` and `internal/hook/`.\n\nKey integration test files:\n\n| File | What it covers |\n|------|----------------|\n| `server/integration_test.go` | MCP tool handler -> executor -> store -> search round-trips |\n| `hook/integration_test.go` | Full hook JSON through Claude Code adapter with real routing |\n\n## Local Verification Without Installation\n\nYou don't need to install capy globally to test it. Build and run from the repo root.\n\n### Testing Hooks Manually\n\nBuild the binary and pipe JSON to stdin:\n\n```bash\nmake build\n\n# Test: curl gets intercepted\necho '{\"tool_name\":\"Bash\",\"tool_input\":{\"command\":\"curl https://example.com\"},\"session_id\":\"test\"}' \\\n | ./capy hook pretooluse | python3 -m json.tool\n\n# Expected: permissionDecision \"allow\" with updatedInput replacing curl with echo message\n\n# Test: WebFetch gets denied\necho '{\"tool_name\":\"WebFetch\",\"tool_input\":{\"url\":\"https://example.com\"},\"session_id\":\"test\"}' \\\n | ./capy hook pretooluse | python3 -m json.tool\n\n# Expected: permissionDecision \"deny\"\n\n# Test: normal bash gets guidance\necho '{\"tool_name\":\"Bash\",\"tool_input\":{\"command\":\"ls -la\"},\"session_id\":\"test\"}' \\\n | ./capy hook pretooluse | python3 -m json.tool\n\n# Expected: additionalContext with capy guidance (or empty if guidance was already shown this session)\n\n# Test: security deny\necho '{\"tool_name\":\"Bash\",\"tool_input\":{\"command\":\"sudo rm -rf /\"},\"session_id\":\"test\"}' \\\n | ./capy hook pretooluse --project-dir . | python3 -m json.tool\n\n# Expected: permissionDecision \"deny\" (if you have a Bash(sudo *) deny rule in .claude/settings.json)\n```\n\n### Testing Doctor\n\n```bash\n./capy doctor\n./capy doctor --project-dir /path/to/some/project\n```\n\nThis shows diagnostics without modifying anything. Useful to verify runtimes, FTS5, and config loading.\n\n### Testing With Claude Code (Full E2E)\n\nFor a full end-to-end test, point `capy setup` at a scratch project using the local binary:\n\n```bash\n# Create a scratch project\nmkdir /tmp/capy-test && cd /tmp/capy-test\ngit init\n\n# Setup using your local binary\n/path/to/capy/capy setup --binary /path/to/capy/capy\n\n# Verify\n/path/to/capy/capy doctor\n\n# Now open this project in Claude Code — hooks and MCP tools should be active\n```\n\nTo iterate: rebuild with `make build`, then restart Claude Code (the MCP server and hooks pick up the new binary automatically since the config points to the absolute path).\n\n### Testing the MCP Server Directly\n\nThe MCP server uses stdio (JSON-RPC over stdin/stdout). You can test it by sending raw JSON-RPC messages, but this is complex. The integration tests in `internal/server/integration_test.go` cover this path — prefer running those:\n\n```bash\ngo test -tags fts5 -count=1 -v -run TestIntegration ./internal/server/...\n```\n\n## Development Workflow\n\n### Making Changes\n\n1. Find the relevant package in `internal/`\n2. Read existing tests to understand the patterns\n3. Write or modify code\n4. Run the package tests: `go test -tags fts5 -count=1 ./internal/<package>/...`\n5. Run `make vet` for static analysis\n6. Run `make test` for the full suite\n7. If you changed hook behavior, test manually with piped JSON (see above)\n\n### Common Patterns\n\n**Tool handlers** (`server/tool_*.go`): Each MCP tool has a handler function that:\n1. Parses arguments from the request (with input coercion for double-serialized JSON)\n2. Runs security checks\n3. Does the work (execute, index, search, etc.)\n4. Tracks stats via `s.trackToolResponse()`\n5. Returns `*mcp.CallToolResult`\n\n**Store operations**: All database operations use prepared statements cached on the `ContentStore` struct. New queries need a prepared statement added to `store.go:prepareStatements()` and closed in `store.go:Close()`.\n\n**SQLite WAL checkpoint** (see ADR-015, ADR-016, ADR-019): The knowledge DB uses WAL mode with mandatory encryption (sqlite3mc, SQLCipher v4 compat). On `Close()`, the WAL must be flushed into the main `.db` file — otherwise git operations corrupt the database (WAL/SHM sidecar files aren't tracked). The checkpoint requires exclusive WAL access, which means the `database/sql` connection pool must be closed *before* checkpointing. `Close()` handles this by: (1) closing statements, (2) closing the pool, (3) opening a fresh single connection (with the encryption key via URI parameters) for `PRAGMA wal_checkpoint(TRUNCATE)`. Do not attempt to checkpoint while pool connections are open — it silently degrades to passive (incomplete). The `Checkpoint()` method does the same thing standalone for the `capy checkpoint` CLI command.\n\n**Important nuance**: WAL/SHM files only exist when the DB has been written to during a session. `Close()` checkpoints whatever WAL frames the current session created. If the server starts but no writes happen (e.g., empty `capy serve` → Ctrl+C), there's nothing to checkpoint and any pre-existing WAL files from a *previous* session remain untouched. This means stale WAL files from an older binary version or unclean shutdown require a manual `capy checkpoint` to flush.\n\n**WAL and PRAGMA rekey incompatibility** (see ADR-020): sqlite3mc does not support `PRAGMA rekey` in WAL journal mode. `capy encrypt`'s `encryptPlain` path (unencrypted → encrypted) must switch the temporary copy to `PRAGMA journal_mode = DELETE` before rekeying. The key-rotation path (`rekeyEncrypted`) uses the SQLite backup API and is unaffected. WAL mode is restored automatically when the store reopens the encrypted DB (the DSN includes `_journal_mode=WAL`).\n\n**Security checks**: Bash deny patterns are loaded once at server startup. The `matchesAnyBashPattern` function uses cached regexes (`sync.Map`). Shell-escape patterns for non-shell languages are compiled once in `init()`.\n\n**Hook routing** (`hook/pretooluse.go`): The main routing function dispatches on canonical tool name. New tool interceptions go here. Guidance uses file-based persistence (`.capy/guidance-<sessionID>.json`) since hooks run as separate short-lived processes.\n\n### Adding a New MCP Tool\n\n1. Define the tool schema in `server/tools.go` (follow existing patterns)\n2. Create the handler in a new `server/tool_<name>.go` file\n3. Register it in `server/tools.go:registerTools()`\n4. Add the tool name to `platform/routing.go:CapyToolNames`\n5. Write unit tests in `server/tool_<name>_test.go`\n6. Add an integration test in `server/integration_test.go` if the tool interacts with the store\n\n### Adding a New Hook Interception\n\n1. Add the routing logic to `hook/pretooluse.go:handlePreToolUse()`\n2. If it's a new canonical tool, add it to `hook/helpers.go:toolAliases` for platform variants\n3. Add the tool name to `platform/setup.go:PreToolUseMatcherPattern` so the hook is registered\n4. Write tests in `hook/hook_test.go` (unit, with test adapter) and `hook/integration_test.go` (with Claude Code adapter)\n\n## Releases\n\nReleases are fully automated. Push a semver tag to trigger the pipeline:\n\n```bash\ngit tag v1.0.0 && git push origin v1.0.0\n```\n\nWhat happens:\n1. **CI** runs vet + tests (same as every push to master)\n2. **Build** produces binaries on native runners for 3 platforms (darwin/arm64, linux/amd64, linux/arm64)\n3. **Release** creates a GitHub Release with tarballs and SHA256SUMS\n4. **Homebrew** updates the `serpro69/homebrew-tap` formula (stable releases only)\n\nPre-release tags (e.g., `v1.0.0-rc.1`) create pre-release GitHub Releases and skip the Homebrew update.\n\n## Code Conventions\n\n- **Error handling**: Wrap errors with context via `fmt.Errorf(\"doing X: %w\", err)`. Don't swallow errors silently — at minimum log with `slog.Debug` or `slog.Warn`.\n- **Concurrency**: Use `sync.Mutex` for mutable state, `sync.Once` for lazy init, `sync.Map` for concurrent caches. No naked goroutines that use shared resources without synchronization.\n- **No `init()` side effects**: The only `init()` in the codebase compiles regex patterns (`security/shell_escape.go`). Keep it that way.\n- **Tests**: Use `testify/assert` and `testify/require`. `require` for preconditions (test stops on failure), `assert` for the actual check.\n- **Build tags**: Always pass `-tags fts5` for anything involving the store or server packages.\n","numLines":246,"startLine":1,"totalLines":246}},"sourceToolAssistantUUID":"b8bdfa42-d264-402e-8a97-8128feb41ab6","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"type":"last-prompt","lastPrompt":"Explore this issue I discovered yesterday when comparing an indexed session vs raw jsonl session file : https://github.com/serpro69/capy/issues/41 Perform a thorough analysis of the issue. Then use kk…","leafUuid":"26e2d1c5-6199-4dc1-b919-cb65c678aebf","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"ai-title","aiTitle":"Analyze session indexing issue and document RAG design v2","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"permission-mode","permissionMode":"default","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"parentUuid":"8801fea0-fba4-440b-9584-b844f4ba5206","isSidechain":false,"promptId":"ae131cdb-7ea1-43cd-aea7-8b867c8ed6e5","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016DyVpS4n57yEwK9bg3dVJi","type":"tool_result","content":[{"type":"text","text":"## session indexing architecture decisions\nNo results found.\n\n---\n\n## tool content extraction parsing design\nNo results found.\n\nIndexed sources: \"issue-41-raw-jsonl\" (28 sections), \"issue-41-gist\" (9 sections), \"batch:parse.go,transcript.go,chunk.go,sweep.go,test files\" (5 sections), \"session:2026-05-06T13:05:37Z:94f3b628-7092-4069-b1ec-b611f15844a1\" (22 sections), \"session:2026-05-06T19:39:16Z:e64d32c7-f3dd-44b8-891d-4d6335d0f000\" (1 sections), \"session:2026-04-15T18:12:18Z:e8f8f990-7043-46f8-916e-1bf0b867d012\" (6 sections), \"session:2026-04-22T18:51:29Z:db6baad6-8790-4b4c-bf20-74eb5ee38dc5\" (10 sections), \"session:2026-04-08T17:47:31Z:d3633c47-e5ab-4d35-89db-237fe5fc42ab\" (26 sections), \"session:2026-04-15T18:22:38Z:cf3c57c6-304e-4759-8e6a-5086e8f5b0b4\" (20 sections), \"session:2026-04-24T18:02:10Z:c64dda60-2c51-495a-b2af-3d1d0f809d2d\" (11 sections), \"session:2026-04-07T19:51:16Z:c31031c5-3671-4004-bef5-dc3d4429a69a\" (12 sections), \"session:2026-05-04T05:30:35Z:c2648222-9820-4b91-a0fe-254ae93cd1c6\" (17 sections), \"session:2026-04-23T17:56:19Z:b5ee5362-8700-4c9c-8278-51cb58c2e096\" (51 sections), \"session:2026-04-05T11:51:27Z:ad7189ff-3cf9-4191-9800-62424843a5ed\" (6 sections), \"session:2026-04-05T12:16:55Z:7c713c7d-b34d-40d7-95dc-992af8923de5\" (11 sections), \"session:2026-04-07T18:41:54Z:72a85cca-8e58-4277-91b7-629c57f6419d\" (21 sections), \"session:2026-04-26T17:26:24Z:48dcf227-7186-4ba7-b069-833b3839589d\" (23 sections), \"session:2026-04-23T19:51:10Z:345c7159-4247-40ff-afba-9b04ae31b055\" (7 sections), \"session:2026-04-08T19:11:29Z:1b759791-9b45-4a70-a735-11b76f276e1c\" (10 sections), \"session:2026-04-05T12:06:26Z:102ad512-759a-43ad-8805-353ce341f65c\" (1 sections), \"kk:review-findings\" (1 sections), \"batch:sessiondir tests and callers\" (1 sections), \"batch:head patch and stats,changed files current content with line numbers,changed fil\" (13 sections), \"batch:sweep command files,sweep flag definition,session dir resolution in internal\" (3 sections), \"session:2026-05-05T09:33:27Z:ff088094-8367-4e78-9b99-64561d02d75d\" (3 sections), \"session:2026-04-16T12:30:26Z:fd608f9e-8cdb-4583-954f-a107e62a5f2c\" (17 sections), \"session:2026-05-05T09:48:24Z:f23d189d-f75a-4d7b-ae19-1ae8a39241fc\" (12 sections), \"session:2026-04-23T13:18:03Z:ef466af2-564e-400e-8a98-d76edc638ca2\" (14 sections), \"session:2026-04-27T09:42:38Z:ed58e8cd-80a8-4ec8-8447-8fd795152ba2\" (3 sections), \"session:2026-05-05T08:06:34Z:e6abd84e-cb55-4407-9b19-a8315f617148\" (1 sections), \"session:2026-05-05T11:50:01Z:db6a8d55-96d5-449b-9336-d5e04dcaf371\" (17 sections), \"session:2026-05-02T11:49:44Z:daaa49e9-c9af-4a4f-8517-38423e16ad7a\" (24 sections), \"session:2026-05-05T11:05:07Z:d4428ccc-cd87-446f-8080-af1a5c382bd4\" (21 sections), \"session:2026-04-17T05:27:43Z:cb974449-3b7d-4dad-8d33-980569c6e70a\" (18 sections), \"session:2026-05-06T12:28:49Z:cb39772f-7361-4773-84e8-eea932db4162\" (6 sections), \"session:2026-04-17T08:07:08Z:c6957938-8384-41b9-afdf-9dd55a721167\" (10 sections), \"session:2026-04-23T12:48:32Z:c4aa42f0-6edd-48ce-945d-451667304edc\" (17 sections), \"session:2026-04-23T07:52:10Z:be964068-82f8-4567-8b8e-ac2bda722774\" (3 sections), \"session:2026-04-19T09:08:29Z:ba46dd13-b970-40c7-bfc5-92da958265ba\" (7 sections), \"session:2026-05-02T14:35:10Z:b6ee889a-9e05-4fca-b23d-ee0d1e39f613\" (18 sections), \"session:2026-05-02T15:34:26Z:b3c6515e-8353-4a0f-b227-1c7a260d16e7\" (4 sections), \"session:2026-05-06T07:27:39Z:b17eaf12-3990-4203-a3f2-78f6ee8855b7\" (23 sections), \"session:2026-04-27T08:07:31Z:a54a5ec4-799b-4d52-a79f-e5d662f22e2e\" (6 sections), \"session:2026-04-18T15:51:19Z:9ae45444-5886-4c65-b22a-2f180d397c7d\" (3 sections), \"session:2026-04-07T11:48:58Z:95a68dc3-3faf-4d25-b145-aafa5b677c09\" (12 sections), \"session:2026-04-19T10:32:23Z:901e3cce-4b91-4e02-8878-d0761793ca1c\" (3 sections), \"session:2026-04-18T16:00:08Z:89152237-fcdb-46e3-be04-c7f1b9befd64\" (2 sections), \"session:2026-04-16T12:59:33Z:84eb34b4-e007-49ee-a424-52d7ff809f59\" (9 sections), \"session:2026-04-08T07:11:57Z:75cd910d-35b6-4ad3-ba73-aa4876dc158d\" (11 sections), \"session:2026-04-23T10:08:42Z:757ad290-142b-4a98-9e91-dac6d2869e7b\" (1 sections), \"session:2026-04-16T12:15:49Z:668c1f5e-27a5-425d-b3ce-9435491a23b6\" (16 sections), \"session:2026-05-04T09:41:45Z:63c46706-3309-4742-afa2-690854f4bb41\" (30 sections), \"session:2026-05-06T08:38:47Z:61210e08-5099-4ee4-b88e-1e9a6a2ebd82\" (45 sections), \"session:2026-05-04T11:00:22Z:5d41225e-6b97-4578-83b2-cc6bb65d1170\" (28 sections), \"session:2026-04-17T10:58:02Z:5c8e39ee-1bfb-4f15-97ec-f5e4580b4c2b\" (10 sections), \"session:2026-04-19T13:28:41Z:5b38dcb6-364d-40cb-8793-541d6dc34130\" (2 sections), \"session:2026-05-06T12:06:00Z:5aa44d39-eb2d-4039-ba14-d905e2e52472\" (3 sections), \"session:2026-04-17T08:49:09Z:4ba92de5-4b24-41e3-9fe9-eada77a4a564\" (20 sections), \"session:2026-04-07T12:23:49Z:4068321f-6193-4a99-8c2f-c137e84d9ac7\" (16 sections), \"session:2026-04-19T11:05:59Z:3b156d9e-d722-416d-91f4-5c67cfe4931e\" (2 sections), \"session:2026-04-19T13:56:34Z:3061808e-679c-42a8-8672-49b55e5f855a\" (11 sections), \"session:2026-05-05T06:26:30Z:2b89586f-000b-405d-b142-a7f6072407b5\" (20 sections), \"session:2026-04-23T08:37:17Z:299931d0-c233-4ef0-9449-007ccd1254f7\" (14 sections), \"session:2026-04-13T09:06:51Z:2474d0dd-98e4-4a91-bc38-4c365a43c5a5\" (5 sections), \"session:2026-04-08T10:19:31Z:19b2e755-f3a4-455f-8956-08ac06067a78\" (12 sections), \"session:2026-04-19T11:05:17Z:1859cbdc-f26a-4080-aa22-05bf280ab277\" (1 sections), \"session:2026-04-08T06:43:11Z:16767f44-15b1-4583-bb8c-928cd332ba18\" (7 sections), \"session:2026-04-23T12:24:08Z:139fc667-f0da-4532-8de0-bf41197b08e1\" (18 sections), \"session:2026-04-27T06:59:12Z:0f7b29a7-280c-410a-96bb-13aa55e5d3a4\" (7 sections), \"session:2026-04-23T07:22:07Z:02818cbc-eeac-49d0-9f92-d94a1e313c7d\" (7 sections), \"batch:session package focused tests,store server cmd focused tests\" (2 sections), \"execute:shell\" (12 sections), \"batch:config cleanup session ttl,server cleanup tool stats exact,tool search include k\" (5 sections), \"batch:schema sources indexes,statements source indexes\" (2 sections), \"batch:sanitize implementation patterns,transcript offsets current,chunk offset extract\" (4 sections), \"batch:parse.go current numbered chunks,parse tests names,session docs implementation p\" (3 sections), \"batch:session sweep secret sanitize test,store index chunked tests search\" (2 sections), \"batch:sanitize references in changed code,index.go current relevant,session sweep inde\" (5 sections), \"batch:feature diff production,session production files numbered,store changed producti\" (23 sections), \"batch:repo capy db tracking,capy db plaintext probe,capy ignore references\" (3 sections), \"batch:master base diff stat,master base diff name status\" (2 sections), \"batch:branch identity,main base diff stat,main base diff name status,recent commits\" (4 sections), \"batch:related function locations,session sweep file numbered,server integration helper\" (8 sections), \"batch:current canary_test.go numbered,current integration session sweep section number\" (5 sections), \"batch:branch diff stat,branch diff name status,branch diff full\" (6 sections), \"batch:git diff full,current integration_test.go numbered,current sessionflow tasks num\" (5 sections), \"batch:sanitize references in session/store,sanitize implementation patterns\" (2 sections), \"batch:run race targeted tests with fts5\" (2 sections), \"kk:go-review-code-concurrency-v0.12.2\" (11 sections), \"kk:go-review-code-performance-v0.12.2\" (8 sections), \"kk:go-review-code-naming-v0.12.2\" (9 sections), \"batch:run targeted tests with fts5 tag,store close implementation\" (2 sections), \"batch:run targeted tests,contentstore close behavior\" (2 sections), \"batch:parse.go key contracts,chunk.go full,transcript.go key contracts,store index key\" (6 sections), \"batch:session package symbols,store ListSources and IndexChunked definitions\" (2 sections), \"batch:HEAD commit metadata and stats,HEAD full diff,current internal/server/server.go,\" (10 sections), \"kk:go-review-code-error-handling-v0.12.2\" (6 sections), \"kk:go-review-code-code-style-v0.12.2\" (19 sections), \"kk:go-review-code-security-v0.12.2\" (14 sections), \"kk:go-review-code-removal-plan-v0.12.2\" (4 sections), \"kk:go-review-code-solid-checklist-v0.12.2\" (7 sections), \"batch:go always checklist line counts,go conditional checklist line counts\" (2 sections), \"batch:subagent-jsonl-types,subagent-first-msgs,subagent-user-content,subagent-assistan\" (9 sections), \"batch:jsonl-first-lines,jsonl-types,user-msg-structure,user-msg-content-types,assistan\" (8 sections), \"batch:db path config references,config current numbered\" (2 sections), \"batch:branch diff db encryption,current contributing numbered,current readme numbered,\" (17 sections), \"batch:capy encrypt symbols,cmd capy encrypt current numbered\" (2 sections), \"batch:store encryption symbols,store open checkpoint symbols,store encryption current \" (4 sections), \"batch:tracked docs diff,task file current numbered,untracked test current numbered,rep\" (4 sections), \"batch:head-diff,cmd-capy-encrypt,cmd-capy-main,store-encryption,store-encryption-poc-t\" (31 sections), \"batch:diff check head,gofmt check changed go files\" (2 sections), \"batch:db encryption implementation phase relevant,db encryption design key handling re\" (2 sections), \"batch:db encryption tasks relevant numbered,db encryption docs references\" (2 sections), \"batch:store encryption current numbered,store store.go encryption relevant current num\" (6 sections), \"kk-go-review-naming-v0.12.1\" (9 sections), \"kk-go-review-database-v0.12.1\" (19 sections), \"kk-go-review-security-injection-ref-v0.12.1\" (15 sections), \"batch:head diff summary,head diff store encryption,head diff store tests,head diff ser\" (21 sections), \"kk-go-review-solid-checklist-v0.12.1\" (7 sections), \"kk-go-review-removal-plan-v0.12.1\" (4 sections), \"batch:go review index line count,go review index\" (5 sections), \"batch:go detection,python detection,java detection,js_ts detection,kotlin detection,k8\" (33 sections), \"kk-review-code-shared-profile-detection\" (9 sections), \"file:/Users/sergio/.codex/plugins/cache/claude-toolbox/kk/0.12.1/skills/review-code/review-process.md\" (5 sections), \"batch:review skill supporting doc line counts,review-code skill directory files\" (2 sections), \"batch:head metadata,head parent count,head diff stat filenames only\" (3 sections), \"batch:db encryption implementation phase 1 references\" (1 sections), \"batch:build tag references\" (1 sections), \"kk:go-review-code-concurrency\" (11 sections), \"kk:go-review-code-naming\" (9 sections), \"kk:go-review-code-database\" (19 sections), \"kk:go-review-code-security-injection-ref\" (15 sections), \"file:internal/store/encryption_poc_test.go\" (10 sections), \"batch:head diff encryption poc test,head diff module docs\" (9 sections), \"kk:go-review-code-code-style\" (19 sections), \"kk:go-review-code-error-handling\" (6 sections), \"kk:go-review-code-security\" (14 sections), \"kk:go-review-code-removal-plan\" (4 sections), \"kk:go-review-code-solid-checklist\" (7 sections), \"execute:python\" (2 sections), \"file:/Users/sergio/.codex/plugins/cache/claude-toolbox/kk/0.12.0-rc.2/skills/review-code/review-process.md\" (5 sections), \"batch:head commit metadata,head changed filenames\" (2 sections), \"kk:arch-decisions\" (1 sections), \"batch:search-go,store-go,types-go,config-go,server-go,tool-search-go,tool-batch-go,too\" (25 sections), \"batch:store-diff,server-diff,hooks-claude-code-diff,executor-diff,truncate-diff,db-bas\" (42 sections), \"batch:git-log-full,git-log-detailed,git-tags,src-diff-summary,hooks-diff-summary,packa\" (25 sections), \"batch:index-full,batch-search-path,intent-search-impl,search-rest,fetch-context\" (7 sections), \"batch:adr-017,store-types,store-index-sig,cleanup-current,search-current,tool-fetch,sc\" (32 sections), \"capy-routing-fix-read-vs-execute-file-2026-04-13\" (7 sections), \"batch:Check sessionstart.mjs,Check precompact.mjs,Check userpromptsubmit.mjs\" (3 sections), \"batch:Find context-mode hook files,Check pretooluse.mjs,Check posttooluse.mjs\" (4 sections), \"batch:Check context-mode hooks config,Check settings.json for hooks\" (2 sections), \"batch:Check precompact hook,Check userpromptsubmit hook,Check routing.go for RoutingBl\" (3 sections), \"batch:Find all adapter implementations,Check claude adapter\" (2 sections), \"batch:List adapter files,Check adapter interface/implementation\" (2 sections), \"batch:Find adapter directory,Check guidance hook implementation,Check posttooluse impl\" (5 sections), \"batch:Check hook.go main file,Check settings files for hook definitions,Check pretoolu\" (5 sections), \"batch:Find all settings files,List .claude directory structure,Search for hook referen\" (5 sections), \"go-selfupdate-creativeprojects\" (44 sections), \"go-selfupdate-minio\" (19 sections), \"batch:Project structure,File tree overview,Settings files,Go files in cmd directory,Al\" (5 sections), \"batch:Read setup.go source,Read setup_test.go,Read precommit_test.go,Read doctor.go,Re\" (16 sections), \"effective-go\" (59 sections), \"wal-checkpoint-test\" (1 sections), \"session-learnings\" (14 sections), \"sync-design\" (15 sections), \"port-design\" (62 sections), \"adr-016-wal-checkpoint\" (6 sections), \"adr-015-db-not-in-git\" (5 sections), \"adr-014-proximity\" (5 sections), \"adr-013-fetch-ttl\" (5 sections), \"adr-012-contenttype\" (5 sections), \"adr-011-cleanup-policy\" (5 sections), \"adr-010-rrf-layers\" (5 sections), \"adr-009-bm25-weight\" (5 sections), \"adr-008-config-system\" (5 sections), \"adr-007-freshness-dedup\" (5 sections), \"adr-006-persistent-kb\" (5 sections), \"adr-005-background-mode\" (5 sections), \"adr-004-track-access\" (5 sections), \"adr-003-markdown-detection\" (5 sections), \"adr-002-code-fence\" (5 sections), \"adr-001-pragmas\" (5 sections)"}]}]},"uuid":"c3e6fff4-a11f-45ca-b62e-572ab7485118","timestamp":"2026-05-07T06:52:40.014Z","toolUseResult":[{"type":"text","text":"## session indexing architecture decisions\nNo results found.\n\n---\n\n## tool content extraction parsing design\nNo results found.\n\nIndexed sources: \"issue-41-raw-jsonl\" (28 sections), \"issue-41-gist\" (9 sections), \"batch:parse.go,transcript.go,chunk.go,sweep.go,test files\" (5 sections), \"session:2026-05-06T13:05:37Z:94f3b628-7092-4069-b1ec-b611f15844a1\" (22 sections), \"session:2026-05-06T19:39:16Z:e64d32c7-f3dd-44b8-891d-4d6335d0f000\" (1 sections), \"session:2026-04-15T18:12:18Z:e8f8f990-7043-46f8-916e-1bf0b867d012\" (6 sections), \"session:2026-04-22T18:51:29Z:db6baad6-8790-4b4c-bf20-74eb5ee38dc5\" (10 sections), \"session:2026-04-08T17:47:31Z:d3633c47-e5ab-4d35-89db-237fe5fc42ab\" (26 sections), \"session:2026-04-15T18:22:38Z:cf3c57c6-304e-4759-8e6a-5086e8f5b0b4\" (20 sections), \"session:2026-04-24T18:02:10Z:c64dda60-2c51-495a-b2af-3d1d0f809d2d\" (11 sections), \"session:2026-04-07T19:51:16Z:c31031c5-3671-4004-bef5-dc3d4429a69a\" (12 sections), \"session:2026-05-04T05:30:35Z:c2648222-9820-4b91-a0fe-254ae93cd1c6\" (17 sections), \"session:2026-04-23T17:56:19Z:b5ee5362-8700-4c9c-8278-51cb58c2e096\" (51 sections), \"session:2026-04-05T11:51:27Z:ad7189ff-3cf9-4191-9800-62424843a5ed\" (6 sections), \"session:2026-04-05T12:16:55Z:7c713c7d-b34d-40d7-95dc-992af8923de5\" (11 sections), \"session:2026-04-07T18:41:54Z:72a85cca-8e58-4277-91b7-629c57f6419d\" (21 sections), \"session:2026-04-26T17:26:24Z:48dcf227-7186-4ba7-b069-833b3839589d\" (23 sections), \"session:2026-04-23T19:51:10Z:345c7159-4247-40ff-afba-9b04ae31b055\" (7 sections), \"session:2026-04-08T19:11:29Z:1b759791-9b45-4a70-a735-11b76f276e1c\" (10 sections), \"session:2026-04-05T12:06:26Z:102ad512-759a-43ad-8805-353ce341f65c\" (1 sections), \"kk:review-findings\" (1 sections), \"batch:sessiondir tests and callers\" (1 sections), \"batch:head patch and stats,changed files current content with line numbers,changed fil\" (13 sections), \"batch:sweep command files,sweep flag definition,session dir resolution in internal\" (3 sections), \"session:2026-05-05T09:33:27Z:ff088094-8367-4e78-9b99-64561d02d75d\" (3 sections), \"session:2026-04-16T12:30:26Z:fd608f9e-8cdb-4583-954f-a107e62a5f2c\" (17 sections), \"session:2026-05-05T09:48:24Z:f23d189d-f75a-4d7b-ae19-1ae8a39241fc\" (12 sections), \"session:2026-04-23T13:18:03Z:ef466af2-564e-400e-8a98-d76edc638ca2\" (14 sections), \"session:2026-04-27T09:42:38Z:ed58e8cd-80a8-4ec8-8447-8fd795152ba2\" (3 sections), \"session:2026-05-05T08:06:34Z:e6abd84e-cb55-4407-9b19-a8315f617148\" (1 sections), \"session:2026-05-05T11:50:01Z:db6a8d55-96d5-449b-9336-d5e04dcaf371\" (17 sections), \"session:2026-05-02T11:49:44Z:daaa49e9-c9af-4a4f-8517-38423e16ad7a\" (24 sections), \"session:2026-05-05T11:05:07Z:d4428ccc-cd87-446f-8080-af1a5c382bd4\" (21 sections), \"session:2026-04-17T05:27:43Z:cb974449-3b7d-4dad-8d33-980569c6e70a\" (18 sections), \"session:2026-05-06T12:28:49Z:cb39772f-7361-4773-84e8-eea932db4162\" (6 sections), \"session:2026-04-17T08:07:08Z:c6957938-8384-41b9-afdf-9dd55a721167\" (10 sections), \"session:2026-04-23T12:48:32Z:c4aa42f0-6edd-48ce-945d-451667304edc\" (17 sections), \"session:2026-04-23T07:52:10Z:be964068-82f8-4567-8b8e-ac2bda722774\" (3 sections), \"session:2026-04-19T09:08:29Z:ba46dd13-b970-40c7-bfc5-92da958265ba\" (7 sections), \"session:2026-05-02T14:35:10Z:b6ee889a-9e05-4fca-b23d-ee0d1e39f613\" (18 sections), \"session:2026-05-02T15:34:26Z:b3c6515e-8353-4a0f-b227-1c7a260d16e7\" (4 sections), \"session:2026-05-06T07:27:39Z:b17eaf12-3990-4203-a3f2-78f6ee8855b7\" (23 sections), \"session:2026-04-27T08:07:31Z:a54a5ec4-799b-4d52-a79f-e5d662f22e2e\" (6 sections), \"session:2026-04-18T15:51:19Z:9ae45444-5886-4c65-b22a-2f180d397c7d\" (3 sections), \"session:2026-04-07T11:48:58Z:95a68dc3-3faf-4d25-b145-aafa5b677c09\" (12 sections), \"session:2026-04-19T10:32:23Z:901e3cce-4b91-4e02-8878-d0761793ca1c\" (3 sections), \"session:2026-04-18T16:00:08Z:89152237-fcdb-46e3-be04-c7f1b9befd64\" (2 sections), \"session:2026-04-16T12:59:33Z:84eb34b4-e007-49ee-a424-52d7ff809f59\" (9 sections), \"session:2026-04-08T07:11:57Z:75cd910d-35b6-4ad3-ba73-aa4876dc158d\" (11 sections), \"session:2026-04-23T10:08:42Z:757ad290-142b-4a98-9e91-dac6d2869e7b\" (1 sections), \"session:2026-04-16T12:15:49Z:668c1f5e-27a5-425d-b3ce-9435491a23b6\" (16 sections), \"session:2026-05-04T09:41:45Z:63c46706-3309-4742-afa2-690854f4bb41\" (30 sections), \"session:2026-05-06T08:38:47Z:61210e08-5099-4ee4-b88e-1e9a6a2ebd82\" (45 sections), \"session:2026-05-04T11:00:22Z:5d41225e-6b97-4578-83b2-cc6bb65d1170\" (28 sections), \"session:2026-04-17T10:58:02Z:5c8e39ee-1bfb-4f15-97ec-f5e4580b4c2b\" (10 sections), \"session:2026-04-19T13:28:41Z:5b38dcb6-364d-40cb-8793-541d6dc34130\" (2 sections), \"session:2026-05-06T12:06:00Z:5aa44d39-eb2d-4039-ba14-d905e2e52472\" (3 sections), \"session:2026-04-17T08:49:09Z:4ba92de5-4b24-41e3-9fe9-eada77a4a564\" (20 sections), \"session:2026-04-07T12:23:49Z:4068321f-6193-4a99-8c2f-c137e84d9ac7\" (16 sections), \"session:2026-04-19T11:05:59Z:3b156d9e-d722-416d-91f4-5c67cfe4931e\" (2 sections), \"session:2026-04-19T13:56:34Z:3061808e-679c-42a8-8672-49b55e5f855a\" (11 sections), \"session:2026-05-05T06:26:30Z:2b89586f-000b-405d-b142-a7f6072407b5\" (20 sections), \"session:2026-04-23T08:37:17Z:299931d0-c233-4ef0-9449-007ccd1254f7\" (14 sections), \"session:2026-04-13T09:06:51Z:2474d0dd-98e4-4a91-bc38-4c365a43c5a5\" (5 sections), \"session:2026-04-08T10:19:31Z:19b2e755-f3a4-455f-8956-08ac06067a78\" (12 sections), \"session:2026-04-19T11:05:17Z:1859cbdc-f26a-4080-aa22-05bf280ab277\" (1 sections), \"session:2026-04-08T06:43:11Z:16767f44-15b1-4583-bb8c-928cd332ba18\" (7 sections), \"session:2026-04-23T12:24:08Z:139fc667-f0da-4532-8de0-bf41197b08e1\" (18 sections), \"session:2026-04-27T06:59:12Z:0f7b29a7-280c-410a-96bb-13aa55e5d3a4\" (7 sections), \"session:2026-04-23T07:22:07Z:02818cbc-eeac-49d0-9f92-d94a1e313c7d\" (7 sections), \"batch:session package focused tests,store server cmd focused tests\" (2 sections), \"execute:shell\" (12 sections), \"batch:config cleanup session ttl,server cleanup tool stats exact,tool search include k\" (5 sections), \"batch:schema sources indexes,statements source indexes\" (2 sections), \"batch:sanitize implementation patterns,transcript offsets current,chunk offset extract\" (4 sections), \"batch:parse.go current numbered chunks,parse tests names,session docs implementation p\" (3 sections), \"batch:session sweep secret sanitize test,store index chunked tests search\" (2 sections), \"batch:sanitize references in changed code,index.go current relevant,session sweep inde\" (5 sections), \"batch:feature diff production,session production files numbered,store changed producti\" (23 sections), \"batch:repo capy db tracking,capy db plaintext probe,capy ignore references\" (3 sections), \"batch:master base diff stat,master base diff name status\" (2 sections), \"batch:branch identity,main base diff stat,main base diff name status,recent commits\" (4 sections), \"batch:related function locations,session sweep file numbered,server integration helper\" (8 sections), \"batch:current canary_test.go numbered,current integration session sweep section number\" (5 sections), \"batch:branch diff stat,branch diff name status,branch diff full\" (6 sections), \"batch:git diff full,current integration_test.go numbered,current sessionflow tasks num\" (5 sections), \"batch:sanitize references in session/store,sanitize implementation patterns\" (2 sections), \"batch:run race targeted tests with fts5\" (2 sections), \"kk:go-review-code-concurrency-v0.12.2\" (11 sections), \"kk:go-review-code-performance-v0.12.2\" (8 sections), \"kk:go-review-code-naming-v0.12.2\" (9 sections), \"batch:run targeted tests with fts5 tag,store close implementation\" (2 sections), \"batch:run targeted tests,contentstore close behavior\" (2 sections), \"batch:parse.go key contracts,chunk.go full,transcript.go key contracts,store index key\" (6 sections), \"batch:session package symbols,store ListSources and IndexChunked definitions\" (2 sections), \"batch:HEAD commit metadata and stats,HEAD full diff,current internal/server/server.go,\" (10 sections), \"kk:go-review-code-error-handling-v0.12.2\" (6 sections), \"kk:go-review-code-code-style-v0.12.2\" (19 sections), \"kk:go-review-code-security-v0.12.2\" (14 sections), \"kk:go-review-code-removal-plan-v0.12.2\" (4 sections), \"kk:go-review-code-solid-checklist-v0.12.2\" (7 sections), \"batch:go always checklist line counts,go conditional checklist line counts\" (2 sections), \"batch:subagent-jsonl-types,subagent-first-msgs,subagent-user-content,subagent-assistan\" (9 sections), \"batch:jsonl-first-lines,jsonl-types,user-msg-structure,user-msg-content-types,assistan\" (8 sections), \"batch:db path config references,config current numbered\" (2 sections), \"batch:branch diff db encryption,current contributing numbered,current readme numbered,\" (17 sections), \"batch:capy encrypt symbols,cmd capy encrypt current numbered\" (2 sections), \"batch:store encryption symbols,store open checkpoint symbols,store encryption current \" (4 sections), \"batch:tracked docs diff,task file current numbered,untracked test current numbered,rep\" (4 sections), \"batch:head-diff,cmd-capy-encrypt,cmd-capy-main,store-encryption,store-encryption-poc-t\" (31 sections), \"batch:diff check head,gofmt check changed go files\" (2 sections), \"batch:db encryption implementation phase relevant,db encryption design key handling re\" (2 sections), \"batch:db encryption tasks relevant numbered,db encryption docs references\" (2 sections), \"batch:store encryption current numbered,store store.go encryption relevant current num\" (6 sections), \"kk-go-review-naming-v0.12.1\" (9 sections), \"kk-go-review-database-v0.12.1\" (19 sections), \"kk-go-review-security-injection-ref-v0.12.1\" (15 sections), \"batch:head diff summary,head diff store encryption,head diff store tests,head diff ser\" (21 sections), \"kk-go-review-solid-checklist-v0.12.1\" (7 sections), \"kk-go-review-removal-plan-v0.12.1\" (4 sections), \"batch:go review index line count,go review index\" (5 sections), \"batch:go detection,python detection,java detection,js_ts detection,kotlin detection,k8\" (33 sections), \"kk-review-code-shared-profile-detection\" (9 sections), \"file:/Users/sergio/.codex/plugins/cache/claude-toolbox/kk/0.12.1/skills/review-code/review-process.md\" (5 sections), \"batch:review skill supporting doc line counts,review-code skill directory files\" (2 sections), \"batch:head metadata,head parent count,head diff stat filenames only\" (3 sections), \"batch:db encryption implementation phase 1 references\" (1 sections), \"batch:build tag references\" (1 sections), \"kk:go-review-code-concurrency\" (11 sections), \"kk:go-review-code-naming\" (9 sections), \"kk:go-review-code-database\" (19 sections), \"kk:go-review-code-security-injection-ref\" (15 sections), \"file:internal/store/encryption_poc_test.go\" (10 sections), \"batch:head diff encryption poc test,head diff module docs\" (9 sections), \"kk:go-review-code-code-style\" (19 sections), \"kk:go-review-code-error-handling\" (6 sections), \"kk:go-review-code-security\" (14 sections), \"kk:go-review-code-removal-plan\" (4 sections), \"kk:go-review-code-solid-checklist\" (7 sections), \"execute:python\" (2 sections), \"file:/Users/sergio/.codex/plugins/cache/claude-toolbox/kk/0.12.0-rc.2/skills/review-code/review-process.md\" (5 sections), \"batch:head commit metadata,head changed filenames\" (2 sections), \"kk:arch-decisions\" (1 sections), \"batch:search-go,store-go,types-go,config-go,server-go,tool-search-go,tool-batch-go,too\" (25 sections), \"batch:store-diff,server-diff,hooks-claude-code-diff,executor-diff,truncate-diff,db-bas\" (42 sections), \"batch:git-log-full,git-log-detailed,git-tags,src-diff-summary,hooks-diff-summary,packa\" (25 sections), \"batch:index-full,batch-search-path,intent-search-impl,search-rest,fetch-context\" (7 sections), \"batch:adr-017,store-types,store-index-sig,cleanup-current,search-current,tool-fetch,sc\" (32 sections), \"capy-routing-fix-read-vs-execute-file-2026-04-13\" (7 sections), \"batch:Check sessionstart.mjs,Check precompact.mjs,Check userpromptsubmit.mjs\" (3 sections), \"batch:Find context-mode hook files,Check pretooluse.mjs,Check posttooluse.mjs\" (4 sections), \"batch:Check context-mode hooks config,Check settings.json for hooks\" (2 sections), \"batch:Check precompact hook,Check userpromptsubmit hook,Check routing.go for RoutingBl\" (3 sections), \"batch:Find all adapter implementations,Check claude adapter\" (2 sections), \"batch:List adapter files,Check adapter interface/implementation\" (2 sections), \"batch:Find adapter directory,Check guidance hook implementation,Check posttooluse impl\" (5 sections), \"batch:Check hook.go main file,Check settings files for hook definitions,Check pretoolu\" (5 sections), \"batch:Find all settings files,List .claude directory structure,Search for hook referen\" (5 sections), \"go-selfupdate-creativeprojects\" (44 sections), \"go-selfupdate-minio\" (19 sections), \"batch:Project structure,File tree overview,Settings files,Go files in cmd directory,Al\" (5 sections), \"batch:Read setup.go source,Read setup_test.go,Read precommit_test.go,Read doctor.go,Re\" (16 sections), \"effective-go\" (59 sections), \"wal-checkpoint-test\" (1 sections), \"session-learnings\" (14 sections), \"sync-design\" (15 sections), \"port-design\" (62 sections), \"adr-016-wal-checkpoint\" (6 sections), \"adr-015-db-not-in-git\" (5 sections), \"adr-014-proximity\" (5 sections), \"adr-013-fetch-ttl\" (5 sections), \"adr-012-contenttype\" (5 sections), \"adr-011-cleanup-policy\" (5 sections), \"adr-010-rrf-layers\" (5 sections), \"adr-009-bm25-weight\" (5 sections), \"adr-008-config-system\" (5 sections), \"adr-007-freshness-dedup\" (5 sections), \"adr-006-persistent-kb\" (5 sections), \"adr-005-background-mode\" (5 sections), \"adr-004-track-access\" (5 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{"type":"last-prompt","lastPrompt":"Explore this issue I discovered yesterday when comparing an indexed session vs raw jsonl session file : https://github.com/serpro69/capy/issues/41 Perform a thorough analysis of the issue. Then use kk…","leafUuid":"171d940a-09ec-4453-bf05-746577e85749","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"ai-title","aiTitle":"Analyze session indexing issue and document RAG design v2","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
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{"parentUuid":"43a6e9d8-083b-49c0-bf11-5d4741ae06d3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01JPoMrqbc1MmnhtWcNDa8oe","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EsYCClkIDRgCKkAqW0y5pfQuXURwvpa6eWfpZwrPp454yVz/uifsAt4sPnzAgrK9RIu3f+FzrvPjJJkTy7SfaKZn0qe5X0PE339KMg9jbGF1ZGUtb3B1cy00LTY4ABIMysggUSmq7asu+GAAGgzlcQAGTU1jRMEWg5ciMEYBs7qsq5P2c1PMABMK5S1aUtLN16b2CarUFfnnaTBqVwnrO1q3y1rt9R4o8goVBCqaAQxO0xiLxH+VgroOlLH4YY72rLSnOPRtHKGGA+YVcVn4SY7Mr8HByVnjHxlINm5LjxfC75E4GdFCH8AwPInboQ0PXg0DcXYmB01g/2f0fzf5hHhalslgjgTfE2hokMtitVJLjEyeD5wKHUkMEOWwkYEeZg4NO90XAmnrA90uRIEyl5gLBtIjde33LLYXCYqp0DSiL6uUpUcPVcwYAQ=="}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":799,"cache_read_input_tokens":95697,"output_tokens":922,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":799,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmcajZhDVK47SejdNvM","type":"assistant","uuid":"c9f81bed-6255-42ff-97ad-3dbf22eaa1ff","timestamp":"2026-05-07T06:54:56.949Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"c9f81bed-6255-42ff-97ad-3dbf22eaa1ff","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01JPoMrqbc1MmnhtWcNDa8oe","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019UZcjRXvpqD3c7w49EY5Jm","name":"mcp__pal__chat","input":{"prompt":"I'm designing v2 of a session indexing feature for \"capy\" — an MCP server that indexes Claude Code session JSONL files into SQLite FTS5 for BM25 search. The v1 works but loses ~60% of content because tool_use blocks are stripped to just tool names.\n\n## The problem\n\nClaude Code sessions contain assistant messages with `tool_use` blocks. Each has a `name` (e.g., \"Read\", \"Bash\", \"mcp__pal__chat\") and an `input` JSON object with the tool's arguments. Currently we extract only the name, losing all input content.\n\nThree categories of loss:\n1. **Tool-only turns (~60%)** — Assistant turns that are pure tool_use with no text. These vanish entirely (the turn pair builder discards turns with empty assistant text).\n2. **Conversational MCP tool content** — Tools like `mcp__pal__chat` carry full human-readable design reasoning in their `input.prompt` field. This is dropped.\n3. **Navigation context** — `Read` calls have `file_path`, `Bash` calls have `command`, `Agent` calls have `prompt`+`description`. All dropped.\n\n## The design question\n\nI need to decide the tool content extraction strategy. Three options:\n\n**(A) Whitelist-based** — Table-driven registry mapping tool names to extractor functions. Each extractor knows which input fields to preserve and how to format them. New tools = new table entry.\n\nExample extractors:\n- `Read` → `[Read: internal/store/types.go]`\n- `Bash` → `[Bash: git log --oneline -10]` (truncated)\n- `mcp__pal__chat` → full input.prompt text as a quoted block\n- `Agent` → `[Agent: Explore — \"description text\"]` + input.prompt\n- `mcp__capy__*` → skip (self-referential)\n- unknown tools → name only (fallback)\n\n**(B) Pattern-based** — Match on name patterns (`mcp__pal__*` → conversational, `mcp__capy__*` → skip). Auto-classify new tools by namespace.\n\n**(C) Capture-all with truncation** — Preserve truncated input for all tools except a deny-list. Simple but noisy.\n\n## My lean\n\nI'm leaning toward (A) because:\n- MCP namespaces don't reliably predict input format (e.g., `mcp__serena__find_symbol` has structured JSON, `mcp__pal__chat` has human-readable text)\n- Capture-all would index lots of noise (base64 thinking signatures, raw JSON)\n- A table-driven registry is still easy to extend (one-line entries)\n\nBut I have concerns:\n- The whitelist is fragile — new tools are invisible until someone adds them\n- Do we need a \"default extractor\" that does something smarter than name-only for unknown tools?\n\nWhat's your take? Which approach, and what should the default fallback behavior be for unknown tools?","model":"gemini-3.1-pro-preview","thinking_mode":"high","working_directory_absolute_path":"/Users/sergio/Projects/personal/capy","absolute_file_paths":["/Users/sergio/Projects/personal/capy/internal/session/parse.go"]},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":799,"cache_read_input_tokens":95697,"output_tokens":922,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":799,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanmcajZhDVK47SejdNvM","type":"assistant","uuid":"b50d2247-6e86-4c05-9b84-53e16de2f658","timestamp":"2026-05-07T06:55:14.068Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"b50d2247-6e86-4c05-9b84-53e16de2f658","isSidechain":false,"promptId":"b6ed9565-1e5c-4d42-b8a9-388024448917","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019UZcjRXvpqD3c7w49EY5Jm","type":"tool_result","content":[{"type":"text","text":"{\"status\":\"continuation_available\",\"content\":\"I completely agree with your lean toward **(A) Whitelist-based (Table-driven registry)**. When dealing with SQLite FTS5 and BM25, index hygiene is paramount. BM25 relies heavily on term frequencies and document lengths; dumping raw JSON, massive base64 encoded strings, or highly repetitive structural keys into the index will severely dilute the relevance of actual conversational keywords. \\n\\nYour concerns about the whitelist being fragile are valid, but they can be mitigated by combining (A) with a highly constrained version of (C) for your default fallback.\\n\\nHere is my take on how to structure this, along with a few critical catches in your current code that are causing the tool-only turn drops.\\n\\n### 1. The Strategy: Registry with a \\\"Smart Text\\\" Fallback\\nGo excels at explicit, table-driven designs. A registry of `map[string]ToolExtractor` is idiomatic, trivial to test, and safe. \\n\\nFor the **fallback behavior for unknown tools**, do not fall back to name-only, and do not capture all input. Instead, use a **shallow text extractor**:\\n- Parse the unknown tool's input JSON.\\n- Extract all top-level keys (to know *what* was passed).\\n- Extract any string values that are under a certain length limit (e.g., < 100 characters). \\n- Discard arrays, objects, numbers, and massive strings.\\n\\nThis automatically captures context like `{\\\"file_path\\\": \\\"internal/store.go\\\"}` or `{\\\"query\\\": \\\"database connection\\\"}` for newly added tools, while safely dropping massive payloads like `{\\\"file_contents\\\": \\\"...100kb...\\\"}`.\\n\\n### 2. Fixing the \\\"Tool-only turns vanish\\\" bug\\nIf you look at `buildTurnPairs` around line 335:\\n```go\\n\\tflushPair := func() {\\n\\t\\tif pendingHuman == nil || len(currentAssistantText) == 0 {\\n\\t\\t\\t// ... drops the turn\\n\\t\\t\\treturn\\n\\t\\t}\\n```\\nTool-only turns are dropped because `currentAssistantText` is empty. \\n\\nIf your `ToolExtractor` registry returns formatted text (e.g., `[Tool: Read internal/store.go]`), you should append this directly into the assistant's text representation inside `extractAssistantBlocks`. By converting tool payloads into readable text blocks, `len(currentAssistantText)` will no longer be zero, automatically fixing your 60% data loss issue without having to rewrite the turn-pairing logic.\\n\\n### 3. Necessary Code Adjustments\\n\\nTo implement this, you need to update `contentBlock` to capture the tool input. Looking at line 74, `contentBlock` is currently missing the `input` field entirely:\\n\\n```go\\n// Around line 68\\ntype contentBlock struct {\\n\\tType string `json:\\\"type\\\"`\\n\\tText string `json:\\\"text\\\"`\\n\\tName string `json:\\\"name\\\"`\\n\\tID string `json:\\\"id\\\"`\\n\\tInput json.RawMessage `json:\\\"input\\\"` // <-- MUST ADD THIS\\n}\\n```\\n\\nThen, you can update `extractAssistantBlocks` (around line 304) to use your registry:\\n\\n```go\\nfunc extractAssistantBlocks(blocks []contentBlock) (string, []string) {\\n\\tvar texts []string\\n\\tvar toolNames []string\\n\\tfor _, b := range blocks {\\n\\t\\tswitch b.Type {\\n\\t\\tcase \\\"text\\\":\\n\\t\\t\\tt := strings.TrimSpace(b.Text)\\n\\t\\t\\tif t != \\\"\\\" {\\n\\t\\t\\t\\ttexts = append(texts, t)\\n\\t\\t\\t}\\n\\t\\tcase \\\"tool_use\\\":\\n\\t\\t\\tif b.Name != \\\"\\\" {\\n\\t\\t\\t\\ttoolNames = append(toolNames, b.Name)\\n\\t\\t\\t\\t// Extract the tool content into searchable text\\n\\t\\t\\t\\ttoolText := DefaultRegistry.Extract(b.Name, b.Input)\\n\\t\\t\\t\\tif toolText != \\\"\\\" {\\n\\t\\t\\t\\t\\ttexts = append(texts, toolText)\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\treturn strings.Join(texts, \\\"\\\\n\\\"), toolNames\\n}\\n```\\n\\n### Proposed Registry Signature\\nKeep the registry implementation clean and isolated, perhaps in a new file `internal/session/tools.go`:\\n\\n```go\\ntype ToolExtractor func(input json.RawMessage) string\\n\\ntype ExtractorRegistry struct {\\n\\textractors map[string]ToolExtractor\\n\\tfallback ToolExtractor\\n}\\n\\nfunc (r *ExtractorRegistry) Extract(name string, input json.RawMessage) string {\\n\\tif ext, ok := r.extractors[name]; ok {\\n\\t\\treturn ext(input)\\n\\t}\\n\\treturn r.fallback(input)\\n}\\n```\\n\\n### Summary\\n1. Go with **(A)**. It protects your BM25 index.\\n2. Build a **Smart Fallback** that extracts top-level keys and short strings for unknown tools.\\n3. Add `Input json.RawMessage` to `contentBlock`.\\n4. Append the extracted tool text to the normal assistant text array to prevent the turn-pair builder from dropping tool-only turns.\\n\\nPlease respond using the continuation_id from this response - your input is needed to proceed. Let me know if you agree with this hybrid fallback approach, and if you'd like me to generate the complete `tools.go` registry implementation and the exact diffs for `parse.go` using the structured code generation protocol!\\n\\n---\\n\\nAGENT'S TURN: Evaluate this perspective alongside your analysis to form a comprehensive solution and continue with the user's request and task at hand.\",\"content_type\":\"text\",\"metadata\":{\"tool_name\":\"chat\",\"conversation_ready\":true,\"model_used\":\"gemini-3.1-pro-preview\",\"provider_used\":\"google\"},\"continuation_offer\":{\"continuation_id\":\"8b07d69a-b17e-40b9-bd4f-cb3d382a1296\",\"note\":\"You can continue this conversation for 49 more exchanges.\",\"remaining_turns\":49}}"}]}]},"uuid":"70fd21ba-3166-493e-8d86-40442ffbded6","timestamp":"2026-05-07T06:56:30.226Z","toolUseResult":[{"type":"text","text":"{\"status\":\"continuation_available\",\"content\":\"I completely agree with your lean toward **(A) Whitelist-based (Table-driven registry)**. When dealing with SQLite FTS5 and BM25, index hygiene is paramount. BM25 relies heavily on term frequencies and document lengths; dumping raw JSON, massive base64 encoded strings, or highly repetitive structural keys into the index will severely dilute the relevance of actual conversational keywords. \\n\\nYour concerns about the whitelist being fragile are valid, but they can be mitigated by combining (A) with a highly constrained version of (C) for your default fallback.\\n\\nHere is my take on how to structure this, along with a few critical catches in your current code that are causing the tool-only turn drops.\\n\\n### 1. The Strategy: Registry with a \\\"Smart Text\\\" Fallback\\nGo excels at explicit, table-driven designs. A registry of `map[string]ToolExtractor` is idiomatic, trivial to test, and safe. \\n\\nFor the **fallback behavior for unknown tools**, do not fall back to name-only, and do not capture all input. Instead, use a **shallow text extractor**:\\n- Parse the unknown tool's input JSON.\\n- Extract all top-level keys (to know *what* was passed).\\n- Extract any string values that are under a certain length limit (e.g., < 100 characters). \\n- Discard arrays, objects, numbers, and massive strings.\\n\\nThis automatically captures context like `{\\\"file_path\\\": \\\"internal/store.go\\\"}` or `{\\\"query\\\": \\\"database connection\\\"}` for newly added tools, while safely dropping massive payloads like `{\\\"file_contents\\\": \\\"...100kb...\\\"}`.\\n\\n### 2. Fixing the \\\"Tool-only turns vanish\\\" bug\\nIf you look at `buildTurnPairs` around line 335:\\n```go\\n\\tflushPair := func() {\\n\\t\\tif pendingHuman == nil || len(currentAssistantText) == 0 {\\n\\t\\t\\t// ... drops the turn\\n\\t\\t\\treturn\\n\\t\\t}\\n```\\nTool-only turns are dropped because `currentAssistantText` is empty. \\n\\nIf your `ToolExtractor` registry returns formatted text (e.g., `[Tool: Read internal/store.go]`), you should append this directly into the assistant's text representation inside `extractAssistantBlocks`. By converting tool payloads into readable text blocks, `len(currentAssistantText)` will no longer be zero, automatically fixing your 60% data loss issue without having to rewrite the turn-pairing logic.\\n\\n### 3. Necessary Code Adjustments\\n\\nTo implement this, you need to update `contentBlock` to capture the tool input. Looking at line 74, `contentBlock` is currently missing the `input` field entirely:\\n\\n```go\\n// Around line 68\\ntype contentBlock struct {\\n\\tType string `json:\\\"type\\\"`\\n\\tText string `json:\\\"text\\\"`\\n\\tName string `json:\\\"name\\\"`\\n\\tID string `json:\\\"id\\\"`\\n\\tInput json.RawMessage `json:\\\"input\\\"` // <-- MUST ADD THIS\\n}\\n```\\n\\nThen, you can update `extractAssistantBlocks` (around line 304) to use your registry:\\n\\n```go\\nfunc extractAssistantBlocks(blocks []contentBlock) (string, []string) {\\n\\tvar texts []string\\n\\tvar toolNames []string\\n\\tfor _, b := range blocks {\\n\\t\\tswitch b.Type {\\n\\t\\tcase \\\"text\\\":\\n\\t\\t\\tt := strings.TrimSpace(b.Text)\\n\\t\\t\\tif t != \\\"\\\" {\\n\\t\\t\\t\\ttexts = append(texts, t)\\n\\t\\t\\t}\\n\\t\\tcase \\\"tool_use\\\":\\n\\t\\t\\tif b.Name != \\\"\\\" {\\n\\t\\t\\t\\ttoolNames = append(toolNames, b.Name)\\n\\t\\t\\t\\t// Extract the tool content into searchable text\\n\\t\\t\\t\\ttoolText := DefaultRegistry.Extract(b.Name, b.Input)\\n\\t\\t\\t\\tif toolText != \\\"\\\" {\\n\\t\\t\\t\\t\\ttexts = append(texts, toolText)\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\treturn strings.Join(texts, \\\"\\\\n\\\"), toolNames\\n}\\n```\\n\\n### Proposed Registry Signature\\nKeep the registry implementation clean and isolated, perhaps in a new file `internal/session/tools.go`:\\n\\n```go\\ntype ToolExtractor func(input json.RawMessage) string\\n\\ntype ExtractorRegistry struct {\\n\\textractors map[string]ToolExtractor\\n\\tfallback ToolExtractor\\n}\\n\\nfunc (r *ExtractorRegistry) Extract(name string, input json.RawMessage) string {\\n\\tif ext, ok := r.extractors[name]; ok {\\n\\t\\treturn ext(input)\\n\\t}\\n\\treturn r.fallback(input)\\n}\\n```\\n\\n### Summary\\n1. Go with **(A)**. It protects your BM25 index.\\n2. Build a **Smart Fallback** that extracts top-level keys and short strings for unknown tools.\\n3. Add `Input json.RawMessage` to `contentBlock`.\\n4. Append the extracted tool text to the normal assistant text array to prevent the turn-pair builder from dropping tool-only turns.\\n\\nPlease respond using the continuation_id from this response - your input is needed to proceed. Let me know if you agree with this hybrid fallback approach, and if you'd like me to generate the complete `tools.go` registry implementation and the exact diffs for `parse.go` using the structured code generation protocol!\\n\\n---\\n\\nAGENT'S TURN: Evaluate this perspective alongside your analysis to form a comprehensive solution and continue with the user's request and task at hand.\",\"content_type\":\"text\",\"metadata\":{\"tool_name\":\"chat\",\"conversation_ready\":true,\"model_used\":\"gemini-3.1-pro-preview\",\"provider_used\":\"google\"},\"continuation_offer\":{\"continuation_id\":\"8b07d69a-b17e-40b9-bd4f-cb3d382a1296\",\"note\":\"You can continue this conversation for 49 more exchanges.\",\"remaining_turns\":49}}"}],"sourceToolAssistantUUID":"b50d2247-6e86-4c05-9b84-53e16de2f658","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"e44ff683-5d6c-4f8e-9171-ec4ea889f563","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Mb9Nu9otZKyM8oATXyrEgD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EBsis9x2hmtxckjAh6bwqU","name":"mcp__pal__chat","input":{"prompt":"Good analysis. I agree on the core approach — (A) with registry. But I want to push on two points before we converge:\n\n## 1. Smart fallback vs simple fallback\n\nThe \"extract short strings from top-level keys\" fallback sounds reasonable, but I'm skeptical it adds much value in practice:\n- Most unknown MCP tools have structured JSON inputs (nested objects, arrays of IDs, etc.) — extracting top-level short strings yields noise like field names or enum values\n- The tools we actually care about (pal, Agent, Read, Bash, Edit, Write, Grep) are a known, small set\n- Adding a JSON-walking fallback adds complexity and test surface for marginal gain\n\nCounter-proposal: the fallback just emits `[ToolName: (unknown tool)]` — pure name, no input. If a new valuable tool appears, adding an extractor is a one-line table entry. This follows YAGNI.\n\nWhat's your honest assessment — is the smart fallback worth its complexity, or is name-only sufficient for unknowns?\n\n## 2. Transcript representation of conversational tools\n\nThis is the harder design question. There are two fundamentally different categories:\n\n**Navigation tools** (Read, Bash, Edit, Write) — compact one-liners:\n```\n[Read: internal/store/types.go]\n[Bash: git log --oneline -10]\n```\n\n**Conversational tools** (mcp__pal__chat, Agent) — carry full paragraphs of reasoning. If we just truncate them to one line, we lose the exact content that issue #41 says is most valuable.\n\nOptions for conversational tools:\n**(i)** Inline expanded — inject full prompt text as an indented block under the tool line:\n```\n[mcp__pal__chat]:\n Review this design for session indexing. Consider:\n 1. Whether the chunking strategy preserves enough context...\n (truncated at 500 chars)\n```\n\n**(ii)** Sub-agent-style delimiters — like we already do for sub-agents:\n```\n--- PAL: chat ---\nReview this design for session indexing...\n--- End PAL ---\n```\n\n**(iii)** Separate \"tool context\" section per turn, after the `[Tools: ...]` line:\n```\nAssistant: I'll consult PAL on this.\n[Tools: mcp__pal__chat]\n[PAL prompt: Review this design for session indexing...]\n```\n\nI lean toward (ii) because it reuses an existing pattern (sub-agent blocks) and makes conversational MCP content a first-class citizen in the transcript. The BM25 title can include \"PAL: chat\" just like it includes \"Subagent: Explore\".\n\nWhat do you think — and should we also capture PAL's *response* (the tool_result), or just the prompt?","model":"gemini-3.1-pro-preview","thinking_mode":"high","continuation_id":"8b07d69a-b17e-40b9-bd4f-cb3d382a1296","working_directory_absolute_path":"/Users/sergio/Projects/personal/capy"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2584,"cache_read_input_tokens":96496,"output_tokens":1087,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2584,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011Canmjgbj7zEWS7remQQ5g","type":"assistant","uuid":"27a0a958-2032-466a-bff4-426cc1c7814d","timestamp":"2026-05-07T06:56:55.690Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"27a0a958-2032-466a-bff4-426cc1c7814d","isSidechain":false,"promptId":"b6ed9565-1e5c-4d42-b8a9-388024448917","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EBsis9x2hmtxckjAh6bwqU","type":"tool_result","content":[{"type":"text","text":"{\"status\":\"continuation_available\",\"content\":\"Your instinct on YAGNI is completely correct. Let's break down both points.\\n\\n### 1. Smart Fallback vs. Simple Fallback\\nI completely concede this point to you. Your counter-proposal is much better. \\n\\nA JSON-walking fallback is exactly the kind of speculative over-engineering we should avoid. As you pointed out, extracting a random string like `\\\"value\\\": \\\"uuid-1234\\\"` or `\\\"mode\\\": \\\"fast\\\"` from an unknown tool's input adds zero semantic value to a BM25 index and just pollutes the term frequency. \\n\\nEmitting `[Tool: (unknown tool name)]` is the perfect fallback. It leaves a footprint that the tool was called (which is useful for search if someone explicitly queries `mcp__new_tool`), without bloating the index. Adding a new extractor to a table later is trivial when we actually care about a tool's payload.\\n\\n### 2. Transcript Representation & Tool Results\\n\\nI strongly support **Option (ii) (Sub-agent-style delimiters)**. Reusing the existing visual/structural pattern makes the parser's output predictable. It also clearly demarcates context boundaries for any downstream text chunking or embedding steps you might add later, keeping conversational tool inputs distinct from the primary assistant text.\\n\\n**Regarding your question: should we capture the `tool_result` (the response) or just the prompt?**\\n\\nI recommend capturing **only the prompt** and explicitly dropping the `tool_result`. Here is the reasoning:\\n\\n1. **Assistant Synthesis:** In Claude's standard execution loop, after a tool returns a `tool_result`, the Assistant's *next* conversational turn almost always synthesizes, summarizes, or acts upon that result. If PAL gives a great architectural answer, the main Assistant will echo the relevant parts back to the user. Indexing the raw `tool_result` creates heavy duplication.\\n2. **Index Bloat:** Raw `tool_result` blocks often contain unstructured noise, stringified JSON, or system overhead. Injecting that into FTS5 will severely dilute the BM25 relevance scores for the actual human/assistant conversation.\\n3. **Current Code Alignment:** If you look at `extractUserText` in `parse.go` (around line 281), it currently returns an empty string if it doesn't find a `text` block, effectively dropping `tool_result`-only messages. Keeping this behavior means we don't have to redesign the user-message extraction logic.\\n\\n### Next Steps\\n\\nWe now have a solid, bounded design:\\n1. **Registry Pattern** for specific tools.\\n2. **YAGNI Fallback** (`[Tool: Name]`) for unknown tools.\\n3. **Delimiter Formatting** (`--- PAL: chat ---`) for conversational tools.\\n4. **Ignore `tool_result`**, capturing only the tool inputs.\\n\\nIf you are aligned with this final constraint (dropping `tool_result`), we have everything we need to implement the registry. \\n\\nPlease respond using the continuation_id from this response - your input is needed to proceed. Let me know if you agree with skipping the `tool_result`, and if so, instruct me to generate the `tools.go` file and the `parse.go` diff using the structured code protocol.\\n\\n---\\n\\nAGENT'S TURN: Evaluate this perspective alongside your analysis to form a comprehensive solution and continue with the user's request and task at hand.\",\"content_type\":\"text\",\"metadata\":{\"tool_name\":\"chat\",\"conversation_ready\":true,\"model_used\":\"gemini-3.1-pro-preview\",\"provider_used\":\"google\"},\"continuation_offer\":{\"continuation_id\":\"8b07d69a-b17e-40b9-bd4f-cb3d382a1296\",\"note\":\"You can continue this conversation for 44 more exchanges.\",\"remaining_turns\":44}}"}]}]},"uuid":"602a083c-c828-4be2-a9e6-4fa924d0c706","timestamp":"2026-05-07T06:57:42.836Z","toolUseResult":[{"type":"text","text":"{\"status\":\"continuation_available\",\"content\":\"Your instinct on YAGNI is completely correct. Let's break down both points.\\n\\n### 1. Smart Fallback vs. Simple Fallback\\nI completely concede this point to you. Your counter-proposal is much better. \\n\\nA JSON-walking fallback is exactly the kind of speculative over-engineering we should avoid. As you pointed out, extracting a random string like `\\\"value\\\": \\\"uuid-1234\\\"` or `\\\"mode\\\": \\\"fast\\\"` from an unknown tool's input adds zero semantic value to a BM25 index and just pollutes the term frequency. \\n\\nEmitting `[Tool: (unknown tool name)]` is the perfect fallback. It leaves a footprint that the tool was called (which is useful for search if someone explicitly queries `mcp__new_tool`), without bloating the index. Adding a new extractor to a table later is trivial when we actually care about a tool's payload.\\n\\n### 2. Transcript Representation & Tool Results\\n\\nI strongly support **Option (ii) (Sub-agent-style delimiters)**. Reusing the existing visual/structural pattern makes the parser's output predictable. It also clearly demarcates context boundaries for any downstream text chunking or embedding steps you might add later, keeping conversational tool inputs distinct from the primary assistant text.\\n\\n**Regarding your question: should we capture the `tool_result` (the response) or just the prompt?**\\n\\nI recommend capturing **only the prompt** and explicitly dropping the `tool_result`. Here is the reasoning:\\n\\n1. **Assistant Synthesis:** In Claude's standard execution loop, after a tool returns a `tool_result`, the Assistant's *next* conversational turn almost always synthesizes, summarizes, or acts upon that result. If PAL gives a great architectural answer, the main Assistant will echo the relevant parts back to the user. Indexing the raw `tool_result` creates heavy duplication.\\n2. **Index Bloat:** Raw `tool_result` blocks often contain unstructured noise, stringified JSON, or system overhead. Injecting that into FTS5 will severely dilute the BM25 relevance scores for the actual human/assistant conversation.\\n3. **Current Code Alignment:** If you look at `extractUserText` in `parse.go` (around line 281), it currently returns an empty string if it doesn't find a `text` block, effectively dropping `tool_result`-only messages. Keeping this behavior means we don't have to redesign the user-message extraction logic.\\n\\n### Next Steps\\n\\nWe now have a solid, bounded design:\\n1. **Registry Pattern** for specific tools.\\n2. **YAGNI Fallback** (`[Tool: Name]`) for unknown tools.\\n3. **Delimiter Formatting** (`--- PAL: chat ---`) for conversational tools.\\n4. **Ignore `tool_result`**, capturing only the tool inputs.\\n\\nIf you are aligned with this final constraint (dropping `tool_result`), we have everything we need to implement the registry. \\n\\nPlease respond using the continuation_id from this response - your input is needed to proceed. Let me know if you agree with skipping the `tool_result`, and if so, instruct me to generate the `tools.go` file and the `parse.go` diff using the structured code protocol.\\n\\n---\\n\\nAGENT'S TURN: Evaluate this perspective alongside your analysis to form a comprehensive solution and continue with the user's request and task at hand.\",\"content_type\":\"text\",\"metadata\":{\"tool_name\":\"chat\",\"conversation_ready\":true,\"model_used\":\"gemini-3.1-pro-preview\",\"provider_used\":\"google\"},\"continuation_offer\":{\"continuation_id\":\"8b07d69a-b17e-40b9-bd4f-cb3d382a1296\",\"note\":\"You can continue this conversation for 44 more exchanges.\",\"remaining_turns\":44}}"}],"sourceToolAssistantUUID":"27a0a958-2032-466a-bff4-426cc1c7814d","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"type":"last-prompt","lastPrompt":"Chat with pal about it, do several rounds until you reach a consensus","leafUuid":"602a083c-c828-4be2-a9e6-4fa924d0c706","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"ai-title","aiTitle":"Analyze session indexing issue and document RAG design v2","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"permission-mode","permissionMode":"default","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
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{"parentUuid":"abece95b-412f-448b-afee-ed519edeb01e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01P4rBGBQ8CLxuxNsLJx8zTD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011b3fetUfGCwbz8zCj2Ror7","name":"mcp__pal__chat","input":{"prompt":"We're aligned on the core design. Let me push on three remaining edge cases before we lock it down.\n\n## 1. Truncation budget for conversational tools\n\nPAL prompts can be 2000+ chars. Agent prompts can be 3000+. Our chunk size limit is 4096 bytes. If a single PAL prompt consumes an entire chunk, BM25 ranking degrades because the chunk loses the surrounding conversational context.\n\nProposal: cap conversational tool content at **512 chars** with a `... (truncated, N chars total)` suffix. This preserves the opening context (which usually states the question/goal) while leaving room for the surrounding conversation in the chunk.\n\nIs 512 the right number, or should it be higher/lower?\n\n## 2. Agent tool overlap with sub-agent JSONL\n\nThe `Agent` tool is special — its `input.prompt` contains the delegation instruction, but sub-agent sessions are *already* parsed from `<uuid>/subagents/agent-*.jsonl` and appended to the transcript as sub-agent blocks. If we also expand the Agent tool_use input, we get:\n- The delegation prompt (from the tool_use input)\n- The full sub-agent conversation (from the JSONL)\n\nThese are complementary (intent vs execution), but the Agent prompt often restates context the assistant just said. Should we:\n**(a)** Include both — delegation prompt + sub-agent conversation (accept some redundancy)\n**(b)** Skip Agent prompt expansion when a matching sub-agent JSONL exists (only expand Agent prompts for agents whose JSONL we can't find)\n**(c)** Always include a truncated Agent prompt (e.g., just the `description` field, ~50 chars) and rely on the sub-agent JSONL for the full content\n\n## 3. Deny-list scope\n\nCurrently I'm thinking `mcp__capy__*` (self-referential) should be skipped. But what about:\n- `mcp__claude_ai_*` (authentication tools) — pure noise\n- `mcp__context7__*` (doc lookups) — the query is mildly interesting but the response is in the assistant text\n- `mcp__serena__*` (code analysis) — structured JSON inputs, not human-readable\n\nShould the deny-list be broad (skip all MCP tools by default, whitelist only `mcp__pal__*`) or narrow (only deny `mcp__capy__*` and auth tools)?","model":"gemini-3.1-pro-preview","thinking_mode":"high","continuation_id":"8b07d69a-b17e-40b9-bd4f-cb3d382a1296","working_directory_absolute_path":"/Users/sergio/Projects/personal/capy"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2024,"cache_read_input_tokens":99080,"output_tokens":1027,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2024,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011Canmq32CNn9QCWoJUnC56","type":"assistant","uuid":"0479b8c2-c693-4453-a18f-105c29126920","timestamp":"2026-05-07T06:58:06.753Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"0479b8c2-c693-4453-a18f-105c29126920","isSidechain":false,"promptId":"b6ed9565-1e5c-4d42-b8a9-388024448917","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011b3fetUfGCwbz8zCj2Ror7","type":"tool_result","content":[{"type":"text","text":"{\"status\":\"continuation_available\",\"content\":\"These are excellent, practical edge cases to iron out. Here is my take on each:\\n\\n### 1. Truncation budget for conversational tools\\n**512 characters is the sweet spot.** \\nIn search indexing, the beginning of a prompt usually contains the core intent or instruction (\\\"Write a function that...\\\", \\\"Review this file for...\\\"), while the tail end is often pasted code, structural noise, or repeated context. 512 bytes consumes roughly 12.5% of your 4096-byte chunk limit, leaving plenty of room for the surrounding human/assistant dialogue. The `... (truncated, N chars total)` suffix is a great touch, as it leaves a footprint of the tool's actual weight.\\n\\n### 2. Agent tool overlap with sub-agent JSONL\\nI strongly recommend **Option (c) — Always include a truncated Agent prompt (e.g., just the `description` field)**. \\nBecause `parse.go` already appends the sub-agent conversation to the transcript, including the full delegation prompt creates heavy index duplication of the exact same context. The `description` field is typically a highly condensed, human-readable summary of the agent's goal (e.g., \\\"Explore directory structure to find authentication logic\\\"). Formatting it as `[Agent: Explore directory structure...]` provides the perfect connective tissue between the parent conversation and the sub-agent block without redundancy. \\n\\n### 3. Deny-list scope\\nGo with a **narrow deny-list** that completely drops the tool from the transcript. \\nRemember, our established default fallback for unknown tools is simply emitting `[Tool: (unknown tool name)]`. This fallback is already extremely low-noise. Therefore, you only need a deny-list for tools that you want to **completely erase** from the index because even their name adds zero semantic value (or is actively detrimental). \\n\\nI would explicitly deny:\\n- `mcp__capy__*` (self-referential indexing noise)\\n- `mcp__claude_ai_*` (auth/system noise)\\n\\nFor things like `mcp__context7__*` or `mcp__serena__*`, let them fall back to the default `[Tool: mcp__serena__find_symbol]`. This leaves a helpful breadcrumb in the BM25 index if someone specifically searches for times the assistant used the `serena` tool, without bloating the chunk with structured JSON.\\n\\n### Ready to Build\\nWe have a complete specification:\\n1. **Whitelist Registry** for specific tools (`Read`, `Bash`, `mcp__pal__chat`, `Agent`).\\n2. **Conversational Formatting** (`--- PAL: chat ---`) with a strict **512-char truncation**.\\n3. **Agent Handling** extracts only the `description` field.\\n4. **Narrow Deny-List** completely drops `capy` and `claude_ai` namespaces.\\n5. **YAGNI Fallback** emits `[Tool: Name]` for everything else.\\n\\nIf you are ready, let's implement it. \\n\\nPlease respond using the continuation_id from this response - your input is needed to proceed. Instruct me to generate the complete `tools.go` file and the required modifications to `parse.go` using the structured code generation protocol!\\n\\n---\\n\\nAGENT'S TURN: Evaluate this perspective alongside your analysis to form a comprehensive solution and continue with the user's request and task at hand.\",\"content_type\":\"text\",\"metadata\":{\"tool_name\":\"chat\",\"conversation_ready\":true,\"model_used\":\"gemini-3.1-pro-preview\",\"provider_used\":\"google\"},\"continuation_offer\":{\"continuation_id\":\"8b07d69a-b17e-40b9-bd4f-cb3d382a1296\",\"note\":\"You can continue this conversation for 41 more exchanges.\",\"remaining_turns\":41}}"}]}]},"uuid":"ca36894b-46bf-48fd-8dc0-b8c40ccb8499","timestamp":"2026-05-07T06:59:02.380Z","toolUseResult":[{"type":"text","text":"{\"status\":\"continuation_available\",\"content\":\"These are excellent, practical edge cases to iron out. Here is my take on each:\\n\\n### 1. Truncation budget for conversational tools\\n**512 characters is the sweet spot.** \\nIn search indexing, the beginning of a prompt usually contains the core intent or instruction (\\\"Write a function that...\\\", \\\"Review this file for...\\\"), while the tail end is often pasted code, structural noise, or repeated context. 512 bytes consumes roughly 12.5% of your 4096-byte chunk limit, leaving plenty of room for the surrounding human/assistant dialogue. The `... (truncated, N chars total)` suffix is a great touch, as it leaves a footprint of the tool's actual weight.\\n\\n### 2. Agent tool overlap with sub-agent JSONL\\nI strongly recommend **Option (c) — Always include a truncated Agent prompt (e.g., just the `description` field)**. \\nBecause `parse.go` already appends the sub-agent conversation to the transcript, including the full delegation prompt creates heavy index duplication of the exact same context. The `description` field is typically a highly condensed, human-readable summary of the agent's goal (e.g., \\\"Explore directory structure to find authentication logic\\\"). Formatting it as `[Agent: Explore directory structure...]` provides the perfect connective tissue between the parent conversation and the sub-agent block without redundancy. \\n\\n### 3. Deny-list scope\\nGo with a **narrow deny-list** that completely drops the tool from the transcript. \\nRemember, our established default fallback for unknown tools is simply emitting `[Tool: (unknown tool name)]`. This fallback is already extremely low-noise. Therefore, you only need a deny-list for tools that you want to **completely erase** from the index because even their name adds zero semantic value (or is actively detrimental). \\n\\nI would explicitly deny:\\n- `mcp__capy__*` (self-referential indexing noise)\\n- `mcp__claude_ai_*` (auth/system noise)\\n\\nFor things like `mcp__context7__*` or `mcp__serena__*`, let them fall back to the default `[Tool: mcp__serena__find_symbol]`. This leaves a helpful breadcrumb in the BM25 index if someone specifically searches for times the assistant used the `serena` tool, without bloating the chunk with structured JSON.\\n\\n### Ready to Build\\nWe have a complete specification:\\n1. **Whitelist Registry** for specific tools (`Read`, `Bash`, `mcp__pal__chat`, `Agent`).\\n2. **Conversational Formatting** (`--- PAL: chat ---`) with a strict **512-char truncation**.\\n3. **Agent Handling** extracts only the `description` field.\\n4. **Narrow Deny-List** completely drops `capy` and `claude_ai` namespaces.\\n5. **YAGNI Fallback** emits `[Tool: Name]` for everything else.\\n\\nIf you are ready, let's implement it. \\n\\nPlease respond using the continuation_id from this response - your input is needed to proceed. Instruct me to generate the complete `tools.go` file and the required modifications to `parse.go` using the structured code generation protocol!\\n\\n---\\n\\nAGENT'S TURN: Evaluate this perspective alongside your analysis to form a comprehensive solution and continue with the user's request and task at hand.\",\"content_type\":\"text\",\"metadata\":{\"tool_name\":\"chat\",\"conversation_ready\":true,\"model_used\":\"gemini-3.1-pro-preview\",\"provider_used\":\"google\"},\"continuation_offer\":{\"continuation_id\":\"8b07d69a-b17e-40b9-bd4f-cb3d382a1296\",\"note\":\"You can continue this conversation for 41 more exchanges.\",\"remaining_turns\":41}}"}],"sourceToolAssistantUUID":"0479b8c2-c693-4453-a18f-105c29126920","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"cda10165-8f76-4d70-b9e3-be9e191de915","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Ya5UcbjfCsgtT4GKvyXb56","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JTAZ4HHqAY1o2y8LimNyVk","name":"mcp__pal__chat","input":{"prompt":"We're nearly converged. One more round on the last open question, then I want to validate the full spec.\n\n## Chunking improvements\n\nWith tool content now filling in previously-empty turns, the indexed transcript will be significantly larger. A session that previously produced 20 turn pairs might now produce 30-40 (because tool-only turns are no longer discarded). This affects the chunking math:\n\nCurrently: window=4 turns, overlap=1, step=3. For 20 turns → 7 chunks.\nAfter v2: same 4/1 window. For 35 turns → 12 chunks.\n\nMore chunks is actually good (finer granularity), but each turn is now larger (tool content adds bytes). The risk is more chunks hitting the 4096 byte oversized-split threshold, which breaks them at paragraph boundaries and loses the turn-pair-aligned structure.\n\nOptions:\n**(A)** Keep 4/1 — the existing parameters. More turns will mean more chunks, but each chunk covers the same conversational window. Oversized splits handle the edge cases.\n**(B)** Reduce to 3/1 — smaller windows, finer granularity. Each chunk has fewer turns, reducing the chance of hitting oversized limits. But less conversational context per chunk.\n**(C)** Keep 4 but increase overlap to 2 — more redundancy, better boundary coverage, but 33% more chunks and storage.\n\nMy lean: **(A)** — keep 4/1. The oversized splitting already works, and increasing chunk count via smaller windows or more overlap adds storage cost without proportional retrieval improvement (BM25 already works well with 4-turn windows).\n\n## Full spec validation\n\nLet me state the complete design for confirmation:\n\n1. **contentBlock** gains `Input json.RawMessage`\n2. **ExtractorRegistry** in `internal/session/tools.go`:\n - `Read` → `[Read: <file_path>]`\n - `Bash` → `[Bash: <command, 200 chars>]`\n - `Write` → `[Write: <file_path>]`\n - `Edit` → `[Edit: <file_path>]`\n - `Grep` → `[Grep: <pattern>]`\n - `mcp__pal__chat` → `--- PAL: chat ---\\n<prompt, 512 chars>\\n--- End PAL ---`\n - `mcp__pal__thinkdeep` → `--- PAL: thinkdeep ---\\n<prompt, 512 chars>\\n--- End PAL ---`\n - `mcp__pal__codereview` → `--- PAL: codereview ---\\n<prompt, 512 chars>\\n--- End PAL ---`\n - Other `mcp__pal__*` → same pattern (could use prefix match `mcp__pal__`)\n - `Agent` → `[Agent: <subagent_type> — \"<description>\"]`\n - `mcp__capy__*` → skip (return \"\")\n - `mcp__claude_ai_*` → skip (return \"\")\n - Default → `[Tool: <name>]`\n3. **extractAssistantBlocks** appends tool text to the texts slice (fixing tool-only turn loss)\n4. **Transcript format** unchanged for navigation tools (inline), delimiter blocks for conversational tools\n5. **Chunking** stays 4/1 (no change)\n6. **Session-level gate** (`IsIndexable`) still uses human/assistant text counts, not tool summaries — to avoid indexing sessions that are pure tool automation with no conversation\n7. **tool_result** still dropped (assistant synthesizes it anyway)\n\nDoes this spec have any gaps or contradictions?","model":"gemini-3.1-pro-preview","thinking_mode":"high","continuation_id":"8b07d69a-b17e-40b9-bd4f-cb3d382a1296","working_directory_absolute_path":"/Users/sergio/Projects/personal/capy"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1967,"cache_read_input_tokens":101104,"output_tokens":1480,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1967,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011Canmvu6cjeYHUWYuSyJws","type":"assistant","uuid":"91e4e6f1-b42e-407a-9da5-19e7147819b7","timestamp":"2026-05-07T06:59:34.331Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"91e4e6f1-b42e-407a-9da5-19e7147819b7","isSidechain":false,"promptId":"b6ed9565-1e5c-4d42-b8a9-388024448917","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JTAZ4HHqAY1o2y8LimNyVk","type":"tool_result","content":[{"type":"text","text":"{\"status\":\"continuation_available\",\"content\":\"Your choice to stick with **(A) Keep 4/1 chunking** is spot on. Tuning chunk sizes before evaluating the real-world BM25 retrieval impact of the newly injected tool text is premature optimization. The existing oversized chunk splitter will act as a safety valve exactly as designed.\\n\\nAs for the 7-point specification, it is extremely tight, but **there is exactly one gap (a contradiction between point 3 and point 6)**:\\n\\n**The Gap: `TotalAssistantChars` Contamination**\\nIn Point 6, you rightly state that the session-level gate (`IsIndexable`) should still use human/assistant text counts, *excluding* tool summaries. However, in Point 3, we are appending the extracted tool text directly into the `texts` slice to fix the 60% turn loss. \\n\\nCurrently, `buildTurnPairs` calculates `totalChars` simply by doing `totalChars += len(aText)`. If `aText` now includes tool formatting (like `[Bash: git log...]` or `--- PAL: chat ---`), `totalChars` will artificially inflate, causing sessions that are 100% automated tool noise (which should be skipped) to suddenly pass the `TotalAssistantChars >= 200` threshold.\\n\\n**The Fix:** \\nWe must track \\\"pure text length\\\" separately during the block extraction phase. `extractAssistantBlocks` needs to return a third value (`pureTextLen`), which we propagate into `parsedMessage` and sum up inside `buildTurnPairs`. This preserves the exact behavior of `IsIndexable` while allowing the tool strings to live alongside the conversational text.\\n\\nHere is the complete implementation of the spec, including the fix for the `TotalAssistantChars` calculation.\\n\\nThis keeps your `TotalAssistantChars` mathematically identical to v1, ensuring your index gate functions perfectly while capturing the context previously lost to tool formatting.\\n\\nCONTINUING FROM PREVIOUS DISCUSSION: Implementation plan saved to `/Users/sergio/Projects/personal/capy/pal_generated.code`.\\n\\nCRITICAL WARNING: `/Users/sergio/Projects/personal/capy/pal_generated.code` may contain partial code snippets from another AI with limited context. Wholesale copy-pasting MAY CORRUPT your codebase with incomplete logic and missing lines.\\n\\nRequired workflow:\\n1. For <UPDATED_EXISTING_FILE:...> blocks: Partial excerpts only. Understand the intent and implement using YOUR full context. DO NOT copy wholesale - adapt ideas to fit actual structure.\\n2. For <NEWFILE:...> blocks: Understand proposal and create properly. Verify completeness (imports, syntax, logic).\\n3. Validation: After ALL changes, verify correctness using available tools (build/compile, linters, tests, type checks, etc.).\\n4. Cleanup: After you're done reading and applying changes, delete `/Users/sergio/Projects/personal/capy/pal_generated.code` once verified to prevent stale instructions.\\n\\nTreat this as a patch-set requiring manual integration, not ready-to-paste code. You have full codebase context - use it.\\n\\n---\\n\\nAGENT'S TURN: Evaluate this perspective alongside your analysis to form a comprehensive solution and continue with the user's request and task at hand.\",\"content_type\":\"text\",\"metadata\":{\"tool_name\":\"chat\",\"conversation_ready\":true,\"model_used\":\"gemini-3.1-pro-preview\",\"provider_used\":\"google\"},\"continuation_offer\":{\"continuation_id\":\"8b07d69a-b17e-40b9-bd4f-cb3d382a1296\",\"note\":\"You can continue this conversation for 38 more exchanges.\",\"remaining_turns\":38}}"}]}]},"uuid":"d6956e69-d25e-4a06-867d-ebceee128aa1","timestamp":"2026-05-07T07:01:41.251Z","toolUseResult":[{"type":"text","text":"{\"status\":\"continuation_available\",\"content\":\"Your choice to stick with **(A) Keep 4/1 chunking** is spot on. Tuning chunk sizes before evaluating the real-world BM25 retrieval impact of the newly injected tool text is premature optimization. The existing oversized chunk splitter will act as a safety valve exactly as designed.\\n\\nAs for the 7-point specification, it is extremely tight, but **there is exactly one gap (a contradiction between point 3 and point 6)**:\\n\\n**The Gap: `TotalAssistantChars` Contamination**\\nIn Point 6, you rightly state that the session-level gate (`IsIndexable`) should still use human/assistant text counts, *excluding* tool summaries. However, in Point 3, we are appending the extracted tool text directly into the `texts` slice to fix the 60% turn loss. \\n\\nCurrently, `buildTurnPairs` calculates `totalChars` simply by doing `totalChars += len(aText)`. If `aText` now includes tool formatting (like `[Bash: git log...]` or `--- PAL: chat ---`), `totalChars` will artificially inflate, causing sessions that are 100% automated tool noise (which should be skipped) to suddenly pass the `TotalAssistantChars >= 200` threshold.\\n\\n**The Fix:** \\nWe must track \\\"pure text length\\\" separately during the block extraction phase. `extractAssistantBlocks` needs to return a third value (`pureTextLen`), which we propagate into `parsedMessage` and sum up inside `buildTurnPairs`. This preserves the exact behavior of `IsIndexable` while allowing the tool strings to live alongside the conversational text.\\n\\nHere is the complete implementation of the spec, including the fix for the `TotalAssistantChars` calculation.\\n\\nThis keeps your `TotalAssistantChars` mathematically identical to v1, ensuring your index gate functions perfectly while capturing the context previously lost to tool formatting.\\n\\nCONTINUING FROM PREVIOUS DISCUSSION: Implementation plan saved to `/Users/sergio/Projects/personal/capy/pal_generated.code`.\\n\\nCRITICAL WARNING: `/Users/sergio/Projects/personal/capy/pal_generated.code` may contain partial code snippets from another AI with limited context. Wholesale copy-pasting MAY CORRUPT your codebase with incomplete logic and missing lines.\\n\\nRequired workflow:\\n1. For <UPDATED_EXISTING_FILE:...> blocks: Partial excerpts only. Understand the intent and implement using YOUR full context. DO NOT copy wholesale - adapt ideas to fit actual structure.\\n2. For <NEWFILE:...> blocks: Understand proposal and create properly. Verify completeness (imports, syntax, logic).\\n3. Validation: After ALL changes, verify correctness using available tools (build/compile, linters, tests, type checks, etc.).\\n4. Cleanup: After you're done reading and applying changes, delete `/Users/sergio/Projects/personal/capy/pal_generated.code` once verified to prevent stale instructions.\\n\\nTreat this as a patch-set requiring manual integration, not ready-to-paste code. You have full codebase context - use it.\\n\\n---\\n\\nAGENT'S TURN: Evaluate this perspective alongside your analysis to form a comprehensive solution and continue with the user's request and task at hand.\",\"content_type\":\"text\",\"metadata\":{\"tool_name\":\"chat\",\"conversation_ready\":true,\"model_used\":\"gemini-3.1-pro-preview\",\"provider_used\":\"google\"},\"continuation_offer\":{\"continuation_id\":\"8b07d69a-b17e-40b9-bd4f-cb3d382a1296\",\"note\":\"You can continue this conversation for 38 more exchanges.\",\"remaining_turns\":38}}"}],"sourceToolAssistantUUID":"91e4e6f1-b42e-407a-9da5-19e7147819b7","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"type":"ai-title","aiTitle":"Analyze session indexing issue and document RAG design v2","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
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{"parentUuid":"efa199e7-2ad2-4e8a-8153-83ca481ac289","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QMR92E4FWXLZoJ1gx5yXjV","type":"message","role":"assistant","content":[{"type":"text","text":"The PAL-generated file can be ignored — we extracted the useful analysis already.\n\n## PAL Consensus Summary\n\nAfter 3 rounds, we converged on all design decisions:\n\n1. **Whitelist registry** — Table-driven `ExtractorRegistry` in `internal/session/tools.go`. One-line entries per tool.\n2. **YAGNI fallback** — Unknown tools emit `[Tool: <name>]` (name only). No JSON-walking.\n3. **Conversational tools** — Sub-agent-style delimiters (`--- PAL: chat ---`), 512-char truncation.\n4. **Agent handling** — Description-only (`[Agent: Explore — \"desc\"]`). Sub-agent JSONL has full content.\n5. **Narrow deny-list** — `mcp__capy__*` and `mcp__claude_ai_*` return empty (completely dropped).\n6. **TotalAssistantChars fix** — Track pure conversational text separately from tool-injected text so the session-level gate isn't contaminated.\n7. **Chunking** — Keep 4/1 (no change). Oversized splitting handles larger turns.\n8. **tool_result** — Still dropped (assistant synthesizes it anyway).\n\nNow moving to **Step 4 — Describe the design** in sections. Here's the first section:\n\n---\n\n### Section 1: Problem & Scope (of 5)\n\nSession indexing v1 strips tool_use blocks to just tool names, losing ~60% of session content. Three root causes:\n\n1. **`contentBlock` struct** lacks an `Input` field — tool arguments are never parsed\n2. **`extractAssistantBlocks()`** extracts only `b.Name`, dropping all input content\n3. **`buildTurnPairs()`** discards entire turn pairs when assistant text is empty — tool-only turns (Read, Bash, Edit sequences with no accompanying text) vanish completely, including their tool names\n\nThe fix is surgical: add `Input json.RawMessage` to `contentBlock`, create a table-driven extractor registry that converts tool inputs into human-readable text, and inject that text into the assistant text stream so tool-only turns survive the turn-pair builder.\n\nScope is limited to `internal/session/` — no schema migrations, no store changes, no new MCP tools. The v1 storage layer, chunking, search, and cleanup are all unchanged. Re-indexing happens naturally when the sweep detects changed content hashes.\n\n---\n\nDoes this section look right so far?"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":617,"cache_read_input_tokens":105479,"output_tokens":977,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":617,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011Cann9N2wR5BC6WMmmJvjj","type":"assistant","uuid":"cadbc130-395a-489f-b68d-a658fea0f905","timestamp":"2026-05-07T07:02:13.132Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"e6791bf3-f0f8-4734-bb08-d3edb6f2ac76","isSidechain":false,"type":"system","subtype":"away_summary","content":"Designing sessionflow-rag v2 to fix tool content loss (issue #41). I finished PAL consultation and reached consensus on all design decisions. Next step: you confirm the design sections so I can write the v2 docs to docs/wip/sessionflow-rag/. (disable recaps in /config)","timestamp":"2026-05-07T07:05:17.732Z","uuid":"c22a63a6-f84d-4cd0-885f-394373a4240e","isMeta":false,"userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"6013bac8-2ad5-4e01-aad9-2f9e2b0b4bf8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HJTDJE16FDvQdFo5t1Xw4b","type":"message","role":"assistant","content":[{"type":"text","text":"### Section 2: Extractor Registry Design (of 5)\n\nA new file `internal/session/tools.go` houses the registry. The core type is simple:\n\n```\ntype ToolExtractor func(input json.RawMessage) string\n```\n\nThe registry is a `map[string]ToolExtractor` with prefix-match support for MCP namespaces. Lookup order: exact name match first, then longest prefix match, then fallback. The registry is a package-level variable initialized once — no dynamic registration needed.\n\n**Tool categories and their extractors:**\n\n| Tool | Extractor behavior | Format |\n|---|---|---|\n| `Read` | Extract `file_path` from input | `[Read: internal/store/types.go]` |\n| `Bash` | Extract `command`, truncate to 200 chars | `[Bash: git log --oneline -10]` |\n| `Write` | Extract `file_path` only (content is in git) | `[Write: docs/design.md]` |\n| `Edit` | Extract `file_path` only | `[Edit: internal/session/parse.go]` |\n| `Grep` | Extract `pattern` | `[Grep: func.*Extract]` |\n| `Agent` | Extract `description` + `subagent_type` | `[Agent: Explore — \"Find auth logic\"]` |\n| `mcp__pal__*` | Extract `prompt`, 512-char cap, delimiter block | `--- PAL: chat ---\\n<prompt>\\n--- End PAL ---` |\n| `mcp__capy__*` | Skip entirely (return \"\") | *(nothing)* |\n| `mcp__claude_ai_*` | Skip entirely (return \"\") | *(nothing)* |\n| Unknown | Name-only fallback | `[Tool: mcp__serena__find_symbol]` |\n\nThe PAL-style tools are the most important — they carry full design reasoning that issue #41 identifies as the highest-value loss. The delimiter format reuses the sub-agent block pattern already present in the transcript, making it a first-class citizen for BM25 title boosting. The 512-char cap prevents a single PAL prompt from consuming an entire 4096-byte chunk, preserving surrounding conversational context.\n\nEach extractor is a pure function that takes `json.RawMessage` and returns a string. Extractors that need specific input fields unmarshal into a minimal struct (e.g., `struct{ FilePath string }`) — they don't parse the full tool input schema.\n\n---\n\nDoes this look right? Should I continue to section 3?"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":990,"cache_read_input_tokens":106096,"output_tokens":642,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":990,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CannmgA7UZCZVE4rsAayP","type":"assistant","uuid":"2f84e824-cd38-4261-8942-6ca835596cce","timestamp":"2026-05-07T07:10:18.725Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"d782ec09-2951-4bb0-adcf-5facb8868f79","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NfNsgKb4LJHUkatzNvkizb","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EuYCClkIDRgCKkBUNvOb046rR8DlhnfABnrD2m47ryHZRxtStUzfrKhVM/LMDA/9rVBgUzLxe7Dgz6v3GVqDxrWAxWj7JhLz1atoMg9jbGF1ZGUtb3B1cy00LTY4ABIMDkjO1kDPsesN/Dd2GgysN4Pkop6Bds4CTsQiMMEAQD6kPO6nHKMGSiTKliASGejSmSaLoC4dtIGQbaOSnOGd4x8brzOKZ1EZ2IlU8iq6AYoJaEHECG0bZFeu7lQUVYSsVUgPPAeVAMH+lhBmSQ2Y1Fuhn2/jy8wkE9c2Ar8ngJnrH3RICIdfwGp0512hHUNxvCH5bKtz+DjNNRLyYvRx+2uF1yVt9kL3fZdQ2gLYuenRLX5jAuALMKtHahtv2rZWxS3KgTwrxSPJvWFBmutGM8A36+MddPl0AIDQA6yHB5uqFqORvfGKOK4dbUkgk+kPpqreqNCYcunygQwTLgrLWLmNENZuNEew1BgB"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":775,"cache_read_input_tokens":107086,"output_tokens":887,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":775,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CannsVNe2cciQXsreTCcR","type":"assistant","uuid":"50af91cd-a5b0-43bb-ba12-117d0474bf7f","timestamp":"2026-05-07T07:11:27.793Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"50af91cd-a5b0-43bb-ba12-117d0474bf7f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NfNsgKb4LJHUkatzNvkizb","type":"message","role":"assistant","content":[{"type":"text","text":"### Section 1 (expanded): Root Causes in Detail\n\n**Root cause 1: Missing `Input` field.** The `contentBlock` struct at `parse.go:69-74` declares four fields: `Type`, `Text`, `Name`, `ID`. When Go's `json.Unmarshal` encounters the `input` key in a tool_use JSON block, it silently discards it because there's no struct field to receive it. This is the single gate that prevents all tool content from being captured. The fix is adding `Input json.RawMessage json:\"input\"` — using `RawMessage` avoids parsing the arbitrarily-shaped input until an extractor needs it.\n\n**Root cause 2: Name-only extraction.** `extractAssistantBlocks()` at `parse.go:305-322` switches on block type. For `tool_use`, it only appends `b.Name` to `toolNames`. Even if we had the `Input` field, this function would ignore it. The fix: after extracting the name, pass `b.Name` and `b.Input` to the extractor registry. If the registry returns a non-empty string, append it to the `texts` slice alongside regular assistant text.\n\n**Root cause 3: Turn-pair discard logic.** This is the most destructive. In `buildTurnPairs()` at `parse.go:326-378`, the `flushPair()` closure at line 335 checks `len(currentAssistantText) == 0`. When an assistant turn has only tool_use blocks (no text blocks), `extractAssistantBlocks` returns empty `text` and populated `toolNames`. The tool names accumulate at line 364, but `currentAssistantText` stays empty. When the next user message triggers `flushPair()`, the `len == 0` check fires and the entire turn — including all accumulated tool names — is discarded.\n\nThis is why ~60% of turns vanish: the exploration phase of a typical session is almost entirely Read/Bash/Edit calls with no accompanying text. Once we inject extractor output into the `texts` slice (root cause 2 fix), these turns will have non-empty assistant text, and `flushPair()` will preserve them automatically. No changes needed to `buildTurnPairs` itself.\n\n**Scope boundary.** All changes are confined to `internal/session/`:\n- `parse.go` — `contentBlock` struct, `extractAssistantBlocks()` signature\n- New `tools.go` — `ExtractorRegistry`, all extractor functions\n- `transcript.go` — no changes (it already renders whatever `TurnPair.AssistantText` contains)\n- `chunk.go` — no changes (window size stays 4/1)\n- `sweep.go` — no changes (content_hash diff triggers re-indexing naturally)\n\nThe store, schema, search, cleanup, and MCP tool layers are untouched. This is a parser-only enhancement.\n\n**One critical invariant to preserve:** `TotalAssistantChars` must count only pure conversational text, not injected tool summaries. Otherwise the session-level gate (`IsIndexable`: min 2 turn pairs, min 200 chars) would pass sessions that are pure tool automation. The fix: `extractAssistantBlocks` returns a third value — `pureTextLen` — which is the byte count of only `text`-type blocks. `buildTurnPairs` uses this for `totalChars` instead of `len(aText)`.\n\n---\n\nWant me to expand any other section, or shall I move to section 2 details / section 3?"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":775,"cache_read_input_tokens":107086,"output_tokens":887,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":775,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CannsVNe2cciQXsreTCcR","type":"assistant","uuid":"b062f42c-587c-4898-b358-adedf959da7f","timestamp":"2026-05-07T07:11:47.403Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"d226a3fb-d862-4ed9-9467-8dcd714bf44f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QoCuWhcDej8uXPGrdrQ5AG","type":"message","role":"assistant","content":[{"type":"text","text":"You're right — I was framing this wrong. Let me restate.\n\nThe v1 filter was **intentionally aggressive** about dropping tool content, and that was a good design choice. The problem isn't that v1 drops too much — it's that it can't distinguish between tool calls that are noise (15 consecutive Read calls exploring the codebase) and tool calls that carry genuine reasoning (a PAL conversation about design trade-offs, or an Agent delegation that explains *why* work was being delegated).\n\nThe goal is **selective enrichment** — adding high-signal context that v1 misclassified as noise, without degrading BM25 relevance by flooding chunks with file paths and bash commands.\n\nThat changes the design in an important way. Let me reconsider which tool-only turns actually deserve to survive:\n\n- **Pure Read/Bash/Edit sequences** (the bulk of that 60%) — these are exploration noise. A sequence of `[Read: file1], [Read: file2], ...` dilutes BM25 relevance. These should probably **stay filtered**, exactly as v1 does. The exploration phase isn't what you search sessions for.\n\n- **PAL conversations** — these are genuine design reasoning that happens to be encoded as a tool_use input. They should be first-class transcript content, not filtered as \"tool noise.\"\n\n- **Agent delegations** — the description captures delegation intent. Worth preserving as a connector between the parent conversation and the sub-agent block.\n\n- **Navigation context on text-bearing turns** — when the assistant says \"Let me check the store implementation\" and then calls Read, enriching the existing `[Tools: Read]` line to `[Tools: Read internal/store/types.go]` adds useful context without creating new turns.\n\nSo the real design question is: **enrich existing turns with better tool metadata** + **promote conversational tool calls to transcript content** — NOT \"capture all the missing tool-only turns.\" Is that closer to what you're after?"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":951,"cache_read_input_tokens":107861,"output_tokens":1378,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":951,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011Cano5Jf3cfcV8yQZiKfvb","type":"assistant","uuid":"7421eaa3-9899-45b6-9336-9bab28496911","timestamp":"2026-05-07T07:14:39.382Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"69e6bff0-61c1-46d5-bdbc-f9b686ea776f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PURUtqCYxT4y7o3JTHoByc","type":"message","role":"assistant","content":[{"type":"text","text":"Good question. Let me trace through this actual session.\n\n**What v1 KEEPS (assistant text + user text):**\n\n- Your opening message: \"Explore this issue...\"\n- My text fragments between tool calls: \"I'll start by fetching the issue...\", \"The gist HTML was truncated...\", \"Now I have a solid picture...\", \"I now have a thorough understanding...\"\n- Your responses: \"Chat with pal about it...\", \"tell me more\", \"no, I meant...\"\n- My analysis paragraphs (the root cause breakdown, the PAL consensus summary)\n- The `[Tools: Read, Bash, mcp__pal__chat, Agent, ...]` name-only lines on text-bearing turns\n- Away summaries if any context compaction occurred\n\n**What v1 DISCARDS:**\n\n1. **The PAL design conversation** — three rounds of back-and-forth with gemini-3.1-pro about whitelist vs pattern-based extraction, transcript representation options, truncation budgets, the TotalAssistantChars contamination catch. All of that reasoning is in the `mcp__pal__chat` tool_use `input.prompt` fields. Only my post-PAL synthesis (\"PAL agrees on...\") survives. The actual trade-off analysis, the options enumerated, the reasoning for rejecting alternatives — gone.\n\n2. **The Explore agent prompt** — I sent a detailed brief to the subagent: \"read parse.go, transcript.go, chunk.go, sweep.go, report filtering rules, chunking parameters, line numbers for key decisions.\" That delegation intent is lost. (The sub-agent's JSONL execution is separately parsed, but the *why* of the delegation disappears.)\n\n3. **Every file path and command** — you can't tell from the indexed session that I read `parse.go`, `transcript.go`, `chunk.go`, `CONTRIBUTING.md`, or that I fetched the GitHub issue via `gh issue view 41`. The `[Tools: Read, Bash]` line says tools were used, but not *what* they touched.\n\n4. **The capy_search queries** — \"mcp__pal__chat tool_use input content\", \"sessionflow RAG design decisions\", etc. These show investigation intent.\n\n5. **The Skill invocation arguments** — the detailed context I passed to `kk:design` (the full problem statement, analysis findings, proposed changes, constraints). Lost.\n\n6. **The capy_fetch_and_index URL** — the gist URL that was fetched. Lost.\n\n**What SHOULD be preserved (enrichment, not completeness):**\n\n- **PAL conversations** — this is the #1 loss. Three rounds of genuine design reasoning with trade-off analysis. This is as valuable as the main conversation — arguably more, because it's where options were evaluated and rejected. This is what someone searching \"why did we choose whitelist over pattern-based\" would need to find.\n\n- **Agent delegation description** — not the full prompt (redundant with sub-agent JSONL), but the one-line description captures intent: \"Explore session parsing implementation.\"\n\n- **File paths on text-bearing turns** — when I say \"let me read the transcript builder\" and call Read, enriching to `[Read: internal/session/transcript.go]` gives the indexed chunk useful specificity. But 15 consecutive Read calls in an exploration phase? That's noise.\n\n- **The fetched URL** — knowing the gist URL was consulted is moderate-value context.\n\n**What should STAY discarded:**\n\n- Pure Read/Bash exploration sequences with no text — the exploration path isn't what you search for\n- `mcp__capy__*` calls — self-referential indexing noise\n- Tool_result content — massive, and the assistant synthesizes it\n- Skill/ToolSearch infrastructure calls — internal machinery\n\nDoes this reframing match what you had in mind?"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":1422,"cache_read_input_tokens":108812,"output_tokens":2142,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1422,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanoEgctqRdws8iCdBT1Z","type":"assistant","uuid":"8a0776b5-3a69-48f6-81c7-29fdc693936c","timestamp":"2026-05-07T07:17:00.215Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"type":"last-prompt","lastPrompt":"OK, so consider this session. Given current implementation, what would stay in the session? What would be discarded? What we should preserve that would be discarded.","leafUuid":"23a89bcf-bb75-41ea-8ae5-e4483de4b814","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"ai-title","aiTitle":"Analyze session indexing issue and document RAG design v2","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
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{"type":"file-history-snapshot","messageId":"a88360a2-852b-4bd2-9e4e-9c3de7fb13c3","snapshot":{"messageId":"a88360a2-852b-4bd2-9e4e-9c3de7fb13c3","trackedFileBackups":{},"timestamp":"2026-05-07T07:21:20.578Z"},"isSnapshotUpdate":false}
{"parentUuid":"23a89bcf-bb75-41ea-8ae5-e4483de4b814","isSidechain":false,"promptId":"036baabd-fd42-4c73-9595-da86eb02dfda","type":"user","message":{"role":"user","content":"yes, I think this is close to what I'm thinking\nlet's do a fresh chat session with pal about this, to get a second opinion on the proposal, before we move on"},"uuid":"a88360a2-852b-4bd2-9e4e-9c3de7fb13c3","timestamp":"2026-05-07T07:21:20.543Z","permissionMode":"default","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"a88360a2-852b-4bd2-9e4e-9c3de7fb13c3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SXXj3Lx66Wuah2aMeaRTYV","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":2191,"cache_read_input_tokens":110234,"output_tokens":1391,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2191,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanodYNwGWdSa1p8XX4Ji","type":"assistant","uuid":"4a74cbd5-8e05-45b9-9b78-287484420ee7","timestamp":"2026-05-07T07:21:24.484Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"4a74cbd5-8e05-45b9-9b78-287484420ee7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SXXj3Lx66Wuah2aMeaRTYV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DaM87yj4oT7HUNacoh5WRU","name":"mcp__pal__chat","input":{"prompt":"I need a second opinion on a design proposal. Please challenge assumptions and point out gaps — I want honest critique, not agreement.\n\n## Context\n\nI'm building v2 of a session indexing feature for \"capy\" — an MCP server that indexes Claude Code session JSONL files into SQLite FTS5 for BM25-ranked search. Sessions contain human/assistant conversation interleaved with tool_use blocks (Read, Bash, Edit, Write, mcp__pal__chat, Agent, etc.).\n\nThe v1 indexer keeps only human text + assistant text, extracts tool names for metadata (`[Tools: Read, Bash]`), and drops all tool_use input content. This works well for conversational sessions but loses important context in tool-heavy design sessions.\n\n## The actual problem (reframed)\n\nThe v1 filter was intentionally aggressive — and mostly right. The problem is NOT that 60% of content is lost. The problem is that v1 can't distinguish between:\n- **Noise tools** — 15 consecutive Read calls exploring a codebase (exploration noise, not worth indexing)\n- **Reasoning tools** — a `mcp__pal__chat` call carrying 3 paragraphs of design trade-off analysis (genuine reasoning that happens to be encoded as a tool_use input)\n\nThe goal is **selective enrichment** — promote high-signal tool content to first-class transcript content, enrich existing turns with better metadata, but NOT capture all tool-only turns.\n\n## The proposal\n\n### 1. Extractor Registry (table-driven, `internal/session/tools.go`)\n\nA `map[string]ToolExtractor` where each extractor takes `json.RawMessage` input and returns a formatted string. Lookup: exact name → longest prefix match → fallback.\n\n### 2. Three tiers of tool handling\n\n**Tier 1 — Conversational tools (promote to transcript content):**\n- `mcp__pal__chat`, `mcp__pal__thinkdeep`, `mcp__pal__codereview`, etc.\n- Format: sub-agent-style delimiter blocks (`--- PAL: chat ---\\n<prompt, 512 chars>\\n--- End PAL ---`)\n- These carry genuine design reasoning. The delimiter format reuses the existing sub-agent pattern.\n- Only the prompt (tool input) is preserved — the response (tool_result) is dropped because the assistant synthesizes it in the next text turn anyway.\n\n**Tier 2 — Navigation tools (enrich metadata on text-bearing turns only):**\n- `Read` → `[Read: internal/store/types.go]` (instead of just `[Read]`)\n- `Bash` → `[Bash: git log --oneline -10]` (command truncated to 200 chars)\n- `Write`/`Edit` → `[Write: path]` / `[Edit: path]`\n- `Agent` → `[Agent: Explore — \"Find auth logic\"]` (description only — sub-agent JSONL has full content)\n- These DON'T create new turns. They only enrich the `[Tools: ...]` line on turns that already have assistant text.\n- Tool-only turns (pure Read/Bash sequences with no text) stay discarded — that's exploration noise.\n\n**Tier 3 — Skip or name-only:**\n- `mcp__capy__*` → skip entirely (self-referential)\n- `mcp__claude_ai_*` → skip entirely (auth noise)\n- Unknown tools → `[Tool: <name>]` (name only, no input)\n\n### 3. Key invariant: session-level gate unchanged\n\n`IsIndexable()` requires ≥2 turn pairs and ≥200 chars of assistant text. Tool-injected text (tier 1 and tier 2) must NOT count toward the 200-char threshold. `extractAssistantBlocks` returns a separate `pureTextLen` for this.\n\n### 4. No chunking changes\n\nWindow stays at 4 turn pairs / 1 overlap. Oversized splitting handles larger turns.\n\n## My specific concerns\n\n1. **Is the tier 2 \"enrich but don't create turns\" approach right?** Or does losing all tool-only turns still throw away too much signal? A session where the assistant reads 10 files, then says \"Based on my analysis...\" — you'd see the analysis text but no trace of WHAT was analyzed.\n\n2. **Is 512 chars the right truncation for PAL prompts?** Too short and you lose the question being asked. Too long and a single PAL block dominates a 4096-byte chunk.\n\n3. **Should we capture tool_result for tier 1 (conversational tools)?** PAL's response often contains analysis the assistant doesn't fully reproduce. But it's also large and partially redundant.\n\n4. **Any blind spots in the tier classification?**","model":"gemini-3.1-pro-preview","thinking_mode":"max","working_directory_absolute_path":"/Users/sergio/Projects/personal/capy","absolute_file_paths":["/Users/sergio/Projects/personal/capy/internal/session/parse.go","/Users/sergio/Projects/personal/capy/internal/session/transcript.go"]},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":2191,"cache_read_input_tokens":110234,"output_tokens":1391,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2191,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanodYNwGWdSa1p8XX4Ji","type":"assistant","uuid":"4e6dc773-28d1-4870-8c79-980b798a5601","timestamp":"2026-05-07T07:21:53.267Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"4e6dc773-28d1-4870-8c79-980b798a5601","isSidechain":false,"promptId":"036baabd-fd42-4c73-9595-da86eb02dfda","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"{\"status\":\"error\",\"content\":\"Error in chat: Gemini API error for model gemini-3.1-pro-preview after 4 attempts: 503 UNAVAILABLE. {'error': {'code': 503, 'message': 'This model is currently experiencing high demand. Spikes in demand are usually temporary. Please try again later.', 'status': 'UNAVAILABLE'}}\",\"content_type\":\"text\",\"metadata\":{},\"continuation_offer\":null}","is_error":true,"tool_use_id":"toolu_01DaM87yj4oT7HUNacoh5WRU"}]},"uuid":"5f924980-a1de-4516-b1cf-e1ec90ea08e2","timestamp":"2026-05-07T07:22:05.021Z","toolUseResult":"Error: {\"status\":\"error\",\"content\":\"Error in chat: Gemini API error for model gemini-3.1-pro-preview after 4 attempts: 503 UNAVAILABLE. {'error': {'code': 503, 'message': 'This model is currently experiencing high demand. Spikes in demand are usually temporary. Please try again later.', 'status': 'UNAVAILABLE'}}\",\"content_type\":\"text\",\"metadata\":{},\"continuation_offer\":null}","sourceToolAssistantUUID":"4e6dc773-28d1-4870-8c79-980b798a5601","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"5f924980-a1de-4516-b1cf-e1ec90ea08e2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019qJbG3SR9PDwcLPS8mAu5q","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TdYzbTmcUhdkypANcnrrkv","name":"mcp__pal__chat","input":{"prompt":"I need a second opinion on a design proposal. Please challenge assumptions and point out gaps — I want honest critique, not agreement.\n\n## Context\n\nI'm building v2 of a session indexing feature for \"capy\" — an MCP server that indexes Claude Code session JSONL files into SQLite FTS5 for BM25-ranked search. Sessions contain human/assistant conversation interleaved with tool_use blocks (Read, Bash, Edit, Write, mcp__pal__chat, Agent, etc.).\n\nThe v1 indexer keeps only human text + assistant text, extracts tool names for metadata (`[Tools: Read, Bash]`), and drops all tool_use input content. This works well for conversational sessions but loses important context in tool-heavy design sessions.\n\n## The actual problem (reframed)\n\nThe v1 filter was intentionally aggressive — and mostly right. The problem is NOT that 60% of content is lost. The problem is that v1 can't distinguish between:\n- **Noise tools** — 15 consecutive Read calls exploring a codebase (exploration noise, not worth indexing)\n- **Reasoning tools** — a `mcp__pal__chat` call carrying 3 paragraphs of design trade-off analysis (genuine reasoning that happens to be encoded as a tool_use input)\n\nThe goal is **selective enrichment** — promote high-signal tool content to first-class transcript content, enrich existing turns with better metadata, but NOT capture all tool-only turns.\n\n## The proposal\n\n### 1. Extractor Registry (table-driven, `internal/session/tools.go`)\n\nA `map[string]ToolExtractor` where each extractor takes `json.RawMessage` input and returns a formatted string. Lookup: exact name → longest prefix match → fallback.\n\n### 2. Three tiers of tool handling\n\n**Tier 1 — Conversational tools (promote to transcript content):**\n- `mcp__pal__chat`, `mcp__pal__thinkdeep`, `mcp__pal__codereview`, etc.\n- Format: sub-agent-style delimiter blocks (`--- PAL: chat ---\\n<prompt, 512 chars>\\n--- End PAL ---`)\n- These carry genuine design reasoning. The delimiter format reuses the existing sub-agent pattern.\n- Only the prompt (tool input) is preserved — the response (tool_result) is dropped because the assistant synthesizes it in the next text turn anyway.\n\n**Tier 1 creates new turn content. If a tool-only assistant turn contains a PAL call, the PAL block becomes the assistant text for that turn, saving it from being discarded.**\n\n**Tier 2 — Navigation tools (enrich metadata on text-bearing turns only):**\n- `Read` → `[Read: internal/store/types.go]` (path enrichment)\n- `Bash` → `[Bash: git log --oneline -10]` (command truncated to 200 chars)\n- `Write`/`Edit` → `[Write: path]` / `[Edit: path]`\n- `Agent` → `[Agent: Explore — \"Find auth logic\"]` (description only)\n- These DON'T create new turns — they only enrich the existing `[Tools: ...]` line.\n- Tool-only turns (pure Read/Bash sequences with no text) stay discarded.\n\n**Tier 3 — Skip or name-only:**\n- `mcp__capy__*` → skip entirely (self-referential)\n- `mcp__claude_ai_*` → skip entirely (auth noise)\n- Unknown tools → `[Tool: <name>]` (name only)\n\n### 3. Key invariant: session-level gate unchanged\nTool-injected text must NOT count toward IsIndexable's 200-char threshold.\n\n### 4. No chunking changes (4/1 window stays)\n\n## My specific concerns\n\n1. **Is the tier 2 \"enrich but don't create turns\" approach right?** Or does losing all tool-only turns still throw away too much signal?\n2. **Is 512 chars the right truncation for PAL prompts?**\n3. **Should we capture tool_result for tier 1 tools?** PAL's response contains analysis the assistant doesn't always fully reproduce.\n4. **Any blind spots in the tier classification?**","model":"gemini-3-flash-preview","thinking_mode":"max","working_directory_absolute_path":"/Users/sergio/Projects/personal/capy","absolute_file_paths":["/Users/sergio/Projects/personal/capy/internal/session/parse.go","/Users/sergio/Projects/personal/capy/internal/session/transcript.go"]},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1526,"cache_read_input_tokens":112425,"output_tokens":1201,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1526,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanogpNhUErbg97auwPKr","type":"assistant","uuid":"216e0361-d7f8-4eeb-a4c1-5061c5d07f59","timestamp":"2026-05-07T07:22:18.148Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"216e0361-d7f8-4eeb-a4c1-5061c5d07f59","isSidechain":false,"promptId":"036baabd-fd42-4c73-9595-da86eb02dfda","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TdYzbTmcUhdkypANcnrrkv","type":"tool_result","content":[{"type":"text","text":"{\"status\":\"continuation_available\",\"content\":\"This is a solid evolution of the v1 indexer. Moving from name-only metadata to semantic enrichment is exactly what's needed for \\\"tool-heavy\\\" sessions.\\n\\nHere is a critique of your assumptions and gaps, focused on the specific concerns you raised and the implementation details in `internal/session/parse.go` and `internal/session/transcript.go`.\\n\\n### 1. Tier 2: The \\\"Pure Navigation\\\" Gap\\n**Your Concern:** Is the \\\"enrich but don't create turns\\\" approach right?\\n**Critique:** I believe this is a potential blind spot. While v1 was right to discard exploration noise, a sequence of `Read` or `Bash` calls often represents the *only* record of a discovery process.\\n* **The Risk:** If I search for a specific function name that appears only in a `Read` call during a tool-only turn sequence, I won't find the session.\\n* **Recommendation:** If a sequence of Tier 2 tool calls exceeds a certain \\\"semantic weight\\\" (e.g., 3+ unique files read or a significant bash command), you should allow a \\\"navigation turn\\\" to be created even without assistant text. This preserves the *provenance* of the session without cluttering it with every single file read.\\n\\n### 2. Tier 1: The \\\"Assistant Synthesis\\\" Assumption\\n**Your Concern:** Should we capture `tool_result` for Tier 1 tools?\\n**Critique:** Yes. Your assumption that \\\"the assistant synthesizes it in the next text turn\\\" is risky for PAL.\\n* **Why:** Assistants often summarize PAL results for brevity. The specific variable name, error message, or edge case mentioned in the PAL result (the \\\"Output\\\") might be the exact keyword the user searches for later.\\n* **Proposal:** Capture both for Tier 1.\\n * **Prompt (Input):** The \\\"intent\\\" or \\\"reasoning.\\\"\\n * **Response (Output):** The \\\"evidence\\\" or \\\"analysis.\\\"\\n* **Parsing Gap:** Looking at `internal/session/parse.go` (LINE 258-294), `extractUserText` currently filters out `tool_result` messages entirely. You will need to modify the parser to recognize `tool_result` blocks and correlate them with their `tool_use` counterparts via the `tool_use_id`.\\n\\n### 3. Truncation Limits\\n**Your Concern:** Is 512 chars right for PAL prompts?\\n**Critique:** 512 is too aggressive for \\\"design trade-off analysis.\\\"\\n* **Reasoning:** SQLite FTS5 handles larger documents with ease, and BM25 ranking actually benefits from the extra context. For tools designed for \\\"thinking\\\" (PAL), the signal-to-noise ratio is high.\\n* **Recommendation:** Increase Tier 1 truncation to **2048 characters**. For Tier 2 (Bash/Read), keep it tight (200-512) because those are lower signal.\\n\\n### 4. Implementation Blind Spots\\n\\n#### A. The `ParsedSession` Invariant (LINE 35)\\nIn `internal/session/parse.go`:\\n```go\\n35│ func (s *ParsedSession) IsIndexable() bool {\\n...\\n42│ \\treturn mainPairs >= 2 && s.TotalAssistantChars >= 200\\n43│ }\\n```\\nIf you promote PAL blocks to \\\"Assistant Text,\\\" but don't count them toward the 200-char threshold, you create a \\\"Shadow Content\\\" problem. A session could have 5,000 characters of brilliant PAL design analysis but 0 characters of \\\"natural\\\" assistant text, resulting in a discarded session.\\n* **Fix:** If you promote a tool call to Tier 1, its character count *should* contribute to `IsIndexable`. It's first-class content now.\\n\\n#### B. The `extractAssistantBlocks` logic (LINE 305)\\nCurrently, you only look at `Type` and `Name`:\\n```go\\n305│ func extractAssistantBlocks(blocks []contentBlock) (string, []string) {\\n...\\n315│ \\t\\tcase \\\"tool_use\\\":\\n316│ \\t\\t\\tif b.Name != \\\"\\\" {\\n317│ \\t\\t\\t\\ttoolNames = append(toolNames, b.Name)\\n318│ \\t\\t\\t}\\n```\\nYou need to expand the `contentBlock` struct (LINE 69) to capture the `input` (for `tool_use`) and `output` (for `tool_result`). Without this, the Extractor Registry won't have the data it needs to format the Tier 1/2 blocks.\\n\\n#### C. Registry Fallback Strategy\\nYour \\\"longest prefix match\\\" is clever for namespacing, but ensure your fallback isn't too chatty. If an unknown tool is Tier 2-ish (like a new file operation), naming it is fine. If it's Tier 3-ish (internal telemetry), you want it silent. I suggest the registry returns an `Action` enum: `PROMOTE`, `ENRICH`, `IGNORE`.\\n\\n### Summary of Recommendations\\n1. **Preserve significant Tier 2-only turns** to maintain searchability of navigated files/commands.\\n2. **Include `tool_result`** for PAL-style tools; the assistant's synthesis is often lossy.\\n3. **Bump Tier 1 truncation to 2048 chars.**\\n4. **Allow Tier 1 content to count toward `IsIndexable`.**\\n5. **Modify `extractUserText`** to stop discarding `tool_result` content blocks.\\n\\nPlease continue this conversation using the continuation_id from this response if you'd like to refine the `ToolExtractor` interface or the specific logic for merging `tool_use` and `tool_result` in the parser.\\n\\n---\\n\\nAGENT'S TURN: Evaluate this perspective alongside your analysis to form a comprehensive solution and continue with the user's request and task at hand.\",\"content_type\":\"text\",\"metadata\":{\"tool_name\":\"chat\",\"conversation_ready\":true,\"model_used\":\"gemini-3-flash-preview\",\"provider_used\":\"google\"},\"continuation_offer\":{\"continuation_id\":\"bd6866b1-443a-4673-b571-766f684c52ac\",\"note\":\"You can continue this conversation for 49 more exchanges.\",\"remaining_turns\":49}}"}]}]},"uuid":"5ddab2c5-9549-4087-8cd9-5c8693913a4f","timestamp":"2026-05-07T07:22:37.137Z","toolUseResult":[{"type":"text","text":"{\"status\":\"continuation_available\",\"content\":\"This is a solid evolution of the v1 indexer. Moving from name-only metadata to semantic enrichment is exactly what's needed for \\\"tool-heavy\\\" sessions.\\n\\nHere is a critique of your assumptions and gaps, focused on the specific concerns you raised and the implementation details in `internal/session/parse.go` and `internal/session/transcript.go`.\\n\\n### 1. Tier 2: The \\\"Pure Navigation\\\" Gap\\n**Your Concern:** Is the \\\"enrich but don't create turns\\\" approach right?\\n**Critique:** I believe this is a potential blind spot. While v1 was right to discard exploration noise, a sequence of `Read` or `Bash` calls often represents the *only* record of a discovery process.\\n* **The Risk:** If I search for a specific function name that appears only in a `Read` call during a tool-only turn sequence, I won't find the session.\\n* **Recommendation:** If a sequence of Tier 2 tool calls exceeds a certain \\\"semantic weight\\\" (e.g., 3+ unique files read or a significant bash command), you should allow a \\\"navigation turn\\\" to be created even without assistant text. This preserves the *provenance* of the session without cluttering it with every single file read.\\n\\n### 2. Tier 1: The \\\"Assistant Synthesis\\\" Assumption\\n**Your Concern:** Should we capture `tool_result` for Tier 1 tools?\\n**Critique:** Yes. Your assumption that \\\"the assistant synthesizes it in the next text turn\\\" is risky for PAL.\\n* **Why:** Assistants often summarize PAL results for brevity. The specific variable name, error message, or edge case mentioned in the PAL result (the \\\"Output\\\") might be the exact keyword the user searches for later.\\n* **Proposal:** Capture both for Tier 1.\\n * **Prompt (Input):** The \\\"intent\\\" or \\\"reasoning.\\\"\\n * **Response (Output):** The \\\"evidence\\\" or \\\"analysis.\\\"\\n* **Parsing Gap:** Looking at `internal/session/parse.go` (LINE 258-294), `extractUserText` currently filters out `tool_result` messages entirely. You will need to modify the parser to recognize `tool_result` blocks and correlate them with their `tool_use` counterparts via the `tool_use_id`.\\n\\n### 3. Truncation Limits\\n**Your Concern:** Is 512 chars right for PAL prompts?\\n**Critique:** 512 is too aggressive for \\\"design trade-off analysis.\\\"\\n* **Reasoning:** SQLite FTS5 handles larger documents with ease, and BM25 ranking actually benefits from the extra context. For tools designed for \\\"thinking\\\" (PAL), the signal-to-noise ratio is high.\\n* **Recommendation:** Increase Tier 1 truncation to **2048 characters**. For Tier 2 (Bash/Read), keep it tight (200-512) because those are lower signal.\\n\\n### 4. Implementation Blind Spots\\n\\n#### A. The `ParsedSession` Invariant (LINE 35)\\nIn `internal/session/parse.go`:\\n```go\\n35│ func (s *ParsedSession) IsIndexable() bool {\\n...\\n42│ \\treturn mainPairs >= 2 && s.TotalAssistantChars >= 200\\n43│ }\\n```\\nIf you promote PAL blocks to \\\"Assistant Text,\\\" but don't count them toward the 200-char threshold, you create a \\\"Shadow Content\\\" problem. A session could have 5,000 characters of brilliant PAL design analysis but 0 characters of \\\"natural\\\" assistant text, resulting in a discarded session.\\n* **Fix:** If you promote a tool call to Tier 1, its character count *should* contribute to `IsIndexable`. It's first-class content now.\\n\\n#### B. The `extractAssistantBlocks` logic (LINE 305)\\nCurrently, you only look at `Type` and `Name`:\\n```go\\n305│ func extractAssistantBlocks(blocks []contentBlock) (string, []string) {\\n...\\n315│ \\t\\tcase \\\"tool_use\\\":\\n316│ \\t\\t\\tif b.Name != \\\"\\\" {\\n317│ \\t\\t\\t\\ttoolNames = append(toolNames, b.Name)\\n318│ \\t\\t\\t}\\n```\\nYou need to expand the `contentBlock` struct (LINE 69) to capture the `input` (for `tool_use`) and `output` (for `tool_result`). Without this, the Extractor Registry won't have the data it needs to format the Tier 1/2 blocks.\\n\\n#### C. Registry Fallback Strategy\\nYour \\\"longest prefix match\\\" is clever for namespacing, but ensure your fallback isn't too chatty. If an unknown tool is Tier 2-ish (like a new file operation), naming it is fine. If it's Tier 3-ish (internal telemetry), you want it silent. I suggest the registry returns an `Action` enum: `PROMOTE`, `ENRICH`, `IGNORE`.\\n\\n### Summary of Recommendations\\n1. **Preserve significant Tier 2-only turns** to maintain searchability of navigated files/commands.\\n2. **Include `tool_result`** for PAL-style tools; the assistant's synthesis is often lossy.\\n3. **Bump Tier 1 truncation to 2048 chars.**\\n4. **Allow Tier 1 content to count toward `IsIndexable`.**\\n5. **Modify `extractUserText`** to stop discarding `tool_result` content blocks.\\n\\nPlease continue this conversation using the continuation_id from this response if you'd like to refine the `ToolExtractor` interface or the specific logic for merging `tool_use` and `tool_result` in the parser.\\n\\n---\\n\\nAGENT'S TURN: Evaluate this perspective alongside your analysis to form a comprehensive solution and continue with the user's request and task at hand.\",\"content_type\":\"text\",\"metadata\":{\"tool_name\":\"chat\",\"conversation_ready\":true,\"model_used\":\"gemini-3-flash-preview\",\"provider_used\":\"google\"},\"continuation_offer\":{\"continuation_id\":\"bd6866b1-443a-4673-b571-766f684c52ac\",\"note\":\"You can continue this conversation for 49 more exchanges.\",\"remaining_turns\":49}}"}],"sourceToolAssistantUUID":"216e0361-d7f8-4eeb-a4c1-5061c5d07f59","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"5ddab2c5-9549-4087-8cd9-5c8693913a4f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EtyvuW49QKfJYXgh8H8Scf","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2783,"cache_read_input_tokens":113951,"output_tokens":1674,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2783,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanojBZic1rdXqVo2Depu","type":"assistant","uuid":"19cbcdc2-6096-49d4-857e-7629ef15c74e","timestamp":"2026-05-07T07:22:51.018Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"19cbcdc2-6096-49d4-857e-7629ef15c74e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EtyvuW49QKfJYXgh8H8Scf","type":"message","role":"assistant","content":[{"type":"text","text":"Good — some genuine pushback from the fresh session. Let me push back on the points where I disagree."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2783,"cache_read_input_tokens":113951,"output_tokens":1674,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2783,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanojBZic1rdXqVo2Depu","type":"assistant","uuid":"b67c4f26-60f4-44d0-91ac-e2ff6d4cbfaf","timestamp":"2026-05-07T07:22:51.952Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"b67c4f26-60f4-44d0-91ac-e2ff6d4cbfaf","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EtyvuW49QKfJYXgh8H8Scf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011yfEi9Ua51JqnuyPRYZx85","name":"mcp__pal__chat","input":{"prompt":"Thanks for the critique. Let me respond to each point and see where we actually disagree vs where it's a misunderstanding of the constraints.\n\n## 1. Tier 2 navigation gap — I disagree\n\nYou suggest creating \"navigation turns\" when 3+ files are read. But the user explicitly reframed the goal: \"we don't want to include the missing 60%, we want to enrich indexed sessions by adding missing context WITHOUT bloating with useless information.\"\n\nIf someone searches for a specific function name, they'll find it in the assistant's TEXT that references that function (\"I found the extraction logic in extractAssistantBlocks\"), not in a `[Read: parse.go]` metadata line. The Read call's file path adds specificity to existing context but doesn't justify creating new turns.\n\nThe enrichment philosophy: if a tool-only turn has no text, the assistant didn't consider it worth commenting on. That's a signal, not a bug.\n\n## 2. Capture tool_result for Tier 1 — I'm skeptical but open\n\nThis is the strongest pushback. Your argument: \"the assistant's synthesis is often lossy.\" Let me steelman and then counter:\n\n**For:** PAL responses contain specific analysis (variable names, error messages, rejected alternatives) that the assistant summarizes rather than reproduces verbatim. A search for \"smart fallback extract short strings\" would match the PAL response but not the assistant's synthesis.\n\n**Against:**\n- tool_results are in USER messages as `tool_result` blocks. Correlating them with the originating `tool_use` requires matching `tool_use_id` across message boundaries — a significant parser change.\n- PAL responses are often 2000-3000 chars. Even truncated, this doubles the content budget per PAL exchange.\n- The assistant's synthesis is specifically DESIGNED to be the indexed version — it's what the human approved and built on.\n\n**My counter-proposal:** Don't capture tool_result in v2. Instead, track this as a known limitation. If real-world search quality suffers from missing PAL responses, v3 adds tool_result correlation. YAGNI applies — the PAL prompt (which contains the QUESTION) is more searchable than the PAL response (which contains the ANSWER). You search for sessions where a design question was asked, not where a specific answer was given.\n\n## 3. 2048 chars — too aggressive\n\nA 2048-char PAL block in a 4096-byte chunk leaves no room for surrounding conversation. BM25 ranks by term frequency within a chunk — if the chunk is 90% PAL prompt, the conversational keywords that should rank that chunk are diluted.\n\n512 chars preserves the prompt's opening (which states the question/goal) — exactly the part someone would search for. The tail is usually pasted code or repeated context.\n\n**However:** I'd accept 768 as a compromise. That captures a full paragraph of reasoning beyond just the opening question.\n\n## 4. Let Tier 1 count toward IsIndexable — this one landed\n\nYou're right. If a session is ONLY PAL conversations with no \"natural\" assistant text (e.g., a pure design consultation), it should still be indexed. The gate should count Tier 1 promoted content toward the threshold. This is consistent with the enrichment philosophy: Tier 1 content IS first-class, so it should be treated as first-class everywhere, including the gate.\n\n**Revised invariant:** `IsIndexable` counts pure assistant text + Tier 1 promoted content. Tier 2 enrichment (navigation metadata) does NOT count.\n\n## 5. Action enum — agree on the formalization\n\nReturning `(text string, action Action)` where Action is `Promote`, `Enrich`, `Skip` is a clean way to encode the tier behavior in the registry. The caller uses the action to decide: Promote → inject into assistant text (creates content). Enrich → append to tools metadata line. Skip → drop entirely.\n\n## Summary: where do we actually disagree?\n\nI think the real disagreement is #2 (tool_result capture). I'm proposing to defer it. You're saying it's needed now. What's your honest assessment — is this a \"ship without it and you'll regret it\" situation, or a \"nice to have that can wait\"?","model":"gemini-3-flash-preview","thinking_mode":"max","continuation_id":"bd6866b1-443a-4673-b571-766f684c52ac","working_directory_absolute_path":"/Users/sergio/Projects/personal/capy"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2783,"cache_read_input_tokens":113951,"output_tokens":1674,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2783,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanojBZic1rdXqVo2Depu","type":"assistant","uuid":"b53d0358-a82a-423a-bf47-f9c6eef99b20","timestamp":"2026-05-07T07:23:17.024Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"type":"last-prompt","lastPrompt":"yes, I think this is close to what I'm thinking let's do a fresh chat session with pal about this, to get a second opinion on the proposal, before we move on","leafUuid":"b53d0358-a82a-423a-bf47-f9c6eef99b20","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
{"type":"ai-title","aiTitle":"Analyze session indexing issue and document RAG design v2","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef"}
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{"parentUuid":"b53d0358-a82a-423a-bf47-f9c6eef99b20","isSidechain":false,"promptId":"036baabd-fd42-4c73-9595-da86eb02dfda","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011yfEi9Ua51JqnuyPRYZx85","type":"tool_result","content":[{"type":"text","text":"{\"status\":\"continuation_available\",\"content\":\"My honest assessment: **Defer capturing `tool_result` to v3.** \\n\\nIt is a \\\"nice to have that can wait.\\\" Here is the reasoning based on the current architecture and search behavior:\\n\\n1. **Intent vs. Execution:** Users generally search for the *intent* of a conversation (\\\"How did we decide to handle auth fallbacks?\\\") which is captured in the PAL prompt. The `tool_result` is the execution (often a large blob of code or logs). Indexing the execution without the intent is low-signal; indexing the intent alone satisfies the majority of \\\"design-recall\\\" queries.\\n2. **Parser Complexity:** Your current multi-pass parser in `parse.go` (LINE 96-193) is already handling deduplication and merging of progressive snapshots. Correlating `tool_use_id` from an assistant `tool_use` to a subsequent user `tool_result` across message boundaries introduces state management that doesn't exist yet. The cost-to-benefit ratio for v2 is poor.\\n3. **Token/Chunk Budget:** As you noted regarding BM25 (referencing your concern in point #3), bloating chunks with execution results risks diluting the conversational terms that provide the best ranking signals.\\n\\n### Refined Plan for v2\\n\\n#### 1. Truncation Compromise (768 chars)\\n768 chars is a sensible middle ground. It captures the full prompt of most PAL calls while leaving ~80% of a standard 4KB chunk for actual dialogue and other turns.\\n\\n#### 2. Formalizing the Registry & Action Enum\\nIn `internal/session/tools.go` (new file), we should define the contract. This allows `ParseSession` to remain generic while the logic for specific tools is isolated.\\n\\n```go\\ntype Action int\\n\\nconst (\\n\\tActionSkip Action = iota\\n\\tActionEnrich\\n\\tActionPromote\\n)\\n\\ntype ToolExtractor struct {\\n Name string\\n Action Action\\n Extract func(input json.RawMessage) string\\n}\\n```\\n\\n#### 3. Update to `IsIndexable` (LINE 35)\\nAs we agreed, Tier 1 content must count. We should update the `ParsedSession` to track `TotalAssistantChars` by including promoted text during the parsing phase.\\n\\n```go\\n// In parse.go:\\n// totalChars += len(aText) (LINE 345) \\n// This logic already works if we ensure aText includes the promoted Tier 1 content.\\n```\\n\\n#### 4. The Tier 2 \\\"Navigation\\\" Stance\\nI agree with your pushback. Creating turns for navigation-only sequences violates the \\\"no-bloat\\\" objective. If a user does 10 `Read` calls and then says \\\"Okay, I see the bug,\\\" the 10 paths should be enriched metadata on that \\\"Okay...\\\" turn, not 10 individual entries in the index.\\n\\n### Technical Implementation Detail in `parse.go`\\n\\nYou will need to update `contentBlock` (LINE 69) to include the `Input` field to facilitate the extraction:\\n\\n```go\\n69│ type contentBlock struct {\\n70│ \\tType string `json:\\\"type\\\"`\\n71│ \\tText string `json:\\\"text\\\"`\\n72│ \\tName string `json:\\\"name\\\"`\\n73│ \\tID string `json:\\\"id\\\"`\\n74│ \\tInput json.RawMessage `json:\\\"input\\\"` // Added for tool extraction\\n75│ }\\n```\\n\\nAnd update `extractAssistantBlocks` (LINE 305) to return not just names, but the aggregated promoted text.\\n\\n### Next Steps\\nIf this looks correct, we should define the specific `ToolExtractor` map entries for the Tier 1 and Tier 2 tools you listed.\\n\\nPlease continue this conversation using the continuation_id from this response if you'd like to finalize the extractor map definitions or move into the implementation of the parser changes.\\n\\n---\\n\\nAGENT'S TURN: Evaluate this perspective alongside your analysis to form a comprehensive solution and continue with the user's request and task at hand.\",\"content_type\":\"text\",\"metadata\":{\"tool_name\":\"chat\",\"conversation_ready\":true,\"model_used\":\"gemini-3-flash-preview\",\"provider_used\":\"google\"},\"continuation_offer\":{\"continuation_id\":\"bd6866b1-443a-4673-b571-766f684c52ac\",\"note\":\"You can continue this conversation for 44 more exchanges.\",\"remaining_turns\":44}}"}]}]},"uuid":"ac0ad9c4-9b4c-40e5-8d31-210161e2c036","timestamp":"2026-05-07T07:23:32.643Z","toolUseResult":[{"type":"text","text":"{\"status\":\"continuation_available\",\"content\":\"My honest assessment: **Defer capturing `tool_result` to v3.** \\n\\nIt is a \\\"nice to have that can wait.\\\" Here is the reasoning based on the current architecture and search behavior:\\n\\n1. **Intent vs. Execution:** Users generally search for the *intent* of a conversation (\\\"How did we decide to handle auth fallbacks?\\\") which is captured in the PAL prompt. The `tool_result` is the execution (often a large blob of code or logs). Indexing the execution without the intent is low-signal; indexing the intent alone satisfies the majority of \\\"design-recall\\\" queries.\\n2. **Parser Complexity:** Your current multi-pass parser in `parse.go` (LINE 96-193) is already handling deduplication and merging of progressive snapshots. Correlating `tool_use_id` from an assistant `tool_use` to a subsequent user `tool_result` across message boundaries introduces state management that doesn't exist yet. The cost-to-benefit ratio for v2 is poor.\\n3. **Token/Chunk Budget:** As you noted regarding BM25 (referencing your concern in point #3), bloating chunks with execution results risks diluting the conversational terms that provide the best ranking signals.\\n\\n### Refined Plan for v2\\n\\n#### 1. Truncation Compromise (768 chars)\\n768 chars is a sensible middle ground. It captures the full prompt of most PAL calls while leaving ~80% of a standard 4KB chunk for actual dialogue and other turns.\\n\\n#### 2. Formalizing the Registry & Action Enum\\nIn `internal/session/tools.go` (new file), we should define the contract. This allows `ParseSession` to remain generic while the logic for specific tools is isolated.\\n\\n```go\\ntype Action int\\n\\nconst (\\n\\tActionSkip Action = iota\\n\\tActionEnrich\\n\\tActionPromote\\n)\\n\\ntype ToolExtractor struct {\\n Name string\\n Action Action\\n Extract func(input json.RawMessage) string\\n}\\n```\\n\\n#### 3. Update to `IsIndexable` (LINE 35)\\nAs we agreed, Tier 1 content must count. We should update the `ParsedSession` to track `TotalAssistantChars` by including promoted text during the parsing phase.\\n\\n```go\\n// In parse.go:\\n// totalChars += len(aText) (LINE 345) \\n// This logic already works if we ensure aText includes the promoted Tier 1 content.\\n```\\n\\n#### 4. The Tier 2 \\\"Navigation\\\" Stance\\nI agree with your pushback. Creating turns for navigation-only sequences violates the \\\"no-bloat\\\" objective. If a user does 10 `Read` calls and then says \\\"Okay, I see the bug,\\\" the 10 paths should be enriched metadata on that \\\"Okay...\\\" turn, not 10 individual entries in the index.\\n\\n### Technical Implementation Detail in `parse.go`\\n\\nYou will need to update `contentBlock` (LINE 69) to include the `Input` field to facilitate the extraction:\\n\\n```go\\n69│ type contentBlock struct {\\n70│ \\tType string `json:\\\"type\\\"`\\n71│ \\tText string `json:\\\"text\\\"`\\n72│ \\tName string `json:\\\"name\\\"`\\n73│ \\tID string `json:\\\"id\\\"`\\n74│ \\tInput json.RawMessage `json:\\\"input\\\"` // Added for tool extraction\\n75│ }\\n```\\n\\nAnd update `extractAssistantBlocks` (LINE 305) to return not just names, but the aggregated promoted text.\\n\\n### Next Steps\\nIf this looks correct, we should define the specific `ToolExtractor` map entries for the Tier 1 and Tier 2 tools you listed.\\n\\nPlease continue this conversation using the continuation_id from this response if you'd like to finalize the extractor map definitions or move into the implementation of the parser changes.\\n\\n---\\n\\nAGENT'S TURN: Evaluate this perspective alongside your analysis to form a comprehensive solution and continue with the user's request and task at hand.\",\"content_type\":\"text\",\"metadata\":{\"tool_name\":\"chat\",\"conversation_ready\":true,\"model_used\":\"gemini-3-flash-preview\",\"provider_used\":\"google\"},\"continuation_offer\":{\"continuation_id\":\"bd6866b1-443a-4673-b571-766f684c52ac\",\"note\":\"You can continue this conversation for 44 more exchanges.\",\"remaining_turns\":44}}"}],"sourceToolAssistantUUID":"b53d0358-a82a-423a-bf47-f9c6eef99b20","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"ac0ad9c4-9b4c-40e5-8d31-210161e2c036","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01B7eLvHLHrhNEfBYV7K8WY9","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2822,"cache_read_input_tokens":116734,"output_tokens":920,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2822,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanooGsokqDmpNVwSVQ5c","type":"assistant","uuid":"38047742-a73d-4732-a779-1c8de94b870e","timestamp":"2026-05-07T07:23:42.626Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"38047742-a73d-4732-a779-1c8de94b870e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01B7eLvHLHrhNEfBYV7K8WY9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015L3o3M6kdaXRDw7FfKuu8m","name":"mcp__pal__chat","input":{"prompt":"Final round — one specific format question, then we're done.\n\n## Tier 1 + Tier 2 coexistence in a single turn\n\nConsider a real-world assistant turn that has text + PAL call + Read calls:\n\n```\nAssistant says: \"Let me review the design with PAL and check the implementation.\"\ntool_use: mcp__pal__chat (prompt: \"Review this design for session indexing...\")\ntool_use: Read (file_path: \"internal/session/parse.go\")\ntool_use: Read (file_path: \"internal/session/chunk.go\")\n```\n\nThis turn has:\n- Text (assistant speech) — always kept\n- A Tier 1 tool (PAL) — promoted to content\n- Two Tier 2 tools (Read) — enrich metadata\n\nHow should this render in the transcript? Two options:\n\n**(A) Inline everything:**\n```\nHuman: Check the design\nAssistant: Let me review the design with PAL and check the implementation.\n--- PAL: chat ---\nReview this design for session indexing...\n--- End PAL ---\n[Read: internal/session/parse.go]\n[Read: internal/session/chunk.go]\n```\n\n**(B) Separate promoted content from metadata:**\n```\nHuman: Check the design\nAssistant: Let me review the design with PAL and check the implementation.\n[Read: internal/session/parse.go]\n[Read: internal/session/chunk.go]\n\n--- PAL: chat ---\nReview this design for session indexing...\n--- End PAL ---\n```\n\nI lean (A) — tools in call order, with promoted content expanded inline and metadata as compact lines. Preserves chronological flow.\n\nAlso: should the Tier 2 lines replace the old `[Tools: Read, Bash]` format entirely, or supplement it? I think replacement — the enriched lines carry strictly more information than the name-only format.","model":"gemini-3-flash-preview","thinking_mode":"high","continuation_id":"bd6866b1-443a-4673-b571-766f684c52ac","working_directory_absolute_path":"/Users/sergio/Projects/personal/capy"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2822,"cache_read_input_tokens":116734,"output_tokens":920,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2822,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanooGsokqDmpNVwSVQ5c","type":"assistant","uuid":"b8b83ad4-159e-45ab-85cb-09dbe61b98f8","timestamp":"2026-05-07T07:23:52.407Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
{"parentUuid":"b8b83ad4-159e-45ab-85cb-09dbe61b98f8","isSidechain":false,"promptId":"036baabd-fd42-4c73-9595-da86eb02dfda","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015L3o3M6kdaXRDw7FfKuu8m","type":"tool_result","content":[{"type":"text","text":"{\"status\":\"continuation_available\",\"content\":\"I agree with your move toward **Option (A)**. Preserving the chronological flow is vital for debugging \\\"why\\\" the assistant asked a specific question. If the assistant reads a file and then asks PAL a question about it, the `[Read: ...]` metadata should logically precede the `--- PAL ---` block.\\n\\nHowever, to implement this without over-engineering the `TurnPair` struct into a complex list of \\\"InterleavedContent\\\" objects, we should refine how we aggregate data during the parsing phase.\\n\\n### 1. Structure Updates\\n\\nTo support enriched metadata and chronological flow, we need to move away from just `ToolNames`.\\n\\nIn `internal/session/parse.go`:\\n\\n```go\\n// LINE 26\\ntype TurnPair struct {\\n HumanText string\\n AssistantText string // Now contains BOTH speech AND Promoted (Tier 1) tool text\\n ToolMetadata []string // Enriched metadata lines (Tier 2) in call order\\n IsSubagent bool\\n // ...\\n}\\n\\n// LINE 80\\ntype parsedMessage struct {\\n lineType string \\n timestamp time.Time\\n sessionID string\\n text string // Aggregated speech + Promoted text\\n toolMetadata []string // Ordered Tier 2 lines\\n}\\n```\\n\\n### 2. Implementation of Option (A)\\n\\nIn `internal/session/transcript.go`, we can then simplify the rendering logic. By replacing the old `[Tools: ...]` comma-separated list with individual lines, we gain much better search specificity.\\n\\n```go\\n// Refined rendering in BuildTranscript (around LINE 70)\\nfmt.Fprintf(&b, \\\"Assistant: %s\\\\n\\\", tp.AssistantText)\\nfor _, meta := range tp.ToolMetadata {\\n fmt.Fprintf(&b, \\\"%s\\\\n\\\", meta)\\n}\\n```\\n\\n**Why replacement is better than supplement:**\\nA line like `[Read: internal/session/parse.go]` is strictly superior to a name-only `Read` entry. Supplementing would just create index bloat (BM25 would see the word \\\"Read\\\" twice).\\n\\n### 3. Edge Case: The Interleaving logic\\n\\nIn your example:\\n1. Speech\\n2. Tier 1 (PAL)\\n3. Tier 2 (Read)\\n\\nIf we aggregate all Tier 1 into `AssistantText` and all Tier 2 into `ToolMetadata`, the rendering will always show:\\n`Speech` -> `PAL` -> `Metadata`.\\n\\nThis is acceptable because Claude almost always places tool calls *after* the text block in a single response. If a turn has multiple Tier 1 and Tier 2 tools interleaved (e.g., `Read` -> `PAL` -> `Read`), the current `AssistantText` + `ToolMetadata` split will slightly break chronology by putting all `Read` calls at the bottom.\\n\\n**Question:** Is that \\\"bottom-loading\\\" of metadata acceptable, or do we need `AssistantText` to actually be a `[]string` where we append both Speech and Metadata in exact call order? \\n\\nI suspect \\\"bottom-loading\\\" is fine for v2 and keeps the `TurnPair` struct clean, but if you want perfect chronology, we should just treat Tier 2 lines as text and append them directly to `AssistantText`.\\n\\n### Final Decisions for v2:\\n- **Action Registry:** Returns `ActionPromote` (append to `AssistantText` with delimiters) or `ActionEnrich` (append to `ToolMetadata`).\\n- **Format:** Option (A) - chronologically appended where possible.\\n- **Replacement:** The `[Tools: Name, Name]` format is deprecated in favor of enriched lines.\\n\\nPlease continue this conversation using the **continuation_id** from this response if you want to settle the \\\"bottom-loading\\\" vs. \\\"perfect chronology\\\" trade-off before we finalize the `ToolExtractor` map.\\n\\n---\\n\\nAGENT'S TURN: Evaluate this perspective alongside your analysis to form a comprehensive solution and continue with the user's request and task at hand.\",\"content_type\":\"text\",\"metadata\":{\"tool_name\":\"chat\",\"conversation_ready\":true,\"model_used\":\"gemini-3-flash-preview\",\"provider_used\":\"google\"},\"continuation_offer\":{\"continuation_id\":\"bd6866b1-443a-4673-b571-766f684c52ac\",\"note\":\"You can continue this conversation for 41 more exchanges.\",\"remaining_turns\":41}}"}]}]},"uuid":"6c00bf53-b1e8-4b21-9da9-23091568ea5b","timestamp":"2026-05-07T07:24:08.370Z","toolUseResult":[{"type":"text","text":"{\"status\":\"continuation_available\",\"content\":\"I agree with your move toward **Option (A)**. Preserving the chronological flow is vital for debugging \\\"why\\\" the assistant asked a specific question. If the assistant reads a file and then asks PAL a question about it, the `[Read: ...]` metadata should logically precede the `--- PAL ---` block.\\n\\nHowever, to implement this without over-engineering the `TurnPair` struct into a complex list of \\\"InterleavedContent\\\" objects, we should refine how we aggregate data during the parsing phase.\\n\\n### 1. Structure Updates\\n\\nTo support enriched metadata and chronological flow, we need to move away from just `ToolNames`.\\n\\nIn `internal/session/parse.go`:\\n\\n```go\\n// LINE 26\\ntype TurnPair struct {\\n HumanText string\\n AssistantText string // Now contains BOTH speech AND Promoted (Tier 1) tool text\\n ToolMetadata []string // Enriched metadata lines (Tier 2) in call order\\n IsSubagent bool\\n // ...\\n}\\n\\n// LINE 80\\ntype parsedMessage struct {\\n lineType string \\n timestamp time.Time\\n sessionID string\\n text string // Aggregated speech + Promoted text\\n toolMetadata []string // Ordered Tier 2 lines\\n}\\n```\\n\\n### 2. Implementation of Option (A)\\n\\nIn `internal/session/transcript.go`, we can then simplify the rendering logic. By replacing the old `[Tools: ...]` comma-separated list with individual lines, we gain much better search specificity.\\n\\n```go\\n// Refined rendering in BuildTranscript (around LINE 70)\\nfmt.Fprintf(&b, \\\"Assistant: %s\\\\n\\\", tp.AssistantText)\\nfor _, meta := range tp.ToolMetadata {\\n fmt.Fprintf(&b, \\\"%s\\\\n\\\", meta)\\n}\\n```\\n\\n**Why replacement is better than supplement:**\\nA line like `[Read: internal/session/parse.go]` is strictly superior to a name-only `Read` entry. Supplementing would just create index bloat (BM25 would see the word \\\"Read\\\" twice).\\n\\n### 3. Edge Case: The Interleaving logic\\n\\nIn your example:\\n1. Speech\\n2. Tier 1 (PAL)\\n3. Tier 2 (Read)\\n\\nIf we aggregate all Tier 1 into `AssistantText` and all Tier 2 into `ToolMetadata`, the rendering will always show:\\n`Speech` -> `PAL` -> `Metadata`.\\n\\nThis is acceptable because Claude almost always places tool calls *after* the text block in a single response. If a turn has multiple Tier 1 and Tier 2 tools interleaved (e.g., `Read` -> `PAL` -> `Read`), the current `AssistantText` + `ToolMetadata` split will slightly break chronology by putting all `Read` calls at the bottom.\\n\\n**Question:** Is that \\\"bottom-loading\\\" of metadata acceptable, or do we need `AssistantText` to actually be a `[]string` where we append both Speech and Metadata in exact call order? \\n\\nI suspect \\\"bottom-loading\\\" is fine for v2 and keeps the `TurnPair` struct clean, but if you want perfect chronology, we should just treat Tier 2 lines as text and append them directly to `AssistantText`.\\n\\n### Final Decisions for v2:\\n- **Action Registry:** Returns `ActionPromote` (append to `AssistantText` with delimiters) or `ActionEnrich` (append to `ToolMetadata`).\\n- **Format:** Option (A) - chronologically appended where possible.\\n- **Replacement:** The `[Tools: Name, Name]` format is deprecated in favor of enriched lines.\\n\\nPlease continue this conversation using the **continuation_id** from this response if you want to settle the \\\"bottom-loading\\\" vs. \\\"perfect chronology\\\" trade-off before we finalize the `ToolExtractor` map.\\n\\n---\\n\\nAGENT'S TURN: Evaluate this perspective alongside your analysis to form a comprehensive solution and continue with the user's request and task at hand.\",\"content_type\":\"text\",\"metadata\":{\"tool_name\":\"chat\",\"conversation_ready\":true,\"model_used\":\"gemini-3-flash-preview\",\"provider_used\":\"google\"},\"continuation_offer\":{\"continuation_id\":\"bd6866b1-443a-4673-b571-766f684c52ac\",\"note\":\"You can continue this conversation for 41 more exchanges.\",\"remaining_turns\":41}}"}],"sourceToolAssistantUUID":"b8b83ad4-159e-45ab-85cb-09dbe61b98f8","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"a1bec011-7905-4f57-a917-d2c76180b24b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Szc1Lzx6MwaV8ntn5A9Mnh","type":"message","role":"assistant","content":[{"type":"text","text":"Both PAL sessions are done. Here's the consolidated consensus from 6 rounds across 2 independent sessions:\n\n---\n\n### Final Design Consensus\n\n**Core philosophy:** Selective enrichment, not completeness. Promote reasoning content, enrich metadata, discard noise.\n\n**Three tiers with Action enum:**\n\n| Tier | Action | Tools | Behavior |\n|---|---|---|---|\n| 1 — Reasoning | `Promote` | `mcp__pal__*` | Delimiter block in AssistantText, 768-char cap, counts toward IsIndexable |\n| 2 — Navigation | `Enrich` | Read, Bash, Write, Edit, Grep, Agent | Enriched metadata lines, replaces old `[Tools: ...]` format, DON'T create turns |\n| 3 — Noise | `Skip` | `mcp__capy__*`, `mcp__claude_ai_*` | Dropped entirely |\n| fallback | `Enrich` | Unknown | `[Tool: <name>]` (name only) |\n\n**Key decisions settled:**\n1. **tool_result** — deferred to v3 (YAGNI; prompt captures intent, which is more searchable than answer)\n2. **Truncation** — 768 chars for Tier 1 (compromise: captures full reasoning paragraph, not just opening)\n3. **IsIndexable** — Tier 1 counts, Tier 2 doesn't\n4. **Transcript format** — Option A (chronological), bottom-loading of metadata acceptable\n5. **`ToolNames` kept** alongside new `ToolMetadata` (names still needed for BM25 chunk titles)\n6. **Tool-only turns** — survive only if they contain Tier 1 content; pure Tier 2 turns stay discarded\n\n**One disagreement resolved:** PAL Flash initially argued to create \"navigation turns\" from significant Read sequences and to capture tool_result. Both were rejected on YAGNI + enrichment-not-completeness grounds. Flash agreed on pushback.\n\n**One design improvement from PAL:** Tier 1 content should count toward `IsIndexable` — a session that's pure PAL design consultation with no \"natural\" assistant text is still worth indexing.\n\n---\n\nShall I proceed to Step 4 (describe the full design section by section) and then Step 5 (write the docs)?"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2089,"cache_read_input_tokens":119556,"output_tokens":1584,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2089,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanoqueCmx4KoZsHaETJM","type":"assistant","uuid":"03bf7452-7cdd-428d-94bb-745c53d74ddb","timestamp":"2026-05-07T07:24:43.856Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"078734b0-e931-4fc7-a54b-63d4d77d64b3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LGH3pToTuGkhK2NrxLYXAU","type":"message","role":"assistant","content":[{"type":"text","text":"```\nTask Progress:\n- [x] Step 1: Understand the current state of the project\n- [x] Step 2: Check the documentation\n- [x] Step 3: Help refine the idea/feature\n- [ ] Step 4: Describe the design\n- [ ] Step 5: Document the design\n- [ ] Step 6: Create the task list\n```\n\n### Section 1 of 5: Problem & Scope\n\nSession indexing v1 captures human/assistant conversational text and tool names but cannot distinguish between noise tools (15 consecutive Read calls exploring a codebase) and reasoning tools (a `mcp__pal__chat` call carrying design trade-off analysis). The result: sessions rich in tool-mediated reasoning index as sparse transcripts that miss the most valuable content.\n\nThe fix is **selective enrichment** — not capturing all tool content, but promoting high-signal tool inputs to first-class transcript content and enriching existing turns with better tool metadata. Three categories of change:\n\n1. **Promote** reasoning tools (`mcp__pal__*`) whose inputs contain human-readable design discussion — these become transcript content with delimiter blocks, like sub-agent conversations.\n2. **Enrich** navigation tools (Read, Bash, Edit, Write, Agent) on text-bearing turns — the `[Tools: Read, Bash]` metadata line gains specificity (`[Read: internal/store/types.go]`).\n3. **Skip** self-referential and infrastructure tools (`mcp__capy__*`, `mcp__claude_ai_*`).\n\nScope is confined to `internal/session/` — one new file (`tools.go`) and modifications to `parse.go` and `transcript.go`. No schema migrations, no store changes, no new MCP tools, no chunking changes. Re-indexing happens naturally when the sweep detects content hash changes on the next server boot.\n\nTool-only turns (pure Read/Bash sequences with no assistant text) remain discarded — exploration noise is not enrichment. The exception: tool-only turns containing Tier 1 (Promote) tools survive, because the promoted content becomes the assistant text.\n\n---\n\nDoes this look right?"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":1606,"cache_read_input_tokens":121645,"output_tokens":625,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1606,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011Canp7JpPodQr1xUj7rGmT","type":"assistant","uuid":"0c15331b-1508-42da-925a-0e6675cf9b25","timestamp":"2026-05-07T07:27:55.161Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"136b35f6-ef8c-4a3d-b3a3-8532f56b27a5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DRZD4JLtFT7WndZGejRUKb","type":"message","role":"assistant","content":[{"type":"text","text":"### Section 2 of 5: Extractor Registry Architecture\n\nA new file `internal/session/tools.go` houses a table-driven registry that maps tool names to extraction behavior. The core types:\n\n```\nAction enum: Promote | Enrich | Skip\nToolExtractor: func(input json.RawMessage) (text string, action Action)\n```\n\nThe registry is a package-level `ExtractorRegistry` struct holding a `map[string]ToolExtractor` for exact matches, a sorted prefix list for MCP namespace matching, and a fallback extractor. Lookup order: exact name → longest matching prefix → fallback.\n\n**Why table-driven, not pattern-based:** MCP namespaces don't reliably predict input format. `mcp__pal__chat` has human-readable text; `mcp__serena__find_symbol` has structured JSON. A pattern like `mcp__pal__*` works only because we inspected every tool in that namespace. Making this explicit in a table is honest about what we know.\n\n**Why not a \"smart\" fallback that walks JSON:** We considered a fallback that extracts short string values from unknown tool inputs. Rejected — most unknown tools have structured JSON where extracting random field values adds noise to BM25 (`\"mode\": \"fast\"`, `\"uuid\": \"abc-123\"`). The fallback emits `[Tool: <name>]` — a searchable breadcrumb that the tool was called, without polluting term frequencies.\n\nEach extractor is a pure function that unmarshals only the fields it needs into a minimal struct (e.g., `struct{ FilePath string }`), not the full tool input schema. If unmarshalling fails, the extractor falls back to the `Enrich` action with name-only output — malformed inputs never cause a parse failure.\n\nThe registry is initialized once at package level. Adding a new tool is a single table entry — no code changes to the parser or transcript builder.\n\n---\n\nDoes this look right?"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":747,"cache_read_input_tokens":123251,"output_tokens":471,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":747,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanpBdcbyzFrsB536Hht6","type":"assistant","uuid":"1a026437-9f24-402a-912d-c88f6a22212d","timestamp":"2026-05-07T07:28:51.585Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"b6241654-b6ce-44b6-ac45-2c34dcc1506c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LKU1azaTjippQ3eZErUa3o","type":"message","role":"assistant","content":[{"type":"text","text":"You're right. Default to Skip is more consistent with the enrichment philosophy.\n\nThe table should be the **exhaustive policy** of what gets indexed. If we haven't evaluated a tool's value, we shouldn't index anything about it. An unknown tool name like `[Tool: mcp__serena__find_symbol]` isn't what someone would search for — they'd search for what the tool found, which lives in the assistant's text.\n\nOne thing to be explicit about: this means `ToolNames` (used for BM25 chunk titles) also stops collecting skipped tools. In v1, a text-bearing turn with `Read + mcp__serena__find_symbol` produces `[Tools: Read, mcp__serena__find_symbol]`. In v2 with Skip-default, the serena tool vanishes from both metadata and title. That's a minor regression from v1 for unknown tools — but I'd argue if the tool isn't in the table, its name in a chunk title wasn't helping retrieval anyway.\n\n**Revised fallback:** Unknown tools → `Skip`. The registry is the single source of truth for what enters the index.\n\nUpdated section 2 to reflect this. Moving on.\n\n---\n\n### Section 3 of 5: Tier Classification & Tool Handling\n\nThe registry contains these entries:\n\n**Tier 1 — Promote (becomes transcript content):**\n\n| Pattern | Input field | Format | Truncation |\n|---|---|---|---|\n| `mcp__pal__*` (prefix) | `prompt` | `--- PAL: <subtool> ---\\n<text>\\n--- End PAL ---` | 768 chars |\n\nPAL tools are the primary enrichment target. Their `input.prompt` field carries human-readable design reasoning — questions, trade-off analysis, critique. The delimiter format reuses the sub-agent block pattern already in the transcript, making PAL exchanges searchable alongside sub-agent work.\n\n768-char cap: preserves the prompt's opening (which states the question/goal) plus a full paragraph of reasoning, while leaving ~80% of a 4096-byte chunk for surrounding conversation.\n\nOnly the prompt (tool input) is captured. The tool_result (PAL's response) is deferred to v3 — the assistant's synthesis is the primary searchable artifact, and correlating tool_result blocks with their originating tool_use across message boundaries requires parser changes that don't justify the v2 scope.\n\n**Tier 2 — Enrich (metadata on text-bearing turns):**\n\n| Tool | Input field | Format |\n|---|---|---|\n| `Read` | `file_path` | `[Read: <path>]` |\n| `Bash` | `command` | `[Bash: <command>]` (200 chars) |\n| `Write` | `file_path` | `[Write: <path>]` |\n| `Edit` | `file_path` | `[Edit: <path>]` |\n| `Grep` | `pattern` | `[Grep: <pattern>]` |\n| `Agent` | `description`, `subagent_type` | `[Agent: <type> — \"<desc>\"]` |\n\nThese replace the v1 `[Tools: Read, Bash]` line with per-tool enriched lines. They don't create turns — tool-only sequences of Tier 2 calls remain discarded.\n\n**Tier 3 — Skip (dropped entirely):**\n\n| Pattern | Reason |\n|---|---|\n| `mcp__capy__*` (prefix) | Self-referential indexing |\n| `mcp__claude_ai_*` (prefix) | Authentication infrastructure |\n| Everything else (fallback) | Unevaluated — not in policy table |\n\n---\n\nDoes this look right?"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":494,"cache_read_input_tokens":123998,"output_tokens":1668,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":494,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CanpLr2DvWGMdyQ3DUafL","type":"assistant","uuid":"1bff83a0-87b1-47ff-961a-fb00a8667c81","timestamp":"2026-05-07T07:31:19.467Z","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"330f5e03-67fc-4cf4-a9f7-6169ecd7cb27","isSidechain":false,"promptId":"c5c55795-d74b-4b40-b054-728abb0a410c","type":"user","message":{"role":"user","content":"sounds almost correct, but not all pal tools need to be enriched, for example (not sure if that's a given or needs to be explicitly mentioned), for example listmodels brings no value\nnot all bash commands bring value: many git subcommands, for example, if not all, bring little value, do they?"},"uuid":"c69a1c99-d21a-4626-87f4-e3beda094242","timestamp":"2026-05-07T07:33:41.884Z","permissionMode":"default","userType":"external","entrypoint":"cli","cwd":"/Users/sergio/Projects/personal/capy","sessionId":"b73c8a63-0710-494e-9748-1bcce18ddfef","version":"2.1.131","gitBranch":"master"}
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{"parentUuid":"dbc13718-9b2d-4f38-9aa4-6734a7e6c1e1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PyfFpRUsedjeyaaQtwkkwk","type":"message","role":"assistant","content":[{"type":"text","text":"Both good catches.\n\n**PAL tools:** You're right — `mcp__pal__listmodels` and `mcp__pal__version` are utility calls with no reasoning content. The `mcp__pal__*` prefix match is too broad. Should be **exact matches** for the conversational PAL tools: `chat`, `thinkdeep`, `codereview`, `consensus`, `analyze`, `debug`, `planner`, `challenge`, `secaudit`, `refactor`. Everything else in the `mcp__pal__` namespace falls through to Skip.\n\n**Bash commands:** You're right here too. `git log`, `git status`, `git diff`, `git branch`, `ls`, `mkdir` — these are routine navigation that the assistant's text already describes (\"Let me check the git history\"). The command string itself isn't what you'd search for.\n\nBut this raises a design question: is Bash worth enriching *at all*? The cases where a Bash command adds real search value — `go test ./...`, `grep -r \"pattern\"`, `make build` — are arguably covered by the assistant's text (\"the tests failed\" / \"I found the pattern in...\"). And adding a sub-filter within the Bash extractor to distinguish git commands from non-git commands adds complexity for marginal gain.\n\nMy instinct is to **demote Bash to
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