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{"parentUuid":"35eafe3b-786f-45e2-b7ca-57821b4fc780","isSidechain":false,"promptId":"37d63193-e631-420e-9a30-ce981731e602","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XbynafQo3izVBsBGAzj5vN","type":"tool_result","content":"src/agent_kitchen/timeline.py:25:        return \"Yesterday\"\nsrc/agent_kitchen/timeline.py:34:    yesterday = today - timedelta(days=1)\nsrc/agent_kitchen/timeline.py:35:    # Handle \"Today\" and \"Yesterday\" for single-day ranges\nsrc/agent_kitchen/timeline.py:36:    if end == today and start == yesterday:\nsrc/agent_kitchen/timeline.py:37:        return \"Yesterday-Today\"\nsrc/agent_kitchen/timeline.py:102:- Period: human-readable date range (\"Today\", \"Yesterday\", \"Mar 10-11\")"}]},"uuid":"4e8362f6-9cd3-43d0-bc4d-76f83cd7430d","timestamp":"2026-03-16T03:00:42.093Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"src/agent_kitchen/timeline.py:25:        return \"Yesterday\"\nsrc/agent_kitchen/timeline.py:34:    yesterday = today - timedelta(days=1)\nsrc/agent_kitchen/timeline.py:35:    # Handle \"Today\" and \"Yesterday\" for single-day ranges\nsrc/agent_kitchen/timeline.py:36:    if end == today and start == yesterday:\nsrc/agent_kitchen/timeline.py:37:        return \"Yesterday-Today\"\nsrc/agent_kitchen/timeline.py:102:- Period: human-readable date range (\"Today\", \"Yesterday\", \"Mar 10-11\")","numLines":6},"sourceToolAssistantUUID":"35eafe3b-786f-45e2-b7ca-57821b4fc780","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
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{"parentUuid":"1afd42ef-f551-44b1-a827-a4a4e6e2d7e2","isSidechain":false,"promptId":"37d63193-e631-420e-9a30-ce981731e602","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EgrGWwiDeayPHfFzN5hTC3","type":"tool_result","content":"     1→# ABOUTME: Generates group-level timelines showing how work evolved over time.\n     2→# ABOUTME: Buckets sessions by day, optionally merges phases via LLM.\n     3→\n     4→import asyncio\n     5→import json\n     6→import logging\n     7→from collections import defaultdict\n     8→from datetime import date, datetime, timedelta, timezone\n     9→\n    10→from agent_kitchen.config import HAIKU_MODEL, SUMMARY_CONCURRENCY\n    11→from agent_kitchen.models import NonRepoGroup, RepoGroup, Session, TimelinePhase\n    12→\n    13→# Union type for groups that have timelines\n    14→TimelineGroup = RepoGroup | NonRepoGroup\n    15→\n    16→logger = logging.getLogger(__name__)\n    17→\n    18→\n    19→def _format_period(d: date) -> str:\n    20→    \"\"\"Format a single date as a human-readable period string.\"\"\"\n    21→    today = datetime.now(timezone.utc).date()\n    22→    if d == today:\n    23→        return \"Today\"\n    24→    if d == today - timedelta(days=1):\n    25→        return \"Yesterday\"\n    26→    return d.strftime(\"%b %-d\")\n    27→\n    28→\n    29→def _format_date_range(start: date, end: date) -> str:\n    30→    \"\"\"Format a date range as a human-readable period string.\"\"\"\n    31→    if start == end:\n    32→        return _format_period(start)\n    33→    today = datetime.now(timezone.utc).date()\n    34→    yesterday = today - timedelta(days=1)\n    35→    # Handle \"Today\" and \"Yesterday\" for single-day ranges\n    36→    if end == today and start == yesterday:\n    37→        return \"Yesterday-Today\"\n    38→    if start.month == end.month:\n    39→        return f\"{start.strftime('%b')} {start.day}-{end.day}\"\n    40→    return f\"{start.strftime('%b %-d')}-{end.strftime('%b %-d')}\"\n    41→\n    42→\n    43→def _aggregate_status(sessions: list[Session]) -> str:\n    44→    \"\"\"Determine the overall status for a group of sessions.\"\"\"\n    45→    statuses = {s.status for s in sessions}\n    46→    active = {\"in progress\", \"likely in progress\", \"waiting for input\"}\n    47→    done = {\"done\", \"likely done\"}\n    48→    if statuses <= done:\n    49→        return \"done\"\n    50→    if statuses & active:"}]},"uuid":"eb53f9f6-fe8e-4fc7-8afe-28a951c68ab4","timestamp":"2026-03-16T03:00:46.095Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/haldar/repos/gh/agent-kitchen/src/agent_kitchen/timeline.py","content":"# ABOUTME: Generates group-level timelines showing how work evolved over time.\n# ABOUTME: Buckets sessions by day, optionally merges phases via LLM.\n\nimport asyncio\nimport json\nimport logging\nfrom collections import defaultdict\nfrom datetime import date, datetime, timedelta, timezone\n\nfrom agent_kitchen.config import HAIKU_MODEL, SUMMARY_CONCURRENCY\nfrom agent_kitchen.models import NonRepoGroup, RepoGroup, Session, TimelinePhase\n\n# Union type for groups that have timelines\nTimelineGroup = RepoGroup | NonRepoGroup\n\nlogger = logging.getLogger(__name__)\n\n\ndef _format_period(d: date) -> str:\n    \"\"\"Format a single date as a human-readable period string.\"\"\"\n    today = datetime.now(timezone.utc).date()\n    if d == today:\n        return \"Today\"\n    if d == today - timedelta(days=1):\n        return \"Yesterday\"\n    return d.strftime(\"%b %-d\")\n\n\ndef _format_date_range(start: date, end: date) -> str:\n    \"\"\"Format a date range as a human-readable period string.\"\"\"\n    if start == end:\n        return _format_period(start)\n    today = datetime.now(timezone.utc).date()\n    yesterday = today - timedelta(days=1)\n    # Handle \"Today\" and \"Yesterday\" for single-day ranges\n    if end == today and start == yesterday:\n        return \"Yesterday-Today\"\n    if start.month == end.month:\n        return f\"{start.strftime('%b')} {start.day}-{end.day}\"\n    return f\"{start.strftime('%b %-d')}-{end.strftime('%b %-d')}\"\n\n\ndef _aggregate_status(sessions: list[Session]) -> str:\n    \"\"\"Determine the overall status for a group of sessions.\"\"\"\n    statuses = {s.status for s in sessions}\n    active = {\"in progress\", \"likely in progress\", \"waiting for input\"}\n    done = {\"done\", \"likely done\"}\n    if statuses <= done:\n        return \"done\"\n    if statuses & active:","numLines":50,"startLine":1,"totalLines":308}},"sourceToolAssistantUUID":"1afd42ef-f551-44b1-a827-a4a4e6e2d7e2","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
{"parentUuid":"eb53f9f6-fe8e-4fc7-8afe-28a951c68ab4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01S4GZ7zsFLTsKuSdougRDL5","type":"message","role":"assistant","content":[{"type":"text","text":"The bug is on line 21. It uses `datetime.now(timezone.utc).date()` which gives today's date in UTC. But if you're in a US timezone (e.g., PDT = UTC-7), late afternoon UTC is already \"tomorrow\" in UTC terms — or more precisely, early morning UTC hasn't caught up to your local \"today\" yet.\n\nWait, actually the issue is the opposite. The session timestamps from JSONL might be in UTC while the comparison uses UTC date. But the user is saying something from today shows as \"Yesterday\". Let me think...\n\nIf it's March 15 in your local timezone (PDT, UTC-7), then `datetime.now(timezone.utc).date()` is also March 15 (it's still March 15 UTC unless it's after 5pm PDT). But the session's date — how is it extracted?"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":771,"cache_read_input_tokens":28648,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":771},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ61hRkhvA5RQ3tUqbLxq","type":"assistant","uuid":"db7450d0-22bc-4ca5-a953-8257509c13f1","timestamp":"2026-03-16T03:00:53.972Z","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
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{"parentUuid":"845d8691-a048-46fe-a0ca-8597f0a393ff","isSidechain":false,"promptId":"37d63193-e631-420e-9a30-ce981731e602","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RMkLp4YHgsQfmgXJiQ34DH","type":"tool_result","content":"56:def _sessions_by_day(sessions: list[Session]) -> list[tuple[date, list[Session]]]:\n57:    \"\"\"Bucket sessions by started_at date, newest first.\"\"\"\n75:        # Use the first session's summary (sessions are sorted by last_active desc within group)\n76:        day_sessions.sort(key=lambda s: s.last_active, reverse=True)\n134:        day_sessions.sort(key=lambda s: s.last_active, reverse=True)"}]},"uuid":"262f78de-7a4e-4c9f-ab8f-b5c457f21542","timestamp":"2026-03-16T03:00:54.737Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"56:def _sessions_by_day(sessions: list[Session]) -> list[tuple[date, list[Session]]]:\n57:    \"\"\"Bucket sessions by started_at date, newest first.\"\"\"\n75:        # Use the first session's summary (sessions are sorted by last_active desc within group)\n76:        day_sessions.sort(key=lambda s: s.last_active, reverse=True)\n134:        day_sessions.sort(key=lambda s: s.last_active, reverse=True)","numLines":5},"sourceToolAssistantUUID":"845d8691-a048-46fe-a0ca-8597f0a393ff","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
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{"parentUuid":"4daed1c1-8513-4ebf-994f-72ab68ad5bc4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01H1giscPXQaexMd3WyMe3B2","toolUseID":"toolu_01H1giscPXQaexMd3WyMe3B2","timestamp":"2026-03-16T03:00:58.590Z","uuid":"b8d1374f-4cae-4aef-8306-383cb003b3a9","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
{"parentUuid":"4daed1c1-8513-4ebf-994f-72ab68ad5bc4","isSidechain":false,"promptId":"37d63193-e631-420e-9a30-ce981731e602","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01H1giscPXQaexMd3WyMe3B2","type":"tool_result","content":"    56→def _sessions_by_day(sessions: list[Session]) -> list[tuple[date, list[Session]]]:\n    57→    \"\"\"Bucket sessions by started_at date, newest first.\"\"\"\n    58→    by_day: dict[date, list[Session]] = defaultdict(list)\n    59→    for s in sessions:\n    60→        ts = s.started_at if s.started_at.tzinfo else s.started_at.replace(tzinfo=timezone.utc)\n    61→        day = ts.date()\n    62→        by_day[day].append(s)\n    63→    # Sort days newest first\n    64→    sorted_days = sorted(by_day.keys(), reverse=True)\n    65→    return [(day, by_day[day]) for day in sorted_days]\n    66→\n    67→\n    68→def fallback_timeline(sessions: list[Session]) -> list[TimelinePhase]:\n    69→    \"\"\"Generate a timeline without LLM: one phase per day, description from first session.\"\"\"\n    70→    if not sessions:\n    71→        return []\n    72→    days = _sessions_by_day(sessions)\n    73→    phases = []\n    74→    for day, day_sessions in days:\n    75→        # Use the first session's summary (sessions are sorted by last_active desc within group)\n    76→        day_sessions.sort(key=lambda s: s.last_active, reverse=True)\n    77→        desc = day_sessions[0].summary or \"Work session\"\n    78→        if len(desc) > 80:\n    79→            desc = desc[:77] + \"...\"\n    80→        phases.append(\n    81→            TimelinePhase(\n    82→                period=_format_period(day),\n    83→                description=desc,\n    84→                session_count=len(day_sessions),\n    85→                status=_aggregate_status(day_sessions),"}]},"uuid":"e2bb9d88-ebfa-47d5-8fba-b06ad1b8f271","timestamp":"2026-03-16T03:00:58.589Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/haldar/repos/gh/agent-kitchen/src/agent_kitchen/timeline.py","content":"def _sessions_by_day(sessions: list[Session]) -> list[tuple[date, list[Session]]]:\n    \"\"\"Bucket sessions by started_at date, newest first.\"\"\"\n    by_day: dict[date, list[Session]] = defaultdict(list)\n    for s in sessions:\n        ts = s.started_at if s.started_at.tzinfo else s.started_at.replace(tzinfo=timezone.utc)\n        day = ts.date()\n        by_day[day].append(s)\n    # Sort days newest first\n    sorted_days = sorted(by_day.keys(), reverse=True)\n    return [(day, by_day[day]) for day in sorted_days]\n\n\ndef fallback_timeline(sessions: list[Session]) -> list[TimelinePhase]:\n    \"\"\"Generate a timeline without LLM: one phase per day, description from first session.\"\"\"\n    if not sessions:\n        return []\n    days = _sessions_by_day(sessions)\n    phases = []\n    for day, day_sessions in days:\n        # Use the first session's summary (sessions are sorted by last_active desc within group)\n        day_sessions.sort(key=lambda s: s.last_active, reverse=True)\n        desc = day_sessions[0].summary or \"Work session\"\n        if len(desc) > 80:\n            desc = desc[:77] + \"...\"\n        phases.append(\n            TimelinePhase(\n                period=_format_period(day),\n                description=desc,\n                session_count=len(day_sessions),\n                status=_aggregate_status(day_sessions),","numLines":30,"startLine":56,"totalLines":308}},"sourceToolAssistantUUID":"4daed1c1-8513-4ebf-994f-72ab68ad5bc4","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
{"parentUuid":"e2bb9d88-ebfa-47d5-8fba-b06ad1b8f271","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_014ADibgvcqbNcgRWeVts9Ef","type":"message","role":"assistant","content":[{"type":"text","text":"Found it. On line 60-61, the session's `started_at` is converted to a date using UTC. But on line 21, \"today\" is computed as `datetime.now(timezone.utc).date()`. \n\nThe problem: session timestamps from Claude Code JSONL are likely in local time (or at least represent local time). When you bucket them with `.date()` after treating them as UTC, a session started at e.g. 2025-03-15 08:00 PDT is stored as `2025-03-15T08:00:00` without timezone info, gets treated as UTC, and its `.date()` is March 15. But `datetime.now(timezone.utc)` at 8am PDT is actually `2025-03-15T15:00:00 UTC` — so dates match here.\n\nActually wait, let me check what timezone the `started_at` timestamps actually have."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":598,"cache_read_input_tokens":29869,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":598},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ61iM7vyQPPXNdUwTHcs","type":"assistant","uuid":"8aee6684-38a3-449f-bd9a-f4a35017dd84","timestamp":"2026-03-16T03:01:06.863Z","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
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{"parentUuid":"66e4bf8b-2e4d-44c7-9503-e93665e9d4d5","isSidechain":false,"promptId":"37d63193-e631-420e-9a30-ce981731e602","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U5BW2VPFUa8uJiRmaRLuKL","type":"tool_result","content":"103:    started_at = None\n123:                if started_at is None or timestamp < started_at:\n124:                    started_at = timestamp\n140:    if started_at is None or last_active is None:\n167:        started_at=started_at,\n245:    Returns (session_id, started_at) or None if the filename doesn't match.\n252:        started_at = datetime(\n263:    return session_id, started_at\n293:    session_id, filename_started_at = parsed\n307:    started_at = filename_started_at\n308:    last_active = filename_started_at\n333:                started_at = meta_ts\n354:        started_at=started_at,"}]},"uuid":"d732d97e-c804-4bad-850b-fa1594cb0588","timestamp":"2026-03-16T03:01:07.292Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"103:    started_at = None\n123:                if started_at is None or timestamp < started_at:\n124:                    started_at = timestamp\n140:    if started_at is None or last_active is None:\n167:        started_at=started_at,\n245:    Returns (session_id, started_at) or None if the filename doesn't match.\n252:        started_at = datetime(\n263:    return session_id, started_at\n293:    session_id, filename_started_at = parsed\n307:    started_at = filename_started_at\n308:    last_active = filename_started_at\n333:                started_at = meta_ts\n354:        started_at=started_at,","numLines":13},"sourceToolAssistantUUID":"66e4bf8b-2e4d-44c7-9503-e93665e9d4d5","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
{"parentUuid":"d732d97e-c804-4bad-850b-fa1594cb0588","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012PvnuRR7TnVGDQFtYLbaBP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D9cxeTi9HXjkWjteeBU2u9","name":"Read","input":{"file_path":"/Users/haldar/repos/gh/agent-kitchen/src/agent_kitchen/scanner.py","offset":100,"limit":35},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":510,"cache_read_input_tokens":30467,"output_tokens":109,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":510,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ61izVEcXguxqfgY6kna","type":"assistant","uuid":"ad0e0bee-8759-42d4-b9ce-9d13a066fc96","timestamp":"2026-03-16T03:01:10.894Z","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
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{"parentUuid":"ad0e0bee-8759-42d4-b9ce-9d13a066fc96","isSidechain":false,"promptId":"37d63193-e631-420e-9a30-ce981731e602","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D9cxeTi9HXjkWjteeBU2u9","type":"tool_result","content":"   100→    cwd = None\n   101→    git_branch = None\n   102→    slug = None\n   103→    started_at = None\n   104→    last_active = None\n   105→    turn_count = 0\n   106→    user_turn_count = 0\n   107→    first_user_text = None\n   108→\n   109→    # Scan all records for metadata and turn count\n   110→    for line in lines:\n   111→        record = _parse_jsonl_line(line)\n   112→        if not record:\n   113→            continue\n   114→\n   115→        record_type = record.get(\"type\")\n   116→        timestamp = _parse_timestamp(record.get(\"timestamp\"))\n   117→\n   118→        if record_type in (\"user\", \"assistant\"):\n   119→            turn_count += 1\n   120→\n   121→            # Track timestamps\n   122→            if timestamp:\n   123→                if started_at is None or timestamp < started_at:\n   124→                    started_at = timestamp\n   125→                if last_active is None or timestamp > last_active:\n   126→                    last_active = timestamp\n   127→\n   128→        if record_type == \"user\":\n   129→            user_turn_count += 1\n   130→            if first_user_text is None:\n   131→                first_user_text = _extract_message_text(record)\n   132→            # Extract metadata from user records\n   133→            if cwd is None:\n   134→                cwd = record.get(\"cwd\")"}]},"uuid":"2e29a111-4417-4764-8a9e-b29de8842528","timestamp":"2026-03-16T03:01:10.912Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/haldar/repos/gh/agent-kitchen/src/agent_kitchen/scanner.py","content":"    cwd = None\n    git_branch = None\n    slug = None\n    started_at = None\n    last_active = None\n    turn_count = 0\n    user_turn_count = 0\n    first_user_text = None\n\n    # Scan all records for metadata and turn count\n    for line in lines:\n        record = _parse_jsonl_line(line)\n        if not record:\n            continue\n\n        record_type = record.get(\"type\")\n        timestamp = _parse_timestamp(record.get(\"timestamp\"))\n\n        if record_type in (\"user\", \"assistant\"):\n            turn_count += 1\n\n            # Track timestamps\n            if timestamp:\n                if started_at is None or timestamp < started_at:\n                    started_at = timestamp\n                if last_active is None or timestamp > last_active:\n                    last_active = timestamp\n\n        if record_type == \"user\":\n            user_turn_count += 1\n            if first_user_text is None:\n                first_user_text = _extract_message_text(record)\n            # Extract metadata from user records\n            if cwd is None:\n                cwd = record.get(\"cwd\")","numLines":35,"startLine":100,"totalLines":404}},"sourceToolAssistantUUID":"ad0e0bee-8759-42d4-b9ce-9d13a066fc96","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
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{"parentUuid":"33c63270-5a0e-4ea9-be75-a53bf925778e","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01UrokX3g4LtdMR3v4uqb8gz","toolUseID":"toolu_01UrokX3g4LtdMR3v4uqb8gz","timestamp":"2026-03-16T03:01:16.587Z","uuid":"708dda43-e3ce-41b7-9068-2d5fd5d41dc9","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
{"parentUuid":"33c63270-5a0e-4ea9-be75-a53bf925778e","isSidechain":false,"promptId":"37d63193-e631-420e-9a30-ce981731e602","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UrokX3g4LtdMR3v4uqb8gz","type":"tool_result","content":"68:def _parse_timestamp(ts: str | None) -> datetime | None:\n69-    \"\"\"Parse an ISO 8601 timestamp string to a timezone-aware datetime.\"\"\"\n70-    if not ts:\n71-        return None\n72-    try:\n73-        dt = datetime.fromisoformat(ts.replace(\"Z\", \"+00:00\"))\n74-        if dt.tzinfo is None:\n75-            dt = dt.replace(tzinfo=timezone.utc)\n76-        return dt\n77-    except (ValueError, AttributeError):\n78-        return None\n79-\n80-\n81-def _scan_single_claude_file(file_path: Path) -> Session | None:\n82-    \"\"\"Parse a single Claude Code JSONL session file into a Session object.\"\"\"\n83-    try:"}]},"uuid":"14308c28-9226-4639-8432-ec7f993c859c","timestamp":"2026-03-16T03:01:16.587Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"68:def _parse_timestamp(ts: str | None) -> datetime | None:\n69-    \"\"\"Parse an ISO 8601 timestamp string to a timezone-aware datetime.\"\"\"\n70-    if not ts:\n71-        return None\n72-    try:\n73-        dt = datetime.fromisoformat(ts.replace(\"Z\", \"+00:00\"))\n74-        if dt.tzinfo is None:\n75-            dt = dt.replace(tzinfo=timezone.utc)\n76-        return dt\n77-    except (ValueError, AttributeError):\n78-        return None\n79-\n80-\n81-def _scan_single_claude_file(file_path: Path) -> Session | None:\n82-    \"\"\"Parse a single Claude Code JSONL session file into a Session object.\"\"\"\n83-    try:","numLines":16},"sourceToolAssistantUUID":"33c63270-5a0e-4ea9-be75-a53bf925778e","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
{"parentUuid":"14308c28-9226-4639-8432-ec7f993c859c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_014jYApiK6xMLB3TfKb4MEgm","type":"message","role":"assistant","content":[{"type":"text","text":"OK so timestamps are parsed and treated as UTC if no timezone info. Now the real issue: in `_sessions_by_day` (line 60-61), `ts.date()` extracts the date in UTC. But in `_format_period` (line 21), `datetime.now(timezone.utc).date()` also gets today in UTC.\n\nThe problem is that session dates are bucketed in UTC, but the user is in a US timezone. A session started at, say, 2026-03-15 02:00 UTC (which is 2026-03-14 19:00 PDT) would show as March 15 in the timeline. But that's not the issue described.\n\nMore likely: the timestamps in Claude Code JSONL have local timezone offsets. A session at `2026-03-15T10:00:00-07:00` (10am PDT) converts to `2026-03-15T17:00:00+00:00` UTC. Its `.date()` is March 15. And `datetime.now(timezone.utc).date()` at that moment is also March 15. So that should work...\n\nUnless the commit was made right around midnight UTC. Let me check the git log for the commit mentioned in the screenshot (\"Add timeline support for non-git-repo groups\")."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":337,"cache_read_input_tokens":31597,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":337},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ61jgMMSKXUi7Rd1HAj6","type":"assistant","uuid":"d3284aa7-97d9-4db8-a819-e39212de155a","timestamp":"2026-03-16T03:01:27.432Z","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
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{"parentUuid":"25891bf8-e84e-4def-8f93-44be8ff6c865","isSidechain":false,"promptId":"37d63193-e631-420e-9a30-ce981731e602","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012fEPrvcHrM4P6cnJbyTRTb","type":"tool_result","content":"95ca25cde1eb12651bf9e9a68397a8f578bfb180 2026-03-15 17:50:42 -0700 Bump version to 0.2.0\nb47556faecba2e0fe14cafeeeec8569367cbcd21 2026-03-15 17:47:11 -0700 Rewrite README to lead with value prop and screenshot\nd6cfb2be5d497c15e880ce7fea105addd0f997d3 2026-03-15 12:57:02 -0700 Add timeline support for non-repo groups like home directory\n5fb3156e46b3aa01844cc838db536b6be054fc68 2026-03-15 12:50:50 -0700 Add repo-level timeline showing work evolution over time\n91c7863c3fc0492068f2b145f5935185c24fc46c 2026-03-15 12:40:18 -0700 Filter summarizer sessions from dashboard by prompt signature","is_error":false}]},"uuid":"49e0dd89-fb79-487e-8ad4-dc4be79be0ea","timestamp":"2026-03-16T03:01:28.499Z","toolUseResult":{"stdout":"95ca25cde1eb12651bf9e9a68397a8f578bfb180 2026-03-15 17:50:42 -0700 Bump version to 0.2.0\nb47556faecba2e0fe14cafeeeec8569367cbcd21 2026-03-15 17:47:11 -0700 Rewrite README to lead with value prop and screenshot\nd6cfb2be5d497c15e880ce7fea105addd0f997d3 2026-03-15 12:57:02 -0700 Add timeline support for non-repo groups like home directory\n5fb3156e46b3aa01844cc838db536b6be054fc68 2026-03-15 12:50:50 -0700 Add repo-level timeline showing work evolution over time\n91c7863c3fc0492068f2b145f5935185c24fc46c 2026-03-15 12:40:18 -0700 Filter summarizer sessions from dashboard by prompt signature","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"25891bf8-e84e-4def-8f93-44be8ff6c865","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
{"parentUuid":"49e0dd89-fb79-487e-8ad4-dc4be79be0ea","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BY3AKc5BX4pTTLErFBeCsj","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"[encoded data, 8436 characters]"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":657,"cache_read_input_tokens":31934,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":657},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ61kZLhggRHJYAepr4Kn","type":"assistant","uuid":"4ad5fdfe-eeef-40f9-a75f-9e455ec78769","timestamp":"2026-03-16T03:02:09.225Z","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
{"parentUuid":"4ad5fdfe-eeef-40f9-a75f-9e455ec78769","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BY3AKc5BX4pTTLErFBeCsj","type":"message","role":"assistant","content":[{"type":"text","text":"Found the bug. The issue is a UTC vs local time mismatch. In `_format_period` (line 21), \"today\" is computed as `datetime.now(timezone.utc).date()`. Since you're in PDT (UTC-7), after 5pm PDT, the UTC date rolls over to the next day. So at 5:50pm PDT (when the screenshot was taken), UTC \"today\" is already March 16, making March 15 sessions appear as \"Yesterday\".\n\nMeanwhile, session dates in `_sessions_by_day` use `.date()` on timestamps that preserve their local offset, so they stay on March 15.\n\nThe fix: use local time consistently for both \"today\" determination and date bucketing."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":657,"cache_read_input_tokens":31934,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":657},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ61kZLhggRHJYAepr4Kn","type":"assistant","uuid":"e65f130a-3862-40f2-9142-b957de343428","timestamp":"2026-03-16T03:02:12.812Z","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
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{"parentUuid":"e65f130a-3862-40f2-9142-b957de343428","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BY3AKc5BX4pTTLErFBeCsj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014HCXdNXGdRwYavqMef3heG","name":"Edit","input":{"replace_all":false,"file_path":"/Users/haldar/repos/gh/agent-kitchen/src/agent_kitchen/timeline.py","old_string":"    today = datetime.now(timezone.utc).date()\n    if d == today:\n        return \"Today\"\n    if d == today - timedelta(days=1):\n        return \"Yesterday\"","new_string":"    today = datetime.now().astimezone().date()\n    if d == today:\n        return \"Today\"\n    if d == today - timedelta(days=1):\n        return \"Yesterday\""},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":657,"cache_read_input_tokens":31934,"output_tokens":2258,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":657,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ61kZLhggRHJYAepr4Kn","type":"assistant","uuid":"e73ca738-b3d4-46d6-bf49-013a4eb39729","timestamp":"2026-03-16T03:02:14.385Z","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
{"parentUuid":"e73ca738-b3d4-46d6-bf49-013a4eb39729","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_014HCXdNXGdRwYavqMef3heG","toolUseID":"toolu_014HCXdNXGdRwYavqMef3heG","timestamp":"2026-03-16T03:02:14.411Z","uuid":"3c7a04a3-268c-49b8-bfdd-984473eb9968","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
{"parentUuid":"e73ca738-b3d4-46d6-bf49-013a4eb39729","isSidechain":false,"promptId":"37d63193-e631-420e-9a30-ce981731e602","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014HCXdNXGdRwYavqMef3heG","type":"tool_result","content":"The file /Users/haldar/repos/gh/agent-kitchen/src/agent_kitchen/timeline.py has been updated successfully."}]},"uuid":"41ff97aa-4f12-4b14-a7a6-91a2a62f96b6","timestamp":"2026-03-16T03:02:14.410Z","toolUseResult":{"filePath":"/Users/haldar/repos/gh/agent-kitchen/src/agent_kitchen/timeline.py","oldString":"    today = datetime.now(timezone.utc).date()\n    if d == today:\n        return \"Today\"\n    if d == today - timedelta(days=1):\n        return \"Yesterday\"","newString":"    today = datetime.now().astimezone().date()\n    if d == today:\n        return \"Today\"\n    if d == today - timedelta(days=1):\n        return \"Yesterday\"","originalFile":"# ABOUTME: Generates group-level timelines showing how work evolved over time.\n# ABOUTME: Buckets sessions by day, optionally merges phases via LLM.\n\nimport asyncio\nimport json\nimport logging\nfrom collections import defaultdict\nfrom datetime import date, datetime, timedelta, timezone\n\nfrom agent_kitchen.config import HAIKU_MODEL, SUMMARY_CONCURRENCY\nfrom agent_kitchen.models import NonRepoGroup, RepoGroup, Session, TimelinePhase\n\n# Union type for groups that have timelines\nTimelineGroup = RepoGroup | NonRepoGroup\n\nlogger = logging.getLogger(__name__)\n\n\ndef _format_period(d: date) -> str:\n    \"\"\"Format a single date as a human-readable period string.\"\"\"\n    today = datetime.now(timezone.utc).date()\n    if d == today:\n        return \"Today\"\n    if d == today - timedelta(days=1):\n        return \"Yesterday\"\n    return d.strftime(\"%b %-d\")\n\n\ndef _format_date_range(start: date, end: date) -> str:\n    \"\"\"Format a date range as a human-readable period string.\"\"\"\n    if start == end:\n        return _format_period(start)\n    today = datetime.now(timezone.utc).date()\n    yesterday = today - timedelta(days=1)\n    # Handle \"Today\" and \"Yesterday\" for single-day ranges\n    if end == today and start == yesterday:\n        return \"Yesterday-Today\"\n    if start.month == end.month:\n        return f\"{start.strftime('%b')} {start.day}-{end.day}\"\n    return f\"{start.strftime('%b %-d')}-{end.strftime('%b %-d')}\"\n\n\ndef _aggregate_status(sessions: list[Session]) -> str:\n    \"\"\"Determine the overall status for a group of sessions.\"\"\"\n    statuses = {s.status for s in sessions}\n    active = {\"in progress\", \"likely in progress\", \"waiting for input\"}\n    done = {\"done\", \"likely done\"}\n    if statuses <= done:\n        return \"done\"\n    if statuses & active:\n        has_done = bool(statuses & done)\n        return \"mixed\" if has_done else \"in progress\"\n    return \"mixed\"\n\n\ndef _sessions_by_day(sessions: list[Session]) -> list[tuple[date, list[Session]]]:\n    \"\"\"Bucket sessions by started_at date, newest first.\"\"\"\n    by_day: dict[date, list[Session]] = defaultdict(list)\n    for s in sessions:\n        ts = s.started_at if s.started_at.tzinfo else s.started_at.replace(tzinfo=timezone.utc)\n        day = ts.date()\n        by_day[day].append(s)\n    # Sort days newest first\n    sorted_days = sorted(by_day.keys(), reverse=True)\n    return [(day, by_day[day]) for day in sorted_days]\n\n\ndef fallback_timeline(sessions: list[Session]) -> list[TimelinePhase]:\n    \"\"\"Generate a timeline without LLM: one phase per day, description from first session.\"\"\"\n    if not sessions:\n        return []\n    days = _sessions_by_day(sessions)\n    phases = []\n    for day, day_sessions in days:\n        # Use the first session's summary (sessions are sorted by last_active desc within group)\n        day_sessions.sort(key=lambda s: s.last_active, reverse=True)\n        desc = day_sessions[0].summary or \"Work session\"\n        if len(desc) > 80:\n            desc = desc[:77] + \"...\"\n        phases.append(\n            TimelinePhase(\n                period=_format_period(day),\n                description=desc,\n                session_count=len(day_sessions),\n                status=_aggregate_status(day_sessions),\n            )\n        )\n    return phases\n\n\n# --- LLM-based timeline generation ---\n\nTIMELINE_PROMPT_TEMPLATE = \"\"\"\\\nAnalyze the history of work in this repository from coding agent sessions.\nIdentify 2-5 phases by merging consecutive days doing similar work.\n\nRepository: {repo_name}\nSessions by day (newest first):\n{formatted_sessions}\n\nRules:\n- Period: human-readable date range (\"Today\", \"Yesterday\", \"Mar 10-11\")\n- Description: 1 short factual sentence, max 80 chars\n- Phases ordered newest-first\n- Maximum 5 phases; merge aggressively if many days\n- Status: \"done\" if all work complete, \"in progress\" if active, \"mixed\" if both\\\n\"\"\"\n\nTIMELINE_SCHEMA = {\n    \"type\": \"object\",\n    \"properties\": {\n        \"phases\": {\n            \"type\": \"array\",\n            \"items\": {\n                \"type\": \"object\",\n                \"properties\": {\n                    \"period\": {\"type\": \"string\"},\n                    \"description\": {\"type\": \"string\"},\n                    \"status\": {\"type\": \"string\", \"enum\": [\"done\", \"in progress\", \"mixed\"]},\n                },\n                \"required\": [\"period\", \"description\", \"status\"],\n            },\n        },\n    },\n    \"required\": [\"phases\"],\n}\n\n\ndef _format_sessions_for_prompt(sessions: list[Session]) -> str:\n    \"\"\"Format sessions grouped by day for the LLM prompt.\"\"\"\n    days = _sessions_by_day(sessions)\n    lines = []\n    for day, day_sessions in days:\n        day_sessions.sort(key=lambda s: s.last_active, reverse=True)\n        lines.append(f\"{day.strftime('%b %-d')} ({len(day_sessions)} sessions):\")\n        for s in day_sessions:\n            summary = s.summary or \"Unknown\"\n            status = s.status or \"unknown\"\n            lines.append(f\"  - [{status}] {summary}\")\n    return \"\\n\".join(lines)\n\n\nasync def _call_timeline_llm(prompt: str) -> dict:\n    \"\"\"Call Claude Haiku for timeline generation.\"\"\"\n    import os\n\n    from claude_agent_sdk import ClaudeAgentOptions, ResultMessage, query\n\n    os.environ.pop(\"CLAUDECODE\", None)\n\n    result: dict = {}\n    async for msg in query(\n        prompt=prompt,\n        options=ClaudeAgentOptions(\n            model=HAIKU_MODEL,\n            max_turns=2,\n            output_format={\n                \"type\": \"json_schema\",\n                \"schema\": TIMELINE_SCHEMA,\n            },\n        ),\n    ):\n        if isinstance(msg, ResultMessage) and msg.structured_output:\n            result = msg.structured_output\n    return result\n\n\ndef _group_name(group: TimelineGroup) -> str:\n    \"\"\"Get a display name for a group.\"\"\"\n    if isinstance(group, RepoGroup):\n        return group.repo_name\n    return group.cwd.split(\"/\")[-1] or group.cwd\n\n\ndef _group_cache_key(group: TimelineGroup) -> str:\n    \"\"\"Get a cache key for a group's timeline.\"\"\"\n    if isinstance(group, RepoGroup):\n        return f\"timeline:{group.repo_root}\"\n    return f\"timeline:{group.cwd}\"\n\n\nasync def generate_group_timeline(group: TimelineGroup) -> list[TimelinePhase]:\n    \"\"\"Generate a timeline for a group using the LLM.\"\"\"\n    sessions = group.sessions\n    if not sessions:\n        return []\n\n    # Single-day groups don't need LLM\n    days = _sessions_by_day(sessions)\n    if len(days) <= 1:\n        return fallback_timeline(sessions)\n\n    formatted = _format_sessions_for_prompt(sessions)\n    prompt = TIMELINE_PROMPT_TEMPLATE.format(\n        repo_name=_group_name(group),\n        formatted_sessions=formatted,\n    )\n\n    try:\n        data = await _call_timeline_llm(prompt)\n    except Exception:\n        logger.warning(\"Timeline LLM call failed for %s\", group.repo_name, exc_info=True)\n        return fallback_timeline(sessions)\n\n    phases_data = data.get(\"phases\", [])\n    if not phases_data:\n        return fallback_timeline(sessions)\n\n    # Convert LLM output to TimelinePhase objects\n    valid_statuses = {\"done\", \"in progress\", \"mixed\"}\n    phases = []\n    for p in phases_data[:5]:\n        desc = str(p.get(\"description\", \"\"))\n        if len(desc) > 80:\n            desc = desc[:77] + \"...\"\n        status = str(p.get(\"status\", \"mixed\"))\n        if status not in valid_statuses:\n            status = \"mixed\"\n        # Estimate session_count from matching days (approximate)\n        phases.append(\n            TimelinePhase(\n                period=str(p.get(\"period\", \"\")),\n                description=desc,\n                session_count=0,  # LLM doesn't return this; set below\n                status=status,\n            )\n        )\n\n    # Distribute session counts: total sessions / phases (rough)\n    total = len(sessions)\n    if phases:\n        per_phase = total // len(phases)\n        remainder = total % len(phases)\n        for i, phase in enumerate(phases):\n            phase.session_count = per_phase + (1 if i < remainder else 0)\n\n    return phases\n\n\nasync def batch_generate_timelines(\n    groups: list[TimelineGroup],\n    cache,\n    concurrency: int = SUMMARY_CONCURRENCY,\n) -> None:\n    \"\"\"Generate timelines for all groups, using cache where possible.\n\n    Mutates each group's timeline field in place.\n    \"\"\"\n    if not groups:\n        return\n\n    semaphore = asyncio.Semaphore(concurrency)\n\n    async def _generate_one(group: TimelineGroup) -> None:\n        cache_key = _group_cache_key(group)\n        max_mtime = max(s.file_mtime for s in group.sessions) if group.sessions else 0.0\n\n        if not cache.needs_refresh(cache_key, max_mtime):\n            cached = cache.get(cache_key)\n            if cached and cached.get(\"status\") == \"timeline\":\n                try:\n                    phases_data = json.loads(cached[\"summary\"])\n                    group.timeline = [TimelinePhase(**p) for p in phases_data]\n                    return\n                except (json.JSONDecodeError, TypeError, KeyError):\n                    pass\n\n        async with semaphore:\n            group.timeline = await generate_group_timeline(group)\n\n        # Cache the result\n        phases_json = json.dumps(\n            [\n                {\n                    \"period\": p.period,\n                    \"description\": p.description,\n                    \"session_count\": p.session_count,\n                    \"status\": p.status,\n                }\n                for p in group.timeline\n            ]\n        )\n        cache.set(cache_key, phases_json, \"timeline\", max_mtime)\n\n    tasks = [_generate_one(group) for group in groups]\n    await asyncio.gather(*tasks)\n    cache.save()\n\n\ndef apply_cached_timelines(groups: list[TimelineGroup], cache) -> None:\n    \"\"\"Apply cached timelines to groups, or generate fallbacks.\"\"\"\n    for group in groups:\n        cache_key = _group_cache_key(group)\n        max_mtime = max(s.file_mtime for s in group.sessions) if group.sessions else 0.0\n\n        if not cache.needs_refresh(cache_key, max_mtime):\n            cached = cache.get(cache_key)\n            if cached and cached.get(\"status\") == \"timeline\":\n                try:\n                    phases_data = json.loads(cached[\"summary\"])\n                    group.timeline = [TimelinePhase(**p) for p in phases_data]\n                    continue\n                except (json.JSONDecodeError, TypeError, KeyError):\n                    pass\n\n        # No cache hit — use fallback\n        group.timeline = fallback_timeline(group.sessions)\n","structuredPatch":[{"oldStart":18,"oldLines":7,"newStart":18,"newLines":7,"lines":[" "," def _format_period(d: date) -> str:","     \"\"\"Format a single date as a human-readable period string.\"\"\"","-    today = datetime.now(timezone.utc).date()","+    today = datetime.now().astimezone().date()","     if d == today:","         return \"Today\"","     if d == today - timedelta(days=1):"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"e73ca738-b3d4-46d6-bf49-013a4eb39729","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
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{"parentUuid":"d3331458-58d5-45a2-87f4-5def75c0c5c5","isSidechain":false,"promptId":"37d63193-e631-420e-9a30-ce981731e602","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01W6Q3Cbut8qu3ddo4GGyiiW","type":"tool_result","content":"The file /Users/haldar/repos/gh/agent-kitchen/src/agent_kitchen/timeline.py has been updated successfully."}]},"uuid":"c89b4ea7-d113-45ae-95e5-71be80833d79","timestamp":"2026-03-16T03:02:17.846Z","toolUseResult":{"filePath":"/Users/haldar/repos/gh/agent-kitchen/src/agent_kitchen/timeline.py","oldString":"    today = datetime.now(timezone.utc).date()\n    yesterday = today - timedelta(days=1)","newString":"    today = datetime.now().astimezone().date()\n    yesterday = today - timedelta(days=1)","originalFile":"# ABOUTME: Generates group-level timelines showing how work evolved over time.\n# ABOUTME: Buckets sessions by day, optionally merges phases via LLM.\n\nimport asyncio\nimport json\nimport logging\nfrom collections import defaultdict\nfrom datetime import date, datetime, timedelta, timezone\n\nfrom agent_kitchen.config import HAIKU_MODEL, SUMMARY_CONCURRENCY\nfrom agent_kitchen.models import NonRepoGroup, RepoGroup, Session, TimelinePhase\n\n# Union type for groups that have timelines\nTimelineGroup = RepoGroup | NonRepoGroup\n\nlogger = logging.getLogger(__name__)\n\n\ndef _format_period(d: date) -> str:\n    \"\"\"Format a single date as a human-readable period string.\"\"\"\n    today = datetime.now().astimezone().date()\n    if d == today:\n        return \"Today\"\n    if d == today - timedelta(days=1):\n        return \"Yesterday\"\n    return d.strftime(\"%b %-d\")\n\n\ndef _format_date_range(start: date, end: date) -> str:\n    \"\"\"Format a date range as a human-readable period string.\"\"\"\n    if start == end:\n        return _format_period(start)\n    today = datetime.now(timezone.utc).date()\n    yesterday = today - timedelta(days=1)\n    # Handle \"Today\" and \"Yesterday\" for single-day ranges\n    if end == today and start == yesterday:\n        return \"Yesterday-Today\"\n    if start.month == end.month:\n        return f\"{start.strftime('%b')} {start.day}-{end.day}\"\n    return f\"{start.strftime('%b %-d')}-{end.strftime('%b %-d')}\"\n\n\ndef _aggregate_status(sessions: list[Session]) -> str:\n    \"\"\"Determine the overall status for a group of sessions.\"\"\"\n    statuses = {s.status for s in sessions}\n    active = {\"in progress\", \"likely in progress\", \"waiting for input\"}\n    done = {\"done\", \"likely done\"}\n    if statuses <= done:\n        return \"done\"\n    if statuses & active:\n        has_done = bool(statuses & done)\n        return \"mixed\" if has_done else \"in progress\"\n    return \"mixed\"\n\n\ndef _sessions_by_day(sessions: list[Session]) -> list[tuple[date, list[Session]]]:\n    \"\"\"Bucket sessions by started_at date, newest first.\"\"\"\n    by_day: dict[date, list[Session]] = defaultdict(list)\n    for s in sessions:\n        ts = s.started_at if s.started_at.tzinfo else s.started_at.replace(tzinfo=timezone.utc)\n        day = ts.date()\n        by_day[day].append(s)\n    # Sort days newest first\n    sorted_days = sorted(by_day.keys(), reverse=True)\n    return [(day, by_day[day]) for day in sorted_days]\n\n\ndef fallback_timeline(sessions: list[Session]) -> list[TimelinePhase]:\n    \"\"\"Generate a timeline without LLM: one phase per day, description from first session.\"\"\"\n    if not sessions:\n        return []\n    days = _sessions_by_day(sessions)\n    phases = []\n    for day, day_sessions in days:\n        # Use the first session's summary (sessions are sorted by last_active desc within group)\n        day_sessions.sort(key=lambda s: s.last_active, reverse=True)\n        desc = day_sessions[0].summary or \"Work session\"\n        if len(desc) > 80:\n            desc = desc[:77] + \"...\"\n        phases.append(\n            TimelinePhase(\n                period=_format_period(day),\n                description=desc,\n                session_count=len(day_sessions),\n                status=_aggregate_status(day_sessions),\n            )\n        )\n    return phases\n\n\n# --- LLM-based timeline generation ---\n\nTIMELINE_PROMPT_TEMPLATE = \"\"\"\\\nAnalyze the history of work in this repository from coding agent sessions.\nIdentify 2-5 phases by merging consecutive days doing similar work.\n\nRepository: {repo_name}\nSessions by day (newest first):\n{formatted_sessions}\n\nRules:\n- Period: human-readable date range (\"Today\", \"Yesterday\", \"Mar 10-11\")\n- Description: 1 short factual sentence, max 80 chars\n- Phases ordered newest-first\n- Maximum 5 phases; merge aggressively if many days\n- Status: \"done\" if all work complete, \"in progress\" if active, \"mixed\" if both\\\n\"\"\"\n\nTIMELINE_SCHEMA = {\n    \"type\": \"object\",\n    \"properties\": {\n        \"phases\": {\n            \"type\": \"array\",\n            \"items\": {\n                \"type\": \"object\",\n                \"properties\": {\n                    \"period\": {\"type\": \"string\"},\n                    \"description\": {\"type\": \"string\"},\n                    \"status\": {\"type\": \"string\", \"enum\": [\"done\", \"in progress\", \"mixed\"]},\n                },\n                \"required\": [\"period\", \"description\", \"status\"],\n            },\n        },\n    },\n    \"required\": [\"phases\"],\n}\n\n\ndef _format_sessions_for_prompt(sessions: list[Session]) -> str:\n    \"\"\"Format sessions grouped by day for the LLM prompt.\"\"\"\n    days = _sessions_by_day(sessions)\n    lines = []\n    for day, day_sessions in days:\n        day_sessions.sort(key=lambda s: s.last_active, reverse=True)\n        lines.append(f\"{day.strftime('%b %-d')} ({len(day_sessions)} sessions):\")\n        for s in day_sessions:\n            summary = s.summary or \"Unknown\"\n            status = s.status or \"unknown\"\n            lines.append(f\"  - [{status}] {summary}\")\n    return \"\\n\".join(lines)\n\n\nasync def _call_timeline_llm(prompt: str) -> dict:\n    \"\"\"Call Claude Haiku for timeline generation.\"\"\"\n    import os\n\n    from claude_agent_sdk import ClaudeAgentOptions, ResultMessage, query\n\n    os.environ.pop(\"CLAUDECODE\", None)\n\n    result: dict = {}\n    async for msg in query(\n        prompt=prompt,\n        options=ClaudeAgentOptions(\n            model=HAIKU_MODEL,\n            max_turns=2,\n            output_format={\n                \"type\": \"json_schema\",\n                \"schema\": TIMELINE_SCHEMA,\n            },\n        ),\n    ):\n        if isinstance(msg, ResultMessage) and msg.structured_output:\n            result = msg.structured_output\n    return result\n\n\ndef _group_name(group: TimelineGroup) -> str:\n    \"\"\"Get a display name for a group.\"\"\"\n    if isinstance(group, RepoGroup):\n        return group.repo_name\n    return group.cwd.split(\"/\")[-1] or group.cwd\n\n\ndef _group_cache_key(group: TimelineGroup) -> str:\n    \"\"\"Get a cache key for a group's timeline.\"\"\"\n    if isinstance(group, RepoGroup):\n        return f\"timeline:{group.repo_root}\"\n    return f\"timeline:{group.cwd}\"\n\n\nasync def generate_group_timeline(group: TimelineGroup) -> list[TimelinePhase]:\n    \"\"\"Generate a timeline for a group using the LLM.\"\"\"\n    sessions = group.sessions\n    if not sessions:\n        return []\n\n    # Single-day groups don't need LLM\n    days = _sessions_by_day(sessions)\n    if len(days) <= 1:\n        return fallback_timeline(sessions)\n\n    formatted = _format_sessions_for_prompt(sessions)\n    prompt = TIMELINE_PROMPT_TEMPLATE.format(\n        repo_name=_group_name(group),\n        formatted_sessions=formatted,\n    )\n\n    try:\n        data = await _call_timeline_llm(prompt)\n    except Exception:\n        logger.warning(\"Timeline LLM call failed for %s\", group.repo_name, exc_info=True)\n        return fallback_timeline(sessions)\n\n    phases_data = data.get(\"phases\", [])\n    if not phases_data:\n        return fallback_timeline(sessions)\n\n    # Convert LLM output to TimelinePhase objects\n    valid_statuses = {\"done\", \"in progress\", \"mixed\"}\n    phases = []\n    for p in phases_data[:5]:\n        desc = str(p.get(\"description\", \"\"))\n        if len(desc) > 80:\n            desc = desc[:77] + \"...\"\n        status = str(p.get(\"status\", \"mixed\"))\n        if status not in valid_statuses:\n            status = \"mixed\"\n        # Estimate session_count from matching days (approximate)\n        phases.append(\n            TimelinePhase(\n                period=str(p.get(\"period\", \"\")),\n                description=desc,\n                session_count=0,  # LLM doesn't return this; set below\n                status=status,\n            )\n        )\n\n    # Distribute session counts: total sessions / phases (rough)\n    total = len(sessions)\n    if phases:\n        per_phase = total // len(phases)\n        remainder = total % len(phases)\n        for i, phase in enumerate(phases):\n            phase.session_count = per_phase + (1 if i < remainder else 0)\n\n    return phases\n\n\nasync def batch_generate_timelines(\n    groups: list[TimelineGroup],\n    cache,\n    concurrency: int = SUMMARY_CONCURRENCY,\n) -> None:\n    \"\"\"Generate timelines for all groups, using cache where possible.\n\n    Mutates each group's timeline field in place.\n    \"\"\"\n    if not groups:\n        return\n\n    semaphore = asyncio.Semaphore(concurrency)\n\n    async def _generate_one(group: TimelineGroup) -> None:\n        cache_key = _group_cache_key(group)\n        max_mtime = max(s.file_mtime for s in group.sessions) if group.sessions else 0.0\n\n        if not cache.needs_refresh(cache_key, max_mtime):\n            cached = cache.get(cache_key)\n            if cached and cached.get(\"status\") == \"timeline\":\n                try:\n                    phases_data = json.loads(cached[\"summary\"])\n                    group.timeline = [TimelinePhase(**p) for p in phases_data]\n                    return\n                except (json.JSONDecodeError, TypeError, KeyError):\n                    pass\n\n        async with semaphore:\n            group.timeline = await generate_group_timeline(group)\n\n        # Cache the result\n        phases_json = json.dumps(\n            [\n                {\n                    \"period\": p.period,\n                    \"description\": p.description,\n                    \"session_count\": p.session_count,\n                    \"status\": p.status,\n                }\n                for p in group.timeline\n            ]\n        )\n        cache.set(cache_key, phases_json, \"timeline\", max_mtime)\n\n    tasks = [_generate_one(group) for group in groups]\n    await asyncio.gather(*tasks)\n    cache.save()\n\n\ndef apply_cached_timelines(groups: list[TimelineGroup], cache) -> None:\n    \"\"\"Apply cached timelines to groups, or generate fallbacks.\"\"\"\n    for group in groups:\n        cache_key = _group_cache_key(group)\n        max_mtime = max(s.file_mtime for s in group.sessions) if group.sessions else 0.0\n\n        if not cache.needs_refresh(cache_key, max_mtime):\n            cached = cache.get(cache_key)\n            if cached and cached.get(\"status\") == \"timeline\":\n                try:\n                    phases_data = json.loads(cached[\"summary\"])\n                    group.timeline = [TimelinePhase(**p) for p in phases_data]\n                    continue\n                except (json.JSONDecodeError, TypeError, KeyError):\n                    pass\n\n        # No cache hit — use fallback\n        group.timeline = fallback_timeline(group.sessions)\n","structuredPatch":[{"oldStart":30,"oldLines":7,"newStart":30,"newLines":7,"lines":["     \"\"\"Format a date range as a human-readable period string.\"\"\"","     if start == end:","         return _format_period(start)","-    today = datetime.now(timezone.utc).date()","+    today = datetime.now().astimezone().date()","     yesterday = today - timedelta(days=1)","     # Handle \"Today\" and \"Yesterday\" for single-day ranges","     if end == today and start == yesterday:"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d3331458-58d5-45a2-87f4-5def75c0c5c5","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
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{"parentUuid":"5fd3e3ea-e202-45ec-8634-5b6951e9aea5","isSidechain":false,"promptId":"37d63193-e631-420e-9a30-ce981731e602","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YNxQ6Z3n6RZJpK5m94XMw4","type":"tool_result","content":"The file /Users/haldar/repos/gh/agent-kitchen/src/agent_kitchen/timeline.py has been updated successfully."}]},"uuid":"59a5ea52-4a65-4920-80a4-3f6f5af4dd22","timestamp":"2026-03-16T03:02:21.666Z","toolUseResult":{"filePath":"/Users/haldar/repos/gh/agent-kitchen/src/agent_kitchen/timeline.py","oldString":"        ts = s.started_at if s.started_at.tzinfo else s.started_at.replace(tzinfo=timezone.utc)\n        day = ts.date()","newString":"        ts = s.started_at if s.started_at.tzinfo else s.started_at.replace(tzinfo=timezone.utc)\n        day = ts.astimezone().date()","originalFile":"# ABOUTME: Generates group-level timelines showing how work evolved over time.\n# ABOUTME: Buckets sessions by day, optionally merges phases via LLM.\n\nimport asyncio\nimport json\nimport logging\nfrom collections import defaultdict\nfrom datetime import date, datetime, timedelta, timezone\n\nfrom agent_kitchen.config import HAIKU_MODEL, SUMMARY_CONCURRENCY\nfrom agent_kitchen.models import NonRepoGroup, RepoGroup, Session, TimelinePhase\n\n# Union type for groups that have timelines\nTimelineGroup = RepoGroup | NonRepoGroup\n\nlogger = logging.getLogger(__name__)\n\n\ndef _format_period(d: date) -> str:\n    \"\"\"Format a single date as a human-readable period string.\"\"\"\n    today = datetime.now().astimezone().date()\n    if d == today:\n        return \"Today\"\n    if d == today - timedelta(days=1):\n        return \"Yesterday\"\n    return d.strftime(\"%b %-d\")\n\n\ndef _format_date_range(start: date, end: date) -> str:\n    \"\"\"Format a date range as a human-readable period string.\"\"\"\n    if start == end:\n        return _format_period(start)\n    today = datetime.now().astimezone().date()\n    yesterday = today - timedelta(days=1)\n    # Handle \"Today\" and \"Yesterday\" for single-day ranges\n    if end == today and start == yesterday:\n        return \"Yesterday-Today\"\n    if start.month == end.month:\n        return f\"{start.strftime('%b')} {start.day}-{end.day}\"\n    return f\"{start.strftime('%b %-d')}-{end.strftime('%b %-d')}\"\n\n\ndef _aggregate_status(sessions: list[Session]) -> str:\n    \"\"\"Determine the overall status for a group of sessions.\"\"\"\n    statuses = {s.status for s in sessions}\n    active = {\"in progress\", \"likely in progress\", \"waiting for input\"}\n    done = {\"done\", \"likely done\"}\n    if statuses <= done:\n        return \"done\"\n    if statuses & active:\n        has_done = bool(statuses & done)\n        return \"mixed\" if has_done else \"in progress\"\n    return \"mixed\"\n\n\ndef _sessions_by_day(sessions: list[Session]) -> list[tuple[date, list[Session]]]:\n    \"\"\"Bucket sessions by started_at date, newest first.\"\"\"\n    by_day: dict[date, list[Session]] = defaultdict(list)\n    for s in sessions:\n        ts = s.started_at if s.started_at.tzinfo else s.started_at.replace(tzinfo=timezone.utc)\n        day = ts.date()\n        by_day[day].append(s)\n    # Sort days newest first\n    sorted_days = sorted(by_day.keys(), reverse=True)\n    return [(day, by_day[day]) for day in sorted_days]\n\n\ndef fallback_timeline(sessions: list[Session]) -> list[TimelinePhase]:\n    \"\"\"Generate a timeline without LLM: one phase per day, description from first session.\"\"\"\n    if not sessions:\n        return []\n    days = _sessions_by_day(sessions)\n    phases = []\n    for day, day_sessions in days:\n        # Use the first session's summary (sessions are sorted by last_active desc within group)\n        day_sessions.sort(key=lambda s: s.last_active, reverse=True)\n        desc = day_sessions[0].summary or \"Work session\"\n        if len(desc) > 80:\n            desc = desc[:77] + \"...\"\n        phases.append(\n            TimelinePhase(\n                period=_format_period(day),\n                description=desc,\n                session_count=len(day_sessions),\n                status=_aggregate_status(day_sessions),\n            )\n        )\n    return phases\n\n\n# --- LLM-based timeline generation ---\n\nTIMELINE_PROMPT_TEMPLATE = \"\"\"\\\nAnalyze the history of work in this repository from coding agent sessions.\nIdentify 2-5 phases by merging consecutive days doing similar work.\n\nRepository: {repo_name}\nSessions by day (newest first):\n{formatted_sessions}\n\nRules:\n- Period: human-readable date range (\"Today\", \"Yesterday\", \"Mar 10-11\")\n- Description: 1 short factual sentence, max 80 chars\n- Phases ordered newest-first\n- Maximum 5 phases; merge aggressively if many days\n- Status: \"done\" if all work complete, \"in progress\" if active, \"mixed\" if both\\\n\"\"\"\n\nTIMELINE_SCHEMA = {\n    \"type\": \"object\",\n    \"properties\": {\n        \"phases\": {\n            \"type\": \"array\",\n            \"items\": {\n                \"type\": \"object\",\n                \"properties\": {\n                    \"period\": {\"type\": \"string\"},\n                    \"description\": {\"type\": \"string\"},\n                    \"status\": {\"type\": \"string\", \"enum\": [\"done\", \"in progress\", \"mixed\"]},\n                },\n                \"required\": [\"period\", \"description\", \"status\"],\n            },\n        },\n    },\n    \"required\": [\"phases\"],\n}\n\n\ndef _format_sessions_for_prompt(sessions: list[Session]) -> str:\n    \"\"\"Format sessions grouped by day for the LLM prompt.\"\"\"\n    days = _sessions_by_day(sessions)\n    lines = []\n    for day, day_sessions in days:\n        day_sessions.sort(key=lambda s: s.last_active, reverse=True)\n        lines.append(f\"{day.strftime('%b %-d')} ({len(day_sessions)} sessions):\")\n        for s in day_sessions:\n            summary = s.summary or \"Unknown\"\n            status = s.status or \"unknown\"\n            lines.append(f\"  - [{status}] {summary}\")\n    return \"\\n\".join(lines)\n\n\nasync def _call_timeline_llm(prompt: str) -> dict:\n    \"\"\"Call Claude Haiku for timeline generation.\"\"\"\n    import os\n\n    from claude_agent_sdk import ClaudeAgentOptions, ResultMessage, query\n\n    os.environ.pop(\"CLAUDECODE\", None)\n\n    result: dict = {}\n    async for msg in query(\n        prompt=prompt,\n        options=ClaudeAgentOptions(\n            model=HAIKU_MODEL,\n            max_turns=2,\n            output_format={\n                \"type\": \"json_schema\",\n                \"schema\": TIMELINE_SCHEMA,\n            },\n        ),\n    ):\n        if isinstance(msg, ResultMessage) and msg.structured_output:\n            result = msg.structured_output\n    return result\n\n\ndef _group_name(group: TimelineGroup) -> str:\n    \"\"\"Get a display name for a group.\"\"\"\n    if isinstance(group, RepoGroup):\n        return group.repo_name\n    return group.cwd.split(\"/\")[-1] or group.cwd\n\n\ndef _group_cache_key(group: TimelineGroup) -> str:\n    \"\"\"Get a cache key for a group's timeline.\"\"\"\n    if isinstance(group, RepoGroup):\n        return f\"timeline:{group.repo_root}\"\n    return f\"timeline:{group.cwd}\"\n\n\nasync def generate_group_timeline(group: TimelineGroup) -> list[TimelinePhase]:\n    \"\"\"Generate a timeline for a group using the LLM.\"\"\"\n    sessions = group.sessions\n    if not sessions:\n        return []\n\n    # Single-day groups don't need LLM\n    days = _sessions_by_day(sessions)\n    if len(days) <= 1:\n        return fallback_timeline(sessions)\n\n    formatted = _format_sessions_for_prompt(sessions)\n    prompt = TIMELINE_PROMPT_TEMPLATE.format(\n        repo_name=_group_name(group),\n        formatted_sessions=formatted,\n    )\n\n    try:\n        data = await _call_timeline_llm(prompt)\n    except Exception:\n        logger.warning(\"Timeline LLM call failed for %s\", group.repo_name, exc_info=True)\n        return fallback_timeline(sessions)\n\n    phases_data = data.get(\"phases\", [])\n    if not phases_data:\n        return fallback_timeline(sessions)\n\n    # Convert LLM output to TimelinePhase objects\n    valid_statuses = {\"done\", \"in progress\", \"mixed\"}\n    phases = []\n    for p in phases_data[:5]:\n        desc = str(p.get(\"description\", \"\"))\n        if len(desc) > 80:\n            desc = desc[:77] + \"...\"\n        status = str(p.get(\"status\", \"mixed\"))\n        if status not in valid_statuses:\n            status = \"mixed\"\n        # Estimate session_count from matching days (approximate)\n        phases.append(\n            TimelinePhase(\n                period=str(p.get(\"period\", \"\")),\n                description=desc,\n                session_count=0,  # LLM doesn't return this; set below\n                status=status,\n            )\n        )\n\n    # Distribute session counts: total sessions / phases (rough)\n    total = len(sessions)\n    if phases:\n        per_phase = total // len(phases)\n        remainder = total % len(phases)\n        for i, phase in enumerate(phases):\n            phase.session_count = per_phase + (1 if i < remainder else 0)\n\n    return phases\n\n\nasync def batch_generate_timelines(\n    groups: list[TimelineGroup],\n    cache,\n    concurrency: int = SUMMARY_CONCURRENCY,\n) -> None:\n    \"\"\"Generate timelines for all groups, using cache where possible.\n\n    Mutates each group's timeline field in place.\n    \"\"\"\n    if not groups:\n        return\n\n    semaphore = asyncio.Semaphore(concurrency)\n\n    async def _generate_one(group: TimelineGroup) -> None:\n        cache_key = _group_cache_key(group)\n        max_mtime = max(s.file_mtime for s in group.sessions) if group.sessions else 0.0\n\n        if not cache.needs_refresh(cache_key, max_mtime):\n            cached = cache.get(cache_key)\n            if cached and cached.get(\"status\") == \"timeline\":\n                try:\n                    phases_data = json.loads(cached[\"summary\"])\n                    group.timeline = [TimelinePhase(**p) for p in phases_data]\n                    return\n                except (json.JSONDecodeError, TypeError, KeyError):\n                    pass\n\n        async with semaphore:\n            group.timeline = await generate_group_timeline(group)\n\n        # Cache the result\n        phases_json = json.dumps(\n            [\n                {\n                    \"period\": p.period,\n                    \"description\": p.description,\n                    \"session_count\": p.session_count,\n                    \"status\": p.status,\n                }\n                for p in group.timeline\n            ]\n        )\n        cache.set(cache_key, phases_json, \"timeline\", max_mtime)\n\n    tasks = [_generate_one(group) for group in groups]\n    await asyncio.gather(*tasks)\n    cache.save()\n\n\ndef apply_cached_timelines(groups: list[TimelineGroup], cache) -> None:\n    \"\"\"Apply cached timelines to groups, or generate fallbacks.\"\"\"\n    for group in groups:\n        cache_key = _group_cache_key(group)\n        max_mtime = max(s.file_mtime for s in group.sessions) if group.sessions else 0.0\n\n        if not cache.needs_refresh(cache_key, max_mtime):\n            cached = cache.get(cache_key)\n            if cached and cached.get(\"status\") == \"timeline\":\n                try:\n                    phases_data = json.loads(cached[\"summary\"])\n                    group.timeline = [TimelinePhase(**p) for p in phases_data]\n                    continue\n                except (json.JSONDecodeError, TypeError, KeyError):\n                    pass\n\n        # No cache hit — use fallback\n        group.timeline = fallback_timeline(group.sessions)\n","structuredPatch":[{"oldStart":58,"oldLines":7,"newStart":58,"newLines":7,"lines":["     by_day: dict[date, list[Session]] = defaultdict(list)","     for s in sessions:","         ts = s.started_at if s.started_at.tzinfo else s.started_at.replace(tzinfo=timezone.utc)","-        day = ts.date()","+        day = ts.astimezone().date()","         by_day[day].append(s)","     # Sort days newest first","     sorted_days = sorted(by_day.keys(), reverse=True)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"5fd3e3ea-e202-45ec-8634-5b6951e9aea5","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
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{"parentUuid":"3ee2a61e-88e3-4d2c-90fe-0e83e5a5402b","isSidechain":false,"promptId":"db806d70-5887-4f3a-8f2d-7d99d3f91d33","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01368R8hdn2QJqzz4umaQQXX","type":"tool_result","content":"diff --git a/src/agent_kitchen/timeline.py b/src/agent_kitchen/timeline.py\nindex 5d21d15..0c05272 100644\n--- a/src/agent_kitchen/timeline.py\n+++ b/src/agent_kitchen/timeline.py\n@@ -18,7 +18,7 @@ logger = logging.getLogger(__name__)\n \n def _format_period(d: date) -> str:\n     \"\"\"Format a single date as a human-readable period string.\"\"\"\n-    today = datetime.now(timezone.utc).date()\n+    today = datetime.now().astimezone().date()\n     if d == today:\n         return \"Today\"\n     if d == today - timedelta(days=1):\n@@ -30,7 +30,7 @@ def _format_date_range(start: date, end: date) -> str:\n     \"\"\"Format a date range as a human-readable period string.\"\"\"\n     if start == end:\n         return _format_period(start)\n-    today = datetime.now(timezone.utc).date()\n+    today = datetime.now().astimezone().date()\n     yesterday = today - timedelta(days=1)\n     # Handle \"Today\" and \"Yesterday\" for single-day ranges\n     if end == today and start == yesterday:\n@@ -58,7 +58,7 @@ def _sessions_by_day(sessions: list[Session]) -> list[tuple[date, list[Session]]\n     by_day: dict[date, list[Session]] = defaultdict(list)\n     for s in sessions:\n         ts = s.started_at if s.started_at.tzinfo else s.started_at.replace(tzinfo=timezone.utc)\n-        day = ts.date()\n+        day = ts.astimezone().date()\n         by_day[day].append(s)\n     # Sort days newest first\n     sorted_days = sorted(by_day.keys(), reverse=True)","is_error":false}]},"uuid":"f34463e5-c0b6-4b6b-b607-ae92ed74906f","timestamp":"2026-03-16T03:04:36.967Z","toolUseResult":{"stdout":"diff --git a/src/agent_kitchen/timeline.py b/src/agent_kitchen/timeline.py\nindex 5d21d15..0c05272 100644\n--- a/src/agent_kitchen/timeline.py\n+++ b/src/agent_kitchen/timeline.py\n@@ -18,7 +18,7 @@ logger = logging.getLogger(__name__)\n \n def _format_period(d: date) -> str:\n     \"\"\"Format a single date as a human-readable period string.\"\"\"\n-    today = datetime.now(timezone.utc).date()\n+    today = datetime.now().astimezone().date()\n     if d == today:\n         return \"Today\"\n     if d == today - timedelta(days=1):\n@@ -30,7 +30,7 @@ def _format_date_range(start: date, end: date) -> str:\n     \"\"\"Format a date range as a human-readable period string.\"\"\"\n     if start == end:\n         return _format_period(start)\n-    today = datetime.now(timezone.utc).date()\n+    today = datetime.now().astimezone().date()\n     yesterday = today - timedelta(days=1)\n     # Handle \"Today\" and \"Yesterday\" for single-day ranges\n     if end == today and start == yesterday:\n@@ -58,7 +58,7 @@ def _sessions_by_day(sessions: list[Session]) -> list[tuple[date, list[Session]]\n     by_day: dict[date, list[Session]] = defaultdict(list)\n     for s in sessions:\n         ts = s.started_at if s.started_at.tzinfo else s.started_at.replace(tzinfo=timezone.utc)\n-        day = ts.date()\n+        day = ts.astimezone().date()\n         by_day[day].append(s)\n     # Sort days newest first\n     sorted_days = sorted(by_day.keys(), reverse=True)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"3ee2a61e-88e3-4d2c-90fe-0e83e5a5402b","userType":"external","cwd":"/Users/haldar/repos/gh/agent-kitchen","sessionId":"f7f76ea2-de5b-41e1-bd29-513bf05ef67c","version":"2.1.76","gitBranch":"main","slug":"distributed-juggling-kahn"}
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