Resolve session IDs by exact match or unique prefix for sessions delete/export/rename so IDs copied from Preview Last Active Src ID
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5h ago cron cron_job-1_20260314_ work even when the table view truncates them. Add SessionDB prefix-resolution coverage and a CLI regression test for deleting by listed prefix.
Add regression coverage for backfilling NULL gateway session models in SQLite, preserving existing models, and forwarding the resolved agent model through SessionStore updates.
Authored by 0xbyt4. Fixes #N/A (no linked issue).
- Sanitize user input before FTS5 MATCH to prevent OperationalError on
special characters (C++, unbalanced quotes, dangling operators, etc.)
- Close SessionDB connection in mirror._append_to_sqlite() via finally block
- Added tests for both fixes
- Empty string titles normalized to None (prevents uncaught IntegrityError
when two sessions both get empty-string titles via the unique index)
- Escape SQL LIKE wildcards (%, _) in resolve_session_by_title and
get_next_title_in_lineage to prevent false matches on titles like
'test_project' matching 'testXproject #2'
- Optimize list_sessions_rich from N+2 queries to a single query with
correlated subqueries (preview + last_active computed in SQL)
- Add /title slash command to gateway (Telegram, Discord, Slack, WhatsApp)
with set and show modes, uniqueness conflict handling
- Add /title to gateway /help text and _known_commands
- 12 new tests: empty string normalization, multi-empty-title safety,
SQL wildcard edge cases, gateway /title set/show/conflict/cross-platform
Two bugs fixed:
1. search_messages() crashes with OperationalError when user queries
contain FTS5 special characters (+, ", (, {, dangling AND/OR, etc).
Added _sanitize_fts5_query() to strip dangerous operators and a
fallback try-except for edge cases.
2. _append_to_sqlite() in mirror.py creates a new SessionDB per call
but never closes it, leaking SQLite connections. Added finally block
to ensure db.close() is always called.
tool_call_count was inaccurate in two ways:
1. Under-counting: an assistant message with N parallel tool calls
(e.g. "kill the light and shut off the fan" = 2 ha_call_service)
only incremented tool_call_count by 1 instead of N.
2. Over-counting: tool response messages (role=tool) also incremented
tool_call_count, double-counting every tool interaction.
Combined: 2 parallel tool calls produced tool_call_count=3 (1 from
assistant + 2 from tool responses) instead of the correct value of 2.
Fix: only count from assistant messages with tool_calls, incrementing
by len(tool_calls) to handle parallel calls correctly. Tool response
messages no longer affect tool_call_count.
This impacts /insights and /usage accuracy for sessions with tool use.
