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docs: clarify session_search auxiliary model docs #19296

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9 changes: 6 additions & 3 deletions tools/session_search_tool.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,15 +3,17 @@
Session Search Tool - Long-Term Conversation Recall

Searches past session transcripts in SQLite via FTS5, then summarizes the top
matching sessions using a cheap/fast model (same pattern as web_extract).
matching sessions using the configured auxiliary session_search model (same
pattern as web_extract). By default, auxiliary "auto" routing uses the main
chat provider/model unless the user overrides auxiliary.session_search.
Returns focused summaries of past conversations rather than raw transcripts,
keeping the main model's context window clean.

Flow:
1. FTS5 search finds matching messages ranked by relevance
2. Groups by session, takes the top N unique sessions (default 3)
3. Loads each session's conversation, truncates to ~100k chars centered on matches
4. Sends to Gemini Flash with a focused summarization prompt
4. Sends to the configured auxiliary model with a focused summarization prompt
5. Returns per-session summaries with metadata
"""

Expand Down Expand Up @@ -330,7 +332,8 @@ def session_search(
"""
Search past sessions and return focused summaries of matching conversations.

Uses FTS5 to find matches, then summarizes the top sessions with Gemini Flash.
Uses FTS5 to find matches, then summarizes the top sessions with the
configured auxiliary session_search model.
The current session is excluded from results since the agent already has that context.
"""
if db is None:
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