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Clarify session_search auxiliary model docs

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Yanzhong Su
2026-05-03 17:26:52 +01:00
committed by Teknium
parent 8bdec80882
commit c653f5dc3f
1 changed files with 6 additions and 3 deletions
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9
tools/session_search_tool.py
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@@ -3,7 +3,9 @@
Session Search Tool - Long-Term Conversation Recall Session Search Tool - Long-Term Conversation Recall
Searches past session transcripts in SQLite via FTS5, then summarizes the top 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, Returns focused summaries of past conversations rather than raw transcripts,
keeping the main model's context window clean. keeping the main model's context window clean.
@@ -11,7 +13,7 @@ Flow:
1. FTS5 search finds matching messages ranked by relevance 1. FTS5 search finds matching messages ranked by relevance
2. Groups by session, takes the top N unique sessions (default 3) 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 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 5. Returns per-session summaries with metadata
""" """
@@ -330,7 +332,8 @@ def session_search(
""" """
Search past sessions and return focused summaries of matching conversations. 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. The current session is excluded from results since the agent already has that context.
""" """
if db is None: if db is None: