NousResearch/hermes-agent

Short CJK OR queries in session search returning no hits

Cluster 20494 · agent. Data as of

Nothing open on GitHub. Fix merged in #22847 on 10 May 2026. Check it covers your case.

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A fix was merged to main in PR #22847. Check it covers your case. No release data is tracked.
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The maintainers' tracker marks this resolved, deciding PR #22847. That is separate from the fix event.
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The members concern session_search returning zero results for OR-combined CJK queries of two characters or fewer, where the trigram approach is selected but cannot match. Two pull requests propose routing such queries to a LIKE fallback, one described as a salvage of #22649.

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Fixes on record

Merged to main. A stamp counts the issues a fix is linked to.

  • #22847 fix(session): route OR-combined short CJK tokens to LIKE fallback (salvage #22649)

    merged to main

    files: hermes_state.py, tests/test_hermes_state.py

    Show the diff
    • hermes_state.py
      @@ -1958,7 +1958,19 @@ def search_messages(
                   raw_query = query.strip('"').strip()
                   cjk_count = self._count_cjk(raw_query)
       
      -            if cjk_count >= 3:
      +            # Per-token CJK length check (#20494): trigram needs >=3 CJK chars
      +            # per token. A query like "广西 OR 桂林 OR 漓江" has cjk_count=6
      +            # (>=3) but each individual token is only 2 chars — trigram returns 0.
      +            # Route to LIKE when any non-operator CJK token is <3 CJK chars.
      +            _tokens_for_check = [
      +                t for t in raw_query.split()
      +                if t.upper() not in ("AND", "OR", "NOT") and self._contains_cjk(t)
      +            ]
      +            _any_short_cjk = any(
      +                self._count_cjk(t) < 3 for t in _tokens_for_check
      +            )
      +
      +            if cjk_count >= 3 and not _any_short_cjk:
                       # Trigram FTS5 path — quote each non-operator token to handle
                       # FTS5 special chars (%, *, etc.) while preserving boolean
                       # operators (AND, OR, NOT) for multi-term queries.
      @@ -2009,11 +2021,24 @@ def search_messages(
                           else:
                               matches = [dict(row) for row in tri_cursor.fetchall()]
                   else:
      -                # Short CJK query (1-2 chars) — trigram needs ≥3 CJK chars.
      -                # Fall back to LIKE substring search.
      -                escaped = raw_query.replace("\\", "\\\\").replace("%", "\\%").replace("_", "\\_")
      -                like_where = ["(m.content LIKE ? ESCAPE '\\' OR m.tool_name LIKE ? ESCAPE '\\' OR m.tool_calls LIKE ? ESCAPE '\\')"]
      -                like_params: list = [f"%{escaped}%", f"%{escaped}%", f"%{escaped}%"]
      +                # Short / mixed CJK query: trigram cannot match tokens with
      +                # <3 CJK chars. Fall back to LIKE substring search.
      +                # For multi-token OR queries (e.g. "广西 OR 桂林 OR 漓江"),
      +                # build one LIKE condition per non-operator token so each term
      +                # is matched independently (#20494).
      +                non_op_tokens = [
      +                    t for t in raw_query.split()
      +                    if t.upper() not in ("AND", "OR", "NOT")
      +                ] or [raw_query]
      +                token_clauses = []
      +                like_params: list = []
      +                for tok in non_op_tokens:
      +                    esc = tok.replace("\\", "\\\\").replace("%", "\\%").replace("_", "\\_")
      +                    token_clauses.append(
      +                        "(m.content LIKE ? ESCAPE '\\' OR m.tool_name LIKE ? ESCAPE '\\' OR m.tool_calls LIKE ? ESCAPE '\\')"
      +                    )
      +                    like_params += [f"%{esc}%", f"%{esc}%", f"%{esc}%"]
      +                like_where = [f"({' OR '.join(token_clauses)})"]
                       if source_filter is not None:
                           like_where.append(f"s.source IN ({','.join('?' for _ in source_filter)})")
                           like_params.extend(source_filter)
      @@ -2037,8 +2062,8 @@ def search_messages(
                           LIMIT ? OFFSET ?
                       """
                       like_params.extend([limit, offset])
      -                # instr() parameter goes first in the bound list
      -                like_params = [raw_query] + like_params
      +                # instr() for snippet uses first search token
      +                like_params = [non_op_tokens[0]] + like_params
                       with self._lock:
                           like_cursor = self._conn.execute(like_sql, like_params)
                           matches = [dict(row) for row in like_cursor.fetchall()]
    • tests/test_hermes_state.py
      @@ -957,6 +957,39 @@ def test_cjk_trigram_preserves_boolean_operators(self, db):
               session_ids = {r["session_id"] for r in results}
               assert session_ids == {"s1", "s2"}
       
      +    def test_cjk_or_combined_short_tokens_returns_results(self, db):
      +        """Regression test for #20494.
      +
      +        OR-combined 2-char CJK tokens (e.g. "广西 OR 桂林 OR 漓江 OR 旅游")
      +        previously returned 0 results because _count_cjk of the whole query
      +        was >=3 (8 chars here), selecting the trigram path, but each individual
      +        token is only 2 CJK chars and trigram requires >=3 chars per token.
      +        The per-token check must route such queries to the LIKE fallback.
      +        """
      +        db.create_session(session_id="s1", source="cli")
      +        db.create_session(session_id="s2", source="telegram")
      +        db.create_session(session_id="s3", source="cli")
      +        db.append_message("s1", role="user", content="广西是个好地方,去过桂林")
      +        db.append_message("s2", role="user", content="漓江风景很美,值得旅游")
      +        db.append_message("s3", role="user", content="unrelated English content")
      +
      +        results = db.search_messages("广西 OR 桂林 OR 漓江 OR 旅游")
      +        session_ids = {r["session_id"] for r in results}
      +        assert "s1" in session_ids, "广西/桂林 terms not matched"
      +        assert "s2" in session_ids, "漓江/旅游 terms not matched"
      +        assert "s3" not in session_ids, "unrelated message must not match"
      +
      +    def test_cjk_short_token_or_query_preserves_filters(self, db):
      +        """Source filter applies correctly in the short-token LIKE path (#20494)."""
      +        db.create_session(session_id="s1", source="cli")
      +        db.create_session(session_id="s2", source="telegram")
      +        db.append_message("s1", role="user", content="广西旅游攻略cli")
      +        db.append_message("s2", role="user", content="广西旅游攻略telegram")
      +
      +        results = db.search_messages("广西 OR 旅游", source_filter=["telegram"])
      +        assert len(results) == 1
      +        assert results[0]["source"] == "telegram"
      +
       
       # =========================================================================
       # Session search and listing

1 PR closed without merging

From the close comments: done elsewhere 1

  • #20499 fix(session-search): route short CJK OR queries to LIKE · done elsewhere → 058c508, #20494
Closed issues · 1
  • Closed#20494session_search returns 0 hits for OR-combined ≤2-char CJK queries (trigram picked but can't match)
How this cluster was grouped
  • Link evidence (structural links throughout): every member is connected by structural evidence: shared changed files, or a closing/superseded reference.
  • Pairwise link density 0.67: the share of item pairs that carry a link, counting a structural link in full and a relevance-only link at 0.36. 1.00 means every pair is linked.

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Subsystem
agent
Merged PRs
#22847
Closed issues
1
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1 PR closed without merging
Fix link checked
10 May 2026

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