Forward instruction schemas to llm-connect

tests/rules/test_executor.py

@@ -275,6 +275,46 @@ def test_execute_instruction_forwards_llm_connect_run_config():
     ]
 
 
+def test_execute_instruction_forwards_output_schema_to_llm_connect(tmp_path, monkeypatch):
+    schema_dir = tmp_path / "schemas"
+    schema_dir.mkdir()
+    schema_path = schema_dir / "daily-triage-report.json"
+    schema = {
+        "type": "object",
+        "required": ["summary", "recommendations"],
+        "properties": {
+            "summary": {"type": "string"},
+            "recommendations": {"type": "array", "items": {"type": "object"}},
+        },
+    }
+    schema_path.write_text(json.dumps(schema), encoding="utf-8")
+    monkeypatch.chdir(tmp_path)
+
+    llm = _CountingLLM([
+        json.dumps({"summary": "Review open work.", "recommendations": []})
+    ])
+    instr = _instr(
+        id="daily-triage-report",
+        prompt="Report.",
+        trusted_fields=[],
+        output_schema="schemas/daily-triage-report.json",
+        model_params={"reasoning_effort": "medium"},
+    )
+
+    result = execute_instruction_with_audit(instr, _Event(), {}, llm)
+
+    assert result.output_validated is True
+    assert llm.calls == [
+        {
+            "model_name": "claude-sonnet-4-6",
+            "model_params": {
+                "reasoning_effort": "medium",
+                "json_schema": schema,
+            },
+        }
+    ]
+
+
 def test_execute_instruction_with_audit_accepts_report_payload():
     report_data = {
         "summary": "State Hub has loose ends.",