diff --git a/scheduler/reporter.py b/scheduler/reporter.py
index 607721c..8957f0a 100644
--- a/scheduler/reporter.py
+++ b/scheduler/reporter.py
@@ -556,11 +556,10 @@ def _llm_summarize(client, config: LLMConfig, lines: list[str], day_str: str) ->
 
     config 为 llm.client.LLMConfig(daily_report 场景),提供 model / temperature。
     """
-    model = config.model
     chunks = _split_lines_into_chunks(lines)
 
     if len(chunks) == 1:
-        return _llm_call(client, model, _build_prompt(chunks[0], day_str))
+        return _llm_call(client, config, _build_prompt(chunks[0], day_str))
 
     # 多块：每块独立总结
     partials: list[str] = []
@@ -570,7 +569,7 @@ def _llm_summarize(client, config: LLMConfig, lines: list[str], day_str: str) ->
 {chr(10).join(chunk)}
 
 直接输出要点列表："""
-        result = _llm_call(client, model, prompt, max_tokens=800)
+        result = _llm_call(client, config, prompt, max_tokens=800)
         if result:
             partials.append(result)
         logger.info("AI 摘要: 分块 {}/{} 完成 ({} 字)", i, len(chunks), len(result))
@@ -596,7 +595,7 @@ def _llm_summarize(client, config: LLMConfig, lines: list[str], day_str: str) ->
 6. 总字数 500 字以内
 
 直接输出要点列表："""
-    return _llm_call(client, model, merge_prompt, max_tokens=1500)
+    return _llm_call(client, config, merge_prompt, max_tokens=1500)
 
 
 def _build_prompt(lines: list[str], day_str: str) -> str:
diff --git a/tests/test_report_builder.py b/tests/test_report_builder.py
index 3aa844f..528f2a5 100644
--- a/tests/test_report_builder.py
+++ b/tests/test_report_builder.py
@@ -148,6 +148,28 @@ class TestLlmCallRetry:
             rep._llm_call(client, self._cfg(), "p")
         assert n["count"] == 2  # 重试 2 次后放弃
 
+    def test_llm_summarize_single_chunk_passes_config(self) -> None:
+        """_llm_summarize → _llm_call 全链路:必须传 LLMConfig 而非 model 字符串。
+
+        回归保护:生产日报曾因 _llm_call 收到 str 报
+        'str' object has no attribute 'model'。
+        """
+        from scheduler.reporter import _llm_summarize
+        client, n = self._fake_client(0)
+        out = _llm_summarize(client, self._cfg(), ["- 新闻A", "- 新闻B"], "20260812")
+        assert out == "今日要点摘要"
+        assert n["count"] == 1
+
+    def test_llm_summarize_multi_chunk_passes_config(self) -> None:
+        """多分块场景:每块 + 合并各调用一次 _llm_call,均传 config。"""
+        from scheduler.reporter import _llm_summarize
+        client, n = self._fake_client(0)
+        # 两条长行保证触发分块
+        lines = ["- " + "长新闻内容" * 300, "- " + "长新闻内容" * 300]
+        out = _llm_summarize(client, self._cfg(), lines, "20260812")
+        assert out == "今日要点摘要"
+        assert n["count"] == 3  # 2 块 + 1 次合并
+
 
 class TestCollectXwlb:
     """_collect_xwlb 取数逻辑：应查询日报前一日(已播出的联播)，并跳过内容提要。"""