Persist active run event history

2026-05-07 17:40:46 +08:00
parent 847b74ffb8
commit d57570e527
5 changed files with 316 additions and 24 deletions
@@ -285,6 +285,52 @@ class AgentRuntimeTests(unittest.TestCase):
        self.assertGreaterEqual(len(result.transcript), 5)
        self.assertGreaterEqual(len(result.file_history), 0)

+    def test_agent_persists_max_turns_explanation_after_tool_result(self) -> None:
+        responses = [
+            {
+                'choices': [
+                    {
+                        'message': {
+                            'role': 'assistant',
+                            'content': '我先读取文件。',
+                            'tool_calls': [
+                                {
+                                    'id': 'call_1',
+                                    'type': 'function',
+                                    'function': {
+                                        'name': 'read_file',
+                                        'arguments': '{"path": "hello.txt"}',
+                                    },
+                                }
+                            ],
+                        },
+                        'finish_reason': 'tool_calls',
+                    }
+                ]
+            }
+        ]
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            workspace = Path(tmp_dir)
+            (workspace / 'hello.txt').write_text('hello world\n', encoding='utf-8')
+            with patch(
+                'src.openai_compat.request.urlopen',
+                side_effect=make_urlopen_side_effect(responses),
+            ):
+                agent = LocalCodingAgent(
+                    model_config=ModelConfig(
+                        model='Qwen/Qwen3-Coder-30B-A3B-Instruct',
+                        base_url='http://127.0.0.1:8000/v1',
+                    ),
+                    runtime_config=AgentRuntimeConfig(cwd=workspace, max_turns=1),
+                )
+                result = agent.run('Inspect hello.txt')
+
+        self.assertEqual(result.stop_reason, 'max_turns')
+        self.assertIn('最大步骤上限', result.final_output)
+        self.assertEqual(result.transcript[-1]['role'], 'assistant')
+        self.assertEqual(result.transcript[-1]['stop_reason'], 'max_turns')
+        self.assertIn('最大步骤上限', result.transcript[-1]['content'])
+
    def test_agent_stops_after_data_agent_goal_requires_review(self) -> None:
        responses = [
            {