Aflow 运行报错

[qjs2000]

运行Aflow 命令，只运行完成round1的执行。然后就都报错，是否不支持qwen 和 deepseek模型来实现？

命令：

python -m examples.aflow.optimize --dataset MATH --opt_model_name deepseek-v3 --exec_model_name qwen2.5
--if_first_optimize=false

模型配置：

models:
"qwen2.5":
api_type: "dashscope"
model: "qwen2.5-72b-instruct"
base_url: "https://dashscope.aliyuncs.com/compatible-mode/v1"
api_key: "sk-xxxx"
temperature: 0.5
"deepseek-v3":
api_type: "dashscope"
model: "deepseek-v3"
base_url: "https://dashscope.aliyuncs.com/compatible-mode/v1"
api_key: "sk-xxxx"
temperature: 0.5

报错信息：

Bug description

2025-02-20 16:25:18.965 | INFO | metagpt.ext.aflow.scripts.optimizer:optimize:93 - Error occurred: Unable to serialize unknown type: <class 'numpy.int64'>. Retrying... (Attempt 1/1)
2025-02-20 16:25:18.968 | INFO | metagpt.ext.aflow.scripts.optimizer:optimize:95 - Max retries reached. Moving to next round.
2025-02-20 16:25:23.971 | INFO | metagpt.ext.aflow.scripts.optimizer:optimize:106 - Score for round 2: None
Traceback (most recent call last):
File "", line 198, in run_module_as_main
File "", line 88, in run_code
File "C:\work\spaces\MetaGPT\examples\aflow\optimize.py", line 133, in
optimizer.optimize("Graph")
File "C:\work\spaces\MetaGPT\metagpt\ext\aflow\scripts\optimizer.py", line 108, in optimize
converged, convergence_round, final_round = self.convergence_utils.check_convergence(top_k=3)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\work\spaces\MetaGPT\metagpt\ext\aflow\scripts\optimizer_utils\convergence_utils.py", line 74, in check_convergence
self.avg_scores, self.stds = self.calculate_avg_and_std()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\work\spaces\MetaGPT\metagpt\ext\aflow\scripts\optimizer_utils\convergence_utils.py", line 58, in calculate_avg_and_std
self.rounds = self.process_rounds()
^^^^^^^^^^^^^^^^^^^^^
File "C:\work\spaces\MetaGPT\metagpt\ext\aflow\scripts\optimizer_utils\convergence_utils.py", line 44, in process_rounds
self.data = self.load_data(root_path=self.root_path)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\work\spaces\MetaGPT\metagpt\ext\aflow\scripts\optimizer_utils\convergence_utils.py", line 38, in load_data
return json.load(file)
^^^^^^^^^^^^^^^
File "C:\Users\ThinkPad.conda\envs\metagpt\Lib\json_init.py", line 293, in load
return loads(fp.read(),
^^^^^^^^^^^^^^^^
File "C:\Users\ThinkPad.conda\envs\metagpt\Lib\json_init.py", line 346, in loads
return _default_decoder.decode(s)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\ThinkPad.conda\envs\metagpt\Lib\json\decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\ThinkPad.conda\envs\metagpt\Lib\json\decoder.py", line 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 6 column 23 (char 112)