Bug: reasoning_effort is not properly ingested

[theahura]

PR #231 added the support for reasoning_effort as a possible kwarg for custom models. Unless I am mistaken, however, the LLMConfig dataclass (https://github.com/codelion/openevolve/blob/139cbc7c3270327775b0811715236fea069375ab/openevolve/config.py#L44) does not support actually adding reasoning_effort anywhere. If you include reasoning_effort in your config, openevolve fails with the following error:

  env/lib/python3.10/site-packages/openevolve/controller.py", line 87, in __init__
    self.config = load_config(config_path)
  env/lib/python3.10/site-packages/openevolve/config.py", line 456, in load_config
    config = Config.from_yaml(config_path)
 env/lib/python3.10/site-packages/openevolve/config.py", line 337, in from_yaml
    return cls.from_dict(config_dict)
  File "env/lib/python3.10/site-packages/openevolve/config.py", line 359, in from_dict
    config.llm = LLMConfig(**llm_dict)
TypeError: LLMConfig.__init__() got an unexpected keyword argument 'reasoning_effort'

I think this is as simple as adding reasoning_effort to the data class. However, I want to be sure that we are not doing something silly

here is part of the yaml we are using for our config

log_level: INFO
llm:
  models:
  - name: gpt-oss-120b
    weight: 1.0
  api_base: <endpoint>
  api_key: <key>
  temperature: 0.7
  max_tokens: 100000
  timeout: 5000
  retries: 1000000
  reasoning_effort: high