Guess

`api_key` is required

Environment对象类似于游戏副本的概念，不同对象就是不同的游戏副本，不同游戏副本内有自己独立的世界法则和人物。 所以Environment对象有生命周期，而且这个生命周期应该是由外部用户决定的。 比如当你想穿越到某个世界，那你创建一个这个世界的Environment对象就可以进入到这个副本里。当你不想再这副本停留，那么你可以销毁这个Environment对象。 MetaGPT框架中，Environment对象只负责副本内各个角色的信息交换，各个角色对象有什么信息是角色对象自己的事，所以持久化Environment对象并不解决任何问题。 要持久化，那建议持久化角色的memory和外部存储的数据。 相应的，销毁Environment对象也不会获得什么结果。因为在Environment对象中，只有角色对象才会有输入输出，而这些输入输出都是实时交互的。

Well, work on incremental development is still ongoing, and we are now more focused on making breakthroughs in this area than ever before. Currently, our main challenge is the lack...

These are the responses from the large model： ```text Understood! I will follow the instructions in the nodes and generate the output in the format example. Please provide me with...

This issue is similar to #987, caused by LLM not returning in the required format. Metagpt expects an llm response as `parse json from content inside [CONTENT][/CONTENT]` You can locate...

There is no configuration example for proxy in `config2.yaml.example`. The correct `config2.yaml` configuration example is as follows: ```yaml llm: api_type: "openai" # or azure / ollama etc. base_url: "YOUR_BASE_URL" api_key:...

fixbug: https://github.com/geekan/MetaGPT/pull/971/files

My fault... Key typo. Try out v0.7.7

`params`参数是个dict，可以这么配的： ```python class SerpAPIWrapper(BaseModel): model_config = ConfigDict(arbitrary_types_allowed=True) search_engine: Any = None #: :meta private: params: dict = Field( default_factory=lambda: { "engine": "google", "google_domain": "google.com", "gl": "us", "hl": "en", } )...

Can you provide the complete logs? This might depend on the Python version.