autogen.config_list_from_dotenv

config_list_from_dotenv

config_list_from_dotenv(
    dotenv_file_path: str | None = None,
    model_api_key_map: dict[str, Any] | None = None,
    filter_dict: dict[str, list[str | None] | set[str | None]] | None = None
) -> list[dict[str, str | set[str]]]

Load API configurations from a specified .env file or environment variables and construct a list of configurations.
This function will:
- Load API keys from a provided .env file or from existing environment variables.
- Create a configuration dictionary for each model using the API keys and additional configurations.
- Filter and return the configurations based on provided filters.
model_api_key_map will default to \{"gpt-4": "OPENAI_API_KEY", "gpt-3.5-turbo": "OPENAI_API_KEY"} if none

Parameters:

Name	Description
dotenv_file_path	The path to the .env file. Defaults to None. Type: str | None Default: None
model_api_key_map	A dictionary mapping models to their API key configurations. If a string is provided as configuration, it is considered as an environment variable name storing the API key. If a dict is provided, it should contain at least ‘api_key_env_var’ key, and optionally other API configurations like ‘base_url’, ‘api_type’, and ‘api_version’. Defaults to a basic map with ‘gpt-4’ and ‘gpt-3.5-turbo’ mapped to ‘OPENAI_API_KEY’. Type: dict[str, typing.Any] | None Default: None
filter_dict	A dictionary containing the models to be loaded. Containing a ‘model’ key mapped to a set of model names to be loaded. Defaults to None, which loads all found configurations. Type: dict[str, list[str | None] | set[str | None]] | None Default: None

Returns:

Type	Description
list[dict[str, str | set[str]]]	List[Dict[str, Union[str, Set[str]]]]: A list of configuration dictionaries for each model.