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Facilitates secure loading of API keys for language models, automating key retrieval and enhancing workflow efficiency.
The TaraApiKeyLoader
node is designed to facilitate the secure and efficient loading of API keys for various language model providers. This node is essential for ensuring that your API keys are correctly retrieved and utilized, enabling seamless integration with different language models. By automating the process of loading API keys, it helps to streamline your workflow, reduce the risk of errors, and enhance the overall efficiency of your AI art projects. The primary function of this node is to read the API key from a specified file, ensuring that the correct key is used based on the selected model and whether the key is stored temporarily or permanently.
The model
parameter specifies the language model provider for which the API key is being loaded. It is a required parameter and must be selected from a predefined list of model names. This parameter ensures that the correct API key is retrieved based on the chosen provider. The available options are dynamically generated by the get_model_names
function, which uses the MODEL_DICT
to provide a list of valid model names. This parameter is crucial for identifying the correct key field in the configuration file.
The temporary
parameter is a boolean value that indicates whether the API key should be loaded from a temporary location. If set to True
, the node will look for the API key in a temporary directory (/tmp
). If set to False
, it will look for the key in the default directory where the node is located. The default value for this parameter is False
. This parameter is useful for scenarios where you need to use a temporary API key for testing or other short-term purposes.
The api_key
output parameter returns the loaded API key as a string. This key is essential for authenticating requests to the selected language model provider. The output ensures that the correct API key is available for subsequent nodes or processes that require it, enabling seamless integration and operation of your AI models.
temporary
parameter to load API keys from a temporary location when testing new models or configurations. This can help avoid overwriting or exposing your permanent API keys.<file_name>
temporary
parameter, verify that the file exists in the /tmp
directory.<key_field>
<file_path>
temporary
parameter, ensure the file is in the /tmp
directory.© Copyright 2024 RunComfy. All Rights Reserved.