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Facilitates natural language interactions with AI model for generating conversational text in creative applications.
GLM4_CHAT is a powerful node designed to facilitate natural language interactions using the GLM-4 model. This node allows you to input a prompt and receive a coherent and contextually relevant response from the AI model. It is particularly useful for generating conversational text, making it an excellent tool for AI artists who want to create interactive and engaging content. The primary goal of GLM4_CHAT is to provide a seamless and intuitive way to leverage advanced language models for various creative applications, such as storytelling, dialogue generation, and more. By using this node, you can easily integrate sophisticated AI-driven conversations into your projects, enhancing the overall user experience and adding a layer of interactivity.
The prompt
parameter is a string input that serves as the initial message or query you want the AI model to respond to. This can be any text, such as a question, a statement, or a piece of dialogue. The prompt sets the context for the AI's response, so it's essential to craft it carefully to get the desired output. The default value is "你好,你是谁呀", and it supports multiline input, allowing for more complex and detailed prompts.
The model_name
parameter specifies the version of the GLM model to be used for generating the response. In this case, the available option is ["glm-4"]
. This parameter ensures that the appropriate model is selected for the task, leveraging the capabilities of the GLM-4 model to produce high-quality and contextually relevant responses.
The api_key
parameter is a string input required to authenticate your requests to the GLM-4 model. This key is essential for accessing the model's capabilities and must be obtained from the service provider. The default value is retrieved using the get_ZhipuAI_api_key()
function, and it does not support multiline input. Ensure that you have a valid API key to use this node effectively.
The Text
output parameter is a string that contains the AI-generated response based on the provided prompt. This output is the result of the model's processing and is designed to be contextually relevant and coherent. The generated text can be used in various applications, such as chatbots, interactive stories, or any other scenario where natural language interaction is required.
model_name
parameter to select the appropriate model version for your needs, ensuring optimal performance and output quality.model_name
parameter is set to a valid model, such as ["glm-4"]
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