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Facilitates message creation and management for large language models within ArtVenture, ensuring correct formatting and API compliance.
The AV_LLMMessage node is designed to facilitate the creation and management of messages for large language models (LLMs) within the ArtVenture framework. This node allows you to construct messages with specific roles, such as system, user, or assistant, and include text and optional images. It ensures that messages are formatted correctly and adhere to the constraints required by different LLM APIs. By using this node, you can streamline the process of preparing inputs for LLM interactions, making it easier to integrate complex conversational AI capabilities into your projects.
The role
parameter specifies the role of the message within the conversation. It can be one of three options: system
, user
, or assistant
. The system
role is used for setting up the context or instructions for the conversation, the user
role represents the input from the user, and the assistant
role is for the responses generated by the AI assistant. This parameter is crucial for defining the structure and flow of the conversation.
The text
parameter contains the actual message content in the form of a string. This can be a multiline input, allowing for detailed and extensive messages. The text is the primary content that will be processed by the LLM, making it a critical component of the message.
The image
parameter allows you to include an optional image in the message. This image should be in a format that can be converted to a base64 encoded string. Including an image can enhance the message by providing visual context or additional information that complements the text.
The messages
parameter is a list of existing messages that the new message will be appended to. This allows for the creation of a conversation history, which can be useful for maintaining context in ongoing interactions with the LLM.
The messages
output parameter is a list of messages that includes the newly created message along with any existing messages provided in the input. This list is formatted and ready to be used as input for further processing by LLM APIs. It ensures that the conversation history is maintained and that all messages are correctly structured.
role
parameter is correctly set to define the context of the message within the conversation.text
parameter to provide clear and concise information or queries to the LLM.messages
parameter to maintain a coherent conversation history, which can improve the quality of responses from the LLM.system
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