----------------------
In the context of LlamaIndex and the provided extracts, the "content" within a system prompt refers to the textual information or instructions that are part of a
ChatMessage
object, which is used to construct prompts for interaction with language models. This content is designed to guide the language model in generating responses or performing tasks based on the given instructions or context.
For example, in the GPT Builder Demo extract, the
content
of a
ChatMessage
is used to define the role and the specific instructions or information that should be conveyed to the language model. Here's a snippet illustrating how the
content
is defined within a
ChatMessage
:
gen_sys_prompt_messages = [
ChatMessage(
role="system",
content="You are helping to build a system prompt for another bot.",
),
ChatMessage(role="user", content=GEN_SYS_PROMPT_STR),
]
In this example, the
content
for the first
ChatMessage
is a string that instructs the language model about its role in the interaction, specifically indicating that it is helping to build a system prompt for another bot. The second
ChatMessage
uses a variable (
GEN_SYS_PROMPT_STR
) as its content, which likely contains further instructions or context for generating a system prompt based on a given task.
The
content
is essentially the message or instruction part of a prompt that is directed towards the language model, guiding it on how to respond or what action to take. This is a crucial component of constructing prompts in LlamaIndex, as it directly influences the behavior and output of the language model.