LLM Messages (maticlib.messages)

Unified message containers that ensure consistent data formatting across all supported LLM providers.

Core Message Types

Class	Role Alias	Purpose
SystemMessage	system, developer	High-level instructions that define the model's behavior.
HumanMessage	user, human	Direct input from the end-user.
AIMessage	assistant, model, ai	Responses generated by the LLM or simulated history.

Code Example

from maticlib.messages import HumanMessage, AIMessage, SystemMessage

# Creating a conversation history
history = [
    SystemMessage(content="You are a helpful coding assistant."),
    HumanMessage(content="How do I use MaticGraph?"),
    AIMessage(content="You can initialize it via `MaticGraph()`.")
]

Parameters

• content (str): The text payload of the message.
• message_type (MessageType): An internal enum defining the sender role.