Skip to main content

Agent

Core agent class for AI interactions

Agents

Multi-agent orchestration (PraisonAIAgents)

Task

Task definition and management

Process

Task execution flows

Memory

Memory management for stateful agents

Knowledge

Knowledge base and RAG support

Session

Session management

MCP

Model Context Protocol support

Workflows

Multi-step workflow execution

Guardrails

Input/output validation

Tools

Tool system and decorators

Hooks

Event hooks and callbacks

Planning

Planning mode support

Telemetry

Observability and monitoring

Display

Display and formatting utilities

Outputs

Data classes for task outputs

​
Module praisonaiagents

​
Sub-modules

  • praisonaiagents.agent - Agent module for defining individual AI agents
  • praisonaiagents.agents - Agents module for managing multiple agents
  • praisonaiagents.task - Task module for defining and managing tasks
  • praisonaiagents.process - Process module for handling task execution flows
  • praisonaiagents.main - Main module containing utility functions

​
Functions

​
clean_triple_backticks(text: str) → str

Clean triple backticks from text output.

​
display_error(message: str, console=None)

Display error messages in the console.

​
display_generating(content: str = ”, start_time: float | None = None)

Display generation status with optional timing information.

​
display_instruction(message: str, console=None)

Display instruction messages in the console.

​
display_interaction(message, response, markdown=True, generation_time=None, console=None)

Display interaction between user and agent.

​
display_self_reflection(message: str, console=None)

Display agent self-reflection messages.

​
display_tool_call(message: str, console=None)

Display tool call messages.