agentflowpy 1.0.0

Practial module to build AI agents with context management and step-based execution.

AgentFlowPy

AgentFlowPy is a lightweight Python framework for building workflows with flexible & extensible context management. It allows developers to create agents that execute sequences of steps, maintain context, implement custom contexts, pass arguments between steps, and support typed messages.

Features

• Step-based workflow execution.
• Flexible context management with multiple contexts.
• Pass arguments between steps using StepLead.
• Typed messages with simple types, Pydantic, dtaclasses and raw class support.
• Easy integration of custom logic in each step.
• Looping and conditional flow control (AGENT_START, AGENT_END, StepLead).

Installation

pip install agentflowpy

Examples

• Basic Usage : basic_flow.py Sample of basic use.
• Typed Message : typed_message.py Typed Message and Conditional flow.
• Custom Context Implementation: custom_context.py Create/Manage custom context types
• Pass Arguments : pass_args.py Passing additional arguments to next step.
• Context Switch In Flow : mid_switch.py Switch context while in flow to effect next steps.
• Serialize/Restore Contexts: save_load_state.py Serialize and Restore context_manager state