Practial module to build AI agents with context management and step-based execution.
Project description
AgentFlowPy
AgentFlowPy is a lightweight Python framework for building step-based workflows with flexible context management. It allows developers to create agents that execute sequences of steps, maintain context, pass arguments between steps, and support typed messages using Pydantic models.
Features
- Step-based workflow execution.
- Flexible context management with multiple contexts.
- Pass arguments between steps using
StepPass. - Typed messages with Pydantic support.
- Easy integration of custom logic in each step.
- Looping and conditional flow control (
AGENT_START,AGENT_END).
Installation
pip install agentflowpy
Examples
- Basic Usage : basic_flow.py Sample of basic use.
- Typed Message : typed_message.py Typed Message and Conditional flow.
- 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
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