pachinkoagentic 0.0.3

agentic toolkit built on MCP that provides description and status of work

PachinkoAgentic is an agentic workflow package.

Usage:

1.) Build a class derived from pachinkoagentic.AIWrapper. This exposes get_response and get_streaming_response methods and handle interactions with an SLM for generating python code. (see https://github.com/drwilliamroney/PachinkoTestClient/blob/main/localollama.py)

2.) Instantiate an instance of pachinkoagentic.Library and use .add(fastmcp.Client()) for each MCP server you want to include.

3.) Create a pachinkoagent.Workflow object passing in a link to an LM for generating code, and another for LLM Samples (per MCP definition, calls from agentic workflow to an LLM for an answer).

4.) There are 2 async generator calls:

  a.) workflow.generate(question)

  b.) workflow.process()

Workflow generate calls the agentic_code_generator asking it to construct both a Python function and a SVG flowchart which return on the generator. See pachinkoagentic.WorkflowEventType.

Workflow process executes the returned python function wrapping any calls to the MCP services.