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.
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Release files for pachinkoagentic 0.0.4
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Total release size: 28.9 kB
Release files / pachinkoagentic-0.0.4.tar.gz
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