Framework Integration

skrun does not replace LangChain, LangGraph, PydanticAI, OpenAI Agents, or any other main agent framework. It gives those frameworks a stable way to call local executable skills.

Minimal Wrapper

import skrun


def regex_finder_tool(arguments: dict) -> dict:
    return skrun.skill("regex-finder").call(arguments)

The wrapper can be registered as a framework-specific tool function.

LangChain Shape

from langchain_core.tools import tool
import skrun


@tool
def regex_finder(pattern: str, text: str) -> dict:
    """Run regex matching through a local skrun skill."""
    return skrun.skill("regex-finder").call({
        "action": "match",
        "input": {
            "pattern": pattern,
            "text": text,
        },
    })

LangGraph Shape

Use the same wrapper function as a node or as a tool bound to the model. skrun only owns executable skill invocation; LangGraph still owns graph state and control flow.

Design Rule

Keep these responsibilities separate:

• the agent framework owns planning, model calls, and graph state
• skrun owns skill discovery, build, install, and local execution
• each skill owns its own artifact contract and JSON schema