Agents as Tools

We support using agents as tools in the following two ways:

1. Python Function

By using a python function to call your agent, you can have the flexibility of your agent being invoked in different ways in different contexts. You will then simply pass this function as a tool to your Orchestrator.

import railtracks as rt
from my_agents import SomeAgent

@rt.function_node
def some_way(arg1: arg1_type, arg2: arg2_type) -> return_type
    """Here you can tell the Orchestrator what this agent/tool does

    Args:
        arg1: ...
        arg2: ....
    """
    ...

2. Agent Manifest

In this way, at agent definition time, you also define how this agent can be used by other agents.

import railtracks as rt

WorkerAgent = rt.agent_node(
    ...
    manifest=rt.ToolManifest(
        description="Telling Agents using this agent what it does",
        parameters=[
            rt.llm.Parameter(
                name="param_name",
                description="definition of parameter",
                param_type="param_type",
            ),
        ],
    ),
)

You can refer to API Reference for more information. Or take a look at our Tutorials section.