CrewAI

pip install crewai

import os

from crewai import LLM

llm = LLM(
    model="openai/auto",                       # openai/ = LiteLLM transport selector
    base_url="https://api.meshapi.ai/v1",
    api_key=os.environ["MESH_API_KEY"],        # rsk_...
)

from crewai import Agent, Crew, Task
from crewai.tools import tool


@tool("get_shipment_status")
def get_shipment_status(order_id: str) -> str:
    """Look up the shipment status of an order by its id."""
    book = {"A-1042": {"state": "in transit", "eta_days": 2}}
    return str({"status": "success", "order_id": order_id, **book.get(order_id, {})})


agent = Agent(
    role="Support agent",
    goal="Answer order shipment questions",
    backstory="You look up orders with the provided tool.",
    llm=llm,
    tools=[get_shipment_status],
)

task = Task(
    description="What is the shipment status of order A-1042?",
    expected_output="One sentence with the state and the ETA.",
    agent=agent,
)

print(Crew(agents=[agent], tasks=[task]).kickoff())

Using an approximate input token count for model 'auto': assuming one token
per four characters because a native token count is unavailable.