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Use the Control Plane SDK surface when you are managing Tensormesh resources instead of sending inference requests. Common tasks include:
  • reading the current user profile or API keys
  • browsing models and related inventory
  • checking balance, transactions, and support tickets
  • accessing admin or observability APIs from application code
The control-plane SDK surface lives under client.control_plane. Use it with a control-plane bearer token: 
from tensormesh import Tensormesh

client = Tensormesh(control_plane_token="YOUR_CONTROL_PLANE_TOKEN")
When you compare this guide to the generated Control Plane reference, remember that some mixed resource families include both standard and admin routes, and some internal-only routes such as Stripe webhook delivery are intentionally omitted from the public SDK surface.

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Start With Common Read-Only Tasks

from tensormesh import Tensormesh

client = Tensormesh(control_plane_token="YOUR_CONTROL_PLANE_TOKEN")

profile = client.control_plane.users.get_auth_profile()
api_keys = client.control_plane.users.api_keys.list()

print(profile.display_name)
print([item.name for item in api_keys])

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Work With Models

from tensormesh import Tensormesh

client = Tensormesh(control_plane_token="YOUR_CONTROL_PLANE_TOKEN")
models = client.control_plane.models.list()

for model in models:
    print(model.model_id, model.model_name)

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Check Billing And Support

from tensormesh import Tensormesh

client = Tensormesh(control_plane_token="YOUR_CONTROL_PLANE_TOKEN")

balance = client.control_plane.billing.balance.get()
tickets = client.control_plane.support.tickets.list(size=20)

print(balance.units if balance is not None else "0")
print([ticket.subject for ticket in tickets.tickets])

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Stripe Billing Flows

from tensormesh import Tensormesh

client = Tensormesh(control_plane_token="YOUR_CONTROL_PLANE_TOKEN")

customer = client.control_plane.billing.stripe.customer.get_or_create()
payment_methods = client.control_plane.billing.stripe.payment_methods.list()
setup_intent = client.control_plane.billing.stripe.setup_intents.create()

print(customer.stripe_customer_id)
print(payment_methods.stripe_payment_method_ids)
print(setup_intent.client_secret)

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Auto-Pagination

Use auto_paging_iter(...) on paged resources when you want items instead of manual page handling. 
from tensormesh import Tensormesh

client = Tensormesh(control_plane_token="YOUR_CONTROL_PLANE_TOKEN")

for transaction in client.control_plane.billing.transactions.auto_paging_iter(
    page_size=100,
):
    print(transaction.transaction_id, transaction.amount)

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Async Control Plane Usage

import asyncio

from tensormesh import AsyncTensormesh


async def main() -> None:
    async with AsyncTensormesh(
        control_plane_token="YOUR_CONTROL_PLANE_TOKEN",
    ) as client:
        tickets = await client.control_plane.support.tickets.list(size=20)
        print([ticket.subject for ticket in tickets.tickets])


asyncio.run(main())
Use the Control Plane API tab in the docs navigation for generated management API reference.