Provider roles
Understand the responsibilities of deployment operators, preparation services, and inference services.
Provider supplies static component metadata and implementation artifacts. Operator supplies process placement, authenticated identity, authorization, storage, and operational policy. Preparation creates or installs method-specific material. Inference consumes assigned plan work. A deployment may combine processes, but cannot erase semantic role boundaries or establish non-collusion.
Metadata discovery through pllm components never loads providers or native libraries. Research discovery never executes recipes. pllm serve inference and pllm serve preparation start the two roles, but authenticated role-plan delivery and a complete target lifecycle contract remain blockers. See the serving guide.
Python SDK example
from pllm.components import get, get_component
from pllm.roles import Inference
role_class = get("pllm/inference")
method = get_component("pllm/masked-linear")
assert role_class is Inference
assert role_class.describe().role_eligibility == ("inference",)
assert method.role_eligibility == ("client", "preparation", "inference")API: pllm.components.get and get_component
Role metadata does not establish operator identity, authentication, or non-collusion.