pllm.roles Python API

Role components make client, preparation, inference, and single-evaluator placement explicit in pipeline configuration. Presence documents API availability, not complete model, security, or deployment coverage; check implementation status before relying on a path.

Research context

Relevant design inputs: DASH. PLLM's implementation and evidence claims remain independent.

Python SDK example

The example performs a bounded offline task and checks an observable result. It does not download a checkpoint or contact a provider.

import pllm.roles as roles

inference = roles.Inference()
assert inference.component == "pllm/inference"

API: pllm.roles

Objects and signatures

Inference

Selects component pllm/inference during online; it provides remote-linear-stage-execution for roles inference.

• Canonical object: pllm.roles.Inference
• Kind: class
• Signature/type: __init__(self) -> None
• Public exports: pllm.roles.Inference
• Public members: descriptor: ComponentDescriptor; __init__(self) -> None; classmethod describe(cls) -> ComponentDescriptor

InferenceRole

Immutable InferenceRole record carrying component, params for the workflow where role components make client, preparation, inference, and single-evaluator placement explicit in pipeline configuration.

• Canonical object: pllm.roles.InferenceRole
• Kind: class
• Signature/type: constructor not exposed
• Public exports: pllm.roles.InferenceRole