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Python SDK for writing Pie inferlets

Project description

inferlet Python SDK

Python API for writing Pie inferlets.

from inferlet import Context, Model, Sampler, runtime

async def main(input: dict) -> str:
    model = Model.load(runtime.models()[0])
    ctx = Context(model)

    ctx.system("You are helpful.").user(input["prompt"])

    return await ctx.generate(
        Sampler.top_p(0.6, 0.95),
        max_tokens=256,
    ).collect_text()

Main pieces

  • Context: owns KV-cache state and chat/raw token buffers.
  • Forward: runs one explicit forward pass with samplers, probes, masks, and manual page control.
  • Generator: multi-step generation loop with stop conditions, constraints, speculation, adapters, and JSON collection.
  • chat, reasoning, tools: optional decoders and helpers for model-native formats.
  • runtime, session, messaging, mcp: host services exposed to inferlets.

Build notes

Python inferlets are packaged as Wasm components. Pure-Python dependencies can be bundled; native extensions such as numpy, orjson, msgspec, or pydantic_core cannot be loaded in the Wasm runtime.

Build through Bakery:

pie build ./my-python-inferlet -o out.wasm

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