Getting Started

Installation

uv add pyplait

Or with pip:

pip install pyplait

Note: The package is published as pyplait on PyPI, but you import it as plait in Python.

Quick start

from plait import Module, LLMInference, Parameter
from plait.resources import OpenAIEndpointConfig, ResourceConfig


class SummarizeAndAnalyze(Module):
    def __init__(self):
        super().__init__()
        self.instructions = Parameter(
            value="Be concise and highlight key insights.",
            description="Controls the style of analysis output.",
        )
        self.summarizer = LLMInference(
            alias="fast",
            system_prompt="Summarize the input text concisely.",
        )
        self.analyzer = LLMInference(
            alias="smart",
            system_prompt=self.instructions,
        )

    def forward(self, text: str) -> str:
        summary = self.summarizer(text)
        return self.analyzer(f"Analyze this summary:\n{summary}")


resources = ResourceConfig(
    endpoints={
        "fast": OpenAIEndpointConfig(
            model="gpt-4o-mini",
            max_concurrent=20,
        ),
        "smart": OpenAIEndpointConfig(
            model="gpt-4o",
            max_concurrent=5,
        ),
    }
)

pipeline = SummarizeAndAnalyze().bind(resources=resources)
result = await pipeline("Your input text...")

Next steps

• Browse the Tutorials section for practical workflows.
• Use the API Reference to explore the full surface area.
• Dive into the Design docs to understand tracing, execution, and resources.