Acorn: 구조화된 I/O와 에이전틱 루프를 지원하는 LLM 에이전트 프레임워크

from pydantic import BaseModel, Field
from acorn import Module

class Input(BaseModel):
    text: str = Field(description="The text to summarize")
    max_words: int = Field(default=100, description="Maximum words in summary")

class Output(BaseModel):
    summary: str = Field(description="The concise summary")
    word_count: int = Field(description="Number of words in summary")

class Summarizer(Module):
    """Summarize text concisely."""
    initial_input = Input
    final_output = Output
    model = "anthropic/claude-sonnet-4-5-20250514"

summarizer = Summarizer()
result = summarizer(text="Long article text here...", max_words=50)

class ResearchAgent(Module):
    """Research assistant with tools."""
    initial_input = Input
    max_steps = 5
    final_output = Output
    model = "anthropic/claude-sonnet-4-5-20250514"

    @tool
    def search(self, query: str) -> list:
        """Search for information."""
        return ["result1", "result2"]

    def on_step(self, step):
        print(f"Step {step.counter}")
        if len(step.tool_results) >= 3:
            step.finish(findings="Sufficient data collected", sources=["source1"])
        return step