KAPSO

pip install leeroopedia-mcp

from kapso.kapso import Kapso, Source, DeployStrategy

# Initialize Kapso with legal domain knowledge
kapso = Kapso(kg_index="data/indexes/legal_contracts.index")

# Research: Gather domain-specific alignment techniques
research_findings = kapso.research(
    "RLHF and DPO fine-tuning for legal contract analysis",
    depth="deep",
)

# Learn: Ingest knowledge from repositories
kapso.learn(
    sources=[
        Source.Repo("https://github.com/huggingface/trl"),
        *research_findings.repos(top_k=5),
    ],
    wiki_dir="data/wikis",
)

# Evolve: Build a solution through experimentation
# The agent writes evaluate.py to compute F1 score and signal when target is reached
solution = kapso.evolve(
    goal="Fine-tune Llama-3.1-8B on the CUAD dataset (https://huggingface.co/datasets/theatticusproject/cuad) for legal clause risk classification, target F1 > 0.85 on high-risk clause detection",
    output_path="./models/legal_risk_v1",
    context=[research_findings.ideas(top_k=10)],
)

# Deploy: Turn solution into running deployed_program
deployed_program = kapso.deploy(solution, strategy=DeployStrategy.MODAL)

# Cleanup
deployed_program.stop()