LM Studio¶

from sentimatrix import Sentimatrix
from sentimatrix.config import SentimatrixConfig, LLMConfig

config = SentimatrixConfig(
    llm=LLMConfig(
        provider="lmstudio",
        model="local-model",  # Model loaded in LM Studio
        api_base="http://localhost:1234/v1"
    )
)

async with Sentimatrix(config) as sm:
    summary = await sm.summarize_reviews(reviews)

LLMConfig(
    provider="lmstudio",
    model="local-model",
    api_base="http://localhost:1234/v1",  # LM Studio server
    temperature=0.7,
    max_tokens=4096,
    timeout=60,  # Local inference may be slower
)

# Perfect for sensitive data that can't leave your network
config = SentimatrixConfig(
    llm=LLMConfig(
        provider="lmstudio",
        api_base="http://localhost:1234/v1"
    )
)

async with Sentimatrix(config) as sm:
    # All processing happens locally
    sensitive_reviews = load_private_data()
    results = await sm.analyze_batch(sensitive_reviews)