run-llama/vibe-llama/text-classification

from llama_cloud.types import ClassifierRule
# Define classification rules (natural language descriptions)
rules = [
    ClassifierRule(
        type="invoice",
        description="Documents that are invoices for goods or services, containing line items, prices, and payment terms",
    ),
    ClassifierRule(
        type="contract",
        description="Legal agreements between parties, containing terms, conditions, and signatures",
    ),
    ClassifierRule(
        type="receipt",
        description="Proof of payment documents, typically shorter than invoices, showing items purchased and amount paid",
    ),
]

from llama_cloud_services.beta.classifier.client import ClassifyClient
# Initialize client
# Note: the beta client differs in usage slightly compared to other clients in llama-cloud-services
classifier = ClassifyClient.from_api_key(api_key)
# Classify a PDF directly (parsing happens implicitly)
result = await classifier.aclassify_file_path(
    rules=rules,
    file_input_path="document.pdf",
)
# Access classification results
classification = result.items[0].result
print(f"Predicted Type: {classification.type}")
print(f"Confidence: {classification.confidence:.2%}")
print(f"Reasoning: {classification.reasoning}")

pip install llama_cloud_services

export LLAMA_CLOUD_API_KEY="..."

pip install llama_cloud_services

export LLAMA_CLOUD_API_KEY="..."