classify-files-according-to-specific-rules
Invoke this skill BEFORE implementing any text/document classification task to learn the correct llama_cloud_services API usage. Required reading before writing classification code." Requires the llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: Classify files according to specific rules description: Invoke this skill BEFORE implementing any text/document classification task to learn the correct llama_cloud_services API usage. Required reading before writing classification code." Requires the llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
Texts and Files Classification
Quick start
- Define classification rules:
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",
),
]
- Create the classification client and run the job:
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}")
For more detailed code implementations, see REFERENCE.md.
Requirements
The llama_cloud_services package must be installed in your environment (with it come the pydantic and llama_cloud packages):
pip install llama_cloud_services
And the LLAMA_CLOUD_API_KEY must be available as an environment variable:
export LLAMA_CLOUD_API_KEY="..."
For more detailed code implementations, see REFERENCE.md.
Requirements
The llama_cloud_services package must be installed in your environment:
pip install llama_cloud_services
And the LLAMA_CLOUD_API_KEY must be available as an environment variable:
export LLAMA_CLOUD_API_KEY="..."
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