bizsupply-sdk 0.1.1

SDK for developing plugins for the bizSupply platform (requires a bizSupply account)

bizSupply Plugin SDK

The official SDK for developing plugins and benchmarks for the bizSupply document processing platform.

This SDK is designed exclusively for the bizSupply platform. It provides base classes, testing utilities, and CLI tools for building plugins that run inside the bizSupply engine. The SDK has no standalone functionality — a bizSupply account is required. Sign up at bizsupply.ai to get started.

Quick Start

# Install the SDK
pip install bizsupply-sdk

# Create a new plugin project
bizsupply init classification --name my-classifier
cd my-classifier

# Create a new benchmark
bizsupply init benchmark --name energy-price

# Validate your code
bizsupply validate src/plugin.py

# Run tests
pytest tests/

Plugin Types

Type	Purpose	Base Class	Required Method
Source	Ingest documents from external sources	SourcePlugin	fetch(), has_new_data()
Classification	Categorize documents with labels	ClassificationPlugin	classify()
Extraction	Extract structured data from documents	ExtractionPlugin	extract()
Benchmark	Score and compare documents	BaseBenchmark	score(), compute(), compare()

Example: Classification Plugin

from typing import Any
from bizsupply_sdk import ClassificationPlugin, Document


class MyClassificationPlugin(ClassificationPlugin):
    """Classify documents using LLM analysis."""

    async def classify(
        self,
        document: Document,
        file_data: bytes | None,
        mime_type: str | None,
        available_labels: list[str],
        current_path: list[str],
        configs: dict[str, Any],
    ) -> str | None:
        """Classify a document by selecting from available_labels.

        The engine handles ontology tree traversal - just pick one label.
        Return None if no label matches.
        """
        # Use LLM to classify
        path_str = " > ".join(current_path) if current_path else "Root"
        prompt = f"Path: {path_str}\nOptions: {available_labels}\nSelect the best match."

        response = await self.prompt_llm(
            prompt=prompt,
            file_data=file_data,  # Gemini reads PDFs directly
            mime_type=mime_type,
        )

        # prompt_llm() returns dict | list | None
        category = response.get("category") if isinstance(response, dict) else None
        if category in available_labels:
            return category
        return None

Example: Benchmark

from typing import Any

from bizsupply_sdk import BaseBenchmark, ExtendedDocument, ScoredDocument, MatchCondition, MatchRule


class EnergyPriceBenchmark(BaseBenchmark):
    """Find the best energy contract price from invoice data."""

    name = "energy_price"
    target_labels = ["contract", "energy"]
    metric_unit = "EUR/kWh"

    MATCH_RULES = [
        MatchRule(
            name="contract_invoice_match",
            left_group=["contract", "energy"],
            right_group=["invoice", "energy"],
            conditions=[
                MatchCondition(
                    left_field="client_tax_id",
                    right_field="client_tax_id",
                    match_type="==",
                ),
            ],
        ),
    ]

    def score(self, document: ExtendedDocument) -> float | None:
        prices = [inv.get("price_per_kwh") for inv in document.aggregations]
        prices = [p for p in prices if p is not None]
        return sum(prices) / len(prices) if prices else None

    def compute(self, results: list[ScoredDocument]) -> float:
        return min(r.score for r in results)  # Best (lowest) market price

    def compare(self, document_score: float, benchmark_score: float) -> bool:
        return document_score > benchmark_score  # Paying more than market

Testing Your Plugin

import pytest
from bizsupply_sdk.testing import MockPluginServices, create_test_document


@pytest.fixture
def mock_services():
    return MockPluginServices(
        llm_responses={"default": "Contract"}
    )


async def test_classification(mock_services):
    plugin = MyClassificationPlugin()
    mock_services.configure_plugin(plugin)

    document = create_test_document(content="Contract agreement...")

    result = await plugin.classify(
        document=document,
        file_data=b"test content",
        mime_type="application/pdf",
        available_labels=["Contract", "Invoice", "Report"],
        current_path=[],
        configs={},
    )

    assert result == "Contract"
    assert mock_services.llm_call_count == 1

CLI Commands

Command	Description
bizsupply init <type>	Scaffold a new plugin or benchmark (source, classification, extraction, benchmark, ontology)
bizsupply validate <file>	Validate plugin or benchmark code structure
bizsupply tutorial	Interactive development workflow tutorial

Documentation

• Getting Started
• Create a Classification Plugin
• Create an Extraction Plugin
• Create a Source Plugin

Links

• bizSupply Platform - Sign up and manage your account
• Documentation - Full developer documentation

License

MIT License - see LICENSE file for details.