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opencomplai

License: AGPL-3.0 PyPI Python

The convenience meta-package for Opencomplai — AI compliance for your AI systems: the EU AI Act, and a NIST AI RMF 1.0 view derived from the same evidence. EU AI Act evaluated; NIST AI RMF derived (partial, unreviewed); ISO 42001 native pack, attestation-led (partial, unreviewed); DORA and EBA mapped only. Installing opencomplai gives you both the risk engine and the command-line tool in one step.

Install

pip install opencomplai

This installs:

  • opencomplai-core — the deterministic, rule-based EU AI Act risk engine and code-corroboration scanner.
  • opencomplai-cli — the opencomplai command-line tool.

Quick start

Command line

opencomplai init      # scaffold a system-manifest.json
opencomplai scan      # corroborate manifest against code
opencomplai check     # run the compliance gate

Python SDK

from opencomplai import assess, AssessmentInput, ModelMetadata

result = assess(AssessmentInput(
    model=ModelMetadata(
        name="my-model",
        version="1.0.0",
        modality="text",
        use_case="customer support chatbot",
        deployment_context="production",
    )
))
print(result.risk_level)

Public API re-exported from opencomplai: assess, AssessmentInput, ModelMetadata, RiskLevel, RiskResult, RuleResult, ScanResult, ScanStatusArtifact, SystemManifest, and, for assessing several frameworks side by side, evaluate_targets, resolve_targets, FRAMEWORKS, FrameworkPack, FrameworkReport and GapReport.

Optional: AI intent plugin

For AI-powered intent classification of code callsites, also install opencomplai-ai:

pip install opencomplai-ai
opencomplai scan --ai-intent --ai-model codebert-onnx   # deterministic matcher, no download

The default model is a local GGUF LLM and needs pip install 'opencomplai-ai[deep]'.

Documentation

Full guides, SDK reference, and the EU AI Act concepts at docs.opencomplai.com.

License

AGPL-3.0-only. See LICENSE.

Metadata

Release files for opencomplai 0.9.0

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0.9.1

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0.9.0 This release

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0.8.0

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0.7.1

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0.7.0

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0.6.0

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0.5.0

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0.4.0

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0.3.0

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0.1.2

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0.1.0

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