Skip to main content

LLM-powered risk statement generator and evidence validator for Evidentia

Project description

evidentia-ai

LLM-powered features for Evidentia: risk statement generation and (in Phase 3) evidence validation.

Uses LiteLLM for provider-agnostic LLM calls and Instructor for structured output extraction into Pydantic models.

Provides

  • Risk Statement Generator — Convert control gaps into NIST SP 800-30-compliant risk statements
  • Evidence Validator (Phase 3) — Assess evidence sufficiency using LLM analysis
  • LLM Client — Provider-agnostic wrapper around LiteLLM with retry, rate limiting, and structured output

Supported providers

Any provider supported by LiteLLM:

  • Anthropic Claude (default: claude-sonnet-4-6)
  • OpenAI GPT
  • Google Gemini
  • AWS Bedrock
  • Azure OpenAI
  • Local models via Ollama, vLLM, etc.

Install

pip install evidentia-ai

License: Apache 2.0

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

evidentia_ai-0.9.1.tar.gz (42.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

evidentia_ai-0.9.1-py3-none-any.whl (52.4 kB view details)

Uploaded Python 3

File details

Details for the file evidentia_ai-0.9.1.tar.gz.

File metadata

  • Download URL: evidentia_ai-0.9.1.tar.gz
  • Upload date:
  • Size: 42.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for evidentia_ai-0.9.1.tar.gz
Algorithm Hash digest
SHA256 b2ea61b7bf0b99f06e5f00557e36df18df684db6ee7269ae33f9cfa8b0e1b8fa
MD5 9e28d6262021df732dfe712000039e44
BLAKE2b-256 15e2acdf429bf355167b9087b11f42f9d4a4629df1c69b462ef194b33e87d0f5

See more details on using hashes here.

Provenance

The following attestation bundles were made for evidentia_ai-0.9.1.tar.gz:

Publisher: release.yml on Polycentric-Labs/evidentia

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file evidentia_ai-0.9.1-py3-none-any.whl.

File metadata

  • Download URL: evidentia_ai-0.9.1-py3-none-any.whl
  • Upload date:
  • Size: 52.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for evidentia_ai-0.9.1-py3-none-any.whl
Algorithm Hash digest
SHA256 6d3012b01645ca21682e2d3da2978ee28a710d5ea8875edc689f21150d7b30de
MD5 9536fb0e7f77765dd974507380421fac
BLAKE2b-256 40bc5b3001896ec1c9b3656de8e2c7e777176435d7fc55f4fdc9a0ed02793764

See more details on using hashes here.

Provenance

The following attestation bundles were made for evidentia_ai-0.9.1-py3-none-any.whl:

Publisher: release.yml on Polycentric-Labs/evidentia

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page