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-0.7.13.tar.gz (19.1 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-0.7.13-py3-none-any.whl (23.9 kB view details)

Uploaded Python 3

File details

Details for the file evidentia_ai-0.7.13.tar.gz.

File metadata

  • Download URL: evidentia_ai-0.7.13.tar.gz
  • Upload date:
  • Size: 19.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for evidentia_ai-0.7.13.tar.gz
Algorithm Hash digest
SHA256 76320e4a891ca0073e1372c3456ead8a445c9150393da60b62cbe975e8212334
MD5 abbb6166bb2a67e2773ea465ce6af2d1
BLAKE2b-256 b4b07e8a85acd9f9a60de804a0d8e7be308f70f7be77f0cee303475a91f72398

See more details on using hashes here.

Provenance

The following attestation bundles were made for evidentia_ai-0.7.13.tar.gz:

Publisher: release.yml on allenfbyrd/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-0.7.13-py3-none-any.whl.

File metadata

  • Download URL: evidentia_ai-0.7.13-py3-none-any.whl
  • Upload date:
  • Size: 23.9 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-0.7.13-py3-none-any.whl
Algorithm Hash digest
SHA256 d5eaf533b8ea8bb9c5dd1f78728ed2fa4efc7aa10a6ea598cb9a614eae8eb7f6
MD5 8acb66ebf3bc515e808aeae9a8e13e6c
BLAKE2b-256 1af08f1a67e64922a278093b3ee048dfdef5eb9013ed51b31eeb5e237dc1d4c3

See more details on using hashes here.

Provenance

The following attestation bundles were made for evidentia_ai-0.7.13-py3-none-any.whl:

Publisher: release.yml on allenfbyrd/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