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-0.7.10.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-0.7.10-py3-none-any.whl (23.9 kB view details)

Uploaded Python 3

File details

Details for the file evidentia_ai-0.7.10.tar.gz.

File metadata

  • Download URL: evidentia_ai-0.7.10.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-0.7.10.tar.gz
Algorithm Hash digest
SHA256 30721e96800208ade8b1e02d7564a19ea93f0af896acae579f3dad0f5954490c
MD5 08e452d53cfa4269bb46e32d9574a618
BLAKE2b-256 3042e8510dabb3b50a9fb2a7123cc63f9faf4efb0c85647db0b05ea0f219821c

See more details on using hashes here.

Provenance

The following attestation bundles were made for evidentia_ai-0.7.10.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-0.7.10-py3-none-any.whl.

File metadata

  • Download URL: evidentia_ai-0.7.10-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-0.7.10-py3-none-any.whl
Algorithm Hash digest
SHA256 4930e5884d68d64a6170b2ceadbd65b575f3174ed1c8b54ca3d6471923a1e133
MD5 46b54261a87649546ccb7beb8b7d3088
BLAKE2b-256 3ef2d762fc5e8a944cbc68158dc30f4c73e4e5bb2f77189eef00c199640bba45

See more details on using hashes here.

Provenance

The following attestation bundles were made for evidentia_ai-0.7.10-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