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-0.10.5.tar.gz (24.4 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-0.10.5-py3-none-any.whl (31.8 kB view details)

Uploaded Python 3

File details

Details for the file evidentia_ai-0.10.5.tar.gz.

File metadata

  • Download URL: evidentia_ai-0.10.5.tar.gz
  • Upload date:
  • Size: 24.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for evidentia_ai-0.10.5.tar.gz
Algorithm Hash digest
SHA256 1eb1a03856fb7b0c8791c2acecd9907ecacd07197a242364b5aaf660c2c75ff0
MD5 15c24161e7636f85eccff0b25d02a305
BLAKE2b-256 61d1d02a28ab21911d1c4bfe530d841c82fb34cff6d5b362dd86a1264d62a8dc

See more details on using hashes here.

Provenance

The following attestation bundles were made for evidentia_ai-0.10.5.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-0.10.5-py3-none-any.whl.

File metadata

  • Download URL: evidentia_ai-0.10.5-py3-none-any.whl
  • Upload date:
  • Size: 31.8 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-0.10.5-py3-none-any.whl
Algorithm Hash digest
SHA256 71f83552f15372eeacc18f9b78c8b25e6f8faf55e1fca25722dabd668846ddd8
MD5 fad053d14684aeedf6354fa7f97827e4
BLAKE2b-256 29e790235685824280640055a88adda3d2dfdb6d1d53c969e8bd1c39370c687b

See more details on using hashes here.

Provenance

The following attestation bundles were made for evidentia_ai-0.10.5-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