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 links

Data verified by PyPI on Aug 23, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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1 maintainer

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Credits

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Data sourced directly from PyPI's database.

Author: Allen Byrd

GitHub Statistics

Data verified by PyPI on Aug 23, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

Apache-2.0
View SPDX License List

Requires

Python <3.14, >=3.12

Provides Extra

eval-faithfulness

Tags

compliance grc instructor litellm llm nist-800-30 risk-statement

Classifiers

Report project as malware

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