cyberneticlibrary

Evaluate AI behavior with LLM evals

ai-eval-engineersubagentsetup L20
OgenticAI/ogentic-audit
What it does

Manage workflow processes

Best for

Validating LLM behavior against strict criteria (structure, safety, cost) that string assertions cannot verify.

Inputs
  • · CSV file path or content
  • · Feature spec or user story
  • · User request in natural language
Outputs
  • · Structured report (JSON or markdown)
  • · Severity scorecard with grades
  • · Inline code comments or findings
  • · Issue/ticket records
  • · Result summary or action performed
Requires
  • · Linear API (tickets)
Preconditions

Source files or data accessible; required context loaded

Failure modes
  • · Token limit exceeded on large files
  • · Input format invalid or unparseable
  • · External API rate limit or downtime
Trust signals
  • · Includes test suite validation