slug: athina
provider: Athina AI
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Software & Technology
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 2
edges:
- tag: Evaluations
  spec_file: athina-evaluations-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /eval/run runEval — 'Run an evaluation'; schemas EvalDefinition, RunEvalRequest, RunEvalResponse
  reason: Executes preset/custom evaluations against LLM outputs — model evaluation within the AI/ML lifecycle
    (responsible AI / MLOps).
- tag: Prompts
  spec_file: athina-prompts-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: PUT /prompt/{prompt_slug} createPromptTemplate — 'Create or version a prompt template'; POST
    /prompt/{prompt_slug}/run — 'Run a prompt'
  reason: Versioning and execution of prompt templates is artefact lifecycle management for LLM applications,
    sitting within AI/ML model lifecycle management.