slug: kserve
provider: KServe
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: 1
edges:
- tag: Models
  spec_file: kserve-models-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /v1/models/{model_name}:predict Predict (V1); POST /v2/models/{model_name}/infer Inference
    (V2 Open Inference Protocol); POST /v1/models/{model_name}:explain Explain (V1)
  reason: Serving, listing and explaining ML models for inference is squarely AI/ML model lifecycle and
    MLOps operation.