slug: openlayer
provider: Openlayer
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: Inference Pipelines
  spec_file: openlayer-inference-pipelines-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: POST /projects/{projectId}/inference-pipelines 'Create an inference pipeline'; 'List inference
    pipeline test results'
  reason: Managing inference pipelines for production model monitoring and their test results is AI/ML
    model lifecycle and MLOps management.
- tag: Commits
  spec_file: openlayer-commits-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.72
  evidence: 'POST /projects/{projectId}/versions createCommit ''Create a project commit''; schemas Commit,
    Test, TestResult; vendor: ''commit model versions and datasets'''
  reason: Operations version ML model/dataset snapshots and return their test results, i.e. AI/ML model
    lifecycle (MLOps) management rather than general source control of software.