slug: adaptive-ml
provider: Adaptive ML
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: Completions
  spec_file: adaptive-ml-completions-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /api/v1/chat/completions — 'Generate chat completion', schemas ChatInput, GenerateParameters,
    ChatResponseChunk
  reason: This is LLM inference serving from the vendor's model-serving platform ('Serve' phase of Adapt/Evaluate/Serve).
    The closest honest capability is AI/ML model lifecycle and serving (BC-610.60). It is a runtime inference
    endpoint rather than a governance process, so confidence is moderate.