slug: oxen
provider: Oxen
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: 'Fine Tunes:'
  spec_file: oxen-fine-tunes-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.9
  evidence: POST /api/repos/{namespace}/{repo_name}/fine_tunes Create a fine-tune job; List checkpoints
    for a fine-tune job; Deploy a checkpoint from a fine-tune job
  reason: Full training-job lifecycle — create, run, stop, checkpoints, deployment, logs, tokenisation
    — which is squarely AI/ML model lifecycle and MLOps management.
- tag: AI
  spec_file: oxen-ai-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /api/ai/chat/completions ... Create chat completion; GET /api/ai/models List models;
    DELETE /api/ai/models/{id} Delete custom model
  reason: Operations expose model inference (chat, image, audio generation) and management of a model
    catalogue including custom models — AI/ML model lifecycle and serving, i.e. Artificial Intelligence
    Management. Not an industry-specific capability; the vendor is an AI/data platform.