slug: openpipe
provider: OpenPipe
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: 3
edges:
- tag: Models
  spec_file: openpipe-models-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.85
  evidence: POST /models  createModel; GET /models  listModels; DELETE /models/{modelSlug}  deleteModel
    — vendor is a 'fine-tuning and inference platform'
  reason: CRUD over fine-tuned ML models is squarely AI/ML model lifecycle management (MLOps).
- tag: Unstable
  spec_file: openpipe-unstable-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.85
  evidence: POST /unstable/finetune/create  unstableFinetuneCreate; POST /unstable/dataset/create  unstableDatasetCreate
  reason: Operations create and manage training datasets and fine-tune jobs — plainly AI/ML model lifecycle
    (MLOps) management. The 'Unstable' tag is just an API maturity prefix; the operations carry the meaning.
- tag: Chat
  spec_file: openpipe-chat-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /chat/completions  createChatCompletion  Create chat completion — vendor serves fine-tuned
    models 'via OpenAI-compatible API'
  reason: This is model inference serving for LLMs, part of the AI/ML model lifecycle and MLOps capability.
    The single operation is thin context, so confidence is tempered.