slug: poolside-ai
provider: Poolside
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: Chat
  spec_file: poolside-ai-chat-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /openai/v1/chat/completions  create-chat-completion  Create chat completion
  reason: LLM inference endpoints are the runtime of an AI model; the closest candidate is Artificial
    Intelligence Management (AI/ML model lifecycle). Moderate confidence since inference serving is only
    part of that capability.