slug: lorikeet
provider: Lorikeet
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: Conversations
  spec_file: lorikeet-conversations-api-openapi.yml
  capability_id: BC-430.10
  capability_id_l1: BC-430
  capability_name: Customer Inquiry Management
  confidence: 0.8
  evidence: POST /conversations  createConversation  Create a conversation; schemas EndUser, ConversationStatus,
    Message — "an AI customer support agent for complex and regulated businesses"
  reason: Operations create, list and continue customer support conversations with end users for an AI
    support agent, i.e. handling inbound customer contacts through to resolution. Sub-capability choice
    between inquiry handling and self-service/chatbot is the residual ambiguity.
- tag: Messages
  spec_file: lorikeet-messages-api-openapi.yml
  capability_id: BC-430.10
  capability_id_l1: BC-430
  capability_name: Customer Inquiry Management
  confidence: 0.75
  evidence: GET /conversations/{conversation_id}/messages  listMessages  List messages; POST /conversations/{conversation_id}/messages  createMessage  Post
    a message
  reason: Message exchange inside a customer support conversation handled by the AI agent, i.e. inbound/outbound
    contact handling within customer service. Narrow surface but unambiguously part of the support interaction.