slug: langdb
provider: LangDB
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: Chat
  spec_file: langdb-chat-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: POST /chat/completions  createChatCompletion  Create a chat completion — "routes requests
    across 250+ models from providers such as OpenAI, Anthropic, Google"
  reason: The operation performs LLM inference through a governed AI gateway. This realises Artificial
    Intelligence Management (model serving/operation) for whoever consumes it; no industry-specific business
    process is performed.
- tag: Embeddings
  spec_file: langdb-embeddings-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /embeddings  createEmbedding  Create embeddings
  reason: Embedding generation is an ML model inference operation exposed by the AI gateway, mapping to
    AI/ML model lifecycle and operations. Single generic operation, so moderate confidence.