slug: truefoundry
provider: TrueFoundry
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: Chat
  spec_file: truefoundry-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 'Create Chat Completion'; schemas ChatCompletionRequest, ChatCompletionResponse
  reason: LLM chat inference through the AI gateway — not customer messaging or contact-centre chat (no
    conversation, agent or ticket schemas). This realises AI/ML model usage, mapped to Artificial Intelligence
    Management.
- tag: Embeddings
  spec_file: truefoundry-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 'Create Embeddings'; schemas EmbeddingRequest, EmbeddingResponse
  reason: Vector embedding generation from an AI model gateway — purely AI/ML model inference, mapped
    to Artificial Intelligence Management. No other candidate capability describes this.
- tag: Images
  spec_file: truefoundry-images-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /images/generations 'Generate Images'; schemas ImageGenerationRequest, ImageGenerationResponse
  reason: Generative image model inference via the AI gateway. This is AI model consumption, not marketing
    content production (no campaign, asset library or publishing surface), so Artificial Intelligence
    Management is the correct read.