slug: azure-ai-foundry
provider: Microsoft Azure AI Foundry
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: 4
edges:
- tag: Chat Completions
  spec_file: azure-ai-foundry-chat-completions-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: POST /deployments/{deployment-id}/chat/completions — "Create a chat completion"; "Data-plane
    REST API for running inference against models deployed in Microsoft Azure AI Foundry"
  reason: The operations invoke deployed generative AI models for inference, which is the serving/consumption
    leg of the AI/ML model lifecycle. Artificial Intelligence Management is the closest honest fit; confidence
    tempered because the surface is pure runtime inference rather than model lifecycle governance.
- tag: Completions
  spec_file: azure-ai-foundry-completions-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.72
  evidence: POST /deployments/{deployment-id}/completions — "Create a text completion"; "running inference
    against models deployed in Microsoft Azure AI Foundry"
  reason: Single operation that runs text-generation inference against a deployed model — AI model serving,
    mapped to Artificial Intelligence Management. Thin surface (one operation, no schemas) keeps confidence
    moderate.
- tag: Embeddings
  spec_file: azure-ai-foundry-embeddings-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.72
  evidence: POST /deployments/{deployment-id}/embeddings — "Create embeddings"; "running inference against
    models deployed in Microsoft Azure AI Foundry"
  reason: Generates vector embeddings from a deployed model — AI/ML model inference, mapped to Artificial
    Intelligence Management. Could equally be read as a data-architecture primitive, so confidence is
    moderate.
- tag: Images
  spec_file: azure-ai-foundry-images-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /deployments/{deployment-id}/images/generations  generateImages  Generate images
  reason: Data-plane inference call against a deployed generative model; closest honest fit is AI/ML model
    lifecycle and operation under Information & Data Management. Confidence moderate because runtime inference
    is arguably pure consumption rather than AI management.