slug: localai
provider: LocalAI
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: Models
  spec_file: localai-models-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /models/apply — "Install models to LocalAI"; "Report the progress of an in-flight model
    load"; "List installable models"
  reason: Install, delete, list, gallery and load-status operations over ML models are squarely AI/ML
    model lifecycle / MLOps, which is what BC-610.60 Artificial Intelligence Management covers.
- tag: Inference
  spec_file: localai-inference-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: POST /v1/chat/completions — "Generate a chat completions for a given prompt and model"; schema.AnthropicRequest,
    schema.OpenResponsesRequest
  reason: Core LLM inference surface (completions, messages, responses). This realises AI/ML capability
    delivery — Artificial Intelligence Management — rather than any line-of-business process.
- tag: Audio
  spec_file: localai-audio-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /v1/audio/transcriptions  postV1AudioTranscriptions  Transcribes audio into the input
    language; POST /v1/audio/diarization  Identify speakers in audio (who spoke when)
  reason: Speech-to-text, text-to-speech, audio classification and diarization served by model backends
    — AI/ML inference capability. Maps to Artificial Intelligence Management; it is not contact-centre
    or media capability since the operations are raw model inference.
- tag: Embeddings
  spec_file: localai-embeddings-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /v1/embeddings  Get a vector representation of a given input that can be easily consumed
    by…
  reason: Vector embedding generation by an ML model — an AI inference capability of the self-hosted engine,
    mapping to Artificial Intelligence Management.