slug: chamber
provider: Chamber
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Electrical Components & Equipment
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: Capacity
  spec_file: chamber-capacity-api-openapi.yml
  capability_id: BC-600.50
  capability_id_l1: BC-600
  capability_name: IT Infrastructure Management
  confidence: 0.7
  evidence: GET /capacity getCapacity Get capacity; "programmatic access to manage GPU capacity ... across
    AWS, GCP, Azure, and on-premise clusters"
  reason: GPU compute capacity across clouds is IT infrastructure management; not a subscription or product
    capacity business capability.
- tag: Metrics
  spec_file: chamber-metrics-api-openapi.yml
  capability_id: BC-600.40
  capability_id_l1: BC-600
  capability_name: IT Operations Management
  confidence: 0.7
  evidence: GET /workloads/metrics listRankedWorkloadMetrics Get ranked workload metrics
  reason: Monitoring metrics for GPU workloads — day-to-day IT operations monitoring, per the AIOps control
    plane framing.
- tag: Workloads
  spec_file: chamber-workloads-api-openapi.yml
  capability_id: BC-600.40
  capability_id_l1: BC-600
  capability_name: IT Operations Management
  confidence: 0.7
  evidence: GET /workloads listWorkloads; GET /workloads/stats getWorkloadStats; "monitor, diagnose, and
    resolve GPU workload issues"
  reason: Inventory and statistics of running compute workloads — IT operations monitoring, not a business-domain
    object.