slug: hamming-ai
provider: Hamming AI
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: Monitoring
  spec_file: hamming-ai-monitoring-api-openapi.yml
  capability_id: BC-4220.20
  capability_id_l1: BC-4220
  capability_name: Observability Management
  confidence: 0.7
  evidence: POST /traces ingestTraces; POST /logs ingestLogs; POST /v2/call-logs ingestCallLog "Ingest
    a production call log"
  reason: Ingestion of traces, logs and production call logs for monitoring a running service is observability
    instrumentation, not business-domain alerting.
- tag: Voice Testing
  spec_file: hamming-ai-voice-testing-api-openapi.yml
  capability_id: BC-4200.50
  capability_id_l1: BC-4200
  capability_name: Software Quality Engineering
  confidence: 0.7
  evidence: POST /voice-agent/{agentId}/run "Run a voice agent against a dataset"; POST /test-runs/create-livekit-rooms
    "Create LiveKit rooms for a test run"
  reason: Operations execute automated test runs of a voice agent and retrieve the resulting calls — automated
    test execution, i.e. software quality engineering. Not contact-centre telephony operations despite
    the voice/call vocabulary.