slug: traceloop
provider: Traceloop
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: 1
edges:
- tag: Evaluators
  spec_file: traceloop-evaluators-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.72
  evidence: '''Create a custom LLM-as-a-judge evaluator'', ''Execute answer-correctness evaluator'', ''Execute
    agent-goal-accuracy evaluator'', schemas request.PIIDetectorConfigRequest, response.SemanticSimilarityResponse'
  reason: Systematic evaluation of LLM/agent output quality is part of the AI/ML model lifecycle and responsible-AI
    practice (BC-610.60). Some overlap with software quality engineering, hence moderate confidence.