slug: keywordsai provider: Keywords 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: 4 edges: - tag: Traces spec_file: keywordsai-traces-api-openapi.yml capability_id: BC-4220.20 capability_id_l1: BC-4220 capability_name: Observability Management confidence: 0.8 evidence: POST /traces/list/ listTraces List traces reason: List/retrieve/delete of Trace objects on an observability platform is squarely logs/metrics/traces stewardship — Observability Management. - tag: Evaluators spec_file: keywordsai-evaluators-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.74 evidence: 'POST /evaluators/{evaluator_id}/run/ ''Run an evaluator''; schemas: Evaluator, EvaluationResult' reason: Creating and running evaluators that produce EvaluationResults is LLM model/prompt evaluation — MLOps within AI management, not generic analytics or product experimentation. - tag: Logging spec_file: keywordsai-logging-api-openapi.yml capability_id: BC-4220.20 capability_id_l1: BC-4220 capability_name: Observability Management confidence: 0.7 evidence: POST /request-logs/ createRequestLog Create a request log (span) reason: Creating request logs/spans on an 'LLM observability' platform is log and trace telemetry of a running service, i.e. Observability Management. Not business logging of transactions. - tag: Prompts spec_file: keywordsai-prompts-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.7 evidence: POST /prompts/{prompt_id}/versions/ createPromptVersion Create a prompt version reason: Full CRUD plus versioning of prompts is prompt-asset lifecycle management for LLM applications, which sits within AI/ML model lifecycle management. Could alternatively be read as generic content/config management, hence not higher.