slug: kataai provider: Kata.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: Environments spec_file: kataai-environments-api-openapi.yml capability_id: BC-4210.20 capability_id_l1: BC-4210 capability_name: Environment Management confidence: 0.8 evidence: GET /projects/{projectId}/environments 'List all environments'; PUT .../environments/{environmentId} 'Update an environment (change deployment version)' reason: Explicit provisioning and stewardship of named environments to which deployment versions are assigned — environment management within release and deployment. - tag: Deployments spec_file: kataai-deployments-api-openapi.yml capability_id: BC-4210 capability_id_l1: BC-4210 capability_name: Software Release & Deployment Management confidence: 0.75 evidence: POST /projects/{projectId}/deployment/versions 'Create a new deployment version'; GET /projects/{projectId}/deployment/ 'Get the latest deployment version' reason: Operations create, version, list and promote deployments of the bot software, which is release and deployment management. Ambiguity between release engineering (versioning) and deployment orchestration, so L1 only. - tag: NLU spec_file: kataai-nlu-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.7 evidence: GET /projects/{projectId}/nlus 'List NLUs'; PUT /projects/{projectId}/nlus/{nluName} 'Update an NLU' reason: Lists and updates Natural Language Understanding models, i.e. management of ML model artefacts — AI/ML model lifecycle. - tag: Prediction spec_file: kataai-prediction-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.7 evidence: 'POST /nlus/{nluId}/predict ''Predict entities for a sentence''; description: ''exposes a trained Natural Language Understanding model built in NL Studio so it can be called from any application''' reason: Runtime inference against a trained ML model — part of the AI/ML model lifecycle (model serving) rather than any domain business capability.