slug: freeplay provider: Freeplay 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: Completions spec_file: freeplay-completions-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.8 evidence: POST /projects/{project_id}/sessions/{session_id}/completions recordCompletion 'Record an LLM completion to a session'; 'Aggregate evaluation statistics across completions' reason: Recording and evaluating LLM completions is LLM observability/evaluation, i.e. AI model lifecycle and LLMOps management. - tag: Prompt Templates spec_file: freeplay-prompt-templates-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.8 evidence: createPromptTemplateVersionByName 'Create a new version of a prompt template'; assignPromptTemplateVersionToEnvironments 'Deploy / assign a prompt template version to one or more environments' reason: Versioning and environment deployment of prompt templates is lifecycle management of AI assets (LLMOps), the core of Artificial Intelligence Management. - tag: Datasets spec_file: freeplay-datasets-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.7 evidence: POST /projects/{project_id}/datasets/id/{dataset_id}/test-cases uploadTestCases 'Upload test cases to a dataset' reason: Curation of evaluation datasets and test cases for LLM testing is part of the AI/ML model lifecycle (MLOps) rather than generic data governance or software QA; some ambiguity with test management hence 0.7. - tag: Feedback spec_file: freeplay-feedback-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.7 evidence: POST /projects/{project_id}/completion-feedback/id/{completion_id} recordCompletionFeedback 'Record feedback on a completion' reason: Human/customer feedback captured against LLM completions and traces feeds model evaluation — AI model lifecycle management, not customer feedback/VoC programmes.