slug: google-dialogflow
provider: Google Dialogflow
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: conversationModels
  spec_file: google-dialogflow-conversationmodels-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.82
  evidence: '"conversation models deploy", "conversation models undeploy", schemas GoogleCloudDialogflowV2ConversationModel,
    GoogleCloudDialogflowV2SmartReplyModelMetadata, GoogleCloudDialogflowV2InputDataset'
  reason: Create, train-from-dataset, deploy and undeploy ML models (smart reply, article suggestion)
    — plainly ML model lifecycle / MLOps, which is Artificial Intelligence Management.
- tag: Test Cases
  spec_file: google-dialogflow-test-cases-api-openapi.yml
  capability_id: BC-4200.50
  capability_id_l1: BC-4200
  capability_name: Software Quality Engineering
  confidence: 0.78
  evidence: '"Dialogflow projects locations agents test cases run", "test cases batch run", "test cases
    calculate coverage", schema GoogleCloudDialogflowCxV3IntentCoverage'
  reason: The surface is create/import/run/batch-run of test cases and coverage calculation for an agent
    build — automated test suite stewardship and regression testing of the software artefact, i.e. software
    quality engineering. Not a customer-facing capability.
- tag: Evaluations
  spec_file: google-dialogflow-evaluations-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: '''Dialogflow projects locations conversation models evaluations create'', GoogleCloudDialogflowV2SummarizationEvaluationMetricsEvaluationResult,
    GoogleCloudDialogflowV2GeneratorEvaluation'
  reason: Operations create and read evaluations of conversation models and generative generators with
    summarisation evaluation metrics — model evaluation within the AI/ML model lifecycle (MLOps), fitting
    Artificial Intelligence Management.
- tag: Suggestions
  spec_file: google-dialogflow-suggestions-api-openapi.yml
  capability_id: BC-430.30
  capability_id_l1: BC-430
  capability_name: Contact Centre Operations Management
  confidence: 0.7
  evidence: 'suggestions:suggestFaqAnswers, suggestions:suggestArticles, suggestions:suggestSmartReplies,
    suggestions:suggestConversationSummary; vendor: "the Agent Assist surface for human contact-centre
    agents"'
  reason: The operations generate FAQ answers, article suggestions, smart replies and conversation summaries
    for human agents handling live customer conversations — the Agent Assist surface. That is contact-centre
    agent support within Customer Service Management; the explicit 'human contact-centre agents' framing
    points to contact centre operations, though inquiry resolution (430.10) is an adjacent reading, hence
    moderate confidence on the sub-capability.