II.
LibraryProcess JSON
Structured · livelib-process:ai-agents-conversational--conversation-quality-testing
conversation-quality-testing json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "lib-process:ai-agents-conversational--conversation-quality-testing",
"_kind": "LibraryProcess",
"_file": "generated-library/processes.yaml",
"_cluster": "generated-library",
"attributes": {
"displayName": "conversation-quality-testing",
"description": "Conversation Quality Testing and Metrics - Process for measuring conversational AI quality including\nintent accuracy, dialogue success rate, user satisfaction (CSAT), response appropriateness, and conversation coherence.",
"libraryPath": "library/specializations/ai-agents-conversational/conversation-quality-testing.js",
"specialization": "ai-agents-conversational",
"references": [
"- DSTC: https://dstc.community/\n- Conversation Quality Metrics: https://aclanthology.org/2020.nlp4convai-1.8/"
],
"example": "const result = await orchestrate('specializations/ai-agents-conversational/conversation-quality-testing', {\n systemName: 'customer-chatbot',\n qualityMetrics: ['intent-accuracy', 'dialogue-success', 'csat', 'coherence'],\n testDataset: { conversations: 100 }\n});",
"usesAgents": [
"data-preparer",
"llm-judge",
"dialogue-tester",
"coherence-evaluator",
"feedback-analyst",
"report-generator"
]
},
"outgoingEdges": [
{
"from": "lib-process:ai-agents-conversational--conversation-quality-testing",
"to": "domain:software-engineering",
"kind": "lib_applies_to_domain",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:ai-agents-conversational--conversation-quality-testing",
"to": "workflow:code-review",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 1
}
},
{
"from": "lib-process:ai-agents-conversational--conversation-quality-testing",
"to": "workflow:code-review",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-process:ai-agents-conversational--conversation-quality-testing",
"to": "workflow:prompt-engineering-iteration",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 0.5
}
},
{
"from": "lib-process:ai-agents-conversational--conversation-quality-testing",
"to": "specialization:ai-agents-conversational",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 0.9
}
},
{
"from": "lib-process:ai-agents-conversational--conversation-quality-testing",
"to": "lib-agent:ai-agents-conversational--llm-judge",
"kind": "uses_agent",
"attributes": {
"weight": 0.8
}
}
],
"incomingEdges": []
}