{
  "id": "lib-process:ai-agents-conversational--chatbot-design-implementation",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "chatbot-design-implementation",
    "description": "Chatbot Design and Implementation - Comprehensive process for designing and implementing chatbots including\nconversation flow design, intent/entity recognition, dialogue management, and multi-channel deployment.",
    "libraryPath": "library/specializations/ai-agents-conversational/chatbot-design-implementation.js",
    "specialization": "ai-agents-conversational",
    "references": [
      "- Rasa Documentation: https://rasa.com/docs/\n- Botpress: https://botpress.com/docs\n- Dialogflow: https://cloud.google.com/dialogflow/docs\n- Conversation Design: https://designguidelines.withgoogle.com/conversation/"
    ],
    "example": "const result = await orchestrate('specializations/ai-agents-conversational/chatbot-design-implementation', {\n  chatbotName: 'customer-support-bot',\n  purpose: 'Handle customer inquiries and support tickets',\n  channels: ['web', 'slack', 'whatsapp'],\n  nluApproach: 'llm-based',\n  framework: 'rasa'\n});",
    "usesAgents": [
      "chatbot-designer",
      "nlu-developer",
      "dialogue-developer",
      "nlg-developer",
      "deployment-specialist"
    ],
    "usesSkills": [
      "dialogue-flow-templates",
      "entity-extraction-templates"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:ai-agents-conversational--chatbot-design-implementation",
      "to": "domain:software-engineering",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--chatbot-design-implementation",
      "to": "workflow:architecture-decision-record",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--chatbot-design-implementation",
      "to": "specialization:ai-agents-conversational",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}