II.
LibraryProcess overview
Reference · livelib-process:ai-agents-conversational--chatbot-design-implementation
chatbot-design-implementation overview
Chatbot Design and Implementation - Comprehensive process for designing and implementing chatbots including conversation flow design, intent/entity recognition, dialogue management, and multi-channel deployment.
Attributes
displayName
chatbot-design-implementation
description
Chatbot Design and Implementation - Comprehensive process for designing and implementing chatbots including
conversation 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/ - Botpress: https://botpress.com/docs - Dialogflow: https://cloud.google.com/dialogflow/docs - Conversation Design: https://designguidelines.withgoogle.com/conversation/
example
const result = await orchestrate('specializations/ai-agents-conversational/chatbot-design-implementation', {
chatbotName: 'customer-support-bot',
purpose: 'Handle customer inquiries and support tickets',
channels: ['web', 'slack', 'whatsapp'],
nluApproach: 'llm-based',
framework: 'rasa'
});
usesAgents
- chatbot-designer
- nlu-developer
- dialogue-developer
- nlg-developer
- deployment-specialist
usesSkills
- dialogue-flow-templates
- entity-extraction-templates
Outgoing edges
lib_applies_to_domain1
- domain:software-engineering·DomainSoftware Engineering
lib_belongs_to_specialization1
- specialization:ai-agents-conversational·Specialization
lib_implements_workflow1
- workflow:architecture-decision-record·WorkflowArchitecture Decision Record
Incoming edges
None.