Best CrewAI Approach for Building a Ticketing Chatbot with API Workflows

CrewAI Community Support
1

I want to build an AI chatbot using CrewAI to handle ticketing tasks via API interactions:

  1. Update Ticket
  2. Create a New Ticket
  3. Close Ticket
  4. Fetch Ticket Details

Workflow:

  1. Receive user question
  2. Classify user intent and route to the correct CrewAI Flow
  3. Generate API request using user query, API schema, and few-shot examples
  4. Trigger API request and fetch response
  5. Generate a response for the user

Since tasks are workflow-oriented and interdependent, I plan to use CrewAI Flows for structured execution. Additionally, memory, state management, and caching are crucial for seamless conversation handling.

Key Considerations:

  • Implement custom tools & functions for API interactions
  • Maintain chatbot memory & state for continuity
  • Ensure robust error handling & logging

What is the best CrewAI implementation strategy for achieving this? Any best practices or guidelines would be appreciated!