CrewAI Callback Functions - What You Need to Know

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AI Summary

Callback Functions in CREY Projects

• Introduction
  • Importance of callback functions for complex projects
  • Enhances project capabilities
• Task Attributes
  • Required: agent, expected output
  • Optional: tools
  • Callback function: executed after task completion
• Tools vs. Callbacks
  • Tools: extend agent capacity for better performance
  • Callbacks: actions triggered after task completion
• Implementation Example
  • Code includes callback=on_task_complete for research, analysis, and writing tasks
  • on_task_complete function writes task results to a file
• Use Cases
  • Marking data as processed in a CSV
  • Executing database queries
  • Saving results to a text file for later analysis or reference
• Advantages
  • Callbacks do not affect token limits for LLMs
  • Facilitates more complex and automated projects
• Conclusion
  • Encouragement to use CREY framework for project improvement
  • Offer for one-on-one guidance via a free video call
• Call to Action
  • Link in the description for booking a one-on-one session