Tools in Teams AI Library

To achieve intent detection and call specific functions based on that in Teams AI Library, you can follow these steps: Use the built-in natural language understanding (NLU) capabilities or integrate an intent recognition model to analyze user queries. Based on the detected intent, write conditional logic in your bot code to call the appropriate function or tool. Although Teams AI Library doesn't have DynamicTool like classes, you can implement a custom intent-to-function mapping inside your bot handlers. Check for updates or community samples regularly, as advanced routing features may be added soon. In short, use intent detection outside the library, then route calls programmatically in your Teams bot based on that intent.