creamy-match-85520
08/05/2025, 5:53 AMtall-airline-16756
08/05/2025, 5:54 AMtall-airline-16756
08/05/2025, 5:54 AM@function_tool decorator to make the function callable by the agent. Ensure it is asynchronous and returns appropriate values.
2. Register the function: Add the function to the agent's tools using agent.update_tools().
3. Set up instructions: Provide explicit instructions to the agent to call the function after each line.
4. Implement the agent: Create an agent class with the function and include necessary components like STT, LLM, and TTS.
5. Run the session: Start the agent session and connect it to the room.
Let me know if you need further details or assistance with implementation!
Sources: tool_calling/update_tools.pycreamy-match-85520
08/05/2025, 5:58 AMtall-airline-16756
08/05/2025, 5:58 AMmin_endpointing_delay and max_endpointing_delay) are set up just right to catch sentence boundaries properly.
• Function Execution Timing: Make sure the agent’s state changes and asynchronous function calls are happening smoothly as expected.
• Tool Execution and Callbacks: Take a look to see if the function’s callbacks are firing correctly without any hiccups or errors.
Trying out different sentence lengths and speaking styles can also give clues about what’s causing the issue. If you want, I’m here to help you tweak these settings or dig deeper into troubleshooting—just let me know!
Sources: How does end-of-utterance detection work in conversations? | livekit-agents/livekit/agents/voice/agent_activity.py