@Vapi Hi, how to make my tool calls more consistent ? Sometimes it does them, sometimes not. I'm even obliged to say orally to the assistant "Use the reserveTable function to send the informations" for it to do it. How to fix such an issue ?

@uthmvn Hello! To ensure your tool calls are more consistent, it's important to make sure that the commands you're using are clear and that the system is correctly interpreting your intentions. Here are a few tips to help with consistency: 1. **Use Clear and Specific Commands**: Make sure your voice commands are clear, specific, and use the exact names of the functions or tools you want to trigger. 2. **Check for Recognition Errors**: Sometimes, voice recognition might not accurately capture your command. You can check the system logs to see what was understood and adjust your pronunciation or phrasing accordingly. 3. **Update Your System**: Ensure that your VAPI system is up-to-date with the latest software updates, which might include improvements to voice recognition and command execution. 4. **Consistent Context**: Provide consistent context when issuing commands. If you're using specific terms or phrases, use them consistently each time you make a request. 5. **Training**: If your system supports it, you can train the voice recognition model with your voice and phrasing to improve accuracy. If you're still experiencing issues, it might be helpful to look into any logs or error messages that occur when a tool call fails. This can provide insight into what might be going wrong. Would you like me to check for any specific issues or errors in your recent tool usage that might be causing inconsistency?

@Vapi I should not have to tell the agent to execute a function with my voice. In a real-world situation, the customer wouldn't event know the name of the functions (tools). Then, how to make the tools execute automately and execute the server Url ?

@uthmvn Absolutely, in a real-world scenario, the customer interacts with the system using natural language, and it's the system's responsibility to interpret the intent and execute the appropriate functions automatically. To achieve this, the system would typically include a layer of natural language understanding (NLU) that processes the user's request, identifies the intent, and triggers the relevant tools or functions without the user needing to know their names. For executing tools automatically, you would: 1. **Implement Intent Recognition**: Use NLU to determine what the user wants to do based on their request. 2. **Map Intents to Functions**: Once the intent is recognized, map it to the corresponding function or tool that needs to be executed. 3. **Execute Functions**: The system then automatically calls the necessary functions with the appropriate parameters. 4. **Handle Server URLs**: If the intent requires interacting with a server, the system would construct the necessary HTTP request and handle the communication with the server URL in the background. For example, if a user wants to retrieve data, they might say "What's the latest update on my ticket?" The system would recognize this as a query intent, and then it could automatically call a function like

get_data

with the user's question as a parameter. If you need to execute a server URL, you would typically have a function that handles HTTP requests, which would be called with the server URL and any necessary parameters or payload. Would you like to proceed with a specific request or action that I can assist you with?