how to achieve lower latency than the current 1850 ms. asistant id 1a69a985-8942-4c59-81c2-4ee7fd6b30ad

To achieve lower latency than your current 1850 ms, you can implement several best practices and optimizations in your voice AI application using the Vapi platform: 1. **Network Optimization**: - Use a Content Delivery Network (CDN) with edge locations close to your users to minimize physical distance and network hops. - Ensure your traffic is routed through the closest available data center to reduce latency, especially for international communication. 2. **Server Configuration**: - Deploy high-performance servers that are updated with the latest software versions and configured for optimal settings to handle requests efficiently. - Implement load balancing to distribute traffic across multiple servers, preventing any single server from becoming a bottleneck. 3. **Application Optimization**: - Optimize your code to remove inefficiencies and unnecessary delays. Efficient code execution can significantly reduce processing time. - Use real-time communication protocols like WebRTC or WebSocket, which are designed for low-latency data transfer. 4. **Audio and Data Management**: - Implement audio compression techniques that balance compression and quality, reducing transmission time while maintaining audio integrity. - Leverage advanced streaming protocols and optimized data handling mechanisms to ensure smooth data flow. 5. **Monitoring and Testing**: - Conduct load testing under various conditions to identify and rectify latency issues. - Use monitoring tools to continuously track latency and performance, allowing you to identify bottlenecks and areas for improvement. By following these strategies, you can significantly enhance the responsiveness of your voice AI application and achieve lower latency. If you have any specific areas you'd like to focus on, let me know! 😊 Sources:

1850 is for web, but if I use twilio romanian phone number latency goes to 2350

To reduce latency when using a Twilio Romanian phone number, you can consider the following strategies in addition to the previous suggestions: 1. **Optimize Network Path**: - Ensure that your Twilio setup is configured to use the closest available Twilio data center. This can help minimize the distance that voice data needs to travel. 2. **Use Local Twilio Numbers**: - If possible, use local Twilio numbers that are geographically closer to your users. This can help reduce latency by minimizing the number of network hops. 3. **Evaluate Twilio's Voice Settings**: - Check Twilio's voice settings and configurations to ensure they are optimized for low latency. This includes using the appropriate codecs and settings for your specific use case. 4. **Test Different Providers**: - If latency remains an issue, consider testing other telephony providers or services that may offer better performance for your specific region. 5. **Monitor and Analyze**: - Continuously monitor the latency and performance of your voice interactions. Use analytics tools to identify any bottlenecks or areas for improvement. By implementing these additional strategies, you should be able to further reduce latency when using Twilio for voice interactions. If you have any specific configurations or setups you'd like to discuss, feel free to share! 😊 Sources: - [Best Practices for Reducing Latency in Voice AI Applications Using Vapi](https://discord.com/channels/1211482211119796234/1211483291191083018/1336685825227755591) - [Optimizing Voice AI Agents for Lower Latency](https://docs.vapi.ai/providers/voice/elevenlabs) - [Minimizing Latency in Vapi Platform for Voice Interactions](https://discord.com/channels/1211482211119796234/1211483291191083018/1336685825227755591)

latency is too big both on twilio and on web

@Gabriela Macovei could you please provide me with some brief of call conversations and call flows? This will help me understand how calls are typically structured and, if possible, suggest some improvements.