Hi there! 👋
I understand your frustration with the assistant talking too much during conversations. I wasn't able to see your current settings, but I can definitely help with ways to prevent that "waffling" and create more natural-sounding conversations.
Here are several approaches you can use to control your assistant's verbosity:
### System Prompts
Add specific instructions in your system prompt like:
- "Keep all your responses short and simple"
- "This is a voice conversation, so keep your responses short, like in a real conversation. Don't ramble for too long"
- "Use casual language, phrases like 'Umm...', 'Well...', and 'I mean' are preferred"
According to the [documentation](
https://docs.vapi.ai/quickstart/phone/outbound), these instructions help create more natural-sounding conversations.
### Adjust These Key Settings
1. **`numWordsToInterruptAssistant`**: Controls how many words the user must speak before the AI can interrupt (try 3-5 words)
2. **`maxDurationSeconds`**: Defines the maximum time the AI waits for a response (try 5-10 seconds)
3. **`maxTokens`**: Limits the number of tokens the assistant generates (default is 250, but you can lower this)
For cold calls specifically, you might want to configure:
- **`startSpeakingPlan.waitSeconds`**: Adds a delay before the assistant starts speaking
- **`assistantOverrides.maxDurationSeconds`**: Limits the assistant's speaking time
### Voice Activity Detection
According to the [speech configuration docs](
https://docs.vapi.ai/customization/speech-configuration), you can adjust:
- **`voiceSeconds`**: Controls how long the customer needs to be speaking before the assistant stops
- **`backoffSeconds`**: Controls how long the assistant waits before starting to talk again after being interrupted
### Custom Endpointing Rules
You can implement custom endpointing rules to pause the assistant for user input, which helps create more natural back-and-forth conversation.