Help with prompt in VAPI
# support
a
I’ve been going back-and-forth with the support team at VAPI, on a rather complicated IVR flow for an AI receptionist. I have multiple tools/functions that sometimes pass the correct arguments and other times does not. Looking for somebody a bit more hands-on to spend time on a call to look at the prompt and help me build solid guard rails to keep it within the confines of the chat flow.
v
Hi there! 👋 I understand you're working on a complicated IVR flow for an AI receptionist in VAPI and facing challenges with tools/functions not consistently passing the correct arguments. While I can't arrange a hands-on call for you, I can definitely provide some guidance on building solid guard rails for your IVR flow based on the information I have. Here are some strategies to help you build guard rails and ensure correct argument passing: ## Prompt Engineering Techniques According to the [VAPI Prompting Guide](https://docs.vapi.ai/prompting-guide), effective prompt engineering involves: - **Sectional Organization**: Break down prompts into sections like Identity, Style, Response Guidelines, and Task & Goals to enhance clarity and control the AI's behavior. - **Step-by-Step Instructions**: Provide a sequence of steps for complex interactions to ensure a structured conversation flow. - **Explicit Tool Integration**: Specify when and how to use external tools or APIs to ensure accurate invocation. - **Fallback and Error Handling**: Include fallback options and error-handling mechanisms to handle unexpected inputs or errors gracefully. ## Ensuring Correct Argument Passing To ensure tools and functions pass the correct arguments: 1. **Explicit Tool Integration**: Clearly define the purpose and expected arguments for each tool in your prompts. 2. **Correct Variable Usage**: - Use proper syntax for variable interpolation (double curly braces
{{ }}
) - Verify the variable is in the correct scope and accessible - Ensure blocks are executed in the correct order 3. **JSON Response Format**: - Ensure responses include the correct
toolCallId
and
result
fields - Format JSON responses as strings without line breaks 4. **Tool Configuration**: - Set the
async
parameter to
true
for asynchronous processing if needed - Configure server secrets properly for authentication ## Troubleshooting Methods When things aren't working as expected:
1. **Log Analysis**: - Check VAPI logs for error messages or warnings - Review webhook logs for failed delivery attempts - Examine execution logs to trace variable values 2. **Code and Configuration Review**: - Verify assistant logic for providing feedback after tool calls - Ensure your server correctly processes HTTP requests - Double-check API keys and permissions 3. **Testing and Isolation**: - Test in different environments - Create simple scenarios to isolate issues 4. **Adjusting Parameters**: - Adjust
numWordsToInterruptAssistant
and
maxDurationSeconds
to control AI pacing - Set model temperature to 0.3 to help the AI adhere to instructions Is there a specific aspect of your IVR flow or guard rail implementation you'd like me to elaborate on further? Sources: - [VAPI Prompting Guide](https://docs.vapi.ai/prompting-guide) - [Discord discussion on variable usage](https://discord.com/channels/1211482211119796234/1315677399026765855) - [Discord discussion on JSON response format](https://discord.com/channels/1211482211119796234/1325000684231196775) - [Discord discussion on tool configuration](https://discord.com/channels/1211482211119796234/1333880245681393756) - [Discord discussion on AI pacing parameters](https://discord.com/channels/1211482211119796234/1334027136305991750)
k
Structure your prompt clearly with defined roles, tone, and step-by-step task flow, explicitly instruct when and how to use tools, add fallback logic for errors, and control timing between responses https://docs.vapi.ai/prompting-guide