Arcu
05/23/2024, 2:13 PMVapi Support
05/23/2024, 2:13 PMVapi Support
05/23/2024, 2:13 PMserverUrl which the assistant will call. The response from this URL should return data in a format that the assistant can interpret and utilize within the conversation. Here’s a brief guide on how you can implement this:
1. **Define the Function**: Define your custom function in the assistant's configuration, specifying the necessary parameters and the serverUrl.
2. **Handle the Function Call**: On your server, handle the incoming function call, perform the required operations, and prepare the data you want to return to the assistant.
3. **Respond Correctly**: Send the data back as a JSON object within the HTTP response body. The assistant will use this data as part of the conversation flow according to your setup.
Here is an example of how you might configure a function within the assistant's settings:
json
{
"functions": [
{
"name": "fetchUserData",
"description": "Fetches user data based on userId",
"parameters": {
"type": "object",
"properties": {
"userId": {
"type": "string",
"description": "The ID of the user"
}
}
}
}
]
}
[(1)]()
And ensure your server handling the serverUrl endpoint can parse incoming requests, perform logic, and return a response like:
json
{
"userData": {
"name": "John Doe",
"membershipLevel": "Gold"
}
}Vapi Support
05/23/2024, 2:13 PMuserData object in its conversation logic, based on how you have set it to interpret incoming data.
Make sure to test the integration thoroughly to ensure the data flows correctly and the assistant behaves as expected in response to the function outputs. If you encounter any issues, checking the server logs and the response structure would be advisable.Arcu
05/23/2024, 2:14 PMVapi Support
05/23/2024, 2:16 PMSahil
05/23/2024, 2:19 PMArcu
05/23/2024, 2:27 PM