### Answer When you encounter an "endpoint test failed" error with Vapi, it can result from several factors: 1. **Incorrect Response Format**: Ensure the response your server sends back matches the expected format specified by Vapi. For instance, Vapi expects a JSON object containing specific fields like

results

and

toolCallId

in function calls [(1)]() .

json
    {
      "results": [
        {
          "toolCallId": "X",
          "result": "Y"
        }
      ]
    }

2. **Server URL Accessibility**: Ensure your Render.com server is publicly accessible and can handle incoming POST requests from Vapi. The server URL must be a publicly accessible HTTP endpoint [(2)]() . 3. **Payload Structure**: Double-check the payload structure being sent to your function. Vapi sends specific types of messages to your server, including

function-call

types. Your server must be able to parse and handle these messages correctly [(3)]() . 4. **Debugging**: Use tools like Ngrok to expose your local development server and test the endpoint with Vapi. This can help you debug and ensure that all configurations are correct [(4)]() . If you still face issues, you might want to check the detailed server response expected by Vapi and ensure your implementations align with those requirements [(1)]() .

----------------------------- **While I generate an answer, here are some sources that might be helpful**: * [Server URLs]() * [Server Events]() * [Tools Calling]() * [Connecting Your Custom LLM to Vapi: A Comprehensive Guide]() -----------------------------

### Answer There is no specific issue with hosting functions on Render.com for use with Vapi, as long as your server meets the following criteria: 1. **Public Accessibility**: Ensure your Render.com server can be accessed publicly via the Internet. 2. **Correct Response Format**: Ensure your server responds with the correct JSON format as expected by Vapi [(1)]() [(2)]() . If these conditions are met, your functions should work correctly with Vapi. If you encounter issues, it might be related to specific configurations or the payload structure.

this is how i test in the endpoint and i got an error " { "nom": "a" }" in postman it works, but in endpoint test no, it give test failure.

----------------------------- **While I generate an answer, here are some sources that might be helpful**: * [Connecting Your Custom LLM to Vapi: A Comprehensive Guide]() * [Call Ended Reason]() * [Glossary]() * [Custom LLM]() -----------------------------

### Answer To address the issue with the endpoint test failure, consider the following steps: 1. **Response Structure**: Ensure your server's response matches Vapi's expected format. Vapi generally expects a specific structure for function calls. Double-check that your response includes the required fields in the correct format. Example response format for Vapi:

json
    {
      "results": [
        {
          "toolCallId": "<your-tool-call-id>",
          "result": "Expected result here"
        }
      ]
    }

2. **Server URL Accessibility**: Make sure that your server hosted on Render.com is publicly accessible and can handle incoming POST requests from Vapi. The URL should be correctly configured to accept and process requests without restrictions. 3. **Payload Consistency**: Ensure that the payload structure sent by Vapi matches what your endpoint is expecting. You can log the incoming request on your server to verify that the payload received from Vapi is correct and complete. 4. **Debugging with Ngrok**: During development, using tools like Ngrok can help debug issues by exposing your local server to the internet and allowing you to test the endpoint with Vapi, ensuring all configurations are correct [(1)]() . If these steps don't resolve the issue, verify the details of your setup and ensure your server logic aligns with Vapi's requirements. : [Developing Locally]()

----------------------------- **While I generate an answer, here are some sources that might be helpful**: * [Creating Custom Knowledge Bases for Your Voice AI Assistants]() * [Connecting Your Custom LLM to Vapi: A Comprehensive Guide]() * [Tools Calling]() * [Server Events]() -----------------------------

### Answer The response your function returns, which includes the message

"Vous avez été ajouté avec succès dans notre base de données."

, does not match the expected format required by Vapi. To resolve this issue, ensure your response conforms to the JSON structure Vapi expects. For example, if you're handling a tool call, your response should look like this:

json
{
  "results": [
    {
      "toolCallId": "<your-tool-call-id>",
      "result": "Vous avez été ajouté avec succès dans notre base de données."
    }
  ]
}

Be sure to replace

<your-tool-call-id>

with the appropriate ID from the request Vapi sends to your server [(1)]() , [(2)]() . Ensure your endpoint implements this structure correctly to pass the Vapi endpoint test.

----------------------------- **While I generate an answer, here are some sources that might be helpful**: * [Tools Calling]() * [Web Calling]() * [Update Assistant]() * [Function Calling]() -----------------------------

### Answer Yes, you should modify your function's response to match the format expected by Vapi and then re-host it on Render.com. The expected response format should include the

results

array and `toolCallId`:

json
{
  "results": [
    {
      "toolCallId": "<your-tool-call-id>",
      "result": "Vous avez été ajouté avec succès dans notre base de données."
    }
  ]
}

Ensure that your function generates this structure and re-deploy it. This should resolve the endpoint test failure issue you are encountering. For more details on how to structure the function call response and other relevant information, you can refer to the [Tools Calling documentation]() [(1)]() .

----------------------------- **While I generate an answer, here are some sources that might be helpful**: * [Tools Calling]() * [Function Calling]() * [Server Events]() * [Connecting Your Custom LLM to Vapi: A Comprehensive Guide]() -----------------------------

### Answer To modify your Python function to return the expected response format for Vapi, follow the steps below. This ensures your function includes the

results

array and `toolCallId`: 1. Extract the

toolCallId

from the request data. 2. Structure the return JSON to include

results

and

toolCallId

. Here's an example of how you can adjust your function:

python
def handle_patient_request(request_data):
    patient = request_data['patient']
    tool_call_id = request_data['toolCallId']  # Extract the toolCallId from the incoming request

    if patient.nom in colonne_noms:
        return {
            "results": [
                {
                    "toolCallId": tool_call_id,
                    "result": "Vous êtes déjà notre patient."
                }
            ]
        }
    else:
        nouveau_patient = [patient.nom]
        feuille_patients.append_row(nouveau_patient)
        return {
            "results": [
                {
                    "toolCallId": tool_call_id,
                    "result": "Vous avez été ajouté avec succès dans notre base de données."
                }
            ]
        }

Ensure that your function is correctly extracting

toolCallId

from the incoming request data and formatting the response accordingly. Re-deploy this modified version to Render.com. For further details on the expected response format, you can refer to the [Vapi Tools Calling documentation]() [(1)]() .

----------------------------- **While I generate an answer, here are some sources that might be helpful**: * [Tools Calling]() * [Web Calling]() * [List Calls]() * [Function Calling]() -----------------------------

### Answer To obtain the

toolCallId

when using custom functions in Vapi, you can follow these steps: 1. **Extract

toolCallId

from the Incoming Request**: When Vapi makes a request to your server to call the custom function, it includes a unique

toolCallId

in the request payload. Ensure your server extracts this ID to include in the response. 2. **Modify Your Function to Include the `toolCallId`**: Update your Python function to extract the

toolCallId

from the incoming request and include it in the response. Here's an example of how you can modify your function:

python
def handle_patient_request(request_data):
    patient = request_data['patient']
    tool_call_id = request_data['toolCallId']  # Extract the toolCallId from the incoming request

    if patient.nom in colonne_noms:
        return {
            "results": [
                {
                    "toolCallId": tool_call_id,
                    "result": "Vous êtes déjà notre patient."
                }
            ]
        }
    else:
        nouveau_patient = [patient.nom]
        feuille_patients.append_row(nouveau_patient)
        return {
            "results": [
                {
                    "toolCallId": tool_call_id,
                    "result": "Vous avez été ajouté avec succès dans notre base de données."
                }
            ]
        }

By ensuring your function's response includes the

toolCallId

, you align with Vapi's expected response format, which should resolve the endpoint test failure. For further reference, you can review the details on how to structure responses in the [Tools Calling documentation]() [(1)]() .