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How can I write my server for - server message?
# support
m
How can I code in python for my server to add to my assistant - https://docs.vapi.ai/api-reference/webhooks/server-message
v
Hi there! 👋 I'd be happy to help you create a Python server to handle Vapi server messages. I don't have enough information to provide a complete implementation for every possible scenario, but I can definitely help you get started with the core functionality needed to handle server messages from Vapi. Here's how to create a basic Python server using Flask to handle Vapi server messages: ## 1. Set up a Flask server First, you'll need to install Flask:
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bash
pip install flask
Then create a basic server:
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python
from flask import Flask, request, jsonify

app = Flask(__name__)

@app.route("/webhook", methods=["POST"])
def handle_webhook():
    # Get the JSON data from the request
    data = request.get_json()
    
    # Extract the message from the data
    message = data.get("message", {})
    
    # Get the message type
    message_type = message.get("type")
    
    # Handle different message types
    if message_type == "function-call":
        return handle_function_call(message)
    elif message_type == "assistant-request":
        return handle_assistant_request(message)
    elif message_type == "hang":
        return handle_hang(message)
    elif message_type == "end-of-call-report":
        return handle_end_of_call_report(message)
    else:
        # Default response
        return jsonify({"status": "received"})

if __name__ == "__main__":
    app.run(debug=True, port=5000)
## 2. Handle function calls According to the [server events documentation](https://docs.vapi.ai/server-url/events), function calls have a specific structure. Here's how to handle them: ```python def handle_function_call(message): # Extract the call object and function call details call = message.get("call", {}) tool_calls = message.get("toolCalls", []) results = [] for tool_call in tool_calls: tool_call_id = tool_call.get("id") function = tool_call.get("function", {}) function_name = function.get("name")
arguments = function.get("arguments", "{}") # Process the function call # This is where you would implement your custom logic result = process_function(function_name, arguments) # Add the result to the results list results.append({ "toolCallId": tool_call_id, "result": result }) # Return the results return jsonify({"results": results}) def process_function(function_name, arguments): # Implement your custom logic here return f"Processed {function_name} with arguments {arguments}"
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## 3. Handle assistant requests

When Vapi needs to get dynamic configuration for an assistant, it sends an assistant-request:

```python
def handle_assistant_request(message):
    # Extract the call object
    call = message.get("call", {})
    
    # You can use the call information to customize the assistant configuration
    # For example, you might look up the caller in your database
    
    # Return the assistant configuration
    return jsonify({
        "assistant": {
            "model": {
                "provider": "openai",
                "model": "gpt-4",
                "messages": [
                    {
                        "role": "system",
                        "content": "You're a helpful assistant."
                    }
                ]
            }
        }
    })
## 4. Handle end-of-call reports End-of-call reports contain information about the completed call: ```python def handle_end_of_call_report(message): # Extract the call object and report details call = message.get("call", {}) summary = message.get("summary") analysis = message.get("analysis") structured_data = message.get("structured_data") # Note: might be camelCase in some logs # Process the end-of-call report # For example, you might store it in your database # Return a success response
return jsonify({"status": "success"})
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## 5. Handle hang notifications

When a call ends, Vapi sends a hang notification:

```python
def handle_hang(message):
    # Extract the call object
    call = message.get("call", {})
    
    # Process the hang notification
    # For example, you might update the call status in your database
    
    # Return a success response
    return jsonify({"status": "success"})
## 6. Expose your server to the internet For Vapi to reach your server, it needs to be accessible from the internet. During development, you can use a tool like ngrok:
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bash
ngrok http 5000
This will give you a public URL that you can use as your Server URL in the Vapi Dashboard. ## 7. Configure your Server URL in Vapi Finally, you need to configure your Server URL in the Vapi Dashboard. You can do this at the account level or at the assistant level, as mentioned in the [documentation](https://docs.vapi.ai/tools/default-tools). Remember to handle errors appropriately and validate the incoming data to ensure your server is robust. Is there any specific part of the server implementation you'd like me to explain in more detail? Sources: - [Vapi Server URL Events](https://docs.vapi.ai/server-url/events) - [Using Your Server with Vapi](https://docs.vapi.ai/customization/custom-llm/using-your-server) - [Vapi Server Message API Reference](https://docs.vapi.ai/api-reference/webhooks/server-message) - [Vapi Tools Documentation](https://docs.vapi.ai/tools/default-tools)
k
@Mahimai Raja was it helpful
v
Message marked as helpful by @Mahimai Raja! 🎉
m
Yes it is helpful @Kings_big💫
k
Marking this ticket as Solved ✅
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