#how would I turn this into proper json code in my bubble.io app: conversation_configobjectRequire

1 messages · Page 1 of 1 (latest)

limpid bloomBOT
#
AI-generated Answer for sack5539

To convert the given structure into proper JSON code for your Bubble.io app, you need to represent each component as a JSON object. Here's an example based on the provided structure:

{
  "conversation_config": {
    "agent": {
      "prompt": {
        "prompt": "Your prompt here",
        "llm": "gpt-4o-mini",
        "temperature": 0,
        "max_tokens": -1
      },
      "tools": [
        {
          "type": "webhook",
          "api_schema": {
            "url": "https://your-webhook-url.com",
            "method": "GET",
            "path_params_schema": {
              "type": "string",
              "description": "Description of the path parameter"
            },
            "query_params_schema": {},
            "request_body_schema": {},
            "request_headers": {
              "description": "Header description",
              "name": "Header-Name"
            }
          }
        }
      ]
    }
  }
}

Key Points:

  • Prompt: Replace "Your prompt here" with the actual prompt you want to use.
  • LLM: Choose the appropriate model from the list provided.
  • Temperature and Max Tokens: Set these values as needed.
  • Webhook: Update the url with your actual webhook URL and adjust other properties as required.

This JSON structure should be adapted to fit the specific requirements and data of your application.

unique ice
#

Mix it with this: {
"conversation_config": {
"agent": {
"prompt": {
"prompt": "<Prompt>"
},
"first_message": "<First_message>"
},
"asr": {
"quality": "high",
"provider": "elevenlabs",
"user_input_audio_format": "pcm_16000"
},
"turn": {
"turn_timeout": 7,
"mode": "turn"
},
"tts": {
"model_id": "eleven_turbo_v2",
"voice_id": "cjVigY5qzO86Huf0OWal",
"agent_output_audio_format": "pcm_16000",
"optimize_streaming_latency": 3,
"stability": 0.5,
"similarity_boost": 0.8
},
"conversation": {
"max_duration_seconds": 600
}
},
"platform_settings": {
"auth": {
"enable_auth": false
},
"widget": {
"variant": "full",
"avatar": {
"type": "orb",
"color_1": "#2792dc",
"color_2": "#9ce6e6"
},
"bg_color": "#ffffff",
"text_color": "#000000",
"btn_color": "#000000",
"btn_text_color": "#ffffff",
"border_color": "#e1e1e1",
"focus_color": "#000000"
}
},
"name": "<Name>"
}

limpid bloomBOT
#
AI-generated Answer for sack5539

To create a proper JSON configuration for your Bubble.io app, you can combine the provided details into a structured JSON object. Here's how you can format it:

{
    "conversation_config": {
        "agent": {
            "prompt": {
                "prompt": "<Prompt>",
                "llm": "gemini-1.5-flash",  // Choose from available options
                "temperature": 0,  // Default value
                "max_tokens": -1  // Default value
            },
            "first_message": "<First_message>"
        },
        "asr": {
            "quality": "high",
            "provider": "elevenlabs",
            "user_input_audio_format": "pcm_16000"
        },
        "turn": {
            "turn_timeout": 7,
            "mode": "turn"
        },
        "tts": {
            "model_id": "eleven_turbo_v2",
            "voice_id": "cjVigY5qzO86Huf0OWal",
            "agent_output_audio_format": "pcm_16000",
            "optimize_streaming_latency": 3,
            "stability": 0.5,
            "similarity_boost": 0.8
        },
        "conversation": {
            "max_duration_seconds": 600
        }
    },
    "platform_settings": {
        "auth": {
            "enable_auth": false
        },
        "widget": {
            "variant": "full",
            "avatar": {
                "type": "orb",
                "color_1": "#2792dc",
                "color_2": "#9ce6e6"
            },
            "bg_color": "#ffffff",
            "text_color": "#000000",
            "btn_color": "#000000",
            "btn_text_color": "#ffffff",
            "border_color": "#e1e1e1",
            "focus_color": "#000000"
        }
    },
    "name": "<Name>"
}

Make sure to replace <Prompt>, <First_message>, and <Name> with your actual values. Adjust the llm field to one of the available options if needed.

unique ice
#

How about setting up tools as well, we want to add a webhook

limpid bloomBOT
#
AI-generated Answer for sack5539

To integrate a webhook tool into your JSON configuration, you can add it to the tools list within the conversation_config. Here's how you can structure the JSON:

{
    "conversation_config": {
        "agent": {
            "prompt": {
                "prompt": "<Prompt>"
            },
            "first_message": "<First_message>"
        },
        "asr": {
            "quality": "high",
            "provider": "elevenlabs",
            "user_input_audio_format": "pcm_16000"
        },
        "turn": {
            "turn_timeout": 7,
            "mode": "turn"
        },
        "tts": {
            "model_id": "eleven_turbo_v2",
            "voice_id": "cjVigY5qzO86Huf0OWal",
            "agent_output_audio_format": "pcm_16000",
            "optimize_streaming_latency": 3,
            "stability": 0.5,
            "similarity_boost": 0.8
        },
        "conversation": {
            "max_duration_seconds": 600
        },
        "tools": [
            {
                "type": "webhook",
                "api_schema": {
                    "url": "<Your_Webhook_URL>",
                    "method": "POST",
                    "path_params_schema": {
                        "type": "string",
                        "description": "Description of the path parameter"
                    },
                    "query_params_schema": {
                        "type": "object",
                        "properties": {
                            "param1": {
                                "type": "string",
                                "description": "Description of query parameter"
                            }
                        }
                    },
                    "request_body_schema": {
                        "type": "object",
                        "properties": {
                            "key1": {
                                "type": "string",
                                "description": "Description of request body key"
                            }
                        }
                    },
                    "request_headers": {
                        "Content-Type": "application/json"
                    }
                }
            }
        ]
    },
    "platform_settings": {
        "auth": {
            "enable_auth": false
        },
        "widget": {
            "variant": "full",
            "avatar": {
                "type": "orb",
                "color_1": "#2792dc",
                "color_2": "#9ce6e6"
            },
            "bg_color": "#ffffff",
            "text_color": "#000000",
            "btn_color": "#000000",
            "btn_text_color": "#ffffff",
            "border_color": "#e1e1e1",
            "focus_color": "#000000"
        }
    },
    "name": "<Name>"
}

Replace <Your_Webhook_URL>, <Prompt>, <First_message>, and <Name> with your actual values. Adjust the path_params_schema, query_params_schema, and request_body_schema as needed to fit your specific webhook requirements.

unique ice
#

I want to run an action once the call has ended , how do I know when it's ended

limpid bloomBOT
#
AI-generated Answer for sack5539

To run an action once a call has ended, you can set up a webhook to notify your application when the call is completed. This involves configuring a status callback URL that will receive updates about the call status.

Here's a basic example of how you might set this up using Twilio's API in Node.js:

const VoiceResponse = require('twilio').twiml.VoiceResponse;

app.post('/call/incoming', (_, res) => {
    const twiml = new VoiceResponse();
    twiml.connect().stream({ url: `wss://${process.env.SERVER_DOMAIN}/call/connection` });

    // Add statusCallback to handle call completion
    twiml.dial({
        statusCallback: 'https://your-server.com/call-status',
        statusCallbackEvent: ['completed'],
    });

    res.writeHead(200, { 'Content-Type': 'text/xml' });
    res.end(twiml.toString());
});

In this example, replace 'https://your-server.com/call-status' with the URL of your endpoint where you want to receive the call summary. This setup will ensure that your endpoint is notified when the call is completed, allowing you to process the call summary as needed.

unique ice
#

Please note I'm building in bubble.io, so I need it in that format

limpid bloomBOT
#
AI-generated Answer for sack5539

To run an action once a call has ended in Bubble.io, you can set up a webhook to notify your application when the call is completed. Here's a general approach to achieve this:

  1. Set Up a Webhook Endpoint: Create an API endpoint in your Bubble.io app that will receive the webhook notification. This endpoint will handle the data sent when the call ends.

  2. Configure the Webhook: In your call handling service (e.g., Twilio), configure the webhook to send a POST request to your Bubble.io endpoint when the call status changes to "completed."

  3. Process the Webhook Data: In your Bubble.io app, use the data received from the webhook to trigger the desired action. You can do this by setting up a workflow that runs when the API endpoint is hit.

Here's a basic JSON structure for adding a webhook tool in your configuration:

{
    "conversation_config": {
        "tools": [
            {
                "type": "webhook",
                "api_schema": {
                    "url": "https://your-bubble-app.com/api/1.1/wf/call-ended",
                    "method": "POST",
                    "description": "Webhook to trigger action when call ends"
                }
            }
        ]
    }
}

Replace "https://your-bubble-app.com/api/1.1/wf/call-ended" with the actual URL of your Bubble.io API endpoint. This setup will ensure that your Bubble.io app is notified when the call ends, allowing you to perform any necessary actions.

unique ice
#

I guess I'm confused on how I'll know when the call has ended to call that webhook I'm setting from elevenlabs agent?

limpid bloomBOT
#
AI-generated Answer for sack5539

To trigger an action, such as calling a webhook when a call ends in Bubble.io, you can use the statusCallback feature provided by Twilio. This allows you to specify a URL that Twilio will notify when the call status changes, including when it is completed.

Here's a general approach:

  1. Set Up Twilio Status Callback:

    • In your Twilio setup, specify a statusCallback URL. This is the endpoint that Twilio will notify when the call status changes. You can set this in the Twilio console or programmatically when initiating the call.

  2. Create an Endpoint in Bubble.io:

    • In your Bubble.io app, create an API endpoint that will handle the incoming request from Twilio. This endpoint will be triggered when the call ends.

  3. Handle the Callback:

    • In the API endpoint, you can define the actions to take once the call has ended. This could include calling a webhook or updating your database.

  4. Example Setup:

    • When setting up the call in Twilio, include the statusCallback parameter with the URL of your Bubble.io endpoint:
      {
  "statusCallback": "https://your-bubble-app.com/api/1.1/wf/call-status",
  "statusCallbackEvent": ["completed"]
}

  5. Process the Callback in Bubble.io:

    • In your Bubble.io workflow, configure the endpoint to process the data sent by Twilio. You can extract relevant information and perform actions like calling a webhook.

By following these steps, you can ensure that your Bubble.io app is notified when a call ends, allowing you to trigger the desired actions.

unique ice
#

But I'm using the 11 labs agent?

limpid bloomBOT
#
AI-generated Answer for sack5539

To trigger an action, such as calling a webhook when a call ends the ElevenLabs agent in Bubble.io, you can follow these general steps:

  1. Set Up a Webhook Endpoint: First, ensure you have a server or service that can receive webhook requests. This will be the endpoint where you want to send the call data once the call ends.

  2. Use Status Callbacks: If you're integrating with a service like Twilio, you can use the statusCallback parameter to specify a URL that will be notified when the call status changes. This URL should point to your webhook endpoint.

  3. Configure the Webhook in Bubble.io: In Bubble.io, you can set up an API workflow to handle incoming webhook requests. This involves creating an API endpoint in your Bubble app that can process the data sent by the webhook.

  4. Handle the Webhook Data: Once the call ends and the webhook is triggered, your Bubble.io app can process the data. You can use this data to perform any actions you need, such as updating a database, sending notifications, or logging the call details.

  5. Testing: Make sure to test the entire flow to ensure that the webhook is triggered correctly and that your Bubble.io app processes the data as expected.

If you are using ElevenLabs directly, ensure that the integration with your telephony provider supports status callbacks or similar mechanisms to notify you when a call ends.

lament field
#

hello,
i have 2 question,

  1. I am unable to add more than 5 tool webhook in conversation ai
  2. I am unsure how do i route the call using twilio, do i create a tool to route the call and mention in prompt or is other approach