Step 1: Setup Your Authorization
To initiate a batch call, you must first authenticate your request. Ensure you have your API key from signing up on the developer portal.
Step 2: Create the Base Prompt
Craft a base prompt that will be common across all calls in the batch. Use placeholders {{curly braces}}
for dynamic content.
Example:
Step 3: Define the Call Data
Specify the list of calls in the call_data
array. Each call must have a phone_number
and can include other properties corresponding to placeholders in your base prompt.
Example:
Step 4: Additional Configuration
label
: Assign a label to your batch for easy tracking.campaign_id
: Organize related batches under a campaign.test_mode
: Set to true for testing with the first call only.batch_id
: Manually set or auto-generated for tracking.Voice and Language Settings: Select
voice_id
,reduce_latency
, andlanguage
.request_data
: Include specific facts for the AI to know during the call.webook
: For real-time notifications and transcripts post-call.max_duration
: Define the maximum length of each call.amd
: Enable for navigating phone trees or leaving voicemails.wait_for_greeting
: Control if the AI speaks immediately or waits.
Step 5: Send the API Request
Use the provided JavaScript or Python code snippet to make the API request.
Step 6: Handle the Response
After sending the batch request, you’ll receive a response with a message
and the batch_id
. Monitor the progress of your calls and any responses via your specified webhook.
Here’s what an example response might look like:
Step 7: Monitoring and Analytics
Track the performance and outcomes of your batch calls through the provided batch_id
and campaign analytics. Adjust future batches based on the insights gained.