Agents
Configure and list the real-time Conversational AI personas powering call automation workflows.
List Agents
Retrieve a list of all configured Voice Agents in the active workspace.
<div class="endpoint-path">
<span class="badge badge-get">GET</span>
<code>/v1/agents</code>
</div>
<h3>Authorizations</h3>
<div class="param-row">
<div class="param-name">X-API-Key</div>
<div class="param-badges">
<span class="badge-type">string</span>
<span class="badge-loc">header</span>
<span class="badge-req">required</span>
</div>
<div class="param-desc">Voice Platform authentication secret token key.</div>
</div>
<h3>Response</h3>
<span class="response-status-info">200 - application/json</span>
<div class="param-row">
<div class="param-name">id</div>
<div class="param-badges">
<span class="badge-type">string</span>
<span class="badge-req">required</span>
</div>
<div class="param-desc">Unique identifier of the agent.</div>
</div>
<div class="param-row">
<div class="param-name">name</div>
<div class="param-badges">
<span class="badge-type">string</span>
<span class="badge-req">required</span>
</div>
<div class="param-desc">Display name of the agent.</div>
</div>
<div class="param-row">
<div class="param-name">model</div>
<div class="param-badges">
<span class="badge-type">string</span>
<span class="badge-req">required</span>
</div>
<div class="param-desc">LLM model used (e.g. <code>gpt-4o-realtime-preview</code>).</div>
</div>
curl --request GET \
--url https://api.branofy.cloud/v1/agents \
--header 'X-API-Key: your_voice_api_secret_key'<div class="response-preview">
<div class="response-header">
<span>Response</span>
<span class="status-200">200 OK</span>
</div>
{
"data": [
{
"id": "agent_12345",
"name": "Customer Support Agent",
"callingProvider": "local_voice",
"firstMessage": "Hello, how can I help you today?",
"language": "en",
"model": "gpt-4o-realtime-preview",
"status": "active",
"temperature": 70,
"toolIds": ["tool_abc123"],
"ttsVoice": "af_heart",
"voiceId": "alloy",
"updatedAt": "2026-06-21T10:00:00Z"
}
]
}
</div>
Create Agent
Configure a new conversational voice agent with specific persona instructions, synthetic voices, and API tools.
<div class="endpoint-path">
<span class="badge badge-post">POST</span>
<code>/v1/agents</code>
</div>
<h3>Request Body</h3>
<div class="param-row">
<div class="param-name">name</div>
<div class="param-badges">
<span class="badge-type">string</span>
<span class="badge-req">required</span>
</div>
<div class="param-desc">Display name for the agent setup.</div>
</div>
<div class="param-row">
<div class="param-name">systemPrompt</div>
<div class="param-badges">
<span class="badge-type">string</span>
<span class="badge-req">required</span>
</div>
<div class="param-desc">The core persona behavior directive guidelines.</div>
</div>
<div class="param-row">
<div class="param-name">voiceId</div>
<div class="param-badges">
<span class="badge-type">string</span>
<span class="badge-opt">optional</span>
</div>
<div class="param-desc">The voice sound profile (e.g. <code>alloy</code>).</div>
</div>
curl --request POST \
--url https://api.branofy.cloud/v1/agents \
--header 'X-API-Key: your_voice_api_secret_key' \
--header 'Content-Type: application/json' \
--data '{
"name": "Billing Agent",
"callingProvider": "local_voice",
"firstMessage": "Hello, am I speaking with the customer?",
"language": "en",
"model": "gpt-4o-realtime-preview",
"systemPrompt": "You are a billing representative.",
"temperature": 70,
"toolIds": [],
"ttsVoice": "af_heart",
"voiceId": "alloy"
}'<div class="response-preview">
<div class="response-header">
<span>Response</span>
<span class="status-201">201 Created</span>
</div>
{
"id": "agent_67890",
"name": "Billing Agent",
"callingProvider": "local_voice",
"firstMessage": "Hello, am I speaking with the customer?",
"language": "en",
"model": "gpt-4o-realtime-preview",
"status": "active",
"temperature": 70,
"toolIds": [],
"ttsVoice": "af_heart",
"voiceId": "alloy",
"updatedAt": "2026-06-21T16:11:00Z"
}
</div>