Create Webhook Config
WebhookConfigResponse webhookConfigs().create(WebhookConfigCreateParamsparams, RequestOptionsrequestOptions = RequestOptions.none())
POST/api/v1/beta/webhook-configs
Create Webhook Config
package ai.llamaindex.llamacloud.example;
import ai.llamaindex.llamacloud.client.LlamaCloudClient;
import ai.llamaindex.llamacloud.client.okhttp.LlamaCloudOkHttpClient;
import ai.llamaindex.llamacloud.models.webhookconfigs.WebhookConfigCreate;
import ai.llamaindex.llamacloud.models.webhookconfigs.WebhookConfigCreateParams;
import ai.llamaindex.llamacloud.models.webhookconfigs.WebhookConfigResponse;
public final class Main {
private Main() {}
public static void main(String[] args) {
LlamaCloudClient client = LlamaCloudOkHttpClient.fromEnv();
WebhookConfigCreate params = WebhookConfigCreate.builder()
.webhookUrl("https://example.com/webhooks/llamacloud")
.build();
WebhookConfigResponse webhookConfigResponse = client.webhookConfigs().create(params);
}
}{
"id": "id",
"has_secret": true,
"tenant_id": "tenant_id",
"tenant_type": "project",
"webhook_url": "webhook_url",
"created_at": "2019-12-27T18:11:19.117Z",
"updated_at": "2019-12-27T18:11:19.117Z",
"webhook_events": [
"batch.cancelled"
],
"webhook_headers": {
"foo": "string"
},
"webhook_output_format": "json"
}Returns Examples
{
"id": "id",
"has_secret": true,
"tenant_id": "tenant_id",
"tenant_type": "project",
"webhook_url": "webhook_url",
"created_at": "2019-12-27T18:11:19.117Z",
"updated_at": "2019-12-27T18:11:19.117Z",
"webhook_events": [
"batch.cancelled"
],
"webhook_headers": {
"foo": "string"
},
"webhook_output_format": "json"
}Note for AI agents: this documentation is built for programmatic access.
- Overview of all docs: https://developers.llamaindex.ai/llms.txt
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- Other LlamaIndex tooling for agents — the LlamaParse Platform MCP server, agent skills and plugins, and the n8n node — is mapped at https://developers.llamaindex.ai/for-agents/