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List Webhook Configs

List<WebhookConfigResponse> webhookConfigs().list(WebhookConfigListParamsparams = WebhookConfigListParams.none(), RequestOptionsrequestOptions = RequestOptions.none())
GET/api/v1/beta/webhook-configs

List the webhook configurations for the current project, newest first.

ParametersExpand Collapse
WebhookConfigListParams params
Optional<String> organizationId
Optional<String> projectId

List Webhook Configs

package ai.llamaindex.llamacloud.example;

import ai.llamaindex.llamacloud.client.LlamaCloudClient;
import ai.llamaindex.llamacloud.client.okhttp.LlamaCloudOkHttpClient;
import ai.llamaindex.llamacloud.models.webhookconfigs.WebhookConfigListParams;
import ai.llamaindex.llamacloud.models.webhookconfigs.WebhookConfigResponse;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        LlamaCloudClient client = LlamaCloudOkHttpClient.fromEnv();

        List<WebhookConfigResponse> webhookConfigResponses = client.webhookConfigs().list();
    }
}
[
  {
    "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 - Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md - Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters. - A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/for-agents/mcp/ - 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/