Webhooks

Webhooks allow you to receive real-time notifications when events occur in your LlamaCloud jobs. Instead of continuously polling for status updates, you can configure webhook endpoints to be notified immediately when jobs complete, fail, or reach other states.

Overview

LlamaCloud webhooks provide:

• Real-time notifications for jobs
• Configurable event filtering to receive only relevant events
• Retry logic with exponential backoff for reliability
• Custom headers support for authentication

Supported Events

Currently, LlamaCloud supports the following webhook events:

Extract Events

• extract.pending - Extract job has been queued and is waiting to be processed
• extract.success - Extract job completed successfully
• extract.error - Extract job failed with an error
• extract.partial_success - Extract job completed with some warnings or partial failures
• extract.cancelled - Extract job was cancelled before completion

Parse Events

• parse.pending - Parse job has been queued and is waiting to be processed
• parse.success - Parse job completed successfully
• parse.error - Parse job failed with an error
• parse.partial_success - Parse job completed with some warnings or partial failures
• parse.cancelled - Parse job was cancelled before completion

Classify Events

• classify.pending - Classify job has been queued and is waiting to be processed
• classify.running - Classify job has started processing
• classify.success - Classify job completed successfully
• classify.partial_success - Classify job completed with some warnings or partial failures
• classify.error - Classify job failed with an error
• classify.cancelled - Classify job was cancelled before completion

Configuration

Reference the full API schema here: https://api.cloud.llamaindex.ai/redoc#tag/LlamaExtract/operation/run_job_api_v1_extraction_jobs_post

Basic Configuration

Configure webhooks by including webhook configurations in your API calls. You will want to include the webhook configurations as follows:

{ ...
  "webhook_configurations": [
    {
      "webhook_url": "string",
      "webhook_headers": {
        "property1": "string",
        "property2": "string"
      },
      "webhook_events": [
        "extract.pending",
        "extract.success",
        "extract.error"
      ],
      "webhook_output_format": "json"
    }
  ]
  ...
}

Here’s how to configure webhooks in Python (added as the webhook_configurations parameter in the request body):

webhook_configurations = [
    {
        "webhook_url": "https://your-domain.com/webhook-endpoint",
        "webhook_events": ["extract.success", "extract.error", "parse.success", "parse.error"],
        "webhook_headers": {
            "Authorization": "Bearer your-token",
            "X-Custom-Header": "custom-value"
        },
        "webhook_output_format": "json"
    }
]

Event Filtering

You can specify which events to receive by setting the webhook_events array. If not specified, all events will be sent.

# Receive only success and error events
webhook_configurations = [
    {
        "webhook_url": "https://your-domain.com/webhook",
        "webhook_events": ["extract.success", "extract.error", "parse.success", "parse.error"]
        "webhook_output_format": "json"
    }
]

# Receive all events (default behavior)
webhook_configurations = [
    {
        "webhook_url": "https://your-domain.com/webhook"
        "webhook_output_format": "json"
        # webhook_events omitted = receive all events
    }
]

Custom Headers

Add custom headers for authentication or other purposes:

webhook_configurations = [
    {
        "webhook_url": "https://your-domain.com/webhook",
        "webhook_headers": {
            "Authorization": "Bearer your-secret-token",
            "X-Source": "llamacloud",
            "Content-Type": "application/json"  # This is set automatically
        }
        "webhook_output_format": "json"
    }
]

Webhook Payload

When an event occurs, LlamaCloud will send a POST request to your webhook URL with the following payload structure:

{
    "event_id": "149744dd-9002-4411-a6c7-9635da372caa",
    "event_type": "parse.success",
    "timestamp": 1753985275.1154444,
    "data": {
        "id": "a9a57884-921e-4ec2-b555-f4e5a97ec02a",
        "job_id": "a9a57884-921e-4ec2-b555-f4e5a97ec02a"
    }
}

Payload Fields

• event_id: Unique identifier for this webhook event
• event_type: The type of event that occurred (e.g., “extract.success”, “parse.success”)
• timestamp: Unix timestamp when the event occurred
• data: Event-specific data containing job details and results

HTTP Headers

LlamaCloud includes these headers with webhook requests:

• Content-Type: application/json
• User-Agent: llamaindex-webhook-service/1.0
• X-Webhook-Event-ID: {event_id}
• X-Webhook-Event-Type: {event_type}
• Any custom headers you configured

Retry Behavior

LlamaCloud implements automatic retry logic for webhook deliveries:

• Maximum attempts: 3 attempts by default
• Exponential backoff: Wait time doubles between attempts (1s, 2s, 4s)
• Maximum wait time: 60 seconds maximum between retries
• Timeout: 30-second timeout per request

A webhook delivery is considered successful if your endpoint returns any HTTP status code in the 200-299 range.

Example: Receiving Webhooks with Inngest

You can point webhook_url at an Inngest webhook to receive LlamaCloud events without running your own server.

In the Inngest dashboard, create a webhook and add this Transform Function so each event is named by its event_type:

function transform(evt) {
  return { name: `Llamacloud/${evt.event_type}`, data: evt };
}

Then use the Inngest URL as your webhook_url:

webhook_configurations = [
    {
        "webhook_url": "https://inn.gs/e/<your-inngest-key>",
        "webhook_events": ["parse.success", "parse.error"],
        "webhook_output_format": "json"
    }
]

Subscribe an Inngest function to the transformed event and fetch the parsed result with the job_id from the payload:

inngest.createFunction(
  { id: "llamacloud-parse-success" },
  { event: "Llamacloud/parse.success" },
  async ({ event }) => {
    const jobId = event.data.data.job_id;
    const res = await fetch(
      `https://api.cloud.llamaindex.ai/api/v2/parse/${jobId}?expand=markdown`,
      { headers: { Authorization: `Bearer ${process.env.LLAMA_CLOUD_API_KEY}` } },
    );
    const { markdown } = await res.json();
    // do something with the parsed markdown
  },
);