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The following payload is sent to your configured webhook URL when all functions of a Serverless Workflow finishes running for a given Input. 
{
    "workflow_name": "workflow_XXXX",
    "invocation_id": "invocation_XXXX",
    "fn_status": {
        "fn_A": "success",
        "fn_B": "failure"
    }
}
The following statuses are possible for each function -
  • success - The function finished running successfully.
  • failure - The function failed to finish running.

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Example

Once you have configured the webhook, test it with this example snippet that:
  1. Parses a document, and sets deliver_webhook to True.
  2. Once the parsing is complete, you should see the webhook payload delivered to your configured webhook URL.
We highly recommend using Svix Play to test whether webhooks are getting delivered.
import time

from tensorlake.documentai import DocumentAI
from tensorlake.documentai.parse import ParsingOptions, TableParsingStrategy

API_KEY = "tl_api_key_XXXX"

doc_ai = DocumentAI(api_key=API_KEY)

# Skip this if you are passing a pre-signed URL to the `DocumentParser`.
# or pass an external URL
# file_id = doc_ai.upload(path="/path/to/files")


job_id = doc_ai.parse(
    # file_id, # You can pass in a publicly accessible URL instead of a file_id
    "https://pub-157277cc11d64fb1a11f71cc52c688eb.r2.dev/invoice-example.pdf",
    options=ParsingOptions(
        table_parsing_strategy=TableParsingStrategy.VLM,
        deliver_webhook=True,
    ),
)

print(f"job id: {job_id}")
result = doc_ai.get_job(job_id=job_id)
print(f"job status: {result.status}")
while True:
    if result.status in ["pending", "processing"]:
        print("waiting 5s...")
        time.sleep(5)
        result = doc_ai.get_job(job_id)
        print(f"job status: {result.status}")
    else:
        if result.status == "successful":
            # save the result to a file
            with open(f"{job_id}.json", "w", encoding="utf-8") as f:
                f.write(result.model_dump_json())
        break
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