Hi Team, I was batch running timegpt forecast using 6 months of hourly data for training and 1 week of hourly data for testing for the last 2 years of data using sliding windows (2yr x 52weeks/yr = 104 API calls). Somewhere around the 30th API call, the function failed with the following error message:

status_code: 422, body: detail=[ValidationError(loc=['body', 1], msg='JSON decode error', type='json_invalid', ctx={'error': 'unexpected content after document'})]

. Could someone please shed some light on why I might be getting this error? Thanks for the help!

Hey. Can you please update the nixtla library? You're most likely getting an error about the series being too short but the previous client can't parse that error

Thanks, Jose. I'll try that. But the series shouldn't be too short. I make sure to pass it 6 months of hourly training data for every API call (and it only needs a minimum of 6 weeks of hourly data for training)

Can you please upgrade anyway so that you can share the error message (if you get one)?