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Getting the following error even while executing the following cell
agent.run("How many Papers are there?")

Agent stopped due to iteration limit or time limit

I got "413 Request Entity Too Large" from gsql_102.ipynb by running "conn.ingestDataset(dataset_ldbc, getToken=True)" . I am using free tier cluster and keep trying this many time , can not go through . thanks .

Error source: (https://github.com/tigergraph/graph-ml-notebooks/blob/main/applications/fraud_detection/fraud_detection.ipynb)

Error Message:

Installing and optimizing queries. It might take a minute if this is the first time you use this loader.

ConnectionError Traceback (most recent call last)
in
----> 1 train_loader = conn.gds.vertexLoader(
2 attributes=["in_degree","out_degree","send_amount","send_min",
3 "recv_amount","recv_min","pagerank", "is_fraud"],
4 num_batches=1,filter_by="is_training"
5 )

3 frames
/usr/local/lib/python3.8/dist-packages/pyTigerGraph/gds/utilities.py in install_query_file(conn, file_path, replace, distributed, force)
160 status = resp.splitlines()[-1]
161 if "Failed" in status:
--> 162 raise ConnectionError(resp)
163 else:
164 print(status)

ConnectionError: Using graph 'Ethereum'

Type Check Error in query vertex_loader_1800ab04ea95dd6d88bdef6354f8ce05 (TYP-1002): line 64, col 42
Function/Tuple name does not exist: int_to_string
Failed to create queries: [vertex_loader_1800ab04ea95dd6d88bdef6354f8ce05].

I don't see it in the TG starter kits.