Result of (re)describing a connector's modeled tables. Each modeled table gets a one-line summary embedded as a single Qdrant point for the agent's table search. Counts report how many tables were (re)summarized and (re)embedded this call; unchanged tables are skipped (the embed is content-hash gated), so a repeat call reports zeros.
| Name | Type | Description | Notes |
|---|---|---|---|
| data_source_id | UUID | ||
| tables_total | int | Modeled tables considered | |
| summarized | int | Tables whose summary was (re)generated | |
| embedded | int | Tables whose Qdrant point was (re)written |
from ksapi.models.data_source_describe_response import DataSourceDescribeResponse
# TODO update the JSON string below
json = "{}"
# create an instance of DataSourceDescribeResponse from a JSON string
data_source_describe_response_instance = DataSourceDescribeResponse.from_json(json)
# print the JSON string representation of the object
print(DataSourceDescribeResponse.to_json())
# convert the object into a dict
data_source_describe_response_dict = data_source_describe_response_instance.to_dict()
# create an instance of DataSourceDescribeResponse from a dict
data_source_describe_response_from_dict = DataSourceDescribeResponse.from_dict(data_source_describe_response_dict)