How do I set up Gladly omni-channel conversation history exports to local storage so we can archive old data without paying for cloud retention?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I set up Gladly omni-channel conversation history exports to local storage so we can archive old data without paying for cloud retention?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Gladly API conversation history export conversations messages API pagination documentation data export retention Google ↗
Gladly data retention conversation history export API local storage archive documentation Google ↗
- Gladly API · developer.gladly.com
- Gladly · apis.io
- GitHub · github.com
- Configure Data Retention Settings and Data Deletion Options · help.gladly.com
- Data Subject Requests · help.gladly.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Gladly API conversation history export conversations messages API pagination documentation data export retention OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
Gladly data retention conversation history export API local storage archive documentation OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |