What this category of data looks like
This category of data comes from ticket systems, chat logs, product logs, and customer contract SLAs. Updates occur daily or in real time. Daily documents include customer tickets, issue tiering tables, processing records, and service reports. Ticket fields include customer identifiers, issue descriptions, submission times, and tiering tags. The issue tiering table includes priority, response time limits, responsible team mappings, and similar content. Data originates around customer feedback entry points, focusing on full-process records from acceptance to tiering and assignment, and does not include content related to regression testing for product defect fixes.
What constraints these characteristics impose on the "sharing and embedding" link
Data real-time requirements vary. Align calls made after embedding with the daily or real-time update rhythm of ticket data. Otherwise, tiering tags will not match actual ticket status. Tickets and tiering tables contain customer sensitive information and SLA details. Configure permission filtering rules when sharing and embedding to prevent unauthorized access. Data sources are scattered and field formats are inconsistent. Implement unified mapping rules during embedding to ensure consistent matching logic for tickets and tiering data from different sources. Additionally, this category of data links to multiple team responsibility divisions. Follow permission divisions strictly for post-embedding display to avoid cross-team access to sensitive content.
How to configure the settings
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Sharing entry shareId | Copy the full share link generated by the system; do not replace the identifier manually | Identifies the sharing entry; business records and data permissions for ticket handling and issue tiering must still be handled by external systems |
| Share link validity period | Test starting point: 7 days; adjust based on actual testing of the ticket handling and issue tiering collaboration cycle and revocation requirements | Verifies availability within the validity period and access behavior after expiration; this value is not an official default or industry statistic |
| QPM | Test starting point: 20 requests per user per minute; adjust based on actual load | Limits the access frequency of a single user; requires verification combined with request logs and actual load |
| Identity verification | When identity permission requirements exist, first verify commercial edition capabilities and the uid returned by the third-party identity service | Holding a share link does not equate to having business data permissions; third-party identity and data scope must be verified separately |
| Referenced content display | Select display configurations for referenced fragments, full text, and original text based on the sensitivity of ticket handling and issue tiering materials | Check displayed content within the authorized data scope; do not use hidden interfaces as a substitute for data permission control |
| Conversation record verification | Test example: Prepare 10 ticket handling and issue tiering Q&A samples, check them in the same browser and another device respectively | Anonymous records rely on browser local identity; retention cannot be guaranteed across devices or after cache clearance |
Three common mistakes
- Sharing entries associated with ticket handling and issue tiering fail to open. First verify the full system-generated link and its validity period, then cross-check browser request statuses; do not manually replace
shareId. - The visible scope of ticket handling and issue tiering data does not match expectations. Cross-check third-party identity verification results, workflow request parameters, and external system data permissions respectively; the sharing entry identifier itself does not provide business authorization.
- The same ticket handling and issue tiering Q&A cannot be viewed on another device. For anonymous scenarios, first verify device, browser, and local identity status; record retention cannot be guaranteed across devices or after cache clearance, and service abnormalities cannot be judged solely based on this phenomenon.
How to confirm the configuration is complete
- Access the embedded link to verify that only ticket and tiering data within the scope authorized by the external business system is visible.
- Manually trigger data synchronization from the external business system, confirm that updated ticket content can be properly displayed on the embedded page.
- Check call logs to confirm that the
shareIdparameter is correctly included in the request, with no missing parameters. - Simulate a customer feedback scenario to verify that the embedded page can associate processing records and tiering information for the corresponding ticket.
The values given are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.