What the data for this category looks like
Reference only; verify against the target FastGPT release and deployment documentation. Newly released party building learning materials are synced daily. Full Q&A interaction logs are updated every calendar week. Each data document uses a structured format, with fields including chatId, conversation creation time, user role, question content, AI reply content, audit mark, affiliated branch ID, learning topic tags, and more. Units follow standard definitions: characters, entries, and datetime stamps.
What constraints these characteristics impose on conversation logs and auditing workflows
Party building content must comply with state-owned asset supervision compliance requirements. Full interaction details must be retained in conversation logs, with no truncation or omission of key content. Party building work is managed by branch. Logs must be classified and stored by the conversation group associated with chatId. This supports auditing by department or branch. Data sync cycles are tied to the update rhythm of internal systems. Auditing requires log timeliness to avoid data lag. The audit mark and branch ID fields are mandatory. They support subsequent compliance traceability and permission control. Missing either field prevents completion of the audit process.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Conversation log storage granularity | Store grouped by chatId | Matches the audit needs of state-owned capital investment companies managing party building work by branch, enables quick filtering of target logs by department |
| Single-session log export items | Include all reply content associated with responseChatItemId | Ensures each AI reply can be independently traced, complies with compliance audit requirements for party building content |
| Context storage field | Enable the detail field to store full interactions | Avoids truncating conversation content, meets the requirement to restore the complete learning Q&A process during audits |
| Log synchronization cycle | Sync internal interaction data every 8 hours | Balances audit timeliness and the load pressure on internal systems |
| Export file size limit | Do not exceed 1000 MB | Adapts to conventional restrictions on internal file transfers in state-owned asset systems |
| Historical record update switch | Enable global historical record synchronization | Ensures modified conversation content is included in the audit scope, covers user adjustment needs for historical records |
Three common configuration errors
- After modifying historical records in global variables, audit logs are not updated. The
detailfield is not enabled to sync modified conversation content, so changes to historical records are not included in the audit scope. - Exported conversation records lack reply content associated with
responseChatItemId. The export configuration does not select the associated reply item, resulting in missing single-reply traceability information required for audits. - When conducting party building Q&A with historical records, the AI does not call historical context. Session history is not bound by
chatId, so the system cannot identify the context association of the current session.
How to confirm configurations are correctly applied
- Initiate a party building learning Q&A. Verify that the generated
chatIdis associated with the preset branch ID, confirming the grouped storage configuration is active. - Export the log file for a single session. Confirm that complete
detailfield content is included, confirming full interactions are properly stored. - Modify the historical records of a session. Wait for the 8-hour sync cycle to complete. Confirm that modified content appears in the audit logs, confirming the update configuration is active.
- Initiate a Q&A with historical records. Confirm that the AI reply references historical conversation content, confirming the context binding configuration is active.
The values provided 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 2026-09-28.