What this category of data looks like
This category of data primarily comes from content data, advertising revenue sharing systems, financial systems, and creator account backends. Daily maintained documents include incentive rule documents, settlement detail ledgers, creator appeal records, and bulk payment lists. Data updates follow monthly or single-event cycles. Single settlement-related data includes fields such as creator unique identifier, content playback/interaction volume, revenue sharing ratio, payable amount, appeal status, etc. Units cover basic statistical units like person-times, yuan, calendar days, and there are no additional complex nested field structures.
What constraints these characteristics impose on the "conversation logs and auditing" link
Since data sources involve multiple heterogeneous systems, conversation logs must clearly mark the source system of each record to avoid cross-system data confusion. Settlement data update cycles are long, so historical logs must be retained for a sufficient period after the event ends to meet compliance auditing and post-hoc retrospective requirements. Revenue caliber verification and anomaly troubleshooting rely on complete link logs. Logs must include core fields such as creator identifier, settlement cycle, and amount calculation basis; otherwise, the root cause of disputes cannot be located. Sensitive payment data is linked to creator rights and interests, so the audit link must lock unalterable log copies to prevent data tampering or deletion.
How to set the configurations
The following configurations are formulated based on FastGPT v4.17.0:
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Bind to creator settlement batch ID | Associate full-link conversation records for a single settlement batch, enabling quick troubleshooting by batch |
responseChatItemId | Splice with system source prefix | Distinguish log entries from different sources such as content data and financial systems, resolving cross-system data confusion |
detail | Retain up to 1000 characters | Cover complete log content for core scenarios such as revenue calculation and appeal processing, meeting verification requirements |
| Log retention period | 600 days | Match audit and retrospective requirements for monthly/event cycles, complying with industry general compliance standards |
| Single log size limit | 1000 MB | Adapt to log storage for large-volume settlement data such as bulk payment lists |
Three common mistakes
- Phenomenon: Logs cannot distinguish records from different system sources, and
responseChatItemIddoes not include a source prefix. Cause: The identifier field is not spliced according to system type, leading to cross-system data confusion and inability to locate the real source of settlement data. - Phenomenon: When concurrent call volume reaches 2-3 calls per second, settlement logs return null values with no
detailfield content. Cause: No reasonable concurrent current-limiting configuration is set, causing the log write queue to overflow and partial records to be lost. - Phenomenon: After circularly splicing appeal content, Feishu notifications do not generate complete audit records. Cause: No log persistence step is added after the circular node, resulting in spliced content not being written to audit logs and inability to trace appeal processing processes.
How to confirm configurations are correct
- Randomly select 3 settlement batches from different sources, check whether
chatIdmatches the batch ID, and confirm that the session binding logic takes effect. - View the
responseChatItemIdof a single log, confirm that it includes prefix identifiers for different sources such as content data and financial systems. - Export a complete settlement log, check that the character length of the
detailfield does not exceed the preset limit, and that core settlement fields are included. - Check the log storage configuration, confirm that the retention period meets the preset 600-day requirement, and there are no abnormal settings for automatic cleanup of expired logs.
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 2026-10-19.