Reference only; verify against the target FastGPT release and deployment documentation.
What data for this category looks like
Data sources for party building learning of state-owned capital operation companies include internal party building learning document libraries, study minutes of the party committee central group, annual study ledgers of party members, party building guidance materials issued by higher-level party committees, and similar materials. The update rhythm is quarterly or on-demand. The document structure includes fields such as topic classification, publishing entity, publishing time, study points, and assessment requirements. The units are articles, entries, and times.
What constraints do these characteristics impose on the conversation logs and auditing link
Internal party building data involves compliance and confidentiality requirements. Therefore, conversation logs must fully record the context, questions, answers, and associated document metadata of each interaction, without missing key fields. Structured document fields require auditing to support filtering logs by dimensions such as topic, publishing entity, and time, to meet the assessment and traceability needs of party building learning. The regularly updated document library requires that the log retention period be aligned with the document update rhythm, to ensure that the audit scope covers the latest learning materials. At the same time, access permissions for party building content must be strictly controlled. Audit logs may only be viewed by authorized personnel in specific positions to prevent leakage of sensitive content.
How to set the configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Conversation log retention period | 180 days | Aligns with the quarterly update cycle of party building learning materials, covering a complete assessment cycle |
Log fields include detail | Enabled | Fully records conversation context and response content to meet audit traceability requirements |
Logs associate chatId | Enabled | Tracks the complete interaction process via a single conversation chain, facilitating problem traceability |
| Audit log export permission scope | Limited to party committee audit departments | Complies with confidentiality and compliance management requirements for party building content |
| Real-time log synchronization trigger condition | After each conversation is completed | Ensures audit logs are synchronized with actual conversations without delay or omission |
Three common mistakes
- Phenomenon: A regular expression matching failure error is returned when calling the conversation log interface. Cause: The log field extraction rules are not configured correctly, causing the incoming chat record parameter format to not match the preset regular expression.
- Phenomenon: A conversation call actually exists, but no corresponding record appears in the conversation log list. Cause: The log collection switch for the
detailparameter is not enabled, causing core conversation content to not be written to the log repository. - Phenomenon: After uploading party building learning documents to the conversation knowledge base, the frontend prompts a 503 error, but the backend logs show that the file upload was successful. Cause: The log auditing module did not correctly associate the metadata fields of the uploaded documents, causing the frontend request to not trigger the legal audit log generation process.
How to confirm the configuration is complete
- Initiate a party building learning Q&A conversation, check whether the backend logs generate a complete record containing
chatIdandresponseChatItemId. - Enter the audit log module, filter conversations by the specified
chatId, and confirm that all context, questions, and response content are fully recorded. - Attempt to log in to the audit page with a non-authorized account, and confirm that log content cannot be accessed.
- Export audit logs for a specified time period, and confirm that the exported file includes preset associated fields such as topic and publishing time.
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.