What the Data for This Category Looks Like
This data serves internet product teams, business analysts, and product managers. Daily output documents include requirement research notes, PRDs, user story lists, and requirement change forms. Data sources cover customer interview records, ticketing systems, public competitor pages, and event tracking dashboards. Update cycles follow weekly intervals or sync with product version iterations. Single documents typically include multi-dimensional fields such as business objectives, acceptance criteria, and change records. There is no fixed unified unit. Data volume fluctuates with product iteration frequency.
Constraints Imposed by These Characteristics on Conversation Logs and Auditing
Data sources for this category are scattered and updated frequently. Conversation log auditing must cover operation records from multiple entry points, including scenarios such as importing requirements from tickets and generating PRDs based on competitor analysis. Update cycles follow weekly or version-based intervals. Auditing workflows must support filtering logs by cycle or version number to quickly locate conversation records related to changes. Documents include multi-dimensional fields without fixed units. Logs must be associated with the unique identifier and version information of the corresponding document to ensure complete business context can be matched during traceability. For scenarios with multiple participating roles, auditing must configure access permissions by role to prevent unauthorized viewing of sensitive requirement content.
How to Configure Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Bind to the unique identifier of the requirement document | Ensure logs are directly associated with corresponding PRDs and requirement change forms, enabling audit retrieval by requirement dimension |
responseChatItemId | Store by conversation group, retain 7 days of full logs, retain version-associated logs for 6 months after version release | Aligns with the weekly or version-based update cycle of this category, balancing storage costs and audit traceability needs |
detail | Collect full fields including interview notes and acceptance criteria, with a single collection limit of no more than 2000 characters | Cover core business fields of documents in this category, meeting full traceability requirements for compliance audits |
| Conversation permission scope | Divide by product team roles, only allow corresponding roles to access their assigned requirement logs | Matches the multi-role participation business scenario of this category, preventing unauthorized access to sensitive requirement content |
| Log retrieval limit | Top 100 results | Adapt to the data volume of this category, avoiding excessive retrieval results that impact operational efficiency |
Three Common Configuration Mistakes
- Prompt for no permission to operate this conversation record: Phenomenon: A corresponding error message pops up when accessing specified conversation logs. Cause: Access permission scope for
chatIdis not configured by role, leading to unauthorized access interception. - Frontend conversation records disappear after version upgrade but are visible in the backend: Phenomenon: Only new conversations appear after refreshing the conversation page, while historical records can be queried in the backend audit panel. Cause: Frontend cache is not cleared, and the conversation association logic for
responseChatItemIdis not configured, resulting in invalid conversation ID mapping. - Conversation log
detailfield is empty: Phenomenon: Thedetailfield in the audit panel has no valid content. Cause: Full collection configuration fordetailis not enabled, only basic conversation metadata is collected, and business fields related to requirements are not included.
How to Confirm Correct Configuration
- Verify that the
chatIdparameter is bound to the unique identifier of the corresponding requirement document. This can be done by searching for the specified PRD ID to view associated logs. - Trigger a requirement review conversation, check that
responseChatItemIdcorrectly associates all historical records of the current conversation with no omissions. - View the audit panel to confirm that the
detailfield includes core business fields of documents in this category, such as interview notes and acceptance criteria. - Test cross-role access to confirm that unauthorized roles cannot view requirement conversation logs from other teams.
- Confirm that the running environment is FastGPT v4.17.0 to ensure configuration items are compatible with the current version.
The values provided are common starting points and should be measured against samples relevant to the specific deployment.
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.