What the data for this category looks like
This category of data is generated from materials related to identifiable natural person information processing. Data sources include business systems, App permission lists, privacy policies, and user request records. Daily associated documents include personal information lists, processing rules, impact assessment reports, and user authorization texts. Updates occur quarterly or when each product version is changed. The core data structure centers on natural person information processing scenarios, permission configurations, and compliance judgment fields. No additional statistical numerical fields are included. Only information flow and permission mapping content required for compliance review are covered.
What constraints do these data characteristics impose on the multi-turn dialogue and prompt engineering link
The data characteristics of this category create clear constraints for multi-turn dialogue and prompt engineering configurations. Since data updates trigger quarterly or during product changes, historical compliance review context must be retained in conversations to avoid repeated checks of old rules. Document types are diverse and focused on natural person information, so prompts must explicitly limit the review scope to identifiable natural person information processing links to prevent exceeding category boundaries. The most time-consuming scenario sorting and legitimacy confirmation links require gradual breakdown of review nodes through multi-turn dialogue, guiding input of corresponding document fragments to reduce manual repetitive sorting work. At the same time, judgment logic must be made more rigorous to avoid compliance oversights caused by lost context.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Context | Retain the most recent 8 historical conversation messages | Matches the update frequency of this category’s data, balances context completeness and response speed, and adapts to the context processing logic of FastGPT v4.17.0 |
| Query Optimization | Adjust prompt logic targeting compliance review scenarios | Focuses on identifiable natural person information processing links to avoid exceeding category boundaries |
| Single Document Injection Limit | No more than 3 associated document fragments | Limits the prompt input scope to reduce redundant information interference |
| Session Binding | Fixed binding to the unique identifier of the current review session | Ensures continuous multi-turn dialogue context and avoids cross-session confusion of review content |
| Timeout Threshold | 600 seconds | Adapts to the loading and analysis duration of compliance review documents to avoid mid-process interruptions |
Three common misconfigurations
- Phenomenon: When calling the
/api/v1/chat/completionsinterface, the compliance review result does not match the preset rules. Cause: The document fragments required for compliance review are not injected via thevariablesparameter, and the prompt does not explicitly limit the review scope. - Phenomenon: When using a global key to initiate multi-turn compliance review conversations, context from different sessions becomes mixed, leading to incorrect reuse of historical review conclusions. Cause: The
chatIdparameter is not bound, and session context isolation is not implemented. - Phenomenon: When importing documents such as personal information lists, the domain names of embedded images are automatically lost, and image resources cannot be loaded normally during the review process. Cause: No image domain name binding rules are configured during the document conversion stage, and the prompt does not cover the verification requirements for resource links.
How to confirm the configuration is correct
- Initiate a test conversation, input a compliance review-related query, and check whether the returned results cover the preset document fragment content.
- Initiate two independent compliance review sessions, and check that the historical context of the two sessions does not interfere with each other.
- Import a document containing image links, and check whether the image links retain the preset domain name information.
- View the interface call logs of FastGPT v4.17.0, and confirm that the
chatId,messages, andvariablesparameters are all correctly passed.
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.