Technical Documentation and API Q&A for Data Masking: Citation Sources and Traceability

This category of data primarily comes from databases, data dictionaries, masking tools, and access approval systems. Updates follow batch tasks or

What the data for this category looks like

This category of data primarily comes from databases, data dictionaries, masking tools, and access approval systems. Updates follow batch tasks or project cycles. Daily produced documents include masking plans, field mapping tables, masking verification reports, and approval records. Document structures typically center on field rules, execution steps, and verification results as core modules. Fields cover sensitive field identifiers, masking algorithm types, execution times, approval statuses, and more. There are no unified fixed units; values adjust based on the specific business requirements of individual projects.

Data sources are scattered and linked to multiple systems, so traceability requires associating metadata from multiple data sources to avoid broken traceability information. Documents are updated in batches per project, so citations must match the latest field mapping table for the current project to prevent use of expired masking rules. Documents include compliance-related content such as approval records, so traceability must retain the complete approval chain to meet compliance audit requirements. Fields have no fixed units, so traceability requires clarifying the business meaning corresponding to the field to avoid confusion between masking configurations from different projects.

How to configure settings

This document is compatible with FastGPT v4.17.0.

Configuration ItemRecommended SettingRationale
quoteMaxToken800–1200 tokenMatches the single-block content length of masking documents, adapts to model input limits
responseDataOnly return masked fields and traceability IDRetains only compliant and usable data, prevents leakage of original sensitive information
detailEnable traceability detailsCorrelates and displays the complete chain of masking verification reports and approval records
Single search limitTop 3 resultsAdapts to the typical number of masking documents per project, avoids redundant recall
Maximum context duration600 secondsCovers query time for cross-system traceability, prevents timeouts

Three common configuration mistakes

  • Scenario: After calling the API, the returned result is empty, and only citation source links are displayed. Cause: When configuring responseData, masked field return is not enabled, only the original document path is retained, and no usable Q&A content is generated.
  • Scenario: After referencing a plugin in a workflow, the code execution step reports an error with a 400 status code returned. Cause: The field mapping table for the current project is not matched, and expired masking rule configurations are called during traceability.
  • Scenario: Approval record fields are missing from traceability results. Cause: The detail configuration is not enabled, and traceability data from the access approval system is not associated, resulting in a missing compliance chain.

How to confirm that configurations are correctly set

  • Review the citation module in Q&A results, confirm that it includes associated identifiers for masking plans and field mapping tables, and verify that they match the current project's documents.
  • Call the API for testing, check that the returned responseData field only contains masked content and traceability IDs, with no original sensitive information.
  • Review system logs, confirm that traceability queries cover all associated data sources including databases, data dictionaries, masking tools, and approval systems.
  • After adjusting configuration item parameters, verify that traceability details in Q&A results fully display masking verification reports and approval records.

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.