What the data for this category looks like
Data for this category is typically maintained by product designers, interaction designers, or frontend product teams. Core sources include Figma or Axure files, internal team design systems, user feedback, and usability test records. Daily deliverables include interactive prototypes, page flowcharts, component specifications, and review records. Data update frequency is usually weekly or per product version release. Core fields include prototype version number, page operation paths, component attribute specifications, and review modification opinions. Format is adjusted flexibly based on the team’s design workflow.
What constraints these characteristics impose on HTTP interfaces and external systems
Data for this category relies on external design tool services. HTTP interfaces must support integration with third-party design tool open APIs, and permission verification is required to obtain file content. Data update frequency is weekly or per product version. The interface’s synchronization trigger logic must match this rhythm to avoid invalid pulls or missed updates. Document formats are flexible, so interface return fields must support custom filtering to only return core fields such as prototype version and operation path. The core value of this category is clarifying page structure and operation paths. Missing or incorrect fields will directly lead to deviations in development understanding, so interface return validation must strictly match the field specifications of design documents.
How to set configurations
| Configuration Item | Recommended Practice | Rationale |
|---|---|---|
Authorization | Carry the Bearer Token for the design tool service, with the value Bearer <token> | Used to verify interface call permissions, matching the security verification rules of the design tool |
variables | Pass {"sourceType": ["figma", "axure"], "updateCycle": "weekly"} | Specify the design source type and synchronization cycle to pull, adapting to the update frequency of the category |
responseData | Only return the prototypeVersion, pagePath, componentSpec, reviewComment fields | Filter redundant data, only retaining core document fields for the category |
| Interface timeout period | 300 seconds | Adapt to the pull time of large design files, calibrated based on actual measurements |
| Re-pull trigger rule | Triggered by prototype version update markers | Match the version release rhythm of the category, avoiding repeated pulls |
Three common configuration errors
- Phenomenon: A 401 unauthorized error is returned when calling the interface, but manual interface calls work normally. Cause: The
Authorizationparameter is not configured correctly, the Token format passed in the variable is incorrect, and theBearerprefix is not added. - Phenomenon: The
responseDatafield returned by the interface is empty, and design document content cannot be obtained. Cause: The correct design source type is not specified invariables, or the filtered fields exceed the scope of core category documents. - Phenomenon: A connection timeout is returned after calling the interface, and access to the locally deployed design tool service fails. Cause: The correct HTTPS certificate path is not configured, or the interface address does not use a valid domain name, preventing external systems from accessing the service.
How to confirm configuration is complete
- Call the interface and check if the returned
responseDataincludes core fields such as prototype version number and page path, with the number of fields matching the configured filtering rules. - View interface call logs to confirm that the
Authorizationparameter is correctly carried, and no permission-related errors occur. - Test passing different
variablesparameters to verify whether the interface can pull data according to the specified update cycle and source type. - On the external system configuration page of FastGPT v4.17.0, save the configuration and trigger a test call to confirm that the return status code is 200.
The values provided here are common starting points and should be evaluated 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.