What the data for this category looks like
Working data for prototype and interaction design typically comes from Figma or Axure files. It includes four core document types: interactive prototypes, page flowcharts, component descriptions, and review records. Data is updated weekly or per version, and maintained by product designers, interaction designers, and front-end product teams. The most time-consuming daily tasks are sorting state transitions, completing edge scenarios, and revising design reviews. If data transfer has deviations, it can lead to misinterpretation of operation paths in the R&D phase. This results in inaccessible paths or rework after launch. The core output of this category focuses on page structure and operation paths. This differs from requirements analysis and PRD management work.
What constraints these characteristics impose on HTTP interfaces and external systems
The data characteristics of prototype and interaction design create multi-dimensional constraints for HTTP interface and external system configuration. First, data sources include binary design files and structured documents. Interfaces must support multiple request body types, including file stream transfers. Second, data updates happen weekly or per version. Interfaces must adapt to versioned synchronization needs to avoid repeated full data pulls. Third, core output focuses on page structure and operation paths. Interfaces must define clear field mapping rules and only transmit business-critical information. Finally, data deviations can cause R&D rework. Interfaces must return clear error messages to enable quick troubleshooting. The configuration logic in FastGPT v4.17.0 covers the core requirements of these scenarios.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Request timeout | 300 seconds | Adapt to the transfer size of interactive prototypes and design documents, prevent timeouts during large file transfers |
Authorization | Bearer {pre-configured access token} | Verify external system call permissions and protect access security for design documents |
variables | {"doctype": "prototype", "updatefreq": "weekly"} | Mark the document type and update cycle of the request, to help external systems match the correct data format |
responseData | Only include page node and operation link fields | Filter non-core review records and draft comments to reduce interface transfer load |
| Version verification switch | Enabled | Match the weekly or per-version update rhythm of prototypes and interaction designs, ensure the latest version of design data is retrieved |
Three common misconfigurations
- Symptom: The interface returns a 413 status code when the HTTP request carries file streams such as images. Cause: The request body size threshold for file stream transfers is not configured, blocking large design material transfers.
- Symptom: Calling the external system returns an empty response, and logs show missing fields. Cause: The
variablesparameter is not configured per the document structure of prototype and interaction design. The external system cannot identify the request document type and returns empty data. - Symptom: Data synchronization fails after switching between different storage systems. Cause: The field mapping rule for
responseDatais not configured. Field structures between the two systems do not match, preventing correct parsing of design data.
How to confirm the configuration is correct
- Send an HTTP request with a test interactive prototype file, and confirm the response status code is 200 OK.
- View the
responseDatafield in the interface response, and confirm only core design data such as page structure and operation paths is included. - After calling the interface to retrieve data, compare it with the latest locally stored design document to confirm data versions match.
- Simulate a file stream request, and confirm the interface can receive the request normally and return a processing result.
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.