What does the data for this category look like?
This data is typically maintained by product designers and interaction designers. Data sources include Figma or Axure files, team design systems, user feedback, and usability test records. Daily deliverables include interactive prototypes, page flowcharts, component descriptions, and review records. Core fields cover component names, interaction actions, jump paths, and exception scenarios. The update frequency is usually weekly or per version iteration. During updates, many detailed adjustments and supplementary exception scenarios are added. The overall content structure is relatively scattered but highly correlated.
What constraints do these characteristics impose on HTTP interfaces and external systems?
Since data is scattered across multiple design tools and updated frequently, interfaces must support cross-source design document pulling and real-time synchronization. The accuracy of core fields directly affects R&D teams' understanding of interaction paths, so interface responses must strictly match the core fields defined in prototype designs. Supplementary exception scenarios increase the contextual complexity of Q&A, so interfaces must support precise multi-turn matching. Additionally, the update rhythm of design documents requires interfaces to have stable response times to avoid synchronization interruptions and R&D rework caused by timeouts.
How to set configurations?
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
AIPROXY_API_ENDPOINT (AI Proxy service root address environment variable) | http://aiproxy:3000 | Meets FastGPT v4.17.0+ server environment variable requirements, no additional /v1 or path suffix required, non-single-model service address |
AIPROXY_API_TOKEN (AI Proxy administrator token environment variable) | Non-empty string matching the server configuration | Required environment variable for FastGPT server, meets startup verification and authentication requirements. Must not be replaced with application API keys, model vendor keys, or request-estimated token counts |
| Request timeout | 600 seconds | Adapts to the average response time for design document pulling and Q&A, avoids frequent timeouts |
| Single recall count | Top 8 entries | Covers core interaction scenarios of prototype designs, reduces redundant data returned |
| Context length | 800–1200 characters | Adapts to the single-page content length of prototype documents, ensures contextual accuracy for Q&A |
Three common mistakes
- An interface call returns a "quota exceeded" error with status code 429. Troubleshooting steps: Confirm whether the quota limits of model vendors are confused with the AI Proxy authentication logic, or if a non-administrator token was used to send the request.
- An error "channel unavailable" is prompted when adding a native Gemini channel. Troubleshooting steps: Confirm whether the official key was not filled in via the model channel configuration page, or if the
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENenvironment variables were misconfigured. - The interaction path returned by the interface does not match the actual design document. Troubleshooting steps: Confirm whether the correct
variablesparameter was not passed in the request to specify the design source.
How to confirm the configuration is complete
- Check the FastGPT server startup logs for no error messages stating "missing AIPROXYAPIENDPOINT or AIPROXYAPITOKEN".
- Test the upstream model on the model channel configuration page, confirm the prompt "test passed" is returned.
- Send an interface request, verify that the returned results include core fields such as component names and interaction paths required for prototype design.
- Adjust the design source identifier in the request parameters, confirm that the interface returns document content from the corresponding data source.
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.