What data for this category looks like
Typical users of this category are product designers, interaction designers, and front-end product teams. Daily deliverables typically include interactive prototypes, page flowcharts, component descriptions, and review records. Data sources typically include Figma or Axure files, internal team design systems, user feedback, and usability test records. Update frequency is typically weekly or per version iteration. Core daily processing content focuses on page structure and operation paths. Teams must sort out state transitions, complete missing abnormal scenarios, and finalize design review revisions. Improper handling can lead to R&D misunderstanding, post-launch operation path failures, or rework problems.
What constraints these characteristics impose on the "tool calling and plugins" workflow
The data sources for this category are mostly structured or semi-structured design files. Plugins are required to parse exported Figma or Axure formats, so plugin configurations must adapt to parsing rules for specific file types. Data updates occur weekly or per version iteration, so tool calling trigger timing must align with this rhythm to avoid excessive triggering and resource waste. Daily document fields mostly relate to page nodes and interaction logic. Tool input parameters must accurately map to specific elements in prototypes to avoid generalized content extraction. Errors directly impact R&D and launch workflows, so failure retry and verification mechanisms must be configured to reduce processing risk in abnormal scenarios.
How to set configurations
In FastGPT v4.17.0, refer to the following rules when configuring tool calling and plugins for prototype and interaction design scenarios:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | auto | Adapts to the flexible needs of prototype and interaction design analysis, automatically determines whether to call plugins to generate test cases |
functionCall | Mandatory specification of interaction path analysis | Accurately extracts operation logic from prototypes, avoids generating generalized test cases, and matches the core processing requirement of this category for page structure |
| Plugin trigger timing | After prototype file upload completes | Aligns with the weekly or per-version update frequency of this category, avoids real-time triggering to reduce system resource consumption |
| Parameter mapping rules | Map prototype page IDs to tool input parameter q | Adapts to page flowcharts and component descriptions in daily documents, ensures tool calls accurately match target analysis objects |
| Number of failure retries | 2 times | Addresses potential format exceptions in prototype files, reduces the probability of single parsing failure |
| Result output format | JSON format, including operation paths and abnormal scenarios | Standardizes output results to facilitate subsequent generation of test cases and defect analysis documents |
Three common mistakes
- Phenomenon: Configured plugins cannot be found in the tool list, and the interface displays "No matching plugin configuration found". Cause: The plugin file was not placed in the FastGPT-specified plugin storage directory, or the configured path does not match the system's default plugin loading path.
- Phenomenon: Tool calls return empty results or missing core fields. Cause: Parameter mapping rules were not correctly configured, and fields such as page IDs and interaction nodes in prototype files were not accurately mapped to tool input parameters.
- Phenomenon: Plugin calls time out, returning status code 504. Cause: A reasonable timeout threshold was not set. For large prototype files, parsing time exceeds the system's default limit, and no retry mechanism was configured.
How to confirm configurations are correct
- Upload a simplified Axure prototype test file, trigger plugin calls, and check if the configured target plugin appears in the tool list.
- View FastGPT plugin call logs to confirm whether input parameters correctly extract core information such as page IDs and interaction nodes from prototype files.
- Verify that plugin return result formats match the preset test case and defect analysis template, and that all fields are complete.
- Simulate an abnormal scenario by uploading a corrupted prototype file, check if the preset failure handling logic is triggered and a friendly prompt is returned.
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.