What data for this category looks like
Data for this category typically comes from urban management law enforcement platforms, urban operation grid platforms, video surveillance systems, and public complaint work orders. The update frequency is daily. Daily documents include inspection records, case filing approval forms, on-site photos, rectification notices, penalty decisions, and case closure reports. Most fields contain on-site location coordinates, violation types, responsible entities, rectification requirements, and some documents include multimedia attachments.
What constraints these characteristics impose on the forms and interactions link
The multi-source data access feature requires forms to support cross-platform data pulling and automatic filling, to avoid duplicate entry of case information. The daily update rhythm requires forms to be configured with real-time synchronization mechanisms, to ensure timely updates of case status and content. The diverse document types require forms to split modules by business links such as inspection, filing, and penalty, to match field requirements for different scenarios. The presence of required fields such as on-site location and violation type requires forms to be configured with mandatory validation rules, to prevent law enforcement disputes caused by missing key information.
How to set up the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
userSelect component | Pre-set a library of violation type and responsible entity options | Standardize entry options for law enforcement scenarios, reduce manual judgment errors |
formInput variable binding | Associate case location and rectification requirement fields | Automatically fill core information entered in forms, simplify tool invocation workflows |
| Single search limit | Top 5 entries | Match the standard recall scale for daily cases, avoid information redundancy |
| Timeout setting | 600 seconds | Adapt to on-site law enforcement network environments, ensure stable data submission |
| Context window | Calibrated based on actual testing | Adapt to length requirements for multi-document splicing, prevent content truncation |
| Knowledge base classification index | Divide by inspection, filing, and penalty links | Match the business classification logic of category documents, improve recall accuracy |
Three common configuration mistakes
- Symptom: A Human <Instruction> prompt is returned during tool invocation, and case queries cannot be executed normally. Cause: The
formInputvariable is not correctly bound to the tool invocation parameters, causing the tool to fail to obtain key case information entered in the form. - Symptom: A connection error prompt appears when submitting the form, and the issue cannot be resolved even after adjusting network settings. Cause: The timeout setting value is too short, not adapted to network fluctuation scenarios during on-site law enforcement, causing requests to be interrupted before completion.
- Symptom: Knowledge base search results include a large number of irrelevant documents not related to the current case. Cause: The knowledge base classification index is not divided by business links, leading to an overly large recall scope that mixes case materials from other links.
How to verify a complete configuration
- Open the form configuration page, verify that the preset option library includes common violation types and responsible entity categories for urban management law enforcement.
- Initiate a tool invocation test, confirm that case information entered in the form is automatically filled into the tool parameters.
- Simulate an on-site law enforcement scenario to submit the form, verify that the timeout setting covers normal network delay situations.
- View knowledge base recall results, confirm that only document content corresponding to the current business link is returned.
The values provided here 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 2026-09-28.