What this category of data 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. It is updated daily. Daily documents include inspection records, case filing approval forms, on-site photos, rectification orders, penalty decisions, and closing reports. Common data fields cover case number, violation type, responsible subject, on-site evidence collection information, rectification or penalty execution status, and more. Most documents use a mix of structured and semi-structured formats, with some including unstructured image materials.
Constraints Imposed by These Characteristics on Multi-turn Dialogue and Prompt Engineering
The mixed types of daily documents require multi-turn dialogue to support context association across different content formats. Prompts must clearly distinguish scenario boundaries between law enforcement procedures and party building learning. The daily update frequency of the data requires the dialogue system’s knowledge base to synchronize at a matching pace, to avoid using expired case information. The time-consuming steps of on-site evidence collection and responsible subject identification require multi-turn dialogue to gradually guide users to supplement key information. Prompts must preset common question branches for law enforcement scenarios to reduce invalid interactions. The high sensitivity of case error consequences requires dialogue output to strictly align with archived law enforcement documents, and avoid generating content that does not match actual procedures.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum context length | 800–1200 characters | Matches the average length of a single law enforcement document, prevents context overflow that interrupts dialogue |
chatId binding rule | Bind the unique identifier of a single law enforcement case | Ensures multi-turn dialogue only associates context for the corresponding case, avoids cross-case information confusion |
| Prompt template preset | Include party building learning requirements and law enforcement procedure verification rules | Aligns with compliance requirements for urban management law enforcement and content specifications for party building learning |
variables incoming fields | Pass case number, responsible subject, case status | Provides accurate scenario context for multi-turn dialogue, reduces ineffective retrieval |
| Single dialogue return limit | Top 3 associated documents | Controls output volume, prevents redundant content from interfering with law enforcement judgment |
| Workflow trigger threshold | Calibrated based on actual testing | Adapts to 2-3 concurrent calls per second, avoids exceeding system operating limits |
Three Common Misconfigurations
- A rule traceability symbol appears at the end of dialogue responses. This occurs when the built-in rule display switch is not disabled, causing preset law enforcement compliance rules to be appended to the output.
- Empty values are returned during concurrent workflow calls. This occurs when the maximum workflow run count configuration is not adjusted, exceeding the system’s preset concurrent processing limit.
- The large model thinking process fails to display properly. This occurs when the prompt template does not include the fixed format for thinking process guidance, or the display setting for the corresponding dialogue link is not enabled.
How to Verify a Successful Configuration
- Initiate a single-turn test dialogue, enter basic information for a single law enforcement case, and confirm the context only associates document content for that case.
- Simulate 2-3 concurrent calls per second, check that workflow nodes return valid results with no empty values or error reports.
- Adjust the prompt template, confirm the output includes preset party building learning guidance content and has no extra rule traceability symbols.
- Pass the case number field from the
variablesparameter, confirm the dialogue process automatically associates historical records for the corresponding case.
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.