What the Data for This Category Looks Like
This category of data typically comes from urban management law enforcement platforms, urban operation grid platforms, video surveillance, and public complaint work orders, and is updated daily. Daily generated documents include inspection records, case filing approval forms, on-site photos, rectification orders, penalty decisions, and closing reports. Most data fields include case numbers, violation locations, responsible parties, rectification requirements, disposal progress, and more. Some documents include multimedia materials, and the overall structure is built around the full-process disposal nodes of cases.
What Constraints These Characteristics Impose on the Multi-turn Dialogue and Prompt Engineering Link
The data sources for this category are scattered and cover multiple formats. Multi-turn dialogue requires integrating case information across platforms, so stable context association capabilities are needed. Daily documents include non-text materials, so prompts must be adapted to multimedia content parsing. The core links of case disposal rely on accurate document retrieval; multi-turn dialogue must quickly locate materials corresponding to the relevant link, while avoiding insufficient evidence or law enforcement disputes caused by incomplete information. Daily updated data requires the dialogue system to synchronize the latest case status in real time, to avoid using expired information for auxiliary work.
How to Configure Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
messages context retention limit | 8000–12000 token | The dialogue history for cases in this category must include complete case interactions and document information to avoid losing context at critical disposal nodes |
variables bound fields | Case number, violation location, responsible party | Multi-turn dialogue for this category needs to dynamically fill in case-specific information to improve the accuracy of retrieval and responses |
| Maximum number of recalled documents per request | Top 6 | Associated documents for cases in this category typically revolve around a single case node; too many recalled entries will introduce irrelevant information and interfere with core judgment |
| Question optimization feature | Enabled | Converts colloquial on-site descriptions from law enforcement personnel into standardized retrieval keywords, adapting to quick information retrieval during multi-turn dialogue |
| Dialogue timeout period | 600 seconds | Multi-turn dialogue for on-site disposal usually requires a long information sorting cycle, to avoid mid-interruption affecting the law enforcement process |
chatId session log switch | Enabled | Saves complete multi-turn dialogue records for subsequent law enforcement verification and issue tracing |
Three Common Mistakes
- Phenomenon: Parsing errors occur after uploading multimedia documents such as on-site photos, with a prompt indicating unsupported file format returned. Cause: The parsing switch for the corresponding multimedia format is not enabled, or the chunking rules adapted to documents of this category are not configured.
- Phenomenon: Case data updated on the same day cannot be retrieved during multi-turn dialogue, with empty results returned. Cause: The trigger rule for real-time data synchronization is not set, or the scheduled task for data updates is not executed daily.
- Phenomenon: Detailed interaction records within the application cannot be viewed on the conversation details page. Cause: The session log storage switch corresponding to
chatIdis not enabled, or the log storage capacity threshold is set too low, causing old records to be automatically cleared.
How to Confirm the Configuration Is Complete
- Upload a typical inspection record document of this category, trigger retrieval, and check whether the recalled results include the filing approval form of the corresponding case.
- Launch a simulated multi-turn dialogue, input colloquial descriptions of on-site evidence collection, and check whether the system automatically optimizes them into standardized retrieval keywords.
- Wait 24 hours before launching a dialogue, and check whether updated case information from that day can be retrieved.
- Launch a simulated dialogue lasting more than 500 seconds, and check whether the system completes the interaction normally without triggering a timeout interruption.
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.