Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
Data sources for this category include urban management law enforcement platforms, urban operation grid platforms, video surveillance, and public complaint work orders. The update frequency is daily. Daily documents include inspection records, case filing approval forms, on-site photos, rectification orders, penalty decisions, and case closure reports. Fields typically include case number, responsible entity, violation type, rectification status, disposal time limit, and others. Some documents include multimedia files such as on-site photos and law enforcement videos.
Constraints on the "workflow orchestration" link
Multi-source data updated daily requires workflows to support multi-data source access and scheduled synchronization tasks. Documents containing structured tables and multimedia files require workflows to adapt to different format file parsing and field extraction. Case disposal processes cover multiple steps including filing, approval, rectification, and closure, requiring workflows to connect each node and associate data from links such as on-site evidence collection. The potential consequences of non-compliant law enforcement require workflows to add verification nodes to prevent missing evidence or process omissions.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the text length of daily documents such as inspection records and penalty decisions |
| Overlap Length | 100–200 characters | Prevents chunking from breaking the contextual association of case data |
| Node Timeout | 600 seconds | Covers processing time for time-consuming links such as on-site evidence location and responsible entity judgment |
| Knowledge Base Recall Limit | Top 5 entries | Matches similar historical law enforcement case files to reduce interference from redundant information |
variables Trigger Rule | Match by case number | Associates multi-source data from urban management law enforcement platforms and grid platforms |
| Model Switching | Configure as needed per link | Adapts to model requirements for different tasks such as case classification and compliance verification |
Three Common Misconfigurations
- An API call returns a model parameter mismatch error. This occurs when the
modelfield’s corresponding task type is not clearly defined, and a classification model is mistakenly used for question answering links. - The overall workflow run times out. This occurs when a reasonable node timeout period is not set, failing to cover time-consuming links such as on-site evidence collection.
- The number of knowledge base recall results does not match expectations. This occurs when the correct recall limit is not configured, or an unreasonable chunk length is set that causes context breakage.
How to Verify Correct Configuration
- Upload single inspection records and penalty decisions to verify whether the workflow correctly extracts core fields such as case number and violation type.
- Trigger a multi-source data synchronization task to check whether data from urban management law enforcement platforms and grid platforms can be correctly associated via the
variablesfield. - Simulate a complete case disposal process to verify that node timeout settings and model calls meet the requirements of each link.
- Send a test request via the API to confirm that the
modelfield configuration matches the currently executed task type.
The values provided here are common starting points and should be evaluated against relevant operational 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.