What this category of data looks like
Expressway operation ledger data comes from three primary data sources: toll settlement systems, pavement maintenance inspection systems, and road network monitoring systems. Toll ledgers update every 15 minutes, and record station code, number of passing vehicles, actual collected amount, and lane number. Maintenance ledgers update daily, and record maintenance section, inspection time, defect type, and repair status. Monitoring ledgers push data in real time, and record device online status and traffic peak value. All ledger documents are stored in structured format, with unified timestamp and area code fields. Units include vehicle trips, yuan, kilometers, percentage, and other standard units.
Constraints Imposed on Tool Calling and Plugin Workflows
Differences in synchronization cycles across multiple data sources require plugin calls to align with their respective update rhythms, to avoid calling data sources that have not completed updates. Diversity of fields and units requires preset field mapping rules during tool calling, to unify output formats for report generation. Large monthly ledger data volume for a single station requires paging processing for batch calls, to prevent single requests from exceeding interface load limits. Cross-system data association demands that plugins support parallel calls of multiple data sources, to ensure completeness of summary reports.
How to Configure
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
toolChoice | Specify the dedicated ledger summary workflow | Explicitly bind the preset expressway operation ledger processing logic, to avoid calling unrelated functions |
| API key configuration | Bind dedicated workflow keys | Isolate access permissions for ledger data across different operation areas, to comply with data security specifications |
| Batch call interval | 10–15 seconds | Adapt to the 15-minute synchronization cycle of toll data, to avoid repeated calls to unupdated data sources |
| Timeout period | 600 seconds | Cover the summary calculation duration of monthly ledger data for a single station, to prevent task interruption mid-execution |
| Result filtering rules | Filter by station ID and time range | Match the core requirement of generating reports by area and cycle for expressway operations |
Three Common Configuration Mistakes
- Calling the workflow returns a
401 Unauthorizederror. The cause is that the correct API key is not configured, or the key is not bound to the access permission of the corresponding ledger summary workflow. - Stream data reception interruption causes page data to freeze but backend tasks continue running. The cause is that a stream interruption callback mechanism is not configured, and the unfinished tool call task is not actively terminated.
- FastGPT deployed via Docker cannot find the
packages/plugins/registerfile. The cause is that the plugin registration path for this version has been adjusted todata/plugins. Manually create the corresponding directory or complete plugin configuration via the backend interface.
How to Confirm Configuration is Correct
- Call the test interface, pass the time range parameter for the specified station, and check if the returned results include core ledger fields such as station ID, number of passing vehicles, and actual collected amount.
- View the plugin running logs, confirm that the
toolChoiceparameter is correctly set to the bound ledger summary workflow. - Simulate stream data reception interruption, check if the backend triggers the task termination logic, with no residual background processes.
- Compare the configured timeout period with the actual data processing duration, to ensure no timeout error prompts appear.
The values provided here are common starting points, and should be evaluated 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.