What the data for this category looks like
Logistics intelligent due diligence report data mainly comes from logistics enterprise waybill management systems, warehouse WMS systems, trunk line transportation scheduling platforms, and public freight timeliness disclosure data. Updates occur in real time after each batch of waybills is completed. Monthly summary data updates within 24 hours after the end of the natural month. Document structures primarily use structured tables, including fields such as waybill number, origin, destination, transportation method, actual transportation duration, delivery status, per-piece freight, total transportation cost. Units include kilometers, pieces, yuan, hours, and others. Some scenarios include time-series data of transportation tracks.
Constraints on tool calling and plugins
The multi-source, real-time updated, and complex field structure of logistics intelligent due diligence report data creates multiple constraints for tool calling and plugin workflows. Multi-system data sources require support for parallel calls to different interfaces, to avoid single interface timeouts delaying the overall process. Real-time waybill data requires plugin request intervals to match the business update rhythm, to prevent data lag. The large number of fields and diverse units require clear field mapping and unit conversion rules to be configured during tool calling, to avoid parameter mismatches. Calls for time-series transportation tracks need to support pagination retrieval, to prevent excessive single return data volume from triggering system limits.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
HTTP_REQUEST_TIMEOUT | 600 seconds | Matches the average response duration of logistics waybill data interfaces, to avoid task failure caused by interface call timeouts |
PLUGIN_PARALLEL_LIMIT | 3 | Balances the efficiency of multi-data source calls and system load, to prevent current limiting triggered by excessive concurrency |
FIELD_MAPPING_RULE | One-to-one mapping between interface return field names and due diligence report fields | Aligns with the structured characteristics of multi-field logistics data, to ensure accurate data extraction |
UNIT_CONVERSION_SWITCH | Enabled | Meets the unified conversion requirements for multiple units such as kilometers, yuan, and hours in logistics data, to avoid field unit confusion |
RESPONSE_PAGINATION_ENABLE | Enabled | Supports retrieval of large-volume time-series data such as transportation tracks, to prevent exceeding data volume limits for single return requests |
PLUGIN_CACHE_TTL | 300 seconds | Matches the update rhythm of real-time logistics data, balancing data timeliness and interface call frequency |
The parameter values provided on this page are all common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing.
Three common configuration mistakes
- Phenomenon: Tool calls return a
504 Gateway Timeouterror, but calling the corresponding interface via Postman can normally obtain results. Cause: TheHTTP_REQUEST_TIMEOUTconfiguration in FastGPT is not set with a sufficiently long timeout period, causing the interface to be forcibly interrupted before the response is completed. - Phenomenon: Logistics due diligence visualization results generated by the basic chart plugin lack transportation timeliness fields. Cause: The
UNIT_CONVERSION_SWITCHis not enabled, causing the plugin to fail to correctly convert units such as kilometers and hours, and unable to recognize standardized field content. - Phenomenon: Calls to the reordering plugin return a
falseresult, but the interface call log shows valid data returned. Cause: The plugin's result parsing switch is not enabled, causing the plugin to fail to convert the structured data returned by the interface into a recognizable input format.
How to confirm correct configuration
- Call the test interface for a single waybill data, and verify that the fields returned by the tool completely match the fields required by the due diligence report.
- Simulate a call for batch transportation track data, and check whether the plugin automatically paginates retrieval and returns all data completely.
- View the plugin running logs, and confirm that all concurrent requests complete responses within the preset timeout period.
- Generate a visualization chart, and check that all units of logistics data have been uniformly converted to the standard units required by the report.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.