What the data for this category looks like
Data sources for this category include road transport administration systems, the national public service platform for dynamic information of road transport vehicles, and vehicle and practitioner databases. The update frequency is daily. Daily documents include business license applications, vehicle technical files, driver qualification materials, work safety management systems, and road transport business licenses. Data fields include license number, enterprise main body name, vehicle license plate number, qualification certificate number, business scope, certificate validity period, and others. Units involve vehicles, days, person-times, and others. The structure is stored in layers according to the application-audit-issuance-operation maintenance process.
Constraints imposed by these characteristics in the tool calling and plugins workflow
The daily update of multi-source data requires configuring scheduled synchronization tasks for tool calling to ensure ledger data matches the latest status of each system. Business documents of different types have large format differences. Call plugins adapted for multi-format parsing to fully extract core fields such as license numbers and vehicle information. Clearly define field mapping rules during tool calling to avoid ledger errors caused by unit confusion. Control resource usage per round of tool calling for frequently updated data to prevent exceeding interface call thresholds.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Tool call trigger timing | Daily scheduled trigger + trigger after audit node completion | Data updates daily; matching the update rhythm ensures ledger real-time performance |
| Number of data sources per call | First 3 data sources | Data sources are fixed as 3 types of systems; limiting the number reduces call complexity and failure probability |
| Result cache duration | 86400 seconds | Data updates daily; cache duration matches the update cycle to avoid using expired data |
toolChoice | auto | Allow the model to independently select suitable tools to adapt to the diverse needs of multi-source data parsing |
functionCall | Enabled | Force the model to call tools in a structured format to ensure standardization and consistency of ledger field extraction |
| Plugin format adaptation configuration | Configure separately by document type | Business documents include multiple formats; targeted parsing rule configuration is required to fully extract core fields |
Three Common Mistakes
- Tool calls output full running records and cannot be hidden. Cause: The tool call log display switch is not turned off, causing detailed execution steps of each call to be synchronously output to the conversation interface.
- Variable values accumulate after a call, for example, the last variable result includes the content of the previous variable. Cause: Structured output verification for
functionCallis not enabled; the model does not properly isolate the results of different tool calls, causing content splicing confusion. - Tool call duration exceeds 15 seconds. Cause: The number of data sources and parsing complexity per call are not limited; multi-source data synchronization requests exceed system processing thresholds, causing timeouts.
How to Verify Proper Configuration
- View the tool call configuration page and confirm that
toolChoiceis set to auto andfunctionCallis enabled. - Trigger a scheduled tool call and check that the number of returned data sources matches the configured number of data sources per call.
- Check the field format of the tool call result to confirm there are no unit confusion or content accumulation issues.
- Simulate the trigger scenario after an audit node is completed to verify that the tool call starts normally and generates corresponding ledger data.
The values provided 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.