What the data for this category looks like
Expressway operation internal data sources include toll lane systems, road surface monitoring equipment, road patrol platforms, and employee attendance management systems. Data update rhythms are divided into real-time, daily, and periodic. Toll transaction data syncs every 5 minutes. Patrol report data updates daily. Employee scheduling and attendance data refreshes daily. Data documents use structured table formats. The toll transaction table includes site ID, lane number, transaction time, and transaction amount fields. Monitoring logs include device ID, alert time, and alert type fields. Employee data includes employee ID, position, and scheduling period fields. Field units are uniformly yuan, standard time format, and string type.
Constraints on Tool Calling and Plugins
High real-time toll and monitoring data require tool calling to support low-latency synchronous requests, to avoid timeouts disrupting office workflows. Fixed fields from multi-source structured data require precise parameter name matching during tool calling. Fuzzy matching cannot be used to obtain complete data. Parallel calling requirements for multiple data sources require plugins to support binding multiple system interfaces simultaneously, to avoid repeated configuration. The data update frequency must match the tool cache cycle. Otherwise, outdated employee scheduling or patrol data will be returned.
How to Configure Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
toolChoice | auto | Allows the model to independently select tools matching the expressway operation scenario, without forcing a single function to be specified |
| Tool call timeout | 300–600 seconds | Interface responses from toll systems and monitoring systems typically take under 200 seconds, so a reasonable buffer is reserved |
| Tool call context window | 8000–12000 token | Expressway operations involve multi-source data fields, so sufficient context is needed to transfer complete parameters and return results |
| Plugin data source binding | Bind toll system, patrol system, and employee attendance system | Covers core data sources for internal office and operations |
| Result return format | Structured JSON format | Expressway operation data requires precise field extraction to facilitate automatic processing by office systems |
Three Common Configuration Mistakes
- Calling a tool returns SyntaxError: Your model may not support tool_call. The cause is incorrect configuration of the
toolChoiceparameter, or the model not being compatible with FastGPT's tool calling format requirements. - Line charts returned by MCP tools cannot be displayed in the chat interface. The cause is failing to return chart data in the JSON-embedded base64 image format required by FastGPT, or failing to correctly specify the return content type.
- Calling a tool stream published as an API returns no response. The cause is failing to configure the authentication parameters for API calls, or the bound data source not opening corresponding access permissions.
How to Verify Proper Configuration
- Initiate a test conversation with a query request for expressway operation data, check whether the tool is automatically called.
- Review the tool call logs to confirm that the returned fields match the structure of expressway operation data.
- Call the published API interface to verify that the returned results include the expected operation data fields.
- Simulate abnormal data input to confirm that the error handling logic for tool calls is triggered normally.
The values provided are common starting points and should be evaluated using sample data from the specific deployment.
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.