What the Data for This Category Looks Like
Data for this category originates from engineering orders, sand, gravel, cement and admixture testing, moisture content measurement, mixing plant control systems, and project laboratories. Daily documents include mix proportion notices, batch opening verification records, production and transport slips, raw material inspection records, test block ledgers, and strength reports. Data updates follow three rhythms: each vehicle production batch, each incoming raw material batch, and daily laboratory testing. Data fields include raw material moisture content, mix proportion parameters, slump index, and test block strength values, with units including kilograms, cubic meters, millimeters, and megapascals.
Constraints Imposed by These Characteristics on Tool Calling and Plugins
This category has high-frequency, fine-grained data updates. Tool calling must support real-time retrieval of the latest moisture content and production order data, to avoid using expired static documents. Multiple mixed document formats are present, so plugins must adapt to test records and production documents with varying structures, and require unified field mapping rules to be configured. A single call must handle multi-source data aggregation, so tool parameters must support filtering data by batch and raw material type, to avoid returning redundant information. Test block strength reports require delayed verification, so tool calling must support historical data backtracking across time ranges to match the time span requirements for quality traceability.
Configuration Settings
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | Calibrated based on actual measurements | Adapts to multi-type tool calling requirements in ready-mixed concrete scenarios, supporting functions such as raw material inspection and test block strength traceability |
| Tool call timeout | 60–120 seconds | Adapts to the aggregation time of multi-source production and test data, preventing call interruptions caused by data pulling delays |
| Document filtering rule | Match by production batch | Aligns with the vehicle- and batch-based update rhythm of ready-mixed concrete, accurately associating mix proportion and inspection data for the current batch |
| Workflow/API function-call configuration | Enable field validity check | Verifies the format and value range of core fields such as moisture content, slump, and strength values, filtering invalid call requests |
| Plugin data source binding | Bind mixing plant control system and laboratory testing interfaces | Pulls real-time updated production data and test records, ensuring the timeliness of traceability data |
| Result return limit | Top 3–5 entries | Focuses on associated data for the current batch, avoiding redundant historical information that interferes with analysis |
Three Common Misconfigurations
- Phenomenon: Calling a BI chart plugin returns the fixed address
api.example.com, and cannot replace it with the enterprise’s internal interface address. Cause: The target interface address was not updated in the plugin configuration, and the default placeholder configuration was used directly. - Phenomenon: Issuing a call via the
/api/core/dataset/updateinterface returns a 500 error, but accessing the interface via a browser works normally. Cause: No authentication parameters for API calls were configured, and the server rejected the unauthorized external call request. - Phenomenon: Calling an external model in a workflow does not support streaming output, and results are returned all at once only after the call ends. Cause: The streaming return configuration for
functionCallwas not enabled, or the correct output format for streaming data transmission was not set.
How to Verify Proper Configuration
- Initiate a tool call for the current production batch, verify that the returned data includes mix proportion, raw material moisture content, and test block strength records, confirming that the data source binding is correct.
- Trigger the field validity check, input a slump value outside the reasonable range, confirm that the call is intercepted and an error prompt is returned, verifying that the check configuration is active.
- View the plugin call log, confirm that the interface address matches the enterprise’s internal system, verifying that the target address configuration is correct.
- Start a streaming output test, confirm that analysis results are returned segment by segment when calling an external model, verifying that the streaming configuration is active.
The values provided here are common starting points, and should be evaluated against the reader’s own samples.