This document applies to FastGPT v4.17.0
What the data for this category looks like
Data sources for this category include engineering orders, sand, gravel, cement admixture inspection records, aggregate moisture content measurement data, mixing station control system logs, and project laboratory archived documents. Data updates occur per production truck batch, each raw material shipment arrival, and daily summary archiving. Daily documents include mix proportion notices, opening identification forms, production and delivery orders, raw material inspection reports, test block test records, and structural strength reports. Fields cover raw material batch number, measured moisture content, mixing duration, pouring location, and test block compressive strength value, with corresponding units being batch number, kilograms per cubic meter, minutes, location code, and megapascals respectively.
What constraints these characteristics impose on tool calling and plugins
This category of data has high-frequency updates, is multi-source heterogeneous, and has complex association logic. This imposes multiple constraints on the tool calling and plugins workflow. High-frequency updates per truck and per batch require tool calling to support low-latency responses, preventing ledger data from lagging behind production progress. Multiple types of document data sources require plugins to adapt to different format reading logic, accurately matching exclusive document structures such as mix proportion notices and test block records. Specific field units and business associations require plugins to include built-in field mapping rules, automatically verifying moisture content and strength values to prevent data entry errors. Given the severe potential consequences of errors, tool calling must embed anomaly detection links to trigger alerts for slump anomalies and strength non-compliant data.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Automatically match required tools to pull multi-source data |
| Workflow/API function-call configuration | enabled | Enable tool calling to ensure complete acquisition of ledger data |
| Streaming output delay threshold | 1–2 seconds | Adapt to front-end display rhythm and avoid excessive waiting |
| Plugin data source refresh interval | After each truck production is completed | Match the update frequency of ready-mixed concrete per truck |
| Anomaly verification trigger rule | Based on actual field calibration | Adapt to equipment parameters and business standards of different mixing stations |
| Chrome plugin icon configuration | Upload PNG files that meet size requirements | Ensure normal display of plugin interface icons |
Three common errors
- Symptom: The streaming output return interval is fixed at 4 seconds and cannot be adjusted to 1–2 seconds. Cause: The streaming output delay threshold was not configured correctly, default parameters were retained, and custom delay configuration was not enabled via
functionCall. - Symptom: The Chrome plugin icon fails to display properly after packaging. Cause: Icon files that meet size requirements were not uploaded according to specifications, or the icon path was not correctly associated in the plugin configuration.
- Symptom: The specified workflow or plugin name cannot be obtained after calling the tool. Cause: The correct workflow identification field was not included in the request parameters, or plugin authorization binding was not completed.
How to confirm the configuration is correct
- Trigger a simulated single-batch production data pull, and check whether the tool automatically calls the corresponding data source and completes field matching.
- View the streaming output return interval to confirm it matches the preset front-end display rhythm.
- Complete the packaging and local installation of the Chrome plugin, confirm that the icon loads normally and the function runs properly.
- Send a request to obtain workflow information, confirm that the returned result contains the identification content of the target workflow and plugin.
The values provided here are common starting points and should be evaluated against the reader's own samples.