What the data for this category looks like
This category covers cotton spinning, chemical fiber spinning, woven and knitting enterprises. Core daily documents include cotton blending or ingredient lists, process setup sheets, equipment operation records, yarn inspection, grey fabric inspection, and defect records. Data sources include raw fiber inspection, ERP systems, real-time data from spinning machines and looms, evenness testers, fabric inspection machines, and order specification documents. Update frequency is once per raw material batch, per shift, and per piece of fabric. Fields include fiber fineness (unit: tex), spinning twist, loom speed, defect type, order gram weight and other industry-specific parameters. Most formats are structured industrial reports or native device output logs.
Constraints on Tool Calling and Plugins
Multi-source heterogeneous data sources require tool calling to adapt to different interface formats. For example, relational data from ERP systems and real-time stream data from looms. High-frequency update cycles require tool calling to support low-latency triggering. This avoids delays in process document generation caused by waiting timeouts. Industry-specific fields and units require plugins to include built-in parsing rules. This ensures pulled data directly matches the filling requirements of process documents. Continuity of defect records requires tool calling to batch pull full inspection data for a single piece of fabric. This data is used to generate exception reports.
Configuration Settings
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | Set to auto and bind a specified tool list | Adapt to multi-tool calling scenarios for process document drafting and exception report generation |
| HTTP Toolkit Timeout | 600 seconds | Match typical delays for industrial device data pulling |
| Number of Tool Call Results Returned | Top 5 entries | Match valid record volume for single-batch yarn or grey fabric inspection |
| Workflow/API function-call configuration | Enable mandatory format validation | Ensure output fields comply with standard formats for cotton blending lists and process setup sheets |
| Plugin Data Source Configuration | Bind corresponding interfaces for ERP, evenness testers, and fabric inspection machines | Cover core data sources for this category |
Three Common Configuration Mistakes
- Failing to bind spinning and weaving-specific tools when configuring
toolChoiceleads to generic tools being unable to parse industry fields such as fiber fineness and twist, resulting in empty return results. - Not configuring Oracle database connection parameters for the HTTP toolkit leads to failure to pull ingredient list data from ERP systems, triggering connection timeout errors.
- Not adjusting output rules after enabling
functionCallmandatory validation causes the tool call node to output both AI natural language responses and structured tool results, which does not meet drafting requirements.
How to Verify Proper Configuration
- Trigger a tool call for drafting a cotton blending list. Check if the return result includes fields such as fiber grade and cotton blending ratio, and if the format matches the preset process setup sheet template.
- Call the HTTP toolkit to connect to the Oracle database. Verify that equipment operation record data from the past 24 hours can be pulled, with no timeout or connection failure errors.
- After enabling
functionCallmandatory validation, check the output of the tool call node. Confirm that only structured process parameters or defect records are returned, with no additional AI natural language content. - Simulate a trigger event for a raw material batch update. Check if tool calling starts automatically, and if the pulled data update time matches the raw material batch.
The values provided are common starting points and should be measured against the reader's own samples.