This document is written based on the tool calling and plugin features of FastGPT v4.17.0.
What typical data looks like for this category
Typical data for this category comes from daily production documents and equipment data in automotive body panel, home appliance sheet metal, and hardware stamping workshops. Daily documents include stamping work instructions, material utilization tables, mold inspection checklists, first/last piece records, dimensional inspection reports, and mold change records.
Data sources cover steel coil labels and quality certificates, punch and feeder data, mold management systems, MES, coordinate measuring machine or fixture data. Data updates occur per coil of material, per production batch, and each time a mold is changed. Document structures include standardized fields: furnace number and yield strength (unit MPa) on steel coil labels, drawbead parameters and blank holder force (unit kN) in work instructions, and mold number and mold change time in mold change records.
What constraints do these characteristics impose on tool calling and plugins
This category’s data is multi-source and updated frequently. Tool calling plugins must adapt to multi-format document extraction and high-frequency trigger scenarios.
Multi-source data includes structured data exported from equipment, paper scanned inspection records, and spreadsheet documents exported from systems. Plugins must support cross-format text and structured parameter extraction. The high-frequency update rhythm requires short single tool calling durations. This avoids slowing down workshop review processes.
Document fields have minor differences across batches and mold change scenarios. Tool calling configurations need flexibility to adapt to field matching logic for different documents. Review results for this category directly relate to production quality. Tool calling output must use verifiable structured formats. This avoids ambiguous results affecting subsequent decision-making.
How to set the configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Adapts to automatic tool calling for multiple types of stamping documents, covering different sources such as equipment data, paper records, and system-exported documents |
| Workflow/API function-call configuration | Enabled | Supports structured extraction of key parameters from stamping documents, such as core production indicators including mold gap, blank holder force, material utilization rate |
| Maximum duration of single tool call | 30–60 seconds | Adapts to the high-frequency review rhythm per coil or each mold change, avoiding interruption of production-related review processes due to timeout |
| Number of context entries for text extraction nodes | Previous 4–6 entries | Matches the batch update frequency of daily workshop documents, avoiding interference from redundant historical data with key information extraction for current reviews |
| Tool call trigger threshold | Calibrated based on actual measurements | Needs to adapt to document format differences across workshops, avoiding false triggers or missed triggers of review processes |
Three common mistakes
- Phenomenon: Text content extraction nodes return empty results or format errors. Cause: Failed to adapt to multi-source document formats in stamping workshops, such as paper scanned documents and complex spreadsheets exported from systems, causing the extraction logic to fail to match target fields.
- Phenomenon: Format errors are returned when calling a multimodal model for image dialogue. Cause: Failed to set the correct input format for photos of stamping mold inspection checklists and scanned copies of dimensional inspection reports, causing abnormal model parsing.
- Phenomenon: External tool interface calls are rejected. Cause: Failed to correctly configure permission parameters for tool calls, causing cross-system requests to be blocked.
How to confirm the configuration is correct
- Upload a sample stamping work instruction, run the tool calling workflow, and check whether key production fields such as drawbead parameters and blank holder force are successfully extracted.
- Simulate document submission for a mold change scenario, verify whether the tool call completes within the set duration and returns structured review results.
- Upload a photo of a mold inspection scene, call the multimodal model tool, and check whether the mold number and inspection item content in the image can be correctly identified.
- Configure the external tool call node, call a simulated mold management system interface, and verify whether cross-system requests can be triggered normally and return corresponding data.
The values provided here are common starting points and should be measured against the reader's own samples.