This document is created for FastGPT v4.17.0.
What Data for This Category Looks Like
This category covers raw material warehouses, line-side warehouses, finished product warehouses, and logistics material control departments. Daily documents include receiving slips, putaway slips, material picking and return slips, inventory transfer slips, inventory count sheets, lot ledgers, first-in-first-out (FIFO) records, and expiration date records. Data mainly comes from ERP and WMS systems, barcode or RFID identification devices, purchase work orders, storage location configurations, AGV transport systems, and weighing equipment. Update frequencies include real-time (such as AGV position and weighing data), daily (such as inventory changes), and monthly inventory counts. Most documents contain fields including material code, lot number, storage location, quantity, inspection status, and expiration date. Common units include pieces, kilograms, cubic meters, and similar units.
What Constraints These Characteristics Impose on the Tool Calling and Plugins Workflow
Data for this category has significant real-time variability. Some data sources require short-cycle pulling, which imposes clear constraints on tool calling response latency. Multiple document types have overlapping but not identical fields. Plugins must support custom field mapping to unify cross-document verification logic. Associated verification of lots, expiration dates, and storage locations requires plugins to link multiple system data sources. This cannot rely solely on content from a single document. Large volumes of batch documents such as monthly inventory count sheets require plugins to support pagination pulling and batch processing. This avoids process exceptions caused by exceeding single-call limits.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Allows the model to independently determine whether to call a tool, adapting to dynamic scenarios for cross-document verification |
| Workflow/API function-call configuration | [{"name":"batch_audit","parameters":{}}] | Specifies the tool function for lot and expiration date verification, clarifying the calling target |
| Tool call timeout | 10–30 seconds | Adapts to pulling latency of real-time data sources, avoiding process blocking from long wait times |
| Maximum data per single tool call | first 20 records | Matches the single-processing scale of monthly inventory count sheets, preventing data overload |
| Field mapping rules | Calibrated based on actual testing | Adapts to field differences across system documents, ensuring field consistency for cross-document verification |
| Tool call retry count | 2 times | Addresses temporary network fluctuations, improving calling success rates |
Three Common Configuration Mistakes
- Tool calls return 401 status codes or
unAuthChaterrors. Cause: API key verification rules for tool calls are not configured correctly, or keys are not synchronized to the plugin deployment environment. - Preset push or verification actions do not trigger after plugin configuration. Cause: Trigger conditions and target addresses are not filled correctly in tool configuration, or access permissions for the corresponding systems are not enabled.
- Tool calls for long documents such as monthly inventory count sheets return incomplete results or invalid verification logic. Cause: No maximum data limit is set for single tool calls, leading to data overflow beyond the model’s processing range.
How to Verify Proper Configuration
- Manually trigger a tool call. Confirm returned data sources match real-time data from ERP and WMS systems.
- Simulate abnormal scenarios, such as documents for expired lot materials. Check whether the tool triggers corresponding verification logic.
- Review tool call logs. Confirm each call’s parameters match configured items, with no errors related to keys or permissions.
- Test the calling process for batch documents. Confirm the number of records processed per single call meets preset limit requirements.
The values provided here are common starting points, and should be evaluated against the reader’s own samples.