What data looks like for this category
The data for this category typically comes from ERP/WMS systems, barcode or RFID collection devices, purchase work orders, storage location management modules, AGV or conveyor systems, and weighing equipment. 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) and expiration date records. Data update frequencies include real-time (such as barcode-scanned warehouse entry), daily (such as inventory summaries), and monthly inventory counts. Core fields include material codes, lot numbers, storage location codes, expiration dates, inspection statuses, and weighing values.
What constraints these characteristics impose on the tool calling and plugins workflow
Multi-source data access imposes constraints: The workflow must support connecting to APIs of multiple data sources such as ERP/WMS and RFID collection systems, and adapt to document data in different formats. Field specificity imposes constraints: The workflow must accurately bind core fields such as lot numbers, expiration dates, and storage location codes to avoid mismatches from generic fields. Differences in update frequencies impose constraints: The workflow must support configuring different synchronization cycles to distinguish real-time scanned data from daily and monthly summary data. Business requirements for inventory accuracy impose constraints: Tool calling results must include verification logic to ensure the matching accuracy of material identities, lots, and inspection statuses.
How to configure settings
The following configurations are based on the tool calling and plugins system of FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | Specify tool list | This category requires precise calling of dedicated tools such as lot query, inventory verification, and expiration date check to avoid generic tools disrupting business processes |
| Workflow/API function-call configuration | Force trigger | Lot traceability and defect analysis require stable calls to data interfaces, avoiding AI autonomous tool selection that may interrupt workflows |
| Tool call timeout duration | 300–600 seconds | Multi-source data synchronization may take a long time, and this range covers typical durations for RFID batch scanning and ERP data pulling |
| Number of returned entries per tool call | Top 10 | Lot ledgers and inventory data have moderate volume; excessive returned entries increase context load and reduce analysis efficiency |
| Tool call failure retry count | 2 times | Network fluctuations or temporary ERP interface lag can be resolved through retries, avoiding workflow failure from a single call |
Three common configuration errors
- Symptom: No termination configuration is added at the end of the tool calling workflow, and returned results include undefined tool calling code such as incorrectly formatted tool names and parameters. Cause: The termination trigger condition for
functionCallis not configured, causing the AI to continuously attempt to call unregistered tools. - Symptom: Lot data fields returned by tool calls are missing, such as empty expiration date or storage location code fields. Cause: Core business fields for this category are not bound in tool configurations, and generic tool calls fail to match the dedicated data structure of lot ledgers.
- Symptom: Tool calls trigger timeout errors, returning timeout prompts or status codes. Cause: The configured timeout duration is shorter than the time required for multi-source data synchronization, and does not cover typical execution durations for RFID batch scanning and ERP data pulling.
How to verify successful configuration
Users can run a single lot traceability query, verify that the returned tool calling results include the preset dedicated warehousing tool list, and confirm that the toolChoice configuration is active. Users can simulate network fluctuations or ERP interface lag scenarios to trigger a tool call failure, verify that the configured number of retries is triggered, and confirm that the failure retry count configuration is active. Users can view tool calling logs, verify that returned fields include core business fields for this category such as lot numbers, expiration dates, and storage location codes, and confirm that the field binding configuration is active. Users can test batch barcode-scanned warehouse entry scenarios, verify that tool calls complete data pulling within the set timeout duration, and confirm the reasonableness of the timeout duration configuration.
The values provided here are common starting points and should be measured against the reader's own samples.