What Data for This Category Looks Like
The data for this category primarily comes from ERP/WMS systems, barcode or RFID collection devices, purchase work orders, storage location management modules, AGV transport systems, and weighing equipment. Daily documents include receiving slips, putaway slips, material picking and returning slips, inventory transfer slips, inventory count sheets, lot ledgers, first-in first-out (FIFO) and expiration date records. Fields cover material codes, lot numbers, storage location numbers, expiration dates, inbound quantities, inspection statuses, and more. Units are mostly pieces, kilograms, and days. Data update frequencies are divided into real-time (such as storage location changes, AGV operation data), daily (such as material picking and returning statistics), and monthly inventory (full warehouse book-to-physical inventory reconciliation).
What Constraints Do These Characteristics Impose on Tool Calling and Plugins
The data for this category originates from multiple sources and has significant differences in update frequencies. Tool calling must distinguish between real-time collected storage location and AGV operation data, daily updated material picking and returning statistics, and monthly generated inventory count sheets. This prevents mixing static and dynamic data sources. The strong correlation between lot and expiration date fields requires plugins to perform linked verification of the matching relationship between material codes, lot numbers, and expiration dates when called. This stops expired materials or mismatched lots from being used. Access requirements for multiple hardware interfaces (such as RFID readers, AGV scheduling systems) require plugin configurations to support permission verification and data format conversion for different protocols. This ensures calling stability.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Adapt to the dynamic calling requirements of multi-source data. No manual tool specification is required. This configuration is based on the tool calling logic of FastGPT v4.17.0. |
| Single tool call limit | Top 3 entries | Avoid returning excessive redundant data in a single call, and match the field density of warehousing-related documents. |
| Tool call timeout period | 15-25 seconds | Cover the conventional time range for AGV data pulling and ERP interface responses, calibrated based on actual testing. |
| Context window size | 8000-12000 tokens | Accommodate context information from multiple documents such as lot ledgers and inventory count sheets. |
| Knowledge base recall count | Top 6 entries | Balance recall accuracy and response speed, and match the field complexity of warehousing-related documents. |
| Workflow/API function-call configuration | Strict mode | Ensure the parameter format of tool calling aligns with the requirements of ERP/WMS interfaces, and avoid format errors. |
Three Common Misconfigurations
- Phenomenon: Batch information returned by API calls lacks the expiration date field, while online chat results are complete. Cause: The API call did not correctly configure the context window parameter, and did not load the associated documents of the lot ledger.
- Phenomenon: Generated pie charts cannot be rendered normally in the preview interface. Cause: The standard Markdown chart syntax supported by the platform was not used, or the tool plugin permission for chart generation was not enabled.
- Phenomenon: Local MCP services cannot be successfully added to the tool set. Cause: The correct MCP service address and port were not configured on the platform, or the access permission for the local service was not enabled.
How to Verify Successful Configuration
- Initiate a simulated API call, pass a test question that includes material codes and lot numbers, and check whether the returned tool call parameters include the expiration date field.
- View the tool call logs to confirm that the response duration of AGV and ERP interfaces does not exceed the configured timeout period.
- Manually trigger a tool call to verify that the generated Markdown charts can be displayed normally in the platform's preview interface.
- Compare the results of the same question from online chat and API calls to confirm that the returned batch information and tool call results are consistent between the two.
The values provided are common starting points and should be measured against the reader's own samples.