What this category's data looks like
Data for this category primarily comes from raw fiber inspection, ERP systems, spinning and loom operation data, evenness testers, fabric inspectors, and order specification documents. Its update rhythm syncs with each batch of raw materials, each shift’s production, and each bolt of fabric produced. Daily retained documents include cotton blending or batching lists, process setup sheets, equipment operation records, yarn inspection reports, grey fabric inspection records, and defect ledgers. Fields cover fiber fineness indicators, spinning twist parameters, loom speed, defect types, bolt numbers, and order batches, with format differences across production stages.
What constraints these characteristics impose on tool calling and plugins
Because data sources are scattered and update frequency is high, tool calling must support synchronized reading from multiple data sources to avoid single-call timeouts. Document formats vary across production stages, so plugins must adapt to unstructured text parsing and cannot rely on fixed field extraction rules. Defect records for each bolt of fabric are strongly bound to the batch, so complete bolt number and order batch parameters must be passed during tool calling. Otherwise, accurate traceability cannot be completed. Additionally, real-time performance requirements for production data are high, so the response delay of plugin calls must match production cycles and should not be excessive.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Supports automatic calling adapted to multiple types of production data sources, no manual tool specification required |
| Workflow/API function-call configuration | Enabled | Enforces plugin calls to follow standardized parameter formats, reducing the probability of parsing errors |
| Single tool call timeout | 600 seconds | Covers the time required for batch data pulling from multiple devices, matching production data synchronization rhythm |
| Input parameter validation | Enable bolt number and order batch field validation | Ensures accurate batch information to support precise quality traceability |
| Plugin retry count | 2 times | Addresses temporary call failures caused by network fluctuations, avoiding interruptions to production processes |
| Context window size | Set based on actual measurements | Adapts to the length requirements of multiple process documents corresponding to a single batch of raw materials |
Three common misconfigurations
- Tool calls in the workflow work normally in debug mode but throw errors in runtime mode. The cause is that data source access permissions for the production environment are not configured in runtime mode, or environment variables do not sync the configuration from the debug phase.
- Plugin calls fail to connect. When deploying locally, using 127.0.0.1 cannot access the service. The cause is network isolation within the container; use the internal container service domain name or correct host mapping port instead.
- The workflow runs with error logs from an uncalled model. The cause is that the workflow retains deleted model call nodes, or the system caches old workflow configurations that have not been updated.
How to confirm the configuration is correct
- Trigger a tool call manually using the FastGPT v4.17.0 system, and check if returned results include correct bolt number and order batch information with no missing fields.
- Simulate network fluctuations in the production environment, observe whether plugin calls automatically retry according to the configured retry count, with no direct errors occurring.
- Compare tool call logs between debug mode and runtime mode, confirm that parameter transfer and permission configurations are completely consistent.
- Adjust the context window size, verify that parsing and calling of long documents work normally with no truncation or timeout issues.
The values provided here are common starting points and should be measured against the reader's own samples.