What the data for this category looks like
Core data for furniture and wood product manufacturing comes from order design systems, sheet material and wood batch ledgers, CNC cutting and drilling equipment logs, ERP/MES systems, and moisture content test records. Daily production documents include order breakdown drawings, cutting lists, edge banding and drilling programs, coating process specifications, hardware accessory lists, trial assembly and packaging records.
Data updates occur in line with orders, daily, or per material batch. Different documents have dedicated fields. For example, order breakdown drawings include panel dimensions and hole position coordinates, while cutting lists note sheet material specifications and usage quantities.
What constraints do these characteristics impose on the tool calling and plugins workflow
The custom order-driven nature of this category means production data is tightly bound to individual orders. Tool calling must accurately associate parameters such as the current order's panel ID and sheet material batch to avoid mixing data across orders.
The multiple types of production documents and high-frequency update rhythm require plugins to support real-time pulling of the latest process parameters and sheet material moisture content data, while also being compatible with the calling formats of unstructured data such as order breakdown drawings and CNC programs.
The large number of panels and the direct impact of errors on installation progress mean the parameter verification link of tool calling must cover core fields such as dimensions, hole positions, and hardware models to prevent incorrect data from entering the process Q&A flow.
How to set configurations
These configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Adapts to the dynamic tool calling needs of process specification Q&A, automatically matching the corresponding production data interface |
| Single call timeout | 600 seconds | Pulling batch cutting lists and sheet material batch data requires a long processing cycle, preventing call interruptions due to timeout |
| Context window | 8000–12000 token | Accommodates the complete content of order breakdown drawing descriptions and multiple process documents, ensuring sufficient Q&A context |
| Maximum recall results | Top 3 | Avoids excessive irrelevant process entries interfering with accurate Q&A, focusing on core process specifications |
| Plugin retry count | 2 times | Offsets temporary call failures caused by network fluctuations, improving call stability |
Three common mistakes
- Symptom: Calling a third-party process data interface returns a 502 error, while local testing via APIFOX works normally. Cause: The FastGPT plugin is not correctly configured with the authentication parameters in the request header, or the interface domain name has not been added to the system whitelist.
- Symptom: Calling the CNC program query tool returns an empty result. Cause: The current order's panel ID parameter is not associated, causing the tool to fail to match the corresponding production data.
- Symptom: The process content returned after plugin calling is incomplete. Cause: The context window configuration has not been adjusted, causing long-text process documents to be truncated.
How to verify correct configuration
- Initiate a single process Q&A request, check whether the tool call automatically triggers the corresponding production data interface.
- Simulate order data changes, call the plugin to verify whether updated sheet material batch or process parameter information is pulled.
- View the plugin running logs to confirm that the request parameters match the configured settings.
- Test abnormal network scenarios to verify whether the plugin retry mechanism is triggered and the call is restored.
The values provided here are common starting points and should be measured against the reader's own samples.