What this category of data looks like
Daily documents for skincare, haircare, makeup, and special cosmetics manufacturers include formula work instructions, weighing and feeding records, emulsification or filling records, site cleaning records, semi-finished and finished product inspection records, and label review materials. Data sources include registered or filed formulas, raw material safety documents, production equipment such as weighing and emulsification devices, ERP/MES systems, laboratory data, and packaging material version information. Data is updated with each production batch or each line change. Core fields include formula raw materials, restricted substance content, equipment operating parameters, batch numbers, and packaging material matching information.
What constraints these characteristics impose on tool calling and plugins
Data updated per batch or line change requires tool calls to dynamically pull the latest batch production data. Static cached data may become outdated, so dynamic pulls are necessary. Restrictions on filed formulas and restricted substances require linking corresponding batch filing information for verification when calling equipment maintenance tools. Real-time operating parameters of production equipment must be read quickly. Tool call response times must match the equipment inspection cycle. Label review and packaging material matching requirements demand plugins support quick queries of association information between packaging material versions and batch numbers. This ensures maintenance or inspection operations comply with production specifications.
How to set configurations
All configurations below are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Tool call timeout threshold | 600 seconds | Matches the single-operation cycle of equipment inspection, to avoid waiting too long and disrupting production processes |
| Workflow/API tool selection | auto | Allows the system to automatically select tools matching equipment maintenance or inspection, to adapt to dynamic business scenarios |
| Workflow/API function-call configuration | enabled | Enforces the specified tool call format, to ensure compatibility with production system interfaces |
| Plugin permission scope | Only access ERP/MES and laboratory data interfaces | Prevents unauthorized access to sensitive production data |
| Context window size | First 2000 characters | Matches the average length of single-batch production documents, to avoid truncating core information |
| Result recall count | Top 5 entries | Focuses on the most relevant equipment maintenance history records and formula filing information |
Three common misconfigurations
- Symptom: Tool calls return a timeout status code. Logs show elapsed time over 600 seconds. Cause: No reasonable timeout threshold is configured. Real-time production equipment data cannot be retrieved in a timely manner.
- Symptom: Database connection plugins throw errors after setup. The error prompts field mismatch. Cause: Exclusive cosmetics production fields such as batch numbers and packaging material versions are not linked. The plugin attempts to read undefined production data fields.
- Symptom: The model call returns only one group of content, but conversation response time is excessive. Cause: The context window size is not limited. The system loads too many batches of historical production documents, increasing model processing time.
How to confirm configurations are correct
- Initiate a simulated equipment inspection tool call. Verify that returned results include current batch ERP/MES data and filed formula information.
- View tool call logs in FastGPT v4.17.0. Confirm that the timeout threshold,
toolChoice, andfunctionCallconfigurations match preset values. - Test the database connection plugin. Verify that cosmetics production-exclusive raw material safety documents and packaging material version information can be read normally.
- Check the result recall count configuration. Confirm that the number of returned equipment maintenance records meets business requirements.
The values listed here are common starting points, and should be evaluated against the reader's own samples.