What data for this category looks like
This category of data comes from cell banks and seed lots, process analysis systems, clean zone monitoring data, MES, LIMS, and equipment integrity test results. Daily documents include cell bank or seed lot records, culture and purification records, aseptic filling records, environmental monitoring data, media fill simulation reports, sterility test results, and batch release materials. Data updates follow batch production, real-time monitoring, and fixed monitoring schedules. Document fields include batch numbers, parameter thresholds, monitoring times, equipment numbers, test results, and no additional custom units.
What constraints these characteristics impose on tool calling and plugin workflows
Data sources are scattered but strongly linked. Tool calling must pull equipment ledgers, historical inspection records, and real-time monitoring data across systems. Tool calling must support multi-data source linkage. Data update frequencies vary widely. Plugins must support on-demand real-time data pulling and batch historical data queries. Document structures are complex with fixed fields. Tool calling must strictly match preset field formats to avoid result errors caused by parameter incompatibility. Error consequences are severe. Tool calling results must undergo strict verification to prevent incorrect data from entering the Q&A workflow and causing compliance risks.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Adapts to the multi-data source linkage scenario of equipment inspection and maintenance Q&A, automatically calls corresponding tools to pull historical records and real-time data |
| Tool call timeout | 600 seconds | Equipment data pulling involves cross-system interactions, so sufficient time must be reserved for cross-data source queries |
| Context window length | Last 8 chat records | Equipment inspection and maintenance Q&A requires association with historical operation records, avoiding parameter overflow caused by overly long context |
| Workflow/API function-call configuration | Enabled | Must call preset text extraction plugins to extract key fault parameters from equipment logs |
| Plugin trigger rules | Trigger by equipment type | Inspection and maintenance documents and parameters differ significantly across different production equipment such as aseptic filling machines and purification systems, so precise matching of corresponding plugins is required |
| Knowledge base recall limit | Top 5 matching results | Biologics production documents are highly specialized. A small number of precisely matched results can cover common inspection and maintenance issues |
Three common misconfigurations
- Phenomenon: The intelligent Q&A interface returns a connection timeout or 500 error. Cause: The cross-system data pulling logic for biologics production scenarios is not adapted. Using generic interface configurations directly leads to excessive request load.
- Phenomenon: Subsequent questions cannot reuse the previously selected equipment knowledge base. Cause: The equipment classification context from historical conversations is not retained. Each Q&A resets tool trigger rules, making it impossible to associate the already selected knowledge base.
- Phenomenon: Text extraction plugins return empty results or abnormal fields. Cause: The fixed field formats of equipment documents are not matched. Plugins cannot extract valid parameters from aseptic filling records or batch release materials.
How to confirm configurations are set correctly
- Submit a simulated equipment inspection question to verify whether the tool automatically pulls historical maintenance records and real-time monitoring data for the corresponding equipment.
- Submit multiple consecutive questions to check whether the context retains historical equipment classification information, and whether subsequent questions can correctly associate the corresponding knowledge base.
- Trigger text extraction plugins to verify whether the extraction results match the preset field formats of equipment documents.
- Check the tool call logs in FastGPT v4.17.0 to confirm that the timeout setting meets the actual needs of cross-system data pulling.
The values provided are common starting points and should be measured against the reader's own samples.