Data Characteristics for This Category
Data sources for this category include formula and process libraries, raw material batches, reactor DCS, weighing systems, LIMS, and warehouse systems. Data updates occur per batch and each critical step. Daily documents include batch production instructions, feeding review slips, reaction process records, cleaning validation records, inspection reports, deviation and change orders. Fields cover batch number, feeding amount (kg), reaction temperature (℃), reaction duration (hours), cleaning validation results, and some fields involve formula confidentiality requirements.
Constraints for Tool Calling and Plugins Workflow
Multi-batch switching production modes require tool calls to be triggered by binding batch IDs, to avoid cross-batch data confusion. Multi-source data access needs require tools to support interfacing with different systems, to ensure data accuracy. High update frequency requires that tool call contexts are limited to the scope of a single batch, to prevent redundant historical data from interfering with judgments. Formula confidentiality business requirements mandate filtering sensitive fields from tool call results to prevent information leaks. Cleaning record validation logic requires tool calls to bind cleaning data from the previous batch, to ensure production compliance.
Configuration Setup
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | Auto | Adapts to multiple tool call scenarios including feeding review and reaction end point judgment |
| Workflow/API function-call configuration | Triggered by binding batch ID | Ensures tool calls only apply to the current production batch, avoiding cross-batch data interference |
| Tool call timeout threshold | 600 seconds | Matches average data response times of reactor DCS and LIMS systems |
| Tool result filtering rules | Hide formula fields | Complies with formula confidentiality business requirements |
| Context window limit | Single batch document scope | Reduces impact of irrelevant historical data on tool call judgments |
Three Common Configuration Mistakes
- Tool call results are displayed directly in the conversation interface, including unauthorized formula fields. No tool result filtering rules are configured, and sensitive business fields are not hidden.
- Termination commands cannot be sent to running MCP server-side tools, allowing tools to continue executing beyond the batch time limit. No batch termination trigger conditions are bound in tool call configurations, and no preset termination instruction call logic is implemented.
- Model tool calls output mid-interruption, returning incomplete inspection and audit results. The context window is not limited to the single batch data scope, and excessive historical data triggers model output truncation.
How to Verify Configuration Success
- Initiate a simulated single-batch feeding review tool call, and check whether sensitive fields have been filtered from the output results.
- Send a termination instruction to a running simulated tool, and confirm that the tool process stops normally.
- View tool call logs, and confirm that call trigger conditions only bind the current production batch ID.
- Simulate multi-batch data input, and verify that the model output does not experience mid-interruption truncation.
The values provided are common starting points and should be measured against the reader's own samples.