What the data for this category looks like
This category’s data includes bath solution analysis records, process parameter cards, fixture ledgers, film thickness and adhesion reports, hazardous waste management ledgers, wastewater monitoring records, and more. Most are archived PDF files. Data sources include customer surface treatment specifications, bath solution test results, rectifier operating data, online water quality monitoring equipment, and hazardous waste management systems. Updates occur per bath cycle, per shift, or at fixed monitoring intervals. Individual documents contain fields such as bath solution concentration, temperature, current value, film thickness unit μm, hazardous waste output kg, and are generated per operation node or monitoring cycle.
What constraints these characteristics impose on tool calling and plugin workflows
The multi-source heterogeneous data structure, high-frequency update rhythm, and fixed professional fields of this category create clear constraints for tool calling and plugin configuration. Cross-source bath solution test, equipment operation, and ledger data require plugins to support multi-format document parsing and cross-data source linkage. High-frequency updates per bath cycle or shift require tool calling to support real-time triggering, to avoid delays that disrupt production adjustments. Fixed professional fields such as film thickness μm, current A, hazardous waste output kg require plugins to accurately match field rules during data extraction, to prevent parameter confusion. Additionally, the associated audit requirement for hazardous waste and wastewater data requires that tool calling links be traceable, covering full-process records, to avoid subsequent rework or penalty risks.
How to set the configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Adapts to FastGPT v4.17.0’s multi-type tool calling framework, supports calls for locally deployed large models, and fits the deployment needs of different users |
| Workflow/API function-call configuration | enabled | Supports structured extraction of professional fields, meeting the accuracy requirements for audits in this category |
| Single tool call timeout | 300 seconds | Fits the standard response duration for bath solution analysis and equipment data reading, prevents process interruptions from timeouts |
| Maximum associated knowledge base per tool call | Adjust based on the number of documents at production line audit nodes | Avoids call delays caused by associating too much data, resolves issues with insufficient reference limits |
| Tool call trigger rule | Trigger per bath cycle/shift node | Matches the update frequency of this category, avoids invalid calls that consume resources |
| Document parsing format preset | Prioritize parsing tabular fields | Supports PDF-to-Markdown format parsing, covers the archived document types of this category. Most documents in this category contain structured parameters such as film thickness and current values, improving extraction efficiency |
| Result verification threshold | Calibrate based on actual testing | Parameter fluctuation ranges vary across production lines, adjustments must be made based on actual scenarios |
Three common mistakes
- Tool-extracted film thickness or current fields are empty or have abnormal values. This occurs because parsing rules are not preset for the structured documents of this category, and field naming across different documents is confused, leading to extraction results that do not meet audit requirements.
- Tool calls return timeout errors (status code 504). This occurs because the trigger frequency for high-frequency updates of this category is not adapted, and the set timeout period is too short to complete synchronous reading of multi-source data.
- Batch mismatches occur when audit results are associated with hazardous waste data. This occurs because data sources for tool calls are not bound per bath cycle or monitoring interval, leading to cross-batch data confusion. This may later cause excessive discharge risks or batch rework.
How to confirm the configuration is complete
- Upload a typical document for this category (such as a bath solution analysis record), trigger tool calling, and verify that the extracted fields include the preset professional parameters.
- Simulate the trigger process after a single bath cycle operation, check whether the response duration of tool calls meets the production line rhythm requirements.
- View tool call logs, confirm whether multi-source data (such as rectifier data, water quality monitoring records) is correctly associated.
- Adjust the trigger rule to per shift node, verify whether tool calls execute according to the preset cycle.
The values provided are common starting points and should be measured against the reader's own samples.