What this category of data looks like
This category covers production and quality records across the entire dyeing and finishing workflow. Core documents include dyeing formulas, chemical feeding ledgers, dye vat temperature curves, sample confirmation sheets, color difference test reports, setting process parameter sheets, and sewage discharge ledgers.
Data sources include customer color sample physical objects and electronic files, internal formula libraries, dye chemical batch records, dye vat PLC control systems, online colorimeters, setting machine operating data, and environmental monitoring terminals.
Data updates align with production batches. New records are generated for each dyeing vat, each chemical feeding batch, and each shift’s operation. Fields include professional parameters with units such as temperature ranges, feeding amounts, color difference ΔE values, and discharge concentrations.
What constraints these characteristics impose on tool calling and plugins
The production data of this category has strong batch attributes, real-time performance, and high professionalism. Each dye vat’s production curve and color difference report are independent but linked batch data.
Tool calling must accurately match documents associated with the target batch. It cannot rely on general global knowledge base retrieval. Data fields also include professional chemical parameters and environmental protection indicators. When calling plugins, the retrieval scope must be strictly limited to documents linked to the current production batch to avoid interference from cross-batch data.
Real-time updated dye vat operating data requires the context synchronization frequency of tool calling to match production rhythm. Fixed-cycle knowledge base refresh mechanisms cannot be used.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Automatically matches process-related tool calls to adapt to batch-based professional retrieval needs |
| Workflow/API function-call configuration | Enabled | Allows calling built-in plugins for formula matching and color difference analysis to handle professional questions about dyeing processes |
| Single retrieval limit | Top 3 entries | The number of documents related to a single batch of this category is limited. Excessive retrieval will introduce irrelevant batch data |
| Context window length | 8000–12000 characters | Must fully carry long document content such as dye vat curves and process sheets to ensure context integrity during tool calling |
| Tool call timeout | 600 seconds | Matches the average response time of dye vat data retrieval to avoid long waiting periods |
| Plugin call retry count | 2 times | Prevents process interruption caused by a single retrieval failure |
This configuration applies to FastGPT v4.17.0.
Three common configuration errors
- Phenomenon: The answer returned by the API call does not match the answer tested within the platform, with data mismatches or missing fields. Cause: The exclusive knowledge base bound to the current production batch is not specified in the API request. The global dataset is called by default, and exclusive process data for single-vat dyeing and finishing cannot be matched.
- Phenomenon: The corresponding workflow for a target process cannot be triggered when calling a tool. For example, a dyeing formula query triggers a setting process workflow. Cause: Independent workflow trigger conditions are not configured for different dyeing and finishing processes, so tool calling cannot distinguish process types.
- Phenomenon: The plugin call returns an empty result or a response timeout. Cause: The retrieval scope is not limited to documents such as dye vat curves and color difference reports for the current batch. Retrieving full historical data exceeds the context window limit.
How to confirm the configuration is correct
- Initiate an API call with the batch number parameter of the current production batch, and check if the returned result includes the dye vat curve data of this batch.
- Trigger process questions for the dyeing and setting processes separately, and confirm that the tool call matches the corresponding workflow.
- View the tool call log to confirm that the
toolChoiceparameter is set toautoandfunctionCallis enabled. - Test calling the color difference analysis plugin, and check if the returned result includes professional parameters such as ΔE values.
The values listed above are common starting points, and should be evaluated against the reader’s own samples.