Tender Document and Quotation Preparation for Dyeing and Finishing Industry: Tool Calling and Plugins

The core data for this category comes from customer color swatches, formula libraries, dye chemical batch records, dye vat control parameters

What the data for this category looks like

The core data for this category comes from customer color swatches, formula libraries, dye chemical batch records, dye vat control parameters, colorimeter data, setting machine process parameters, and environmental protection monitoring logs. Data update frequency is per vat, per batch, or per shift. Single update content includes documents such as dyeing formulas, chemical weighing records, dye vat curves, proofing confirmation sheets, color difference reports, setting process sheets, and sewage logs. Most documents contain structured fields such as dye ratio (g/L), heating rate (℃/min), holding time (h), etc. Some are time-series format dye vat operation curve data.

What Constraints These Characteristics Impose on Tool Calling and Plugins

The high-frequency update nature of this category's data requires tool calling to support real-time pulling of the latest batch of dye chemicals and dye vat parameters. The mixed structured and time-series document format requires plugins to adapt to semi-structured field parsing and time-series data extraction. Multi-source device and on-site record data sources require tool calling to connect to data sources in different formats. The precise matching requirement for color and process parameters requires ensuring that the content returned by tool calling has no field ambiguity, avoiding tender deviations caused by data errors.

Configuration Setup

This document is written for FastGPT v4.17.0. The following configuration items can be adjusted directly in the platform interface or configuration files:

Configuration ItemRecommended Value RangeRationale
Chunk Length800–1200 charactersAdapt to semantic splitting of semi-structured documents such as dyeing formulas and dye vat curves, avoiding truncation of core fields
Similarity Threshold0.75–0.85Match the accuracy of customer color swatches and historical formula libraries, filter irrelevant non-dyeing and finishing business data
Single Tool Call LimitTop 3 entriesControl the data source range for single-round quotation generation, preventing context overload from affecting output logic
Workflow/API tool selectionFixed to functionCallUnify the trigger rules for tool calling, ensuring the output format meets the structured requirements of tender documents
Workflow/API function-call configurationForce enabledUsed to accurately call business data such as dyeing formulas and dye vat parameters in tender documents, avoiding generation of non-preset content
Tool Call Timeout600 secondsAdapt to batch parsing of dyeing and finishing documents and multi-data source pulling, avoiding process interruption caused by long waiting times

Three Common Misconfigurations

  • Tool calling returns empty results, because the data source mapping corresponding to the target dye chemical batch is not configured, making it impossible to pull the required business data.
  • Parsing failure occurs when the plugin processes dyeing formula documents, because the parsing rules of the Doc2x plugin are not adapted to the structured field format of the dyeing and finishing industry.
  • No associated dye vat curve file is returned when calling the knowledge base, because the file traceability parameter of tool calling is not configured.

How to Verify Correct Configuration

  • Upload a dyeing formula document, trigger tool calling, and check that the returned results include core business fields such as dye ratio and heating parameters.
  • Initiate a simulated tender request, check that tool calling only returns preset dyeing and finishing business data, with no redundant irrelevant content.
  • View the knowledge base traceability log, confirm that associated files such as dye vat curves and color difference reports are correctly identified and linked during the call.
  • Adjust the single tool call limit to 2, check that the number of returned data sources meets the preset quantity requirements.

The values provided are common starting points and should be measured against the reader's own samples.