What this category's data looks like
This category's data comes from original fiber inspection reports, ERP systems, spinning and loom operation data, results collected by evenness testers and fabric inspectors, and order specification documents. Daily documents include cotton blending lists, process setup sheets, equipment operation records, yarn inspection sheets, grey fabric inspection sheets, and defect ledgers. Users update data synchronously with each batch of raw material feeding, each shift's equipment operation, and each roll of fabric produced. Document fields include fiber indicators, twist parameters, loom speed, defect types, and corresponding batch numbers. Units cover textile-specific units such as metric count, twist coefficient, and meterage.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering link
The multi-batch update nature of category data requires multi-turn dialogue to associate historical data for the corresponding batch, to avoid mixing parameters across batches. Specialized fields and textile units require prompts to clearly specify the format of parameters such as fiber indicators, twist, and defect grade, to prevent generating tender documents or quotations that do not meet industry standards. The real-time nature of equipment and inspection data requires dialogue contexts to limit batch data from the last 7 days, to avoid calling outdated information. The scattered nature of multiple document sources requires multi-turn dialogue to call knowledge base content grouped by order number, to ensure parameter consistency between quotations and tender documents.
How to set up the configuration
These configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
variables | Bind batch data by order number | Adapt to the category data's update pattern by order or batch, ensure parameter consistency |
| Maximum context length | 800–1200 characters | Adapt to the typical length of single-batch textile documents, avoid context overflow |
| Maximum dialogue turns per session | First 6 rounds | Match the typical communication steps for tender document preparation |
chatId | Configure by order group | Ensure context consistency for dialogues in the same batch |
| Prompt template | Fix textile parameter format | Explicitly require the use of specialized units such as metric count and twist coefficient |
messages | Organize dialogue history by batch | Filter irrelevant conversation content, focus on current order requirements |
Three common mistakes
- Phenomenon: Dialogue return results include original tool call logs, and irrelevant content is not filtered. Cause: The prompt does not explicitly require hiding tool call steps, or no filtering rules for dialogue results are configured.
- Phenomenon: After importing Markdown format documents, image links lose their domain name prefix, and cannot be displayed normally in dialogue. Cause: No unified image domain name replacement rule is configured during the document conversion stage, and the rule only takes effect when importing Word files.
- Phenomenon: Parameters across batches are incorrectly associated in multi-turn dialogue, leading to incorrect fiber indicators in quotations or documents. Cause: The
variablesparameter is not bound by order number, causing the context to call data from irrelevant batches.
How to verify the configuration is correct
- Upload a single batch's cotton blending list and order specification documents, start the first dialogue, and check whether the returned parameters include correct textile-specific units and indicators.
- Start a multi-turn dialogue, ask for parameters of different orders in sequence, and check that the context called each time only associates the bound data for the current order.
- After configuring tool calls, start a dialogue that includes tool calls, and check that the returned results only include AI-organized tender documents and quotation content, with no original tool logs.
- Import Markdown format documents, check that image links have the preset domain name prefix, to ensure they can be loaded normally in dialogue.
The values provided here are common starting points, and should be evaluated against the reader's own samples.