What does the data for this category look like
Data sources include order and size charts, CAD patterns, fabric and accessory inspection records, hanging system data, needle detector results, and customer sample sealing materials. Updates are synchronized per order, per style, per batch. Daily documents include process sheets, patterns, layout plans, cutting orders, first-piece samples, process quality sheets, and packaging size matching sheets. Core fields include piece count of cut parts, fabric batch numbers, size ratios, process man-hours, and packaging size matching quantities. Common units are pieces, meters, batch numbers, and hours.
What constraints do these characteristics impose on the multi-turn dialogue and prompt engineering link
The category has diverse document types and high update frequency. Multi-turn dialogue must split context by document type to avoid mixing ledger data from different processes. Exclusive data for each order and style requires prompts to dynamically bind variables for the current production batch, making generic templates unusable. The irreversible nature of cut parts requires ledger checks to precisely match fields, with no deviations caused by fuzzy matching. The dense multi-process feature determines that multi-turn dialogue must gradually decompose ledger content to prevent context overflow from affecting response efficiency. Access to multi-source data requires prompts to explicitly specify fields associated with corresponding systems to avoid data confusion.
How to configure the settings
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
variables | Bind current order ID, size chart, fabric batch number | Aligns with the update frequency per order and style, to accurately match exclusive ledger data for the current production batch |
messages | Split the first 8 rounds of dialogue context by document type | The category has diverse document types; splitting avoids interference from mixed ledger data of different processes |
chatId | Bind the unique identifier of the current session | Distinguishes dialogue contexts for different orders to avoid confusion of session data |
| Maximum context length | 1200–1800 characters | Documents such as garment category process sheets and layout plans have moderate single-sheet length; excessive length causes context overflow |
| Number of single knowledge base recall entries | Top 6 | The category has multiple processes but single-process ledger fields are concentrated; excessive recall will interfere with core field matching |
| Dialogue timeout period | 600 seconds | Sufficient time must be reserved for dialogue processing after parsing large-size layout plan documents, calibrated based on actual measurements |
Three common misconfigurations
- Phenomenon: Dialogue fails to accurately associate order-specific data in the knowledge base. Cause:
variablesare not correctly configured to bind exclusive parameters of the current order, resulting in an overly large recall data range. - Phenomenon: A large number of separator characters | are displayed in the dialogue interface. Cause: The debug log switch during dialogue is not turned off; the output of intermediate thinking processes is enabled by default.
- Phenomenon: Dialogue response times out after parsing a 10+ MB Word document. Cause: Content is not split into chunks according to the category document structure; overly large single chunks increase recall and matching time.
How to confirm the configuration is correct
- Initiate a test dialogue, enter "Query the cut part ledger for the current order", and verify that the returned result includes the size and fabric batch information corresponding to the currently bound order ID.
- View the dialogue history to confirm that the context only retains document fragments related to the current production batch, with no data from other orders mixed in.
- Upload a layout plan document of around 10 MB, initiate a dialogue, and verify that the response time does not exceed the 600-second threshold.
- After turning off the debug switch, confirm that no separator characters | for intermediate thinking processes are displayed in the dialogue interface.
The values provided are common starting points and should be measured against the reader's own samples.