What Data Looks Like for This Category
Core data for warehousing, lot tracking, and in-plant logistics scenarios typically originates from ERP/WMS systems, barcode or RFID devices, purchase work orders, storage location archives, AGV or conveyor systems, and weighing equipment. Documents involved in daily interactions include receiving slips, putaway slips, material picking and return slips, inventory transfer slips, inventory count sheets, lot ledgers, first-in first-out (FIFO) records, and expiration date records. Data update frequencies include real-time (such as AGV status and barcode scan data), daily (such as inventory discrepancy statistics), and monthly (such as summary of expired materials). Core fields include material code, lot number, storage location number, expiration date, quantity unit, and others.
Constraints Imposed on Multi-Turn Dialogue and Prompt Engineering
Data sources for this category are scattered, and update frequencies vary widely. Multi-turn dialogue must typically track business information across different time dimensions to avoid repeated confirmation of core fields such as lot numbers and storage locations. The field structure of core documents is fixed, so prompts must accurately guide the extraction of key information such as material identity and expiration date. Cross-process material flow management requires that dialogue context retain historical storage location and work order association information to ensure consistent logic for inventory-book versus physical inventory verification. Scenarios such as inventory-book versus physical inventory discrepancies and sluggish material handling usually require batch execution nodes, which have clear requirements for variable isolation in context.
Configuration Settings
The following configurations are based on the logic of FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
messages | Retain the last 10 turns of dialogue context | Warehousing and lot scenarios require tracking historical information from multi-turn interactions such as lot numbers and storage location changes to avoid repeated confirmation |
variables | Bind three core variables: lot number, storage location number, and expiration date | Core data fields for this category are material code, lot number, and storage location, which need to be transmitted and verified in real time during dialogue |
| Maximum context length | 800–1200 characters | Matches the length of single records from daily warehousing documents, avoiding context overload that affects response accuracy |
| Maximum workflow run count | 1000 | Covers node execution requirements for scenarios such as batch processing of inventory discrepancies and inventory transfer slip approval |
| Input prompt library | Bind keywords exclusive to this category's documents, such as receiving slips and inventory transfer slips | Guides dialogue to focus on warehousing business scenarios and reduces irrelevant responses |
Three Common Configuration Errors
- The configured expected guidance questions are not displayed on the dialogue interface. This occurs when the front-end rendering configuration for input guidance is not enabled, or the prompt library is not bound to exclusive document keywords for the warehousing category.
- Variable results returned by API calls include overlapping content from the previous round of dialogue. This occurs when the context cache for
variablesis not properly reset, causing historical variable values to be repeatedly carried over in multi-turn interactions. - Uploaded XLSX knowledge base content cannot be restated. This occurs when document parsing rules adapted to warehousing tables for field extraction are not configured, causing knowledge base content to not be indexed correctly.
How to Verify Successful Configuration
- Initiate a multi-turn dialogue that includes a lot number and storage location number, and check whether the dialogue context retains core information from previous interactions.
- Call the API to test variable transmission, and confirm that
variablesonly include core fields from the current dialogue with no overlapping historical content. - Upload an exclusive XLSX document file for this category, initiate a restatement request, and confirm that the knowledge base content is correctly identified.
- Trigger a batch execution node, and check that the workflow run count does not exceed the configured upper limit.
The values provided are common starting points and should be measured against samples specific to the relevant use case.