What Data for This Category Looks Like
Business data for warehousing, lot tracking and in-plant logistics originates from ERP/WMS systems, barcode or RFID collection devices, procurement and work order data, storage location archives, AGV or conveyor systems, weighing equipment, and similar sources. Daily generated documents include receiving slips, putaway slips, material picking and return slips, inventory transfer slips, inventory count sheets, lot ledgers, first-in first-out (FIFO) and expiration date records, and more. Core fields include material codes, lot numbers, storage location numbers, expiration dates, quantities, inspection statuses, and similar items. Units include pieces, kilograms, cubic meters, and others. Data update frequencies include real-time (such as AGV positions, weighing data), daily (such as material picking and return records), and monthly inventory counts (such as inventory reconciliation data).
Constraints for Multi-turn Dialogue and Prompt Engineering
Disparate data sources and inconsistent update cycles require multi-turn dialogue to retain recent key information such as lot numbers and storage locations. This prevents verification errors caused by expired context. Documents have numerous closely linked fields, so prompts must clearly specify the business fields to extract. This reduces result deviations from ambiguous queries. Lot and expiration date verification requires cross-data source checks. Multi-turn dialogue must support context passing to ensure each subsequent query builds on prior business parameters. Real-time data calls must control session response times to avoid dialogue interruptions caused by waiting for data sources.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Construct a session unique identifier by concatenating business system user IDs, using the format {user_id}_{session_timestamp} | Distinguish chat records of different users to avoid mixing multi-user session data, and adapt to the session isolation logic of FastGPT v4.17.0 |
messages context retention length | Previous 20–30 dialogue turns or 8000–12000 characters | Warehousing data updates frequently, so recent lot and storage location information must be retained to prevent verification errors caused by lost context |
variables | Preset business variables such as material codes, lot numbers, storage location IDs, expiration date thresholds, and more | Quickly bind real-time data from ERP/WMS systems, reduce repeated input, and adapt to parameter requirements for different drafting scenarios |
| Prompt dynamic loading | Associate process document templates in the knowledge base, and load automatically based on trigger scenarios | Adapt to different drafting scenarios such as receiving, inventory counting, and exception reports, without requiring manual prompt modifications each time |
| Tool call timeout | 15–30 seconds | Reserve sufficient time to wait for responses from real-time data sources such as AGVs and weighing equipment, and avoid session interruptions due to timeouts |
Three Common Misconfigurations
- Symptom: Chat records of different business users cannot be distinguished, and session data is mixed. Cause: Failed to bind user unique identifiers using
chatId, only using temporary session IDs leads to data confusion. - Symptom: Version update notes pop up every time a new conversation is opened. Cause: Failed to disable the default version prompt configuration during session initialization, and did not preset the prompt disabling parameter via
variables. - Symptom: Tool call results only display when re-entering the conversation, with no return content on the first call. Cause: Failed to correctly append tool return results to the
messagessession message list, causing the front end to fail to render the latest content.
How to Verify Successful Configuration
- Initiate a test dialogue, enter different user identifiers, check if session data is isolated by
chatId, and confirm that chat records of different users do not interfere with each other. - Create a new conversation, check if the version update note does not appear on the interface, and confirm that the prompt switch configuration is active.
- Call a tool to query inventory data for a specified lot, check if the dialog box displays tool return information such as storage location and expiration date in real time, and confirm that the
messagesmessage appending logic works correctly. - Trigger the receiving slip drafting scenario, check if the loaded prompt template matches the receiving slip drafting template stored in the knowledge base, and confirm that the dynamic loading configuration is active.
The values provided here are common starting points, and should be evaluated against the reader's own samples.