This document is written for FastGPT v4.17.0.
What Data for This Category Looks Like
Data sources for this category include ERP/WMS systems, barcode or RFID identification devices, procurement and work order records, storage location information, AGV or conveyor system data, and weighing and metering data. Data update frequencies cover real-time (such as AGV position and weighing results), daily (such as material receiving and return slip updates), and monthly inventory checks (such as inventory book vs physical verification). Daily documents include receiving slips, putaway slips, material receiving and return slips, warehouse transfer slips, inventory check forms, lot ledgers, first-in first-out and expiration date records. Core fields include lot number, material code, storage location code, expiration date, and inspection status. Units include pieces, kilograms, days, and others.
Constraints for Workflow Orchestration
Data from multiple sources with varying update frequencies requires workflows to support pulling corresponding data at different time intervals, to avoid data lag or redundancy. Numerous core fields with close associations require precise binding of variables between workflow nodes to achieve data transfer, preventing traceability interruptions caused by field mismatches. Strict control requirements for lots and expiration dates require embedding verification nodes in the workflow to trigger interception or retry processes for abnormal data. Cross-process material flow management requires configuring link tracking nodes to record the full path of materials from warehousing to the production line, meeting traceability needs for defect analysis. Book vs physical inventory difference handling needs to trigger verification in real time, to avoid inventory losses or production line downtime risks.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
variables | Bind lot number, storage location code, material inspection status | Match the core fields of the category's documents to enable precise data transfer between nodes |
| Maximum Context | Top 10 conversation contexts | Adapt to the multi-step verification logic in warehousing scenarios, avoiding context redundancy that affects analysis efficiency |
| Loop Trigger Condition | Bind the return result of the verification node via nodeId | Implement retry logic for defect analysis, matching the business requirements of cyclic verification |
| Timeout Setting | 600 seconds | Cover the normal time consumption of multi-data-source pulling and cross-system interaction |
| File Transfer Method | Pass original files directly | Meet the requirement of directly passing warehousing documents to the large model, avoiding format loss caused by default parsing |
| Multi-Code Components | Enable multiple independent code running nodes | Support logical splitting of different verification links, adapting to defect analysis requirements for multiple scenarios |
Three Common Mistakes
- Failing to bind the verification result corresponding to
nodeIdwhen configuring a loop node, only setting a single trigger, resulting in the loop failing to trigger according to business logic or terminating early. - Setting the maximum context to 2 entries, but the number of displayed conversation entries does not match, because the cache threshold for node context was not adjusted synchronously, resulting in unexpected context truncation.
- Enabling multi-code components without configuring independent parameter spaces, leading to logical conflicts between nodes and making segmented verification impossible.
How to Verify Proper Configuration
- Trigger the workflow, then check whether the
variablestransferred between nodes include core fields such as lot number and storage location code, to confirm correct data binding. - Simulate a defect analysis scenario, trigger the loop node, and verify whether the retry or termination process executes based on the verification result.
- Upload a receiving slip file from the corresponding category, check that the file format received by the large model matches the original file, and has not been altered by default parsing.
- Run the multi-code component nodes, confirm that each node executes logic independently, with no parameter conflicts or execution exceptions.
The configuration values listed above are common starting points, and should be evaluated against the reader's own samples.