What data for this category looks like
Core data for this category comes from ERP/WMS systems, barcode or RFID collection devices, purchase work orders, storage location management ledgers, AGV transport systems and weighing equipment. Daily generated documents include receiving slips, putaway slips, material issue/return slips, inventory transfer slips, monthly inventory reports and lot ledgers. Fields cover material codes, lot numbers, storage location numbers, expiration dates, send/receive quantities and units. Data update rhythms include three categories: real-time synchronization (such as AGV scheduling, weighing data), daily summary (such as material issue/return records) and monthly inventory calibration.
Constraints imposed on model integration and configuration by these characteristics
Data for this category is multi-source with strong field correlation. The accuracy of lot, expiration date and storage location information directly affects the compliance of tender quotations. Therefore, model integration must adapt to the synchronization and verification requirements of multi-source data. Data sources with different update frequencies require configuration items that can flexibly adjust context length to avoid truncating key business fields such as expiration dates and storage locations. Links such as material identity verification and account-physical matching require high consistency in model output, so generation randomness must be strictly controlled. Tender documents need to integrate multiple types of warehousing documents such as receiving slips and inventory reports. The stability and identity legitimacy of model calls must be guaranteed through a dedicated proxy.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Adapts to the context requirements of multi-field long documents such as lot ledgers and inventory reports, avoiding truncation of key information such as expiration dates and storage locations |
maxTokens | 2000–3000 token | Meets the output length requirements for material details and lot descriptions in tender quotations, ensuring complete document content |
temperature | 0.1–0.3 | Reduces random generation probability, ensuring matching accuracy of key fields such as material codes and lot numbers |
| Workflow/API tool selection | auto | Supports the model to automatically call tools to complete cross-verification of material lots and storage locations, adapting to multi-link verification requirements of warehousing business |
AIPROXY_API_ENDPOINT | Fill in the actual address of the deployment node | In FastGPT v4.17.0, this configuration can stably forward model requests for multi-source data, replacing unstable scenarios of the native API |
AIPROXY_API_TOKEN | Fill in according to the authorization key | Ensures the identity legitimacy of model calls, avoiding configuration failure caused by unauthorized access |
Three common misconfigurations
- The model request node returns a 500 status code with no clear error prompt. No node exception capture logic is configured, causing errors to directly interrupt the workflow.
- The same model cannot be configured simultaneously under different suppliers, with a system prompt of duplicate ID. No unique identifier prefix is configured for cross-supplier models, causing the system to recognize them as the same resource.
- The model node can only hide thinking content, and cannot completely close the thinking process. Only the display switch was adjusted, and the tool call and thinking process were not forcibly closed via the
toolChoiceparameter.
How to confirm configuration is complete
- Call the test interface, input a batch of receiving slip and lot ledger data, and check whether the returned material lot matching results are consistent with the offline ledger.
- View the model call log, confirm that the
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENconfigurations have no empty values, and the call status is successful. - Try to add the same model from two different suppliers, confirm that the system allows configuration and there is no ID conflict prompt.
- Adjust the
temperatureparameter to 0.5, compare the consistency of key fields in the two call results, and verify that the parameter takes effect.
The values provided here are common starting points and should be evaluated against the reader's own samples.