What the documents look like
For product questions in Central chain procurement, this page examines FastGPT model connections. Separate ordering units, packaging availability and branch demand in centralized-procurement reading tests. The examples are hypothetical.
Constraints at the model connections step
A hypothetical headquarters request says branches request individual items, the warehouse proposes cartons, and carton-opening rules remain to be checked. The supplier directory lists only a carton-packed model. A connection exercise should inspect whether these counting levels enter with their original wording and whether the answer identifies the missing link between packaging and branch demand. A carton listing establishes no permission to split it; item-level requests establish no available stock. The response can identify missing opening instructions and batch-availability evidence without inventing conversion quantities or an inventory promise. These are paper examples, not executable orders.
Configuration and implementation checks
| Procurement reading | Paper condition | Source to inspect |
|---|---|---|
| Counting levels | Items requested; cartons proposed | No automatic conversion |
| Packaging limit | Opening rule pending | Instructions for the same model |
| Availability | Stocking intent | Actual batch availability |
| Distribution | Plan versus branch receipt | Dispatch and acknowledgment |
| Output use | Proposed downstream handoff | Parsing and factual support separately |
Documented conditions
| Documented item / implementation check | Condition |
|---|---|
AI Proxy dependency | Inspect services, channels and application for the deployed version. |
AIPROXY_API_ENDPOINT | Use the AI Proxy service root address. |
AIPROXY_API_TOKEN | Use a nonempty administrator token matching the service. |
Model capabilities | Test capabilities required by the actual input path. |
Application parameters | Same-named interface fields need not override application settings. |
Three common errors
- If the carton-opening restriction never enters the request but the answer allows item distribution, inspect actual input and source passages to locate the omitted condition.
- If the carton directory becomes satisfaction of individual-item demand, inspect counting subjects and packaging instructions. A shared model name does not authorize splitting.
- If proposed stocking becomes completed branch receipt, inspect headquarters plans, dispatch records and branch acknowledgments separately. Trace the claimed delivery event.
How to verify the setup
Keep the request and directory fixed while asking about ordering units, splitting conditions and the branch state currently supported. Retain adopted sentences. Check model and packaging identity before repeating the questions with new opening instructions. Inspect branch and batch separately when shipping records arrive. Model or parameter comparisons should keep sources and questions unchanged and record actual inputs, without inferring distribution capability from fluent writing. For a downstream system, validate parsing separately from factual support for returned fields. Successful parsing creates no purchase or allocation.
| Material context | Scope |
|---|---|
| Document types | Centralized Procurement Contract, Replenishment Plan, Delivery Order and Store Requisition Order |
| Candidate sources | ERP Procurement, WMS, Store POS and Supplier Delivery Data |
| Technical baseline | FastGPT v4.17.2 |