What the documents look like
For document comparison in Regional dealer stock, this page examines FastGPT context limits. Keep enquiries, reservations and confirmed orders separate in distributor inputs. The examples are hypothetical.
Constraints at the context limits step
A proposed distributor packet has an enquiry about a basic short-sleeved design, a warehouse note reserving items for display and an order confirming a long-sleeved design. The question asks about confirmed short-sleeved replenishment. Actual input needs sleeve type and display-versus-sales purpose retained. Reservation says nothing about current supply. Earlier conversation may focus on the long-sleeved order, so this design needs current attribution. Compressing the packet into basic design reserved and confirmed would merge two products and purposes into a confirmation not established by any source.
Configuration and implementation checks
| Context-material check | Input and expression conditions | Acceptance action |
|---|---|---|
| Reservation purpose | Display use | Check input retention. |
| Product distinction | Short and long sleeves | Attribute states separately. |
| Question reference | This design needs attribution | Compare original and rewritten question. |
| Answer ownership | Confirmation covers long sleeves | Retain unresolved short sleeves. |
| Source gap | No current short-sleeved order | Window supplies no confirmation. |
Documented conditions
| Documented item / implementation check | Condition |
|---|---|
Model context | Use the actual model’s accepted context scope. |
Reply length | The reply limit differs from the context window. |
Knowledge-reference limit | Knowledge citation limits are token-based. |
History-input check | Compare empty-history and populated-history inputs. |
Structured-output handoff | Validate parsing, then inspect support for field values. |
Three common errors
First, display purpose may disappear from the reservation note; compare original and request, retaining object and use without declaring saleable stock. Second, historical long sleeves may replace current short sleeves; compare original and rewritten question, historical reference and current product, including empty-history input. Third, the reply may retain confirmed but omit its long-sleeved subject; inspect item-state attribution and allow enough space for the unresolved part. These concern purpose, reference and conclusion ownership. A larger model window cannot replace missing confirmation for the actual short-sleeved request.
How to verify the setup
Ask how far the short-sleeved enquiry went, what the reservation serves and which design the order confirms, retaining actual input and answer wording. Reference-token checks need qualifiers inspected; returning three files establishes no complete contents. Inspect model context and reply length separately against actual capabilities and task. Missing short-sleeved confirmation remains open. This text test creates no order and executes no transfer. Reservation or a completed long-sleeved sale supplies no current short-sleeved supply or fulfilment state, which would need its own matching operational record beyond the comparison.
| Material context | Scope |
|---|---|
| Document types | Replenishment Request, Inventory Turnover Sheet, Outbound Order and Payment Collection Plan |
| Candidate sources | Dealer ERP, Brand Ordering System, Warehouse Inventory and Sales Collection |
| Technical baseline | FastGPT v4.17.2 |