What the documents look like
Multi-warehouse allocation happens at the order routing stage and determines which warehouse ships an order. The operating records for this work come from WMS, OMS, ERP inventory and platform inventory interfaces, with daily or hourly updates. Operating reports and exception reviews concentrate on three questions: whether allocation rule priority took effect as intended, whether the sellable inventory sync value matches each warehouse's actual position, and whether oversell warnings were handled in time. These judgments depend on conversation logs and audit records for time, subject and runtime fields. When the log is missing, a conclusion can only remain unsupported.
Documents handled in this category include allocation rules, inventory sync tables, transfer orders and shortage warnings. A conversation log belongs to one session through chatId, and a dataId belongs to one conversation under that session. Mixing the two merges sessions from different entry points into one count. Runtime detail requires the documented contract setting detail and inspecting responseData. Business fields that the response does not return cannot be presumed to be fully retained. Retrieval or a form collects values; business verification, approval, database writes and external synchronization require their stated downstream implementation. A retrieval result does not constitute authorization.
Constraints at the conversation logs step
Five facts bound this page. Conversation identity is checked against the target conversation and business record through chatId, without merging sessions from different entry points. Runtime detail follows the documented contract with detail set and responseData inspected. Field meaning is checked against what the log and interface actually return; business data not returned cannot be presumed fully retained. Debug and production calls may carry different identity fields, so input, history and returned content are checked separately. Reconciliation, retention and compliance requirements are handled by a complete business solution; the existence of a log does not complete a compliance audit.
Hypothetical paper exercise sample: a supply planning role submits a warehouse allocation exception review request on 10 March 2025. The source material reads in three sentences: "On 9 March the East China warehouse sellable inventory sync table showed item A at 120 units; the same day's oversell warning record showed item A triggered once; the allocation rule priority table lists the East China warehouse as the first-choice warehouse for this item." The draft sentence to be judged is: "On 9 March this item had no oversell, and East China warehouse inventory sync was normal." The sample subject is item A and the East China warehouse; the object is the sync table and the warning record; the status is submitted and awaiting check; the effective scope is the single day of 9 March. The draft sentence differs in value direction from the source material and requires field-by-field comparison.
Configuration and implementation checks
The table below lists implementation check items as the starting point for this hypothetical trial. These are not official default values.
| Check item | Hypothetical starting point and reason | Comparison method |
|---|---|---|
| chatId uniqueness | Single session with one chatId, length under 250, because the documentation requires ensuring uniqueness | Compare one by one against the target session records |
| dataId attribution | Locate each conversation under the session individually | Compare against dataId returned by getResData |
| detail value | Set to true, because intermediate runtime fields are needed | Compare against whether responseData appears |
| source value | Set to api, because only API-created sessions are taken | Compare against the list returned by getHistories |
| Feedback field | Read through loadCustomFeedbacks | Compare against fields returned in the conversation list |
| Permission proxy | authProxy enabled and the proxy identity holds target application and session permissions | Compare against the setting when the key was created or edited |
Three common errors
- Treating a retrieval hit or form submission as authorized execution. The input is a query carrying a chatId; the comparison object is whether an approval or write record exists; the observable result is a retrieval return with no downstream business action.
- Merging sessions from different entry points into one statistic. The input is conversation lists for two chatIds; the comparison object is each dataId set; the observable result is that the merged count differs from the single-session count.
- Treating a field that was not returned as retained. The input is a response with detail=false; the comparison object is whether responseData exists; the observable result is that the field is absent and full retention cannot be inferred from it.
How to verify the setup
- Use the three source sentences and the draft sentence from the sample. The input is a request locating the chatId and dataId; the comparison object is the sync table value 120, the warning count of one, and the wording of the draft sentence; the observable result is that a differing value direction is judged unsupported.
- Use the sample material with a request setting detail=true. The comparison object is whether runtime fields appear in responseData; the observable result is that the check condition is met only when the fields appear, and a gap is recorded when they do not.
- Use an explicitly written paper input with an empty result. The input is one retrieval request; the comparison object is whether the returned list is empty; the observable result is that downstream design is checked against the empty result, without asserting that a fictional rule must return empty. Across different vector model libraries, verify the identifier first and exclude non-matching ones, rather than running a cross-model retrieval to compare missed recalls.