What the documents look like
Brand omnichannel stock transfer covers goods moving between stores and warehouses. It does not cover marketing outreach to private member groups. The working documents are transfer requests, inventory snapshots, store shortage lists, and transfer logistics notes. Source systems include ERP inventory, store POS, e-commerce orders, and WMS. Order fulfilment and after-sales answering depend on linking these business documents to specific conversations, so a later check can trace which session discussed which transfer.
Conversation identity and business identity are separate. A session is identified by chatId, a single conversation by dataId, and an application by appId. A check must associate the dataId under one chatId with the matching business record. Sessions created through different entry points cannot be counted together. Transfer work updates daily and weekly; log checking follows the actual time a session occurred. The material does not describe a transaction-triggered batch synchronization mechanism, so none is assumed.
Constraints at the conversation logs step
When run detail is needed, the official contract requires detail to be set, and the result is read from responseData in the non-streaming response. In streaming responses, node status and complete responses are distinguished through event values. The fields the interface actually returns define the scope of what is retained in the log. Business data that is not returned cannot be presumed to be fully retained. The existence of a log does not equal a completed compliance audit; reconciliation, retention, and compliance requirements belong to a complete business plan implemented elsewhere. Retrieval or a form collecting a value is an input action. Business verification, approval, database writes, and external synchronization each need their own downstream implementation.
Hypothetical paper exercise sample: a brand supply-chain duty staff member submits a handover request. The source material reads: "Transfer request T-0417, subject is the East China warehouse and Hangzhou Hubin store, object is three spring coats, status is pending review, date scope is 17 April 2025." The draft sentence under review reads: "This transfer request has been approved and can be arranged for shipment." The check compares the status field in the source material against the wording of the draft sentence. The material states pending review; the draft states approved. These are mutually exclusive values in the same field for the same subject and period, so the draft sentence is not supported by the source material.
Configuration and implementation checks
| Check item | Documented setting or implementation check | Relation to the sample |
|---|---|---|
| Application identity | body.appId, or apiKey-appId in Authorization | Confirms the request belongs to the target application |
| Session identity | chatId is a unique non-empty string, length under 250 | Locates the session the sample belongs to |
| Conversation identity | responseChatItemId unique under the current chatId | Links this response to the conversation record |
| Run detail | Check responseData when detail=true | Obtains node status and complete results |
| Session source | source=api returns sessions created through the API | Separates entry points to avoid mixed counting |
| Feedback fields | userGoodFeedback and userBadFeedback are optional | Records the user feedback state |
The hypothetical starting value for this paper check is pageSize 20. The reason for choosing it is that it can cover the recent records of the sample session, and it is compared against the total field in the response to decide whether further paging is needed. This value is not an official default; it applies only to this paper check.
Three common errors
- Mixing dataId values from different chatId sessions into one business record check. The input is two session lists with different chatId values; the comparison is dataId ownership; the observable result is whether cross-session stitching appears.
- Treating a detail=false response as containing complete run detail. The input is one detail=false request; the comparison is whether responseData is present among the returned fields; the observable result is whether run detail is missing.
- Writing the source material's "pending review" status directly as "approved." The input is the sample source text and the draft sentence; the comparison is the value of the status field; the observable result is whether the draft sentence matches the source.
How to verify the setup
- Use the sample source text and the draft sentence. The input is the "pending review" status field. The comparison is the draft sentence "has been approved." The observable result is whether the two agree. When they do not agree, record the draft as unsupported and keep the evidence gap open.
- Use the dataId list under one chatId. The input is two sessions with different chatId values. The comparison is dataId ownership. The observable result is whether cross-session mixed counting appears. If mixed counting appears, record it as a nonconforming item to be excluded.
- Use a detail=true request. The input is the sample session. The comparison is whether responseData contains node status and complete results. The observable result is whether run detail can be obtained. When it is not returned, record it as unknown and do not infer a system error or an automatic business action.
These checks are paper exercises. They were not actually executed and do not constitute a conclusion that approval, deployment, or any business action has been completed.