What the documents look like
Cross-border returns refurbishment and resale handles reverse logistics and item condition. It differs from overseas warehouse replenishment, which deals with inbound restocking. The main data sources are the overseas warehouse WMS, the TikTok returns center, Amazon return reports, and item inspection photos. Daily documents include return inspection forms, refurbishment records, scrap forms, and relisting checklists. The supplied material gives the update frequency as daily and per batch.
For operating reports and exception reviews, the conversation log layer separates sessions by chatId and individual exchanges by dataId. Run details are retrieved by setting detail=true, and node-level returns are carried in responseData. The existence of a log shows that the interface kept a record. Reconciliation, retention, and compliance requirements still depend on a complete business implementation outside this interface.
Constraints at the conversation logs step
Log checks must use the same subject, the same period, and the same field. Use chatId to match the target conversation against the business record, and do not combine sessions from different entry points into one count. When run details are needed, set detail according to the official contract and inspect responseData. Compare the log against the fields the interface actually returns. Business data that is not returned cannot be treated as fully retained.
Identity fields may differ in test mode. Check the input, the history, and the returned content separately. Retrieval or form collection produces values. Business verification, approval, database writes, and external synchronization each require their own declared downstream implementation. Similarity does not carry permission or entity isolation duties.
Hypothetical paper exercise sample: an overseas warehouse inspection team completes inspection of a returned batch on 10 March 2025. The source text reads: "Return inspection form number T-0310, item is a Bluetooth earphone, inspection conclusion is refurbishable, refurbishment record number F-0310, relisting checklist number L-0310." The draft sentence to be judged is: "This batch has completed relisting and generated sales revenue." The comparison input is the three source documents and the draft sentence. The comparison target is whether the source material states that relisting was completed and that a sale occurred. The observed result is that the material states only the inspection conclusion and the record numbers, and does not state relisting execution or a sales record. The draft sentence is unsupported.
Configuration and implementation checks
| Configuration item | Documented content | Check action on this page |
|---|---|---|
| appId | Application ID, available from the application detail path | Check that the appId in the request body or authorization string matches the target application |
| chatId | Session ID, length under 250, uniqueness must be ensured by the caller | Check that the target session's chatId corresponds to the business record |
| dataId | ID of one exchange under a session | Check the dataId of a single exchange before retrieving run details |
| detail | Returns intermediate values; in non-stream mode results are stored in responseData | Set detail=true when node-level information is needed and inspect responseData |
| responseChatItemId | If passed, used as the response message ID for this exchange and stored in the database; must be unique under the same chatId | Check that the passed value does not repeat under the same chatId |
| source | Conversation source; source=api retrieves sessions created through the API | Check that the session source matches the reporting scope |
No numeric items are listed in the table. If this hypothetical exercise needs a starting value, pageSize can be set to 20. The reason is that this value makes manual item-by-item comparison practical. Compare it against the total returned by the session list to judge whether records remain unretrieved. This value is a starting point for this exercise and is not an official default.
Three common errors
- Treating the existence of a log as completed compliance auditing. Input is the conversation record of one session. The comparison target is the reconciliation, retention, and compliance requirements. The observed result is that the record exists while the downstream business implementation is absent. The judgment is that the audit is not complete.
- Treating similarity as permission or entity filtering. Input is a quoteList carrying score. The comparison target is the target subject and the authorized scope. The observed result is that a high or low score does not change access permission. The judgment is that unrelated business cannot be excluded on this basis.
- Treating a pending review or a form submission as authorized execution. Input is the userSelect options returned by an interactive node. The comparison target is whether a downstream approval or write already exists. The observed result is that the options are display configuration only. The judgment is that the authorization state has not changed.
How to verify the setup
- Input the chatId and dataId from the hypothetical sample. Compare the retrieved conversation list against the session record. Observe whether the returned obj and value match the source material. A match satisfies the check condition.
- Input a request with detail=true. Compare the element in responseData whose moduleType is pluginOutput against the plugin output. Observe whether the pluginOutput field is present. Presence satisfies the retrieval condition; absence is recorded as a gap.
- Input an explicit paper empty result []. Compare how the downstream design handles an empty reference. Observe whether the downstream processes it as an empty result. Processing it as an empty result satisfies the condition. This does not claim that a fictional rule retrieval necessarily returns [].
All of the above are paper expectations and were not actually executed as tests. Libraries built on different vector models cannot be associated together. Check identifiers only and exclude those that do not conform.