What the documents look like
TikTok Shop US operations for order fulfillment and after-sales Q&A are shaped by local return windows, return grading, and overseas logistics constraints. These conditions mean a single conversation record can carry a buyer question, a return or refund record, and return grading evidence at the same time. The brief states the update frequency as daily and per order. This page does not extend that frequency into batch synchronization, full synchronization, real-time behavior, or transaction-triggered mechanisms.
The documents handled day to day include product listings, return and refund records, return grading evidence, and settlement bills. The conversation logs and audit step connects the content of one chatId, its run details, and the business records. The practical question is which fields the interface actually returns and which materials remain unverified.
Constraints at the conversation logs step
Conversation identity uses chatId as the thread for a session under one application. dataId identifies one conversation inside that session. Verification compares the same chatId, the same dataId, and the same field. Fields not stated in the material are recorded as unknown.
When run details are needed, set detail according to the official contract. In non-stream mode the intermediate values are stored in responseData. In stream mode the values are distinguished through event. Values inside responseData may differ across versions, so record the actual returned value before judging it.
Business reconciliation, retention, and compliance requirements belong to a complete business plan handled separately. The existence of a log does not complete a compliance audit. Retrieval and similarity do not carry permission or entity isolation.
Hypothetical paper exercise: an after-sales specialist at a TikTok Shop US store handles a return inquiry in an order fulfillment and after-sales Q&A application. The material for comparison consists of three sentences: "The session chatId is usdAP1GbzSGu and the dataId is jzqdV4Ap1u004rhd2WW8yGLn; the Human message content is 'Can this order be returned?'" "Under the same chatId, the AI message content is 'Please provide the return reason and image evidence.'" "The session updateTime is 2024-10-13T03:29:05.779Z and customTitle is empty." The draft sentence to be judged is: "This session has completed the return and refund and uploaded return grading evidence." The subject required for judgment is the chatId and dataId above. The object is that round of conversation. The state shown by the material is Q&A content and a time field only. The effective scope is limited to that session record.
Configuration and implementation checks
| Check item | Documented setting or field | Hypothetical starting point and comparison method |
|---|---|---|
| Application identity | appId is obtained from the application detail path and can be passed in body.appId | Use the sample application ID and compare it with the returned data.appId |
| Session identity | When chatId is non-empty, the session is taken from the database; length is under 250 | Take the sample chatId and compare it with chatId in the list returned by getHistories |
| Conversation identity | dataId refers to one conversation under a session | Take the sample dataId and compare it with dataId in the list returned by getPaginationRecords |
| Run details | With detail=true, intermediate values are stored in responseData | Set it to true and check whether responseData contains moduleName and tokens |
| Feedback field | loadCustomFeedbacks reads custom feedback | Set it to true and observe whether customFeedbacks is returned in the list |
| Business action | Forms collect values; approval, writes, and external synchronization need downstream implementation | The refund and evidence upload mentioned in the draft sentence are recorded as unsupported |
The hypothetical starting points above only demonstrate the comparison method. They are not official defaults.
Three common errors
- Treating a similarity score or a retrieval hit as a permission filter. In the sample, the score in quoteList indicates relevance only. It does not establish that the session belongs to a particular merchant or that authorization was granted.
- Writing a pending state as completed. The sample draft sentence says the return and refund are complete and return grading evidence has been uploaded. The material shows Q&A content and a time field only. Refund and upload records are absent, so the sentence is unsupported.
- Combining conclusions from different chatIds or different fields. The sample fixes the same chatId and dataId. Using the updateTime of another session against this conversation's content crosses subjects and fields, and produces neither a contradiction nor a confirmation.
How to verify the setup
- Enter the sample chatId and dataId and call getPaginationRecords with loadCustomFeedbacks set to true. Compare the dataId in the returned list with the sample. Observe whether the customFeedbacks field appears. Expected: when identity matches, the field is returned according to the contract; when it does not match, record the gap without inferring permissions.
- Enter the sample chatId and dataId and call getResData. Compare the moduleName and tokens fields in the returned data and observe the structure of responseData. Expected: in detail mode the intermediate values are readable; if a field is missing, record it as unknown and do not invent an error cause.
- Compare the draft sentence with the three material sentences item by item. Compare subject, object, state, and effective scope. The subject is the sample chatId and dataId. The object is that round of conversation. The state is Q&A content and a time field only. Expected: refund completion and evidence upload do not appear in the material, so the sentence is unsupported and the evidence gap remains.