What the documents look like
TikTok Shop US store operations sit under local return windows, return grading, and overseas logistics constraints. The working materials for an operating review are product listings, return and refund records, return grading evidence, and settlement statements. These materials update daily and per order, so their rhythm does not match the retention rhythm of conversation logs.
Conversation logs come from the application interface: session records and conversation records. Their fields and the fields on business documents are two separate sources. Before any comparison, confirm the same subject, the same period, and the same field. A log entry shows that a call was recorded. Reconciliation, retention, and compliance audit requirements are handled by a complete business plan elsewhere.
Constraints at the conversation logs step
Conversation identity uses chatId to separate sessions under one application, and dataId points to one conversation inside that session. Sessions created through different entry points may be stored separately. When you request the session list, source=api returns only sessions created through the API; sessions from the page are not included. When reviewing after-sales communication and exception review inside an operating report, locate the target conversation by chatId and dataId first, and avoid merging sessions from different entry points into one count.
For run details, set detail=true according to the official contract. In non-stream mode the result is stored in responseData; in stream mode the result is distinguished by event, and the full node response is returned through flowResponses. The interface does not return the actual consumed Token value. When that value is needed, set detail=true and manually calculate the tokens values inside responseData. Passed parameters such as model and temperature have no effect; the orchestration decides them.
Hypothetical paper exercise sample: a TikTok Shop US store after-sales specialist handles a return communication on 10 March 2025. The material text reads: "Order A-1001; the buyer applied for a return on 8 March 2025, within the return window; two images of return grading evidence have been uploaded; the settlement statement shows a deduction for this order pending verification." The proposed copy sentence reads: "This return has been approved by the platform and the refund has been executed." The request to be judged reads: "Please use the conversation logs under this chatId to confirm whether the proposed copy sentence matches the material."
In this sample, the material states only the return application and the evidence upload status. It does not state platform approval or refund execution. The phrases "has been approved" and "has been executed" in the proposed sentence are assertions without support. The judgment result is pending verification, and it is not written as a negation or a conflict.
Configuration and implementation checks
| Configuration item | Hypothetical starting point for this exercise | Reason for the choice and comparison method |
|---|---|---|
| appId | Hypothetical value yourappid | Official example placeholder; replace with the actual AppId taken from the application detail path when checking |
| chatId | Hypothetical value my_chatId | Official example placeholder; length under 250; uniqueness must be ensured by the caller |
| dataId | Hypothetical value of one conversation ID | Used to locate a specific conversation under a session; compare with the dataId returned by the conversation list |
| detail | Hypothetical value true | Set according to the official description when run details are needed; compare with whether responseData is present |
| stream | Hypothetical value false | In non-stream mode the result is stored in responseData; compare with the event distinction used in stream mode |
| source | Hypothetical value api | The session list returns only API-created sessions; check separately from page-origin sessions |
These values are starting points for this hypothetical exercise, not official default values. Under the same chatId, responseChatItemId must be unique.
Three common errors
- Merging sessions from different entry points into one count. Input: the session list returned for source=api and the page-origin sessions. Comparison: the two sets of chatId values. When a same or similar title appears across both sets, treat it as mixed counting and check them separately.
- Treating the existence of a log as a completed compliance audit. Input: the responseData of one call and the business reconciliation requirements. Comparison: the field coverage. When business document fields do not appear in the returned data, record a gap and do not presume complete retention.
- Treating "has been approved" and "has been executed" in the proposed sentence as verified facts. Input: the material text of the hypothetical sample and the proposed sentence. Comparison: the status fields stated in the material. When the material contains only the application and the evidence upload, record the conclusion as pending verification.
How to verify the setup
- Input the chatId and dataId of the hypothetical sample, then call the single-conversation run detail. Compare the returned moduleName and runningTime with the communication time described in the material. A match means the location is correct; a mismatch is recorded as unmatched.
- Input the material text of the hypothetical sample and the proposed sentence. Compare sentence by sentence whether "has been approved" and "the refund has been executed" have supporting fields. When the material does not state them, record the conclusion as pending verification, not as a negation.
- Input the session list request with source=api. Compare the returned total with the expected number of API sessions. When page-origin sessions do not appear, that matches the documented description; when they do appear, record it as source mixing.
All of the above is paper-based checking and was not actually executed as a test. Retrieval or a form collects and returns data; business verification, approval, database writes, and external synchronization require downstream implementation, and retrieval does not constitute authorization.