Douyin storefront operations: conversation logs for operating reviews

Review conversation logs for operating reviews in Douyin storefront operations. Check input mappings, source evidence and failure handling before use.

What the documents look like

Douyin storefront operations centre on product cards and the store experience score. Data arrives from the Douyin store workbench, the Douyin e-commerce learning centre, Selected Alliance data and logistics interfaces, with updates occurring daily and per order. Operating reviews and exception retrospectives work across four document families: product qualification pages, experience score detail records, shipping violation appeals and store announcements.

Conversation logs and audit connect the session and conversation records produced by the chat interface to those business materials. Alignment requires the same operating entity, the same period and the same field. A log records what the interface returned. Qualification status, appeal conclusions and compensation outcomes sit on the business side and require separate checks. Neither side substitutes for the other.

Two industry facts shape this task. First, the experience score moves daily and per order, so a review window must state its date range explicitly rather than assume a single snapshot. Second, shipping violation appeals pass through states such as pending review, and a pending state is not a conclusion. A retrospective that treats an open appeal as resolved will misstate the operating record.

A hypothetical paper exercise illustrates the alignment problem. A Douyin store merchant operates during 10 March 2025 to 16 March 2025 under one appId with two chatIds: one handling product qualification enquiries, one handling shipping violation appeal enquiries. The supplied material text reads: "12 March experience score detail shows a deduction on the logistics experience item; the reason column is empty." and "14 March shipping violation appeal status is pending review; no review conclusion is shown." A proposed draft sentence reads: "The merchant's 12 March logistics experience deduction was fully handled by the 14 March appeal." That draft treats a pending review as completed and merges two different chatIds into one business record. It requires return for verification.

Constraints at the conversation logs step

The identifier hierarchy for sessions and conversations is appId, chatId, dataId. Retrieving the session list requires appId, offset, pageSize and source; source=api returns only sessions created through the API and does not return sessions created on the page. Retrieving the conversation list requires appId, chatId, offset and pageSize, with loadCustomFeedbacks optional. Retrieving a single conversation run detail requires appId, chatId and dataId.

Intermediate values require detail=true. In non-stream mode the result sits in responseData; in stream mode events distinguish the parts. Passed model and temperature fields have no effect because the orchestration determines them. The interface does not return actual consumed Token values; with detail=true the tokens values inside responseData can be calculated manually. Clearing application sessions clears only sessions created through the API Key.

Identity proxying through authProxy requires the team owner to enable it when creating or editing the key, and the proxied identity still needs permission on the target application and session. Retrieval is not authorization. A relevance score is not a category, entity or permission filter, and it does not exclude unrelated businesses or unauthorized records. Forms collect values; business verification, approval, database writes and external synchronization require their own downstream implementation. No scheduled trigger or hidden control exists in the supplied documents.

Configuration and implementation checks

The table below lists checks for this hypothetical exercise. The values are hypothetical starting points chosen for comparison against actual interface returns; they are not official defaults.

Check itemHypothetical starting valueComparison method
Session source filtersource set to apiCompare against the page session list to confirm no non-API session is mixed in
Session paginationoffset 0, pageSize 20Compare against returned data.total to decide whether paging is needed
Conversation paginationoffset 0, pageSize 10Compare against returned data.total to check record completeness
Intermediate value returndetail set to trueInspect responseData for fields such as moduleName and tokens
Feedback readloadCustomFeedbacks set to trueInspect returned items for customFeedbacks
Identity proxyauthProxy enabled by the team ownerConfirm the proxied identity holds permission on the target application and session

The pageSize values were chosen because the official request examples show those numbers, and they serve only as a starting comparison point for this exercise. The detail and loadCustomFeedbacks values were chosen because the documents describe those fields as switches that change what the response contains.

Three common errors

  1. Treating the source=api session list as the complete session list. Input: one request without source. Comparison object: the return from a request with source=api. Observable result: whether the two chatId sets match. A mismatch indicates that page sessions and API sessions come from different sources.
  2. Treating responseData from a detail=true call as a business conclusion. Input: one call with detail=true. Comparison object: the experience score detail and appeal status materials. Observable result: whether responseData contains a deduction reason field or a review conclusion field. Absence is an evidence gap, not a finding.
  3. Writing a pending appeal as completed. Input: the material text "status is pending review". Comparison object: the phrase "fully handled" in the draft sentence. Observable result: the two values are mutually exclusive on the same field, so the draft does not hold.

How to verify the setup

  1. Session identity check. Input: the two chatIds and the appId from the hypothetical exercise. Comparison object: the chatId, appId and title returned by the session list. Observable result: whether returned items correspond one-to-one with the target sessions. Items that do not correspond are recorded as pending verification.
  2. Run detail check. Input: the chatId containing 12 March and its corresponding dataId from the hypothetical exercise. Comparison object: the moduleName, moduleType, tokens and runningTime returned by getResData. Observable result: whether the fields match the interface contract. Missing fields remain unknown.
  3. Draft sentence determination check. Input: the two material sentences and the draft sentence. Comparison object: the values on the same field for the same entity and the same period. Observable result: whether the draft agrees with the source text. The source shows only pending review; the draft's completed conclusion is not supported and is recorded as pending verification, with the review conclusion gap preserved.

These checks test the named primary task: aligning conversation log records with storefront operating documents. They do not test identity certification, report analysis or any other task. A pending request is not approval, an offered option is not execution, and an unsigned termination is not a completed termination. Where the supplied documents do not state an error code or an observed outcome, the check describes what to compare and leaves the result unknown.