What the documents look like
Marketplace promotion enrollment and price management turns on price, inventory and campaign cadence. The working document set is an activity enrollment form, a promotional price approval sheet, an inventory lock table and a campaign review table. Conversation records produced during order fulfillment and after-sales question answering are checked against that set. The supplied brief gives update frequency as weekly and per campaign; this page does not depend on batch synchronization or transaction-triggered mechanisms, so that frequency is not restated as a functional requirement.
The decisive fact for this category is that conversation identity is carried by chatId. Under one application, sessions arriving through different entry points are different conversations and are not merged into a single count. Run detail requires the detail setting described in the official contract, with node responses read from responseData. The fields the interface actually returns define the checkable range of a log; business data that is not returned cannot be treated as fully retained. A log existing and a compliance audit being complete are separate facts. Reconciliation, retention and compliance obligations are carried out by a full business solution.
Constraints at the conversation logs step
Conversation identity is traced through chatId together with appId to locate the target conversation, and sessions from different entry points are kept apart. Run detail requires the detail parameter; non-streaming results are held in responseData, and streaming responses distinguish intermediate values through event. Field meaning follows what the interface actually returns, and the appearance of quoteList, completeMessages, tokens and runningTime depends on the response structure.
Hypothetical paper exercise sample: a brand sales planner submits a promotional price approval sheet reading "Campaign name: Spring Renewal; Product: one model of small household appliance; Promotional price: 199; Campaign period: 1 April 2025 to 7 April 2025; Approval status is pending review." The same person submits a handover request: "Please confirm in the conversation logs the after-sales question-answering records for this product during the campaign period based on this approval sheet, and authorize refund execution at the promotional price."
Point to be judged: the approval sheet status is pending review, which is not an approval. The phrase "authorize refund execution at the promotional price" in the handover request exceeds what the current status of the approval sheet can support. Log retrieval can locate the relevant conversation. The retrieval result itself is not an authorization, and refund execution requires approval and action in a downstream business system.
Configuration and implementation checks
| Check item | Configuration or check content | Relation to the sample |
|---|---|---|
| Conversation identity | Locate the target conversation by appId and chatId, and check the session source | Confirm the after-sales conversation belongs to this product and campaign period |
| Run detail | Set detail when node responses are needed, and inspect responseData or event | Check whether promotional price related nodes appear in the question-answering record |
| Field range | Treat fields actually returned by the interface as the boundary, and record unreturned items as unknown | Judge whether the approval status has a corresponding record in the log |
| Authorization boundary | Check the approval sheet status and the execution request separately | Pending review does not constitute a basis for refund execution |
| Retrieval scope | Confirm the retrieval library covers the target conversation, and record what is actually observed | Preserve the evidence gap when a record is missing |
Hypothetical starting point for this exercise: use a non-empty chatId string shorter than 250 characters as the starting point for conversation identity checking. The reason for this choice is that the length constraint comes from the official parameter description, and the comparison object is the chatId value actually passed in.
Three common errors
- Treating a pending promotional price approval sheet as an approved basis. In the sample the approval status is "pending review." Judging refund execution as available on that basis confuses two different states, pending review and approved. Check: input the approval sheet text, compare the approval status field with the execution request, and observe whether a judgment appears that treats pending review as an approved basis.
- Treating a log retrieval result as an authorization. In the sample the handover request asks to "authorize refund execution at the promotional price." Retrieving a related conversation record is a fact about the existence of a log and does not constitute authorization. Check: input the retrieval result and the handover request, compare the retrieval action with the authorization action, and observe whether a retrieval hit is taken directly as an execution basis.
- Presuming an unreturned field is retained. If no approval status related field appears in the run detail, that absence does not support a conclusion that the log fully retained approval information. Check: input the run detail response, compare the fields actually returned with the fields needed for the check, and observe whether unreturned items are recorded as unknown.
How to verify the setup
- Input the sample approval sheet text and the handover request. Compare the approval status "pending review" with "authorize refund execution at the promotional price." The expected result is that the authorization basis is identified as insufficient and recorded as pending verification.
- Input the sample conversation log retrieval result and the handover request. Compare the retrieval action with the authorization action. The expected result is that the existence of a log and business authorization are kept as two separate facts, and a retrieval hit is not used as an execution basis.
- Input the field list from the run detail response. Compare the fields actually returned with the fields needed for the check. The expected result is that unreturned fields are recorded as unknown, and full retention is not presumed.
These checks are a paper design and have not been executed. Retrieval checks record observations and failure branches, and do not guarantee a first hit or full recall. A relevance score is not a category, entity or permission filter, and retrieval is not authorization. Where the retrieval library and the target share a vector model, that association is not extended to unrelated external systems. Without a documented error code or an actual observation, the page states what to compare and what remains unknown rather than asserting a deterministic failure cause or result.