What the documents look like
Fresh-food concession counters in hypermarkets are frequently operated by on-site supplier staff under a revenue-share arrangement. Operating reports and exception reviews therefore involve the hypermarket fresh-food department, the concession supplier, and the store manager at the same time. Daily sales reports, shrinkage sheets, food incoming-inspection records, and concession contracts come from separate sources. Sales data arrives from the POS system, while delivery and loss information comes from supplier delivery notes and store counts. Reconciling weighed sales, handling loss allocation, and checking incoming goods vouchers are the most time-consuming daily steps. Food-safety penalties, gross-margin disputes, and customer claims are the main consequences when something goes wrong. These materials form per day or per batch, so conversation logs and auditing must attach each question-and-answer round to the correct session and business record.
Constraints at the conversation logs step
Conversation identity relies on chatId. When chatId is a non-empty string, the system retrieves that session from the database and uses the last item of the messages array as the user question, ignoring the remaining messages. When chatId is not supplied, the context is built entirely from the passed messages, and the built-in context feature is not used. When responseChatItemId is supplied, it becomes the ID of the response message for that round and is stored in the database; it must be unique under the current chatId. Run details require detail to be set. Non-streaming results are held in responseData, and streaming responses distinguish content through event values. With detail set to true, responseData contains module names, tokens, quoteList, completeMessages, and similar fields, and the specific values can differ between versions. The presence of a log only shows that the interface returned these fields. Reconciliation, retention, and compliance auditing requirements must be implemented separately by a complete business solution.
Hypothetical drill sample: a store fresh-food department keeps an excerpt of a concession contract, whose text reads "Party A is a hypermarket store, Party B is a concession supplier, the counter is a fresh-food concession counter, settlement is executed according to the monthly POS sales amount and the agreed share ratio, and loss allocation is based on the store count sheet." A separate excerpt of a daily sales report reads "From March 1 to March 31, 2025, the POS sales amount of this counter was a certain figure, and the shrinkage sheet number was a certain figure." A draft sentence to be judged reads "This month's losses have been fully borne by the supplier, with no store allocation required."
Configuration and implementation checks
The table lists only officially documented settings or implementation checks relevant to this page's feature and primary task. The value column gives the starting point for this hypothetical trial, with the reason for choosing it and the object of comparison.
| Configuration item | Hypothetical starting point for this trial | Check and comparison method |
|---|---|---|
| chatId | Use the session ID of the current round for this counter | Compare against the session identifier in the business record to confirm the same session |
| responseChatItemId | Assign a unique value to each round's response | Check for duplicates under the same chatId |
| detail | Set to true to obtain run details | Compare against a call that retrieves only the final answer, and confirm that responseData is present |
| stream | Choose according to the call method | For streaming, read event; for non-streaming, read responseData |
| variables | Pass module variables such as uid and name | Compare against the [key] placeholders in the module input fields |
| source | Set to api to limit to sessions created through the API | Distinguish from the session list shown on the page |
Three common errors
- Merging sessions with different chatId values into one calculation. The input is session records with two different chatId values; the comparison object is the session identifier in the business record; the observable result is that two rounds belonging to the same counter are grouped into one session.
- Treating an unreturned field as already retained. The input is a response with detail set to false; the comparison object is whether responseData exists; the observable result is that run details are missing yet recorded as audited.
- Treating a retrieval hit as authorization. The input is one knowledge-base retrieval result; the comparison object is the authorization boundary; the observable result is that returned content is treated as approved for execution.
How to verify the setup
- Take the contract excerpt and daily sales report excerpt from the hypothetical drill sample above. The input is the original text of both materials together with the draft sentence "This month's losses have been fully borne by the supplier, with no store allocation required." The comparison object is the statement in the contract excerpt that loss allocation is based on the store count sheet. When the draft sentence does not match the original text, the observable result is a judgment of unsupported, and the evidence gap must be retained.
- Take two rounds of requests under the same chatId. The input is the two call records. The comparison object is whether responseChatItemId is duplicated. When it is duplicated, the observable result is that the response ID does not meet the uniqueness requirement.
- Take a response with detail set to true. The input is responseData. The comparison object is whether it contains fields such as quoteList and completeMessages. When a field is missing, the observable result is recorded as not returned, and complete retention is not presumed.
These checks describe expected observations only. No test, deployment, approval, refund, or other business action is claimed to have occurred. Where a field is not provided in the source documents, its value remains unknown.