What the documents look like
Fresh-food weighing and sorting happens inside the warehouse fulfilment step, and the working data centres on weight and specification. The documents handled day to day are the sorting task sheet, the weighing label, the short-weight compensation form and the quality inspection record. Data sources include the WMS, the electronic scale, the order system and quality inspection photos. These materials update per order and per day.
Compared with community group-buying pre-sale aggregation, weighing and sorting depends more on in-warehouse operation records. Short shipment payouts, gross margin loss and negative customer reviews are the main consequences of error. A multi-turn dialogue therefore has to cite the weight, specification and status fields carried on the weighing label and the compensation form accurately, and cannot infer business facts from conversation history.
Constraints at the multi-turn prompts step
The multi-turn prompts step needs a clear statement of the material scope, the answering task and how missing evidence is handled. Context carried in from history needs to be checked, and a new session distinguished from a continued session. Where a knowledge base supports continuous conversation, check coreference resolution and question expansion, and do not assume every short question qualifies. The model's supported context length and reply settings need to be checked against long documents combined with follow-up questions. Reply format follows what the downstream step consumes; when json_schema is chosen, fill in the corresponding format requirement and verify the returned structure.
The following is a hypothetical drill sample used to explain the checking method. It does not involve a real customer or a real business record.
Hypothetical drill sample: the sorting task sheet text reads "10 March 2025, order A, item spinach, specification 250 g ± 10 g, sorting quantity 2 portions, sorter has weighed, weighing label shows actual weights 248 g and 255 g, short-weight compensation form status is pending review." The draft sentence to be judged is "Order A's short-weight compensation has been approved, spinach to be reshipped at 250 g."
In this sample the compensation form status is pending review, while the draft sentence states approved. These are two values of the same field, and the draft sentence is not supported. The actual weights shown on the weighing label need to be checked against the specification range, and the reshipment action requires a downstream implementation after compensation approval; retrieval or a form cannot perform it directly.
Configuration and implementation checks
Configuration is built around the hypothetical sample and lists only the stated settings or implementation checks relevant to this feature and the primary task.
| Configuration item | Hypothetical trial starting point | Checking method |
|---|---|---|
| AI model | Choose a model that supports multimodal recognition | Check the displayed model capability and confirm image recognition can be used for quality inspection photos |
| Memory turns | Starting point set to 3 turns | Compare against the single follow-up in the sample and confirm whether earlier dialogue is carried in |
| Temperature | Starting point set low | Compare against the stability requirement of customer service and observe whether replies stay stable |
| Reply cap | Starting point left at default | Compare against the sample reply length and confirm whether truncation occurs |
| Reply format | Left at default | If a downstream node needs a fixed structure, change to json_schema and fill in the format requirement |
| Hide AI thinking | Starting point set to on | Compare against debugging needs and turn it off temporarily to observe intermediate content |
The memory turns starting point of 3 is chosen because the sample involves only a single follow-up, and a smaller value makes the range of carried-in context easier to observe. The low temperature starting point is chosen because customer service and knowledge base question answering need stable replies. These starting points are choices for this hypothetical trial, used for comparison against the sample behaviour, and are not official default values.
Three common errors
- Treating a pending-review status as approved. In the sample the compensation form status is pending review, while the draft sentence states approved. When checking, compare the values of the same field; pending review and approved are mutually exclusive, and the draft sentence is not supported.
- Treating a retrieval result as an authorisation basis. Retrieval returns the content of the compensation form and does not mean the compensation has been approved or that reshipment can be executed. When checking, confirm that retrieval only supplies text and that business approval requires a downstream implementation.
- Treating a similarity score as an entity filter. A similarity score does not exclude unrelated business or unauthorised records. When checking, confirm that the score is used only for ordering, and that entity and permission checks are handled separately.
How to verify the setup
- Input the hypothetical sample text and the draft sentence, and compare the compensation form status field. Expected observation: the draft sentence's "approved" does not match the source text's "pending review," and the sentence is judged not supported.
- Input the hypothetical sample text and check the weighing label's actual weights against the specification range. Expected observation: 248 g and 255 g fall within 250 g ± 10 g, so the weights can be confirmed as meeting specification, while the reshipment action still awaits compensation form approval.
- Input the paper input [] for an empty-result handover and check the downstream design. Expected observation: the downstream handles it as an empty result and does not claim that a fabricated rule retrieval will necessarily return [].
The primary task here is copy drafting for after-sales answers. Verification inspects specific proposed copy sentences against the supplied source wording and its limitations, and does not move into identity certification, report analysis or another task. Missing evidence stays missing. A pending request is not approval, an offered option is not execution, and an unsigned termination is not a completed termination.