What the documents look like
For staff training in Tmall flagship operations, this page examines FastGPT multi-turn prompts. Keep listing text, brand authority and order promises separate in training follow-ups. The examples are hypothetical.
Constraints at the multi-turn prompts step
Suppose a listing gives general dispatch information, a brand authorization covers a specified shop, and a service ticket requires a stock check for one order. Training may introduce shop materials first, then ask whether that order can dispatch on time. Inspect the new subject and actual history instead of inheriting a general statement as an order promise. Brand authority covers the uses stated in its document; it establishes neither stock nor fulfillment. These are invented training passages without customer data, shop credentials or actual promises.
Configuration and implementation checks
| Shop-training follow-up | Paper scope | Inspection |
|---|---|---|
| Listing | General dispatch wording | No order-evidence replacement |
| Authority | Specified shop | No cross-shop expansion |
| Ticket | Order stock check pending | Retain state |
| Turn subject | Shop and order identity | Inspect actual history |
| Service wording | Proposed customer use | Inspect promise authority separately |
Documented conditions
| Documented item / implementation check | Condition |
|---|---|
Prompt and task | Define sources, the task and evidence-gap handling. |
Conversation history | Inspect the history actually submitted. |
Question optimization | Review reference resolution and question expansion. |
Model and length | Inspect context and reply length separately. |
Reply format | json_schema needs its format and parsing validation. |
Three common errors
- If a follow-up guarantees dispatch without the order ticket, inspect whether the request contains only the general listing, then compare after adding that order’s stock note.
- If an earlier authorization answer proves rights for another shop, compare authorized entity, shop identity and scope. Similar conversation history does not expand the recipient.
- If pending stock review becomes confirmed availability, inspect the ticket’s author and state verb. A follow-up question is no new confirmation.
How to verify the setup
Ask separately what the listing establishes, who the authorization covers and what order evidence is missing. Supply shop and order identities when the subject changes and retain actual delivery records; visible history need not all enter the model. Instructions should identify sources and unknown states. A new ticket should update only the corresponding order. Customer-service wording requires separate review of fulfillment-promise authority.
| Material context | Scope |
|---|---|
| Document types | Product Listing Page, Brand Authorization Letter, Shipping Commitment Records and After-Sales Work Order |
| Candidate sources | Tmall Seller Backend, Tmall Rules Center, ERP Order Table and Customer Service Chat Records |
| Technical baseline | FastGPT v4.17.2 |