What the documents look like
For staff training in General export declarations, this page examines FastGPT multi-turn prompts. Follow document-training corrections and exercise answers without treating an earlier example as current operating evidence. The examples are hypothetical.
Constraints at the multi-turn prompts step
A proposed training exercise contains two packing pages. The earlier page swaps net- and gross-weight labels; the corrected page fixes them without providing a declaration conclusion. First ask the learner to explain the fields, then ask whether to fill them as before. Inspect the page actually carried forward and preservation of exercise identity and version. If the correction arrived but the answer still cites old labels, retain both originals and history to investigate overwrite. Exercise guidance is not confirmation of an actual filing.
Configuration and implementation checks
| Training-conversation check | Exercise-source condition | Result to retain |
|---|---|---|
| Version handoff | Earlier and corrected net/gross labels | Labels and pages used by the answer |
| Exercise identity | Handout is not an actual declaration | No claim of confirmed filing |
| Source limitation | Correspondence notes do not substantiate a code | Missing classification material |
| History investigation | Another product’s code enters this turn | Original question, history and optimized question |
| Structured handoff | Format required by the exercise system | Parsing and source correspondence |
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 corrected net/gross labels arrive but the old page still governs, retain both originals and history. Distinguish omitted correction from overwrite; an exercise does not confirm an actual declaration.
- If invoice-to-packing correspondence determines a declaration code, inspect classification evidence. A handout without that basis remains incomplete; more context supplies no norm.
- If another product’s code enters through history, compare current description, historical subject and optimized question. Restore the subject and retest current material rather than accepting an earlier answer.
How to verify the setup
Repeat the same question against the earlier and corrected handouts, retaining adopted labels and page references. Use a new conversation to check acknowledgment of the current gap. Training answers can organize verification steps and required material; the responsible document specialist still confirms them. If a downstream exercise needs structured output, validate its returned structure and source correspondence. Complete-looking prose with failed parsing cannot mark an exercise accepted or justify writing into an actual operational record.
| Material context | Scope |
|---|---|
| Document types | Export Declaration Form, Commercial Invoice, Packing List and Contract |
| Candidate sources | China International Trade Single Window, Customs Code Database, Freight Forwarder Bill of Lading and Enterprise ERP |
| Technical baseline | FastGPT v4.17.2 |