What the documents look like
For copy drafting in Certificates of origin, this page examines FastGPT model connections. Check delivery of product wording and unsupported promotion of a certification claim into proof. The examples are hypothetical.
Constraints at the model connections step
This connection test uses a new neutral attachment stating a cotton T-shirt, material wording and natural-white color. Inspect whether the actual request preserves them before checking for unsupported quality, certification or audience additions. A trade-application context does not establish those conclusions. Verify service address and administrator authentication against the deployment, then trace product statements separately. A successful service response is not evidence that every description in the draft is reliable. Separate a contributor’s invoice statement from certification evidence actually obtained. A model restating the claim establishes only that it read the wording. If a certificate is supplied later, retain its identity, associated product and applicability scope, then inspect whether the draft uses the earlier assertion or the new source. This comparison concerns evidence type and attribution; fluent certification language does not establish existence of the corresponding document.
Configuration and implementation checks
| Connection or implementation check | Current text-test scope | Evidence target |
|---|---|---|
| Actual input | T-shirt, material and color wording | Whether the request retains the originals |
| Service configuration | Address and administrator authentication in deployment | Record separately from product-statement support |
| Certification input | Invoice claim alongside missing cost-source detail | Delivery of both identifiable sources |
| Application call | Inspect restatement of claim and evidence gap | Model changes do not replace certification evidence |
| Supplementary source | Positioning and benefits need documentation | Retest added input and adopted wording under the same settings |
Documented conditions
| Documented item / implementation check | Condition |
|---|---|
AI Proxy dependency | Inspect services, channels and application for the deployed version. |
AIPROXY_API_ENDPOINT | Use the AI Proxy service root address. |
AIPROXY_API_TOKEN | Use a nonempty administrator token matching the service. |
Model capabilities | Test capabilities required by the actual input path. |
Application parameters | Same-named interface fields need not override application settings. |
Three common errors
- If cotton-shirt or color wording is absent from the request but treated as read, compare application sources with actual input. Retain gaps and response to locate delivery loss.
- If silence in cost material becomes disproof of an invoice certification statement, compare both originals. Absence differs from denial; one silent source does not determine the claim’s truth.
- If an invoice declaration becomes an obtained certificate, trace the draft statement and actual evidence, preserving product and scope. Restating a declaration does not establish an existing document.
How to verify the setup
When the target audience or distinctive benefit has no source, inspect whether output exceeds the supplied material before obtaining supplementary information. Retest added text under the same question and settings, retaining what reaches the model separately from the sentences used in the draft. Validate an image or other capability when the actual input requires that path. This text test does not establish scan or vision processing. Acceptance of marketing statements still depends on available evidence.
| Material context | Scope |
|---|---|
| Document types | Certificate of Origin Application, Commercial Invoice, Packing List and Production Cost Data |
| Candidate sources | China International Trade Single Window, CCPIT System, Enterprise Production Records and Customer Customs Clearance Requirements |
| Technical baseline | FastGPT v4.17.2 |