What the documents look like
This page covers model connections and configuration for product and marketing copy drafting in the trade and FX administration category. The working documents in this category are foreign exchange receipt advices, trade contracts, invoices, and foreign exchange business registration materials. The update rhythm is per transaction and monthly. Copy drafting draws on the paying party, the contracting parties, invoice amounts, and registration status, so the model connection must keep those fields traceable during generation and review.
Compared with letter of credit document examination, this category focuses on the authenticity of foreign exchange funds and the trade background, and does not examine a full set of letter of credit documents. Whether a promotional sentence in drafted copy is supported by the materials is within the scope of this page. Enterprise identity certification and report analysis are outside this page.
Constraints at the model connections step
Model capability must be checked against the input the application actually needs. Multimodal input, tool calling, and thinking settings are verified separately. AIPROXY_API_ENDPOINT holds the AI Proxy service root address and must not carry /v1 or /chat/completions. AIPROXY_API_TOKEN holds the non-empty administrator token that matches the server configuration; an application API key does not substitute for it. Application parameters are set in the application or node configuration, and same-named fields on a compatible chat interface cannot be assumed to override the orchestration. Semantic recall and relevance scores do not carry permission or entity isolation, and the same-vector-model requirement for a retrieval library does not extend to business registry sites or other external systems.
Hypothetical paper exercise, not a real customer. Material text one: "The foreign exchange receipt advice shows the payer as A Trading Co., Ltd., the payee as B Import and Export Co., Ltd., the amount as USD 120,000, dated 5 March 2026." Material text two: "The trade contract lists the seller as B Import and Export Co., Ltd., the buyer as A Trading Co., Ltd., and the goods as 2,000 folding outdoor chairs." Material text three: "The foreign exchange business registration material states the business status as registered, with a registration date of 6 March 2026." Draft sentence to be judged: "This product is supplied directly from a factory with years of export experience and has passed multiple international certifications." The factory qualifications and certification information in this sentence do not appear in the three materials above and remain unsupported.
Configuration and implementation checks
The table below lists documented settings or implementation checks relevant to this feature and primary task, using the sample above. The values are hypothetical starting points for this exercise, with the comparison object noted.
| Configuration item | Hypothetical starting point | Comparison method and object |
|---|---|---|
| AIPROXYAPIENDPOINT | Assume http://aiproxy:3000 | Compare whether the value carries /v1 or /chat/completions; the documentation requires neither |
| AIPROXYAPITOKEN | Assume a non-empty administrator token | Compare whether it matches the server and is non-empty; an application API key does not satisfy this |
| Language model and index model | One of each enabled | Compare whether the system has at least one usable model of each type; the documentation states this minimum |
| Model capability (multimodal, tool calling) | Selected according to the copy node's needs | Compare the node's actual input type against the model capability declaration |
| Application parameters (temperature, context) | Assume a temperature starting point of 0.3, used to observe retention of qualifiers in copy | Compare drafts from lower and higher settings on the same materials; still configured in the application or node |
| Model probe interval | Assume a starting point of 30 minutes | Compare whether it falls in the documented 5 to 60 minute integer range |
Three common errors
- Writing
AIPROXY_API_ENDPOINTas a full request address with/v1appended. The input is the hypothetical valuehttp://aiproxy:3000/v1, the comparison object is the documented requirement not to append/v1, and the observable result is that the value does not match the requirement. - Using an application API key as
AIPROXY_API_TOKEN. The input is a hypothetical application API key, the comparison object is the documented administrator token that an application API key cannot replace, and the observable result is that the two serve different purposes. - Releasing the draft sentence "has passed multiple international certifications" based on the sample materials. The input is the three material texts above, the comparison object is the certification wording in that sentence, and the observable result is that the materials do not state this information, so it is judged unsupported.
How to verify the setup
- Input the receipt advice and the trade contract, and match payer A to contract buyer A and payee B to contract seller B. The party roles in the sample can be matched. This matching does not show that B holds factory qualifications or international certifications.
- Take the draft sentence "This product is supplied directly from a factory with years of export experience and has passed multiple international certifications." The input is the three material texts above, the comparison is between the certification wording in the sentence and what the materials state, and the observable result is that the materials contain no certification field, so it is judged unsupported. The source text lacks evidence, and this cannot be used to deny that a certification exists.
- Input the "supplied directly from a factory" wording together with the contract and registration material. The source text only states that B is the seller and that the business is registered, and gives no evidence of a manufacturing entity or a direct supply chain, so the direct supply claim remains to be verified. The copy does not need unrelated registration promotion added for this purpose.
Retrieval checks record observations and failure branches only. An empty result can be checked against a downstream design using the explicit paper input [], without claiming that a fictional rule search necessarily returns empty. Libraries on different vector models cannot be associated together; check the identifier first and exclude those that do not match. The image retrieval and rerank paths in the documented flow diagram are optional and run only when the corresponding input, model capability, and settings are enabled.