What the documents look like
For multilingual work in Cross-border settlements, this page examines FastGPT model connections. Use sales and receipt wording to inspect parallel input, measure correspondence and evidence for a translation. The examples are hypothetical.
Constraints at the model connections step
A multilingual test can use a proposed Chinese settlement passage describing sales and an English counterpart describing received funds. Those may concern different business dimensions. Deliver both originals in full and inspect whether output preserves the distinction; fluency does not establish equal measures. Record passage identity, version and actual input. An English-only request cannot demonstrate preservation of the Chinese meaning, so investigate source delivery before treating the response as a completed comparison.
Configuration and implementation checks
| Connection or implementation check | Parallel settlement-test condition | Result to inspect |
|---|---|---|
| Two inputs | Chinese sales and English receipt wording | Complete and identifiable delivery |
| Business measure | Read sales, registration and completion separately | Fluency does not establish equivalence |
| Semantic comparison | Retain each passage’s conditions and version | Locate overwrite or lost conditions sentence by sentence |
| Missing counterpart | A draft is not a confirmed original | Repeat the question after adding the source |
| Calculation and form | No presumed conversion rule or image capability | Validate according to the actual material |
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 English alone arrives but preservation of Chinese sales meaning is claimed, compare actual request and versions, retaining the omission. Fluency does not establish aligned measures.
- If registration and completed settlement both arrive but become one state, compare conditions and output sentence by sentence. Locate semantic overwrite; model selection does not determine business applicability.
- If single-language exchange-rate or fee sources yield a purported confirmed counterpart or conversion result, inspect originals, currency and period. Obtain counterparts and retest without assuming conversion rules.
How to verify the setup
Where a rate sheet or fee explanation lacks a confirmed parallel-language version, a generated draft is not an obtained counterpart. After adding the original, keep the question and application settings fixed and inspect delivery of the new passage, including correspondence of currency and period conditions. This test does not prescribe conversion rules or infer completed currency conversion from an English reply. If the actual document is an image, validate that input route separately instead of extending a text result to it.
| Material context | Scope |
|---|---|
| Document types | Platform Settlement Statement, Exchange Rate Sheet, Service Fee Invoice and Collection Reconciliation Sheet |
| Candidate sources | Platform Settlement Center, Bank Statement, Payment Institution Backend and ERP Orders |
| Technical baseline | FastGPT v4.17.2 |