What the documents look like
For multilingual work in Brand outlet operations, this page examines FastGPT model connections. Preserve parallel style, sizing-system and participation wording without deriving product attributes from names or shelf labels. The examples are hypothetical.
Constraints at the model connections step
A proposed bilingual attachment lists different style identifiers in one collection. Chinese sizing uses local labels; English retains those labels without conversion evidence. Inspect complete delivery of style-to-size relationships. The same letter does not establish equivalent dimensions everywhere. Trace any generated conversion to actual request content; without a source, the comparison cannot confirm fit. Translating text establishes neither an obtained brand size chart nor checked physical dimensions.
Configuration and implementation checks
| Connection check | Parallel outlet conditions | Actual verification |
|---|---|---|
| Sizing label | Local label without conversion evidence | No unsupported dimensional counterpart |
| Style relationship | Separate identifiers within one collection | Pairing retained in actual input |
| Store restriction | Specified stores and applicable styles | Locate delivery loss or generated omission |
| Added source | Obtain brand correspondence information | Retest adoption under the same question |
| Other attributes | Inspect material and label images separately | Translated names do not establish fit |
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 a local size letter becomes a definite conversion, trace brand correspondence and request evidence. Without a chart the dimensions remain unverified; identical letters establish no universal equivalence.
- If specified-store limits become every store in English, compare original label, input and output to locate transfer loss or generation omission. Configuration does not decide campaign scope.
- If matching collection names merge distinct styles, inspect style-to-size pairing and applicable sources. Retest after brand evidence arrives while preserving old and new source identity.
How to verify the setup
Ask separately about style, sizing label and store restrictions, recording originals behind English wording and items still pending translation review. After adding brand correspondence information, repeat the question and settings so an older name does not overwrite the new source. Material and usage statements need their own evidence; clearance labels establish neither defects nor performance. Inspect image capability separately where needed. This text comparison validates neither a garment-label image nor the actual item.
| Material context | Scope |
|---|---|
| Document types | Discount Approval, Slow-Moving Inventory List, Price Tag and Gross Profit Calculation Sheet |
| Candidate sources | ERP Inventory Age, POS Sales, Outlet Mall Activities and Historical Discounts |
| Technical baseline | FastGPT v4.17.2 |