Chain-store site selection: multilingual work with model connections

Review model connections for multilingual work in Chain-store site selection. Check sources, input boundaries, error handling and repeatable test evidence.

What the documents look like

For multilingual work in Chain-store site selection, this page examines FastGPT model connections. Compare leasing intent, measurement coverage and opening preparation in bilingual site-selection notes. The examples are hypothetical.

Constraints at the model connections step

A hypothetical site-visit note says the frontage was viewed while measurement of the back area remains pending. The English test counterpart retains both limits. A landlord email expresses willingness to continue lease discussions, without a signed agreement or opening approval. A multilingual connection test should inspect receipt of both languages and distinguish viewing, measurement and intent. A textual description of a frontage photograph supplies no back-area dimensions. Willingness to negotiate also establishes no completed lease. These inputs exercise language correspondence without offering an actual leasing or location recommendation.

Configuration and implementation checks

Site-language checkExercise inputInspection
SpaceFrontage viewed; back area unmeasuredRetain spatial scope
IntentLandlord willing to discussAuthor and signature evidence
LocationCurrent versus older candidateAddress and covered area
PeriodMeasurement versus receipt timeRetain separately
Source formText note versus floor planTest actual paths separately

Documented conditions

Documented item / implementation checkCondition
AI Proxy dependencyInspect services, channels and application for the deployed version.
AIPROXY_API_ENDPOINTUse the AI Proxy service root address.
AIPROXY_API_TOKENUse a nonempty administrator token matching the service.
Model capabilitiesTest capabilities required by the actual input path.
Application parametersSame-named interface fields need not override application settings.

Three common errors

  • If the pending Chinese measurement sentence is absent but English output confirms an area, retain both originals and actual input. Trace the restriction lost during language selection.
  • If the landlord’s willingness becomes a completed lease by headquarters, inspect the email author, intent verb and signature evidence. Separate the speakers and their actions.
  • If another candidate site’s measurement supplies this back area, inspect address, spatial scope and measurement period. Similar names do not substantiate current dimensions.

How to verify the setup

Ask what was viewed, which space still requires measurement and who expressed willingness to discuss. Trace both outputs to their sentences. When this site’s measurement record arrives, inspect covered area and period before reviewing added statements; later receipt does not change measurement time. A floor-plan input needs separate verification of its image or parsing path. Text results establish no complete-plan reading. The service root and administrator token are connection conditions, without conferring staff access to lease attachments. Inspect source authorization separately.

Material contextScope
Document typesSite Selection Evaluation Form, Letter of Intent for Lease, Renovation Budget and Opening Schedule
Candidate sourcesCommercial District Foot Traffic, Map POI, POS Historical Store Types and Landlord Information
Technical baselineFastGPT v4.17.2