What the documents look like
Retail packaging reporting for plastic bags and single-use items centers on consumption quantities and environmental supervision. The main data sources are the Ministry of Commerce reporting system, POS plastic bag sales records, procurement systems, and store ledgers. The routine documents are plastic bag procurement ledgers, sales vouchers, semi-annual reports, and self-discipline commitments. Procurement ledgers and sales vouchers update daily, while semi-annual reports are submitted every half year.
In cross-border material and multilingual retrieval work, one procurement ledger may exist as a Chinese original alongside a translated copy. Retrieval must distinguish original from translation and check whether the entity, period, and field values agree. This matters because a translated copy can restate a quantity in different units or wording, and the retrieval layer does not by itself confirm that the two documents describe the same reporting obligation.
Constraints at the model connections step
Model connections depend on AI Proxy. In the App/Admin shared configuration, AIPROXY_API_ENDPOINT holds the AI Proxy service root address without an appended /v1, and AIPROXY_API_TOKEN holds a non-empty administrator token that matches the server configuration. Missing either item causes the startup validation to fail. The retrieval library requires same-model association: libraries built with different vector models cannot be associated together. Semantic recall and relevance scores do not carry permission or entity isolation duties, and a retrieval hit does not constitute authorization.
Hypothetical paper exercise sample. A retail headquarters compliance desk retains a document titled "First Half 2025 Plastic Bag Procurement Ledger." The Chinese original states: "Purchasing entity: East China Regional Headquarters; Statistical period: January 1, 2025 to June 30, 2025; Plastic bag procurement quantity: 120,000 bags." An English translated copy states: "Purchasing entity: East China Regional Headquarters; Period: Jan 1 – Jun 30, 2025; Quantity: 120,000 bags." One draft sentence is under review: "This ledger may serve as an attachment to the semi-annual report submitted to the regulator." The draft sentence concerns submission authorization, and the ledger itself carries no clause granting submission authorization.
Configuration and implementation checks
| Configuration item | Hypothetical starting value for this exercise | Reason and comparison method |
|---|---|---|
AIPROXY_API_ENDPOINT | Assume http://aiproxy:3000 | Documentation requires the root address without an appended /v1; compare the path ending against the documented example |
AIPROXY_API_TOKEN | Assume a non-empty administrator token | Documentation requires a non-empty token matching the server; compare against the AI Proxy server configuration |
AGENT_ENGINE | Assume fastAgent | Documentation lists fastAgent or piAgent; compare against the current deployment choice |
MILVUS_LANGUAGE_IDENTIFIER | Assume lingua | Documented default; compare against the vector store type, since only Milvus uses BM25 for full-text retrieval |
HNSW_EF_SEARCH | Assume 100 | Documented default, effective only for PG, OceanBase, and openGauss; compare against the vector store type |
DATASET_PARSE_MAX_PROCESS | Assume 10 | Documented default; compare against the observed parse queue concurrency |
Three common errors
- Writing
AIPROXY_API_ENDPOINTas a full request address that ends in/v1. The check input is the endpoint string in the hypothetical sample, the comparison is against the documented root-address format, and the observable result is whether/v1appears at the end of the path. - Treating a retrieval relevance score as a permission filter. The check input is the ledger retrieval request in the hypothetical sample, the comparison is between retrieved records and the authorized scope, and the observable result is whether a retrieval hit is taken directly as a basis for submission.
- Treating the Quantity field in the English translated copy as automatically identical to the Chinese original. The check input is the field values in the two hypothetical documents, the comparison is the same field across both, and the observable result is whether "120,000 bags" and "120,000 bags" are treated as one verified fact.
How to verify the setup
- Input the
AIPROXY_API_ENDPOINTstring from the hypothetical sample, compare it against the documented root-address format, and observe whether/v1is appended to the path. The expectation is that it is not appended. - Input the draft sentence "This ledger may serve as an attachment to the semi-annual report submitted to the regulator," compare it against whether the ledger text states a submission authorization clause, and observe whether an authorization statement appears in the original. The expectation is that none is stated, and the draft sentence remains pending verification.
- Input the Quantity field from the Chinese original and the English translated copy in the hypothetical sample, compare the same field across both, and observe whether "120,000 bags" and "120,000 bags" agree. The expectation is that the numeric values agree, while submission authorization still requires separate verification.