Trade and FX administration: conversation logs for after-sales questions

Review conversation logs for after-sales questions in Trade and FX administration. Check input mappings, source evidence and failure handling before use.

What the documents look like

For foreign-exchange receipt and settlement work, the conversation log is not built around a full set of letter-of-credit documents. The materials that appear in the log are the foreign-exchange receipt voucher, the trade contract, the invoice, and the foreign-exchange business registration material. The people who handle these records are trade finance staff, bank relationship managers, and foreign-exchange specialists. Data updates per transaction and per month.

The practical difference from letter-of-credit document examination is the object of attention. This category looks at the authenticity of the foreign-exchange funds and the trade background. It does not examine a complete set of letter-of-credit documents, so the material types that appear in the log differ from a document-checking scenario. When something goes wrong, the consequences include the bank returning the document, an abnormal foreign-exchange classification, and funds that cannot be credited. A log audit therefore needs to locate the correspondence between a specific conversation and a specific document.

Constraints at the conversation logs step

Conversation identity depends on chatId. When chatId is a non-empty string, FastGPT automatically takes the session from the database and uses the last item in the messages array as the user question; the remaining messages are ignored. The caller has to ensure chatId is unique and shorter than 250 characters. When responseChatItemId is passed, it becomes the ID of this response message and is stored in the database; it has to be unique under the current chatId.

When run details are needed, the chat interface is called with detail=true according to the official contract. Intermediate values and complete results are kept in responseData. In non-stream mode the module responses sit in the responseData array. In stream mode the distinction is made through event, and the flowResponses event carries the node's complete response. Business data that the log does not return cannot be assumed to have been retained in full. A similarity score in a retrieval result does not carry permission or entity-isolation duties, and retrieval does not constitute authorization.

Hypothetical paper exercise sample. The source text for checking reads: "On 12 March 2025, Company A exported a batch of goods to Company B, contract value USD 50,000. The foreign-exchange receipt voucher shows the payer as Company C, amount USD 50,000, credited on 20 March 2025." The draft sentence to be judged reads: "The receiving entity in this receipt is the same as the contract buyer, and the trade background has been verified." The subjects needed for the judgment are A, B, and C. The object is the USD 50,000 receipt. The status is credited. The effective scope is March 2025. The draft sentence goes beyond what the material supports: the payer in the material is Company C, which differs from the contract buyer Company B, and the material does not state the relationship between Company C and Company B, nor does it state any verification conclusion.

Configuration and implementation checks

Configuration itemHypothetical starting point for this exerciseReason for the choice and comparison method
chatId usageOne unique chatId per foreign-exchange receipt transactionCorresponds one-to-one with the business document; compare whether different chatIds mix conversations from the same document
responseChatItemIdPass a unique value per conversationKeeps the response message locatable; compare whether duplicate values appear under the same chatId
detail parameterSet to true when run details are neededObtain responseData per the official contract; check whether module responses are returned completely
stream parameterChoose true or false according to the calling client's capabilityUnder stream, take flowResponses from event; under non-stream, take it from responseData
Session sourcePass source=api when retrieving the session listRetrieves only sessions created through the API, not mixing in page sessions
Feedback fieldPass userGoodFeedback or userBadFeedback as neededOmit the corresponding parameter when cancelling; compare whether the feedback state matches the operation

These values are hypothetical starting points for this exercise and are not official default values. The configuration items cover only settings described in the official documentation. Database writes, external synchronization, approval, and compliance retention are handled by the complete business plan separately.

Three common errors

  1. Mixing sessions from different entry points. The input is conversation records from two different chatIds. The comparison is whether they are treated as the log of the same foreign-exchange receipt transaction. The observable result is conversation content from the same document appearing across chatIds.
  2. Treating unreturned fields as retained. The input is responseData with detail=true. The comparison is whether it contains the fields the business needs. The observable result is a field that is absent but recorded as retained.
  3. Treating a retrieval result as the basis for authorization. The input is a quote list with a high similarity score. The comparison is whether that list is used to judge that a foreign-exchange receipt has been approved. The observable result is a retrieval hit written up as approval.

How to verify the setup

  1. Using the source text and draft sentence in the hypothetical sample, the input is "The receiving entity in this receipt is the same as the contract buyer, and the trade background has been verified." Compare whether the payer Company C in the material and the contract buyer Company B are the same subject. If they differ and no relationship is stated, the draft sentence is not supported by the material and is recorded as pending verification.
  2. Using the same hypothetical sample, the input is chatId and responseChatItemId. Compare whether responseChatItemId is unique under the same chatId. If a duplicate value appears, that response message cannot be uniquely located, and the actual returned value is recorded.
  3. Using the same hypothetical sample, the input is a request with detail=true. Compare the module response fields in responseData with the fields the business audit needs. If a needed field does not appear, record it as unsupported and do not assume it was retained.