What the documents look like
Fresh-food supplier claims pursue responsibility for quality at arrival. They do not handle natural in-store shrinkage, and that boundary shapes what conversation logs and audit work must reconcile. Claim evidence comes from quality inspection systems, WMS receiving records, supplier contracts and finance reconciliation. The everyday documents are quality exception forms, photo evidence, deduction notices and claim reconciliation statements. Data updates per batch and per month.
Operating reports and exception reviews need to answer whether a quality exception for a given arrival batch was recorded, whether the deduction notice agrees with the claim reconciliation statement, and whether communication about replacement or compensation left a traceable conversation. Conversation logs and audit carry the reconciliation work that maps conversation records to business documents. They do not carry authorization, approval or financial posting.
A conversation interface uses chatId to identify a conversation under one application, and dataId to identify a dialogue under one conversation. When reconciling claim communication, locate the target dialogue by chatId and dataId, and do not merge sessions from different entry points into one total. When run detail is needed, set detail according to the official contract; in non-stream mode the result is held in responseData, and in stream mode it is distinguished by event. Business fields absent from a log cannot be presumed to have been retained in full. Identity fields in test mode and production calls may differ, so inputs, history and returned content are checked separately. Retrieval and similarity do not constitute permission or entity isolation. The existence of a log does not mean a compliance audit is complete; reconciliation, retention and compliance requirements are handled by a full business solution.
A hypothetical paper exercise sample: a fresh-produce buyer and a supplier discuss a quality exception on a batch of leafy greens. The source wording supplied for checking is three sentences. "The quality exception form states: batch YC-0310 arrived on 10 March 2025; receiving judged the leaves wilted; quantity 120 boxes." "The deduction notice states: a deduction is proposed for batch YC-0310; the amount is pending reconciliation confirmation." "The supplier replies: agrees to replace 120 boxes; for the deduction amount please rely on the reconciliation statement." The draft sentence to be judged is: "The supplier has confirmed the deduction amount and completed compensation." Compared with the source wording, the source records only agreement to replace and a request to rely on the reconciliation statement. It records neither a confirmed amount nor completed compensation, so the draft sentence is unsupported.
Constraints at the conversation logs step
The claim reconciliation target is the batch, and the conversation record is only evidence of communication about that batch. Locating a dialogue by chatId and dataId keeps the batch identity attached to the right conversation. A chatId is a non-empty string, must be unique, and is documented as shorter than 250 characters. When chatId is not passed, FastGPT context is not used and the context is built entirely from the messages supplied. When chatId is a non-empty string, the conversation is taken from the FastGPT database and the last message content is used as the user question, with the remaining messages ignored. This matters for reconciliation because a request that omits chatId cannot be treated as continuing the same claim conversation.
Run detail is a separate condition. The detail field controls whether intermediate values, module status and the full response result are returned. In stream mode these are distinguished by event; in non-stream mode the result is held in responseData. A response returned with detail=false does not contain responseData, so the absence of intermediate values in that response is not evidence that a node did not run.
The conversation CRUD endpoints operate on conversation records. getHistories returns a conversation list for an appId with offset, pageSize and source, and source=api returns only conversations created through the API. updateHistory changes customTitle or top for a given chatId. delHistory deletes a single conversation, and clearHistories clears only conversations created through an API key, leaving online use, share links and other sources untouched. getPaginationRecords returns dialogues under a chatId, with loadCustomFeedbacks optionally reading custom feedback. getResData returns run detail for one dataId. updateUserFeedback records userGoodFeedback or userBadFeedback against a dataId. None of these operations approves a claim, posts a deduction or confirms a supplier's agreement.
Configuration and implementation checks
| Configuration or check item | Relation to this page's documents | Implementation check |
|---|---|---|
| appId | Application identifier for the conversation interface | Check that the request body appId matches the application holding the target claim communication |
| chatId | Conversation identifier, shorter than 250 characters | Check that communication for one batch uses one chatId, and record the batch identity separately |
| dataId | Dialogue identifier under a conversation | Check that the target dialogue corresponds to the batch on the quality exception form |
| detail | Whether intermediate values are returned | Set detail=true when run detail is needed, and inspect responseData rather than inferring from its absence |
| stream | Streaming or non-streaming return | In non-stream mode read responseData; in stream mode read the event field |
| loadCustomFeedbacks | Reading custom feedback | Pass the parameter when feedback is needed, and treat the returned feedback as a record, not as an approval |
Three common errors
- Merging communication under different chatIds into one batch claim total. Input: two conversation lists under two different chatIds. Compare the batch identifier on each. Where the batch is the same but the chatId differs, the records remain separate conversations, and merging them confuses responsibility.
- Treating a supplier's agreement to replace as completed compensation. Input: the supplier reply wording. Compare whether a confirmed amount and a statement of completed compensation appear. The wording records only replacement intent and a pending reconciliation, so the claim is unsupported.
- Treating a detail=false response as a complete run record. Input: a response obtained with detail=false. Compare whether responseData is present. That response does not contain intermediate values, so it cannot support the conclusion that a node did not run.
How to verify the setup
- Input the three source sentences and the draft sentence from the hypothetical sample. Compare whether the draft sentence contains a confirmed amount and completed compensation that the source wording does not record. If the draft sentence contains content not present in the source, the draft is unsupported.
- Input two conversation records with different chatIds for the same batch. Compare the batch identifier and the conversation identifier. If the batch is the same while the chatId differs, the records cannot be merged into one total.
- Input the returns from two requests, one with detail=true and one with detail=false. Compare whether responseData is present. If the detail=false return has no responseData, the run detail is incomplete and the check must be repeated with detail=true.
These checks observe the named primary task of reconciling claim communication against source documents. They do not certify identity, approve a claim, post a deduction or confirm that a supplier performed compensation. Where the source wording is silent on an amount or a completion state, that gap remains open and is recorded as unsupported rather than resolved.