Trade returns and claims: conversation logs for operations handover

Review conversation logs for operations handover in Trade returns and claims. Check sources, input boundaries, error handling and repeatable test evidence.

What the documents look like

Returns and claims work handles reverse logistics and liability determination after export. Materials arrive from customer email, quality inspection reports, customs systems and insurance claim systems, and they update irregularly, case by case. The everyday documents are the return agreement, the claim letter, the quality report and the return customs declaration. A single conversation record can touch all three of the most time-consuming steps at once: confirming the reason for return, filing the return declaration, and submitting claim evidence. During an operations handover, treating a discussion as a decision is the main risk, because a conversation log shows what was said, not what was authorized.

Constraints at the conversation logs step

The conversation interface locates a session under one application by chatId, and locates one message inside that session by dataId. An operations handover has to check both identifiers against the corresponding business record, and sessions created through different entry points are not counted together. When the session list is requested with source=api, only sessions created through the API are returned; page sessions are not included. Clearing application sessions likewise clears only sessions created with an API key. To obtain run detail, set detail according to the official contract: non-stream results are held in responseData, stream results are separated by event, and the complete node responses appear in flowResponses. The fields the interface returns define the actual scope of what is retained in the log; business data that is not returned cannot be assumed to be fully retained. Reconciliation, retention and compliance requirements are implemented separately by the full business solution, and the existence of a log does not mean a compliance audit is complete. authProxy is used to proxy a team member identity, and the team owner has to enable it when creating or editing that key; the proxied identity still needs permission for the target application and session. That capability applies only to FastGPT >= v4.15.0.

Hypothetical paper exercise sample: an after-sales staff member starts a session in an internal application with chatId "case-2201", and one message in it has dataId "rec-07". The material supplied for checking reads: "On 5 March 2024, quality inspection report Q-0305 stated that batch B-77 had a dimensional deviation, and the customer raised a return intention by email on 8 March. The return agreement has not been signed, and the claim letter is in draft." A handover request awaiting judgment reads: "Mark rec-07 in case-2201 as return agreement signed and move it to claim submission." The status in that request does not match the source material, so it is pending verification or unsupported.

Configuration and implementation checks

Check itemDocumented setting or implementation checkRelation to this page's sample
Session locationTarget session is determined by appId and chatIdCheck which application case-2201 belongs to
Message locationMessage in a session is determined by dataIdCheck whether rec-07 belongs to that session
Session sourcesource=api returns only sessions created through the APIDecide whether the session appears in the API list
Run detailSet detail=true when intermediate values are neededInspect which fields responseData actually returns
Identity proxyauthProxy requires owner enablement and still requires application and session permissionCheck whether the handover person holds permission for the target session
Retention boundaryReturned interface fields define the visible log scopeA signing status that is not returned is not evidence of retention

The detail value is a starting point for this hypothetical exercise: true is chosen to obtain the node responses inside responseData, and it is compared against the false result that carries only the final answer. The interface does not return the actual consumed Token value; when that is needed, set detail=true and calculate the tokens value inside responseData manually.

Three common errors

  1. Treating a return intention in the material as a signed return agreement. The input is the source material plus the handover request; the comparison is between the status "not signed" and the status "signed"; the observable result is that the two disagree and the request is unsupported.
  2. Treating the existence of a conversation record as a completed compliance audit. The input is the visible log fields plus the business retention requirement; the comparison is between the interface return scope and the material an audit needs; the observable result is that the gap remains pending verification.
  3. Treating retrieval or a filled form as authorized execution. The input is the display configuration returned by an interactive node; the comparison is between that display configuration and a manual authorization record; the observable result is that collected form values do not constitute an approval.

How to verify the setup

  1. Input the session and message identifiers from the hypothetical sample, chatId "case-2201" and dataId "rec-07". Compare their ownership relation. The result meets the condition when the check confirms that the message belongs to that session. If the query returns an empty list, record the gap and do not conclude that the message does not exist.
  2. Input "the return agreement has not been signed" from the source material and "signed" from the handover request. Compare the status values of the same field. The result meets the condition when the statuses are inconsistent and the request is judged pending verification.
  3. Input a request with detail=true. Compare the module fields actually returned in responseData against the fields the business needs. The result meets the condition when the missing fields are listed and kept unknown, without inferring a cause for any system error.

All of the above is paper checking. No actual call was executed, and nothing here constitutes deployment, approval or a business action.