What the documents look like
Brand livestream operations place scriptwriting, inventory, and after-sales responsibility on the brand itself, so procurement records and supplier files decide whether a product explanation card can state sellable quantity and delivery terms without overreach. These materials change every session and every hour, and live scripts, product explanation cards, shift rosters, and post-session reviews are frequently reconciled by hand. Data sources include the Douyin Shop Compass, Juliang Qianchuan, livestream comments, and transaction details. The HTTP integrations step connects purchase orders, supplier receipts, and inventory snapshots into the workflow so floor controllers and ad specialists can check them before going live. Overselling and false-advertising complaints are the main consequences, so an HTTP call only moves data; authorization and business confirmation still require a person or a downstream system.
A hypothetical paper exercise sample is used below. The material supplied for checking reads: “Supplier A confirmed on 10 March 2025 that Spring Style A can supply 800 units, and the quotation is valid until 31 March 2025; the buyer has not yet signed the purchase contract.” The handover request to be judged reads: “Write into the live script that Spring Style A has 800 units sellable and supply is locked.” This request conflates quotation validity with a supply commitment. Signing, reaching cooperation, and contract effectiveness are three distinct facts, and the material does not state that the contract took effect, so “supply is locked” is not supported.
Constraints at the HTTP integrations step
The HTTP module sends a request to a corresponding address, and Params, Body, and Headers can all reference variables through {{}}. Variables come from global variables, system variables, and preceding node outputs. System variables include appId, chatId, responseChatItemId, variables, cTime, and histories; chatId and responseChatItemId do not exist in test mode, so empty values during debugging are not business faults. Return values are extracted through JSON path, and when the output type is string, the value for the corresponding key is converted to a JSON string. The chat endpoint uses APIKey authentication, recommends passing body.appId in the request body, and also supports Authorization: Bearer <apiKey>-<appId>. Passed fields such as model and temperature have no effect and are decided by the orchestration. Using authProxy to act as a team member requires the team owner to enable it, and the proxy identity still needs permission on the target app and session. Similarity affects recall ordering only and does not perform permission or entity isolation.
For the hypothetical sample, the supplier receipt query is a POST request whose Body references the purchase order number and date variables. A returned receipt status is extracted by JSON path. The purchase order remains in a pending-review state, and pending review does not constitute approval and does not trigger a downstream write. The quotation validity date in the sample is 31 March 2025; the material does not state a supply period, so a card claiming “long-term supply” goes beyond the source text.
Configuration and implementation checks
| Configuration item | Hypothetical starting point for this exercise | How to check and why |
|---|---|---|
| Request address BaseUrl | Supplier receipt query endpoint address | Choose per the external interface document; if a 404 appears, add the v1 path and retry |
| Request method | POST | Matches the external interface contract; Body takes effect only under this type |
| Headers authentication | Authorization references a token variable | Credentials are injected through secure configuration and are not written into public samples |
| Body fields | Reference purchase order number and date variables | Check the JSON structure and the actual passed values item by item |
| Return value extraction | Extract receipt status by JSON path | When the output type is string, the value is converted to a JSON string |
| Authorization boundary | Record the pending-review state | Pending review is not approval and does not trigger a downstream write |
Three common errors
- Treating quotation validity as a supply period. The material states the quotation is valid until 31 March 2025 and does not state a supply period. Writing “long-term supply available” on an explanation card is an inference beyond the source text.
- Treating a pending-review request as approved. When a purchase order is in pending-review state, the HTTP call only completes the query; business approval and database writes require downstream implementation and are not performed by the HTTP module itself.
- Treating retrieval similarity as a permission filter. Similarity affects recall ordering only and does not exclude unrelated suppliers or unauthorized records. Libraries using different vector models cannot be associated together; check identifiers first and exclude those that do not match.
How to verify the setup
- Input the hypothetical sample source text and the proposed sentence “Spring Style A has 800 units sellable and supply is locked.” Compare “supply is locked” with the source wording “the buyer has not yet signed the purchase contract.” The observed result is that the proposed sentence is not supported and must be rewritten as pending verification.
- Input a test-mode request with chatId empty and responseChatItemId empty. Compare this with the system variable description that neither exists in test mode. The observed result is that the request can still execute, and the empty values are not recorded as business faults.
- Input a clearly paper-based empty result
[]. Compare how the downstream node is designed to handle an empty list. The observed result is that the downstream follows its empty-result branch; no claim is made that a fictional rule would necessarily return an empty list.