What the documents look like
For operating reviews in Store counts and loss control, this page examines FastGPT HTTP integrations. Inventory-review reads check analysis status, loss handling and visible recording contents. A returned title does not establish an investigated cause. The examples are hypothetical.
Constraints at the HTTP integrations step
Proposed review material lists possible discrepancy causes, a registered loss application and a recording-extraction request without actual inventory changes or video contents. Establish what the real contract returns instead of claiming to have watched a recording from its title. Possible causes remain analysis, and registration establishes intake. Even same-store sources cannot be combined into established attribution and adjusted inventory. No loss or quantity conclusions are supplied.
Configuration and implementation checks
| Inventory-review reading | Proposed source status | Actual check |
|---|---|---|
| Possible cause | Hypothesis | Not investigation confirmation |
| Loss application | Registered | Not stock deduction |
| Recording request | Title, not footage | Response visibility |
| Added source | Supported explanation only | No invented unseen content |
| Formal handling | Investigation and writes separate | Reading assigns no responsibility |
Documented conditions
| Documented item / implementation check | Condition |
|---|---|
Request address and method | The request address and method follow the external contract. |
Params and Headers | Inspect parameters, headers and authentication separately. |
| Body | Where a JSON body is used, validate its structure against the external contract. |
Variable references | Variables can come from global, system or upstream outputs. |
Debug identity fields | Test mode lacks chatId and responseChatItemId. |
Three common errors
Hypothesis promoted to cause needs real investigation evidence. Application promoted to deduction needs the actual business outcome. Extraction title promoted to observed footage requires response contents and original-access evidence. These inspect inference, execution and visibility independently of successful reading.
How to verify the setup
Retain the actual request and returned scope. Added investigation material changes supported explanations only; unseen footage remains unseen. Empty responses require authority and subject checks before denying anomalies. Investigation, loss approval and stock writes need separate authority and receipts. Reading performs none automatically and determines neither personal responsibility nor prevention effects. Distinguish known facts, unresolved matters and unobtained material throughout the report.
| Material context | Scope |
|---|---|
| Document types | Inventory Count Sheet, Discrepancy Analysis, Spoilage Approval and Monitoring Footage Review Records |
| Candidate sources | POS Inventory, WMS, Monitoring System and SB/T Inventory Count Standards |
| Technical baseline | FastGPT v4.17.2 |