What this category of data looks like
Data for steel smelting service consultation and reply comes from multiple sources: on-site inspection records of internal operations staff, real-time parameter logs from production central control systems, business consultation work orders from downstream customers, and internal scheduling problem feedback ledgers.
Update frequency: Real-time parameter data such as furnace temperature and feeding volume updates every 1 to 5 minutes. Work order data is generated in real time when a consultation is submitted. Daily aggregated cross-process consultation ledgers are updated at early morning each day.
All data uses standardized structured formats. It includes unique consultation identifier, consultation initiation time, consultation content, associated production process/batch number, reply content, processing status, and processor identifier.
Field and unit specifications: Furnace temperature parameters use degrees Celsius as the unit. Feeding volume uses tons as the unit. Time format follows the ISO 8601 standard. Production batch numbers use a fixed format combining letters and numbers.
Constraints for HTTP Interfaces and External Systems
The characteristics of steel smelting consultation and reply data create multiple constraints for HTTP interface and external system setup.
High-frequency real-time parameter updates require interfaces to support short-cycle queries. This prevents data lag that reduces the accuracy of consultation replies. The production batch number field requires interfaces to support batch number as a filter parameter. Without this, the interface returns mixed cross-process data that cannot match the specific consultation scenario. Data confidentiality requirements mandate that interfaces use compliant authentication mechanisms. This prevents leakage of sensitive production data. Multi-source data association needs require interfaces to support cross-system data splicing. A complete consultation reply call cannot rely on a single data source alone.
Reference only; verify against the target FastGPT release and deployment documentation.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bearer {pre-configured internal service secret} | Adapts to the authentication rules of steel smelting production systems, ensures compliant interface call permissions, and prevents sensitive data leakage |
variables | {"time_range": "last_30_minutes", "process_type": "blast_furnace"} | Binds time range and smelting process parameters, accurately matches the production scenario for the consultation, and narrows data query scope |
responseData | pick(["consult_id", "create_time", "reply_content"]) | Only returns core consultation and reply fields, reduces invalid data transmission, and meets lightweight data transmission requirements for steel smelting data |
Three Common Configuration Mistakes
- Calling the interface returns HTML page content instead of the expected JSON data. The cause is incorrect configuration of the
Authorizationparameter. Using a secret that does not comply with system authentication rules triggers the platform's login interception mechanism. - The conversation data returned by the interface includes large amounts of content unrelated to smelting, and cannot match the current consultation's process scenario. The cause is failure to bind process or production batch parameters via
variables, which pulls full historical consultation data. - Unable to retrieve exclusive conversation records for a specified user, and the interface returns consultation data for the entire platform. The cause is failure to carry the correct user identifier parameter in the request, resulting in no data filtering by user dimension.
How to Confirm the Configuration Is Correct
- A test request carrying valid authentication information is submitted, and the response status code is confirmed as 200 OK.
- The fields returned by
responseDataare checked, and only core consultation and reply information is confirmed to be included, with no redundant content. - Returned data is verified to be associated with the preset production process or batch number, and to meet the scenario requirements of the current consultation.
- 5 to 10 consecutive test requests are sent, and the response delay is confirmed to meet business requirements.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.