What the data for this category looks like
Document and material data for iron and steel smelting mainly comes from real-time process reports from production workshops, finished product inspection sheets from quality inspection centers, and purchase and sales contracts and technical agreements from business departments. Data updates follow production batches. Each batch of documents includes fields such as furnace number, smelting temperature, rolling thickness, chemical composition test values, and outbound weight. Most field units are degrees Celsius, millimeters, tons, and ppm. The length of a single document is mostly 800-1500 characters. Some bulk contract documents can reach 5000 characters.
What constraints these characteristics impose on the "HTTP Interfaces and External Systems" link
The batch-binding characteristic of iron and steel smelting documents requires HTTP interfaces to carry unique identifiers such as furnace number and contract number as request parameters. This prevents cross-batch data mixing. Significant differences in single document length require interfaces to support dynamic adjustment of the maximum request body size. The ppm-level precision of chemical composition test values requires interfaces to retain sufficient decimal places during transmission, and avoid truncation. High-frequency calls for bulk contract documents require interfaces to use reasonable timeout thresholds and retry mechanisms. This supports high-concurrency requests.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Authorization | Bearer {internal_api_key} | Follow HTTP standard authentication formats, and adapt to the internal authentication rules of iron and steel smelting systems |
variables | {"batchNo": "example value", "chemTest": "example value"} | Bind unique identifiers and test data of iron and steel smelting documents to avoid cross-batch confusion, and adapt to the variable calling rules of FastGPT v4.17.0 |
responseData | Only retain furnace number, test value, and outbound weight fields | Filter redundant information, and focus on core content required for document drafting |
| Timeout threshold | 600 seconds | Adapt to the scenario of pulling bulk contract documents, and avoid timeout interruptions |
| Maximum request body size | 12000 characters | Adapt to the transmission requirements of long documents |
| Retry count | 2 times | Respond to network fluctuations, and ensure the stability of data pulling |
Three common mistakes
- Phenomenon: The workflow runs without triggering the HTTP request, and directly enters the AI conversation phase. Cause: The HTTP request node is not configured as a pre-execution node, and the workflow prioritizes AI generation logic by default order.
- Phenomenon: Front-end calls to the conversation interface return a CORS error with a status code of 403 or 405. Cause: Cross-domain allowed request headers are not added to the interface configuration of the iron and steel smelting system, or the correct source domain whitelist is not configured.
- Phenomenon: Pulled document data has missing fields or unexpected formats. Cause: The
responseDataconfiguration item is not used to specify the fields to retain, or the JSON structure returned by the iron and steel smelting system is not matched.
How to verify the configuration is correct
- View workflow operation logs, confirm that the HTTP request node is executed before the AI conversation node, and the request parameters include iron and steel smelting-specific identifiers such as furnace number and contract number.
- Use an interface testing tool to send a request, verify that the returned data only includes core fields required for document drafting, and the format meets expectations.
- Check the interface authentication configuration, confirm that the
Authorizationparameter format is correct, and the returned data from the iron and steel smelting system can be obtained normally. - Simulate a bulk document request, verify that the interface timeout threshold and retry mechanism can handle high-concurrency call scenarios.
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.