What the data for this category looks like
Data related to carbon steel yield rates comes primarily from steel spot trading platforms, futures exchange market APIs, and industry information institutions. Full daily reports are generated after market close on each trading day. Some real-time market APIs push the latest transaction prices every 15 minutes. Each daily report includes fields such as product specification, origin, daily benchmark price, previous trading day's benchmark price, daily trading volume, total social inventory, and more. Price unit is yuan/ton, trading volume unit is ton, inventory unit is ton. Most documents are structured tables or text files with fixed fields. Some data sources include daily market commentary.
What constraints these characteristics impose on workflow orchestration
The multi-source nature of carbon steel data requires configuring multiple parallel tool call nodes to connect to spot, futures, and information institution APIs separately. Data sources with different update schedules need matching scheduled trigger rules. Real-time market nodes must be set to cycle every 15 minutes. Daily report nodes must be set to trigger after trading day market close. The detailed field attributes require text extraction nodes to include precise matching rules for specification and origin, to avoid mixing data across categories. Consistent data units require adding a data validation step to check units for extracted price and trading volume fields, preventing calculation errors in yield rate calculations caused by unit conversion mistakes. Additionally, carbon steel market data has a large number of fields. A data cleaning node must be added to the workflow to filter out invalid fields and simplify subsequent calculation logic.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| `Scheduled Trigger Configuration | Real-time market node set to every 15 minutes, daily report node set to 16:30 on trading days | Matches the actual update schedule of carbon steel spot and futures data |
Text Content Extraction - Matching Rules | Configure matching patterns that include category keywords such as "HRB", "wire rod", "rebar" + field names | Precisely filter target fields for carbon steel categories, avoid mixing cross-category data |
Tool Call Timeout | 600 seconds | Multi-source data pulling requires waiting for multiple API responses, prevents workflow interruptions from network delays |
Multimodal Processing Switch | Off | Carbon steel market data is mostly structured text, no multimodal model processing is required |
Tool Call Model Binding | Bind Qwen2 series models only for plain text processing nodes | Meets tool call requirements for yield rate calculations, avoids wasting model resources |
| `Specified Reply Trigger Condition | Set to `extracted fields are empty | Automatically triggers a prompt reply when data pulling or extraction fails |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Tool call node returns
504 Gateway Timeouterror. Cause: No reasonabletool call timeoutis set, insufficient wait time during multi-source data pulling causes APIs to fail to return complete responses. - Symptom: Text content extraction node returns empty fields, workflow terminates directly without waiting for user input. Cause: User input waiting configuration is not enabled, causing the workflow to end immediately after the specified reply is triggered, and conversation context is not retained.
- Symptom: Multimodal models are incorrectly called to process structured market data. Cause: Model binding rules are not differentiated, multimodal models are bound to plain text processing nodes, leading to unnecessary model resource consumption.
How to Confirm Correct Configuration
- Manually trigger the workflow, review execution logs for each node, confirm all configured data sources successfully return valid data, and extracted fields have no empty values.
- Simulate a scenario where text extraction returns empty fields, trigger the specified reply node, verify that the workflow pauses and waits for new user input.
- Check model binding configurations, confirm plain text processing nodes are bound to tool call models, and multimodal nodes are not incorrectly bound to non-essential scenarios.
- Check scheduled task records, confirm real-time market and daily report nodes start as scheduled, with no missed triggers.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.