What the data for this category looks like
Special steel yield and market data comes primarily from three types of sources: domestic special steel spot trading platforms, futures exchange market data APIs, and industry association statistical data. Spot data completes daily market updates by 16:00 each day. Futures data is synced and released immediately after market close on each trading day. Monthly industry statistical data is updated by the 5th of the following month. Data documents use structured formatting. Individual data entries include fields such as product code, origin, specification model, daily settlement price, daily trading volume, inventory turnover days, and others. Units are: none (code), none (origin), string type (specification), yuan/ton, tons, days.
Constraints imposed by these characteristics on tool calling and plugins
The multi-source nature of special steel data requires tool calling to support parallel requests to different data sources, and timestamp alignment of returned results to avoid mixing market data from different time periods. The multi-dimensional nature of specification models requires plugin input parameters to support fuzzy matching and multi-condition filtering; otherwise, accurate recall of market data for target special steel products is not possible. Differences in update rhythms across data sources require matching cache policies to their respective update cycles to prevent returning expired data. Additionally, the high field complexity of special steel data requires tool calling to support specifying returned fields to avoid redundant data interfering with daily yield and market report broadcasts.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_http_timeout | 60 seconds | The deadline for special steel spot data updates is 16:00 daily; a timeout will cause missing the latest daily market data |
plugin_request_batch_size | 10–20 | Special steel product classifications are detailed; batch requests for 10-20 products balances call efficiency and data volume |
plugin_param_fuzzy_match | Enabled | Special steel specification models have abbreviated and full name differences; fuzzy matching improves recall accuracy |
cache_ttl | 86300 seconds | Spot data updates once daily; cache duration is slightly shorter than the update cycle to avoid returning expired data |
tool_auth_type | api_key + custom_header | Most special steel market data sources use custom request headers to pass authentication parameters |
response_filter_fields | ["product code","origin","specification","daily settlement price","month-on-month change amount","trading volume"] | Only retain core fields required for reports to reduce redundant content returned by plugins |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material forms, data volume and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Failed to correctly pass file-format authentication credentials when calling third-party spot data source APIs. This occurs when
tool_auth_typeis configured to only support form or JSON-format authentication, rather than supporting multiple types of authentication parameters. - Returned fields include irrelevant inventory detail data, leading to redundant report content. This occurs when
response_filter_fieldsis not configured, and the full set of data source fields is returned directly. - Failed to correctly pass global variable parameters when calling tools via API. This occurs when global variable key names are not correctly mapped in API requests, causing the tool to fail to obtain required special steel product filtering conditions.
How to Confirm Proper Configuration
- Trigger tool calling manually, and check if returned fields match those configured in
response_filter_fields. - Review tool calling logs to confirm authentication parameters are correctly included in request headers.
- Wait for the data source update cycle to end, then call the tool again to check if returned price data is up to date.
- Call the tool via API, and verify global variable parameters are correctly passed and applied to request filtering conditions.
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.