What the data for this category looks like
Public reports from domestic special steel industry professional information platforms and industry self-regulatory organizations, regular research summaries and announcements of listed special steel enterprises are the main data sources. Regular updates follow a set schedule: monthly industry supply and demand and price briefings, quarterly in-depth industrial analysis research reports, and ad-hoc reports added during major policy adjustments or supply and demand fluctuations. Documents typically include five modules: overall industry overview, supply and demand data for core categories, price trends, downstream demand breakdown, and risk warnings. Fields include output volume, import and export volume, average price, capacity utilization rate, with corresponding units of ten thousand tons, ten thousand tons, yuan/ton, and percentage respectively. The length of individual documents varies widely, ranging from thousands to tens of thousands of words.
What constraints do these characteristics impose on the tool calling and plugins link
The multi-source data origins, differentiated update schedules, and non-standard fields of special steel research reports impose multiple constraints on the tool calling and plugins link. Multi-source data includes reports in varying formats from industry platforms and enterprise announcements. Implementing unified field mapping rules ensures consistent data structure after parsing. Update frequencies cover monthly, quarterly, and ad-hoc emergency scenarios. Configuring flexible scheduled pull cycles supports these varied update frequencies, while reserving manual trigger interfaces prepares for ad-hoc reports. The wide range of individual document lengths requires limiting single-document parsing timeout and segment length to avoid tool calling timeouts. Defining clear unit mapping rules in tool configurations prevents deviations in numerical interpretation for some special steel-specific industrial parameters that require fixed matching units.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Individual special steel research reports can be up to tens of thousands of words long. 300 seconds covers most long document parsing workflows and avoids parsing timeouts |
recall_top_k | Top 8-12 entries | Core data from special steel research reports is scattered across multiple modules. Recalling 8-12 entries covers key information points while balancing information completeness and calling efficiency |
max_context_window | 8000-12000 characters | In-depth analysis content in special steel research reports is lengthy. This range retains sufficient context for logical judgment and result integration during tool calling |
DB_CONN_TIMEOUT | 60 seconds | Database queries associated with special steel research reports typically involve multi-table joins and historical data retrieval. 60 seconds covers the response duration of most conventional queries |
update_cron | 0 0 2 * * 1,3,5 | Adapts to the mixed schedule of monthly updates and ad-hoc fluctuations for special steel research reports. Scheduled pulls run at 2 AM every Monday, Wednesday, and Friday |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- A
400 status code (no body)is returned when calling the API for the associated MySQL tool. This occurs when required database connection parameters are not correctly included in the request body, or when the parameter format does not comply with the validation rules of the tool configuration. - The unit of special steel price data returned by tool calling does not match expectations. This occurs when unit mapping for special steel-specific fields is not specified in the configuration, causing automatic adaptation to generic units instead of the yuan/ton noted in the research report.
- Context information cannot be retained when calling the workflow via API. This occurs when historical conversation context is not included in the
messagesfield of the API request, or when the workflow's context switch is not linked to the API call parameters.
How to confirm the configuration is correct
- Run a parsing test for a single special steel research report, and verify that the parsed fields and units match the original document.
- Trigger a scheduled pull task, and verify that the tool performs data synchronization according to the configured cycle and that new data has been synced to the knowledge base.
- Call the test API, pass in historical conversation context parameters, and verify that the tool can associate historical information to generate corresponding results during calling.
- Simulate long document or abnormal data scenarios, trigger tool calling, and verify that the timeout configuration takes effect and no parsing failures occur.
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.