What the data for this category looks like
Data sources for industrial metals research reports include public statistics from industry associations, futures exchange delivery data, in-depth reports from securities firm research institutes, and regular financial reports from mining enterprises. Update frequencies vary: spot price data updates daily or hourly, inventory data updates weekly, industry supply and demand balance sheets are released monthly, and in-depth reports are updated quarterly or annually.
Document structures typically include core indicator tables, upstream and downstream industrial chain analysis, and policy interpretation modules. Fields include grade, delivery grade, spot price, futures price, total inventory, and more. Units include USD/ton, CNY/ton, ten thousand tons, and others. Some international data sources also include professional fields such as premium/discount and warehouse receipt quantity.
Constraints on Tool Calling and Plugins
Disparate data sources require plugins to support multi-API integration and cross-platform authentication. Dedicated authentication parameters must be configured for each different data source. Differences in update frequencies require independent sync trigger periods for each data source, to avoid excessive API calls or data lag. Inconsistent field units require plugins to include built-in standardization conversion rules. These rules can convert USD-denominated international market prices to CNY, the common domestic pricing unit, or unify inventory units. Wide variation in report length requires configuring appropriate chunk lengths to retain professional term context and avoid semantic breaks. Non-standard naming of professional indicators requires plugins to support custom field mapping, to convert non-standard indicator names in reports to unified retrieval fields.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | The core content of a single segment of industrial metals research reports is typically 1000-3000 characters. This range covers 3-4 segments of core information and avoids context window overflow |
recall_top_k | Top 6–10 results | Core indicators of industrial metals research reports are scattered across different paragraphs. Recalling 6-10 results covers key information across supply and demand, price, policy and other dimensions |
plugin_sync_interval | 1 hour / 1 day / 1 week | Adapts to the update frequencies of different data sources: sync spot data hourly, inventory data daily, and industry research reports weekly or monthly |
field_mapping_rule | Category preset rules + custom supplements | Industrial metals have unified standard fields. Non-standard fields in reports must be mapped to universal retrieval fields such as spot_price and inventory |
plugin_timeout | 300 seconds | Reserves sufficient time for API requests and data processing when calling across multiple data sources, to avoid premature timeout |
parse_chunk_size | 800–1200 characters | Industrial metals research reports are dense with professional terms. This chunk length retains term context and avoids semantic breaks |
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. Each scenario requires specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Tool calls work normally in workflow debug mode, but return a
workflow_validation_failederror in runtime mode. Cause: Runtime mode does not have environment variables for database connections or API keys configured. Debug mode only loads local temporary configurations. - Symptom: Research report data fields returned by tool calls are empty. Cause: The
field_mapping_ruleconfiguration is missing, and non-standard indicator names in reports are not mapped to universal retrieval fields. This prevents the retrieval engine from recognizing valid content. - Symptom: Tool calls time out and return a
504 Gateway Timeouterror. Cause: Theplugin_timeoutparameter is set too low, and does not accommodate the time required for cross-international data source calls. For example, setting the timeout threshold to 60 seconds when actual calls take over 200 seconds.
How to Verify Proper Configuration
- Access the plugin debug panel, manually trigger a research report retrieval, and check if the returned results include preset standard indicator fields.
- Review the plugin wiring and parameter configurations in the workflow, confirm that all required parameters have no format errors or missing values.
- Check tool call logs, confirm that the response code is
200 OK, and there are no authentication failure or timeout records. - Compare the manually retrieved original research report with the extracted content returned by the tool, confirm that the mapping and extraction of core indicators meet expected outcomes.
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.