What the data for this category looks like
Energy metal research report data primarily comes from industry associations, commodity exchanges, securities firm research institutes, and professional information platforms. Spot data is updated daily. Weekly industry dynamic reports are released on a weekly basis. In-depth research reports are released alongside major policies or market milestones. Document structures include core price data, supply and demand balance sheets, policy interpretations, and downstream application analysis. Some documents include structured tables. Fields and units follow unified standards: prices are measured in yuan per ton, inventory and production volume are measured in ten thousand tons, and some data is marked with origin and trading venue.
Constraints imposed by these characteristics on tool calling and plugins
Data sources for energy metal research reports are scattered, and their update cycles vary significantly. This requires tool calling to support differentiated configuration for multiple data sources, to avoid mismatches between cache duration and data update frequency. The presence of structured tables and multi-dimensional fields requires plugins to have structured data parsing and unit standardization capabilities, to ensure extracted data can be directly used for Q&A. The large number of sub-categories requires tool calling to support parameters for filtering by category, to prevent mixing of data across different categories. Spot data has high real-time requirements, so tool calling must prioritize pulling from the latest data sources, avoid relying on stale caches, and adapt to time fluctuations caused by cross-data-source calls.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
tool_call_timeout | 120 seconds | Energy metal research reports require pulling spot data from exchanges and statistical data from associations, leading to longer single tool call durations. This setting prevents premature interruptions |
plugin_cache_ttl | 30 minutes | Spot price and inventory data are updated frequently. This cache duration aligns with industry data update cycles, balancing real-time performance and call costs |
recall_top_k | Top 8 entries | Energy metal research reports are dense with technical terminology. Too many recalled entries will increase context redundancy, while too few will fail to cover core supply and demand analysis content |
similarity_threshold | 0.75–0.85 | Energy metal research reports have strong correlations between sub-categories. A threshold that is too low will introduce irrelevant reports, while a threshold that is too high will miss relevant analysis |
structured_data_extract_mode | Group by category | Energy metal research reports include data for multiple categories such as lithium, cobalt, and nickel. Grouping by category allows precise matching of the sub-category specified in user queries |
maxContext | 16000 | Single in-depth research reports have a large word count. This setting adapts to long-context processing and avoids truncating critical policy interpretations and supply and demand balance analysis |
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, and testing on local samples is recommended before finalizing settings.
Three Common Mistakes
- Tool calls return a
504 Gateway Timeouterror. Cause: Thetool_call_timeoutparameter was not adjusted. Cross-data-source pulling for energy metal research reports takes longer than the default timeout threshold. - After enabling thought output, no thought process content appears in tool call results. Cause: The
tool_call_include_thoughtparameter was not set totrue, the model version is incompatible with the thought output format, or the corresponding switch was not enabled when adapting to long contexts. - When accessing the same conversation ID multiple times, historical tool call data is not correctly associated. Cause: Session history persistence parameters were not configured in the workflow, or the historical record retention round count does not match the context dependency requirements of tool calls.
How to Verify Correct Configuration
- Initiate a query that specifies a specific energy metal category (such as lithium prices) and verify that the data sources returned by the tool call are official channels from industry associations or exchanges.
- View tool call logs to confirm that the
tool_call_timeoutsetting matches the actual call duration, with no premature interruptions. - Test initiating multiple queries in the same conversation and confirm that historical tool call data is correctly loaded, with no context loss issues.
- Adjust the
similarity_thresholdparameter to verify that the relevance of recalled results meets expectations, with no excessive irrelevant reports included.
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.