What the Data for This Category Looks Like
Iron ore financial report analysis data is sourced primarily from quarterly and annual financial reports of listed mining enterprises, plus publicly available statistical data from industry associations. Enterprise financial reports are updated quarterly and annually, and include iron ore business revenue breakdowns, production volume, sales volume, average selling price, cost breakdowns, and related metrics. Industry data is updated daily and weekly, covering port inventories, sea freight rates, global supply and demand forecasts, and other dimensions. Data field units vary: production volume is measured in ten thousand tons, selling price in yuan per wet ton or US dollars per dry ton, and revenue in hundred million yuan. Data from different sources must be clearly distinguished and labeled.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
Decentralized data sources require clear differentiation between enterprise-owned financial report data and industry benchmark data during multi-turn dialogue, to avoid analysis confusion. Large differences in update frequencies require specifying data time ranges and update timestamps in prompts, to ensure the latest information is used. Inconsistent fields and units require explicit labeling of data sources and units at the start of dialogue, to prevent ambiguous output. Lengthy individual financial report texts require multi-turn dialogue to retain sufficient context to associate segmented fields from prior follow-up questions, avoiding information loss.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | A single quarterly iron ore financial report text is approximately 6000 characters. Retaining 8000–12000 characters covers complete historical dialogue and current analysis needs |
systemPromptTemplate | Fixed template requiring data source and unit labeling, only structured content output | Mixed units exist for iron ore data, so output format must be enforced to avoid ambiguity |
historyMessageCount | Last 10 dialogue turns | Users will gradually ask about segmented fields during multi-turn financial report analysis. Retaining the most recent 10 turns covers the complete analysis context |
tokenLimit | 16000 total tokens | A single annual financial report, after parsing, is approximately 12000 characters. Adding multi-turn dialogue context requires controlling total tokens below the threshold to avoid truncation |
toolCallEnable | Enabled | Industry data interfaces must be called to supplement benchmark data outside enterprise financial reports, such as industry benchmark price indices and port inventory data |
markdownRenderEnable | Enabled | Supports rendering prompts and output content into standard Markdown format to improve readability |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: When calling iron ore production volume data mentioned in prior dialogue during multi-turn dialogue, the interface returns empty fields. Cause: The
historyMessageCountparameter is not configured correctly, or themaxContextthreshold is too low, causing historical dialogue context to be automatically truncated. - Phenomenon: After calling tools to obtain iron ore price data, the output contains redundant natural language explanatory content. Cause: The
systemPromptTemplatedoes not explicitly require only structured data and tool call results to be output, causing the AI to generate additional dialogue content. - Phenomenon: Prompts written in Markdown format are finally output as plain text with # and * symbols, without displaying rendered typesetting effects. Cause: The
markdownRenderEnableparameter is not enabled, or the template does not specify rendering requirements.
How to Confirm the Configuration is Complete
- Launch a multi-turn dialogue that includes follow-up questions about segmented fields, check whether the system can correctly associate iron ore production volume, selling price, and other data from prior dialogue, and confirm that historical context calls work normally.
- Trigger the data acquisition process after configuring tool calls, check whether the output only contains structured data and necessary explanations, with no redundant natural language content.
- Submit a prompt written in Markdown format, check whether the interface displays the rendered typesetting effect, and does not show plain text markup symbols.
- View the token statistics module on the dialogue details page, confirm that input and output token counts are displayed separately, with no combined statistics.
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.