What the data for this category looks like
Special steel industry yield and market data is primarily sourced from spot trading platforms, public statistics released by domestic steel industry associations, and quotes for listed futures market contracts. This data is used for yield calculation and market updates for financial special steel-related wealth management and insurance products. Spot prices are updated each calendar day, industry inventory data is updated weekly, and futures quotes are updated in real time during trading hours. User-uploaded analysis documents are mostly structured tables containing fields including special steel grades, specification parameters, trading origin, daily average transaction price, and inventory scale. Grades are labeled with letter-plus-number combinations, specification units are millimeters, price units are yuan per ton, and inventory units are tons.
What Constraints Do These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
Data sources are scattered and follow different update cycles. Multi-turn dialogue must distinguish the calling logic between real-time market data and historical statistical data. Prompts must explicitly specify the time range and source type of requested data. Documents are structured tables with numerous fields. Multi-turn dialogue must support precise filtering by fields such as grade and specification. Prompts must preset field mapping rules to avoid confusion between price data for different grades. There are many types of special steel grades, with significant price differences across grades. Multi-turn dialogue must support precise grade matching. Prompts must include clear grade restriction conditions to prevent returning irrelevant data. Parsing large documents takes extended time. The multi-turn dialogue context window must support segmented recall for long documents. Prompts must include index prompts for document segments to ensure recalled content aligns with the current query.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | Previous 8–12 turns of dialogue | Adapts to the multi-field, multi-dimensional query requirements of special steel data, prevents context overflow |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to parsing structured table documents of 10–20 MB, prevents timeout interruptions for large files |
RECALL_TOP_K | Top 6–8 results | Special steel data has many fields; too many recalled results will clutter the context, too few will fail to cover all query dimensions |
SIMILARITY_THRESHOLD | 0.72–0.78 | Calibrated through actual testing, adapts to the precise matching requirements of special steel grades and specifications, avoids recalling irrelevant data |
PROMPT_TEMPLATE | Preset according to "special steel data field mapping + real-time/historical data distinction + context reference rules" | Clarifies the field correspondence of special steel data, distinguishes data sources with different update frequencies |
UPLOAD_FILE_MAX_SIZE | 20 MB | Adapts to large-sized structured documents commonly used in the industry, prevents file upload failures |
The parameter values provided on this page are general recommendations for starting configuration points. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- An error indicating field format failure appears in the debug preview interface after entering guide configuration. The cause is that the custom thesaurus does not have matching terms configured according to the naming rules of special steel grades, causing the input guide to trigger a verification failure.
- Parsing time for large special steel documents exceeds expectations, ultimately returning a timeout error. The cause is failure to adjust the
PARSE_FILE_TIMEOUT_SECONDSparameter; using the default value causes large file parsing to interrupt. - Prompt optimization for multi-turn dialogue takes a long time, and overall response exceeds the preset duration. The cause is failure to optimize the field restriction logic of the prompt template, causing the model to repeatedly verify irrelevant data and extend the processing cycle.
How to Confirm Proper Configuration
- Upload a single special steel structured document under 20 MB, check whether the parsing progress completes within a reasonable duration, confirm that the
PARSE_FILE_TIMEOUT_SECONDSvalue adapts to the current document size. - Initiate a multi-turn dialogue, sequentially query the price and inventory data of different special steel grades, verify whether the returned content corresponds to the fields in the uploaded document, confirm that the field mapping rules of the prompt template take effect.
- Adjust the custom thesaurus for input guidance, enter a special steel grade to trigger the guide, confirm that the interface shows no errors and that the guide content matches the special steel data query scenario.
- Test the context continuity of multi-turn dialogue, initiate 3 or more consecutive related data queries, confirm that the returned results do not show context loss, confirm that the context window parameter value adapts to the dialogue requirements.
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.