What the Data for This Category Looks Like
Data sources include public statistics from domestic nonferrous metal industry associations, spot listing data from futures exchanges, customs import and export declaration data, and production data publicly disclosed by mining and smelting enterprises. Update frequencies are divided into daily (spot prices, inventory changes), monthly (total import and export volume, industry supply and demand briefings), and quarterly (full-category supply and demand balance reports). Most documents use structured tables and short text descriptions. Structured sections include fields such as product grade, origin identifier, transaction unit price, inventory balance, and import and export volume. Most field units are yuan/kilogram, ton, or piece; some indicators use standard measurement symbols.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
The varied update schedules of multi-source, heterogeneous minor metal data require multi-turn dialogue systems to retain context parameters including category, region, and statistical cycle. This avoids repeated queries for already clarified information. The high share of structured documents requires prompts to explicitly specify the format for extracting target fields. This prevents generation of unstructured, vague responses. The diversity of field units requires prompts to include unified unit conversion rules. This ensures consistent measurement standards for output results. Data with different update frequencies uses different data source calling logic. Multi-turn dialogue workflows must generate clear follow-up prompts for unspecified parameters to supplement necessary query conditions.
How to Set Configurations
| Configuration Item | Recommended Value | Basis for This Setting |
|---|---|---|
maxContext | 8000–12000 characters | Multi-turn dialogue for minor metal due diligence must retain category, region, time and other multi-round parameters. This range covers context content for 3-5 rounds of interaction |
Similarity threshold | 0.75–0.85 | Minor metal data has many detailed fields. This threshold filters irrelevant industry general data and accurately matches field information for target categories |
Chunk size | 800–1200 characters | Structured tables in minor metal due diligence reports are often split into short paragraphs. This segment length retains complete field association information and avoids splitting that disrupts data logic |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Some minor metal import and export data documents have large file sizes. This duration ensures all structured fields are fully parsed |
Recall count | Top 6–8 entries | Minor metal categories have many detailed grades. This recall volume covers core fields such as common origin, price, and inventory, avoiding omission of key information |
Speech Recognition Model | Calibrate based on actual testing | Minor metal due diligence dialogues involve professional term pronunciations. Adjust the corresponding configuration based on actual recognition accuracy to ensure accurate conversion of professional terms |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing values.
Three Common Misconfigurations
- Phenomenon: Category and region parameters from subsequent queries in multi-turn dialogue are omitted, and output results are unrelated to previous round queries. Cause: The
maxContextparameter is not configured, or its value is set too small, so context information from multi-turn interactions cannot be retained. - Phenomenon: No text conversion content after voice input, or professional terms are misrecognized. Cause: A dedicated speech recognition model for minor metal professional terms is not configured, or the context association function for speech-to-text is not enabled.
- Phenomenon: Mixed unit labels such as yuan/kilogram and US dollar/ounce appear in the output due diligence report fields. Cause: The prompt does not explicitly specify unified unit conversion rules, and unit verification requirements are not added to the configuration.
How to Verify Proper Configuration
- Initiate more than 3 progressive queries. For example, first query the current spot price of tantalum, then supplementally ask for last month's inventory from Jiangxi origin, and finally request an output structured table. Verify that the system retains all preceding parameters and does not repeatedly ask for already clarified information.
- Upload a monthly due diligence document for minor metals to trigger the parsing process. Verify that the parsed fields include all preset core information such as category, origin, and price, with no missing fields or incorrect splitting.
- Enable the voice input function, read a query statement containing minor metal professional terms, and verify that the transcribed text accurately restores the professional terms and query intent.
- Call an HTTP node to obtain a BLOB-format due diligence report attachment, and verify that the interface generates a clickable download link, and the downloaded file format matches the original file.
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.