What the Data for This Category Looks Like
Data sources for minor metal research reports include domestic minor metal industry news platforms, industry association monthly reports, daily spot market quotes, and public announcements from mining enterprises. Spot quote data is updated daily. Industry research reports are released weekly or monthly. Corporate announcements are updated in real time alongside industry developments.
Research report document structure includes title, publishing institution, release date, core data tables, supply and demand analysis, and downstream application interpretations. Core fields include metal spot price, total inventory, production capacity scale, and import and export volume. The corresponding units are yuan/kilogram, ton, ten thousand tons/year, and ton respectively.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
The daily update of spot data requires multi-turn dialogue to support real-time data recall, and avoid returning stale static knowledge base content.
A large amount of structured data in research reports is scattered across different sections. Multi-turn dialogue must retain context from previous questions such as metal category and data dimension, to ensure the model can associate relevant information in follow-up questions.
The diversity of field units requires prompts to clearly guide the model to uniformly mark units, and avoid confusion.
Differences in the authority of data from different sources require multi-turn dialogue to synchronize data sources and release times to users, to ensure information credibility.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | The length of a single minor metal research report is mostly 5000-8000 characters. Multi-turn dialogue needs to retain previous questions and recalled report fragments to avoid context overflow |
recallTopK | Top 6–8 results | Structured data in minor metal research reports is scattered across different sections. Sufficient relevant fragments must be recalled to cover core content such as prices, inventory, and supply and demand analysis |
similarityThreshold | 0.72–0.80 | Keywords in minor metal research reports have high recognition. A threshold that is too low will introduce irrelevant reports, while a threshold that is too high will miss valid content |
customUid | Combined of application + user ID + session ID | Meet session isolation requirements, avoid confusion of historical records between different users, and adapt to multi-user concurrent scenarios |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | A single research report contains a large number of tables and structured data, which requires a long parsing time to avoid parsing failure caused by timeout |
The parameter values provided on this page are common recommendations for establishing configuration starting points. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Calling the
getHistoryinterface returns full session data. This occurs because thecustomUidor session identifier field is not specified in the interface parameters, and session records are not filtered by user dimension. - Inconsistent units are returned during multi-turn dialogue, with both yuan/ton and yuan/kilogram appearing. This occurs because the prompt does not clearly require unified unit marking, and field unit mapping rules are not configured.
- Timeout errors occur when parsing minor metal research reports. This occurs because the
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted to a reasonable duration, and the parsing time of a single research report exceeds the default configuration.
How to Verify Proper Configuration
- Initiate a session request with
customUid, call thegetHistoryinterface, and verify that only session records for the current user are returned. - Initiate two related questions: first ask for inventory data of a specified minor metal, then ask for price changes of the same category, and verify that the model can associate context information from the previous question.
- Adjust the
similarityThresholdparameter, test the relevance of recall results, and confirm that the recall accuracy meets business requirements. - Upload a minor metal research report to the platform, and verify that parsed fields and units are complete, with no missing or incorrect content.
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.